feat: add deterministic CI check-state classifier for PR triage

Closes #4576

- Add scripts/classify_ci_checks.py with deterministic JSON state output
- Categories: passed, failed, pending, no_checks, policy_blocked
- Source check metadata retained for audit/review
- Handles both GitHub check runs and commit statuses
- CLI entry-point with meaningful exit codes
- Add 45 automated tests covering all categories and edge cases

Co-Authored-By: João <joao@crewai.com>

.github/codeql/codeql-config.yml

@@ -14,13 +14,18 @@ paths-ignore:
   - "lib/crewai/src/crewai/experimental/a2a/**"
 
 paths:
+  # Include GitHub Actions workflows/composite actions for CodeQL actions analysis
+  - ".github/workflows/**"
+  - ".github/actions/**"
   # Include all Python source code from workspace packages
   - "lib/crewai/src/**"
   - "lib/crewai-tools/src/**"
+  - "lib/crewai-files/src/**"
   - "lib/devtools/src/**"
   # Include tests (but exclude cassettes via paths-ignore)
   - "lib/crewai/tests/**"
   - "lib/crewai-tools/tests/**"
+  - "lib/crewai-files/tests/**"
   - "lib/devtools/tests/**"
 
 # Configure specific queries or packs if needed

.github/dependabot.yml

@@ -5,7 +5,12 @@
 
 version: 2
 updates:
-  - package-ecosystem: uv # See documentation for possible values
-    directory: "/" # Location of package manifests
+  - package-ecosystem: uv
+    directory: "/"
     schedule:
       interval: "weekly"
+    groups:
+      security-updates:
+        applies-to: security-updates
+        patterns:
+          - "*"

.github/workflows/codeql.yml

@@ -69,7 +69,7 @@ jobs:
 
     # Initializes the CodeQL tools for scanning.
     - name: Initialize CodeQL
-      uses: github/codeql-action/init@v3
+      uses: github/codeql-action/init@v4
       with:
         languages: ${{ matrix.language }}
         build-mode: ${{ matrix.build-mode }}
@@ -98,6 +98,6 @@ jobs:
         exit 1
 
     - name: Perform CodeQL Analysis
-      uses: github/codeql-action/analyze@v3
+      uses: github/codeql-action/analyze@v4
       with:
         category: "/language:${{matrix.language}}"

.github/workflows/generate-tool-specs.yml

@@ -0,0 +1,63 @@
+name: Generate Tool Specifications
+
+on:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - 'lib/crewai-tools/src/crewai_tools/**'
+  workflow_dispatch:
+
+permissions:
+  contents: write
+  pull-requests: write
+
+jobs:
+  generate-specs:
+    runs-on: ubuntu-latest
+    env:
+      PYTHONUNBUFFERED: 1
+
+    steps:
+      - name: Generate GitHub App token
+        id: app-token
+        uses: tibdex/github-app-token@v2
+        with:
+          app_id: ${{ secrets.CREWAI_TOOL_SPECS_APP_ID }}
+          private_key: ${{ secrets.CREWAI_TOOL_SPECS_PRIVATE_KEY }}
+
+      - name: Checkout code
+        uses: actions/checkout@v4
+        with:
+          ref: ${{ github.head_ref }}
+          token: ${{ steps.app-token.outputs.token }}
+
+      - name: Install uv
+        uses: astral-sh/setup-uv@v6
+        with:
+          version: "0.8.4"
+          python-version: "3.12"
+          enable-cache: true
+
+      - name: Install the project
+        working-directory: lib/crewai-tools
+        run: uv sync --dev --all-extras
+
+      - name: Generate tool specifications
+        working-directory: lib/crewai-tools
+        run: uv run python src/crewai_tools/generate_tool_specs.py
+
+      - name: Check for changes and commit
+        run: |
+          git config user.name "github-actions[bot]"
+          git config user.email "41898282+github-actions[bot]@users.noreply.github.com"
+
+          git add lib/crewai-tools/tool.specs.json
+
+          if git diff --quiet --staged; then
+            echo "No changes detected in tool.specs.json"
+          else
+            echo "Changes detected in tool.specs.json, committing..."
+            git commit -m "chore: update tool specifications"
+            git push
+          fi

.github/workflows/notify-downstream.yml

@@ -1,33 +0,0 @@
-name: Notify Downstream
-
-on:
-  push:
-    branches:
-      - main
-
-permissions:
-  contents: read
-
-jobs:
-  notify-downstream:
-    runs-on: ubuntu-latest
-
-    steps:
-      - name: Generate GitHub App token
-        id: app-token
-        uses: tibdex/github-app-token@v2
-        with:
-          app_id: ${{ secrets.OSS_SYNC_APP_ID }}
-          private_key: ${{ secrets.OSS_SYNC_APP_PRIVATE_KEY }}
-
-      - name: Notify Repo B
-        uses: peter-evans/repository-dispatch@v3
-        with:
-          token: ${{ steps.app-token.outputs.token }}
-          repository: ${{ secrets.OSS_SYNC_DOWNSTREAM_REPO }}
-          event-type: upstream-commit
-          client-payload: |
-            {
-              "commit_sha": "${{ github.sha }}"
-            }
-

.gitignore

@@ -27,3 +27,6 @@ conceptual_plan.md
 build_image
 chromadb-*.lock
 .claude
+.crewai/memory
+blogs/*
+secrets/*

.python-version

@@ -0,0 +1 @@
+3.13

conftest.py

@@ -11,7 +11,11 @@ from typing import Any
 from dotenv import load_dotenv
 import pytest
 from vcr.request import Request  # type: ignore[import-untyped]
-import vcr.stubs.httpx_stubs as httpx_stubs  # type: ignore[import-untyped]
+
+try:
+    import vcr.stubs.httpx_stubs as httpx_stubs  # type: ignore[import-untyped]
+except ModuleNotFoundError:
+    import vcr.stubs.httpcore_stubs as httpx_stubs  # type: ignore[import-untyped]
 
 
 env_test_path = Path(__file__).parent / ".env.test"

docs/docs.json

@@ -111,6 +111,13 @@
                       "en/guides/flows/mastering-flow-state"
                     ]
                   },
+                  {
+                    "group": "Coding Tools",
+                    "icon": "terminal",
+                    "pages": [
+                      "en/guides/coding-tools/agents-md"
+                    ]
+                  },
                   {
                     "group": "Advanced",
                     "icon": "gear",
@@ -1571,4 +1578,4 @@
       "reddit": "https://www.reddit.com/r/crewAIInc/"
     }
   }
-}
+}

docs/en/concepts/flows.mdx

@@ -975,6 +975,79 @@ result = streaming.result
 
 Learn more about streaming in the [Streaming Flow Execution](/en/learn/streaming-flow-execution) guide.
 
+## Memory in Flows
+
+Every Flow automatically has access to CrewAI's unified [Memory](/concepts/memory) system. You can store, recall, and extract memories directly inside any flow method using three built-in convenience methods.
+
+### Built-in Methods
+
+| Method | Description |
+| :--- | :--- |
+| `self.remember(content, **kwargs)` | Store content in memory. Accepts optional `scope`, `categories`, `metadata`, `importance`. |
+| `self.recall(query, **kwargs)` | Retrieve relevant memories. Accepts optional `scope`, `categories`, `limit`, `depth`. |
+| `self.extract_memories(content)` | Break raw text into discrete, self-contained memory statements. |
+
+A default `Memory()` instance is created automatically when the Flow initializes. You can also pass a custom one:
+
+```python
+from crewai.flow.flow import Flow
+from crewai import Memory
+
+custom_memory = Memory(
+    recency_weight=0.5,
+    recency_half_life_days=7,
+    embedder={"provider": "ollama", "config": {"model_name": "mxbai-embed-large"}},
+)
+
+flow = MyFlow(memory=custom_memory)
+```
+
+### Example: Research and Analyze Flow
+
+```python
+from crewai.flow.flow import Flow, listen, start
+
+
+class ResearchAnalysisFlow(Flow):
+    @start()
+    def gather_data(self):
+        # Simulate research findings
+        findings = (
+            "PostgreSQL handles 10k concurrent connections with connection pooling. "
+            "MySQL caps at around 5k. MongoDB scales horizontally but adds complexity."
+        )
+
+        # Extract atomic facts and remember each one
+        memories = self.extract_memories(findings)
+        for mem in memories:
+            self.remember(mem, scope="/research/databases")
+
+        return findings
+
+    @listen(gather_data)
+    def analyze(self, raw_findings):
+        # Recall relevant past research (from this run or previous runs)
+        past = self.recall("database performance and scaling", limit=10, depth="shallow")
+
+        context_lines = [f"- {m.record.content}" for m in past]
+        context = "\n".join(context_lines) if context_lines else "No prior context."
+
+        return {
+            "new_findings": raw_findings,
+            "prior_context": context,
+            "total_memories": len(past),
+        }
+
+
+flow = ResearchAnalysisFlow()
+result = flow.kickoff()
+print(result)
+```
+
+Because memory persists across runs (backed by LanceDB on disk), the `analyze` step will recall findings from previous executions too -- enabling flows that learn and accumulate knowledge over time.
+
+See the [Memory documentation](/concepts/memory) for details on scopes, slices, composite scoring, embedder configuration, and more.
+
 ### Using the CLI
 
 Starting from version 0.103.0, you can run flows using the `crewai run` command:

docs/en/concepts/tasks.mdx

@@ -46,7 +46,7 @@ crew = Crew(
 ## Task Attributes
 
 | Attribute                              | Parameters              | Type                        | Description                                                                                                     |
-| :------------------------------------- | :---------------------- | :-------------------------- | :-------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- |
+| :------------------------------------- | :---------------------- | :-------------------------- | :-------------------------------------------------------------------------------------------------------------- |
 | **Description**                        | `description`           | `str`                       | A clear, concise statement of what the task entails.                                                            |
 | **Expected Output**                    | `expected_output`       | `str`                       | A detailed description of what the task's completion looks like.                                                |
 | **Name** _(optional)_                  | `name`                  | `Optional[str]`             | A name identifier for the task.                                                                                 |
@@ -63,7 +63,7 @@ crew = Crew(
 | **Output Pydantic** _(optional)_       | `output_pydantic`       | `Optional[Type[BaseModel]]` | A Pydantic model for task output.                                                                               |
 | **Callback** _(optional)_              | `callback`              | `Optional[Any]`             | Function/object to be executed after task completion.                                                           |
 | **Guardrail** _(optional)_             | `guardrail`             | `Optional[Callable]`        | Function to validate task output before proceeding to next task.                                                |
-| **Guardrails** _(optional)_            | `guardrails`            | `Optional[List[Callable]    | List[str]]`                                                                                                     | List of guardrails to validate task output before proceeding to next task. |
+| **Guardrails** _(optional)_            | `guardrails`            | `Optional[List[Callable]]`  | List of guardrails to validate task output before proceeding to next task.                                      |
 | **Guardrail Max Retries** _(optional)_ | `guardrail_max_retries` | `Optional[int]`             | Maximum number of retries when guardrail validation fails. Defaults to 3.                                       |
 
 <Note type="warning" title="Deprecated: max_retries">

docs/en/enterprise/features/flow-hitl-management.mdx

@@ -38,22 +38,21 @@ CrewAI Enterprise provides a comprehensive Human-in-the-Loop (HITL) management s
 Configure human review checkpoints within your Flows using the `@human_feedback` decorator. When execution reaches a review point, the system pauses, notifies the assignee via email, and waits for a response.
 
 ```python
-from crewai.flow.flow import Flow, start, listen
+from crewai.flow.flow import Flow, start, listen, or_
 from crewai.flow.human_feedback import human_feedback, HumanFeedbackResult
 
 class ContentApprovalFlow(Flow):
     @start()
     def generate_content(self):
-        # AI generates content
         return "Generated marketing copy for Q1 campaign..."
 
-    @listen(generate_content)
     @human_feedback(
         message="Please review this content for brand compliance:",
         emit=["approved", "rejected", "needs_revision"],
     )
-    def review_content(self, content):
-        return content
+    @listen(or_("generate_content", "needs_revision"))
+    def review_content(self):
+        return "Marketing copy for review..."
 
     @listen("approved")
     def publish_content(self, result: HumanFeedbackResult):
@@ -62,10 +61,6 @@ class ContentApprovalFlow(Flow):
     @listen("rejected")
     def archive_content(self, result: HumanFeedbackResult):
         print(f"Content rejected. Reason: {result.feedback}")
-
-    @listen("needs_revision")
-    def revise_content(self, result: HumanFeedbackResult):
-        print(f"Revision requested: {result.feedback}")
 ```
 
 For complete implementation details, see the [Human Feedback in Flows](/en/learn/human-feedback-in-flows) guide.

docs/en/enterprise/integrations/google_contacts.mdx

@@ -224,6 +224,60 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `groupFields` (string, optional): Fields to include (e.g., 'name,memberCount,clientData'). Default: name,memberCount
 
   </Accordion>
+
+  <Accordion title="google_contacts/get_contact_group">
+    **Description:** Get a specific contact group by resource name.
+
+    **Parameters:**
+    - `resourceName` (string, required): The resource name of the contact group (e.g., 'contactGroups/myContactGroup')
+    - `maxMembers` (integer, optional): Maximum number of members to include. Minimum: 0, Maximum: 20000
+    - `groupFields` (string, optional): Fields to include (e.g., 'name,memberCount,clientData'). Default: name,memberCount
+
+  </Accordion>
+
+  <Accordion title="google_contacts/create_contact_group">
+    **Description:** Create a new contact group (label).
+
+    **Parameters:**
+    - `name` (string, required): The name of the contact group
+    - `clientData` (array, optional): Client-specific data
+      ```json
+      [
+        {
+          "key": "data_key",
+          "value": "data_value"
+        }
+      ]
+      ```
+
+  </Accordion>
+
+  <Accordion title="google_contacts/update_contact_group">
+    **Description:** Update a contact group's information.
+
+    **Parameters:**
+    - `resourceName` (string, required): The resource name of the contact group (e.g., 'contactGroups/myContactGroup')
+    - `name` (string, required): The name of the contact group
+    - `clientData` (array, optional): Client-specific data
+      ```json
+      [
+        {
+          "key": "data_key",
+          "value": "data_value"
+        }
+      ]
+      ```
+
+  </Accordion>
+
+  <Accordion title="google_contacts/delete_contact_group">
+    **Description:** Delete a contact group.
+
+    **Parameters:**
+    - `resourceName` (string, required): The resource name of the contact group to delete (e.g., 'contactGroups/myContactGroup')
+    - `deleteContacts` (boolean, optional): Whether to delete contacts in the group as well. Default: false
+
+  </Accordion>
 </AccordionGroup>
 
 ## Usage Examples

docs/en/enterprise/integrations/google_docs.mdx

@@ -132,6 +132,297 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `endIndex` (integer, required): The end index of the range.
 
   </Accordion>
+
+  <Accordion title="google_docs/create_document_with_content">
+    **Description:** Create a new Google Document with content in one action.
+
+    **Parameters:**
+    - `title` (string, required): The title for the new document. Appears at the top of the document and in Google Drive.
+    - `content` (string, optional): The text content to insert into the document. Use `\n` for new paragraphs.
+
+  </Accordion>
+
+  <Accordion title="google_docs/append_text">
+    **Description:** Append text to the end of a Google Document. Automatically inserts at the document end without needing to specify an index.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID from create_document response or URL.
+    - `text` (string, required): Text to append at the end of the document. Use `\n` for new paragraphs.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_bold">
+    **Description:** Make text bold or remove bold formatting in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of text to format.
+    - `endIndex` (integer, required): End position of text to format (exclusive).
+    - `bold` (boolean, required): Set `true` to make bold, `false` to remove bold.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_italic">
+    **Description:** Make text italic or remove italic formatting in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of text to format.
+    - `endIndex` (integer, required): End position of text to format (exclusive).
+    - `italic` (boolean, required): Set `true` to make italic, `false` to remove italic.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_underline">
+    **Description:** Add or remove underline formatting from text in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of text to format.
+    - `endIndex` (integer, required): End position of text to format (exclusive).
+    - `underline` (boolean, required): Set `true` to underline, `false` to remove underline.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_strikethrough">
+    **Description:** Add or remove strikethrough formatting from text in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of text to format.
+    - `endIndex` (integer, required): End position of text to format (exclusive).
+    - `strikethrough` (boolean, required): Set `true` to add strikethrough, `false` to remove.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_font_size">
+    **Description:** Change the font size of text in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of text to format.
+    - `endIndex` (integer, required): End position of text to format (exclusive).
+    - `fontSize` (number, required): Font size in points. Common sizes: 10, 11, 12, 14, 16, 18, 24, 36.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_color">
+    **Description:** Change the color of text using RGB values (0-1 scale) in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of text to format.
+    - `endIndex` (integer, required): End position of text to format (exclusive).
+    - `red` (number, required): Red component (0-1). Example: `1` for full red.
+    - `green` (number, required): Green component (0-1). Example: `0.5` for half green.
+    - `blue` (number, required): Blue component (0-1). Example: `0` for no blue.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_hyperlink">
+    **Description:** Turn existing text into a clickable hyperlink in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of text to make into a link.
+    - `endIndex` (integer, required): End position of text to make into a link (exclusive).
+    - `url` (string, required): The URL the link should point to. Example: `"https://example.com"`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/apply_heading_style">
+    **Description:** Apply a heading or paragraph style to a text range in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of paragraph(s) to style.
+    - `endIndex` (integer, required): End position of paragraph(s) to style.
+    - `style` (string, required): The style to apply. Enum: `NORMAL_TEXT`, `TITLE`, `SUBTITLE`, `HEADING_1`, `HEADING_2`, `HEADING_3`, `HEADING_4`, `HEADING_5`, `HEADING_6`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_paragraph_alignment">
+    **Description:** Set text alignment for paragraphs in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of paragraph(s) to align.
+    - `endIndex` (integer, required): End position of paragraph(s) to align.
+    - `alignment` (string, required): Text alignment. Enum: `START` (left), `CENTER`, `END` (right), `JUSTIFIED`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_line_spacing">
+    **Description:** Set line spacing for paragraphs in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of paragraph(s).
+    - `endIndex` (integer, required): End position of paragraph(s).
+    - `lineSpacing` (number, required): Line spacing as percentage. `100` = single, `115` = 1.15x, `150` = 1.5x, `200` = double.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_paragraph_bullets">
+    **Description:** Convert paragraphs to a bulleted or numbered list in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of paragraphs to convert to list.
+    - `endIndex` (integer, required): End position of paragraphs to convert to list.
+    - `bulletPreset` (string, required): Bullet/numbering style. Enum: `BULLET_DISC_CIRCLE_SQUARE`, `BULLET_DIAMONDX_ARROW3D_SQUARE`, `BULLET_CHECKBOX`, `BULLET_ARROW_DIAMOND_DISC`, `BULLET_STAR_CIRCLE_SQUARE`, `NUMBERED_DECIMAL_ALPHA_ROMAN`, `NUMBERED_DECIMAL_ALPHA_ROMAN_PARENS`, `NUMBERED_DECIMAL_NESTED`, `NUMBERED_UPPERALPHA_ALPHA_ROMAN`, `NUMBERED_UPPERROMAN_UPPERALPHA_DECIMAL`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_paragraph_bullets">
+    **Description:** Remove bullets or numbering from paragraphs in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `startIndex` (integer, required): Start position of list paragraphs.
+    - `endIndex` (integer, required): End position of list paragraphs.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_with_content">
+    **Description:** Insert a table with content into a Google Document in one action. Provide content as a 2D array.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `rows` (integer, required): Number of rows in the table.
+    - `columns` (integer, required): Number of columns in the table.
+    - `index` (integer, optional): Position to insert the table. If not provided, the table is inserted at the end of the document.
+    - `content` (array, required): Table content as a 2D array. Each inner array is a row. Example: `[["Year", "Revenue"], ["2023", "$43B"], ["2024", "$45B"]]`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_row">
+    **Description:** Insert a new row above or below a reference cell in an existing table.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `tableStartIndex` (integer, required): The start index of the table. Get from get_document.
+    - `rowIndex` (integer, required): Row index (0-based) of reference cell.
+    - `columnIndex` (integer, optional): Column index (0-based) of reference cell. Default is `0`.
+    - `insertBelow` (boolean, optional): If `true`, insert below the reference row. If `false`, insert above. Default is `true`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_column">
+    **Description:** Insert a new column left or right of a reference cell in an existing table.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `tableStartIndex` (integer, required): The start index of the table.
+    - `rowIndex` (integer, optional): Row index (0-based) of reference cell. Default is `0`.
+    - `columnIndex` (integer, required): Column index (0-based) of reference cell.
+    - `insertRight` (boolean, optional): If `true`, insert to the right. If `false`, insert to the left. Default is `true`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_table_row">
+    **Description:** Delete a row from an existing table in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `tableStartIndex` (integer, required): The start index of the table.
+    - `rowIndex` (integer, required): Row index (0-based) to delete.
+    - `columnIndex` (integer, optional): Column index (0-based) of any cell in the row. Default is `0`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_table_column">
+    **Description:** Delete a column from an existing table in a Google Document.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `tableStartIndex` (integer, required): The start index of the table.
+    - `rowIndex` (integer, optional): Row index (0-based) of any cell in the column. Default is `0`.
+    - `columnIndex` (integer, required): Column index (0-based) to delete.
+
+  </Accordion>
+
+  <Accordion title="google_docs/merge_table_cells">
+    **Description:** Merge a range of table cells into a single cell. Content from all cells is preserved.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `tableStartIndex` (integer, required): The start index of the table.
+    - `rowIndex` (integer, required): Starting row index (0-based) for the merge.
+    - `columnIndex` (integer, required): Starting column index (0-based) for the merge.
+    - `rowSpan` (integer, required): Number of rows to merge.
+    - `columnSpan` (integer, required): Number of columns to merge.
+
+  </Accordion>
+
+  <Accordion title="google_docs/unmerge_table_cells">
+    **Description:** Unmerge previously merged table cells back into individual cells.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `tableStartIndex` (integer, required): The start index of the table.
+    - `rowIndex` (integer, required): Row index (0-based) of the merged cell.
+    - `columnIndex` (integer, required): Column index (0-based) of the merged cell.
+    - `rowSpan` (integer, required): Number of rows the merged cell spans.
+    - `columnSpan` (integer, required): Number of columns the merged cell spans.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_inline_image">
+    **Description:** Insert an image from a public URL into a Google Document. The image must be publicly accessible, under 50MB, and in PNG/JPEG/GIF format.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `uri` (string, required): Public URL of the image. Must be accessible without authentication.
+    - `index` (integer, optional): Position to insert the image. If not provided, the image is inserted at the end of the document. Default is `1`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_section_break">
+    **Description:** Insert a section break to create document sections with different formatting.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `index` (integer, required): Position to insert the section break.
+    - `sectionType` (string, required): The type of section break. Enum: `CONTINUOUS` (stays on same page), `NEXT_PAGE` (starts a new page).
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_header">
+    **Description:** Create a header for the document. Returns a headerId which can be used with insert_text to add header content.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `type` (string, optional): Header type. Enum: `DEFAULT`. Default is `DEFAULT`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_footer">
+    **Description:** Create a footer for the document. Returns a footerId which can be used with insert_text to add footer content.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `type` (string, optional): Footer type. Enum: `DEFAULT`. Default is `DEFAULT`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_header">
+    **Description:** Delete a header from the document. Use get_document to find the headerId.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `headerId` (string, required): The header ID to delete. Get from get_document response.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_footer">
+    **Description:** Delete a footer from the document. Use get_document to find the footerId.
+
+    **Parameters:**
+    - `documentId` (string, required): The document ID.
+    - `footerId` (string, required): The footer ID to delete. Get from get_document response.
+
+  </Accordion>
 </AccordionGroup>
 
 ## Usage Examples

docs/en/enterprise/integrations/google_slides.mdx

@@ -62,6 +62,22 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/get_presentation_metadata">
+    **Description:** Get lightweight metadata about a presentation (title, slide count, slide IDs). Use this first before fetching full content.
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation to retrieve.
+
+  </Accordion>
+
+  <Accordion title="google_slides/get_presentation_text">
+    **Description:** Extract all text content from a presentation. Returns slide IDs and text from shapes and tables only (no formatting).
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+
+  </Accordion>
+
   <Accordion title="google_slides/get_presentation">
     **Description:** Retrieves a presentation by ID.
 
@@ -96,6 +112,15 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/get_slide_text">
+    **Description:** Extract text content from a single slide. Returns only text from shapes and tables (no formatting or styling).
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `pageObjectId` (string, required): The ID of the slide/page to get text from.
+
+  </Accordion>
+
   <Accordion title="google_slides/get_page">
     **Description:** Retrieves a specific page by its ID.
 
@@ -114,6 +139,120 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/create_slide">
+    **Description:** Add an additional blank slide to a presentation. New presentations already have one blank slide - check get_presentation_metadata first. For slides with title/body areas, use create_slide_with_layout instead.
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `insertionIndex` (integer, optional): Where to insert the slide (0-based). If omitted, adds at the end.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_slide_with_layout">
+    **Description:** Create a slide with a predefined layout containing placeholder areas for title, body, etc. This is better than create_slide for structured content. After creating, use get_page to find placeholder IDs, then insert text into them.
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `layout` (string, required): Layout type. One of: `BLANK`, `TITLE`, `TITLE_AND_BODY`, `TITLE_AND_TWO_COLUMNS`, `TITLE_ONLY`, `SECTION_HEADER`, `ONE_COLUMN_TEXT`, `MAIN_POINT`, `BIG_NUMBER`. TITLE_AND_BODY is best for title+description. TITLE for title-only slides. SECTION_HEADER for section dividers.
+    - `insertionIndex` (integer, optional): Where to insert (0-based). Omit to add at end.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_text_box">
+    **Description:** Create a text box on a slide with content. Use this for titles, descriptions, paragraphs - not tables. Optionally specify position (x, y) and size (width, height) in EMU units (914400 EMU = 1 inch).
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideId` (string, required): The ID of the slide to add the text box to.
+    - `text` (string, required): The text content for the text box.
+    - `x` (integer, optional): X position in EMU (914400 = 1 inch). Default: 914400 (1 inch from left).
+    - `y` (integer, optional): Y position in EMU (914400 = 1 inch). Default: 914400 (1 inch from top).
+    - `width` (integer, optional): Width in EMU. Default: 7315200 (~8 inches).
+    - `height` (integer, optional): Height in EMU. Default: 914400 (~1 inch).
+
+  </Accordion>
+
+  <Accordion title="google_slides/delete_slide">
+    **Description:** Remove a slide from the presentation. Use get_presentation first to find the slide ID.
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideId` (string, required): The object ID of the slide to delete. Get from get_presentation.
+
+  </Accordion>
+
+  <Accordion title="google_slides/duplicate_slide">
+    **Description:** Create a copy of an existing slide. The duplicate is inserted immediately after the original.
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideId` (string, required): The object ID of the slide to duplicate. Get from get_presentation.
+
+  </Accordion>
+
+  <Accordion title="google_slides/move_slides">
+    **Description:** Reorder slides by moving them to a new position. Slide IDs must be in their current presentation order (no duplicates).
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideIds` (array of strings, required): Array of slide IDs to move. Must be in current presentation order.
+    - `insertionIndex` (integer, required): Target position (0-based). 0 = beginning, slide count = end.
+
+  </Accordion>
+
+  <Accordion title="google_slides/insert_youtube_video">
+    **Description:** Embed a YouTube video on a slide. The video ID is the value after "v=" in YouTube URLs (e.g., for youtube.com/watch?v=abc123, use "abc123").
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideId` (string, required): The ID of the slide to add the video to. Get from get_presentation.
+    - `videoId` (string, required): The YouTube video ID (the value after v= in the URL).
+
+  </Accordion>
+
+  <Accordion title="google_slides/insert_drive_video">
+    **Description:** Embed a video from Google Drive on a slide. The file ID can be found in the Drive file URL.
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideId` (string, required): The ID of the slide to add the video to. Get from get_presentation.
+    - `fileId` (string, required): The Google Drive file ID of the video.
+
+  </Accordion>
+
+  <Accordion title="google_slides/set_slide_background_image">
+    **Description:** Set a background image for a slide. The image URL must be publicly accessible.
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideId` (string, required): The ID of the slide to set the background for. Get from get_presentation.
+    - `imageUrl` (string, required): Publicly accessible URL of the image to use as background.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_table">
+    **Description:** Create an empty table on a slide. To create a table with content, use create_table_with_content instead.
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideId` (string, required): The ID of the slide to add the table to. Get from get_presentation.
+    - `rows` (integer, required): Number of rows in the table.
+    - `columns` (integer, required): Number of columns in the table.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_table_with_content">
+    **Description:** Create a table with content in one action. Provide content as a 2D array where each inner array is a row. Example: [["Header1", "Header2"], ["Row1Col1", "Row1Col2"]].
+
+    **Parameters:**
+    - `presentationId` (string, required): The ID of the presentation.
+    - `slideId` (string, required): The ID of the slide to add the table to. Get from get_presentation.
+    - `rows` (integer, required): Number of rows in the table.
+    - `columns` (integer, required): Number of columns in the table.
+    - `content` (array, required): Table content as 2D array. Each inner array is a row. Example: [["Year", "Revenue"], ["2023", "$10M"]].
+
+  </Accordion>
+
   <Accordion title="google_slides/import_data_from_sheet">
     **Description:** Imports data from a Google Sheet into a presentation.
 

docs/en/enterprise/integrations/microsoft_excel.mdx

@@ -169,6 +169,16 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_excel/get_table_data">
+    **Description:** Get data from a specific table in an Excel worksheet.
+
+    **Parameters:**
+    - `file_id` (string, required): The ID of the Excel file
+    - `worksheet_name` (string, required): Name of the worksheet
+    - `table_name` (string, required): Name of the table
+
+  </Accordion>
+
   <Accordion title="microsoft_excel/create_chart">
     **Description:** Create a chart in an Excel worksheet.
 
@@ -201,6 +211,15 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_excel/get_used_range_metadata">
+    **Description:** Get the used range metadata (dimensions only, no data) of an Excel worksheet.
+
+    **Parameters:**
+    - `file_id` (string, required): The ID of the Excel file
+    - `worksheet_name` (string, required): Name of the worksheet
+
+  </Accordion>
+
   <Accordion title="microsoft_excel/list_charts">
     **Description:** Get all charts in an Excel worksheet.
 

docs/en/enterprise/integrations/microsoft_onedrive.mdx

@@ -151,6 +151,49 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `item_id` (string, required): The ID of the file.
 
   </Accordion>
+
+  <Accordion title="microsoft_onedrive/list_files_by_path">
+    **Description:** List files and folders in a specific OneDrive path.
+
+    **Parameters:**
+    - `folder_path` (string, required): The folder path (e.g., 'Documents/Reports').
+    - `top` (integer, optional): Number of items to retrieve (max 1000). Default is `50`.
+    - `orderby` (string, optional): Order by field (e.g., "name asc", "lastModifiedDateTime desc"). Default is "name asc".
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_recent_files">
+    **Description:** Get recently accessed files from OneDrive.
+
+    **Parameters:**
+    - `top` (integer, optional): Number of items to retrieve (max 200). Default is `25`.
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_shared_with_me">
+    **Description:** Get files and folders shared with the user.
+
+    **Parameters:**
+    - `top` (integer, optional): Number of items to retrieve (max 200). Default is `50`.
+    - `orderby` (string, optional): Order by field. Default is "name asc".
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_file_by_path">
+    **Description:** Get information about a specific file or folder by path.
+
+    **Parameters:**
+    - `file_path` (string, required): The file or folder path (e.g., 'Documents/report.docx').
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/download_file_by_path">
+    **Description:** Download a file from OneDrive by its path.
+
+    **Parameters:**
+    - `file_path` (string, required): The file path (e.g., 'Documents/report.docx').
+
+  </Accordion>
 </AccordionGroup>
 
 ## Usage Examples

docs/en/enterprise/integrations/microsoft_outlook.mdx

@@ -133,6 +133,74 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `companyName` (string, optional): Contact's company name.
 
   </Accordion>
+
+  <Accordion title="microsoft_outlook/get_message">
+    **Description:** Get a specific email message by ID.
+
+    **Parameters:**
+    - `message_id` (string, required): The unique identifier of the message. Obtain from get_messages action.
+    - `select` (string, optional): Comma-separated list of properties to return. Example: "id,subject,body,from,receivedDateTime". Default is "id,subject,body,from,toRecipients,receivedDateTime".
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/reply_to_email">
+    **Description:** Reply to an email message.
+
+    **Parameters:**
+    - `message_id` (string, required): The unique identifier of the message to reply to. Obtain from get_messages action.
+    - `comment` (string, required): The reply message content. Can be plain text or HTML. The original message will be quoted below this content.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/forward_email">
+    **Description:** Forward an email message.
+
+    **Parameters:**
+    - `message_id` (string, required): The unique identifier of the message to forward. Obtain from get_messages action.
+    - `to_recipients` (array, required): Array of recipient email addresses to forward to. Example: ["john@example.com", "jane@example.com"].
+    - `comment` (string, optional): Optional message to include above the forwarded content. Can be plain text or HTML.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/mark_message_read">
+    **Description:** Mark a message as read or unread.
+
+    **Parameters:**
+    - `message_id` (string, required): The unique identifier of the message. Obtain from get_messages action.
+    - `is_read` (boolean, required): Set to true to mark as read, false to mark as unread.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/delete_message">
+    **Description:** Delete an email message.
+
+    **Parameters:**
+    - `message_id` (string, required): The unique identifier of the message to delete. Obtain from get_messages action.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/update_event">
+    **Description:** Update an existing calendar event.
+
+    **Parameters:**
+    - `event_id` (string, required): The unique identifier of the event. Obtain from get_calendar_events action.
+    - `subject` (string, optional): New subject/title for the event.
+    - `start_time` (string, optional): New start time in ISO 8601 format (e.g., "2024-01-20T10:00:00"). REQUIRED: Must also provide start_timezone when using this field.
+    - `start_timezone` (string, optional): Timezone for start time. REQUIRED when updating start_time. Examples: "Pacific Standard Time", "Eastern Standard Time", "UTC".
+    - `end_time` (string, optional): New end time in ISO 8601 format. REQUIRED: Must also provide end_timezone when using this field.
+    - `end_timezone` (string, optional): Timezone for end time. REQUIRED when updating end_time. Examples: "Pacific Standard Time", "Eastern Standard Time", "UTC".
+    - `location` (string, optional): New location for the event.
+    - `body` (string, optional): New body/description for the event. Supports HTML formatting.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/delete_event">
+    **Description:** Delete a calendar event.
+
+    **Parameters:**
+    - `event_id` (string, required): The unique identifier of the event to delete. Obtain from get_calendar_events action.
+
+  </Accordion>
 </AccordionGroup>
 
 ## Usage Examples

docs/en/enterprise/integrations/microsoft_sharepoint.mdx

@@ -78,6 +78,17 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_sharepoint/get_drives">
+    **Description:** List all document libraries (drives) in a SharePoint site. Use this to discover available libraries before using file operations.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `top` (integer, optional): Maximum number of drives to return per page (1-999). Default is 100
+    - `skip_token` (string, optional): Pagination token from a previous response to fetch the next page of results
+    - `select` (string, optional): Comma-separated list of properties to return (e.g., 'id,name,webUrl,driveType')
+
+  </Accordion>
+
   <Accordion title="microsoft_sharepoint/get_site_lists">
     **Description:** Get all lists in a SharePoint site.
 
@@ -159,20 +170,317 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
-  <Accordion title="microsoft_sharepoint/get_drive_items">
-    **Description:** Get files and folders from a SharePoint document library.
+  <Accordion title="microsoft_sharepoint/list_files">
+    **Description:** Retrieve files and folders from a SharePoint document library. By default lists the root folder, but you can navigate into subfolders by providing a folder_id.
 
     **Parameters:**
-    - `site_id` (string, required): The ID of the SharePoint site
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `folder_id` (string, optional): The ID of the folder to list contents from. Use 'root' for the root folder, or provide a folder ID from a previous list_files call. Default is 'root'
+    - `top` (integer, optional): Maximum number of items to return per page (1-1000). Default is 50
+    - `skip_token` (string, optional): Pagination token from a previous response to fetch the next page of results
+    - `orderby` (string, optional): Sort order for results (e.g., 'name asc', 'size desc', 'lastModifiedDateTime desc'). Default is 'name asc'
+    - `filter` (string, optional): OData filter to narrow results (e.g., 'file ne null' for files only, 'folder ne null' for folders only)
+    - `select` (string, optional): Comma-separated list of fields to return (e.g., 'id,name,size,folder,file,webUrl,lastModifiedDateTime')
 
   </Accordion>
 
-  <Accordion title="microsoft_sharepoint/delete_drive_item">
-    **Description:** Delete a file or folder from SharePoint document library.
+  <Accordion title="microsoft_sharepoint/delete_file">
+    **Description:** Delete a file or folder from a SharePoint document library. For folders, all contents are deleted recursively. Items are moved to the site recycle bin.
 
     **Parameters:**
-    - `site_id` (string, required): The ID of the SharePoint site
-    - `item_id` (string, required): The ID of the file or folder to delete
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the file or folder to delete. Obtain from list_files
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_files_by_path">
+    **Description:** List files and folders in a SharePoint document library folder by its path. More efficient than multiple list_files calls for deep navigation.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `folder_path` (string, required): The full path to the folder without leading/trailing slashes (e.g., 'Documents', 'Reports/2024/Q1')
+    - `top` (integer, optional): Maximum number of items to return per page (1-1000). Default is 50
+    - `skip_token` (string, optional): Pagination token from a previous response to fetch the next page of results
+    - `orderby` (string, optional): Sort order for results (e.g., 'name asc', 'size desc'). Default is 'name asc'
+    - `select` (string, optional): Comma-separated list of fields to return (e.g., 'id,name,size,folder,file,webUrl,lastModifiedDateTime')
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/download_file">
+    **Description:** Download raw file content from a SharePoint document library. Use only for plain text files (.txt, .csv, .json). For Excel files, use the Excel-specific actions. For Word files, use get_word_document_content.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the file to download. Obtain from list_files or list_files_by_path
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_file_info">
+    **Description:** Retrieve detailed metadata for a specific file or folder in a SharePoint document library, including name, size, created/modified dates, and author information.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the file or folder. Obtain from list_files or list_files_by_path
+    - `select` (string, optional): Comma-separated list of properties to return (e.g., 'id,name,size,createdDateTime,lastModifiedDateTime,webUrl,createdBy,lastModifiedBy')
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_folder">
+    **Description:** Create a new folder in a SharePoint document library. By default creates the folder in the root; use parent_id to create subfolders.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `folder_name` (string, required): Name for the new folder. Cannot contain: \ / : * ? " < > |
+    - `parent_id` (string, optional): The ID of the parent folder. Use 'root' for the document library root, or provide a folder ID from list_files. Default is 'root'
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/search_files">
+    **Description:** Search for files and folders in a SharePoint document library by keywords. Searches file names, folder names, and file contents for Office documents. Do not use wildcards or special characters.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `query` (string, required): Search keywords (e.g., 'report', 'budget 2024'). Wildcards like *.txt are not supported
+    - `top` (integer, optional): Maximum number of results to return per page (1-1000). Default is 50
+    - `skip_token` (string, optional): Pagination token from a previous response to fetch the next page of results
+    - `select` (string, optional): Comma-separated list of fields to return (e.g., 'id,name,size,folder,file,webUrl,lastModifiedDateTime')
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/copy_file">
+    **Description:** Copy a file or folder to a new location within SharePoint. The original item remains unchanged. The copy operation is asynchronous for large files.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the file or folder to copy. Obtain from list_files or search_files
+    - `destination_folder_id` (string, required): The ID of the destination folder. Use 'root' for the root folder, or a folder ID from list_files
+    - `new_name` (string, optional): New name for the copy. If not provided, the original name is used
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/move_file">
+    **Description:** Move a file or folder to a new location within SharePoint. The item is removed from its original location. For folders, all contents are moved as well.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the file or folder to move. Obtain from list_files or search_files
+    - `destination_folder_id` (string, required): The ID of the destination folder. Use 'root' for the root folder, or a folder ID from list_files
+    - `new_name` (string, optional): New name for the moved item. If not provided, the original name is kept
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_worksheets">
+    **Description:** List all worksheets (tabs) in an Excel workbook stored in a SharePoint document library. Use the returned worksheet name with other Excel actions.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `select` (string, optional): Comma-separated list of properties to return (e.g., 'id,name,position,visibility')
+    - `filter` (string, optional): OData filter expression (e.g., "visibility eq 'Visible'" to exclude hidden sheets)
+    - `top` (integer, optional): Maximum number of worksheets to return. Minimum: 1, Maximum: 999
+    - `orderby` (string, optional): Sort order (e.g., 'position asc' to return sheets in tab order)
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_excel_worksheet">
+    **Description:** Create a new worksheet (tab) in an Excel workbook stored in a SharePoint document library. The new sheet is added at the end of the tab list.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `name` (string, required): Name for the new worksheet. Maximum 31 characters. Cannot contain: \ / * ? : [ ]. Must be unique within the workbook
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_range_data">
+    **Description:** Retrieve cell values from a specific range in an Excel worksheet stored in SharePoint. For reading all data without knowing dimensions, use get_excel_used_range instead.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet (tab) to read from. Obtain from get_excel_worksheets. Case-sensitive
+    - `range` (string, required): Cell range in A1 notation (e.g., 'A1:C10', 'A:C', '1:5', 'A1')
+    - `select` (string, optional): Comma-separated list of properties to return (e.g., 'address,values,formulas,numberFormat,text')
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/update_excel_range_data">
+    **Description:** Write values to a specific range in an Excel worksheet stored in SharePoint. Overwrites existing cell contents. The values array dimensions must match the range dimensions exactly.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet (tab) to update. Obtain from get_excel_worksheets. Case-sensitive
+    - `range` (string, required): Cell range in A1 notation where values will be written (e.g., 'A1:C3' for a 3x3 block)
+    - `values` (array, required): 2D array of values (rows containing cells). Example for A1:B2: [["Header1", "Header2"], ["Value1", "Value2"]]. Use null to clear a cell
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_used_range_metadata">
+    **Description:** Return only the metadata (address and dimensions) of the used range in a worksheet, without the actual cell values. Ideal for large files to understand spreadsheet size before reading data in chunks.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet (tab) to read. Obtain from get_excel_worksheets. Case-sensitive
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_used_range">
+    **Description:** Retrieve all cells containing data in a worksheet stored in SharePoint. Do not use for files larger than 2MB. For large files, use get_excel_used_range_metadata first, then get_excel_range_data to read in smaller chunks.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet (tab) to read. Obtain from get_excel_worksheets. Case-sensitive
+    - `select` (string, optional): Comma-separated list of properties to return (e.g., 'address,values,formulas,numberFormat,text,rowCount,columnCount')
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_cell">
+    **Description:** Retrieve the value of a single cell by row and column index from an Excel file in SharePoint. Indices are 0-based (row 0 = Excel row 1, column 0 = column A).
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet (tab). Obtain from get_excel_worksheets. Case-sensitive
+    - `row` (integer, required): 0-based row index (row 0 = Excel row 1). Valid range: 0-1048575
+    - `column` (integer, required): 0-based column index (column 0 = A, column 1 = B). Valid range: 0-16383
+    - `select` (string, optional): Comma-separated list of properties to return (e.g., 'address,values,formulas,numberFormat,text')
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/add_excel_table">
+    **Description:** Convert a cell range into a formatted Excel table with filtering, sorting, and structured data capabilities. Tables enable add_excel_table_row for appending data.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet containing the data range. Obtain from get_excel_worksheets
+    - `range` (string, required): Cell range to convert into a table, including headers and data (e.g., 'A1:D10' where A1:D1 contains column headers)
+    - `has_headers` (boolean, optional): Set to true if the first row contains column headers. Default is true
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_tables">
+    **Description:** List all tables in a specific Excel worksheet stored in SharePoint. Returns table properties including id, name, showHeaders, and showTotals.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet to get tables from. Obtain from get_excel_worksheets
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/add_excel_table_row">
+    **Description:** Append a new row to the end of an Excel table in a SharePoint file. The values array must have the same number of elements as the table has columns.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet containing the table. Obtain from get_excel_worksheets
+    - `table_name` (string, required): Name of the table to add the row to (e.g., 'Table1'). Obtain from get_excel_tables. Case-sensitive
+    - `values` (array, required): Array of cell values for the new row, one per column in table order (e.g., ["John Doe", "john@example.com", 25])
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_table_data">
+    **Description:** Get all rows from an Excel table in a SharePoint file as a data range. Easier than get_excel_range_data when working with structured tables since you don't need to know the exact range.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet containing the table. Obtain from get_excel_worksheets
+    - `table_name` (string, required): Name of the table to get data from (e.g., 'Table1'). Obtain from get_excel_tables. Case-sensitive
+    - `select` (string, optional): Comma-separated list of properties to return (e.g., 'address,values,formulas,numberFormat,text')
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_excel_chart">
+    **Description:** Create a chart visualization in an Excel worksheet stored in SharePoint from a data range. The chart is embedded in the worksheet.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet where the chart will be created. Obtain from get_excel_worksheets
+    - `chart_type` (string, required): Chart type (e.g., 'ColumnClustered', 'ColumnStacked', 'Line', 'LineMarkers', 'Pie', 'Bar', 'BarClustered', 'Area', 'Scatter', 'Doughnut')
+    - `source_data` (string, required): Data range for the chart in A1 notation, including headers (e.g., 'A1:B10')
+    - `series_by` (string, optional): How data series are organized: 'Auto', 'Columns', or 'Rows'. Default is 'Auto'
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_excel_charts">
+    **Description:** List all charts embedded in an Excel worksheet stored in SharePoint. Returns chart properties including id, name, chartType, height, width, and position.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet to list charts from. Obtain from get_excel_worksheets
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/delete_excel_worksheet">
+    **Description:** Permanently remove a worksheet (tab) and all its contents from an Excel workbook stored in SharePoint. Cannot be undone. A workbook must have at least one worksheet.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet to delete. Case-sensitive. All data, tables, and charts on this sheet will be permanently removed
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/delete_excel_table">
+    **Description:** Remove a table from an Excel worksheet in SharePoint. This deletes the table structure (filtering, formatting, table features) but preserves the underlying cell data.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+    - `worksheet_name` (string, required): Name of the worksheet containing the table. Obtain from get_excel_worksheets
+    - `table_name` (string, required): Name of the table to delete (e.g., 'Table1'). Obtain from get_excel_tables. The data in the cells will remain after table deletion
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_excel_names">
+    **Description:** Retrieve all named ranges defined in an Excel workbook stored in SharePoint. Named ranges are user-defined labels for cell ranges (e.g., 'SalesData' for A1:D100).
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Excel file in SharePoint. Obtain from list_files or search_files
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_word_document_content">
+    **Description:** Download and extract text content from a Word document (.docx) stored in a SharePoint document library. This is the recommended way to read Word documents from SharePoint.
+
+    **Parameters:**
+    - `site_id` (string, required): The full SharePoint site identifier from get_sites
+    - `drive_id` (string, required): The ID of the document library. Call get_drives first to get valid drive IDs
+    - `item_id` (string, required): The unique identifier of the Word document (.docx) in SharePoint. Obtain from list_files or search_files
 
   </Accordion>
 </AccordionGroup>

docs/en/enterprise/integrations/microsoft_teams.mdx

@@ -108,6 +108,86 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `join_web_url` (string, required): The join web URL of the meeting to search for.
 
   </Accordion>
+
+  <Accordion title="microsoft_teams/search_online_meetings_by_meeting_id">
+    **Description:** Search online meetings by external Meeting ID.
+
+    **Parameters:**
+    - `join_meeting_id` (string, required): The meeting ID (numeric code) that attendees use to join. This is the joinMeetingId shown in meeting invitations, not the Graph API meeting id.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_meeting">
+    **Description:** Get details of a specific online meeting.
+
+    **Parameters:**
+    - `meeting_id` (string, required): The Graph API meeting ID (a long alphanumeric string). Obtain from create_meeting or search_online_meetings actions. Different from the numeric joinMeetingId.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_team_members">
+    **Description:** Get members of a specific team.
+
+    **Parameters:**
+    - `team_id` (string, required): The unique identifier of the team. Obtain from get_teams action.
+    - `top` (integer, optional): Maximum number of members to retrieve per page (1-999). Default is `100`.
+    - `skip_token` (string, optional): Pagination token from a previous response. When the response includes @odata.nextLink, extract the $skiptoken parameter value and pass it here to get the next page of results.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/create_channel">
+    **Description:** Create a new channel in a team.
+
+    **Parameters:**
+    - `team_id` (string, required): The unique identifier of the team. Obtain from get_teams action.
+    - `display_name` (string, required): Name of the channel as displayed in Teams. Must be unique within the team. Max 50 characters.
+    - `description` (string, optional): Optional description explaining the channel's purpose. Visible in channel details. Max 1024 characters.
+    - `membership_type` (string, optional): Channel visibility. Enum: `standard`, `private`. "standard" = visible to all team members, "private" = visible only to specifically added members. Default is `standard`.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_message_replies">
+    **Description:** Get replies to a specific message in a channel.
+
+    **Parameters:**
+    - `team_id` (string, required): The unique identifier of the team. Obtain from get_teams action.
+    - `channel_id` (string, required): The unique identifier of the channel. Obtain from get_channels action.
+    - `message_id` (string, required): The unique identifier of the parent message. Obtain from get_messages action.
+    - `top` (integer, optional): Maximum number of replies to retrieve per page (1-50). Default is `50`.
+    - `skip_token` (string, optional): Pagination token from a previous response. When the response includes @odata.nextLink, extract the $skiptoken parameter value and pass it here to get the next page of results.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/reply_to_message">
+    **Description:** Reply to a message in a Teams channel.
+
+    **Parameters:**
+    - `team_id` (string, required): The unique identifier of the team. Obtain from get_teams action.
+    - `channel_id` (string, required): The unique identifier of the channel. Obtain from get_channels action.
+    - `message_id` (string, required): The unique identifier of the message to reply to. Obtain from get_messages action.
+    - `message` (string, required): The reply content. For HTML, include formatting tags. For text, plain text only.
+    - `content_type` (string, optional): Content format. Enum: `html`, `text`. "text" for plain text, "html" for rich text with formatting. Default is `text`.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/update_meeting">
+    **Description:** Update an existing online meeting.
+
+    **Parameters:**
+    - `meeting_id` (string, required): The unique identifier of the meeting. Obtain from create_meeting or search_online_meetings actions.
+    - `subject` (string, optional): New meeting title.
+    - `startDateTime` (string, optional): New start time in ISO 8601 format with timezone. Example: "2024-01-20T10:00:00-08:00".
+    - `endDateTime` (string, optional): New end time in ISO 8601 format with timezone.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/delete_meeting">
+    **Description:** Delete an online meeting.
+
+    **Parameters:**
+    - `meeting_id` (string, required): The unique identifier of the meeting to delete. Obtain from create_meeting or search_online_meetings actions.
+
+  </Accordion>
 </AccordionGroup>
 
 ## Usage Examples

docs/en/enterprise/integrations/microsoft_word.mdx

@@ -98,6 +98,26 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `file_id` (string, required): The ID of the document to delete.
 
   </Accordion>
+
+  <Accordion title="microsoft_word/copy_document">
+    **Description:** Copy a document to a new location in OneDrive.
+
+    **Parameters:**
+    - `file_id` (string, required): The ID of the document to copy
+    - `name` (string, optional): New name for the copied document
+    - `parent_id` (string, optional): The ID of the destination folder (defaults to root)
+
+  </Accordion>
+
+  <Accordion title="microsoft_word/move_document">
+    **Description:** Move a document to a new location in OneDrive.
+
+    **Parameters:**
+    - `file_id` (string, required): The ID of the document to move
+    - `parent_id` (string, required): The ID of the destination folder
+    - `name` (string, optional): New name for the moved document
+
+  </Accordion>
 </AccordionGroup>
 
 ## Usage Examples

docs/en/guides/coding-tools/agents-md.mdx

@@ -0,0 +1,61 @@
+---
+title: Coding Tools
+description: Use AGENTS.md to guide coding agents and IDEs across your CrewAI projects.
+icon: terminal
+mode: "wide"
+---
+
+## Why AGENTS.md
+
+`AGENTS.md` is a lightweight, repo-local instruction file that gives coding agents consistent, project-specific guidance. Keep it in the project root and treat it as the source of truth for how you want assistants to work: conventions, commands, architecture notes, and guardrails.
+
+## Create a Project with the CLI
+
+Use the CrewAI CLI to scaffold a project, then `AGENTS.md` will be automatically added at the root.
+
+```bash
+# Crew
+crewai create crew my_crew
+
+# Flow
+crewai create flow my_flow
+
+# Tool repository
+crewai tool create my_tool
+```
+
+## Tool Setup: Point Assistants to AGENTS.md
+
+### Codex
+
+Codex can be guided by `AGENTS.md` files placed in your repository. Use them to supply persistent project context such as conventions, commands, and workflow expectations.
+
+### Claude Code
+
+Claude Code stores project memory in `CLAUDE.md`. You can bootstrap it with `/init` and edit it using `/memory`. Claude Code also supports imports inside `CLAUDE.md`, so you can add a single line like `@AGENTS.md` to pull in the shared instructions without duplicating them.
+
+You can simply use:
+
+```bash
+mv AGENTS.md CLAUDE.md
+```
+
+### Gemini CLI and Google Antigravity
+
+Gemini CLI and Antigravity load a project context file (default: `GEMINI.md`) from the repo root and parent directories. You can configure it to read `AGENTS.md` instead (or in addition) by setting `context.fileName` in your Gemini CLI settings. For example, set it to `AGENTS.md` only, or include both `AGENTS.md` and `GEMINI.md` if you want to keep each tool’s format.
+
+You can simply use:
+
+```bash
+mv AGENTS.md GEMINI.md
+```
+
+### Cursor
+
+Cursor supports `AGENTS.md` as a project instruction file. Place it at the project root to provide guidance for Cursor’s coding assistant.
+
+### Windsurf
+
+Claude Code provides an official integration with Windsurf. If you use Claude Code inside Windsurf, follow the Claude Code guidance above and import `AGENTS.md` from `CLAUDE.md`.
+
+If you are using Windsurf’s native assistant, configure its project rules or instructions feature (if available) to read from `AGENTS.md` or paste the contents directly.

docs/en/learn/human-feedback-in-flows.mdx

@@ -73,6 +73,8 @@ When this flow runs, it will:
 | `default_outcome` | `str` | No | Outcome to use if no feedback provided. Must be in `emit` |
 | `metadata` | `dict` | No | Additional data for enterprise integrations |
 | `provider` | `HumanFeedbackProvider` | No | Custom provider for async/non-blocking feedback. See [Async Human Feedback](#async-human-feedback-non-blocking) |
+| `learn` | `bool` | No | Enable HITL learning: distill lessons from feedback and pre-review future output. Default `False`. See [Learning from Feedback](#learning-from-feedback) |
+| `learn_limit` | `int` | No | Max past lessons to recall for pre-review. Default `5` |
 
 ### Basic Usage (No Routing)
 
@@ -96,33 +98,43 @@ def handle_feedback(self, result):
 When you specify `emit`, the decorator becomes a router. The human's free-form feedback is interpreted by an LLM and collapsed into one of the specified outcomes:
 
 ```python Code
-@start()
-@human_feedback(
-    message="Do you approve this content for publication?",
-    emit=["approved", "rejected", "needs_revision"],
-    llm="gpt-4o-mini",
-    default_outcome="needs_revision",
-)
-def review_content(self):
-    return "Draft blog post content here..."
+from crewai.flow.flow import Flow, start, listen, or_
+from crewai.flow.human_feedback import human_feedback
 
-@listen("approved")
-def publish(self, result):
-    print(f"Publishing! User said: {result.feedback}")
+class ReviewFlow(Flow):
+    @start()
+    def generate_content(self):
+        return "Draft blog post content here..."
 
-@listen("rejected")
-def discard(self, result):
-    print(f"Discarding. Reason: {result.feedback}")
+    @human_feedback(
+        message="Do you approve this content for publication?",
+        emit=["approved", "rejected", "needs_revision"],
+        llm="gpt-4o-mini",
+        default_outcome="needs_revision",
+    )
+    @listen(or_("generate_content", "needs_revision"))
+    def review_content(self):
+        return "Draft blog post content here..."
 
-@listen("needs_revision")
-def revise(self, result):
-    print(f"Revising based on: {result.feedback}")
+    @listen("approved")
+    def publish(self, result):
+        print(f"Publishing! User said: {result.feedback}")
+
+    @listen("rejected")
+    def discard(self, result):
+        print(f"Discarding. Reason: {result.feedback}")
 ```
 
+When the human says something like "needs more detail", the LLM collapses that to `"needs_revision"`, which triggers `review_content` again via `or_()` — creating a revision loop. The loop continues until the outcome is `"approved"` or `"rejected"`.
+
 <Tip>
 The LLM uses structured outputs (function calling) when available to guarantee the response is one of your specified outcomes. This makes routing reliable and predictable.
 </Tip>
 
+<Warning>
+A `@start()` method only runs once at the beginning of the flow. If you need a revision loop, separate the start method from the review method and use `@listen(or_("trigger", "revision_outcome"))` on the review method to enable the self-loop.
+</Warning>
+
 ## HumanFeedbackResult
 
 The `HumanFeedbackResult` dataclass contains all information about a human feedback interaction:
@@ -186,127 +198,183 @@ Each `HumanFeedbackResult` is appended to `human_feedback_history`, so multiple
 
 ## Complete Example: Content Approval Workflow
 
-Here's a full example implementing a content review and approval workflow:
+Here's a full example implementing a content review and approval workflow with a revision loop:
 
 <CodeGroup>
 
 ```python Code
-from crewai.flow.flow import Flow, start, listen
+from crewai.flow.flow import Flow, start, listen, or_
 from crewai.flow.human_feedback import human_feedback, HumanFeedbackResult
 from pydantic import BaseModel
 
 
 class ContentState(BaseModel):
-    topic: str = ""
     draft: str = ""
-    final_content: str = ""
     revision_count: int = 0
+    status: str = "pending"
 
 
 class ContentApprovalFlow(Flow[ContentState]):
-    """A flow that generates content and gets human approval."""
+    """A flow that generates content and loops until the human approves."""
 
     @start()
-    def get_topic(self):
-        self.state.topic = input("What topic should I write about? ")
-        return self.state.topic
-
-    @listen(get_topic)
-    def generate_draft(self, topic):
-        # In real use, this would call an LLM
-        self.state.draft = f"# {topic}\n\nThis is a draft about {topic}..."
+    def generate_draft(self):
+        self.state.draft = "# AI Safety\n\nThis is a draft about AI Safety..."
         return self.state.draft
 
-    @listen(generate_draft)
     @human_feedback(
-        message="Please review this draft. Reply 'approved', 'rejected', or provide revision feedback:",
+        message="Please review this draft. Approve, reject, or describe what needs changing:",
         emit=["approved", "rejected", "needs_revision"],
         llm="gpt-4o-mini",
         default_outcome="needs_revision",
     )
-    def review_draft(self, draft):
-        return draft
+    @listen(or_("generate_draft", "needs_revision"))
+    def review_draft(self):
+        self.state.revision_count += 1
+        return f"{self.state.draft} (v{self.state.revision_count})"
 
     @listen("approved")
     def publish_content(self, result: HumanFeedbackResult):
-        self.state.final_content = result.output
-        print("\n✅ Content approved and published!")
-        print(f"Reviewer comment: {result.feedback}")
+        self.state.status = "published"
+        print(f"Content approved and published! Reviewer said: {result.feedback}")
         return "published"
 
     @listen("rejected")
     def handle_rejection(self, result: HumanFeedbackResult):
-        print("\n❌ Content rejected")
-        print(f"Reason: {result.feedback}")
+        self.state.status = "rejected"
+        print(f"Content rejected. Reason: {result.feedback}")
         return "rejected"
 
-    @listen("needs_revision")
-    def revise_content(self, result: HumanFeedbackResult):
-        self.state.revision_count += 1
-        print(f"\n📝 Revision #{self.state.revision_count} requested")
-        print(f"Feedback: {result.feedback}")
 
-        # In a real flow, you might loop back to generate_draft
-        # For this example, we just acknowledge
-        return "revision_requested"
-
-
-# Run the flow
 flow = ContentApprovalFlow()
 result = flow.kickoff()
-print(f"\nFlow completed. Revisions requested: {flow.state.revision_count}")
+print(f"\nFlow completed. Status: {flow.state.status}, Reviews: {flow.state.revision_count}")
 ```
 
 ```text Output
-What topic should I write about? AI Safety
+==================================================
+OUTPUT FOR REVIEW:
+==================================================
+# AI Safety
+
+This is a draft about AI Safety... (v1)
+==================================================
+
+Please review this draft. Approve, reject, or describe what needs changing:
+(Press Enter to skip, or type your feedback)
+
+Your feedback: Needs more detail on alignment research
 
 ==================================================
 OUTPUT FOR REVIEW:
 ==================================================
 # AI Safety
 
-This is a draft about AI Safety...
+This is a draft about AI Safety... (v2)
 ==================================================
 
-Please review this draft. Reply 'approved', 'rejected', or provide revision feedback:
+Please review this draft. Approve, reject, or describe what needs changing:
 (Press Enter to skip, or type your feedback)
 
 Your feedback: Looks good, approved!
 
-✅ Content approved and published!
-Reviewer comment: Looks good, approved!
+Content approved and published! Reviewer said: Looks good, approved!
 
-Flow completed. Revisions requested: 0
+Flow completed. Status: published, Reviews: 2
 ```
 
 </CodeGroup>
 
+The key pattern is `@listen(or_("generate_draft", "needs_revision"))` — the review method listens to both the initial trigger and its own revision outcome, creating a self-loop that repeats until the human approves or rejects.
+
 ## Combining with Other Decorators
 
-The `@human_feedback` decorator works with other flow decorators. Place it as the innermost decorator (closest to the function):
+The `@human_feedback` decorator works with `@start()`, `@listen()`, and `or_()`. Both decorator orderings work — the framework propagates attributes in both directions — but the recommended patterns are:
 
 ```python Code
-# Correct: @human_feedback is innermost (closest to the function)
+# One-shot review at the start of a flow (no self-loop)
 @start()
-@human_feedback(message="Review this:")
+@human_feedback(message="Review this:", emit=["approved", "rejected"], llm="gpt-4o-mini")
 def my_start_method(self):
     return "content"
 
+# Linear review on a listener (no self-loop)
 @listen(other_method)
-@human_feedback(message="Review this too:")
+@human_feedback(message="Review this too:", emit=["good", "bad"], llm="gpt-4o-mini")
 def my_listener(self, data):
     return f"processed: {data}"
+
+# Self-loop: review that can loop back for revisions
+@human_feedback(message="Approve or revise?", emit=["approved", "revise"], llm="gpt-4o-mini")
+@listen(or_("upstream_method", "revise"))
+def review_with_loop(self):
+    return "content for review"
 ```
 
-<Tip>
-Place `@human_feedback` as the innermost decorator (last/closest to the function) so it wraps the method directly and can capture the return value before passing to the flow system.
-</Tip>
+### Self-loop pattern
+
+To create a revision loop, the review method must listen to **both** an upstream trigger and its own revision outcome using `or_()`:
+
+```python Code
+@start()
+def generate(self):
+    return "initial draft"
+
+@human_feedback(
+    message="Approve or request changes?",
+    emit=["revise", "approved"],
+    llm="gpt-4o-mini",
+    default_outcome="approved",
+)
+@listen(or_("generate", "revise"))
+def review(self):
+    return "content"
+
+@listen("approved")
+def publish(self):
+    return "published"
+```
+
+When the outcome is `"revise"`, the flow routes back to `review` (because it listens to `"revise"` via `or_()`). When the outcome is `"approved"`, the flow continues to `publish`. This works because the flow engine exempts routers from the "fire once" rule, allowing them to re-execute on each loop iteration.
+
+### Chained routers
+
+A listener triggered by one router's outcome can itself be a router:
+
+```python Code
+@start()
+def generate(self):
+    return "draft content"
+
+@human_feedback(message="First review:", emit=["approved", "rejected"], llm="gpt-4o-mini")
+@listen("generate")
+def first_review(self):
+    return "draft content"
+
+@human_feedback(message="Final review:", emit=["publish", "hold"], llm="gpt-4o-mini")
+@listen("approved")
+def final_review(self, prev):
+    return "final content"
+
+@listen("publish")
+def on_publish(self, prev):
+    return "published"
+
+@listen("hold")
+def on_hold(self, prev):
+    return "held for later"
+```
+
+### Limitations
+
+- **`@start()` methods run once**: A `@start()` method cannot self-loop. If you need a revision cycle, use a separate `@start()` method as the entry point and put the `@human_feedback` on a `@listen()` method.
+- **No `@start()` + `@listen()` on the same method**: This is a Flow framework constraint. A method is either a start point or a listener, not both.
 
 ## Best Practices
 
 ### 1. Write Clear Request Messages
 
-The `request` parameter is what the human sees. Make it actionable:
+The `message` parameter is what the human sees. Make it actionable:
 
 ```python Code
 # ✅ Good - clear and actionable
@@ -514,9 +582,9 @@ class ContentPipeline(Flow):
     @start()
     @human_feedback(
         message="Approve this content for publication?",
-        emit=["approved", "rejected", "needs_revision"],
+        emit=["approved", "rejected"],
         llm="gpt-4o-mini",
-        default_outcome="needs_revision",
+        default_outcome="rejected",
         provider=SlackNotificationProvider("#content-reviews"),
     )
     def generate_content(self):
@@ -532,11 +600,6 @@ class ContentPipeline(Flow):
         print(f"Archived. Reason: {result.feedback}")
         return {"status": "archived"}
 
-    @listen("needs_revision")
-    def queue_revision(self, result):
-        print(f"Queued for revision: {result.feedback}")
-        return {"status": "revision_needed"}
-
 
 # Starting the flow (will pause and wait for Slack response)
 def start_content_pipeline():
@@ -576,6 +639,64 @@ If you're using an async web framework (FastAPI, aiohttp, Slack Bolt async mode)
 5. **Automatic persistence**: State is automatically saved when `HumanFeedbackPending` is raised and uses `SQLiteFlowPersistence` by default
 6. **Custom persistence**: Pass a custom persistence instance to `from_pending()` if needed
 
+## Learning from Feedback
+
+The `learn=True` parameter enables a feedback loop between human reviewers and the memory system. When enabled, the system progressively improves its outputs by learning from past human corrections.
+
+### How It Works
+
+1. **After feedback**: The LLM extracts generalizable lessons from the output + feedback and stores them in memory with `source="hitl"`. If the feedback is just approval (e.g. "looks good"), nothing is stored.
+2. **Before next review**: Past HITL lessons are recalled from memory and applied by the LLM to improve the output before the human sees it.
+
+Over time, the human sees progressively better pre-reviewed output because each correction informs future reviews.
+
+### Example
+
+```python Code
+class ArticleReviewFlow(Flow):
+    @start()
+    def generate_article(self):
+        return self.crew.kickoff(inputs={"topic": "AI Safety"}).raw
+
+    @human_feedback(
+        message="Review this article draft:",
+        emit=["approved", "needs_revision"],
+        llm="gpt-4o-mini",
+        learn=True,  # enable HITL learning
+    )
+    @listen(or_("generate_article", "needs_revision"))
+    def review_article(self):
+        return self.last_human_feedback.output if self.last_human_feedback else "article draft"
+
+    @listen("approved")
+    def publish(self):
+        print(f"Publishing: {self.last_human_feedback.output}")
+```
+
+**First run**: The human sees the raw output and says "Always include citations for factual claims." The lesson is distilled and stored in memory.
+
+**Second run**: The system recalls the citation lesson, pre-reviews the output to add citations, then shows the improved version. The human's job shifts from "fix everything" to "catch what the system missed."
+
+### Configuration
+
+| Parameter | Default | Description |
+|-----------|---------|-------------|
+| `learn` | `False` | Enable HITL learning |
+| `learn_limit` | `5` | Max past lessons to recall for pre-review |
+
+### Key Design Decisions
+
+- **Same LLM for everything**: The `llm` parameter on the decorator is shared by outcome collapsing, lesson distillation, and pre-review. No need to configure multiple models.
+- **Structured output**: Both distillation and pre-review use function calling with Pydantic models when the LLM supports it, falling back to text parsing otherwise.
+- **Non-blocking storage**: Lessons are stored via `remember_many()` which runs in a background thread -- the flow continues immediately.
+- **Graceful degradation**: If the LLM fails during distillation, nothing is stored. If it fails during pre-review, the raw output is shown. Neither failure blocks the flow.
+- **No scope/categories needed**: When storing lessons, only `source` is passed. The encoding pipeline infers scope, categories, and importance automatically.
+
+<Note>
+`learn=True` requires the Flow to have memory available. Flows get memory automatically by default, but if you've disabled it with `_skip_auto_memory`, HITL learning will be silently skipped.
+</Note>
+
+
 ## Related Documentation
 
 - [Flows Overview](/en/concepts/flows) - Learn about CrewAI Flows
@@ -583,3 +704,4 @@ If you're using an async web framework (FastAPI, aiohttp, Slack Bolt async mode)
 - [Flow Persistence](/en/concepts/flows#persistence) - Persisting flow state
 - [Routing with @router](/en/concepts/flows#router) - More about conditional routing
 - [Human Input on Execution](/en/learn/human-input-on-execution) - Task-level human input
+- [Memory](/en/concepts/memory) - The unified memory system used by HITL learning

docs/en/tools/database-data/nl2sqltool.mdx

@@ -15,6 +15,29 @@ Along with that provides the ability for the Agent to update the database based
 
 **Attention**: Make sure that the Agent has access to a Read-Replica or that is okay for the Agent to run insert/update queries on the database.
 
+## Security Model
+
+`NL2SQLTool` is an execution-capable tool. It runs model-generated SQL directly against the configured database connection.
+
+This means risk depends on your deployment choices:
+
+- Which credentials you provide in `db_uri`
+- Whether untrusted input can influence prompts
+- Whether you add tool-call guardrails before execution
+
+If you route untrusted input to agents using this tool, treat it as a high-risk integration.
+
+## Hardening Recommendations
+
+Use all of the following in production:
+
+- Use a read-only database user whenever possible
+- Prefer a read replica for analytics/retrieval workloads
+- Grant least privilege (no superuser/admin roles, no file/system-level capabilities)
+- Apply database-side resource limits (statement timeout, lock timeout, cost/row limits)
+- Add `before_tool_call` hooks to enforce allowed query patterns
+- Enable query logging and alerting for destructive statements
+
 ## Requirements
 
 - SqlAlchemy

docs/ko/enterprise/features/flow-hitl-management.mdx

@@ -38,22 +38,21 @@ CrewAI Enterprise는 AI 워크플로우를 협업적인 인간-AI 프로세스
 `@human_feedback` 데코레이터를 사용하여 Flow 내에 인간 검토 체크포인트를 구성합니다. 실행이 검토 포인트에 도달하면 시스템이 일시 중지되고, 담당자에게 이메일로 알리며, 응답을 기다립니다.
 
 ```python
-from crewai.flow.flow import Flow, start, listen
+from crewai.flow.flow import Flow, start, listen, or_
 from crewai.flow.human_feedback import human_feedback, HumanFeedbackResult
 
 class ContentApprovalFlow(Flow):
     @start()
     def generate_content(self):
-        # AI가 콘텐츠 생성
         return "Q1 캠페인용 마케팅 카피 생성..."
 
-    @listen(generate_content)
     @human_feedback(
         message="브랜드 준수를 위해 이 콘텐츠를 검토해 주세요:",
         emit=["approved", "rejected", "needs_revision"],
     )
-    def review_content(self, content):
-        return content
+    @listen(or_("generate_content", "needs_revision"))
+    def review_content(self):
+        return "검토용 마케팅 카피..."
 
     @listen("approved")
     def publish_content(self, result: HumanFeedbackResult):
@@ -62,10 +61,6 @@ class ContentApprovalFlow(Flow):
     @listen("rejected")
     def archive_content(self, result: HumanFeedbackResult):
         print(f"콘텐츠 거부됨. 사유: {result.feedback}")
-
-    @listen("needs_revision")
-    def revise_content(self, result: HumanFeedbackResult):
-        print(f"수정 요청: {result.feedback}")
 ```
 
 완전한 구현 세부 사항은 [Flow에서 인간 피드백](/ko/learn/human-feedback-in-flows) 가이드를 참조하세요.

docs/ko/enterprise/integrations/google_contacts.mdx

@@ -200,6 +200,25 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `clientData` (array, 선택사항): 클라이언트별 데이터. 각 항목은 `key` (string)와 `value` (string)가 있는 객체.
 
   </Accordion>
+
+  <Accordion title="google_contacts/update_contact_group">
+    **설명:** 연락처 그룹의 정보를 업데이트합니다.
+
+    **매개변수:**
+    - `resourceName` (string, 필수): 연락처 그룹의 리소스 이름 (예: 'contactGroups/myContactGroup').
+    - `name` (string, 필수): 연락처 그룹의 이름.
+    - `clientData` (array, 선택사항): 클라이언트별 데이터. 각 항목은 `key` (string)와 `value` (string)가 있는 객체.
+
+  </Accordion>
+
+  <Accordion title="google_contacts/delete_contact_group">
+    **설명:** 연락처 그룹을 삭제합니다.
+
+    **매개변수:**
+    - `resourceName` (string, 필수): 삭제할 연락처 그룹의 리소스 이름 (예: 'contactGroups/myContactGroup').
+    - `deleteContacts` (boolean, 선택사항): 그룹 내 연락처도 삭제할지 여부. 기본값: false
+
+  </Accordion>
 </AccordionGroup>
 
 ## 사용 예제

docs/ko/enterprise/integrations/google_docs.mdx

@@ -131,6 +131,297 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `endIndex` (integer, 필수): 범위의 끝 인덱스.
 
   </Accordion>
+
+  <Accordion title="google_docs/create_document_with_content">
+    **설명:** 내용이 포함된 새 Google 문서를 한 번에 만듭니다.
+
+    **매개변수:**
+    - `title` (string, 필수): 새 문서의 제목. 문서 상단과 Google Drive에 표시됩니다.
+    - `content` (string, 선택사항): 문서에 삽입할 텍스트 내용. 새 단락에는 `\n`을 사용하세요.
+
+  </Accordion>
+
+  <Accordion title="google_docs/append_text">
+    **설명:** Google 문서의 끝에 텍스트를 추가합니다. 인덱스를 지정할 필요 없이 자동으로 문서 끝에 삽입됩니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): create_document 응답 또는 URL에서 가져온 문서 ID.
+    - `text` (string, 필수): 문서 끝에 추가할 텍스트. 새 단락에는 `\n`을 사용하세요.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_bold">
+    **설명:** Google 문서에서 텍스트를 굵게 만들거나 굵게 서식을 제거합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 서식을 지정할 텍스트의 시작 위치.
+    - `endIndex` (integer, 필수): 서식을 지정할 텍스트의 끝 위치 (배타적).
+    - `bold` (boolean, 필수): 굵게 만들려면 `true`, 굵게를 제거하려면 `false`로 설정.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_italic">
+    **설명:** Google 문서에서 텍스트를 기울임꼴로 만들거나 기울임꼴 서식을 제거합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 서식을 지정할 텍스트의 시작 위치.
+    - `endIndex` (integer, 필수): 서식을 지정할 텍스트의 끝 위치 (배타적).
+    - `italic` (boolean, 필수): 기울임꼴로 만들려면 `true`, 기울임꼴을 제거하려면 `false`로 설정.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_underline">
+    **설명:** Google 문서에서 텍스트에 밑줄 서식을 추가하거나 제거합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 서식을 지정할 텍스트의 시작 위치.
+    - `endIndex` (integer, 필수): 서식을 지정할 텍스트의 끝 위치 (배타적).
+    - `underline` (boolean, 필수): 밑줄을 추가하려면 `true`, 밑줄을 제거하려면 `false`로 설정.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_strikethrough">
+    **설명:** Google 문서에서 텍스트에 취소선 서식을 추가하거나 제거합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 서식을 지정할 텍스트의 시작 위치.
+    - `endIndex` (integer, 필수): 서식을 지정할 텍스트의 끝 위치 (배타적).
+    - `strikethrough` (boolean, 필수): 취소선을 추가하려면 `true`, 제거하려면 `false`로 설정.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_font_size">
+    **설명:** Google 문서에서 텍스트의 글꼴 크기를 변경합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 서식을 지정할 텍스트의 시작 위치.
+    - `endIndex` (integer, 필수): 서식을 지정할 텍스트의 끝 위치 (배타적).
+    - `fontSize` (number, 필수): 포인트 단위의 글꼴 크기. 일반적인 크기: 10, 11, 12, 14, 16, 18, 24, 36.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_color">
+    **설명:** Google 문서에서 RGB 값(0-1 스케일)을 사용하여 텍스트 색상을 변경합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 서식을 지정할 텍스트의 시작 위치.
+    - `endIndex` (integer, 필수): 서식을 지정할 텍스트의 끝 위치 (배타적).
+    - `red` (number, 필수): 빨강 구성 요소 (0-1). 예: `1`은 완전한 빨강.
+    - `green` (number, 필수): 초록 구성 요소 (0-1). 예: `0.5`는 절반 초록.
+    - `blue` (number, 필수): 파랑 구성 요소 (0-1). 예: `0`은 파랑 없음.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_hyperlink">
+    **설명:** Google 문서에서 기존 텍스트를 클릭 가능한 하이퍼링크로 변환합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 링크로 만들 텍스트의 시작 위치.
+    - `endIndex` (integer, 필수): 링크로 만들 텍스트의 끝 위치 (배타적).
+    - `url` (string, 필수): 링크가 가리킬 URL. 예: `"https://example.com"`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/apply_heading_style">
+    **설명:** Google 문서에서 텍스트 범위에 제목 또는 단락 스타일을 적용합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 스타일을 적용할 단락의 시작 위치.
+    - `endIndex` (integer, 필수): 스타일을 적용할 단락의 끝 위치.
+    - `style` (string, 필수): 적용할 스타일. 옵션: `NORMAL_TEXT`, `TITLE`, `SUBTITLE`, `HEADING_1`, `HEADING_2`, `HEADING_3`, `HEADING_4`, `HEADING_5`, `HEADING_6`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_paragraph_alignment">
+    **설명:** Google 문서에서 단락의 텍스트 정렬을 설정합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 정렬할 단락의 시작 위치.
+    - `endIndex` (integer, 필수): 정렬할 단락의 끝 위치.
+    - `alignment` (string, 필수): 텍스트 정렬. 옵션: `START` (왼쪽), `CENTER`, `END` (오른쪽), `JUSTIFIED`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_line_spacing">
+    **설명:** Google 문서에서 단락의 줄 간격을 설정합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 단락의 시작 위치.
+    - `endIndex` (integer, 필수): 단락의 끝 위치.
+    - `lineSpacing` (number, 필수): 백분율로 나타낸 줄 간격. `100` = 단일, `115` = 1.15배, `150` = 1.5배, `200` = 이중.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_paragraph_bullets">
+    **설명:** Google 문서에서 단락을 글머리 기호 또는 번호 매기기 목록으로 변환합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 목록으로 변환할 단락의 시작 위치.
+    - `endIndex` (integer, 필수): 목록으로 변환할 단락의 끝 위치.
+    - `bulletPreset` (string, 필수): 글머리 기호/번호 매기기 스타일. 옵션: `BULLET_DISC_CIRCLE_SQUARE`, `BULLET_DIAMONDX_ARROW3D_SQUARE`, `BULLET_CHECKBOX`, `BULLET_ARROW_DIAMOND_DISC`, `BULLET_STAR_CIRCLE_SQUARE`, `NUMBERED_DECIMAL_ALPHA_ROMAN`, `NUMBERED_DECIMAL_ALPHA_ROMAN_PARENS`, `NUMBERED_DECIMAL_NESTED`, `NUMBERED_UPPERALPHA_ALPHA_ROMAN`, `NUMBERED_UPPERROMAN_UPPERALPHA_DECIMAL`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_paragraph_bullets">
+    **설명:** Google 문서에서 단락의 글머리 기호 또는 번호 매기기를 제거합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `startIndex` (integer, 필수): 목록 단락의 시작 위치.
+    - `endIndex` (integer, 필수): 목록 단락의 끝 위치.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_with_content">
+    **설명:** Google 문서에 내용이 포함된 표를 한 번에 삽입합니다. 내용은 2D 배열로 제공하세요.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `rows` (integer, 필수): 표의 행 수.
+    - `columns` (integer, 필수): 표의 열 수.
+    - `index` (integer, 선택사항): 표를 삽입할 위치. 제공하지 않으면 문서 끝에 삽입됩니다.
+    - `content` (array, 필수): 2D 배열로 된 표 내용. 각 내부 배열은 행입니다. 예: `[["Year", "Revenue"], ["2023", "$43B"], ["2024", "$45B"]]`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_row">
+    **설명:** 기존 표의 참조 셀 위 또는 아래에 새 행을 삽입합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `tableStartIndex` (integer, 필수): 표의 시작 인덱스. get_document에서 가져오세요.
+    - `rowIndex` (integer, 필수): 참조 셀의 행 인덱스 (0 기반).
+    - `columnIndex` (integer, 선택사항): 참조 셀의 열 인덱스 (0 기반). 기본값: `0`.
+    - `insertBelow` (boolean, 선택사항): `true`이면 참조 행 아래에, `false`이면 위에 삽입. 기본값: `true`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_column">
+    **설명:** 기존 표의 참조 셀 왼쪽 또는 오른쪽에 새 열을 삽입합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `tableStartIndex` (integer, 필수): 표의 시작 인덱스.
+    - `rowIndex` (integer, 선택사항): 참조 셀의 행 인덱스 (0 기반). 기본값: `0`.
+    - `columnIndex` (integer, 필수): 참조 셀의 열 인덱스 (0 기반).
+    - `insertRight` (boolean, 선택사항): `true`이면 오른쪽에, `false`이면 왼쪽에 삽입. 기본값: `true`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_table_row">
+    **설명:** Google 문서의 기존 표에서 행을 삭제합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `tableStartIndex` (integer, 필수): 표의 시작 인덱스.
+    - `rowIndex` (integer, 필수): 삭제할 행 인덱스 (0 기반).
+    - `columnIndex` (integer, 선택사항): 행의 아무 셀의 열 인덱스 (0 기반). 기본값: `0`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_table_column">
+    **설명:** Google 문서의 기존 표에서 열을 삭제합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `tableStartIndex` (integer, 필수): 표의 시작 인덱스.
+    - `rowIndex` (integer, 선택사항): 열의 아무 셀의 행 인덱스 (0 기반). 기본값: `0`.
+    - `columnIndex` (integer, 필수): 삭제할 열 인덱스 (0 기반).
+
+  </Accordion>
+
+  <Accordion title="google_docs/merge_table_cells">
+    **설명:** 표 셀 범위를 단일 셀로 병합합니다. 모든 셀의 내용이 보존됩니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `tableStartIndex` (integer, 필수): 표의 시작 인덱스.
+    - `rowIndex` (integer, 필수): 병합의 시작 행 인덱스 (0 기반).
+    - `columnIndex` (integer, 필수): 병합의 시작 열 인덱스 (0 기반).
+    - `rowSpan` (integer, 필수): 병합할 행 수.
+    - `columnSpan` (integer, 필수): 병합할 열 수.
+
+  </Accordion>
+
+  <Accordion title="google_docs/unmerge_table_cells">
+    **설명:** 이전에 병합된 표 셀을 개별 셀로 분리합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `tableStartIndex` (integer, 필수): 표의 시작 인덱스.
+    - `rowIndex` (integer, 필수): 병합된 셀의 행 인덱스 (0 기반).
+    - `columnIndex` (integer, 필수): 병합된 셀의 열 인덱스 (0 기반).
+    - `rowSpan` (integer, 필수): 병합된 셀이 차지하는 행 수.
+    - `columnSpan` (integer, 필수): 병합된 셀이 차지하는 열 수.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_inline_image">
+    **설명:** 공개 URL에서 Google 문서에 이미지를 삽입합니다. 이미지는 공개적으로 접근 가능해야 하고, 50MB 미만이며, PNG/JPEG/GIF 형식이어야 합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `uri` (string, 필수): 이미지의 공개 URL. 인증 없이 접근 가능해야 합니다.
+    - `index` (integer, 선택사항): 이미지를 삽입할 위치. 제공하지 않으면 문서 끝에 삽입됩니다. 기본값: `1`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_section_break">
+    **설명:** 서로 다른 서식을 가진 문서 섹션을 만들기 위해 섹션 나누기를 삽입합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `index` (integer, 필수): 섹션 나누기를 삽입할 위치.
+    - `sectionType` (string, 필수): 섹션 나누기의 유형. 옵션: `CONTINUOUS` (같은 페이지에 유지), `NEXT_PAGE` (새 페이지 시작).
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_header">
+    **설명:** 문서의 머리글을 만듭니다. insert_text를 사용하여 머리글 내용을 추가할 수 있는 headerId를 반환합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `type` (string, 선택사항): 머리글 유형. 옵션: `DEFAULT`. 기본값: `DEFAULT`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_footer">
+    **설명:** 문서의 바닥글을 만듭니다. insert_text를 사용하여 바닥글 내용을 추가할 수 있는 footerId를 반환합니다.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `type` (string, 선택사항): 바닥글 유형. 옵션: `DEFAULT`. 기본값: `DEFAULT`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_header">
+    **설명:** 문서에서 머리글을 삭제합니다. headerId를 찾으려면 get_document를 사용하세요.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `headerId` (string, 필수): 삭제할 머리글 ID. get_document 응답에서 가져오세요.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_footer">
+    **설명:** 문서에서 바닥글을 삭제합니다. footerId를 찾으려면 get_document를 사용하세요.
+
+    **매개변수:**
+    - `documentId` (string, 필수): 문서 ID.
+    - `footerId` (string, 필수): 삭제할 바닥글 ID. get_document 응답에서 가져오세요.
+
+  </Accordion>
 </AccordionGroup>
 
 ## 사용 예제

docs/ko/enterprise/integrations/google_slides.mdx

@@ -61,6 +61,22 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/get_presentation_metadata">
+    **설명:** 프레젠테이션에 대한 가벼운 메타데이터(제목, 슬라이드 수, 슬라이드 ID)를 가져옵니다. 전체 콘텐츠를 가져오기 전에 먼저 사용하세요.
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 검색할 프레젠테이션의 ID.
+
+  </Accordion>
+
+  <Accordion title="google_slides/get_presentation_text">
+    **설명:** 프레젠테이션에서 모든 텍스트 콘텐츠를 추출합니다. 슬라이드 ID와 도형 및 테이블의 텍스트만 반환합니다 (포맷팅 없음).
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+
+  </Accordion>
+
   <Accordion title="google_slides/get_presentation">
     **설명:** ID로 프레젠테이션을 검색합니다.
 
@@ -80,6 +96,15 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/get_slide_text">
+    **설명:** 단일 슬라이드에서 텍스트 콘텐츠를 추출합니다. 도형 및 테이블의 텍스트만 반환합니다 (포맷팅 또는 스타일 없음).
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `pageObjectId` (string, 필수): 텍스트를 가져올 슬라이드/페이지의 ID.
+
+  </Accordion>
+
   <Accordion title="google_slides/get_page">
     **설명:** ID로 특정 페이지를 검색합니다.
 
@@ -98,6 +123,120 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/create_slide">
+    **설명:** 프레젠테이션에 추가 빈 슬라이드를 추가합니다. 새 프레젠테이션에는 이미 빈 슬라이드가 하나 있습니다. 먼저 get_presentation_metadata를 확인하세요. 제목/본문 영역이 있는 슬라이드는 create_slide_with_layout을 사용하세요.
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `insertionIndex` (integer, 선택사항): 슬라이드를 삽입할 위치 (0 기반). 생략하면 맨 끝에 추가됩니다.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_slide_with_layout">
+    **설명:** 제목, 본문 등의 플레이스홀더 영역이 있는 미리 정의된 레이아웃으로 슬라이드를 만듭니다. 구조화된 콘텐츠에는 create_slide보다 적합합니다. 생성 후 get_page로 플레이스홀더 ID를 찾고, 그 안에 텍스트를 삽입하세요.
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `layout` (string, 필수): 레이아웃 유형. 옵션: `BLANK`, `TITLE`, `TITLE_AND_BODY`, `TITLE_AND_TWO_COLUMNS`, `TITLE_ONLY`, `SECTION_HEADER`, `ONE_COLUMN_TEXT`, `MAIN_POINT`, `BIG_NUMBER`. 제목+설명은 TITLE_AND_BODY, 제목만은 TITLE, 섹션 구분은 SECTION_HEADER가 적합합니다.
+    - `insertionIndex` (integer, 선택사항): 삽입할 위치 (0 기반). 생략하면 맨 끝에 추가됩니다.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_text_box">
+    **설명:** 콘텐츠가 있는 텍스트 상자를 슬라이드에 만듭니다. 제목, 설명, 단락에 사용합니다. 테이블에는 사용하지 마세요. 선택적으로 EMU 단위로 위치(x, y)와 크기(width, height)를 지정할 수 있습니다 (914400 EMU = 1 인치).
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideId` (string, 필수): 텍스트 상자를 추가할 슬라이드의 ID.
+    - `text` (string, 필수): 텍스트 상자의 텍스트 내용.
+    - `x` (integer, 선택사항): EMU 단위 X 위치 (914400 = 1 인치). 기본값: 914400 (왼쪽에서 1 인치).
+    - `y` (integer, 선택사항): EMU 단위 Y 위치 (914400 = 1 인치). 기본값: 914400 (위에서 1 인치).
+    - `width` (integer, 선택사항): EMU 단위 너비. 기본값: 7315200 (약 8 인치).
+    - `height` (integer, 선택사항): EMU 단위 높이. 기본값: 914400 (약 1 인치).
+
+  </Accordion>
+
+  <Accordion title="google_slides/delete_slide">
+    **설명:** 프레젠테이션에서 슬라이드를 제거합니다. 슬라이드 ID를 찾으려면 먼저 get_presentation을 사용하세요.
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideId` (string, 필수): 삭제할 슬라이드의 객체 ID. get_presentation에서 가져옵니다.
+
+  </Accordion>
+
+  <Accordion title="google_slides/duplicate_slide">
+    **설명:** 기존 슬라이드의 복사본을 만듭니다. 복사본은 원본 바로 다음에 삽입됩니다.
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideId` (string, 필수): 복제할 슬라이드의 객체 ID. get_presentation에서 가져옵니다.
+
+  </Accordion>
+
+  <Accordion title="google_slides/move_slides">
+    **설명:** 슬라이드를 새 위치로 이동하여 순서를 변경합니다. 슬라이드 ID는 현재 프레젠테이션 순서대로 있어야 합니다 (중복 없음).
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideIds` (string 배열, 필수): 이동할 슬라이드 ID 배열. 현재 프레젠테이션 순서대로 있어야 합니다.
+    - `insertionIndex` (integer, 필수): 대상 위치 (0 기반). 0 = 맨 앞, 슬라이드 수 = 맨 끝.
+
+  </Accordion>
+
+  <Accordion title="google_slides/insert_youtube_video">
+    **설명:** 슬라이드에 YouTube 동영상을 삽입합니다. 동영상 ID는 YouTube URL의 "v=" 다음 값입니다 (예: youtube.com/watch?v=abc123의 경우 "abc123" 사용).
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideId` (string, 필수): 동영상을 추가할 슬라이드의 ID. get_presentation에서 가져옵니다.
+    - `videoId` (string, 필수): YouTube 동영상 ID (URL의 v= 다음 값).
+
+  </Accordion>
+
+  <Accordion title="google_slides/insert_drive_video">
+    **설명:** 슬라이드에 Google Drive의 동영상을 삽입합니다. 파일 ID는 Drive 파일 URL에서 찾을 수 있습니다.
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideId` (string, 필수): 동영상을 추가할 슬라이드의 ID. get_presentation에서 가져옵니다.
+    - `fileId` (string, 필수): 동영상의 Google Drive 파일 ID.
+
+  </Accordion>
+
+  <Accordion title="google_slides/set_slide_background_image">
+    **설명:** 슬라이드의 배경 이미지를 설정합니다. 이미지 URL은 공개적으로 액세스 가능해야 합니다.
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideId` (string, 필수): 배경을 설정할 슬라이드의 ID. get_presentation에서 가져옵니다.
+    - `imageUrl` (string, 필수): 배경으로 사용할 이미지의 공개적으로 액세스 가능한 URL.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_table">
+    **설명:** 슬라이드에 빈 테이블을 만듭니다. 콘텐츠가 있는 테이블을 만들려면 create_table_with_content를 사용하세요.
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideId` (string, 필수): 테이블을 추가할 슬라이드의 ID. get_presentation에서 가져옵니다.
+    - `rows` (integer, 필수): 테이블의 행 수.
+    - `columns` (integer, 필수): 테이블의 열 수.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_table_with_content">
+    **설명:** 한 번의 작업으로 콘텐츠가 있는 테이블을 만듭니다. 콘텐츠는 2D 배열로 제공하며, 각 내부 배열은 행을 나타냅니다. 예: [["Header1", "Header2"], ["Row1Col1", "Row1Col2"]].
+
+    **매개변수:**
+    - `presentationId` (string, 필수): 프레젠테이션의 ID.
+    - `slideId` (string, 필수): 테이블을 추가할 슬라이드의 ID. get_presentation에서 가져옵니다.
+    - `rows` (integer, 필수): 테이블의 행 수.
+    - `columns` (integer, 필수): 테이블의 열 수.
+    - `content` (array, 필수): 2D 배열 형태의 테이블 콘텐츠. 각 내부 배열은 행입니다. 예: [["Year", "Revenue"], ["2023", "$10M"]].
+
+  </Accordion>
+
   <Accordion title="google_slides/import_data_from_sheet">
     **설명:** Google 시트에서 프레젠테이션으로 데이터를 가져옵니다.
 

docs/ko/enterprise/integrations/microsoft_excel.mdx

@@ -148,6 +148,16 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_excel/get_table_data">
+    **설명:** Excel 워크시트의 특정 테이블에서 데이터를 가져옵니다.
+
+    **매개변수:**
+    - `file_id` (string, 필수): Excel 파일의 ID.
+    - `worksheet_name` (string, 필수): 워크시트의 이름.
+    - `table_name` (string, 필수): 테이블의 이름.
+
+  </Accordion>
+
   <Accordion title="microsoft_excel/create_chart">
     **설명:** Excel 워크시트에 차트를 만듭니다.
 
@@ -180,6 +190,15 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_excel/get_used_range_metadata">
+    **설명:** Excel 워크시트의 사용된 범위 메타데이터(크기만, 데이터 없음)를 가져옵니다.
+
+    **매개변수:**
+    - `file_id` (string, 필수): Excel 파일의 ID.
+    - `worksheet_name` (string, 필수): 워크시트의 이름.
+
+  </Accordion>
+
   <Accordion title="microsoft_excel/list_charts">
     **설명:** Excel 워크시트의 모든 차트를 가져옵니다.
 

docs/ko/enterprise/integrations/microsoft_onedrive.mdx

@@ -150,6 +150,49 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `item_id` (string, 필수): 파일의 ID.
 
   </Accordion>
+
+  <Accordion title="microsoft_onedrive/list_files_by_path">
+    **설명:** 특정 OneDrive 경로의 파일과 폴더를 나열합니다.
+
+    **매개변수:**
+    - `folder_path` (string, 필수): 폴더 경로 (예: 'Documents/Reports').
+    - `top` (integer, 선택사항): 검색할 항목 수 (최대 1000). 기본값: 50.
+    - `orderby` (string, 선택사항): 필드별 정렬 (예: "name asc", "lastModifiedDateTime desc"). 기본값: "name asc".
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_recent_files">
+    **설명:** OneDrive에서 최근에 액세스한 파일을 가져옵니다.
+
+    **매개변수:**
+    - `top` (integer, 선택사항): 검색할 항목 수 (최대 200). 기본값: 25.
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_shared_with_me">
+    **설명:** 사용자와 공유된 파일과 폴더를 가져옵니다.
+
+    **매개변수:**
+    - `top` (integer, 선택사항): 검색할 항목 수 (최대 200). 기본값: 50.
+    - `orderby` (string, 선택사항): 필드별 정렬. 기본값: "name asc".
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_file_by_path">
+    **설명:** 경로로 특정 파일 또는 폴더에 대한 정보를 가져옵니다.
+
+    **매개변수:**
+    - `file_path` (string, 필수): 파일 또는 폴더 경로 (예: 'Documents/report.docx').
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/download_file_by_path">
+    **설명:** 경로로 OneDrive에서 파일을 다운로드합니다.
+
+    **매개변수:**
+    - `file_path` (string, 필수): 파일 경로 (예: 'Documents/report.docx').
+
+  </Accordion>
 </AccordionGroup>
 
 ## 사용 예제
@@ -183,6 +226,62 @@ crew = Crew(
 crew.kickoff()
 ```
 
+### 파일 업로드 및 관리
+
+```python
+from crewai import Agent, Task, Crew
+
+# 파일 작업에 특화된 에이전트 생성
+file_operator = Agent(
+    role="파일 운영자",
+    goal="파일을 정확하게 업로드, 다운로드 및 관리",
+    backstory="파일 처리 및 콘텐츠 관리에 능숙한 AI 어시스턴트.",
+    apps=['microsoft_onedrive/upload_file', 'microsoft_onedrive/download_file', 'microsoft_onedrive/get_file_info']
+)
+
+# 파일 업로드 및 관리 작업
+file_management_task = Task(
+    description="'report.txt'라는 이름의 텍스트 파일을 'This is a sample report for the project.' 내용으로 업로드한 다음 업로드된 파일에 대한 정보를 가져오세요.",
+    agent=file_operator,
+    expected_output="파일이 성공적으로 업로드되고 파일 정보가 검색됨."
+)
+
+crew = Crew(
+    agents=[file_operator],
+    tasks=[file_management_task]
+)
+
+crew.kickoff()
+```
+
+### 파일 정리 및 공유
+
+```python
+from crewai import Agent, Task, Crew
+
+# 파일 정리 및 공유를 위한 에이전트 생성
+file_organizer = Agent(
+    role="파일 정리자",
+    goal="파일을 정리하고 협업을 위한 공유 링크 생성",
+    backstory="파일 정리 및 공유 권한 관리에 뛰어난 AI 어시스턴트.",
+    apps=['microsoft_onedrive/search_files', 'microsoft_onedrive/move_item', 'microsoft_onedrive/share_item', 'microsoft_onedrive/create_folder']
+)
+
+# 파일 정리 및 공유 작업
+organize_share_task = Task(
+    description="이름에 'presentation'이 포함된 파일을 검색하고, '프레젠테이션'이라는 폴더를 만든 다음, 찾은 파일을 이 폴더로 이동하고 폴더에 대한 읽기 전용 공유 링크를 생성하세요.",
+    agent=file_organizer,
+    expected_output="파일이 '프레젠테이션' 폴더로 정리되고 공유 링크가 생성됨."
+)
+
+crew = Crew(
+    agents=[file_organizer],
+    tasks=[organize_share_task]
+)
+
+crew.kickoff()
+```
+
 ## 문제 해결
 
 ### 일반적인 문제
@@ -196,6 +295,30 @@ crew.kickoff()
 
 - 파일 업로드 시 `file_name`과 `content`가 제공되는지 확인하세요.
 - 바이너리 파일의 경우 내용이 Base64로 인코딩되어야 합니다.
+- OneDrive에 대한 쓰기 권한이 있는지 확인하세요.
+
+**파일/폴더 ID 문제**
+
+- 특정 파일 또는 폴더에 액세스할 때 항목 ID가 올바른지 다시 확인하세요.
+- 항목 ID는 `list_files` 또는 `search_files`와 같은 다른 작업에서 반환됩니다.
+- 참조하는 항목이 존재하고 액세스 가능한지 확인하세요.
+
+**검색 및 필터 작업**
+
+- `search_files` 작업에 적절한 검색어를 사용하세요.
+- `filter` 매개변수의 경우 올바른 OData 문법을 사용하세요.
+
+**파일 작업 (복사/이동)**
+
+- `move_item`의 경우 `item_id`와 `parent_id`가 모두 제공되는지 확인하세요.
+- `copy_item`의 경우 `item_id`만 필요합니다. `parent_id`는 지정하지 않으면 루트로 기본 설정됩니다.
+- 대상 폴더가 존재하고 액세스 가능한지 확인하세요.
+
+**공유 링크 생성**
+
+- 공유 링크를 만들기 전에 항목이 존재하는지 확인하세요.
+- 공유 요구 사항에 따라 적절한 `type`과 `scope`를 선택하세요.
+- `anonymous` 범위는 로그인 없이 액세스를 허용합니다. `organization`은 조직 계정이 필요합니다.
 
 ### 도움 받기
 

docs/ko/enterprise/integrations/microsoft_outlook.mdx

@@ -132,6 +132,74 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `companyName` (string, 선택사항): 연락처의 회사 이름.
 
   </Accordion>
+
+  <Accordion title="microsoft_outlook/get_message">
+    **설명:** ID로 특정 이메일 메시지를 가져옵니다.
+
+    **매개변수:**
+    - `message_id` (string, 필수): 메시지의 고유 식별자. get_messages 작업에서 얻을 수 있습니다.
+    - `select` (string, 선택사항): 반환할 속성의 쉼표로 구분된 목록. 예: "id,subject,body,from,receivedDateTime". 기본값: "id,subject,body,from,toRecipients,receivedDateTime".
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/reply_to_email">
+    **설명:** 이메일 메시지에 회신합니다.
+
+    **매개변수:**
+    - `message_id` (string, 필수): 회신할 메시지의 고유 식별자. get_messages 작업에서 얻을 수 있습니다.
+    - `comment` (string, 필수): 회신 메시지 내용. 일반 텍스트 또는 HTML 가능. 원본 메시지가 이 내용 아래에 인용됩니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/forward_email">
+    **설명:** 이메일 메시지를 전달합니다.
+
+    **매개변수:**
+    - `message_id` (string, 필수): 전달할 메시지의 고유 식별자. get_messages 작업에서 얻을 수 있습니다.
+    - `to_recipients` (array, 필수): 전달할 받는 사람의 이메일 주소 배열. 예: ["john@example.com", "jane@example.com"].
+    - `comment` (string, 선택사항): 전달된 콘텐츠 위에 포함할 선택적 메시지. 일반 텍스트 또는 HTML 가능.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/mark_message_read">
+    **설명:** 메시지를 읽음 또는 읽지 않음으로 표시합니다.
+
+    **매개변수:**
+    - `message_id` (string, 필수): 메시지의 고유 식별자. get_messages 작업에서 얻을 수 있습니다.
+    - `is_read` (boolean, 필수): 읽음으로 표시하려면 true, 읽지 않음으로 표시하려면 false로 설정합니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/delete_message">
+    **설명:** 이메일 메시지를 삭제합니다.
+
+    **매개변수:**
+    - `message_id` (string, 필수): 삭제할 메시지의 고유 식별자. get_messages 작업에서 얻을 수 있습니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/update_event">
+    **설명:** 기존 캘린더 이벤트를 업데이트합니다.
+
+    **매개변수:**
+    - `event_id` (string, 필수): 이벤트의 고유 식별자. get_calendar_events 작업에서 얻을 수 있습니다.
+    - `subject` (string, 선택사항): 이벤트의 새 제목/제목.
+    - `start_time` (string, 선택사항): ISO 8601 형식의 새 시작 시간 (예: "2024-01-20T10:00:00"). 필수: 이 필드 사용 시 start_timezone도 제공해야 합니다.
+    - `start_timezone` (string, 선택사항): 시작 시간의 시간대. start_time 업데이트 시 필수. 예: "Pacific Standard Time", "Eastern Standard Time", "UTC".
+    - `end_time` (string, 선택사항): ISO 8601 형식의 새 종료 시간. 필수: 이 필드 사용 시 end_timezone도 제공해야 합니다.
+    - `end_timezone` (string, 선택사항): 종료 시간의 시간대. end_time 업데이트 시 필수. 예: "Pacific Standard Time", "Eastern Standard Time", "UTC".
+    - `location` (string, 선택사항): 이벤트의 새 위치.
+    - `body` (string, 선택사항): 이벤트의 새 본문/설명. HTML 형식 지원.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/delete_event">
+    **설명:** 캘린더 이벤트를 삭제합니다.
+
+    **매개변수:**
+    - `event_id` (string, 필수): 삭제할 이벤트의 고유 식별자. get_calendar_events 작업에서 얻을 수 있습니다.
+
+  </Accordion>
 </AccordionGroup>
 
 ## 사용 예제
@@ -165,6 +233,62 @@ crew = Crew(
 crew.kickoff()
 ```
 
+### 이메일 관리 및 검색
+
+```python
+from crewai import Agent, Task, Crew
+
+# 이메일 관리에 특화된 에이전트 생성
+email_manager = Agent(
+    role="이메일 관리자",
+    goal="이메일 메시지를 검색하고 가져와 정리",
+    backstory="이메일 정리 및 관리에 능숙한 AI 어시스턴트.",
+    apps=['microsoft_outlook/get_messages']
+)
+
+# 이메일 검색 및 가져오기 작업
+search_emails_task = Task(
+    description="최신 읽지 않은 이메일 20건을 가져와 가장 중요한 것들의 요약을 제공하세요.",
+    agent=email_manager,
+    expected_output="주요 읽지 않은 이메일의 요약과 핵심 세부 정보."
+)
+
+crew = Crew(
+    agents=[email_manager],
+    tasks=[search_emails_task]
+)
+
+crew.kickoff()
+```
+
+### 캘린더 및 연락처 관리
+
+```python
+from crewai import Agent, Task, Crew
+
+# 캘린더 및 연락처 관리를 위한 에이전트 생성
+scheduler = Agent(
+    role="캘린더 및 연락처 관리자",
+    goal="캘린더 이벤트를 관리하고 연락처 정보를 유지",
+    backstory="일정 관리 및 연락처 정리를 담당하는 AI 어시스턴트.",
+    apps=['microsoft_outlook/create_calendar_event', 'microsoft_outlook/get_calendar_events', 'microsoft_outlook/create_contact']
+)
+
+# 회의 생성 및 연락처 추가 작업
+schedule_task = Task(
+    description="내일 오후 2시 '팀 회의' 제목으로 '회의실 A' 장소의 캘린더 이벤트를 만들고, 'john.smith@example.com' 이메일과 '프로젝트 매니저' 직책으로 'John Smith'의 새 연락처를 추가하세요.",
+    agent=scheduler,
+    expected_output="캘린더 이벤트가 생성되고 새 연락처가 추가됨."
+)
+
+crew = Crew(
+    agents=[scheduler],
+    tasks=[schedule_task]
+)
+
+crew.kickoff()
+```
+
 ## 문제 해결
 
 ### 일반적인 문제
@@ -173,11 +297,29 @@ crew.kickoff()
 
 - Microsoft 계정이 이메일, 캘린더 및 연락처 액세스에 필요한 권한을 가지고 있는지 확인하세요.
 - 필요한 범위: `Mail.Read`, `Mail.Send`, `Calendars.Read`, `Calendars.ReadWrite`, `Contacts.Read`, `Contacts.ReadWrite`.
+- OAuth 연결에 필요한 모든 범위가 포함되어 있는지 확인하세요.
 
 **이메일 보내기 문제**
 
 - `send_email`에 `to_recipients`, `subject`, `body`가 제공되는지 확인하세요.
 - 이메일 주소가 올바르게 형식화되어 있는지 확인하세요.
+- 계정에 `Mail.Send` 권한이 있는지 확인하세요.
+
+**캘린더 이벤트 생성**
+
+- `subject`, `start_datetime`, `end_datetime`이 제공되는지 확인하세요.
+- 날짜/시간 필드에 적절한 ISO 8601 형식을 사용하세요 (예: '2024-01-20T10:00:00').
+- 이벤트가 잘못된 시간에 표시되는 경우 시간대 설정을 확인하세요.
+
+**연락처 관리**
+
+- `create_contact`의 경우 필수인 `displayName`이 제공되는지 확인하세요.
+- `emailAddresses`를 제공할 때 `address`와 `name` 속성이 있는 올바른 객체 형식을 사용하세요.
+
+**검색 및 필터 문제**
+
+- `filter` 매개변수에 올바른 OData 문법을 사용하세요.
+- 날짜 필터의 경우 ISO 8601 형식을 사용하세요 (예: "receivedDateTime ge '2024-01-01T00:00:00Z'").
 
 ### 도움 받기
 

docs/ko/enterprise/integrations/microsoft_sharepoint.mdx

@@ -77,6 +77,17 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_sharepoint/get_drives">
+    **설명:** SharePoint 사이트의 모든 문서 라이브러리(드라이브)를 나열합니다. 파일 작업을 사용하기 전에 사용 가능한 라이브러리를 찾으려면 이 작업을 사용하세요.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `top` (integer, 선택사항): 페이지당 반환할 최대 드라이브 수 (1-999). 기본값: 100
+    - `skip_token` (string, 선택사항): 다음 결과 페이지를 가져오기 위한 이전 응답의 페이지네이션 토큰.
+    - `select` (string, 선택사항): 반환할 속성의 쉼표로 구분된 목록 (예: 'id,name,webUrl,driveType').
+
+  </Accordion>
+
   <Accordion title="microsoft_sharepoint/get_site_lists">
     **설명:** SharePoint 사이트의 모든 목록을 가져옵니다.
 
@@ -145,20 +156,317 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
 
   </Accordion>
 
-  <Accordion title="microsoft_sharepoint/get_drive_items">
-    **설명:** SharePoint 문서 라이브러리에서 파일과 폴더를 가져옵니다.
+  <Accordion title="microsoft_sharepoint/list_files">
+    **설명:** SharePoint 문서 라이브러리에서 파일과 폴더를 가져옵니다. 기본적으로 루트 폴더를 나열하지만 folder_id를 제공하여 하위 폴더로 이동할 수 있습니다.
 
     **매개변수:**
-    - `site_id` (string, 필수): SharePoint 사이트의 ID.
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `folder_id` (string, 선택사항): 내용을 나열할 폴더의 ID. 루트 폴더의 경우 'root'를 사용하거나 이전 list_files 호출에서 가져온 폴더 ID를 제공하세요. 기본값: 'root'
+    - `top` (integer, 선택사항): 페이지당 반환할 최대 항목 수 (1-1000). 기본값: 50
+    - `skip_token` (string, 선택사항): 다음 결과 페이지를 가져오기 위한 이전 응답의 페이지네이션 토큰.
+    - `orderby` (string, 선택사항): 결과 정렬 순서 (예: 'name asc', 'size desc', 'lastModifiedDateTime desc'). 기본값: 'name asc'
+    - `filter` (string, 선택사항): 결과를 좁히기 위한 OData 필터 (예: 'file ne null'은 파일만, 'folder ne null'은 폴더만).
+    - `select` (string, 선택사항): 반환할 필드의 쉼표로 구분된 목록 (예: 'id,name,size,folder,file,webUrl,lastModifiedDateTime').
 
   </Accordion>
 
-  <Accordion title="microsoft_sharepoint/delete_drive_item">
-    **설명:** SharePoint 문서 라이브러리에서 파일 또는 폴더를 삭제합니다.
+  <Accordion title="microsoft_sharepoint/delete_file">
+    **설명:** SharePoint 문서 라이브러리에서 파일 또는 폴더를 삭제합니다. 폴더의 경우 모든 내용이 재귀적으로 삭제됩니다. 항목은 사이트 휴지통으로 이동됩니다.
 
     **매개변수:**
-    - `site_id` (string, 필수): SharePoint 사이트의 ID.
-    - `item_id` (string, 필수): 삭제할 파일 또는 폴더의 ID.
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): 삭제할 파일 또는 폴더의 고유 식별자. list_files에서 가져오세요.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_files_by_path">
+    **설명:** 경로로 SharePoint 문서 라이브러리 폴더의 파일과 폴더를 나열합니다. 깊은 탐색을 위해 여러 list_files 호출보다 더 효율적입니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `folder_path` (string, 필수): 앞뒤 슬래시 없이 폴더의 전체 경로 (예: 'Documents', 'Reports/2024/Q1').
+    - `top` (integer, 선택사항): 페이지당 반환할 최대 항목 수 (1-1000). 기본값: 50
+    - `skip_token` (string, 선택사항): 다음 결과 페이지를 가져오기 위한 이전 응답의 페이지네이션 토큰.
+    - `orderby` (string, 선택사항): 결과 정렬 순서 (예: 'name asc', 'size desc'). 기본값: 'name asc'
+    - `select` (string, 선택사항): 반환할 필드의 쉼표로 구분된 목록 (예: 'id,name,size,folder,file,webUrl,lastModifiedDateTime').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/download_file">
+    **설명:** SharePoint 문서 라이브러리에서 원시 파일 내용을 다운로드합니다. 일반 텍스트 파일(.txt, .csv, .json)에만 사용하세요. Excel 파일의 경우 Excel 전용 작업을 사용하세요. Word 파일의 경우 get_word_document_content를 사용하세요.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): 다운로드할 파일의 고유 식별자. list_files 또는 list_files_by_path에서 가져오세요.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_file_info">
+    **설명:** SharePoint 문서 라이브러리의 특정 파일 또는 폴더에 대한 자세한 메타데이터를 가져옵니다. 이름, 크기, 생성/수정 날짜 및 작성자 정보가 포함됩니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): 파일 또는 폴더의 고유 식별자. list_files 또는 list_files_by_path에서 가져오세요.
+    - `select` (string, 선택사항): 반환할 속성의 쉼표로 구분된 목록 (예: 'id,name,size,createdDateTime,lastModifiedDateTime,webUrl,createdBy,lastModifiedBy').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_folder">
+    **설명:** SharePoint 문서 라이브러리에 새 폴더를 만듭니다. 기본적으로 루트에 폴더를 만들며 하위 폴더를 만들려면 parent_id를 사용하세요.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `folder_name` (string, 필수): 새 폴더의 이름. 사용할 수 없는 문자: \ / : * ? " < > |
+    - `parent_id` (string, 선택사항): 상위 폴더의 ID. 문서 라이브러리 루트의 경우 'root'를 사용하거나 list_files에서 가져온 폴더 ID를 제공하세요. 기본값: 'root'
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/search_files">
+    **설명:** 키워드로 SharePoint 문서 라이브러리에서 파일과 폴더를 검색합니다. 파일 이름, 폴더 이름 및 Office 문서의 파일 내용을 검색합니다. 와일드카드나 특수 문자를 사용하지 마세요.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `query` (string, 필수): 검색 키워드 (예: 'report', 'budget 2024'). *.txt와 같은 와일드카드는 지원되지 않습니다.
+    - `top` (integer, 선택사항): 페이지당 반환할 최대 결과 수 (1-1000). 기본값: 50
+    - `skip_token` (string, 선택사항): 다음 결과 페이지를 가져오기 위한 이전 응답의 페이지네이션 토큰.
+    - `select` (string, 선택사항): 반환할 필드의 쉼표로 구분된 목록 (예: 'id,name,size,folder,file,webUrl,lastModifiedDateTime').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/copy_file">
+    **설명:** SharePoint 내에서 파일 또는 폴더를 새 위치로 복사합니다. 원본 항목은 변경되지 않습니다. 대용량 파일의 경우 복사 작업은 비동기적입니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): 복사할 파일 또는 폴더의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `destination_folder_id` (string, 필수): 대상 폴더의 ID. 루트 폴더의 경우 'root'를 사용하거나 list_files에서 가져온 폴더 ID를 사용하세요.
+    - `new_name` (string, 선택사항): 복사본의 새 이름. 제공하지 않으면 원래 이름이 사용됩니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/move_file">
+    **설명:** SharePoint 내에서 파일 또는 폴더를 새 위치로 이동합니다. 항목은 원래 위치에서 제거됩니다. 폴더의 경우 모든 내용도 함께 이동됩니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): 이동할 파일 또는 폴더의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `destination_folder_id` (string, 필수): 대상 폴더의 ID. 루트 폴더의 경우 'root'를 사용하거나 list_files에서 가져온 폴더 ID를 사용하세요.
+    - `new_name` (string, 선택사항): 이동된 항목의 새 이름. 제공하지 않으면 원래 이름이 유지됩니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_worksheets">
+    **설명:** SharePoint 문서 라이브러리에 저장된 Excel 통합 문서의 모든 워크시트(탭)를 나열합니다. 반환된 워크시트 이름을 다른 Excel 작업에 사용하세요.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `select` (string, 선택사항): 반환할 속성의 쉼표로 구분된 목록 (예: 'id,name,position,visibility').
+    - `filter` (string, 선택사항): OData 필터 표현식 (예: "visibility eq 'Visible'"로 숨겨진 시트 제외).
+    - `top` (integer, 선택사항): 반환할 최대 워크시트 수. 최소: 1, 최대: 999
+    - `orderby` (string, 선택사항): 정렬 순서 (예: 'position asc'로 탭 순서대로 반환).
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_excel_worksheet">
+    **설명:** SharePoint 문서 라이브러리에 저장된 Excel 통합 문서에 새 워크시트(탭)를 만듭니다. 새 시트는 탭 목록의 끝에 추가됩니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `name` (string, 필수): 새 워크시트의 이름. 최대 31자. 사용할 수 없는 문자: \ / * ? : [ ]. 통합 문서 내에서 고유해야 합니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_range_data">
+    **설명:** SharePoint에 저장된 Excel 워크시트의 특정 범위에서 셀 값을 가져옵니다. 크기를 모르는 상태에서 모든 데이터를 읽으려면 대신 get_excel_used_range를 사용하세요.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 읽을 워크시트(탭)의 이름. get_excel_worksheets에서 가져오세요. 대소문자를 구분합니다.
+    - `range` (string, 필수): A1 표기법의 셀 범위 (예: 'A1:C10', 'A:C', '1:5', 'A1').
+    - `select` (string, 선택사항): 반환할 속성의 쉼표로 구분된 목록 (예: 'address,values,formulas,numberFormat,text').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/update_excel_range_data">
+    **설명:** SharePoint에 저장된 Excel 워크시트의 특정 범위에 값을 씁니다. 기존 셀 내용을 덮어씁니다. values 배열의 크기는 범위 크기와 정확히 일치해야 합니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 업데이트할 워크시트(탭)의 이름. get_excel_worksheets에서 가져오세요. 대소문자를 구분합니다.
+    - `range` (string, 필수): 값을 쓸 A1 표기법의 셀 범위 (예: 'A1:C3'은 3x3 블록).
+    - `values` (array, 필수): 2D 값 배열 (셀을 포함하는 행). A1:B2의 예: [["Header1", "Header2"], ["Value1", "Value2"]]. 셀을 지우려면 null을 사용하세요.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_used_range_metadata">
+    **설명:** 실제 셀 값 없이 워크시트에서 사용된 범위의 메타데이터(주소 및 크기)만 반환합니다. 대용량 파일에서 데이터를 청크로 읽기 전에 스프레드시트 크기를 파악하는 데 이상적입니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 읽을 워크시트(탭)의 이름. get_excel_worksheets에서 가져오세요. 대소문자를 구분합니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_used_range">
+    **설명:** SharePoint에 저장된 워크시트에서 데이터가 포함된 모든 셀을 가져옵니다. 2MB보다 큰 파일에는 사용하지 마세요. 대용량 파일의 경우 먼저 get_excel_used_range_metadata를 사용한 다음 get_excel_range_data로 작은 청크로 읽으세요.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 읽을 워크시트(탭)의 이름. get_excel_worksheets에서 가져오세요. 대소문자를 구분합니다.
+    - `select` (string, 선택사항): 반환할 속성의 쉼표로 구분된 목록 (예: 'address,values,formulas,numberFormat,text,rowCount,columnCount').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_cell">
+    **설명:** SharePoint의 Excel 파일에서 행과 열 인덱스로 단일 셀의 값을 가져옵니다. 인덱스는 0 기반입니다 (행 0 = Excel 행 1, 열 0 = 열 A).
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 워크시트(탭)의 이름. get_excel_worksheets에서 가져오세요. 대소문자를 구분합니다.
+    - `row` (integer, 필수): 0 기반 행 인덱스 (행 0 = Excel 행 1). 유효 범위: 0-1048575
+    - `column` (integer, 필수): 0 기반 열 인덱스 (열 0 = A, 열 1 = B). 유효 범위: 0-16383
+    - `select` (string, 선택사항): 반환할 속성의 쉼표로 구분된 목록 (예: 'address,values,formulas,numberFormat,text').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/add_excel_table">
+    **설명:** 셀 범위를 필터링, 정렬 및 구조화된 데이터 기능이 있는 서식이 지정된 Excel 테이블로 변환합니다. 테이블을 만들면 add_excel_table_row로 데이터를 추가할 수 있습니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 데이터 범위가 포함된 워크시트의 이름. get_excel_worksheets에서 가져오세요.
+    - `range` (string, 필수): 헤더와 데이터를 포함하여 테이블로 변환할 셀 범위 (예: 'A1:D10'에서 A1:D1은 열 헤더).
+    - `has_headers` (boolean, 선택사항): 첫 번째 행에 열 헤더가 포함되어 있으면 true로 설정. 기본값: true
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_tables">
+    **설명:** SharePoint에 저장된 특정 Excel 워크시트의 모든 테이블을 나열합니다. id, name, showHeaders 및 showTotals를 포함한 테이블 속성을 반환합니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 테이블을 가져올 워크시트의 이름. get_excel_worksheets에서 가져오세요.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/add_excel_table_row">
+    **설명:** SharePoint 파일의 Excel 테이블 끝에 새 행을 추가합니다. values 배열은 테이블의 열 수와 같은 수의 요소를 가져야 합니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 테이블이 포함된 워크시트의 이름. get_excel_worksheets에서 가져오세요.
+    - `table_name` (string, 필수): 행을 추가할 테이블의 이름 (예: 'Table1'). get_excel_tables에서 가져오세요. 대소문자를 구분합니다.
+    - `values` (array, 필수): 새 행의 셀 값 배열로 테이블 순서대로 열당 하나씩 (예: ["John Doe", "john@example.com", 25]).
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_table_data">
+    **설명:** SharePoint 파일의 Excel 테이블에서 모든 행을 데이터 범위로 가져옵니다. 정확한 범위를 알 필요가 없으므로 구조화된 테이블 작업 시 get_excel_range_data보다 쉽습니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 테이블이 포함된 워크시트의 이름. get_excel_worksheets에서 가져오세요.
+    - `table_name` (string, 필수): 데이터를 가져올 테이블의 이름 (예: 'Table1'). get_excel_tables에서 가져오세요. 대소문자를 구분합니다.
+    - `select` (string, 선택사항): 반환할 속성의 쉼표로 구분된 목록 (예: 'address,values,formulas,numberFormat,text').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_excel_chart">
+    **설명:** SharePoint에 저장된 Excel 워크시트에 데이터 범위에서 차트 시각화를 만듭니다. 차트는 워크시트에 포함됩니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 차트를 만들 워크시트의 이름. get_excel_worksheets에서 가져오세요.
+    - `chart_type` (string, 필수): 차트 유형 (예: 'ColumnClustered', 'ColumnStacked', 'Line', 'LineMarkers', 'Pie', 'Bar', 'BarClustered', 'Area', 'Scatter', 'Doughnut').
+    - `source_data` (string, 필수): 헤더를 포함한 A1 표기법의 차트 데이터 범위 (예: 'A1:B10').
+    - `series_by` (string, 선택사항): 데이터 계열 구성 방법: 'Auto', 'Columns' 또는 'Rows'. 기본값: 'Auto'
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_excel_charts">
+    **설명:** SharePoint에 저장된 Excel 워크시트에 포함된 모든 차트를 나열합니다. id, name, chartType, height, width 및 position을 포함한 차트 속성을 반환합니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 차트를 나열할 워크시트의 이름. get_excel_worksheets에서 가져오세요.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/delete_excel_worksheet">
+    **설명:** SharePoint에 저장된 Excel 통합 문서에서 워크시트(탭)와 모든 내용을 영구적으로 제거합니다. 실행 취소할 수 없습니다. 통합 문서에는 최소 하나의 워크시트가 있어야 합니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 삭제할 워크시트의 이름. 대소문자를 구분합니다. 이 시트의 모든 데이터, 테이블 및 차트가 영구적으로 제거됩니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/delete_excel_table">
+    **설명:** SharePoint의 Excel 워크시트에서 테이블을 제거합니다. 테이블 구조(필터링, 서식, 테이블 기능)는 삭제되지만 기본 셀 데이터는 보존됩니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+    - `worksheet_name` (string, 필수): 테이블이 포함된 워크시트의 이름. get_excel_worksheets에서 가져오세요.
+    - `table_name` (string, 필수): 삭제할 테이블의 이름 (예: 'Table1'). get_excel_tables에서 가져오세요. 테이블 삭제 후에도 셀의 데이터는 유지됩니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_excel_names">
+    **설명:** SharePoint에 저장된 Excel 통합 문서에 정의된 모든 명명된 범위를 가져옵니다. 명명된 범위는 셀 범위에 대한 사용자 정의 레이블입니다 (예: 'SalesData'는 A1:D100을 가리킴).
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Excel 파일의 고유 식별자. list_files 또는 search_files에서 가져오세요.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_word_document_content">
+    **설명:** SharePoint 문서 라이브러리에 저장된 Word 문서(.docx)에서 텍스트 내용을 다운로드하고 추출합니다. SharePoint에서 Word 문서를 읽는 권장 방법입니다.
+
+    **매개변수:**
+    - `site_id` (string, 필수): get_sites에서 가져온 전체 SharePoint 사이트 식별자.
+    - `drive_id` (string, 필수): 문서 라이브러리의 ID. 먼저 get_drives를 호출하여 유효한 드라이브 ID를 가져오세요.
+    - `item_id` (string, 필수): SharePoint에 있는 Word 문서(.docx)의 고유 식별자. list_files 또는 search_files에서 가져오세요.
 
   </Accordion>
 </AccordionGroup>

docs/ko/enterprise/integrations/microsoft_teams.mdx

@@ -107,6 +107,86 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `join_web_url` (string, 필수): 검색할 회의의 웹 참가 URL.
 
   </Accordion>
+
+  <Accordion title="microsoft_teams/search_online_meetings_by_meeting_id">
+    **설명:** 외부 Meeting ID로 온라인 회의를 검색합니다.
+
+    **매개변수:**
+    - `join_meeting_id` (string, 필수): 참석자가 참가할 때 사용하는 회의 ID(숫자 코드). 회의 초대에 표시되는 joinMeetingId이며, Graph API meeting id가 아닙니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_meeting">
+    **설명:** 특정 온라인 회의의 세부 정보를 가져옵니다.
+
+    **매개변수:**
+    - `meeting_id` (string, 필수): Graph API 회의 ID(긴 영숫자 문자열). create_meeting 또는 search_online_meetings 작업에서 얻을 수 있습니다. 숫자 joinMeetingId와 다릅니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_team_members">
+    **설명:** 특정 팀의 멤버를 가져옵니다.
+
+    **매개변수:**
+    - `team_id` (string, 필수): 팀의 고유 식별자. get_teams 작업에서 얻을 수 있습니다.
+    - `top` (integer, 선택사항): 페이지당 검색할 멤버 수 (1-999). 기본값: 100.
+    - `skip_token` (string, 선택사항): 이전 응답의 페이지네이션 토큰. 응답에 @odata.nextLink가 포함된 경우 $skiptoken 매개변수 값을 추출하여 여기에 전달하면 다음 페이지 결과를 가져올 수 있습니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/create_channel">
+    **설명:** 팀에 새 채널을 만듭니다.
+
+    **매개변수:**
+    - `team_id` (string, 필수): 팀의 고유 식별자. get_teams 작업에서 얻을 수 있습니다.
+    - `display_name` (string, 필수): Teams에 표시되는 채널 이름. 팀 내에서 고유해야 합니다. 최대 50자.
+    - `description` (string, 선택사항): 채널 목적을 설명하는 선택적 설명. 채널 세부 정보에 표시됩니다. 최대 1024자.
+    - `membership_type` (string, 선택사항): 채널 가시성. 옵션: standard, private. "standard" = 모든 팀 멤버에게 표시, "private" = 명시적으로 추가된 멤버에게만 표시. 기본값: standard.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_message_replies">
+    **설명:** 채널의 특정 메시지에 대한 회신을 가져옵니다.
+
+    **매개변수:**
+    - `team_id` (string, 필수): 팀의 고유 식별자. get_teams 작업에서 얻을 수 있습니다.
+    - `channel_id` (string, 필수): 채널의 고유 식별자. get_channels 작업에서 얻을 수 있습니다.
+    - `message_id` (string, 필수): 상위 메시지의 고유 식별자. get_messages 작업에서 얻을 수 있습니다.
+    - `top` (integer, 선택사항): 페이지당 검색할 회신 수 (1-50). 기본값: 50.
+    - `skip_token` (string, 선택사항): 이전 응답의 페이지네이션 토큰. 응답에 @odata.nextLink가 포함된 경우 $skiptoken 매개변수 값을 추출하여 여기에 전달하면 다음 페이지 결과를 가져올 수 있습니다.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/reply_to_message">
+    **설명:** Teams 채널의 메시지에 회신합니다.
+
+    **매개변수:**
+    - `team_id` (string, 필수): 팀의 고유 식별자. get_teams 작업에서 얻을 수 있습니다.
+    - `channel_id` (string, 필수): 채널의 고유 식별자. get_channels 작업에서 얻을 수 있습니다.
+    - `message_id` (string, 필수): 회신할 메시지의 고유 식별자. get_messages 작업에서 얻을 수 있습니다.
+    - `message` (string, 필수): 회신 내용. HTML의 경우 서식 태그 포함. 텍스트의 경우 일반 텍스트만.
+    - `content_type` (string, 선택사항): 콘텐츠 형식. 옵션: html, text. "text"는 일반 텍스트, "html"은 서식이 있는 리치 텍스트. 기본값: text.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/update_meeting">
+    **설명:** 기존 온라인 회의를 업데이트합니다.
+
+    **매개변수:**
+    - `meeting_id` (string, 필수): 회의의 고유 식별자. create_meeting 또는 search_online_meetings 작업에서 얻을 수 있습니다.
+    - `subject` (string, 선택사항): 새 회의 제목.
+    - `startDateTime` (string, 선택사항): 시간대가 포함된 ISO 8601 형식의 새 시작 시간. 예: "2024-01-20T10:00:00-08:00".
+    - `endDateTime` (string, 선택사항): 시간대가 포함된 ISO 8601 형식의 새 종료 시간.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/delete_meeting">
+    **설명:** 온라인 회의를 삭제합니다.
+
+    **매개변수:**
+    - `meeting_id` (string, 필수): 삭제할 회의의 고유 식별자. create_meeting 또는 search_online_meetings 작업에서 얻을 수 있습니다.
+
+  </Accordion>
 </AccordionGroup>
 
 ## 사용 예제
@@ -140,6 +220,62 @@ crew = Crew(
 crew.kickoff()
 ```
 
+### 메시징 및 커뮤니케이션
+
+```python
+from crewai import Agent, Task, Crew
+
+# 메시징에 특화된 에이전트 생성
+messenger = Agent(
+    role="Teams 메신저",
+    goal="Teams 채널에서 메시지 전송 및 검색",
+    backstory="팀 커뮤니케이션 및 메시지 관리에 능숙한 AI 어시스턴트.",
+    apps=['microsoft_teams/send_message', 'microsoft_teams/get_messages']
+)
+
+# 메시지 전송 및 최근 메시지 검색 작업
+messaging_task = Task(
+    description="'your_team_id' 팀의 General 채널에 'Hello team! This is an automated update from our AI assistant.' 메시지를 보낸 다음 해당 채널의 최근 10개 메시지를 검색하세요.",
+    agent=messenger,
+    expected_output="메시지가 성공적으로 전송되고 최근 메시지가 검색됨."
+)
+
+crew = Crew(
+    agents=[messenger],
+    tasks=[messaging_task]
+)
+
+crew.kickoff()
+```
+
+### 회의 관리
+
+```python
+from crewai import Agent, Task, Crew
+
+# 회의 관리를 위한 에이전트 생성
+meeting_scheduler = Agent(
+    role="회의 스케줄러",
+    goal="Teams 회의 생성 및 관리",
+    backstory="회의 일정 관리 및 정리를 담당하는 AI 어시스턴트.",
+    apps=['microsoft_teams/create_meeting', 'microsoft_teams/search_online_meetings_by_join_url']
+)
+
+# 회의 생성 작업
+schedule_meeting_task = Task(
+    description="내일 오전 10시에 1시간 동안 진행되는 '주간 팀 동기화' 제목의 Teams 회의를 생성하세요 (시간대가 포함된 적절한 ISO 8601 형식 사용).",
+    agent=meeting_scheduler,
+    expected_output="회의 세부 정보와 함께 Teams 회의가 성공적으로 생성됨."
+)
+
+crew = Crew(
+    agents=[meeting_scheduler],
+    tasks=[schedule_meeting_task]
+)
+
+crew.kickoff()
+```
+
 ## 문제 해결
 
 ### 일반적인 문제
@@ -148,11 +284,35 @@ crew.kickoff()
 
 - Microsoft 계정이 Teams 액세스에 필요한 권한을 가지고 있는지 확인하세요.
 - 필요한 범위: `Team.ReadBasic.All`, `Channel.ReadBasic.All`, `ChannelMessage.Send`, `ChannelMessage.Read.All`, `OnlineMeetings.ReadWrite`, `OnlineMeetings.Read`.
+- OAuth 연결에 필요한 모든 범위가 포함되어 있는지 확인하세요.
 
 **팀 및 채널 액세스**
 
 - 액세스하려는 팀의 멤버인지 확인하세요.
 - 팀 및 채널 ID가 올바른지 다시 확인하세요.
+- 팀 및 채널 ID는 `get_teams` 및 `get_channels` 작업을 사용하여 얻을 수 있습니다.
+
+**메시지 전송 문제**
+
+- `send_message`에 `team_id`, `channel_id`, `message`가 제공되는지 확인하세요.
+- 지정된 채널에 메시지를 보낼 권한이 있는지 확인하세요.
+- 메시지 형식에 따라 적절한 `content_type`(text 또는 html)을 선택하세요.
+
+**회의 생성**
+
+- `subject`, `startDateTime`, `endDateTime`이 제공되는지 확인하세요.
+- 날짜/시간 필드에 시간대가 포함된 적절한 ISO 8601 형식을 사용하세요 (예: '2024-01-20T10:00:00-08:00').
+- 회의 시간이 미래인지 확인하세요.
+
+**메시지 검색 제한**
+
+- `get_messages` 작업은 요청당 최대 50개 메시지만 검색할 수 있습니다.
+- 메시지는 역시간순(최신순)으로 반환됩니다.
+
+**회의 검색**
+
+- `search_online_meetings_by_join_url`의 경우 참가 URL이 정확하고 올바르게 형식화되어 있는지 확인하세요.
+- URL은 완전한 Teams 회의 참가 URL이어야 합니다.
 
 ### 도움 받기
 

docs/ko/enterprise/integrations/microsoft_word.mdx

@@ -97,6 +97,26 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=your_enterprise_token
     - `file_id` (string, 필수): 삭제할 문서의 ID.
 
   </Accordion>
+
+  <Accordion title="microsoft_word/copy_document">
+    **설명:** OneDrive의 새 위치에 문서를 복사합니다.
+
+    **매개변수:**
+    - `file_id` (string, 필수): 복사할 문서의 ID.
+    - `name` (string, 선택사항): 복사된 문서의 새 이름.
+    - `parent_id` (string, 선택사항): 대상 폴더의 ID (기본값: 루트).
+
+  </Accordion>
+
+  <Accordion title="microsoft_word/move_document">
+    **설명:** OneDrive의 새 위치로 문서를 이동합니다.
+
+    **매개변수:**
+    - `file_id` (string, 필수): 이동할 문서의 ID.
+    - `parent_id` (string, 필수): 대상 폴더의 ID.
+    - `name` (string, 선택사항): 이동된 문서의 새 이름.
+
+  </Accordion>
 </AccordionGroup>
 
 ## 사용 예제

docs/ko/learn/human-feedback-in-flows.mdx

@@ -73,6 +73,8 @@ flow.kickoff()
 | `default_outcome` | `str` | 아니오 | 피드백이 제공되지 않을 때 사용할 outcome. `emit`에 있어야 합니다 |
 | `metadata` | `dict` | 아니오 | 엔터프라이즈 통합을 위한 추가 데이터 |
 | `provider` | `HumanFeedbackProvider` | 아니오 | 비동기/논블로킹 피드백을 위한 커스텀 프로바이더. [비동기 인간 피드백](#비동기-인간-피드백-논블로킹) 참조 |
+| `learn` | `bool` | 아니오 | HITL 학습 활성화: 피드백에서 교훈을 추출하고 향후 출력을 사전 검토합니다. 기본값 `False`. [피드백에서 학습하기](#피드백에서-학습하기) 참조 |
+| `learn_limit` | `int` | 아니오 | 사전 검토를 위해 불러올 최대 과거 교훈 수. 기본값 `5` |
 
 ### 기본 사용법 (라우팅 없음)
 
@@ -96,33 +98,43 @@ def handle_feedback(self, result):
 `emit`을 지정하면, 데코레이터는 라우터가 됩니다. 인간의 자유 형식 피드백이 LLM에 의해 해석되어 지정된 outcome 중 하나로 매핑됩니다:
 
 ```python Code
-@start()
-@human_feedback(
-    message="이 콘텐츠의 출판을 승인하시겠습니까?",
-    emit=["approved", "rejected", "needs_revision"],
-    llm="gpt-4o-mini",
-    default_outcome="needs_revision",
-)
-def review_content(self):
-    return "블로그 게시물 초안 내용..."
+from crewai.flow.flow import Flow, start, listen, or_
+from crewai.flow.human_feedback import human_feedback
 
-@listen("approved")
-def publish(self, result):
-    print(f"출판 중! 사용자 의견: {result.feedback}")
+class ReviewFlow(Flow):
+    @start()
+    def generate_content(self):
+        return "블로그 게시물 초안 내용..."
 
-@listen("rejected")
-def discard(self, result):
-    print(f"폐기됨. 이유: {result.feedback}")
+    @human_feedback(
+        message="이 콘텐츠의 출판을 승인하시겠습니까?",
+        emit=["approved", "rejected", "needs_revision"],
+        llm="gpt-4o-mini",
+        default_outcome="needs_revision",
+    )
+    @listen(or_("generate_content", "needs_revision"))
+    def review_content(self):
+        return "블로그 게시물 초안 내용..."
 
-@listen("needs_revision")
-def revise(self, result):
-    print(f"다음을 기반으로 수정 중: {result.feedback}")
+    @listen("approved")
+    def publish(self, result):
+        print(f"출판 중! 사용자 의견: {result.feedback}")
+
+    @listen("rejected")
+    def discard(self, result):
+        print(f"폐기됨. 이유: {result.feedback}")
 ```
 
+사용자가 "더 자세한 내용이 필요합니다"와 같이 말하면, LLM이 이를 `"needs_revision"`으로 매핑하고, `or_()`를 통해 `review_content`가 다시 트리거됩니다 — 수정 루프가 생성됩니다. outcome이 `"approved"` 또는 `"rejected"`가 될 때까지 루프가 계속됩니다.
+
 <Tip>
 LLM은 가능한 경우 구조화된 출력(function calling)을 사용하여 응답이 지정된 outcome 중 하나임을 보장합니다. 이로 인해 라우팅이 신뢰할 수 있고 예측 가능해집니다.
 </Tip>
 
+<Warning>
+`@start()` 메서드는 flow 시작 시 한 번만 실행됩니다. 수정 루프가 필요한 경우, start 메서드를 review 메서드와 분리하고 review 메서드에 `@listen(or_("trigger", "revision_outcome"))`를 사용하여 self-loop을 활성화하세요.
+</Warning>
+
 ## HumanFeedbackResult
 
 `HumanFeedbackResult` 데이터클래스는 인간 피드백 상호작용에 대한 모든 정보를 포함합니다:
@@ -191,116 +203,162 @@ def summarize(self):
 <CodeGroup>
 
 ```python Code
-from crewai.flow.flow import Flow, start, listen
+from crewai.flow.flow import Flow, start, listen, or_
 from crewai.flow.human_feedback import human_feedback, HumanFeedbackResult
 from pydantic import BaseModel
 
 
 class ContentState(BaseModel):
-    topic: str = ""
     draft: str = ""
-    final_content: str = ""
     revision_count: int = 0
+    status: str = "pending"
 
 
 class ContentApprovalFlow(Flow[ContentState]):
-    """콘텐츠를 생성하고 인간의 승인을 받는 Flow입니다."""
+    """콘텐츠를 생성하고 승인될 때까지 반복하는 Flow."""
 
     @start()
-    def get_topic(self):
-        self.state.topic = input("어떤 주제에 대해 글을 쓸까요? ")
-        return self.state.topic
-
-    @listen(get_topic)
-    def generate_draft(self, topic):
-        # 실제 사용에서는 LLM을 호출합니다
-        self.state.draft = f"# {topic}\n\n{topic}에 대한 초안입니다..."
+    def generate_draft(self):
+        self.state.draft = "# AI 안전\n\nAI 안전에 대한 초안..."
         return self.state.draft
 
-    @listen(generate_draft)
     @human_feedback(
-        message="이 초안을 검토해 주세요. 'approved', 'rejected'로 답하거나 수정 피드백을 제공해 주세요:",
+        message="이 초안을 검토해 주세요. 승인, 거부 또는 변경이 필요한 사항을 설명해 주세요:",
         emit=["approved", "rejected", "needs_revision"],
         llm="gpt-4o-mini",
         default_outcome="needs_revision",
     )
-    def review_draft(self, draft):
-        return draft
+    @listen(or_("generate_draft", "needs_revision"))
+    def review_draft(self):
+        self.state.revision_count += 1
+        return f"{self.state.draft} (v{self.state.revision_count})"
 
     @listen("approved")
     def publish_content(self, result: HumanFeedbackResult):
-        self.state.final_content = result.output
-        print("\n✅ 콘텐츠가 승인되어 출판되었습니다!")
-        print(f"검토자 코멘트: {result.feedback}")
+        self.state.status = "published"
+        print(f"콘텐츠 승인 및 게시! 리뷰어 의견: {result.feedback}")
         return "published"
 
     @listen("rejected")
     def handle_rejection(self, result: HumanFeedbackResult):
-        print("\n❌ 콘텐츠가 거부되었습니다")
-        print(f"이유: {result.feedback}")
+        self.state.status = "rejected"
+        print(f"콘텐츠 거부됨. 이유: {result.feedback}")
         return "rejected"
 
-    @listen("needs_revision")
-    def revise_content(self, result: HumanFeedbackResult):
-        self.state.revision_count += 1
-        print(f"\n📝 수정 #{self.state.revision_count} 요청됨")
-        print(f"피드백: {result.feedback}")
 
-        # 실제 Flow에서는 generate_draft로 돌아갈 수 있습니다
-        # 이 예제에서는 단순히 확인합니다
-        return "revision_requested"
-
-
-# Flow 실행
 flow = ContentApprovalFlow()
 result = flow.kickoff()
-print(f"\nFlow 완료. 요청된 수정: {flow.state.revision_count}")
+print(f"\nFlow 완료. 상태: {flow.state.status}, 검토 횟수: {flow.state.revision_count}")
 ```
 
 ```text Output
-어떤 주제에 대해 글을 쓸까요? AI 안전
+==================================================
+OUTPUT FOR REVIEW:
+==================================================
+# AI 안전
+
+AI 안전에 대한 초안... (v1)
+==================================================
+
+이 초안을 검토해 주세요. 승인, 거부 또는 변경이 필요한 사항을 설명해 주세요:
+(Press Enter to skip, or type your feedback)
+
+Your feedback: 더 자세한 내용이 필요합니다
 
 ==================================================
 OUTPUT FOR REVIEW:
 ==================================================
 # AI 안전
 
-AI 안전에 대한 초안입니다...
+AI 안전에 대한 초안... (v2)
 ==================================================
 
-이 초안을 검토해 주세요. 'approved', 'rejected'로 답하거나 수정 피드백을 제공해 주세요:
+이 초안을 검토해 주세요. 승인, 거부 또는 변경이 필요한 사항을 설명해 주세요:
 (Press Enter to skip, or type your feedback)
 
 Your feedback: 좋아 보입니다, 승인!
 
-✅ 콘텐츠가 승인되어 출판되었습니다!
-검토자 코멘트: 좋아 보입니다, 승인!
+콘텐츠 승인 및 게시! 리뷰어 의견: 좋아 보입니다, 승인!
 
-Flow 완료. 요청된 수정: 0
+Flow 완료. 상태: published, 검토 횟수: 2
 ```
 
 </CodeGroup>
 
 ## 다른 데코레이터와 결합하기
 
-`@human_feedback` 데코레이터는 다른 Flow 데코레이터와 함께 작동합니다. 가장 안쪽 데코레이터(함수에 가장 가까운)로 배치하세요:
+`@human_feedback` 데코레이터는 `@start()`, `@listen()`, `or_()`와 함께 작동합니다. 데코레이터 순서는 두 가지 모두 동작합니다—프레임워크가 양방향으로 속성을 전파합니다—하지만 권장 패턴은 다음과 같습니다:
 
 ```python Code
-# 올바름: @human_feedback이 가장 안쪽(함수에 가장 가까움)
+# Flow 시작 시 일회성 검토 (self-loop 없음)
 @start()
-@human_feedback(message="이것을 검토해 주세요:")
+@human_feedback(message="이것을 검토해 주세요:", emit=["approved", "rejected"], llm="gpt-4o-mini")
 def my_start_method(self):
     return "content"
 
+# 리스너에서 선형 검토 (self-loop 없음)
 @listen(other_method)
-@human_feedback(message="이것도 검토해 주세요:")
+@human_feedback(message="이것도 검토해 주세요:", emit=["good", "bad"], llm="gpt-4o-mini")
 def my_listener(self, data):
     return f"processed: {data}"
+
+# Self-loop: 수정을 위해 반복할 수 있는 검토
+@human_feedback(message="승인 또는 수정 요청?", emit=["approved", "revise"], llm="gpt-4o-mini")
+@listen(or_("upstream_method", "revise"))
+def review_with_loop(self):
+    return "content for review"
 ```
 
-<Tip>
-`@human_feedback`를 가장 안쪽 데코레이터(마지막/함수에 가장 가까움)로 배치하여 메서드를 직접 래핑하고 Flow 시스템에 전달하기 전에 반환 값을 캡처할 수 있도록 하세요.
-</Tip>
+### Self-loop 패턴
+
+수정 루프를 만들려면 `or_()`를 사용하여 검토 메서드가 **상위 트리거**와 **자체 수정 outcome**을 모두 리스닝해야 합니다:
+
+```python Code
+@start()
+def generate(self):
+    return "initial draft"
+
+@human_feedback(
+    message="승인하시겠습니까, 아니면 변경을 요청하시겠습니까?",
+    emit=["revise", "approved"],
+    llm="gpt-4o-mini",
+    default_outcome="approved",
+)
+@listen(or_("generate", "revise"))
+def review(self):
+    return "content"
+
+@listen("approved")
+def publish(self):
+    return "published"
+```
+
+outcome이 `"revise"`이면 flow가 `review`로 다시 라우팅됩니다 (`or_()`를 통해 `"revise"`를 리스닝하기 때문). outcome이 `"approved"`이면 flow가 `publish`로 계속됩니다. flow 엔진이 라우터를 "한 번만 실행" 규칙에서 제외하여 각 루프 반복마다 재실행할 수 있기 때문에 이 패턴이 동작합니다.
+
+### 체인된 라우터
+
+한 라우터의 outcome으로 트리거된 리스너가 그 자체로 라우터가 될 수 있습니다:
+
+```python Code
+@start()
+@human_feedback(message="첫 번째 검토:", emit=["approved", "rejected"], llm="gpt-4o-mini")
+def draft(self):
+    return "draft content"
+
+@listen("approved")
+@human_feedback(message="최종 검토:", emit=["publish", "revise"], llm="gpt-4o-mini")
+def final_review(self, prev):
+    return "final content"
+
+@listen("publish")
+def on_publish(self, prev):
+    return "published"
+```
+
+### 제한 사항
+
+- **`@start()` 메서드는 한 번만 실행**: `@start()` 메서드는 self-loop할 수 없습니다. 수정 주기가 필요하면 별도의 `@start()` 메서드를 진입점으로 사용하고 `@listen()` 메서드에 `@human_feedback`를 배치하세요.
+- **동일 메서드에 `@start()` + `@listen()` 불가**: 이는 Flow 프레임워크 제약입니다. 메서드는 시작점이거나 리스너여야 하며, 둘 다일 수 없습니다.
 
 ## 모범 사례
 
@@ -514,9 +572,9 @@ class ContentPipeline(Flow):
     @start()
     @human_feedback(
         message="이 콘텐츠의 출판을 승인하시겠습니까?",
-        emit=["approved", "rejected", "needs_revision"],
+        emit=["approved", "rejected"],
         llm="gpt-4o-mini",
-        default_outcome="needs_revision",
+        default_outcome="rejected",
         provider=SlackNotificationProvider("#content-reviews"),
     )
     def generate_content(self):
@@ -532,11 +590,6 @@ class ContentPipeline(Flow):
         print(f"보관됨. 이유: {result.feedback}")
         return {"status": "archived"}
 
-    @listen("needs_revision")
-    def queue_revision(self, result):
-        print(f"수정 대기열에 추가됨: {result.feedback}")
-        return {"status": "revision_needed"}
-
 
 # Flow 시작 (Slack 응답을 기다리며 일시 중지)
 def start_content_pipeline():
@@ -576,6 +629,64 @@ async def on_slack_feedback_async(flow_id: str, slack_message: str):
 5. **자동 영속성**: `HumanFeedbackPending`이 발생하면 상태가 자동으로 저장되며 기본적으로 `SQLiteFlowPersistence` 사용
 6. **커스텀 영속성**: 필요한 경우 `from_pending()`에 커스텀 영속성 인스턴스 전달
 
+## 피드백에서 학습하기
+
+`learn=True` 매개변수는 인간 검토자와 메모리 시스템 간의 피드백 루프를 활성화합니다. 활성화되면 시스템은 과거 인간의 수정 사항에서 학습하여 출력을 점진적으로 개선합니다.
+
+### 작동 방식
+
+1. **피드백 후**: LLM이 출력 + 피드백에서 일반화 가능한 교훈을 추출하고 `source="hitl"`로 메모리에 저장합니다. 피드백이 단순한 승인(예: "좋아 보입니다")인 경우 아무것도 저장하지 않습니다.
+2. **다음 검토 전**: 과거 HITL 교훈을 메모리에서 불러와 LLM이 인간이 보기 전에 출력을 개선하는 데 적용합니다.
+
+시간이 지남에 따라 각 수정 사항이 향후 검토에 반영되므로 인간은 점진적으로 더 나은 사전 검토된 출력을 보게 됩니다.
+
+### 예제
+
+```python Code
+class ArticleReviewFlow(Flow):
+    @start()
+    def generate_article(self):
+        return self.crew.kickoff(inputs={"topic": "AI Safety"}).raw
+
+    @human_feedback(
+        message="이 글 초안을 검토해 주세요:",
+        emit=["approved", "needs_revision"],
+        llm="gpt-4o-mini",
+        learn=True,
+    )
+    @listen(or_("generate_article", "needs_revision"))
+    def review_article(self):
+        return self.last_human_feedback.output if self.last_human_feedback else "article draft"
+
+    @listen("approved")
+    def publish(self):
+        print(f"Publishing: {self.last_human_feedback.output}")
+```
+
+**첫 번째 실행**: 인간이 원시 출력을 보고 "사실에 대한 주장에는 항상 인용을 포함하세요."라고 말합니다. 교훈이 추출되어 메모리에 저장됩니다.
+
+**두 번째 실행**: 시스템이 인용 교훈을 불러와 출력을 사전 검토하여 인용을 추가한 후 개선된 버전을 표시합니다. 인간의 역할이 "모든 것을 수정"에서 "시스템이 놓친 것을 찾기"로 전환됩니다.
+
+### 구성
+
+| 매개변수 | 기본값 | 설명 |
+|-----------|--------|------|
+| `learn` | `False` | HITL 학습 활성화 |
+| `learn_limit` | `5` | 사전 검토를 위해 불러올 최대 과거 교훈 수 |
+
+### 주요 설계 결정
+
+- **모든 것에 동일한 LLM 사용**: 데코레이터의 `llm` 매개변수는 outcome 매핑, 교훈 추출, 사전 검토에 공유됩니다. 여러 모델을 구성할 필요가 없습니다.
+- **구조화된 출력**: 추출과 사전 검토 모두 LLM이 지원하는 경우 Pydantic 모델과 함께 function calling을 사용하고, 그렇지 않으면 텍스트 파싱으로 폴백합니다.
+- **논블로킹 저장**: 교훈은 백그라운드 스레드에서 실행되는 `remember_many()`를 통해 저장됩니다 -- Flow는 즉시 계속됩니다.
+- **우아한 저하**: 추출 중 LLM이 실패하면 아무것도 저장하지 않습니다. 사전 검토 중 실패하면 원시 출력이 표시됩니다. 어느 쪽의 실패도 Flow를 차단하지 않습니다.
+- **범위/카테고리 불필요**: 교훈을 저장할 때 `source`만 전달됩니다. 인코딩 파이프라인이 범위, 카테고리, 중요도를 자동으로 추론합니다.
+
+<Note>
+`learn=True`는 Flow에 메모리가 사용 가능해야 합니다. Flow는 기본적으로 자동으로 메모리를 얻지만, `_skip_auto_memory`로 비활성화한 경우 HITL 학습은 조용히 건너뜁니다.
+</Note>
+
+
 ## 관련 문서
 
 - [Flow 개요](/ko/concepts/flows) - CrewAI Flow에 대해 알아보기
@@ -583,3 +694,4 @@ async def on_slack_feedback_async(flow_id: str, slack_message: str):
 - [Flow 영속성](/ko/concepts/flows#persistence) - Flow 상태 영속화
 - [@router를 사용한 라우팅](/ko/concepts/flows#router) - 조건부 라우팅에 대해 더 알아보기
 - [실행 시 인간 입력](/ko/learn/human-input-on-execution) - 태스크 수준 인간 입력
+- [메모리](/ko/concepts/memory) - HITL 학습에서 사용되는 통합 메모리 시스템

docs/pt-BR/enterprise/features/flow-hitl-management.mdx

@@ -38,22 +38,21 @@ O CrewAI Enterprise oferece um sistema abrangente de gerenciamento Human-in-the-
 Configure checkpoints de revisão humana em seus Flows usando o decorador `@human_feedback`. Quando a execução atinge um ponto de revisão, o sistema pausa, notifica o responsável via email e aguarda uma resposta.
 
 ```python
-from crewai.flow.flow import Flow, start, listen
+from crewai.flow.flow import Flow, start, listen, or_
 from crewai.flow.human_feedback import human_feedback, HumanFeedbackResult
 
 class ContentApprovalFlow(Flow):
     @start()
     def generate_content(self):
-        # IA gera conteúdo
         return "Texto de marketing gerado para campanha Q1..."
 
-    @listen(generate_content)
     @human_feedback(
         message="Por favor, revise este conteúdo para conformidade com a marca:",
         emit=["approved", "rejected", "needs_revision"],
     )
-    def review_content(self, content):
-        return content
+    @listen(or_("generate_content", "needs_revision"))
+    def review_content(self):
+        return "Texto de marketing para revisão..."
 
     @listen("approved")
     def publish_content(self, result: HumanFeedbackResult):
@@ -62,10 +61,6 @@ class ContentApprovalFlow(Flow):
     @listen("rejected")
     def archive_content(self, result: HumanFeedbackResult):
         print(f"Conteúdo rejeitado. Motivo: {result.feedback}")
-
-    @listen("needs_revision")
-    def revise_content(self, result: HumanFeedbackResult):
-        print(f"Revisão solicitada: {result.feedback}")
 ```
 
 Para detalhes completos de implementação, consulte o guia [Feedback Humano em Flows](/pt-BR/learn/human-feedback-in-flows).

docs/pt-BR/enterprise/integrations/google_contacts.mdx

@@ -200,6 +200,25 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
     - `clientData` (array, opcional): Dados específicos do cliente. Cada item é um objeto com `key` (string) e `value` (string).
 
   </Accordion>
+
+  <Accordion title="google_contacts/update_contact_group">
+    **Descrição:** Atualizar informações de um grupo de contatos.
+
+    **Parâmetros:**
+    - `resourceName` (string, obrigatório): O nome do recurso do grupo de contatos (ex: 'contactGroups/myContactGroup').
+    - `name` (string, obrigatório): O nome do grupo de contatos.
+    - `clientData` (array, opcional): Dados específicos do cliente. Cada item é um objeto com `key` (string) e `value` (string).
+
+  </Accordion>
+
+  <Accordion title="google_contacts/delete_contact_group">
+    **Descrição:** Excluir um grupo de contatos.
+
+    **Parâmetros:**
+    - `resourceName` (string, obrigatório): O nome do recurso do grupo de contatos a excluir (ex: 'contactGroups/myContactGroup').
+    - `deleteContacts` (boolean, opcional): Se os contatos do grupo também devem ser excluídos. Padrão: false
+
+  </Accordion>
 </AccordionGroup>
 
 ## Exemplos de Uso

docs/pt-BR/enterprise/integrations/google_docs.mdx

@@ -131,6 +131,297 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
     - `endIndex` (integer, obrigatório): O índice final do intervalo.
 
   </Accordion>
+
+  <Accordion title="google_docs/create_document_with_content">
+    **Descrição:** Criar um novo documento do Google com conteúdo em uma única ação.
+
+    **Parâmetros:**
+    - `title` (string, obrigatório): O título para o novo documento. Aparece no topo do documento e no Google Drive.
+    - `content` (string, opcional): O conteúdo de texto a inserir no documento. Use `\n` para novos parágrafos.
+
+  </Accordion>
+
+  <Accordion title="google_docs/append_text">
+    **Descrição:** Adicionar texto ao final de um documento do Google. Insere automaticamente no final do documento sem necessidade de especificar um índice.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento obtido da resposta de create_document ou URL.
+    - `text` (string, obrigatório): Texto a adicionar ao final do documento. Use `\n` para novos parágrafos.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_bold">
+    **Descrição:** Aplicar ou remover formatação de negrito em texto de um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do texto a formatar.
+    - `endIndex` (integer, obrigatório): Posição final do texto a formatar (exclusivo).
+    - `bold` (boolean, obrigatório): Defina `true` para aplicar negrito, `false` para remover negrito.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_italic">
+    **Descrição:** Aplicar ou remover formatação de itálico em texto de um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do texto a formatar.
+    - `endIndex` (integer, obrigatório): Posição final do texto a formatar (exclusivo).
+    - `italic` (boolean, obrigatório): Defina `true` para aplicar itálico, `false` para remover itálico.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_underline">
+    **Descrição:** Adicionar ou remover formatação de sublinhado em texto de um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do texto a formatar.
+    - `endIndex` (integer, obrigatório): Posição final do texto a formatar (exclusivo).
+    - `underline` (boolean, obrigatório): Defina `true` para sublinhar, `false` para remover sublinhado.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_strikethrough">
+    **Descrição:** Adicionar ou remover formatação de tachado em texto de um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do texto a formatar.
+    - `endIndex` (integer, obrigatório): Posição final do texto a formatar (exclusivo).
+    - `strikethrough` (boolean, obrigatório): Defina `true` para adicionar tachado, `false` para remover.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_font_size">
+    **Descrição:** Alterar o tamanho da fonte do texto em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do texto a formatar.
+    - `endIndex` (integer, obrigatório): Posição final do texto a formatar (exclusivo).
+    - `fontSize` (number, obrigatório): Tamanho da fonte em pontos. Tamanhos comuns: 10, 11, 12, 14, 16, 18, 24, 36.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_text_color">
+    **Descrição:** Alterar a cor do texto usando valores RGB (escala 0-1) em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do texto a formatar.
+    - `endIndex` (integer, obrigatório): Posição final do texto a formatar (exclusivo).
+    - `red` (number, obrigatório): Componente vermelho (0-1). Exemplo: `1` para vermelho total.
+    - `green` (number, obrigatório): Componente verde (0-1). Exemplo: `0.5` para metade verde.
+    - `blue` (number, obrigatório): Componente azul (0-1). Exemplo: `0` para sem azul.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_hyperlink">
+    **Descrição:** Transformar texto existente em um hyperlink clicável em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do texto a transformar em link.
+    - `endIndex` (integer, obrigatório): Posição final do texto a transformar em link (exclusivo).
+    - `url` (string, obrigatório): A URL para a qual o link deve apontar. Exemplo: `"https://example.com"`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/apply_heading_style">
+    **Descrição:** Aplicar um estilo de título ou parágrafo a um intervalo de texto em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do(s) parágrafo(s) a estilizar.
+    - `endIndex` (integer, obrigatório): Posição final do(s) parágrafo(s) a estilizar.
+    - `style` (string, obrigatório): O estilo a aplicar. Opções: `NORMAL_TEXT`, `TITLE`, `SUBTITLE`, `HEADING_1`, `HEADING_2`, `HEADING_3`, `HEADING_4`, `HEADING_5`, `HEADING_6`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_paragraph_alignment">
+    **Descrição:** Definir o alinhamento de texto para parágrafos em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do(s) parágrafo(s) a alinhar.
+    - `endIndex` (integer, obrigatório): Posição final do(s) parágrafo(s) a alinhar.
+    - `alignment` (string, obrigatório): Alinhamento do texto. Opções: `START` (esquerda), `CENTER`, `END` (direita), `JUSTIFIED`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/set_line_spacing">
+    **Descrição:** Definir o espaçamento entre linhas para parágrafos em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial do(s) parágrafo(s).
+    - `endIndex` (integer, obrigatório): Posição final do(s) parágrafo(s).
+    - `lineSpacing` (number, obrigatório): Espaçamento entre linhas como porcentagem. `100` = simples, `115` = 1.15x, `150` = 1.5x, `200` = duplo.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_paragraph_bullets">
+    **Descrição:** Converter parágrafos em uma lista com marcadores ou numerada em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial dos parágrafos a converter em lista.
+    - `endIndex` (integer, obrigatório): Posição final dos parágrafos a converter em lista.
+    - `bulletPreset` (string, obrigatório): Estilo de marcadores/numeração. Opções: `BULLET_DISC_CIRCLE_SQUARE`, `BULLET_DIAMONDX_ARROW3D_SQUARE`, `BULLET_CHECKBOX`, `BULLET_ARROW_DIAMOND_DISC`, `BULLET_STAR_CIRCLE_SQUARE`, `NUMBERED_DECIMAL_ALPHA_ROMAN`, `NUMBERED_DECIMAL_ALPHA_ROMAN_PARENS`, `NUMBERED_DECIMAL_NESTED`, `NUMBERED_UPPERALPHA_ALPHA_ROMAN`, `NUMBERED_UPPERROMAN_UPPERALPHA_DECIMAL`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_paragraph_bullets">
+    **Descrição:** Remover marcadores ou numeração de parágrafos em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `startIndex` (integer, obrigatório): Posição inicial dos parágrafos de lista.
+    - `endIndex` (integer, obrigatório): Posição final dos parágrafos de lista.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_with_content">
+    **Descrição:** Inserir uma tabela com conteúdo em um documento do Google em uma única ação. Forneça o conteúdo como um array 2D.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `rows` (integer, obrigatório): Número de linhas na tabela.
+    - `columns` (integer, obrigatório): Número de colunas na tabela.
+    - `index` (integer, opcional): Posição para inserir a tabela. Se não fornecido, a tabela é inserida no final do documento.
+    - `content` (array, obrigatório): Conteúdo da tabela como um array 2D. Cada array interno é uma linha. Exemplo: `[["Ano", "Receita"], ["2023", "$43B"], ["2024", "$45B"]]`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_row">
+    **Descrição:** Inserir uma nova linha acima ou abaixo de uma célula de referência em uma tabela existente.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `tableStartIndex` (integer, obrigatório): O índice inicial da tabela. Obtenha de get_document.
+    - `rowIndex` (integer, obrigatório): Índice da linha (baseado em 0) da célula de referência.
+    - `columnIndex` (integer, opcional): Índice da coluna (baseado em 0) da célula de referência. Padrão: `0`.
+    - `insertBelow` (boolean, opcional): Se `true`, insere abaixo da linha de referência. Se `false`, insere acima. Padrão: `true`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_table_column">
+    **Descrição:** Inserir uma nova coluna à esquerda ou à direita de uma célula de referência em uma tabela existente.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `tableStartIndex` (integer, obrigatório): O índice inicial da tabela.
+    - `rowIndex` (integer, opcional): Índice da linha (baseado em 0) da célula de referência. Padrão: `0`.
+    - `columnIndex` (integer, obrigatório): Índice da coluna (baseado em 0) da célula de referência.
+    - `insertRight` (boolean, opcional): Se `true`, insere à direita. Se `false`, insere à esquerda. Padrão: `true`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_table_row">
+    **Descrição:** Excluir uma linha de uma tabela existente em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `tableStartIndex` (integer, obrigatório): O índice inicial da tabela.
+    - `rowIndex` (integer, obrigatório): Índice da linha (baseado em 0) a excluir.
+    - `columnIndex` (integer, opcional): Índice da coluna (baseado em 0) de qualquer célula na linha. Padrão: `0`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_table_column">
+    **Descrição:** Excluir uma coluna de uma tabela existente em um documento do Google.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `tableStartIndex` (integer, obrigatório): O índice inicial da tabela.
+    - `rowIndex` (integer, opcional): Índice da linha (baseado em 0) de qualquer célula na coluna. Padrão: `0`.
+    - `columnIndex` (integer, obrigatório): Índice da coluna (baseado em 0) a excluir.
+
+  </Accordion>
+
+  <Accordion title="google_docs/merge_table_cells">
+    **Descrição:** Mesclar um intervalo de células de tabela em uma única célula. O conteúdo de todas as células é preservado.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `tableStartIndex` (integer, obrigatório): O índice inicial da tabela.
+    - `rowIndex` (integer, obrigatório): Índice da linha inicial (baseado em 0) para a mesclagem.
+    - `columnIndex` (integer, obrigatório): Índice da coluna inicial (baseado em 0) para a mesclagem.
+    - `rowSpan` (integer, obrigatório): Número de linhas a mesclar.
+    - `columnSpan` (integer, obrigatório): Número de colunas a mesclar.
+
+  </Accordion>
+
+  <Accordion title="google_docs/unmerge_table_cells">
+    **Descrição:** Desfazer a mesclagem de células de tabela previamente mescladas, retornando-as a células individuais.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `tableStartIndex` (integer, obrigatório): O índice inicial da tabela.
+    - `rowIndex` (integer, obrigatório): Índice da linha (baseado em 0) da célula mesclada.
+    - `columnIndex` (integer, obrigatório): Índice da coluna (baseado em 0) da célula mesclada.
+    - `rowSpan` (integer, obrigatório): Número de linhas que a célula mesclada abrange.
+    - `columnSpan` (integer, obrigatório): Número de colunas que a célula mesclada abrange.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_inline_image">
+    **Descrição:** Inserir uma imagem de uma URL pública em um documento do Google. A imagem deve ser publicamente acessível, ter menos de 50MB e estar no formato PNG/JPEG/GIF.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `uri` (string, obrigatório): URL pública da imagem. Deve ser acessível sem autenticação.
+    - `index` (integer, opcional): Posição para inserir a imagem. Se não fornecido, a imagem é inserida no final do documento. Padrão: `1`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/insert_section_break">
+    **Descrição:** Inserir uma quebra de seção para criar seções de documento com formatação diferente.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `index` (integer, obrigatório): Posição para inserir a quebra de seção.
+    - `sectionType` (string, obrigatório): O tipo de quebra de seção. Opções: `CONTINUOUS` (permanece na mesma página), `NEXT_PAGE` (inicia uma nova página).
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_header">
+    **Descrição:** Criar um cabeçalho para o documento. Retorna um headerId que pode ser usado com insert_text para adicionar conteúdo ao cabeçalho.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `type` (string, opcional): Tipo de cabeçalho. Opções: `DEFAULT`. Padrão: `DEFAULT`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/create_footer">
+    **Descrição:** Criar um rodapé para o documento. Retorna um footerId que pode ser usado com insert_text para adicionar conteúdo ao rodapé.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `type` (string, opcional): Tipo de rodapé. Opções: `DEFAULT`. Padrão: `DEFAULT`.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_header">
+    **Descrição:** Excluir um cabeçalho do documento. Use get_document para encontrar o headerId.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `headerId` (string, obrigatório): O ID do cabeçalho a excluir. Obtenha da resposta de get_document.
+
+  </Accordion>
+
+  <Accordion title="google_docs/delete_footer">
+    **Descrição:** Excluir um rodapé do documento. Use get_document para encontrar o footerId.
+
+    **Parâmetros:**
+    - `documentId` (string, obrigatório): O ID do documento.
+    - `footerId` (string, obrigatório): O ID do rodapé a excluir. Obtenha da resposta de get_document.
+
+  </Accordion>
 </AccordionGroup>
 
 ## Exemplos de Uso

docs/pt-BR/enterprise/integrations/google_slides.mdx

@@ -61,6 +61,22 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/get_presentation_metadata">
+    **Descrição:** Obter metadados leves de uma apresentação (título, número de slides, IDs dos slides). Use isso primeiro antes de recuperar o conteúdo completo.
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação a ser recuperada.
+
+  </Accordion>
+
+  <Accordion title="google_slides/get_presentation_text">
+    **Descrição:** Extrair todo o conteúdo de texto de uma apresentação. Retorna IDs dos slides e texto de formas e tabelas apenas (sem formatação).
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+
+  </Accordion>
+
   <Accordion title="google_slides/get_presentation">
     **Descrição:** Recupera uma apresentação por ID.
 
@@ -80,6 +96,15 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/get_slide_text">
+    **Descrição:** Extrair conteúdo de texto de um único slide. Retorna apenas texto de formas e tabelas (sem formatação ou estilo).
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `pageObjectId` (string, obrigatório): O ID do slide/página para obter o texto.
+
+  </Accordion>
+
   <Accordion title="google_slides/get_page">
     **Descrição:** Recupera uma página específica por seu ID.
 
@@ -98,6 +123,120 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
 
   </Accordion>
 
+  <Accordion title="google_slides/create_slide">
+    **Descrição:** Adicionar um slide em branco adicional a uma apresentação. Novas apresentações já possuem um slide em branco - verifique get_presentation_metadata primeiro. Para slides com áreas de título/corpo, use create_slide_with_layout.
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `insertionIndex` (integer, opcional): Onde inserir o slide (baseado em 0). Se omitido, adiciona no final.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_slide_with_layout">
+    **Descrição:** Criar um slide com layout predefinido contendo áreas de espaço reservado para título, corpo, etc. Melhor que create_slide para conteúdo estruturado. Após criar, use get_page para encontrar os IDs de espaço reservado, depois insira texto neles.
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `layout` (string, obrigatório): Tipo de layout. Um de: `BLANK`, `TITLE`, `TITLE_AND_BODY`, `TITLE_AND_TWO_COLUMNS`, `TITLE_ONLY`, `SECTION_HEADER`, `ONE_COLUMN_TEXT`, `MAIN_POINT`, `BIG_NUMBER`. TITLE_AND_BODY é melhor para título+descrição. TITLE para slides apenas com título. SECTION_HEADER para divisores de seção.
+    - `insertionIndex` (integer, opcional): Onde inserir (baseado em 0). Se omitido, adiciona no final.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_text_box">
+    **Descrição:** Criar uma caixa de texto em um slide com conteúdo. Use para títulos, descrições, parágrafos - não para tabelas. Opcionalmente especifique posição (x, y) e tamanho (width, height) em unidades EMU (914400 EMU = 1 polegada).
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideId` (string, obrigatório): O ID do slide para adicionar a caixa de texto.
+    - `text` (string, obrigatório): O conteúdo de texto da caixa de texto.
+    - `x` (integer, opcional): Posição X em EMU (914400 = 1 polegada). Padrão: 914400 (1 polegada da esquerda).
+    - `y` (integer, opcional): Posição Y em EMU (914400 = 1 polegada). Padrão: 914400 (1 polegada do topo).
+    - `width` (integer, opcional): Largura em EMU. Padrão: 7315200 (~8 polegadas).
+    - `height` (integer, opcional): Altura em EMU. Padrão: 914400 (~1 polegada).
+
+  </Accordion>
+
+  <Accordion title="google_slides/delete_slide">
+    **Descrição:** Remover um slide de uma apresentação. Use get_presentation primeiro para encontrar o ID do slide.
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideId` (string, obrigatório): O ID do objeto do slide a excluir. Obtenha de get_presentation.
+
+  </Accordion>
+
+  <Accordion title="google_slides/duplicate_slide">
+    **Descrição:** Criar uma cópia de um slide existente. A duplicata é inserida imediatamente após o original.
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideId` (string, obrigatório): O ID do objeto do slide a duplicar. Obtenha de get_presentation.
+
+  </Accordion>
+
+  <Accordion title="google_slides/move_slides">
+    **Descrição:** Reordenar slides movendo-os para uma nova posição. Os IDs dos slides devem estar na ordem atual da apresentação (sem duplicatas).
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideIds` (array de strings, obrigatório): Array de IDs dos slides a mover. Obrigatoriamente na ordem atual da apresentação.
+    - `insertionIndex` (integer, obrigatório): Posição de destino (baseado em 0). 0 = início, número de slides = final.
+
+  </Accordion>
+
+  <Accordion title="google_slides/insert_youtube_video">
+    **Descrição:** Incorporar um vídeo do YouTube em um slide. O ID do vídeo é o valor após "v=" nas URLs do YouTube (ex: para youtube.com/watch?v=abc123, use "abc123").
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideId` (string, obrigatório): O ID do slide para adicionar o vídeo. Obtenha de get_presentation.
+    - `videoId` (string, obrigatório): O ID do vídeo do YouTube (o valor após v= na URL).
+
+  </Accordion>
+
+  <Accordion title="google_slides/insert_drive_video">
+    **Descrição:** Incorporar um vídeo do Google Drive em um slide. O ID do arquivo pode ser encontrado na URL do arquivo no Drive.
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideId` (string, obrigatório): O ID do slide para adicionar o vídeo. Obtenha de get_presentation.
+    - `fileId` (string, obrigatório): O ID do arquivo do Google Drive do vídeo.
+
+  </Accordion>
+
+  <Accordion title="google_slides/set_slide_background_image">
+    **Descrição:** Definir uma imagem de fundo para um slide. A URL da imagem deve ser publicamente acessível.
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideId` (string, obrigatório): O ID do slide para definir o fundo. Obtenha de get_presentation.
+    - `imageUrl` (string, obrigatório): URL publicamente acessível da imagem a usar como fundo.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_table">
+    **Descrição:** Criar uma tabela vazia em um slide. Para criar uma tabela com conteúdo, use create_table_with_content.
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideId` (string, obrigatório): O ID do slide para adicionar a tabela. Obtenha de get_presentation.
+    - `rows` (integer, obrigatório): Número de linhas na tabela.
+    - `columns` (integer, obrigatório): Número de colunas na tabela.
+
+  </Accordion>
+
+  <Accordion title="google_slides/create_table_with_content">
+    **Descrição:** Criar uma tabela com conteúdo em uma única ação. Forneça o conteúdo como uma matriz 2D onde cada array interno é uma linha. Exemplo: [["Cabeçalho1", "Cabeçalho2"], ["Linha1Col1", "Linha1Col2"]].
+
+    **Parâmetros:**
+    - `presentationId` (string, obrigatório): O ID da apresentação.
+    - `slideId` (string, obrigatório): O ID do slide para adicionar a tabela. Obtenha de get_presentation.
+    - `rows` (integer, obrigatório): Número de linhas na tabela.
+    - `columns` (integer, obrigatório): Número de colunas na tabela.
+    - `content` (array, obrigatório): Conteúdo da tabela como matriz 2D. Cada array interno é uma linha. Exemplo: [["Ano", "Receita"], ["2023", "$10M"]].
+
+  </Accordion>
+
   <Accordion title="google_slides/import_data_from_sheet">
     **Descrição:** Importa dados de uma planilha do Google para uma apresentação.
 

docs/pt-BR/enterprise/integrations/microsoft_excel.mdx

@@ -148,6 +148,16 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_excel/get_table_data">
+    **Descrição:** Obter dados de uma tabela específica em uma planilha do Excel.
+
+    **Parâmetros:**
+    - `file_id` (string, obrigatório): O ID do arquivo Excel.
+    - `worksheet_name` (string, obrigatório): Nome da planilha.
+    - `table_name` (string, obrigatório): Nome da tabela.
+
+  </Accordion>
+
   <Accordion title="microsoft_excel/create_chart">
     **Descrição:** Criar um gráfico em uma planilha do Excel.
 
@@ -180,6 +190,15 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_excel/get_used_range_metadata">
+    **Descrição:** Obter os metadados do intervalo usado (apenas dimensões, sem dados) de uma planilha do Excel.
+
+    **Parâmetros:**
+    - `file_id` (string, obrigatório): O ID do arquivo Excel.
+    - `worksheet_name` (string, obrigatório): Nome da planilha.
+
+  </Accordion>
+
   <Accordion title="microsoft_excel/list_charts">
     **Descrição:** Obter todos os gráficos em uma planilha do Excel.
 

docs/pt-BR/enterprise/integrations/microsoft_onedrive.mdx

@@ -150,6 +150,49 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
     - `item_id` (string, obrigatório): O ID do arquivo.
 
   </Accordion>
+
+  <Accordion title="microsoft_onedrive/list_files_by_path">
+    **Descrição:** Listar arquivos e pastas em um caminho específico do OneDrive.
+
+    **Parâmetros:**
+    - `folder_path` (string, obrigatório): O caminho da pasta (ex: 'Documents/Reports').
+    - `top` (integer, opcional): Número de itens a recuperar (máx 1000). Padrão: 50.
+    - `orderby` (string, opcional): Ordenar por campo (ex: "name asc", "lastModifiedDateTime desc"). Padrão: "name asc".
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_recent_files">
+    **Descrição:** Obter arquivos acessados recentemente no OneDrive.
+
+    **Parâmetros:**
+    - `top` (integer, opcional): Número de itens a recuperar (máx 200). Padrão: 25.
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_shared_with_me">
+    **Descrição:** Obter arquivos e pastas compartilhados com o usuário.
+
+    **Parâmetros:**
+    - `top` (integer, opcional): Número de itens a recuperar (máx 200). Padrão: 50.
+    - `orderby` (string, opcional): Ordenar por campo. Padrão: "name asc".
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/get_file_by_path">
+    **Descrição:** Obter informações sobre um arquivo ou pasta específica pelo caminho.
+
+    **Parâmetros:**
+    - `file_path` (string, obrigatório): O caminho do arquivo ou pasta (ex: 'Documents/report.docx').
+
+  </Accordion>
+
+  <Accordion title="microsoft_onedrive/download_file_by_path">
+    **Descrição:** Baixar um arquivo do OneDrive pelo seu caminho.
+
+    **Parâmetros:**
+    - `file_path` (string, obrigatório): O caminho do arquivo (ex: 'Documents/report.docx').
+
+  </Accordion>
 </AccordionGroup>
 
 ## Exemplos de Uso

docs/pt-BR/enterprise/integrations/microsoft_outlook.mdx

@@ -132,6 +132,74 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
     - `companyName` (string, opcional): Nome da empresa do contato.
 
   </Accordion>
+
+  <Accordion title="microsoft_outlook/get_message">
+    **Descrição:** Obter uma mensagem de email específica por ID.
+
+    **Parâmetros:**
+    - `message_id` (string, obrigatório): O identificador único da mensagem. Obter pela ação get_messages.
+    - `select` (string, opcional): Lista separada por vírgulas de propriedades a retornar. Exemplo: "id,subject,body,from,receivedDateTime". Padrão: "id,subject,body,from,toRecipients,receivedDateTime".
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/reply_to_email">
+    **Descrição:** Responder a uma mensagem de email.
+
+    **Parâmetros:**
+    - `message_id` (string, obrigatório): O identificador único da mensagem a responder. Obter pela ação get_messages.
+    - `comment` (string, obrigatório): O conteúdo da mensagem de resposta. Pode ser texto simples ou HTML. A mensagem original será citada abaixo deste conteúdo.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/forward_email">
+    **Descrição:** Encaminhar uma mensagem de email.
+
+    **Parâmetros:**
+    - `message_id` (string, obrigatório): O identificador único da mensagem a encaminhar. Obter pela ação get_messages.
+    - `to_recipients` (array, obrigatório): Array de endereços de email dos destinatários. Exemplo: ["john@example.com", "jane@example.com"].
+    - `comment` (string, opcional): Mensagem opcional a incluir acima do conteúdo encaminhado. Pode ser texto simples ou HTML.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/mark_message_read">
+    **Descrição:** Marcar uma mensagem como lida ou não lida.
+
+    **Parâmetros:**
+    - `message_id` (string, obrigatório): O identificador único da mensagem. Obter pela ação get_messages.
+    - `is_read` (boolean, obrigatório): Definir como true para marcar como lida, false para marcar como não lida.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/delete_message">
+    **Descrição:** Excluir uma mensagem de email.
+
+    **Parâmetros:**
+    - `message_id` (string, obrigatório): O identificador único da mensagem a excluir. Obter pela ação get_messages.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/update_event">
+    **Descrição:** Atualizar um evento de calendário existente.
+
+    **Parâmetros:**
+    - `event_id` (string, obrigatório): O identificador único do evento. Obter pela ação get_calendar_events.
+    - `subject` (string, opcional): Novo assunto/título do evento.
+    - `start_time` (string, opcional): Nova hora de início no formato ISO 8601 (ex: "2024-01-20T10:00:00"). OBRIGATÓRIO: Também deve fornecer start_timezone ao usar este campo.
+    - `start_timezone` (string, opcional): Fuso horário da hora de início. OBRIGATÓRIO ao atualizar start_time. Exemplos: "Pacific Standard Time", "Eastern Standard Time", "UTC".
+    - `end_time` (string, opcional): Nova hora de término no formato ISO 8601. OBRIGATÓRIO: Também deve fornecer end_timezone ao usar este campo.
+    - `end_timezone` (string, opcional): Fuso horário da hora de término. OBRIGATÓRIO ao atualizar end_time. Exemplos: "Pacific Standard Time", "Eastern Standard Time", "UTC".
+    - `location` (string, opcional): Novo local do evento.
+    - `body` (string, opcional): Novo corpo/descrição do evento. Suporta formatação HTML.
+
+  </Accordion>
+
+  <Accordion title="microsoft_outlook/delete_event">
+    **Descrição:** Excluir um evento de calendário.
+
+    **Parâmetros:**
+    - `event_id` (string, obrigatório): O identificador único do evento a excluir. Obter pela ação get_calendar_events.
+
+  </Accordion>
 </AccordionGroup>
 
 ## Exemplos de Uso

docs/pt-BR/enterprise/integrations/microsoft_sharepoint.mdx

@@ -77,6 +77,17 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
 
   </Accordion>
 
+  <Accordion title="microsoft_sharepoint/get_drives">
+    **Descrição:** Listar todas as bibliotecas de documentos (drives) em um site do SharePoint. Use isto para descobrir bibliotecas disponíveis antes de usar operações de arquivo.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `top` (integer, opcional): Número máximo de drives a retornar por página (1-999). Padrão: 100
+    - `skip_token` (string, opcional): Token de paginação de uma resposta anterior para buscar a próxima página de resultados.
+    - `select` (string, opcional): Lista de propriedades separadas por vírgula para retornar (ex: 'id,name,webUrl,driveType').
+
+  </Accordion>
+
   <Accordion title="microsoft_sharepoint/get_site_lists">
     **Descrição:** Obter todas as listas em um site do SharePoint.
 
@@ -145,20 +156,317 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
 
   </Accordion>
 
-  <Accordion title="microsoft_sharepoint/get_drive_items">
-    **Descrição:** Obter arquivos e pastas de uma biblioteca de documentos do SharePoint.
+  <Accordion title="microsoft_sharepoint/list_files">
+    **Descrição:** Recuperar arquivos e pastas de uma biblioteca de documentos do SharePoint. Por padrão, lista a pasta raiz, mas você pode navegar em subpastas fornecendo um folder_id.
 
     **Parâmetros:**
-    - `site_id` (string, obrigatório): O ID do site do SharePoint.
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `folder_id` (string, opcional): O ID da pasta para listar o conteúdo. Use 'root' para a pasta raiz, ou forneça um ID de pasta de uma chamada anterior de list_files. Padrão: 'root'
+    - `top` (integer, opcional): Número máximo de itens a retornar por página (1-1000). Padrão: 50
+    - `skip_token` (string, opcional): Token de paginação de uma resposta anterior para buscar a próxima página de resultados.
+    - `orderby` (string, opcional): Ordem de classificação dos resultados (ex: 'name asc', 'size desc', 'lastModifiedDateTime desc'). Padrão: 'name asc'
+    - `filter` (string, opcional): Filtro OData para restringir resultados (ex: 'file ne null' apenas para arquivos, 'folder ne null' apenas para pastas).
+    - `select` (string, opcional): Lista de campos separados por vírgula para retornar (ex: 'id,name,size,folder,file,webUrl,lastModifiedDateTime').
 
   </Accordion>
 
-  <Accordion title="microsoft_sharepoint/delete_drive_item">
-    **Descrição:** Excluir um arquivo ou pasta da biblioteca de documentos do SharePoint.
+  <Accordion title="microsoft_sharepoint/delete_file">
+    **Descrição:** Excluir um arquivo ou pasta de uma biblioteca de documentos do SharePoint. Para pastas, todo o conteúdo é excluído recursivamente. Os itens são movidos para a lixeira do site.
 
     **Parâmetros:**
-    - `site_id` (string, obrigatório): O ID do site do SharePoint.
-    - `item_id` (string, obrigatório): O ID do arquivo ou pasta a excluir.
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo ou pasta a excluir. Obtenha de list_files.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_files_by_path">
+    **Descrição:** Listar arquivos e pastas em uma pasta de biblioteca de documentos do SharePoint pelo caminho. Mais eficiente do que múltiplas chamadas list_files para navegação profunda.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `folder_path` (string, obrigatório): O caminho completo para a pasta sem barras iniciais/finais (ex: 'Documents', 'Reports/2024/Q1').
+    - `top` (integer, opcional): Número máximo de itens a retornar por página (1-1000). Padrão: 50
+    - `skip_token` (string, opcional): Token de paginação de uma resposta anterior para buscar a próxima página de resultados.
+    - `orderby` (string, opcional): Ordem de classificação dos resultados (ex: 'name asc', 'size desc'). Padrão: 'name asc'
+    - `select` (string, opcional): Lista de campos separados por vírgula para retornar (ex: 'id,name,size,folder,file,webUrl,lastModifiedDateTime').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/download_file">
+    **Descrição:** Baixar conteúdo bruto de um arquivo de uma biblioteca de documentos do SharePoint. Use apenas para arquivos de texto simples (.txt, .csv, .json). Para arquivos Excel, use as ações específicas de Excel. Para arquivos Word, use get_word_document_content.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo a baixar. Obtenha de list_files ou list_files_by_path.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_file_info">
+    **Descrição:** Recuperar metadados detalhados de um arquivo ou pasta específico em uma biblioteca de documentos do SharePoint, incluindo nome, tamanho, datas de criação/modificação e informações do autor.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo ou pasta. Obtenha de list_files ou list_files_by_path.
+    - `select` (string, opcional): Lista de propriedades separadas por vírgula para retornar (ex: 'id,name,size,createdDateTime,lastModifiedDateTime,webUrl,createdBy,lastModifiedBy').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_folder">
+    **Descrição:** Criar uma nova pasta em uma biblioteca de documentos do SharePoint. Por padrão, cria a pasta na raiz; use parent_id para criar subpastas.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `folder_name` (string, obrigatório): Nome para a nova pasta. Não pode conter: \ / : * ? " < > |
+    - `parent_id` (string, opcional): O ID da pasta pai. Use 'root' para a raiz da biblioteca de documentos, ou forneça um ID de pasta de list_files. Padrão: 'root'
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/search_files">
+    **Descrição:** Pesquisar arquivos e pastas em uma biblioteca de documentos do SharePoint por palavras-chave. Pesquisa nomes de arquivos, nomes de pastas e conteúdo de arquivos para documentos Office. Não use curingas ou caracteres especiais.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `query` (string, obrigatório): Palavras-chave de pesquisa (ex: 'relatório', 'orçamento 2024'). Curingas como *.txt não são suportados.
+    - `top` (integer, opcional): Número máximo de resultados a retornar por página (1-1000). Padrão: 50
+    - `skip_token` (string, opcional): Token de paginação de uma resposta anterior para buscar a próxima página de resultados.
+    - `select` (string, opcional): Lista de campos separados por vírgula para retornar (ex: 'id,name,size,folder,file,webUrl,lastModifiedDateTime').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/copy_file">
+    **Descrição:** Copiar um arquivo ou pasta para um novo local dentro do SharePoint. O item original permanece inalterado. A operação de cópia é assíncrona para arquivos grandes.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo ou pasta a copiar. Obtenha de list_files ou search_files.
+    - `destination_folder_id` (string, obrigatório): O ID da pasta de destino. Use 'root' para a pasta raiz, ou um ID de pasta de list_files.
+    - `new_name` (string, opcional): Novo nome para a cópia. Se não fornecido, o nome original é usado.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/move_file">
+    **Descrição:** Mover um arquivo ou pasta para um novo local dentro do SharePoint. O item é removido de sua localização original. Para pastas, todo o conteúdo é movido também.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo ou pasta a mover. Obtenha de list_files ou search_files.
+    - `destination_folder_id` (string, obrigatório): O ID da pasta de destino. Use 'root' para a pasta raiz, ou um ID de pasta de list_files.
+    - `new_name` (string, opcional): Novo nome para o item movido. Se não fornecido, o nome original é mantido.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_worksheets">
+    **Descrição:** Listar todas as planilhas (abas) em uma pasta de trabalho Excel armazenada em uma biblioteca de documentos do SharePoint. Use o nome da planilha retornado com outras ações de Excel.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `select` (string, opcional): Lista de propriedades separadas por vírgula para retornar (ex: 'id,name,position,visibility').
+    - `filter` (string, opcional): Expressão de filtro OData (ex: "visibility eq 'Visible'" para excluir planilhas ocultas).
+    - `top` (integer, opcional): Número máximo de planilhas a retornar. Mínimo: 1, Máximo: 999
+    - `orderby` (string, opcional): Ordem de classificação (ex: 'position asc' para retornar planilhas na ordem das abas).
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_excel_worksheet">
+    **Descrição:** Criar uma nova planilha (aba) em uma pasta de trabalho Excel armazenada em uma biblioteca de documentos do SharePoint. A nova planilha é adicionada no final da lista de abas.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `name` (string, obrigatório): Nome para a nova planilha. Máximo de 31 caracteres. Não pode conter: \ / * ? : [ ]. Deve ser único na pasta de trabalho.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_range_data">
+    **Descrição:** Recuperar valores de células de um intervalo específico em uma planilha Excel armazenada no SharePoint. Para ler todos os dados sem saber as dimensões, use get_excel_used_range em vez disso.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha (aba) para leitura. Obtenha de get_excel_worksheets. Sensível a maiúsculas e minúsculas.
+    - `range` (string, obrigatório): Intervalo de células em notação A1 (ex: 'A1:C10', 'A:C', '1:5', 'A1').
+    - `select` (string, opcional): Lista de propriedades separadas por vírgula para retornar (ex: 'address,values,formulas,numberFormat,text').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/update_excel_range_data">
+    **Descrição:** Escrever valores em um intervalo específico em uma planilha Excel armazenada no SharePoint. Sobrescreve o conteúdo existente das células. As dimensões do array de valores devem corresponder exatamente às dimensões do intervalo.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha (aba) a atualizar. Obtenha de get_excel_worksheets. Sensível a maiúsculas e minúsculas.
+    - `range` (string, obrigatório): Intervalo de células em notação A1 onde os valores serão escritos (ex: 'A1:C3' para um bloco 3x3).
+    - `values` (array, obrigatório): Array 2D de valores (linhas contendo células). Exemplo para A1:B2: [["Cabeçalho1", "Cabeçalho2"], ["Valor1", "Valor2"]]. Use null para limpar uma célula.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_used_range_metadata">
+    **Descrição:** Retornar apenas os metadados (endereço e dimensões) do intervalo utilizado em uma planilha, sem os valores reais das células. Ideal para arquivos grandes para entender o tamanho da planilha antes de ler dados em blocos.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha (aba) para leitura. Obtenha de get_excel_worksheets. Sensível a maiúsculas e minúsculas.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_used_range">
+    **Descrição:** Recuperar todas as células contendo dados em uma planilha armazenada no SharePoint. Não use para arquivos maiores que 2MB. Para arquivos grandes, use get_excel_used_range_metadata primeiro, depois get_excel_range_data para ler em blocos menores.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha (aba) para leitura. Obtenha de get_excel_worksheets. Sensível a maiúsculas e minúsculas.
+    - `select` (string, opcional): Lista de propriedades separadas por vírgula para retornar (ex: 'address,values,formulas,numberFormat,text,rowCount,columnCount').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_cell">
+    **Descrição:** Recuperar o valor de uma única célula por índice de linha e coluna de um arquivo Excel no SharePoint. Os índices são baseados em 0 (linha 0 = linha 1 do Excel, coluna 0 = coluna A).
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha (aba). Obtenha de get_excel_worksheets. Sensível a maiúsculas e minúsculas.
+    - `row` (integer, obrigatório): Índice de linha baseado em 0 (linha 0 = linha 1 do Excel). Intervalo válido: 0-1048575
+    - `column` (integer, obrigatório): Índice de coluna baseado em 0 (coluna 0 = A, coluna 1 = B). Intervalo válido: 0-16383
+    - `select` (string, opcional): Lista de propriedades separadas por vírgula para retornar (ex: 'address,values,formulas,numberFormat,text').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/add_excel_table">
+    **Descrição:** Converter um intervalo de células em uma tabela Excel formatada com recursos de filtragem, classificação e dados estruturados. Tabelas habilitam add_excel_table_row para adicionar dados.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha contendo o intervalo de dados. Obtenha de get_excel_worksheets.
+    - `range` (string, obrigatório): Intervalo de células para converter em tabela, incluindo cabeçalhos e dados (ex: 'A1:D10' onde A1:D1 contém cabeçalhos de coluna).
+    - `has_headers` (boolean, opcional): Defina como true se a primeira linha contém cabeçalhos de coluna. Padrão: true
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_tables">
+    **Descrição:** Listar todas as tabelas em uma planilha Excel específica armazenada no SharePoint. Retorna propriedades da tabela incluindo id, name, showHeaders e showTotals.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha para obter tabelas. Obtenha de get_excel_worksheets.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/add_excel_table_row">
+    **Descrição:** Adicionar uma nova linha ao final de uma tabela Excel em um arquivo do SharePoint. O array de valores deve ter o mesmo número de elementos que o número de colunas da tabela.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha contendo a tabela. Obtenha de get_excel_worksheets.
+    - `table_name` (string, obrigatório): Nome da tabela para adicionar a linha (ex: 'Table1'). Obtenha de get_excel_tables. Sensível a maiúsculas e minúsculas.
+    - `values` (array, obrigatório): Array de valores de células para a nova linha, um por coluna na ordem da tabela (ex: ["João Silva", "joao@exemplo.com", 25]).
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_excel_table_data">
+    **Descrição:** Obter todas as linhas de uma tabela Excel em um arquivo do SharePoint como um intervalo de dados. Mais fácil do que get_excel_range_data ao trabalhar com tabelas estruturadas, pois não é necessário saber o intervalo exato.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha contendo a tabela. Obtenha de get_excel_worksheets.
+    - `table_name` (string, obrigatório): Nome da tabela para obter dados (ex: 'Table1'). Obtenha de get_excel_tables. Sensível a maiúsculas e minúsculas.
+    - `select` (string, opcional): Lista de propriedades separadas por vírgula para retornar (ex: 'address,values,formulas,numberFormat,text').
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/create_excel_chart">
+    **Descrição:** Criar uma visualização de gráfico em uma planilha Excel armazenada no SharePoint a partir de um intervalo de dados. O gráfico é incorporado na planilha.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha onde o gráfico será criado. Obtenha de get_excel_worksheets.
+    - `chart_type` (string, obrigatório): Tipo de gráfico (ex: 'ColumnClustered', 'ColumnStacked', 'Line', 'LineMarkers', 'Pie', 'Bar', 'BarClustered', 'Area', 'Scatter', 'Doughnut').
+    - `source_data` (string, obrigatório): Intervalo de dados para o gráfico em notação A1, incluindo cabeçalhos (ex: 'A1:B10').
+    - `series_by` (string, opcional): Como as séries de dados são organizadas: 'Auto', 'Columns' ou 'Rows'. Padrão: 'Auto'
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_excel_charts">
+    **Descrição:** Listar todos os gráficos incorporados em uma planilha Excel armazenada no SharePoint. Retorna propriedades do gráfico incluindo id, name, chartType, height, width e position.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha para listar gráficos. Obtenha de get_excel_worksheets.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/delete_excel_worksheet">
+    **Descrição:** Remover permanentemente uma planilha (aba) e todo seu conteúdo de uma pasta de trabalho Excel armazenada no SharePoint. Não pode ser desfeito. Uma pasta de trabalho deve ter pelo menos uma planilha.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha a excluir. Sensível a maiúsculas e minúsculas. Todos os dados, tabelas e gráficos nesta planilha serão permanentemente removidos.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/delete_excel_table">
+    **Descrição:** Remover uma tabela de uma planilha Excel no SharePoint. Isto exclui a estrutura da tabela (filtragem, formatação, recursos de tabela) mas preserva os dados subjacentes das células.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+    - `worksheet_name` (string, obrigatório): Nome da planilha contendo a tabela. Obtenha de get_excel_worksheets.
+    - `table_name` (string, obrigatório): Nome da tabela a excluir (ex: 'Table1'). Obtenha de get_excel_tables. Os dados nas células permanecerão após a exclusão da tabela.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/list_excel_names">
+    **Descrição:** Recuperar todos os intervalos nomeados definidos em uma pasta de trabalho Excel armazenada no SharePoint. Intervalos nomeados são rótulos definidos pelo usuário para intervalos de células (ex: 'DadosVendas' para A1:D100).
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do arquivo Excel no SharePoint. Obtenha de list_files ou search_files.
+
+  </Accordion>
+
+  <Accordion title="microsoft_sharepoint/get_word_document_content">
+    **Descrição:** Baixar e extrair conteúdo de texto de um documento Word (.docx) armazenado em uma biblioteca de documentos do SharePoint. Esta é a maneira recomendada de ler documentos Word do SharePoint.
+
+    **Parâmetros:**
+    - `site_id` (string, obrigatório): O identificador completo do site SharePoint obtido de get_sites.
+    - `drive_id` (string, obrigatório): O ID da biblioteca de documentos. Chame get_drives primeiro para obter IDs de drive válidos.
+    - `item_id` (string, obrigatório): O identificador único do documento Word (.docx) no SharePoint. Obtenha de list_files ou search_files.
 
   </Accordion>
 </AccordionGroup>

docs/pt-BR/enterprise/integrations/microsoft_teams.mdx

@@ -107,6 +107,86 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
     - `join_web_url` (string, obrigatório): A URL de participação na web da reunião a pesquisar.
 
   </Accordion>
+
+  <Accordion title="microsoft_teams/search_online_meetings_by_meeting_id">
+    **Descrição:** Pesquisar reuniões online por ID externo da reunião.
+
+    **Parâmetros:**
+    - `join_meeting_id` (string, obrigatório): O ID da reunião (código numérico) que os participantes usam para entrar. É o joinMeetingId exibido nos convites da reunião, não o meeting id da API Graph.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_meeting">
+    **Descrição:** Obter detalhes de uma reunião online específica.
+
+    **Parâmetros:**
+    - `meeting_id` (string, obrigatório): O ID da reunião na API Graph (string alfanumérica longa). Obter pelas ações create_meeting ou search_online_meetings. Diferente do joinMeetingId numérico.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_team_members">
+    **Descrição:** Obter membros de uma equipe específica.
+
+    **Parâmetros:**
+    - `team_id` (string, obrigatório): O identificador único da equipe. Obter pela ação get_teams.
+    - `top` (integer, opcional): Número máximo de membros a recuperar por página (1-999). Padrão: 100.
+    - `skip_token` (string, opcional): Token de paginação de uma resposta anterior. Quando a resposta incluir @odata.nextLink, extraia o valor do parâmetro $skiptoken e passe aqui para obter a próxima página de resultados.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/create_channel">
+    **Descrição:** Criar um novo canal em uma equipe.
+
+    **Parâmetros:**
+    - `team_id` (string, obrigatório): O identificador único da equipe. Obter pela ação get_teams.
+    - `display_name` (string, obrigatório): Nome do canal exibido no Teams. Deve ser único na equipe. Máx 50 caracteres.
+    - `description` (string, opcional): Descrição opcional explicando o propósito do canal. Visível nos detalhes do canal. Máx 1024 caracteres.
+    - `membership_type` (string, opcional): Visibilidade do canal. Opções: standard, private. "standard" = visível para todos os membros da equipe, "private" = visível apenas para membros adicionados especificamente. Padrão: standard.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/get_message_replies">
+    **Descrição:** Obter respostas a uma mensagem específica em um canal.
+
+    **Parâmetros:**
+    - `team_id` (string, obrigatório): O identificador único da equipe. Obter pela ação get_teams.
+    - `channel_id` (string, obrigatório): O identificador único do canal. Obter pela ação get_channels.
+    - `message_id` (string, obrigatório): O identificador único da mensagem pai. Obter pela ação get_messages.
+    - `top` (integer, opcional): Número máximo de respostas a recuperar por página (1-50). Padrão: 50.
+    - `skip_token` (string, opcional): Token de paginação de uma resposta anterior. Quando a resposta incluir @odata.nextLink, extraia o valor do parâmetro $skiptoken e passe aqui para obter a próxima página de resultados.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/reply_to_message">
+    **Descrição:** Responder a uma mensagem em um canal do Teams.
+
+    **Parâmetros:**
+    - `team_id` (string, obrigatório): O identificador único da equipe. Obter pela ação get_teams.
+    - `channel_id` (string, obrigatório): O identificador único do canal. Obter pela ação get_channels.
+    - `message_id` (string, obrigatório): O identificador único da mensagem a responder. Obter pela ação get_messages.
+    - `message` (string, obrigatório): O conteúdo da resposta. Para HTML, inclua tags de formatação. Para texto, use apenas texto simples.
+    - `content_type` (string, opcional): Formato do conteúdo. Opções: html, text. "text" para texto simples, "html" para texto rico com formatação. Padrão: text.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/update_meeting">
+    **Descrição:** Atualizar uma reunião online existente.
+
+    **Parâmetros:**
+    - `meeting_id` (string, obrigatório): O identificador único da reunião. Obter pelas ações create_meeting ou search_online_meetings.
+    - `subject` (string, opcional): Novo título da reunião.
+    - `startDateTime` (string, opcional): Nova hora de início no formato ISO 8601 com fuso horário. Exemplo: "2024-01-20T10:00:00-08:00".
+    - `endDateTime` (string, opcional): Nova hora de término no formato ISO 8601 com fuso horário.
+
+  </Accordion>
+
+  <Accordion title="microsoft_teams/delete_meeting">
+    **Descrição:** Excluir uma reunião online.
+
+    **Parâmetros:**
+    - `meeting_id` (string, obrigatório): O identificador único da reunião a excluir. Obter pelas ações create_meeting ou search_online_meetings.
+
+  </Accordion>
 </AccordionGroup>
 
 ## Exemplos de Uso

docs/pt-BR/enterprise/integrations/microsoft_word.mdx

@@ -97,6 +97,26 @@ CREWAI_PLATFORM_INTEGRATION_TOKEN=seu_enterprise_token
     - `file_id` (string, obrigatório): O ID do documento a excluir.
 
   </Accordion>
+
+  <Accordion title="microsoft_word/copy_document">
+    **Descrição:** Copiar um documento para um novo local no OneDrive.
+
+    **Parâmetros:**
+    - `file_id` (string, obrigatório): O ID do documento a copiar.
+    - `name` (string, opcional): Novo nome para o documento copiado.
+    - `parent_id` (string, opcional): O ID da pasta de destino (padrão: raiz).
+
+  </Accordion>
+
+  <Accordion title="microsoft_word/move_document">
+    **Descrição:** Mover um documento para um novo local no OneDrive.
+
+    **Parâmetros:**
+    - `file_id` (string, obrigatório): O ID do documento a mover.
+    - `parent_id` (string, obrigatório): O ID da pasta de destino.
+    - `name` (string, opcional): Novo nome para o documento movido.
+
+  </Accordion>
 </AccordionGroup>
 
 ## Exemplos de Uso

docs/pt-BR/learn/human-feedback-in-flows.mdx

@@ -73,6 +73,8 @@ Quando este flow é executado, ele irá:
 | `default_outcome` | `str` | Não | Outcome a usar se nenhum feedback for fornecido. Deve estar em `emit` |
 | `metadata` | `dict` | Não | Dados adicionais para integrações enterprise |
 | `provider` | `HumanFeedbackProvider` | Não | Provider customizado para feedback assíncrono/não-bloqueante. Veja [Feedback Humano Assíncrono](#feedback-humano-assíncrono-não-bloqueante) |
+| `learn` | `bool` | Não | Habilitar aprendizado HITL: destila lições do feedback e pré-revisa saídas futuras. Padrão `False`. Veja [Aprendendo com Feedback](#aprendendo-com-feedback) |
+| `learn_limit` | `int` | Não | Máximo de lições passadas para recuperar na pré-revisão. Padrão `5` |
 
 ### Uso Básico (Sem Roteamento)
 
@@ -96,33 +98,43 @@ def handle_feedback(self, result):
 Quando você especifica `emit`, o decorador se torna um roteador. O feedback livre do humano é interpretado por um LLM e mapeado para um dos outcomes especificados:
 
 ```python Code
-@start()
-@human_feedback(
-    message="Você aprova este conteúdo para publicação?",
-    emit=["approved", "rejected", "needs_revision"],
-    llm="gpt-4o-mini",
-    default_outcome="needs_revision",
-)
-def review_content(self):
-    return "Rascunho do post do blog aqui..."
+from crewai.flow.flow import Flow, start, listen, or_
+from crewai.flow.human_feedback import human_feedback
 
-@listen("approved")
-def publish(self, result):
-    print(f"Publicando! Usuário disse: {result.feedback}")
+class ReviewFlow(Flow):
+    @start()
+    def generate_content(self):
+        return "Rascunho do post do blog aqui..."
 
-@listen("rejected")
-def discard(self, result):
-    print(f"Descartando. Motivo: {result.feedback}")
+    @human_feedback(
+        message="Você aprova este conteúdo para publicação?",
+        emit=["approved", "rejected", "needs_revision"],
+        llm="gpt-4o-mini",
+        default_outcome="needs_revision",
+    )
+    @listen(or_("generate_content", "needs_revision"))
+    def review_content(self):
+        return "Rascunho do post do blog aqui..."
 
-@listen("needs_revision")
-def revise(self, result):
-    print(f"Revisando baseado em: {result.feedback}")
+    @listen("approved")
+    def publish(self, result):
+        print(f"Publicando! Usuário disse: {result.feedback}")
+
+    @listen("rejected")
+    def discard(self, result):
+        print(f"Descartando. Motivo: {result.feedback}")
 ```
 
+Quando o humano diz algo como "precisa de mais detalhes", o LLM mapeia para `"needs_revision"`, que dispara `review_content` novamente via `or_()` — criando um loop de revisão. O loop continua até que o outcome seja `"approved"` ou `"rejected"`.
+
 <Tip>
 O LLM usa saídas estruturadas (function calling) quando disponível para garantir que a resposta seja um dos seus outcomes especificados. Isso torna o roteamento confiável e previsível.
 </Tip>
 
+<Warning>
+Um método `@start()` só executa uma vez no início do flow. Se você precisa de um loop de revisão, separe o método start do método de revisão e use `@listen(or_("trigger", "revision_outcome"))` no método de revisão para habilitar o self-loop.
+</Warning>
+
 ## HumanFeedbackResult
 
 O dataclass `HumanFeedbackResult` contém todas as informações sobre uma interação de feedback humano:
@@ -191,116 +203,162 @@ Aqui está um exemplo completo implementando um fluxo de revisão e aprovação
 <CodeGroup>
 
 ```python Code
-from crewai.flow.flow import Flow, start, listen
+from crewai.flow.flow import Flow, start, listen, or_
 from crewai.flow.human_feedback import human_feedback, HumanFeedbackResult
 from pydantic import BaseModel
 
 
 class ContentState(BaseModel):
-    topic: str = ""
     draft: str = ""
-    final_content: str = ""
     revision_count: int = 0
+    status: str = "pending"
 
 
 class ContentApprovalFlow(Flow[ContentState]):
-    """Um flow que gera conteúdo e obtém aprovação humana."""
+    """Um flow que gera conteúdo e faz loop até o humano aprovar."""
 
     @start()
-    def get_topic(self):
-        self.state.topic = input("Sobre qual tópico devo escrever? ")
-        return self.state.topic
-
-    @listen(get_topic)
-    def generate_draft(self, topic):
-        # Em uso real, isso chamaria um LLM
-        self.state.draft = f"# {topic}\n\nEste é um rascunho sobre {topic}..."
+    def generate_draft(self):
+        self.state.draft = "# IA Segura\n\nEste é um rascunho sobre IA Segura..."
         return self.state.draft
 
-    @listen(generate_draft)
     @human_feedback(
-        message="Por favor, revise este rascunho. Responda 'approved', 'rejected', ou forneça feedback de revisão:",
+        message="Por favor, revise este rascunho. Aprove, rejeite ou descreva o que precisa mudar:",
         emit=["approved", "rejected", "needs_revision"],
         llm="gpt-4o-mini",
         default_outcome="needs_revision",
     )
-    def review_draft(self, draft):
-        return draft
+    @listen(or_("generate_draft", "needs_revision"))
+    def review_draft(self):
+        self.state.revision_count += 1
+        return f"{self.state.draft} (v{self.state.revision_count})"
 
     @listen("approved")
     def publish_content(self, result: HumanFeedbackResult):
-        self.state.final_content = result.output
-        print("\n✅ Conteúdo aprovado e publicado!")
-        print(f"Comentário do revisor: {result.feedback}")
+        self.state.status = "published"
+        print(f"Conteúdo aprovado e publicado! Revisor disse: {result.feedback}")
         return "published"
 
     @listen("rejected")
     def handle_rejection(self, result: HumanFeedbackResult):
-        print("\n❌ Conteúdo rejeitado")
-        print(f"Motivo: {result.feedback}")
+        self.state.status = "rejected"
+        print(f"Conteúdo rejeitado. Motivo: {result.feedback}")
         return "rejected"
 
-    @listen("needs_revision")
-    def revise_content(self, result: HumanFeedbackResult):
-        self.state.revision_count += 1
-        print(f"\n📝 Revisão #{self.state.revision_count} solicitada")
-        print(f"Feedback: {result.feedback}")
 
-        # Em um flow real, você pode voltar para generate_draft
-        # Para este exemplo, apenas reconhecemos
-        return "revision_requested"
-
-
-# Executar o flow
 flow = ContentApprovalFlow()
 result = flow.kickoff()
-print(f"\nFlow concluído. Revisões solicitadas: {flow.state.revision_count}")
+print(f"\nFlow finalizado. Status: {flow.state.status}, Revisões: {flow.state.revision_count}")
 ```
 
 ```text Output
-Sobre qual tópico devo escrever? Segurança em IA
+==================================================
+OUTPUT FOR REVIEW:
+==================================================
+# IA Segura
+
+Este é um rascunho sobre IA Segura... (v1)
+==================================================
+
+Por favor, revise este rascunho. Aprove, rejeite ou descreva o que precisa mudar:
+(Press Enter to skip, or type your feedback)
+
+Your feedback: Preciso de mais detalhes sobre segurança em IA.
 
 ==================================================
 OUTPUT FOR REVIEW:
 ==================================================
-# Segurança em IA
+# IA Segura
 
-Este é um rascunho sobre Segurança em IA...
+Este é um rascunho sobre IA Segura... (v2)
 ==================================================
 
-Por favor, revise este rascunho. Responda 'approved', 'rejected', ou forneça feedback de revisão:
+Por favor, revise este rascunho. Aprove, rejeite ou descreva o que precisa mudar:
 (Press Enter to skip, or type your feedback)
 
 Your feedback: Parece bom, aprovado!
 
-✅ Conteúdo aprovado e publicado!
-Comentário do revisor: Parece bom, aprovado!
+Conteúdo aprovado e publicado! Revisor disse: Parece bom, aprovado!
 
-Flow concluído. Revisões solicitadas: 0
+Flow finalizado. Status: published, Revisões: 2
 ```
 
 </CodeGroup>
 
 ## Combinando com Outros Decoradores
 
-O decorador `@human_feedback` funciona com outros decoradores de flow. Coloque-o como o decorador mais interno (mais próximo da função):
+O decorador `@human_feedback` funciona com `@start()`, `@listen()` e `or_()`. Ambas as ordens de decoradores funcionam — o framework propaga atributos em ambas as direções — mas os padrões recomendados são:
 
 ```python Code
-# Correto: @human_feedback é o mais interno (mais próximo da função)
+# Revisão única no início do flow (sem self-loop)
 @start()
-@human_feedback(message="Revise isto:")
+@human_feedback(message="Revise isto:", emit=["approved", "rejected"], llm="gpt-4o-mini")
 def my_start_method(self):
     return "content"
 
+# Revisão linear em um listener (sem self-loop)
 @listen(other_method)
-@human_feedback(message="Revise isto também:")
+@human_feedback(message="Revise isto também:", emit=["good", "bad"], llm="gpt-4o-mini")
 def my_listener(self, data):
     return f"processed: {data}"
+
+# Self-loop: revisão que pode voltar para revisões
+@human_feedback(message="Aprovar ou revisar?", emit=["approved", "revise"], llm="gpt-4o-mini")
+@listen(or_("upstream_method", "revise"))
+def review_with_loop(self):
+    return "content for review"
 ```
 
-<Tip>
-Coloque `@human_feedback` como o decorador mais interno (último/mais próximo da função) para que ele envolva o método diretamente e possa capturar o valor de retorno antes de passar para o sistema de flow.
-</Tip>
+### Padrão de self-loop
+
+Para criar um loop de revisão, o método de revisão deve escutar **ambos** um gatilho upstream e seu próprio outcome de revisão usando `or_()`:
+
+```python Code
+@start()
+def generate(self):
+    return "initial draft"
+
+@human_feedback(
+    message="Aprovar ou solicitar alterações?",
+    emit=["revise", "approved"],
+    llm="gpt-4o-mini",
+    default_outcome="approved",
+)
+@listen(or_("generate", "revise"))
+def review(self):
+    return "content"
+
+@listen("approved")
+def publish(self):
+    return "published"
+```
+
+Quando o outcome é `"revise"`, o flow roteia de volta para `review` (porque ele escuta `"revise"` via `or_()`). Quando o outcome é `"approved"`, o flow continua para `publish`. Isso funciona porque o engine de flow isenta roteadores da regra "fire once", permitindo que eles re-executem em cada iteração do loop.
+
+### Roteadores encadeados
+
+Um listener disparado pelo outcome de um roteador pode ser ele mesmo um roteador:
+
+```python Code
+@start()
+@human_feedback(message="Primeira revisão:", emit=["approved", "rejected"], llm="gpt-4o-mini")
+def draft(self):
+    return "draft content"
+
+@listen("approved")
+@human_feedback(message="Revisão final:", emit=["publish", "revise"], llm="gpt-4o-mini")
+def final_review(self, prev):
+    return "final content"
+
+@listen("publish")
+def on_publish(self, prev):
+    return "published"
+```
+
+### Limitações
+
+- **Métodos `@start()` executam uma vez**: Um método `@start()` não pode fazer self-loop. Se você precisa de um ciclo de revisão, use um método `@start()` separado como ponto de entrada e coloque o `@human_feedback` em um método `@listen()`.
+- **Sem `@start()` + `@listen()` no mesmo método**: Esta é uma restrição do framework de Flow. Um método é ou um ponto de início ou um listener, não ambos.
 
 ## Melhores Práticas
 
@@ -514,9 +572,9 @@ class ContentPipeline(Flow):
     @start()
     @human_feedback(
         message="Aprova este conteúdo para publicação?",
-        emit=["approved", "rejected", "needs_revision"],
+        emit=["approved", "rejected"],
         llm="gpt-4o-mini",
-        default_outcome="needs_revision",
+        default_outcome="rejected",
         provider=SlackNotificationProvider("#content-reviews"),
     )
     def generate_content(self):
@@ -532,11 +590,6 @@ class ContentPipeline(Flow):
         print(f"Arquivado. Motivo: {result.feedback}")
         return {"status": "archived"}
 
-    @listen("needs_revision")
-    def queue_revision(self, result):
-        print(f"Na fila para revisão: {result.feedback}")
-        return {"status": "revision_needed"}
-
 
 # Iniciando o flow (vai pausar e aguardar resposta do Slack)
 def start_content_pipeline():
@@ -576,6 +629,64 @@ Se você está usando um framework web assíncrono (FastAPI, aiohttp, Slack Bolt
 5. **Persistência automática**: O estado é automaticamente salvo quando `HumanFeedbackPending` é lançado e usa `SQLiteFlowPersistence` por padrão
 6. **Persistência customizada**: Passe uma instância de persistência customizada para `from_pending()` se necessário
 
+## Aprendendo com Feedback
+
+O parâmetro `learn=True` habilita um ciclo de feedback entre revisores humanos e o sistema de memória. Quando habilitado, o sistema melhora progressivamente suas saídas aprendendo com correções humanas anteriores.
+
+### Como Funciona
+
+1. **Após o feedback**: O LLM extrai lições generalizáveis da saída + feedback e as armazena na memória com `source="hitl"`. Se o feedback for apenas aprovação (ex: "parece bom"), nada é armazenado.
+2. **Antes da próxima revisão**: Lições HITL passadas são recuperadas da memória e aplicadas pelo LLM para melhorar a saída antes que o humano a veja.
+
+Com o tempo, o humano vê saídas pré-revisadas progressivamente melhores porque cada correção informa revisões futuras.
+
+### Exemplo
+
+```python Code
+class ArticleReviewFlow(Flow):
+    @start()
+    def generate_article(self):
+        return self.crew.kickoff(inputs={"topic": "AI Safety"}).raw
+
+    @human_feedback(
+        message="Revise este rascunho do artigo:",
+        emit=["approved", "needs_revision"],
+        llm="gpt-4o-mini",
+        learn=True,  # enable HITL learning
+    )
+    @listen(or_("generate_article", "needs_revision"))
+    def review_article(self):
+        return self.last_human_feedback.output if self.last_human_feedback else "article draft"
+
+    @listen("approved")
+    def publish(self):
+        print(f"Publishing: {self.last_human_feedback.output}")
+```
+
+**Primeira execução**: O humano vê a saída bruta e diz "Sempre inclua citações para afirmações factuais." A lição é destilada e armazenada na memória.
+
+**Segunda execução**: O sistema recupera a lição sobre citações, pré-revisa a saída para adicionar citações e então mostra a versão melhorada. O trabalho do humano muda de "corrigir tudo" para "identificar o que o sistema deixou passar."
+
+### Configuração
+
+| Parâmetro | Padrão | Descrição |
+|-----------|--------|-----------|
+| `learn` | `False` | Habilitar aprendizado HITL |
+| `learn_limit` | `5` | Máximo de lições passadas para recuperar na pré-revisão |
+
+### Decisões de Design Principais
+
+- **Mesmo LLM para tudo**: O parâmetro `llm` no decorador é compartilhado pelo mapeamento de outcome, destilação de lições e pré-revisão. Não é necessário configurar múltiplos modelos.
+- **Saída estruturada**: Tanto a destilação quanto a pré-revisão usam function calling com modelos Pydantic quando o LLM suporta, com fallback para parsing de texto caso contrário.
+- **Armazenamento não-bloqueante**: Lições são armazenadas via `remember_many()` que executa em uma thread em segundo plano -- o flow continua imediatamente.
+- **Degradação graciosa**: Se o LLM falhar durante a destilação, nada é armazenado. Se falhar durante a pré-revisão, a saída bruta é mostrada. Nenhuma falha bloqueia o flow.
+- **Sem escopo/categorias necessários**: Ao armazenar lições, apenas `source` é passado. O pipeline de codificação infere escopo, categorias e importância automaticamente.
+
+<Note>
+`learn=True` requer que o Flow tenha memória disponível. Flows obtêm memória automaticamente por padrão, mas se você a desabilitou com `_skip_auto_memory`, o aprendizado HITL será silenciosamente ignorado.
+</Note>
+
+
 ## Documentação Relacionada
 
 - [Visão Geral de Flows](/pt-BR/concepts/flows) - Aprenda sobre CrewAI Flows
@@ -583,3 +694,4 @@ Se você está usando um framework web assíncrono (FastAPI, aiohttp, Slack Bolt
 - [Persistência de Flows](/pt-BR/concepts/flows#persistence) - Persistindo estado de flows
 - [Roteamento com @router](/pt-BR/concepts/flows#router) - Mais sobre roteamento condicional
 - [Input Humano na Execução](/pt-BR/learn/human-input-on-execution) - Input humano no nível de task
+- [Memória](/pt-BR/concepts/memory) - O sistema unificado de memória usado pelo aprendizado HITL

lib/crewai-files/src/crewai_files/__init__.py

@@ -152,4 +152,4 @@ __all__ = [
     "wrap_file_source",
 ]
 
-__version__ = "1.9.2"
+__version__ = "1.9.3"

lib/crewai-tools/pyproject.toml

@@ -12,7 +12,7 @@ dependencies = [
     "pytube~=15.0.0",
     "requests~=2.32.5",
     "docker~=7.1.0",
-    "crewai==1.9.2",
+    "crewai==1.9.3",
     "lancedb~=0.5.4",
     "tiktoken~=0.8.0",
     "beautifulsoup4~=4.13.4",

lib/crewai-tools/src/crewai_tools/__init__.py

@@ -291,4 +291,4 @@ __all__ = [
     "ZapierActionTools",
 ]
 
-__version__ = "1.9.2"
+__version__ = "1.9.3"

lib/crewai-tools/src/crewai_tools/adapters/mcp_adapter.py

@@ -2,314 +2,96 @@
 
 from __future__ import annotations
 
-from collections.abc import Callable, Coroutine
+from collections.abc import Callable
 import logging
 from typing import TYPE_CHECKING, Any
 
 from crewai.tools import BaseTool
+from crewai.utilities.pydantic_schema_utils import create_model_from_schema
+from crewai.utilities.string_utils import sanitize_tool_name
+from pydantic import BaseModel
 
 from crewai_tools.adapters.tool_collection import ToolCollection
 
 
-logger = logging.getLogger(__name__)
-
 if TYPE_CHECKING:
     from mcp import StdioServerParameters
-    import mcp.types
+    from mcp.types import CallToolResult, TextContent, Tool
     from mcpadapt.core import MCPAdapt, ToolAdapter
 
 
+logger = logging.getLogger(__name__)
+
+
 try:
-    from typing import ForwardRef, Union
-
-    import jsonref
     from mcp import StdioServerParameters
-    import mcp.types
+    from mcp.types import CallToolResult, TextContent, Tool
     from mcpadapt.core import MCPAdapt, ToolAdapter
-    from pydantic import BaseModel, Field, create_model
 
-    MCP_AVAILABLE = True
-except ImportError:
-    MCP_AVAILABLE = False
+    class CrewAIToolAdapter(ToolAdapter):
+        """Adapter that creates CrewAI tools with properly normalized JSON schemas.
 
-
-JSON_TYPE_MAPPING: dict[str, type] = {
-    "string": str,
-    "number": float,
-    "integer": int,
-    "boolean": bool,
-    "object": dict,
-    "array": list,
-}
-
-
-def _resolve_refs_to_dict(obj: Any) -> Any:
-    """Recursively convert JsonRef objects to regular dicts."""
-    if isinstance(obj, dict):
-        return {k: _resolve_refs_to_dict(v) for k, v in obj.items()}
-    if isinstance(obj, list):
-        return [_resolve_refs_to_dict(item) for item in obj]
-    return obj
-
-
-def _resolve_all_refs(schema: dict[str, Any]) -> dict[str, Any]:
-    """Resolve all $ref references in a JSON schema using jsonref.
-
-    This function fully resolves all JSON Schema $ref references, including
-    internal references that point to paths within the schema itself
-    (e.g., '#/properties/geometry/anyOf/0/items').
-
-    Args:
-        schema: The JSON schema with potential $ref references.
-
-    Returns:
-        A new schema dict with all $ref references resolved and inlined.
-    """
-    if not MCP_AVAILABLE:
-        return schema
-
-    resolved = jsonref.replace_refs(schema, lazy_load=False)
-    result = _resolve_refs_to_dict(resolved)
-    if "$defs" in result:
-        del result["$defs"]
-    return result
-
-
-def _create_model_from_schema(
-    schema: dict[str, Any], model_name: str = "DynamicModel"
-) -> type[BaseModel]:
-    """Create a Pydantic model from a JSON schema definition.
-
-    This is a simplified version that handles common JSON schema patterns
-    without passing problematic extra fields to Pydantic's Field().
-
-    Args:
-        schema: The JSON schema definition.
-        model_name: The name for the created model.
-
-    Returns:
-        A Pydantic BaseModel class.
-    """
-    if not MCP_AVAILABLE:
-        raise RuntimeError("MCP dependencies not available")
-
-    created_models: dict[str, type[BaseModel]] = {}
-    forward_refs: dict[str, ForwardRef] = {}
-
-    def process_schema(name: str, schema_def: dict[str, Any]) -> type[BaseModel]:
-        if name in created_models:
-            return created_models[name]
-
-        if name not in forward_refs:
-            forward_refs[name] = ForwardRef(name)
-
-        fields: dict[str, Any] = {}
-        properties = schema_def.get("properties", {})
-        required = set(schema_def.get("required", []))
-
-        for field_name, field_schema in properties.items():
-            field_type, default = get_field_type(field_name, field_schema, required)
-            fields[field_name] = (
-                field_type,
-                Field(
-                    default=default,
-                    description=field_schema.get("description", ""),
-                ),
-            )
-
-        model: type[BaseModel] = create_model(
-            schema_def.get("title", name),
-            __doc__=schema_def.get("description", ""),
-            **fields,
-        )
-
-        created_models[name] = model
-        return model
-
-    def get_field_type(
-        field_name: str, field_schema: dict[str, Any], required: set[str]
-    ) -> tuple[Any, Any]:
-        if "$ref" in field_schema:
-            ref_parts = field_schema["$ref"].lstrip("#/").split("/")
-            ref_name = ref_parts[-1]
-
-            if ref_name not in created_models:
-                ref_schema = schema
-                for part in ref_parts:
-                    ref_schema = ref_schema.get(part, {})
-                process_schema(ref_name, ref_schema)
-
-            field_type = created_models[ref_name]
-            is_required = field_name in required
-            return (
-                field_type | None if not is_required else field_type,
-                None if not is_required else ...,
-            )
-
-        if "anyOf" in field_schema:
-            is_nullable = any(
-                opt.get("type") == "null" for opt in field_schema["anyOf"]
-            )
-            types: list[type[Any]] = []
-
-            for option in field_schema["anyOf"]:
-                if "type" in option and option["type"] != "null":
-                    types.append(JSON_TYPE_MAPPING.get(option["type"], Any))
-                elif "enum" in option:
-                    types.append(str)
-                elif "$ref" in option:
-                    ref_parts = option["$ref"].lstrip("#/").split("/")
-                    ref_name = ref_parts[-1]
-
-                    if ref_name not in created_models:
-                        ref_schema = schema
-                        for part in ref_parts:
-                            ref_schema = ref_schema.get(part, {})
-                        process_schema(ref_name, ref_schema)
-
-                    types.append(created_models[ref_name])
-
-            if len(types) == 0:
-                field_type = Any
-            elif len(types) == 1:
-                field_type = types[0]
-            else:
-                field_type = Union[tuple(types)]  # noqa: UP007
-
-            default = field_schema.get("default")
-            is_required = field_name in required and default is None
-
-            if is_nullable and not is_required:
-                field_type = field_type | None
-
-            return field_type, ... if is_required else default
-
-        if field_schema.get("type") == "array" and "items" in field_schema:
-            item_type, _ = get_field_type("item", field_schema["items"], set())
-            field_type = list[item_type]
-        else:
-            json_type = field_schema.get("type", "string")
-
-            if isinstance(json_type, list):
-                types = []
-                for t in json_type:
-                    if t != "null":
-                        mapped_type = JSON_TYPE_MAPPING.get(t, Any)
-                        types.append(mapped_type)
-
-                if len(types) == 0:
-                    field_type = Any
-                elif len(types) == 1:
-                    field_type = types[0]
-                else:
-                    field_type = Union[tuple(types)]  # noqa: UP007
-            else:
-                field_type = JSON_TYPE_MAPPING.get(json_type, Any)
-
-        default = field_schema.get("default")
-        is_required = field_name in required and default is None
-
-        if not is_required:
-            field_type = field_type | None
-            default = default if default is not None else None
-        else:
-            default = ...
-
-        return field_type, default
-
-    if "$defs" in schema:
-        for def_name, def_schema in schema["$defs"].items():
-            process_schema(def_name, def_schema)
-
-    return process_schema(model_name, schema)
-
-
-class CrewAIAdapterWithSchemaFix(ToolAdapter):
-    """Custom CrewAI adapter that properly handles complex JSON schemas.
-
-    This adapter extends mcpadapt's ToolAdapter to fix issues with complex
-    JSON schemas that contain internal $ref references (e.g., Mapbox MCP server).
-    It fully resolves all $ref references before creating Pydantic models,
-    preventing KeyError exceptions during JSON schema generation.
-    """
-
-    def adapt(
-        self,
-        func: Callable[[dict[str, Any] | None], mcp.types.CallToolResult],
-        mcp_tool: mcp.types.Tool,
-    ) -> BaseTool:
-        """Adapt a MCP tool to a CrewAI tool with proper schema handling.
-
-        Args:
-            func: The function to adapt.
-            mcp_tool: The MCP tool to adapt.
-
-        Returns:
-            A CrewAI tool.
+        This adapter bypasses mcpadapt's model creation which adds invalid null values
+        to field schemas, instead using CrewAI's own schema utilities.
         """
-        resolved_schema = _resolve_all_refs(mcp_tool.inputSchema)
-        tool_input_model = _create_model_from_schema(resolved_schema)
 
-        class CrewAIMCPTool(BaseTool):
-            name: str = mcp_tool.name
-            description: str = mcp_tool.description or ""
-            args_schema: type[BaseModel] = tool_input_model
+        def adapt(
+            self,
+            func: Callable[[dict[str, Any] | None], CallToolResult],
+            mcp_tool: Tool,
+        ) -> BaseTool:
+            """Adapt a MCP tool to a CrewAI tool.
 
-            def _run(self, *args: Any, **kwargs: Any) -> Any:
-                filtered_kwargs: dict[str, Any] = {}
-                schema_properties = resolved_schema.get("properties", {})
+            Args:
+                func: The function to call when the tool is invoked.
+                mcp_tool: The MCP tool definition to adapt.
 
-                for key, value in kwargs.items():
-                    if value is None and key in schema_properties:
-                        prop_schema = schema_properties[key]
-                        if isinstance(prop_schema.get("type"), list):
-                            if "null" in prop_schema["type"]:
-                                filtered_kwargs[key] = value
-                        elif "anyOf" in prop_schema:
-                            if any(
-                                opt.get("type") == "null"
-                                for opt in prop_schema["anyOf"]
-                            ):
-                                filtered_kwargs[key] = value
-                    else:
-                        filtered_kwargs[key] = value
+            Returns:
+                A CrewAI BaseTool instance.
+            """
+            tool_name = sanitize_tool_name(mcp_tool.name)
+            tool_description = mcp_tool.description or ""
+            args_model = create_model_from_schema(mcp_tool.inputSchema)
 
-                result = func(filtered_kwargs)
-                return (
-                    result.content[0].text
-                    if len(result.content) == 1
-                    else str(
+            class CrewAIMCPTool(BaseTool):
+                name: str = tool_name
+                description: str = tool_description
+                args_schema: type[BaseModel] = args_model
+
+                def _run(self, **kwargs: Any) -> Any:
+                    result = func(kwargs)
+                    if len(result.content) == 1:
+                        first_content = result.content[0]
+                        if isinstance(first_content, TextContent):
+                            return first_content.text
+                        return str(first_content)
+                    return str(
                         [
                             content.text
                             for content in result.content
-                            if hasattr(content, "text")
+                            if isinstance(content, TextContent)
                         ]
                     )
-                )
 
-            def _generate_description(self) -> None:
-                try:
-                    args_schema = {
-                        k: v
-                        for k, v in jsonref.replace_refs(
-                            self.args_schema.model_json_schema()
-                        ).items()
-                        if k != "$defs"
-                    }
-                except Exception:
-                    args_schema = resolved_schema
-                self.description = f"Tool Name: {self.name}\nTool Arguments: {args_schema}\nTool Description: {self.description}"
+                def _generate_description(self) -> None:
+                    schema = self.args_schema.model_json_schema()
+                    schema.pop("$defs", None)
+                    self.description = (
+                        f"Tool Name: {self.name}\n"
+                        f"Tool Arguments: {schema}\n"
+                        f"Tool Description: {self.description}"
+                    )
 
-        return CrewAIMCPTool()
+            return CrewAIMCPTool()
 
-    async def async_adapt(
-        self,
-        afunc: Callable[
-            [dict[str, Any] | None], Coroutine[Any, Any, mcp.types.CallToolResult]
-        ],
-        mcp_tool: mcp.types.Tool,
-    ) -> Any:
-        raise NotImplementedError("async is not supported by the CrewAI framework.")
+        async def async_adapt(self, afunc: Any, mcp_tool: Tool) -> Any:
+            """Async adaptation is not supported by CrewAI."""
+            raise NotImplementedError("async is not supported by the CrewAI framework.")
+
+    MCP_AVAILABLE = True
+except ImportError as e:
+    logger.debug(f"MCP packages not available: {e}")
+    MCP_AVAILABLE = False
 
 
 class MCPServerAdapter:
@@ -318,9 +100,6 @@ class MCPServerAdapter:
     Note: tools can only be accessed after the server has been started with the
         `start()` method.
 
-    Attributes:
-        tools: The CrewAI tools available from the MCP server.
-
     Usage:
         # context manager + stdio
         with MCPServerAdapter(...) as tools:
@@ -373,7 +152,9 @@ class MCPServerAdapter:
         super().__init__()
         self._adapter = None
         self._tools = None
-        self._tool_names = list(tool_names) if tool_names else None
+        self._tool_names = (
+            [sanitize_tool_name(name) for name in tool_names] if tool_names else None
+        )
 
         if not MCP_AVAILABLE:
             import click
@@ -384,7 +165,7 @@ class MCPServerAdapter:
                 import subprocess
 
                 try:
-                    subprocess.run(["uv", "add", "mcp crewai-tools[mcp]"], check=True)  # noqa: S607
+                    subprocess.run(["uv", "add", "mcp crewai-tools'[mcp]'"], check=True)  # noqa: S607
 
                 except subprocess.CalledProcessError as e:
                     raise ImportError("Failed to install mcp package") from e
@@ -396,7 +177,7 @@ class MCPServerAdapter:
         try:
             self._serverparams = serverparams
             self._adapter = MCPAdapt(
-                self._serverparams, CrewAIAdapterWithSchemaFix(), connect_timeout
+                self._serverparams, CrewAIToolAdapter(), connect_timeout
             )
             self.start()
 
@@ -408,13 +189,13 @@ class MCPServerAdapter:
                     logger.error(f"Error during stop cleanup: {stop_e}")
             raise RuntimeError(f"Failed to initialize MCP Adapter: {e}") from e
 
-    def start(self):
+    def start(self) -> None:
         """Start the MCP server and initialize the tools."""
-        self._tools = self._adapter.__enter__()
+        self._tools = self._adapter.__enter__()  # type: ignore[union-attr]
 
-    def stop(self):
+    def stop(self) -> None:
         """Stop the MCP server."""
-        self._adapter.__exit__(None, None, None)
+        self._adapter.__exit__(None, None, None)  # type: ignore[union-attr]
 
     @property
     def tools(self) -> ToolCollection[BaseTool]:
@@ -436,12 +217,19 @@ class MCPServerAdapter:
             return tools_collection.filter_by_names(self._tool_names)
         return tools_collection
 
-    def __enter__(self):
-        """Enter the context manager. Note that `__init__()` already starts the MCP server.
-        So tools should already be available.
+    def __enter__(self) -> ToolCollection[BaseTool]:
+        """Enter the context manager.
+
+        Note that `__init__()` already starts the MCP server,
+        so tools should already be available.
         """
         return self.tools
 
-    def __exit__(self, exc_type, exc_value, traceback):
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc_value: BaseException | None,
+        traceback: Any,
+    ) -> None:
         """Exit the context manager."""
-        return self._adapter.__exit__(exc_type, exc_value, traceback)
+        self._adapter.__exit__(exc_type, exc_value, traceback)  # type: ignore[union-attr]

lib/crewai-tools/src/crewai_tools/generate_tool_specs.py

@@ -8,8 +8,9 @@ from typing import Any
 
 from crewai.tools.base_tool import BaseTool, EnvVar
 from pydantic import BaseModel
+from pydantic.fields import FieldInfo
 from pydantic.json_schema import GenerateJsonSchema
-from pydantic_core import PydanticOmit
+from pydantic_core import PydanticOmit, PydanticUndefined
 
 from crewai_tools import tools
 
@@ -44,6 +45,9 @@ class ToolSpecExtractor:
             schema = self._unwrap_schema(core_schema)
             fields = schema.get("schema", {}).get("fields", {})
 
+            # Use model_fields to get defaults (handles both default and default_factory)
+            model_fields = tool_class.model_fields
+
             tool_info = {
                 "name": tool_class.__name__,
                 "humanized_name": self._extract_field_default(
@@ -54,9 +58,9 @@ class ToolSpecExtractor:
                 ).strip(),
                 "run_params_schema": self._extract_params(fields.get("args_schema")),
                 "init_params_schema": self._extract_init_params(tool_class),
-                "env_vars": self._extract_env_vars(fields.get("env_vars")),
-                "package_dependencies": self._extract_field_default(
-                    fields.get("package_dependencies"), fallback=[]
+                "env_vars": self._extract_env_vars_from_model_fields(model_fields),
+                "package_dependencies": self._extract_package_deps_from_model_fields(
+                    model_fields
                 ),
             }
 
@@ -103,10 +107,27 @@ class ToolSpecExtractor:
             return {}
 
     @staticmethod
-    def _extract_env_vars(
-        env_vars_field: dict[str, Any] | None,
+    def _get_field_default(field: FieldInfo | None) -> Any:
+        """Get default value from a FieldInfo, handling both default and default_factory."""
+        if not field:
+            return None
+
+        default_value = field.default
+        if default_value is PydanticUndefined or default_value is None:
+            if field.default_factory:
+                return field.default_factory()
+            return None
+
+        return default_value
+
+    @staticmethod
+    def _extract_env_vars_from_model_fields(
+        model_fields: dict[str, FieldInfo],
     ) -> list[dict[str, Any]]:
-        if not env_vars_field:
+        default_value = ToolSpecExtractor._get_field_default(
+            model_fields.get("env_vars")
+        )
+        if not default_value:
             return []
 
         return [
@@ -116,10 +137,22 @@ class ToolSpecExtractor:
                 "required": env_var.required,
                 "default": env_var.default,
             }
-            for env_var in env_vars_field.get("schema", {}).get("default", [])
+            for env_var in default_value
             if isinstance(env_var, EnvVar)
         ]
 
+    @staticmethod
+    def _extract_package_deps_from_model_fields(
+        model_fields: dict[str, FieldInfo],
+    ) -> list[str]:
+        default_value = ToolSpecExtractor._get_field_default(
+            model_fields.get("package_dependencies")
+        )
+        if not isinstance(default_value, list):
+            return []
+
+        return default_value
+
     @staticmethod
     def _extract_init_params(tool_class: type[BaseTool]) -> dict[str, Any]:
         ignored_init_params = [
@@ -152,7 +185,7 @@ class ToolSpecExtractor:
 
 
 if __name__ == "__main__":
-    output_file = Path(__file__).parent / "tool.specs.json"
+    output_file = Path(__file__).parent.parent.parent / "tool.specs.json"
     extractor = ToolSpecExtractor()
 
     extractor.extract_all_tools()

lib/crewai-tools/src/crewai_tools/tools/brave_search_tool/brave_search_tool.py

@@ -1,12 +1,17 @@
 from datetime import datetime
+import json
 import os
 import time
-from typing import Any, ClassVar
+from typing import Annotated, Any, ClassVar, Literal
 
 from crewai.tools import BaseTool, EnvVar
+from dotenv import load_dotenv
 from pydantic import BaseModel, Field
+from pydantic.types import StringConstraints
 import requests
 
+load_dotenv()
+
 
 def _save_results_to_file(content: str) -> None:
     """Saves the search results to a file."""
@@ -15,37 +20,72 @@ def _save_results_to_file(content: str) -> None:
         file.write(content)
 
 
-class BraveSearchToolSchema(BaseModel):
-    """Input for BraveSearchTool."""
+FreshnessPreset = Literal["pd", "pw", "pm", "py"]
+FreshnessRange = Annotated[
+    str, StringConstraints(pattern=r"^\d{4}-\d{2}-\d{2}to\d{4}-\d{2}-\d{2}$")
+]
+Freshness = FreshnessPreset | FreshnessRange
+SafeSearch = Literal["off", "moderate", "strict"]
 
-    search_query: str = Field(
-        ..., description="Mandatory search query you want to use to search the internet"
+
+class BraveSearchToolSchema(BaseModel):
+    """Input for BraveSearchTool"""
+
+    query: str = Field(..., description="Search query to perform")
+    country: str | None = Field(
+        default=None,
+        description="Country code for geo-targeting (e.g., 'US', 'BR').",
+    )
+    search_language: str | None = Field(
+        default=None,
+        description="Language code for the search results (e.g., 'en', 'es').",
+    )
+    count: int | None = Field(
+        default=None,
+        description="The maximum number of results to return. Actual number may be less.",
+    )
+    offset: int | None = Field(
+        default=None, description="Skip the first N result sets/pages. Max is 9."
+    )
+    safesearch: SafeSearch | None = Field(
+        default=None,
+        description="Filter out explicit content. Options: off/moderate/strict",
+    )
+    spellcheck: bool | None = Field(
+        default=None,
+        description="Attempt to correct spelling errors in the search query.",
+    )
+    freshness: Freshness | None = Field(
+        default=None,
+        description="Enforce freshness of results. Options: pd/pw/pm/py, or YYYY-MM-DDtoYYYY-MM-DD",
+    )
+    text_decorations: bool | None = Field(
+        default=None,
+        description="Include markup to highlight search terms in the results.",
+    )
+    extra_snippets: bool | None = Field(
+        default=None,
+        description="Include up to 5 text snippets for each page if possible.",
+    )
+    operators: bool | None = Field(
+        default=None,
+        description="Whether to apply search operators (e.g., site:example.com).",
     )
 
 
+# TODO: Extend support to additional endpoints (e.g., /images, /news, etc.)
 class BraveSearchTool(BaseTool):
-    """BraveSearchTool - A tool for performing web searches using the Brave Search API.
+    """A tool that performs web searches using the Brave Search API."""
 
-    This module provides functionality to search the internet using Brave's Search API,
-    supporting customizable result counts and country-specific searches.
-
-    Dependencies:
-        - requests
-        - pydantic
-        - python-dotenv (for API key management)
-    """
-
-    name: str = "Brave Web Search the internet"
+    name: str = "Brave Search"
     description: str = (
-        "A tool that can be used to search the internet with a search_query."
+        "A tool that performs web searches using the Brave Search API. "
+        "Results are returned as structured JSON data."
     )
     args_schema: type[BaseModel] = BraveSearchToolSchema
     search_url: str = "https://api.search.brave.com/res/v1/web/search"
-    country: str | None = ""
     n_results: int = 10
     save_file: bool = False
-    _last_request_time: ClassVar[float] = 0
-    _min_request_interval: ClassVar[float] = 1.0  # seconds
     env_vars: list[EnvVar] = Field(
         default_factory=lambda: [
             EnvVar(
@@ -55,6 +95,9 @@ class BraveSearchTool(BaseTool):
             ),
         ]
     )
+    # Rate limiting parameters
+    _last_request_time: ClassVar[float] = 0
+    _min_request_interval: ClassVar[float] = 1.0  # seconds
 
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
@@ -73,19 +116,64 @@ class BraveSearchTool(BaseTool):
                 self._min_request_interval - (current_time - self._last_request_time)
             )
         BraveSearchTool._last_request_time = time.time()
+
+        # Construct and send the request
         try:
-            search_query = kwargs.get("search_query") or kwargs.get("query")
-            if not search_query:
-                raise ValueError("Search query is required")
+            # Maintain both "search_query" and "query" for backwards compatibility
+            query = kwargs.get("search_query") or kwargs.get("query")
+            if not query:
+                raise ValueError("Query is required")
+
+            payload = {"q": query}
+
+            if country := kwargs.get("country"):
+                payload["country"] = country
+
+            if search_language := kwargs.get("search_language"):
+                payload["search_language"] = search_language
+
+            # Fallback to deprecated n_results parameter if no count is provided
+            count = kwargs.get("count")
+            if count is not None:
+                payload["count"] = count
+            else:
+                payload["count"] = self.n_results
+
+            # Offset may be 0, so avoid truthiness check
+            offset = kwargs.get("offset")
+            if offset is not None:
+                payload["offset"] = offset
+
+            if safesearch := kwargs.get("safesearch"):
+                payload["safesearch"] = safesearch
 
             save_file = kwargs.get("save_file", self.save_file)
-            n_results = kwargs.get("n_results", self.n_results)
+            if freshness := kwargs.get("freshness"):
+                payload["freshness"] = freshness
 
-            payload = {"q": search_query, "count": n_results}
+            # Boolean parameters
+            spellcheck = kwargs.get("spellcheck")
+            if spellcheck is not None:
+                payload["spellcheck"] = spellcheck
 
-            if self.country != "":
-                payload["country"] = self.country
+            text_decorations = kwargs.get("text_decorations")
+            if text_decorations is not None:
+                payload["text_decorations"] = text_decorations
 
+            extra_snippets = kwargs.get("extra_snippets")
+            if extra_snippets is not None:
+                payload["extra_snippets"] = extra_snippets
+
+            operators = kwargs.get("operators")
+            if operators is not None:
+                payload["operators"] = operators
+
+            # Limit the result types to "web" since there is presently no
+            # handling of other types like "discussions", "faq", "infobox",
+            # "news", "videos", or "locations".
+            payload["result_filter"] = "web"
+
+            # Setup Request Headers
             headers = {
                 "X-Subscription-Token": os.environ["BRAVE_API_KEY"],
                 "Accept": "application/json",
@@ -97,25 +185,32 @@ class BraveSearchTool(BaseTool):
             response.raise_for_status()  # Handle non-200 responses
             results = response.json()
 
+            # TODO: Handle other result types like "discussions", "faq", etc.
+            web_results_items = []
             if "web" in results:
-                results = results["web"]["results"]
-                string = []
-                for result in results:
-                    try:
-                        string.append(
-                            "\n".join(
-                                [
-                                    f"Title: {result['title']}",
-                                    f"Link: {result['url']}",
-                                    f"Snippet: {result['description']}",
-                                    "---",
-                                ]
-                            )
-                        )
-                    except KeyError:  # noqa: PERF203
-                        continue
+                web_results = results["web"]["results"]
 
-            content = "\n".join(string)
+                for result in web_results:
+                    url = result.get("url")
+                    title = result.get("title")
+                    # If, for whatever reason, this entry does not have a title
+                    # or url, skip it.
+                    if not url or not title:
+                        continue
+                    item = {
+                        "url": url,
+                        "title": title,
+                    }
+                    description = result.get("description")
+                    if description:
+                        item["description"] = description
+                    snippets = result.get("extra_snippets")
+                    if snippets:
+                        item["snippets"] = snippets
+
+                    web_results_items.append(item)
+
+            content = json.dumps(web_results_items)
         except requests.RequestException as e:
             return f"Error performing search: {e!s}"
         except KeyError as e:

lib/crewai-tools/src/crewai_tools/tools/nl2sql/README.md

@@ -8,6 +8,29 @@ This enables multiple workflows like having an Agent to access the database fetc
 
 **Attention**: Make sure that the Agent has access to a Read-Replica or that is okay for the Agent to run insert/update queries on the database.
 
+## Security Model
+
+`NL2SQLTool` is an execution-capable tool. It runs model-generated SQL directly against the configured database connection.
+
+Risk depends on deployment choices:
+
+- Which credentials are used in `db_uri`
+- Whether untrusted input can influence prompts
+- Whether tool-call guardrails are enforced before execution
+
+If untrusted input can reach this tool, treat the integration as high risk.
+
+## Hardening Recommendations
+
+Use all of the following in production:
+
+- Use a read-only database user whenever possible
+- Prefer a read replica for analytics/retrieval workloads
+- Grant least privilege (no superuser/admin roles, no file/system-level capabilities)
+- Apply database-side resource limits (statement timeout, lock timeout, cost/row limits)
+- Add `before_tool_call` hooks to enforce allowed query patterns
+- Enable query logging and alerting for destructive statements
+
 ## Requirements
 
 - SqlAlchemy

lib/crewai-tools/src/crewai_tools/tools/stagehand_tool/stagehand_tool.py

@@ -4,7 +4,7 @@ import os
 import re
 from typing import Any
 
-from crewai.tools import BaseTool
+from crewai.tools import BaseTool, EnvVar
 from pydantic import BaseModel, Field
 
 
@@ -137,6 +137,21 @@ class StagehandTool(BaseTool):
     - 'observe': For finding elements in a specific area
     """
     args_schema: type[BaseModel] = StagehandToolSchema
+    package_dependencies: list[str] = Field(default_factory=lambda: ["stagehand<=0.5.9"])
+    env_vars: list[EnvVar] = Field(
+        default_factory=lambda: [
+            EnvVar(
+                name="BROWSERBASE_API_KEY",
+                description="API key for Browserbase services",
+                required=False,
+            ),
+            EnvVar(
+                name="BROWSERBASE_PROJECT_ID",
+                description="Project ID for Browserbase services",
+                required=False,
+            ),
+        ]
+    )
 
     # Stagehand configuration
     api_key: str | None = None

lib/crewai-tools/tests/adapters/mcp_adapter_test.py

@@ -2,11 +2,6 @@ from textwrap import dedent
 from unittest.mock import MagicMock, patch
 
 from crewai_tools import MCPServerAdapter
-from crewai_tools.adapters.mcp_adapter import (
-    _resolve_all_refs,
-    _create_model_from_schema,
-    CrewAIAdapterWithSchemaFix,
-)
 from crewai_tools.adapters.tool_collection import ToolCollection
 from mcp import StdioServerParameters
 import pytest
@@ -242,195 +237,3 @@ def test_connect_timeout_passed_to_mcpadapt(mock_mcpadapt):
     MCPServerAdapter(serverparams, connect_timeout=5)
     mock_mcpadapt.assert_called_once()
     assert mock_mcpadapt.call_args[0][2] == 5
-
-
-class TestResolveAllRefs:
-    """Tests for the _resolve_all_refs function that handles complex JSON schemas."""
-
-    def test_resolve_simple_defs_ref(self):
-        """Test resolving $ref that points to $defs."""
-        schema = {
-            "type": "object",
-            "$defs": {
-                "Point": {
-                    "type": "array",
-                    "items": {"type": "number"},
-                }
-            },
-            "properties": {
-                "location": {"$ref": "#/$defs/Point"}
-            }
-        }
-        resolved = _resolve_all_refs(schema)
-        assert "$defs" not in resolved
-        assert resolved["properties"]["location"]["type"] == "array"
-        assert resolved["properties"]["location"]["items"]["type"] == "number"
-
-    def test_resolve_nested_anyof_refs(self):
-        """Test resolving $ref inside anyOf (like Mapbox geometry schema)."""
-        schema = {
-            "type": "object",
-            "$defs": {
-                "Coordinate": {
-                    "type": "array",
-                    "items": {"type": "number"},
-                    "minItems": 2,
-                }
-            },
-            "properties": {
-                "geometry": {
-                    "anyOf": [
-                        {
-                            "type": "array",
-                            "items": {"$ref": "#/$defs/Coordinate"}
-                        },
-                        {"type": "null"}
-                    ]
-                }
-            }
-        }
-        resolved = _resolve_all_refs(schema)
-        assert "$defs" not in resolved
-        geometry_anyof = resolved["properties"]["geometry"]["anyOf"]
-        array_option = geometry_anyof[0]
-        assert array_option["type"] == "array"
-        assert array_option["items"]["type"] == "array"
-        assert array_option["items"]["items"]["type"] == "number"
-
-    def test_resolve_internal_property_refs(self):
-        """Test resolving $ref that points to internal properties."""
-        schema = {
-            "type": "object",
-            "properties": {
-                "coordinates": {
-                    "type": "array",
-                    "items": {"type": "number"}
-                },
-                "geometry": {
-                    "anyOf": [
-                        {
-                            "type": "array",
-                            "items": {"$ref": "#/properties/coordinates"}
-                        },
-                        {"type": "null"}
-                    ]
-                }
-            }
-        }
-        resolved = _resolve_all_refs(schema)
-        geometry_anyof = resolved["properties"]["geometry"]["anyOf"]
-        array_option = geometry_anyof[0]
-        assert array_option["items"]["type"] == "array"
-        assert array_option["items"]["items"]["type"] == "number"
-
-    def test_no_refs_returns_same_schema(self):
-        """Test that schema without refs is returned unchanged (except $defs removal)."""
-        schema = {
-            "type": "object",
-            "properties": {
-                "name": {"type": "string"},
-                "age": {"type": "integer"}
-            }
-        }
-        resolved = _resolve_all_refs(schema)
-        assert resolved["properties"]["name"]["type"] == "string"
-        assert resolved["properties"]["age"]["type"] == "integer"
-
-
-class TestCreateModelFromSchema:
-    """Tests for the _create_model_from_schema function."""
-
-    def test_create_simple_model(self):
-        """Test creating a model from a simple schema."""
-        schema = {
-            "type": "object",
-            "properties": {
-                "name": {"type": "string", "description": "The name"},
-                "count": {"type": "integer"}
-            },
-            "required": ["name"]
-        }
-        model = _create_model_from_schema(schema)
-        assert model.__name__ == "DynamicModel"
-        instance = model(name="test")
-        assert instance.name == "test"
-        assert instance.count is None
-
-    def test_create_model_with_anyof_nullable(self):
-        """Test creating a model with anyOf that includes null."""
-        schema = {
-            "type": "object",
-            "properties": {
-                "value": {
-                    "anyOf": [
-                        {"type": "string"},
-                        {"type": "null"}
-                    ]
-                }
-            }
-        }
-        model = _create_model_from_schema(schema)
-        instance = model(value="test")
-        assert instance.value == "test"
-        instance2 = model(value=None)
-        assert instance2.value is None
-
-    def test_create_model_with_array(self):
-        """Test creating a model with array type."""
-        schema = {
-            "type": "object",
-            "properties": {
-                "items": {
-                    "type": "array",
-                    "items": {"type": "string"}
-                }
-            }
-        }
-        model = _create_model_from_schema(schema)
-        instance = model(items=["a", "b", "c"])
-        assert instance.items == ["a", "b", "c"]
-
-    def test_model_json_schema_does_not_raise(self):
-        """Test that generated model's model_json_schema() doesn't raise KeyError.
-
-        This is the core issue from GitHub issue #4312 - complex schemas with
-        internal $ref references would cause KeyError when calling model_json_schema().
-        """
-        schema = {
-            "type": "object",
-            "properties": {
-                "geometry": {
-                    "anyOf": [
-                        {
-                            "type": "array",
-                            "items": {"type": "number"}
-                        },
-                        {"type": "null"}
-                    ]
-                }
-            }
-        }
-        resolved = _resolve_all_refs(schema)
-        model = _create_model_from_schema(resolved)
-        json_schema = model.model_json_schema()
-        assert "properties" in json_schema
-        assert "geometry" in json_schema["properties"]
-
-
-class TestCrewAIAdapterWithSchemaFix:
-    """Tests for the CrewAIAdapterWithSchemaFix class."""
-
-    def test_adapter_is_tool_adapter(self):
-        """Test that the adapter is a valid ToolAdapter."""
-        from mcpadapt.core import ToolAdapter
-        adapter = CrewAIAdapterWithSchemaFix()
-        assert isinstance(adapter, ToolAdapter)
-
-    def test_async_adapt_raises_not_implemented(self):
-        """Test that async_adapt raises NotImplementedError."""
-        adapter = CrewAIAdapterWithSchemaFix()
-        with pytest.raises(NotImplementedError):
-            import asyncio
-            asyncio.get_event_loop().run_until_complete(
-                adapter.async_adapt(None, None)
-            )

lib/crewai-tools/tests/test_generate_tool_specs.py

@@ -23,23 +23,26 @@ class MockTool(BaseTool):
     )
     my_parameter: str = Field("This is default value", description="What a description")
     my_parameter_bool: bool = Field(False)
+    # Use default_factory like real tools do (not direct default)
     package_dependencies: list[str] = Field(
-        ["this-is-a-required-package", "another-required-package"], description=""
+        default_factory=lambda: ["this-is-a-required-package", "another-required-package"]
+    )
+    env_vars: list[EnvVar] = Field(
+        default_factory=lambda: [
+            EnvVar(
+                name="SERPER_API_KEY",
+                description="API key for Serper",
+                required=True,
+                default=None,
+            ),
+            EnvVar(
+                name="API_RATE_LIMIT",
+                description="API rate limit",
+                required=False,
+                default="100",
+            ),
+        ]
     )
-    env_vars: list[EnvVar] = [
-        EnvVar(
-            name="SERPER_API_KEY",
-            description="API key for Serper",
-            required=True,
-            default=None,
-        ),
-        EnvVar(
-            name="API_RATE_LIMIT",
-            description="API rate limit",
-            required=False,
-            default="100",
-        ),
-    ]
 
 
 @pytest.fixture

lib/crewai-tools/tests/tools/brave_search_tool_test.py

@@ -1,8 +1,10 @@
+import json
 from unittest.mock import patch
 
-from crewai_tools.tools.brave_search_tool.brave_search_tool import BraveSearchTool
 import pytest
 
+from crewai_tools.tools.brave_search_tool.brave_search_tool import BraveSearchTool
+
 
 @pytest.fixture
 def brave_tool():
@@ -30,16 +32,46 @@ def test_brave_tool_search(mock_get, brave_tool):
     }
     mock_get.return_value.json.return_value = mock_response
 
-    result = brave_tool.run(search_query="test")
-    assert "Test Title" in result
-    assert "http://test.com" in result
+    result = brave_tool.run(query="test")
+    data = json.loads(result)
+    assert isinstance(data, list)
+    assert len(data) >= 1
+    assert data[0]["title"] == "Test Title"
+    assert data[0]["url"] == "http://test.com"
 
 
-def test_brave_tool():
-    tool = BraveSearchTool(
-        n_results=2,
-    )
-    tool.run(search_query="ChatGPT")
+@patch("requests.get")
+def test_brave_tool(mock_get):
+    mock_response = {
+        "web": {
+            "results": [
+                {
+                    "title": "Brave Browser",
+                    "url": "https://brave.com",
+                    "description": "Brave Browser description",
+                }
+            ]
+        }
+    }
+    mock_get.return_value.json.return_value = mock_response
+
+    tool = BraveSearchTool(n_results=2)
+    result = tool.run(query="Brave Browser")
+    assert result is not None
+
+    # Parse JSON so we can examine the structure
+    data = json.loads(result)
+    assert isinstance(data, list)
+    assert len(data) >= 1
+
+    # First item should have expected fields: title, url, and description
+    first = data[0]
+    assert "title" in first
+    assert first["title"] == "Brave Browser"
+    assert "url" in first
+    assert first["url"] == "https://brave.com"
+    assert "description" in first
+    assert first["description"] == "Brave Browser description"
 
 
 if __name__ == "__main__":

lib/crewai/pyproject.toml

@@ -10,11 +10,11 @@ requires-python = ">=3.10, <3.14"
 dependencies = [
     # Core Dependencies
     "pydantic~=2.11.9",
-    "openai~=1.83.0",
+    "openai>=1.83.0,<3",
     "instructor>=1.3.3",
     # Text Processing
     "pdfplumber~=0.11.4",
-    "regex~=2024.9.11",
+    "regex~=2026.1.15",
     # Telemetry and Monitoring
     "opentelemetry-api~=1.34.0",
     "opentelemetry-sdk~=1.34.0",
@@ -26,6 +26,8 @@ dependencies = [
     # Authentication and Security
     "python-dotenv~=1.1.1",
     "pyjwt>=2.9.0,<3",
+    # TUI
+    "textual>=7.5.0",
     # Configuration and Utils
     "click~=8.1.7",
     "appdirs~=1.4.4",
@@ -36,9 +38,11 @@ dependencies = [
     "json5~=0.10.0",
     "portalocker~=2.7.0",
     "pydantic-settings~=2.10.1",
-    "mcp~=1.23.1",
+    "httpx~=0.28.1",
+    "mcp~=1.26.0",
     "uv~=0.9.13",
     "aiosqlite~=0.21.0",
+    "lancedb>=0.4.0",
 ]
 
 [project.urls]
@@ -49,7 +53,7 @@ Repository = "https://github.com/crewAIInc/crewAI"
 
 [project.optional-dependencies]
 tools = [
-    "crewai-tools==1.9.2",
+    "crewai-tools==1.9.3",
 ]
 embeddings = [
     "tiktoken~=0.8.0"
@@ -78,7 +82,7 @@ voyageai = [
     "voyageai~=0.3.5",
 ]
 litellm = [
-    "litellm~=1.74.9",
+    "litellm>=1.74.9,<3",
 ]
 bedrock = [
     "boto3~=1.40.45",

lib/crewai/src/crewai/__init__.py

@@ -10,6 +10,7 @@ from crewai.flow.flow import Flow
 from crewai.knowledge.knowledge import Knowledge
 from crewai.llm import LLM
 from crewai.llms.base_llm import BaseLLM
+from crewai.memory.unified_memory import Memory
 from crewai.process import Process
 from crewai.task import Task
 from crewai.tasks.llm_guardrail import LLMGuardrail
@@ -40,7 +41,7 @@ def _suppress_pydantic_deprecation_warnings() -> None:
 
 _suppress_pydantic_deprecation_warnings()
 
-__version__ = "1.9.2"
+__version__ = "1.9.3"
 _telemetry_submitted = False
 
 
@@ -80,6 +81,7 @@ __all__ = [
     "Flow",
     "Knowledge",
     "LLMGuardrail",
+    "Memory",
     "Process",
     "Task",
     "TaskOutput",

lib/crewai/src/crewai/a2a/auth/__init__.py

@@ -1,20 +1,36 @@
 """A2A authentication schemas."""
 
-from crewai.a2a.auth.schemas import (
+from crewai.a2a.auth.client_schemes import (
     APIKeyAuth,
+    AuthScheme,
     BearerTokenAuth,
+    ClientAuthScheme,
     HTTPBasicAuth,
     HTTPDigestAuth,
     OAuth2AuthorizationCode,
     OAuth2ClientCredentials,
+    TLSConfig,
+)
+from crewai.a2a.auth.server_schemes import (
+    AuthenticatedUser,
+    OIDCAuth,
+    ServerAuthScheme,
+    SimpleTokenAuth,
 )
 
 
 __all__ = [
     "APIKeyAuth",
+    "AuthScheme",
+    "AuthenticatedUser",
     "BearerTokenAuth",
+    "ClientAuthScheme",
     "HTTPBasicAuth",
     "HTTPDigestAuth",
     "OAuth2AuthorizationCode",
     "OAuth2ClientCredentials",
+    "OIDCAuth",
+    "ServerAuthScheme",
+    "SimpleTokenAuth",
+    "TLSConfig",
 ]

lib/crewai/src/crewai/a2a/auth/client_schemes.py

@@ -0,0 +1,550 @@
+"""Authentication schemes for A2A protocol clients.
+
+Supported authentication methods:
+- Bearer tokens
+- OAuth2 (Client Credentials, Authorization Code)
+- API Keys (header, query, cookie)
+- HTTP Basic authentication
+- HTTP Digest authentication
+- mTLS (mutual TLS) client certificate authentication
+"""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+import asyncio
+import base64
+from collections.abc import Awaitable, Callable, MutableMapping
+from pathlib import Path
+import ssl
+import time
+from typing import TYPE_CHECKING, ClassVar, Literal
+import urllib.parse
+
+import httpx
+from httpx import DigestAuth
+from pydantic import BaseModel, ConfigDict, Field, FilePath, PrivateAttr
+from typing_extensions import deprecated
+
+
+if TYPE_CHECKING:
+    import grpc  # type: ignore[import-untyped]
+
+
+class TLSConfig(BaseModel):
+    """TLS/mTLS configuration for secure client connections.
+
+    Supports mutual TLS (mTLS) where the client presents a certificate to the server,
+    and standard TLS with custom CA verification.
+
+    Attributes:
+        client_cert_path: Path to client certificate file (PEM format) for mTLS.
+        client_key_path: Path to client private key file (PEM format) for mTLS.
+        ca_cert_path: Path to CA certificate bundle for server verification.
+        verify: Whether to verify server certificates. Set False only for development.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    client_cert_path: FilePath | None = Field(
+        default=None,
+        description="Path to client certificate file (PEM format) for mTLS",
+    )
+    client_key_path: FilePath | None = Field(
+        default=None,
+        description="Path to client private key file (PEM format) for mTLS",
+    )
+    ca_cert_path: FilePath | None = Field(
+        default=None,
+        description="Path to CA certificate bundle for server verification",
+    )
+    verify: bool = Field(
+        default=True,
+        description="Whether to verify server certificates. Set False only for development.",
+    )
+
+    def get_httpx_ssl_context(self) -> ssl.SSLContext | bool | str:
+        """Build SSL context for httpx client.
+
+        Returns:
+            SSL context if certificates configured, True for default verification,
+            False if verification disabled, or path to CA bundle.
+        """
+        if not self.verify:
+            return False
+
+        if self.client_cert_path and self.client_key_path:
+            context = ssl.create_default_context()
+
+            if self.ca_cert_path:
+                context.load_verify_locations(cafile=str(self.ca_cert_path))
+
+            context.load_cert_chain(
+                certfile=str(self.client_cert_path),
+                keyfile=str(self.client_key_path),
+            )
+            return context
+
+        if self.ca_cert_path:
+            return str(self.ca_cert_path)
+
+        return True
+
+    def get_grpc_credentials(self) -> grpc.ChannelCredentials | None:  # type: ignore[no-any-unimported]
+        """Build gRPC channel credentials for secure connections.
+
+        Returns:
+            gRPC SSL credentials if certificates configured, None otherwise.
+        """
+        try:
+            import grpc
+        except ImportError:
+            return None
+
+        if not self.verify and not self.client_cert_path:
+            return None
+
+        root_certs: bytes | None = None
+        private_key: bytes | None = None
+        certificate_chain: bytes | None = None
+
+        if self.ca_cert_path:
+            root_certs = Path(self.ca_cert_path).read_bytes()
+
+        if self.client_cert_path and self.client_key_path:
+            private_key = Path(self.client_key_path).read_bytes()
+            certificate_chain = Path(self.client_cert_path).read_bytes()
+
+        return grpc.ssl_channel_credentials(
+            root_certificates=root_certs,
+            private_key=private_key,
+            certificate_chain=certificate_chain,
+        )
+
+
+class ClientAuthScheme(ABC, BaseModel):
+    """Base class for client-side authentication schemes.
+
+    Client auth schemes apply credentials to outgoing requests.
+
+    Attributes:
+        tls: Optional TLS/mTLS configuration for secure connections.
+    """
+
+    tls: TLSConfig | None = Field(
+        default=None,
+        description="TLS/mTLS configuration for secure connections",
+    )
+
+    @abstractmethod
+    async def apply_auth(
+        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
+    ) -> MutableMapping[str, str]:
+        """Apply authentication to request headers.
+
+        Args:
+            client: HTTP client for making auth requests.
+            headers: Current request headers.
+
+        Returns:
+            Updated headers with authentication applied.
+        """
+        ...
+
+
+@deprecated("Use ClientAuthScheme instead", category=FutureWarning)
+class AuthScheme(ClientAuthScheme):
+    """Deprecated: Use ClientAuthScheme instead."""
+
+
+class BearerTokenAuth(ClientAuthScheme):
+    """Bearer token authentication (Authorization: Bearer <token>).
+
+    Attributes:
+        token: Bearer token for authentication.
+    """
+
+    token: str = Field(description="Bearer token")
+
+    async def apply_auth(
+        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
+    ) -> MutableMapping[str, str]:
+        """Apply Bearer token to Authorization header.
+
+        Args:
+            client: HTTP client for making auth requests.
+            headers: Current request headers.
+
+        Returns:
+            Updated headers with Bearer token in Authorization header.
+        """
+        headers["Authorization"] = f"Bearer {self.token}"
+        return headers
+
+
+class HTTPBasicAuth(ClientAuthScheme):
+    """HTTP Basic authentication.
+
+    Attributes:
+        username: Username for Basic authentication.
+        password: Password for Basic authentication.
+    """
+
+    username: str = Field(description="Username")
+    password: str = Field(description="Password")
+
+    async def apply_auth(
+        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
+    ) -> MutableMapping[str, str]:
+        """Apply HTTP Basic authentication.
+
+        Args:
+            client: HTTP client for making auth requests.
+            headers: Current request headers.
+
+        Returns:
+            Updated headers with Basic auth in Authorization header.
+        """
+        credentials = f"{self.username}:{self.password}"
+        encoded = base64.b64encode(credentials.encode()).decode()
+        headers["Authorization"] = f"Basic {encoded}"
+        return headers
+
+
+class HTTPDigestAuth(ClientAuthScheme):
+    """HTTP Digest authentication.
+
+    Note: Uses httpx-auth library for digest implementation.
+
+    Attributes:
+        username: Username for Digest authentication.
+        password: Password for Digest authentication.
+    """
+
+    username: str = Field(description="Username")
+    password: str = Field(description="Password")
+
+    _configured_client_id: int | None = PrivateAttr(default=None)
+
+    async def apply_auth(
+        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
+    ) -> MutableMapping[str, str]:
+        """Digest auth is handled by httpx auth flow, not headers.
+
+        Args:
+            client: HTTP client for making auth requests.
+            headers: Current request headers.
+
+        Returns:
+            Unchanged headers (Digest auth handled by httpx auth flow).
+        """
+        return headers
+
+    def configure_client(self, client: httpx.AsyncClient) -> None:
+        """Configure client with Digest auth.
+
+        Idempotent: Only configures the client once. Subsequent calls on the same
+        client instance are no-ops to prevent overwriting auth configuration.
+
+        Args:
+            client: HTTP client to configure with Digest authentication.
+        """
+        client_id = id(client)
+        if self._configured_client_id == client_id:
+            return
+
+        client.auth = DigestAuth(self.username, self.password)
+        self._configured_client_id = client_id
+
+
+class APIKeyAuth(ClientAuthScheme):
+    """API Key authentication (header, query, or cookie).
+
+    Attributes:
+        api_key: API key value for authentication.
+        location: Where to send the API key (header, query, or cookie).
+        name: Parameter name for the API key (default: X-API-Key).
+    """
+
+    api_key: str = Field(description="API key value")
+    location: Literal["header", "query", "cookie"] = Field(
+        default="header", description="Where to send the API key"
+    )
+    name: str = Field(default="X-API-Key", description="Parameter name for the API key")
+
+    _configured_client_ids: set[int] = PrivateAttr(default_factory=set)
+
+    async def apply_auth(
+        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
+    ) -> MutableMapping[str, str]:
+        """Apply API key authentication.
+
+        Args:
+            client: HTTP client for making auth requests.
+            headers: Current request headers.
+
+        Returns:
+            Updated headers with API key (for header/cookie locations).
+        """
+        if self.location == "header":
+            headers[self.name] = self.api_key
+        elif self.location == "cookie":
+            headers["Cookie"] = f"{self.name}={self.api_key}"
+        return headers
+
+    def configure_client(self, client: httpx.AsyncClient) -> None:
+        """Configure client for query param API keys.
+
+        Idempotent: Only adds the request hook once per client instance.
+        Subsequent calls on the same client are no-ops to prevent hook accumulation.
+
+        Args:
+            client: HTTP client to configure with query param API key hook.
+        """
+        if self.location == "query":
+            client_id = id(client)
+            if client_id in self._configured_client_ids:
+                return
+
+            async def _add_api_key_param(request: httpx.Request) -> None:
+                url = httpx.URL(request.url)
+                request.url = url.copy_add_param(self.name, self.api_key)
+
+            client.event_hooks["request"].append(_add_api_key_param)
+            self._configured_client_ids.add(client_id)
+
+
+class OAuth2ClientCredentials(ClientAuthScheme):
+    """OAuth2 Client Credentials flow authentication.
+
+    Thread-safe implementation with asyncio.Lock to prevent concurrent token fetches
+    when multiple requests share the same auth instance.
+
+    Attributes:
+        token_url: OAuth2 token endpoint URL.
+        client_id: OAuth2 client identifier.
+        client_secret: OAuth2 client secret.
+        scopes: List of required OAuth2 scopes.
+    """
+
+    token_url: str = Field(description="OAuth2 token endpoint")
+    client_id: str = Field(description="OAuth2 client ID")
+    client_secret: str = Field(description="OAuth2 client secret")
+    scopes: list[str] = Field(
+        default_factory=list, description="Required OAuth2 scopes"
+    )
+
+    _access_token: str | None = PrivateAttr(default=None)
+    _token_expires_at: float | None = PrivateAttr(default=None)
+    _lock: asyncio.Lock = PrivateAttr(default_factory=asyncio.Lock)
+
+    async def apply_auth(
+        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
+    ) -> MutableMapping[str, str]:
+        """Apply OAuth2 access token to Authorization header.
+
+        Uses asyncio.Lock to ensure only one coroutine fetches tokens at a time,
+        preventing race conditions when multiple concurrent requests use the same
+        auth instance.
+
+        Args:
+            client: HTTP client for making token requests.
+            headers: Current request headers.
+
+        Returns:
+            Updated headers with OAuth2 access token in Authorization header.
+        """
+        if (
+            self._access_token is None
+            or self._token_expires_at is None
+            or time.time() >= self._token_expires_at
+        ):
+            async with self._lock:
+                if (
+                    self._access_token is None
+                    or self._token_expires_at is None
+                    or time.time() >= self._token_expires_at
+                ):
+                    await self._fetch_token(client)
+
+        if self._access_token:
+            headers["Authorization"] = f"Bearer {self._access_token}"
+
+        return headers
+
+    async def _fetch_token(self, client: httpx.AsyncClient) -> None:
+        """Fetch OAuth2 access token using client credentials flow.
+
+        Args:
+            client: HTTP client for making token request.
+
+        Raises:
+            httpx.HTTPStatusError: If token request fails.
+        """
+        data = {
+            "grant_type": "client_credentials",
+            "client_id": self.client_id,
+            "client_secret": self.client_secret,
+        }
+
+        if self.scopes:
+            data["scope"] = " ".join(self.scopes)
+
+        response = await client.post(self.token_url, data=data)
+        response.raise_for_status()
+
+        token_data = response.json()
+        self._access_token = token_data["access_token"]
+        expires_in = token_data.get("expires_in", 3600)
+        self._token_expires_at = time.time() + expires_in - 60
+
+
+class OAuth2AuthorizationCode(ClientAuthScheme):
+    """OAuth2 Authorization Code flow authentication.
+
+    Thread-safe implementation with asyncio.Lock to prevent concurrent token operations.
+
+    Note: Requires interactive authorization.
+
+    Attributes:
+        authorization_url: OAuth2 authorization endpoint URL.
+        token_url: OAuth2 token endpoint URL.
+        client_id: OAuth2 client identifier.
+        client_secret: OAuth2 client secret.
+        redirect_uri: OAuth2 redirect URI for callback.
+        scopes: List of required OAuth2 scopes.
+    """
+
+    authorization_url: str = Field(description="OAuth2 authorization endpoint")
+    token_url: str = Field(description="OAuth2 token endpoint")
+    client_id: str = Field(description="OAuth2 client ID")
+    client_secret: str = Field(description="OAuth2 client secret")
+    redirect_uri: str = Field(description="OAuth2 redirect URI")
+    scopes: list[str] = Field(
+        default_factory=list, description="Required OAuth2 scopes"
+    )
+
+    _access_token: str | None = PrivateAttr(default=None)
+    _refresh_token: str | None = PrivateAttr(default=None)
+    _token_expires_at: float | None = PrivateAttr(default=None)
+    _authorization_callback: Callable[[str], Awaitable[str]] | None = PrivateAttr(
+        default=None
+    )
+    _lock: asyncio.Lock = PrivateAttr(default_factory=asyncio.Lock)
+
+    def set_authorization_callback(
+        self, callback: Callable[[str], Awaitable[str]] | None
+    ) -> None:
+        """Set callback to handle authorization URL.
+
+        Args:
+            callback: Async function that receives authorization URL and returns auth code.
+        """
+        self._authorization_callback = callback
+
+    async def apply_auth(
+        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
+    ) -> MutableMapping[str, str]:
+        """Apply OAuth2 access token to Authorization header.
+
+        Uses asyncio.Lock to ensure only one coroutine handles token operations
+        (initial fetch or refresh) at a time.
+
+        Args:
+            client: HTTP client for making token requests.
+            headers: Current request headers.
+
+        Returns:
+            Updated headers with OAuth2 access token in Authorization header.
+
+        Raises:
+            ValueError: If authorization callback is not set.
+        """
+        if self._access_token is None:
+            if self._authorization_callback is None:
+                msg = "Authorization callback not set. Use set_authorization_callback()"
+                raise ValueError(msg)
+            async with self._lock:
+                if self._access_token is None:
+                    await self._fetch_initial_token(client)
+        elif self._token_expires_at and time.time() >= self._token_expires_at:
+            async with self._lock:
+                if self._token_expires_at and time.time() >= self._token_expires_at:
+                    await self._refresh_access_token(client)
+
+        if self._access_token:
+            headers["Authorization"] = f"Bearer {self._access_token}"
+
+        return headers
+
+    async def _fetch_initial_token(self, client: httpx.AsyncClient) -> None:
+        """Fetch initial access token using authorization code flow.
+
+        Args:
+            client: HTTP client for making token request.
+
+        Raises:
+            ValueError: If authorization callback is not set.
+            httpx.HTTPStatusError: If token request fails.
+        """
+        params = {
+            "response_type": "code",
+            "client_id": self.client_id,
+            "redirect_uri": self.redirect_uri,
+            "scope": " ".join(self.scopes),
+        }
+        auth_url = f"{self.authorization_url}?{urllib.parse.urlencode(params)}"
+
+        if self._authorization_callback is None:
+            msg = "Authorization callback not set"
+            raise ValueError(msg)
+        auth_code = await self._authorization_callback(auth_url)
+
+        data = {
+            "grant_type": "authorization_code",
+            "code": auth_code,
+            "client_id": self.client_id,
+            "client_secret": self.client_secret,
+            "redirect_uri": self.redirect_uri,
+        }
+
+        response = await client.post(self.token_url, data=data)
+        response.raise_for_status()
+
+        token_data = response.json()
+        self._access_token = token_data["access_token"]
+        self._refresh_token = token_data.get("refresh_token")
+
+        expires_in = token_data.get("expires_in", 3600)
+        self._token_expires_at = time.time() + expires_in - 60
+
+    async def _refresh_access_token(self, client: httpx.AsyncClient) -> None:
+        """Refresh the access token using refresh token.
+
+        Args:
+            client: HTTP client for making token request.
+
+        Raises:
+            httpx.HTTPStatusError: If token refresh request fails.
+        """
+        if not self._refresh_token:
+            await self._fetch_initial_token(client)
+            return
+
+        data = {
+            "grant_type": "refresh_token",
+            "refresh_token": self._refresh_token,
+            "client_id": self.client_id,
+            "client_secret": self.client_secret,
+        }
+
+        response = await client.post(self.token_url, data=data)
+        response.raise_for_status()
+
+        token_data = response.json()
+        self._access_token = token_data["access_token"]
+        if "refresh_token" in token_data:
+            self._refresh_token = token_data["refresh_token"]
+
+        expires_in = token_data.get("expires_in", 3600)
+        self._token_expires_at = time.time() + expires_in - 60

lib/crewai/src/crewai/a2a/auth/schemas.py

@@ -1,392 +1,71 @@
-"""Authentication schemes for A2A protocol agents.
+"""Deprecated: Authentication schemes for A2A protocol agents.
 
-Supported authentication methods:
-- Bearer tokens
-- OAuth2 (Client Credentials, Authorization Code)
-- API Keys (header, query, cookie)
-- HTTP Basic authentication
-- HTTP Digest authentication
+This module is deprecated. Import from crewai.a2a.auth instead:
+- crewai.a2a.auth.ClientAuthScheme (replaces AuthScheme)
+- crewai.a2a.auth.BearerTokenAuth
+- crewai.a2a.auth.HTTPBasicAuth
+- crewai.a2a.auth.HTTPDigestAuth
+- crewai.a2a.auth.APIKeyAuth
+- crewai.a2a.auth.OAuth2ClientCredentials
+- crewai.a2a.auth.OAuth2AuthorizationCode
 """
 
 from __future__ import annotations
 
-from abc import ABC, abstractmethod
-import base64
-from collections.abc import Awaitable, Callable, MutableMapping
-import time
-from typing import Literal
-import urllib.parse
+from typing_extensions import deprecated
 
-import httpx
-from httpx import DigestAuth
-from pydantic import BaseModel, Field, PrivateAttr
+from crewai.a2a.auth.client_schemes import (
+    APIKeyAuth as _APIKeyAuth,
+    BearerTokenAuth as _BearerTokenAuth,
+    ClientAuthScheme as _ClientAuthScheme,
+    HTTPBasicAuth as _HTTPBasicAuth,
+    HTTPDigestAuth as _HTTPDigestAuth,
+    OAuth2AuthorizationCode as _OAuth2AuthorizationCode,
+    OAuth2ClientCredentials as _OAuth2ClientCredentials,
+)
 
 
-class AuthScheme(ABC, BaseModel):
-    """Base class for authentication schemes."""
+@deprecated("Use ClientAuthScheme from crewai.a2a.auth instead", category=FutureWarning)
+class AuthScheme(_ClientAuthScheme):
+    """Deprecated: Use ClientAuthScheme from crewai.a2a.auth instead."""
 
-    @abstractmethod
-    async def apply_auth(
-        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
-    ) -> MutableMapping[str, str]:
-        """Apply authentication to request headers.
 
-        Args:
-            client: HTTP client for making auth requests.
-            headers: Current request headers.
+@deprecated("Import from crewai.a2a.auth instead", category=FutureWarning)
+class BearerTokenAuth(_BearerTokenAuth):
+    """Deprecated: Import from crewai.a2a.auth instead."""
 
-        Returns:
-            Updated headers with authentication applied.
-        """
-        ...
 
+@deprecated("Import from crewai.a2a.auth instead", category=FutureWarning)
+class HTTPBasicAuth(_HTTPBasicAuth):
+    """Deprecated: Import from crewai.a2a.auth instead."""
 
-class BearerTokenAuth(AuthScheme):
-    """Bearer token authentication (Authorization: Bearer <token>).
 
-    Attributes:
-        token: Bearer token for authentication.
-    """
+@deprecated("Import from crewai.a2a.auth instead", category=FutureWarning)
+class HTTPDigestAuth(_HTTPDigestAuth):
+    """Deprecated: Import from crewai.a2a.auth instead."""
 
-    token: str = Field(description="Bearer token")
 
-    async def apply_auth(
-        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
-    ) -> MutableMapping[str, str]:
-        """Apply Bearer token to Authorization header.
+@deprecated("Import from crewai.a2a.auth instead", category=FutureWarning)
+class APIKeyAuth(_APIKeyAuth):
+    """Deprecated: Import from crewai.a2a.auth instead."""
 
-        Args:
-            client: HTTP client for making auth requests.
-            headers: Current request headers.
 
-        Returns:
-            Updated headers with Bearer token in Authorization header.
-        """
-        headers["Authorization"] = f"Bearer {self.token}"
-        return headers
+@deprecated("Import from crewai.a2a.auth instead", category=FutureWarning)
+class OAuth2ClientCredentials(_OAuth2ClientCredentials):
+    """Deprecated: Import from crewai.a2a.auth instead."""
 
 
-class HTTPBasicAuth(AuthScheme):
-    """HTTP Basic authentication.
+@deprecated("Import from crewai.a2a.auth instead", category=FutureWarning)
+class OAuth2AuthorizationCode(_OAuth2AuthorizationCode):
+    """Deprecated: Import from crewai.a2a.auth instead."""
 
-    Attributes:
-        username: Username for Basic authentication.
-        password: Password for Basic authentication.
-    """
 
-    username: str = Field(description="Username")
-    password: str = Field(description="Password")
-
-    async def apply_auth(
-        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
-    ) -> MutableMapping[str, str]:
-        """Apply HTTP Basic authentication.
-
-        Args:
-            client: HTTP client for making auth requests.
-            headers: Current request headers.
-
-        Returns:
-            Updated headers with Basic auth in Authorization header.
-        """
-        credentials = f"{self.username}:{self.password}"
-        encoded = base64.b64encode(credentials.encode()).decode()
-        headers["Authorization"] = f"Basic {encoded}"
-        return headers
-
-
-class HTTPDigestAuth(AuthScheme):
-    """HTTP Digest authentication.
-
-    Note: Uses httpx-auth library for digest implementation.
-
-    Attributes:
-        username: Username for Digest authentication.
-        password: Password for Digest authentication.
-    """
-
-    username: str = Field(description="Username")
-    password: str = Field(description="Password")
-
-    async def apply_auth(
-        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
-    ) -> MutableMapping[str, str]:
-        """Digest auth is handled by httpx auth flow, not headers.
-
-        Args:
-            client: HTTP client for making auth requests.
-            headers: Current request headers.
-
-        Returns:
-            Unchanged headers (Digest auth handled by httpx auth flow).
-        """
-        return headers
-
-    def configure_client(self, client: httpx.AsyncClient) -> None:
-        """Configure client with Digest auth.
-
-        Args:
-            client: HTTP client to configure with Digest authentication.
-        """
-        client.auth = DigestAuth(self.username, self.password)
-
-
-class APIKeyAuth(AuthScheme):
-    """API Key authentication (header, query, or cookie).
-
-    Attributes:
-        api_key: API key value for authentication.
-        location: Where to send the API key (header, query, or cookie).
-        name: Parameter name for the API key (default: X-API-Key).
-    """
-
-    api_key: str = Field(description="API key value")
-    location: Literal["header", "query", "cookie"] = Field(
-        default="header", description="Where to send the API key"
-    )
-    name: str = Field(default="X-API-Key", description="Parameter name for the API key")
-
-    async def apply_auth(
-        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
-    ) -> MutableMapping[str, str]:
-        """Apply API key authentication.
-
-        Args:
-            client: HTTP client for making auth requests.
-            headers: Current request headers.
-
-        Returns:
-            Updated headers with API key (for header/cookie locations).
-        """
-        if self.location == "header":
-            headers[self.name] = self.api_key
-        elif self.location == "cookie":
-            headers["Cookie"] = f"{self.name}={self.api_key}"
-        return headers
-
-    def configure_client(self, client: httpx.AsyncClient) -> None:
-        """Configure client for query param API keys.
-
-        Args:
-            client: HTTP client to configure with query param API key hook.
-        """
-        if self.location == "query":
-
-            async def _add_api_key_param(request: httpx.Request) -> None:
-                url = httpx.URL(request.url)
-                request.url = url.copy_add_param(self.name, self.api_key)
-
-            client.event_hooks["request"].append(_add_api_key_param)
-
-
-class OAuth2ClientCredentials(AuthScheme):
-    """OAuth2 Client Credentials flow authentication.
-
-    Attributes:
-        token_url: OAuth2 token endpoint URL.
-        client_id: OAuth2 client identifier.
-        client_secret: OAuth2 client secret.
-        scopes: List of required OAuth2 scopes.
-    """
-
-    token_url: str = Field(description="OAuth2 token endpoint")
-    client_id: str = Field(description="OAuth2 client ID")
-    client_secret: str = Field(description="OAuth2 client secret")
-    scopes: list[str] = Field(
-        default_factory=list, description="Required OAuth2 scopes"
-    )
-
-    _access_token: str | None = PrivateAttr(default=None)
-    _token_expires_at: float | None = PrivateAttr(default=None)
-
-    async def apply_auth(
-        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
-    ) -> MutableMapping[str, str]:
-        """Apply OAuth2 access token to Authorization header.
-
-        Args:
-            client: HTTP client for making token requests.
-            headers: Current request headers.
-
-        Returns:
-            Updated headers with OAuth2 access token in Authorization header.
-        """
-        if (
-            self._access_token is None
-            or self._token_expires_at is None
-            or time.time() >= self._token_expires_at
-        ):
-            await self._fetch_token(client)
-
-        if self._access_token:
-            headers["Authorization"] = f"Bearer {self._access_token}"
-
-        return headers
-
-    async def _fetch_token(self, client: httpx.AsyncClient) -> None:
-        """Fetch OAuth2 access token using client credentials flow.
-
-        Args:
-            client: HTTP client for making token request.
-
-        Raises:
-            httpx.HTTPStatusError: If token request fails.
-        """
-        data = {
-            "grant_type": "client_credentials",
-            "client_id": self.client_id,
-            "client_secret": self.client_secret,
-        }
-
-        if self.scopes:
-            data["scope"] = " ".join(self.scopes)
-
-        response = await client.post(self.token_url, data=data)
-        response.raise_for_status()
-
-        token_data = response.json()
-        self._access_token = token_data["access_token"]
-        expires_in = token_data.get("expires_in", 3600)
-        self._token_expires_at = time.time() + expires_in - 60
-
-
-class OAuth2AuthorizationCode(AuthScheme):
-    """OAuth2 Authorization Code flow authentication.
-
-    Note: Requires interactive authorization.
-
-    Attributes:
-        authorization_url: OAuth2 authorization endpoint URL.
-        token_url: OAuth2 token endpoint URL.
-        client_id: OAuth2 client identifier.
-        client_secret: OAuth2 client secret.
-        redirect_uri: OAuth2 redirect URI for callback.
-        scopes: List of required OAuth2 scopes.
-    """
-
-    authorization_url: str = Field(description="OAuth2 authorization endpoint")
-    token_url: str = Field(description="OAuth2 token endpoint")
-    client_id: str = Field(description="OAuth2 client ID")
-    client_secret: str = Field(description="OAuth2 client secret")
-    redirect_uri: str = Field(description="OAuth2 redirect URI")
-    scopes: list[str] = Field(
-        default_factory=list, description="Required OAuth2 scopes"
-    )
-
-    _access_token: str | None = PrivateAttr(default=None)
-    _refresh_token: str | None = PrivateAttr(default=None)
-    _token_expires_at: float | None = PrivateAttr(default=None)
-    _authorization_callback: Callable[[str], Awaitable[str]] | None = PrivateAttr(
-        default=None
-    )
-
-    def set_authorization_callback(
-        self, callback: Callable[[str], Awaitable[str]] | None
-    ) -> None:
-        """Set callback to handle authorization URL.
-
-        Args:
-            callback: Async function that receives authorization URL and returns auth code.
-        """
-        self._authorization_callback = callback
-
-    async def apply_auth(
-        self, client: httpx.AsyncClient, headers: MutableMapping[str, str]
-    ) -> MutableMapping[str, str]:
-        """Apply OAuth2 access token to Authorization header.
-
-        Args:
-            client: HTTP client for making token requests.
-            headers: Current request headers.
-
-        Returns:
-            Updated headers with OAuth2 access token in Authorization header.
-
-        Raises:
-            ValueError: If authorization callback is not set.
-        """
-
-        if self._access_token is None:
-            if self._authorization_callback is None:
-                msg = "Authorization callback not set. Use set_authorization_callback()"
-                raise ValueError(msg)
-            await self._fetch_initial_token(client)
-        elif self._token_expires_at and time.time() >= self._token_expires_at:
-            await self._refresh_access_token(client)
-
-        if self._access_token:
-            headers["Authorization"] = f"Bearer {self._access_token}"
-
-        return headers
-
-    async def _fetch_initial_token(self, client: httpx.AsyncClient) -> None:
-        """Fetch initial access token using authorization code flow.
-
-        Args:
-            client: HTTP client for making token request.
-
-        Raises:
-            ValueError: If authorization callback is not set.
-            httpx.HTTPStatusError: If token request fails.
-        """
-        params = {
-            "response_type": "code",
-            "client_id": self.client_id,
-            "redirect_uri": self.redirect_uri,
-            "scope": " ".join(self.scopes),
-        }
-        auth_url = f"{self.authorization_url}?{urllib.parse.urlencode(params)}"
-
-        if self._authorization_callback is None:
-            msg = "Authorization callback not set"
-            raise ValueError(msg)
-        auth_code = await self._authorization_callback(auth_url)
-
-        data = {
-            "grant_type": "authorization_code",
-            "code": auth_code,
-            "client_id": self.client_id,
-            "client_secret": self.client_secret,
-            "redirect_uri": self.redirect_uri,
-        }
-
-        response = await client.post(self.token_url, data=data)
-        response.raise_for_status()
-
-        token_data = response.json()
-        self._access_token = token_data["access_token"]
-        self._refresh_token = token_data.get("refresh_token")
-
-        expires_in = token_data.get("expires_in", 3600)
-        self._token_expires_at = time.time() + expires_in - 60
-
-    async def _refresh_access_token(self, client: httpx.AsyncClient) -> None:
-        """Refresh the access token using refresh token.
-
-        Args:
-            client: HTTP client for making token request.
-
-        Raises:
-            httpx.HTTPStatusError: If token refresh request fails.
-        """
-        if not self._refresh_token:
-            await self._fetch_initial_token(client)
-            return
-
-        data = {
-            "grant_type": "refresh_token",
-            "refresh_token": self._refresh_token,
-            "client_id": self.client_id,
-            "client_secret": self.client_secret,
-        }
-
-        response = await client.post(self.token_url, data=data)
-        response.raise_for_status()
-
-        token_data = response.json()
-        self._access_token = token_data["access_token"]
-        if "refresh_token" in token_data:
-            self._refresh_token = token_data["refresh_token"]
-
-        expires_in = token_data.get("expires_in", 3600)
-        self._token_expires_at = time.time() + expires_in - 60
+__all__ = [
+    "APIKeyAuth",
+    "AuthScheme",
+    "BearerTokenAuth",
+    "HTTPBasicAuth",
+    "HTTPDigestAuth",
+    "OAuth2AuthorizationCode",
+    "OAuth2ClientCredentials",
+]

lib/crewai/src/crewai/a2a/auth/server_schemes.py

@@ -0,0 +1,739 @@
+"""Server-side authentication schemes for A2A protocol.
+
+These schemes validate incoming requests to A2A server endpoints.
+
+Supported authentication methods:
+- Simple token validation with static bearer tokens
+- OpenID Connect with JWT validation using JWKS
+- OAuth2 with JWT validation or token introspection
+"""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
+import logging
+import os
+from typing import TYPE_CHECKING, Annotated, Any, ClassVar, Literal
+
+import jwt
+from jwt import PyJWKClient
+from pydantic import (
+    BaseModel,
+    BeforeValidator,
+    ConfigDict,
+    Field,
+    HttpUrl,
+    PrivateAttr,
+    SecretStr,
+    model_validator,
+)
+from typing_extensions import Self
+
+
+if TYPE_CHECKING:
+    from a2a.types import OAuth2SecurityScheme
+
+
+logger = logging.getLogger(__name__)
+
+
+try:
+    from fastapi import HTTPException, status as http_status
+
+    HTTP_401_UNAUTHORIZED = http_status.HTTP_401_UNAUTHORIZED
+    HTTP_500_INTERNAL_SERVER_ERROR = http_status.HTTP_500_INTERNAL_SERVER_ERROR
+    HTTP_503_SERVICE_UNAVAILABLE = http_status.HTTP_503_SERVICE_UNAVAILABLE
+except ImportError:
+
+    class HTTPException(Exception):  # type: ignore[no-redef]  # noqa: N818
+        """Fallback HTTPException when FastAPI is not installed."""
+
+        def __init__(
+            self,
+            status_code: int,
+            detail: str | None = None,
+            headers: dict[str, str] | None = None,
+        ) -> None:
+            self.status_code = status_code
+            self.detail = detail
+            self.headers = headers
+            super().__init__(detail)
+
+    HTTP_401_UNAUTHORIZED = 401
+    HTTP_500_INTERNAL_SERVER_ERROR = 500
+    HTTP_503_SERVICE_UNAVAILABLE = 503
+
+
+def _coerce_secret_str(v: str | SecretStr | None) -> SecretStr | None:
+    """Coerce string to SecretStr."""
+    if v is None or isinstance(v, SecretStr):
+        return v
+    return SecretStr(v)
+
+
+CoercedSecretStr = Annotated[SecretStr, BeforeValidator(_coerce_secret_str)]
+
+JWTAlgorithm = Literal[
+    "RS256",
+    "RS384",
+    "RS512",
+    "ES256",
+    "ES384",
+    "ES512",
+    "PS256",
+    "PS384",
+    "PS512",
+]
+
+
+@dataclass
+class AuthenticatedUser:
+    """Result of successful authentication.
+
+    Attributes:
+        token: The original token that was validated.
+        scheme: Name of the authentication scheme used.
+        claims: JWT claims from OIDC or OAuth2 authentication.
+    """
+
+    token: str
+    scheme: str
+    claims: dict[str, Any] | None = None
+
+
+class ServerAuthScheme(ABC, BaseModel):
+    """Base class for server-side authentication schemes.
+
+    Each scheme validates incoming requests and returns an AuthenticatedUser
+    on success, or raises HTTPException on failure.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    @abstractmethod
+    async def authenticate(self, token: str) -> AuthenticatedUser:
+        """Authenticate the provided token.
+
+        Args:
+            token: The bearer token to authenticate.
+
+        Returns:
+            AuthenticatedUser on successful authentication.
+
+        Raises:
+            HTTPException: If authentication fails.
+        """
+        ...
+
+
+class SimpleTokenAuth(ServerAuthScheme):
+    """Simple bearer token authentication.
+
+    Validates tokens against a configured static token or AUTH_TOKEN env var.
+
+    Attributes:
+        token: Expected token value. Falls back to AUTH_TOKEN env var if not set.
+    """
+
+    token: CoercedSecretStr | None = Field(
+        default=None,
+        description="Expected token. Falls back to AUTH_TOKEN env var.",
+    )
+
+    def _get_expected_token(self) -> str | None:
+        """Get the expected token value."""
+        if self.token:
+            return self.token.get_secret_value()
+        return os.environ.get("AUTH_TOKEN")
+
+    async def authenticate(self, token: str) -> AuthenticatedUser:
+        """Authenticate using simple token comparison.
+
+        Args:
+            token: The bearer token to authenticate.
+
+        Returns:
+            AuthenticatedUser on successful authentication.
+
+        Raises:
+            HTTPException: If authentication fails.
+        """
+        expected = self._get_expected_token()
+
+        if expected is None:
+            logger.warning(
+                "Simple token authentication failed",
+                extra={"reason": "no_token_configured"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Authentication not configured",
+            )
+
+        if token != expected:
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Invalid or missing authentication credentials",
+            )
+
+        return AuthenticatedUser(
+            token=token,
+            scheme="simple_token",
+        )
+
+
+class OIDCAuth(ServerAuthScheme):
+    """OpenID Connect authentication.
+
+    Validates JWTs using JWKS with caching support via PyJWT.
+
+    Attributes:
+        issuer: The OpenID Connect issuer URL.
+        audience: The expected audience claim.
+        jwks_url: Optional explicit JWKS URL. Derived from issuer if not set.
+        algorithms: List of allowed signing algorithms.
+        required_claims: List of claims that must be present in the token.
+        jwks_cache_ttl: TTL for JWKS cache in seconds.
+        clock_skew_seconds: Allowed clock skew for token validation.
+    """
+
+    issuer: HttpUrl = Field(
+        description="OpenID Connect issuer URL (e.g., https://auth.example.com)"
+    )
+    audience: str = Field(description="Expected audience claim (e.g., api://my-agent)")
+    jwks_url: HttpUrl | None = Field(
+        default=None,
+        description="Explicit JWKS URL. Derived from issuer if not set.",
+    )
+    algorithms: list[str] = Field(
+        default_factory=lambda: ["RS256"],
+        description="List of allowed signing algorithms (RS256, ES256, etc.)",
+    )
+    required_claims: list[str] = Field(
+        default_factory=lambda: ["exp", "iat", "iss", "aud", "sub"],
+        description="List of claims that must be present in the token",
+    )
+    jwks_cache_ttl: int = Field(
+        default=3600,
+        description="TTL for JWKS cache in seconds",
+        ge=60,
+    )
+    clock_skew_seconds: float = Field(
+        default=30.0,
+        description="Allowed clock skew for token validation",
+        ge=0.0,
+    )
+
+    _jwk_client: PyJWKClient | None = PrivateAttr(default=None)
+
+    @model_validator(mode="after")
+    def _init_jwk_client(self) -> Self:
+        """Initialize the JWK client after model creation."""
+        jwks_url = (
+            str(self.jwks_url)
+            if self.jwks_url
+            else f"{str(self.issuer).rstrip('/')}/.well-known/jwks.json"
+        )
+        self._jwk_client = PyJWKClient(jwks_url, lifespan=self.jwks_cache_ttl)
+        return self
+
+    async def authenticate(self, token: str) -> AuthenticatedUser:
+        """Authenticate using OIDC JWT validation.
+
+        Args:
+            token: The JWT to authenticate.
+
+        Returns:
+            AuthenticatedUser on successful authentication.
+
+        Raises:
+            HTTPException: If authentication fails.
+        """
+        if self._jwk_client is None:
+            raise HTTPException(
+                status_code=HTTP_500_INTERNAL_SERVER_ERROR,
+                detail="OIDC not initialized",
+            )
+
+        try:
+            signing_key = self._jwk_client.get_signing_key_from_jwt(token)
+
+            claims = jwt.decode(
+                token,
+                signing_key.key,
+                algorithms=self.algorithms,
+                audience=self.audience,
+                issuer=str(self.issuer).rstrip("/"),
+                leeway=self.clock_skew_seconds,
+                options={
+                    "require": self.required_claims,
+                },
+            )
+
+            return AuthenticatedUser(
+                token=token,
+                scheme="oidc",
+                claims=claims,
+            )
+
+        except jwt.ExpiredSignatureError:
+            logger.debug(
+                "OIDC authentication failed",
+                extra={"reason": "token_expired", "scheme": "oidc"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Token has expired",
+            ) from None
+        except jwt.InvalidAudienceError:
+            logger.debug(
+                "OIDC authentication failed",
+                extra={"reason": "invalid_audience", "scheme": "oidc"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Invalid token audience",
+            ) from None
+        except jwt.InvalidIssuerError:
+            logger.debug(
+                "OIDC authentication failed",
+                extra={"reason": "invalid_issuer", "scheme": "oidc"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Invalid token issuer",
+            ) from None
+        except jwt.MissingRequiredClaimError as e:
+            logger.debug(
+                "OIDC authentication failed",
+                extra={"reason": "missing_claim", "claim": e.claim, "scheme": "oidc"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail=f"Missing required claim: {e.claim}",
+            ) from None
+        except jwt.PyJWKClientError as e:
+            logger.error(
+                "OIDC authentication failed",
+                extra={
+                    "reason": "jwks_client_error",
+                    "error": str(e),
+                    "scheme": "oidc",
+                },
+            )
+            raise HTTPException(
+                status_code=HTTP_503_SERVICE_UNAVAILABLE,
+                detail="Unable to fetch signing keys",
+            ) from None
+        except jwt.InvalidTokenError as e:
+            logger.debug(
+                "OIDC authentication failed",
+                extra={"reason": "invalid_token", "error": str(e), "scheme": "oidc"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Invalid or missing authentication credentials",
+            ) from None
+
+
+class OAuth2ServerAuth(ServerAuthScheme):
+    """OAuth2 authentication for A2A server.
+
+    Declares OAuth2 security scheme in AgentCard and validates tokens using
+    either JWKS for JWT tokens or token introspection for opaque tokens.
+
+    This is distinct from OIDCAuth in that it declares an explicit OAuth2SecurityScheme
+    with flows, rather than an OpenIdConnectSecurityScheme with discovery URL.
+
+    Attributes:
+        token_url: OAuth2 token endpoint URL for client_credentials flow.
+        authorization_url: OAuth2 authorization endpoint for authorization_code flow.
+        refresh_url: Optional refresh token endpoint URL.
+        scopes: Available OAuth2 scopes with descriptions.
+        jwks_url: JWKS URL for JWT validation. Required if not using introspection.
+        introspection_url: Token introspection endpoint (RFC 7662). Alternative to JWKS.
+        introspection_client_id: Client ID for introspection endpoint authentication.
+        introspection_client_secret: Client secret for introspection endpoint.
+        audience: Expected audience claim for JWT validation.
+        issuer: Expected issuer claim for JWT validation.
+        algorithms: Allowed JWT signing algorithms.
+        required_claims: Claims that must be present in the token.
+        jwks_cache_ttl: TTL for JWKS cache in seconds.
+        clock_skew_seconds: Allowed clock skew for token validation.
+    """
+
+    token_url: HttpUrl = Field(
+        description="OAuth2 token endpoint URL",
+    )
+    authorization_url: HttpUrl | None = Field(
+        default=None,
+        description="OAuth2 authorization endpoint URL for authorization_code flow",
+    )
+    refresh_url: HttpUrl | None = Field(
+        default=None,
+        description="OAuth2 refresh token endpoint URL",
+    )
+    scopes: dict[str, str] = Field(
+        default_factory=dict,
+        description="Available OAuth2 scopes with descriptions",
+    )
+    jwks_url: HttpUrl | None = Field(
+        default=None,
+        description="JWKS URL for JWT validation. Required if not using introspection.",
+    )
+    introspection_url: HttpUrl | None = Field(
+        default=None,
+        description="Token introspection endpoint (RFC 7662). Alternative to JWKS.",
+    )
+    introspection_client_id: str | None = Field(
+        default=None,
+        description="Client ID for introspection endpoint authentication",
+    )
+    introspection_client_secret: CoercedSecretStr | None = Field(
+        default=None,
+        description="Client secret for introspection endpoint authentication",
+    )
+    audience: str | None = Field(
+        default=None,
+        description="Expected audience claim for JWT validation",
+    )
+    issuer: str | None = Field(
+        default=None,
+        description="Expected issuer claim for JWT validation",
+    )
+    algorithms: list[str] = Field(
+        default_factory=lambda: ["RS256"],
+        description="Allowed JWT signing algorithms",
+    )
+    required_claims: list[str] = Field(
+        default_factory=lambda: ["exp", "iat"],
+        description="Claims that must be present in the token",
+    )
+    jwks_cache_ttl: int = Field(
+        default=3600,
+        description="TTL for JWKS cache in seconds",
+        ge=60,
+    )
+    clock_skew_seconds: float = Field(
+        default=30.0,
+        description="Allowed clock skew for token validation",
+        ge=0.0,
+    )
+
+    _jwk_client: PyJWKClient | None = PrivateAttr(default=None)
+
+    @model_validator(mode="after")
+    def _validate_and_init(self) -> Self:
+        """Validate configuration and initialize JWKS client if needed."""
+        if not self.jwks_url and not self.introspection_url:
+            raise ValueError(
+                "Either jwks_url or introspection_url must be provided for token validation"
+            )
+
+        if self.introspection_url:
+            if not self.introspection_client_id or not self.introspection_client_secret:
+                raise ValueError(
+                    "introspection_client_id and introspection_client_secret are required "
+                    "when using token introspection"
+                )
+
+        if self.jwks_url:
+            self._jwk_client = PyJWKClient(
+                str(self.jwks_url), lifespan=self.jwks_cache_ttl
+            )
+
+        return self
+
+    async def authenticate(self, token: str) -> AuthenticatedUser:
+        """Authenticate using OAuth2 token validation.
+
+        Uses JWKS validation if jwks_url is configured, otherwise falls back
+        to token introspection.
+
+        Args:
+            token: The OAuth2 access token to authenticate.
+
+        Returns:
+            AuthenticatedUser on successful authentication.
+
+        Raises:
+            HTTPException: If authentication fails.
+        """
+        if self._jwk_client:
+            return await self._authenticate_jwt(token)
+        return await self._authenticate_introspection(token)
+
+    async def _authenticate_jwt(self, token: str) -> AuthenticatedUser:
+        """Authenticate using JWKS JWT validation."""
+        if self._jwk_client is None:
+            raise HTTPException(
+                status_code=HTTP_500_INTERNAL_SERVER_ERROR,
+                detail="OAuth2 JWKS not initialized",
+            )
+
+        try:
+            signing_key = self._jwk_client.get_signing_key_from_jwt(token)
+
+            decode_options: dict[str, Any] = {
+                "require": self.required_claims,
+            }
+
+            claims = jwt.decode(
+                token,
+                signing_key.key,
+                algorithms=self.algorithms,
+                audience=self.audience,
+                issuer=self.issuer,
+                leeway=self.clock_skew_seconds,
+                options=decode_options,
+            )
+
+            return AuthenticatedUser(
+                token=token,
+                scheme="oauth2",
+                claims=claims,
+            )
+
+        except jwt.ExpiredSignatureError:
+            logger.debug(
+                "OAuth2 authentication failed",
+                extra={"reason": "token_expired", "scheme": "oauth2"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Token has expired",
+            ) from None
+        except jwt.InvalidAudienceError:
+            logger.debug(
+                "OAuth2 authentication failed",
+                extra={"reason": "invalid_audience", "scheme": "oauth2"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Invalid token audience",
+            ) from None
+        except jwt.InvalidIssuerError:
+            logger.debug(
+                "OAuth2 authentication failed",
+                extra={"reason": "invalid_issuer", "scheme": "oauth2"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Invalid token issuer",
+            ) from None
+        except jwt.MissingRequiredClaimError as e:
+            logger.debug(
+                "OAuth2 authentication failed",
+                extra={"reason": "missing_claim", "claim": e.claim, "scheme": "oauth2"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail=f"Missing required claim: {e.claim}",
+            ) from None
+        except jwt.PyJWKClientError as e:
+            logger.error(
+                "OAuth2 authentication failed",
+                extra={
+                    "reason": "jwks_client_error",
+                    "error": str(e),
+                    "scheme": "oauth2",
+                },
+            )
+            raise HTTPException(
+                status_code=HTTP_503_SERVICE_UNAVAILABLE,
+                detail="Unable to fetch signing keys",
+            ) from None
+        except jwt.InvalidTokenError as e:
+            logger.debug(
+                "OAuth2 authentication failed",
+                extra={"reason": "invalid_token", "error": str(e), "scheme": "oauth2"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Invalid or missing authentication credentials",
+            ) from None
+
+    async def _authenticate_introspection(self, token: str) -> AuthenticatedUser:
+        """Authenticate using OAuth2 token introspection (RFC 7662)."""
+        import httpx
+
+        if not self.introspection_url:
+            raise HTTPException(
+                status_code=HTTP_500_INTERNAL_SERVER_ERROR,
+                detail="OAuth2 introspection not configured",
+            )
+
+        try:
+            async with httpx.AsyncClient() as client:
+                response = await client.post(
+                    str(self.introspection_url),
+                    data={"token": token},
+                    auth=(
+                        self.introspection_client_id or "",
+                        self.introspection_client_secret.get_secret_value()
+                        if self.introspection_client_secret
+                        else "",
+                    ),
+                )
+                response.raise_for_status()
+                introspection_result = response.json()
+
+        except httpx.HTTPStatusError as e:
+            logger.error(
+                "OAuth2 introspection failed",
+                extra={"reason": "http_error", "status_code": e.response.status_code},
+            )
+            raise HTTPException(
+                status_code=HTTP_503_SERVICE_UNAVAILABLE,
+                detail="Token introspection service unavailable",
+            ) from None
+        except Exception as e:
+            logger.error(
+                "OAuth2 introspection failed",
+                extra={"reason": "unexpected_error", "error": str(e)},
+            )
+            raise HTTPException(
+                status_code=HTTP_503_SERVICE_UNAVAILABLE,
+                detail="Token introspection failed",
+            ) from None
+
+        if not introspection_result.get("active", False):
+            logger.debug(
+                "OAuth2 authentication failed",
+                extra={"reason": "token_not_active", "scheme": "oauth2"},
+            )
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Token is not active",
+            )
+
+        return AuthenticatedUser(
+            token=token,
+            scheme="oauth2",
+            claims=introspection_result,
+        )
+
+    def to_security_scheme(self) -> OAuth2SecurityScheme:
+        """Generate OAuth2SecurityScheme for AgentCard declaration.
+
+        Creates an OAuth2SecurityScheme with appropriate flows based on
+        the configured URLs. Includes client_credentials flow if token_url
+        is set, and authorization_code flow if authorization_url is set.
+
+        Returns:
+            OAuth2SecurityScheme suitable for use in AgentCard security_schemes.
+        """
+        from a2a.types import (
+            AuthorizationCodeOAuthFlow,
+            ClientCredentialsOAuthFlow,
+            OAuth2SecurityScheme,
+            OAuthFlows,
+        )
+
+        client_credentials = None
+        authorization_code = None
+
+        if self.token_url:
+            client_credentials = ClientCredentialsOAuthFlow(
+                token_url=str(self.token_url),
+                refresh_url=str(self.refresh_url) if self.refresh_url else None,
+                scopes=self.scopes,
+            )
+
+        if self.authorization_url:
+            authorization_code = AuthorizationCodeOAuthFlow(
+                authorization_url=str(self.authorization_url),
+                token_url=str(self.token_url),
+                refresh_url=str(self.refresh_url) if self.refresh_url else None,
+                scopes=self.scopes,
+            )
+
+        return OAuth2SecurityScheme(
+            flows=OAuthFlows(
+                client_credentials=client_credentials,
+                authorization_code=authorization_code,
+            ),
+            description="OAuth2 authentication",
+        )
+
+
+class APIKeyServerAuth(ServerAuthScheme):
+    """API Key authentication for A2A server.
+
+    Validates requests using an API key in a header, query parameter, or cookie.
+
+    Attributes:
+        name: The name of the API key parameter (default: X-API-Key).
+        location: Where to look for the API key (header, query, or cookie).
+        api_key: The expected API key value.
+    """
+
+    name: str = Field(
+        default="X-API-Key",
+        description="Name of the API key parameter",
+    )
+    location: Literal["header", "query", "cookie"] = Field(
+        default="header",
+        description="Where to look for the API key",
+    )
+    api_key: CoercedSecretStr = Field(
+        description="Expected API key value",
+    )
+
+    async def authenticate(self, token: str) -> AuthenticatedUser:
+        """Authenticate using API key comparison.
+
+        Args:
+            token: The API key to authenticate.
+
+        Returns:
+            AuthenticatedUser on successful authentication.
+
+        Raises:
+            HTTPException: If authentication fails.
+        """
+        if token != self.api_key.get_secret_value():
+            raise HTTPException(
+                status_code=HTTP_401_UNAUTHORIZED,
+                detail="Invalid API key",
+            )
+
+        return AuthenticatedUser(
+            token=token,
+            scheme="api_key",
+        )
+
+
+class MTLSServerAuth(ServerAuthScheme):
+    """Mutual TLS authentication marker for AgentCard declaration.
+
+    This scheme is primarily for AgentCard security_schemes declaration.
+    Actual mTLS verification happens at the TLS/transport layer, not
+    at the application layer via token validation.
+
+    When configured, this signals to clients that the server requires
+    client certificates for authentication.
+    """
+
+    description: str = Field(
+        default="Mutual TLS certificate authentication",
+        description="Description for the security scheme",
+    )
+
+    async def authenticate(self, token: str) -> AuthenticatedUser:
+        """Return authenticated user for mTLS.
+
+        mTLS verification happens at the transport layer before this is called.
+        If we reach this point, the TLS handshake with client cert succeeded.
+
+        Args:
+            token: Certificate subject or identifier (from TLS layer).
+
+        Returns:
+            AuthenticatedUser indicating mTLS authentication.
+        """
+        return AuthenticatedUser(
+            token=token or "mtls-verified",
+            scheme="mtls",
+        )

lib/crewai/src/crewai/a2a/auth/utils.py

@@ -6,8 +6,10 @@ OAuth2, API keys, and HTTP authentication methods.
 
 import asyncio
 from collections.abc import Awaitable, Callable, MutableMapping
+import hashlib
 import re
-from typing import Final
+import threading
+from typing import Final, Literal, cast
 
 from a2a.client.errors import A2AClientHTTPError
 from a2a.types import (
@@ -18,10 +20,10 @@ from a2a.types import (
 )
 from httpx import AsyncClient, Response
 
-from crewai.a2a.auth.schemas import (
+from crewai.a2a.auth.client_schemes import (
     APIKeyAuth,
-    AuthScheme,
     BearerTokenAuth,
+    ClientAuthScheme,
     HTTPBasicAuth,
     HTTPDigestAuth,
     OAuth2AuthorizationCode,
@@ -29,12 +31,44 @@ from crewai.a2a.auth.schemas import (
 )
 
 
-_auth_store: dict[int, AuthScheme | None] = {}
+class _AuthStore:
+    """Store for authentication schemes with safe concurrent access."""
+
+    def __init__(self) -> None:
+        self._store: dict[str, ClientAuthScheme | None] = {}
+        self._lock = threading.RLock()
+
+    @staticmethod
+    def compute_key(auth_type: str, auth_data: str) -> str:
+        """Compute a collision-resistant key using SHA-256."""
+        content = f"{auth_type}:{auth_data}"
+        return hashlib.sha256(content.encode()).hexdigest()
+
+    def set(self, key: str, auth: ClientAuthScheme | None) -> None:
+        """Store an auth scheme."""
+        with self._lock:
+            self._store[key] = auth
+
+    def get(self, key: str) -> ClientAuthScheme | None:
+        """Retrieve an auth scheme by key."""
+        with self._lock:
+            return self._store.get(key)
+
+    def __setitem__(self, key: str, value: ClientAuthScheme | None) -> None:
+        with self._lock:
+            self._store[key] = value
+
+    def __getitem__(self, key: str) -> ClientAuthScheme | None:
+        with self._lock:
+            return self._store[key]
+
+
+_auth_store = _AuthStore()
 
 _SCHEME_PATTERN: Final[re.Pattern[str]] = re.compile(r"(\w+)\s+(.+?)(?=,\s*\w+\s+|$)")
 _PARAM_PATTERN: Final[re.Pattern[str]] = re.compile(r'(\w+)=(?:"([^"]*)"|([^\s,]+))')
 
-_SCHEME_AUTH_MAPPING: Final[dict[type, tuple[type[AuthScheme], ...]]] = {
+_SCHEME_AUTH_MAPPING: Final[dict[type, tuple[type[ClientAuthScheme], ...]]] = {
     OAuth2SecurityScheme: (
         OAuth2ClientCredentials,
         OAuth2AuthorizationCode,
@@ -43,7 +77,9 @@ _SCHEME_AUTH_MAPPING: Final[dict[type, tuple[type[AuthScheme], ...]]] = {
     APIKeySecurityScheme: (APIKeyAuth,),
 }
 
-_HTTP_SCHEME_MAPPING: Final[dict[str, type[AuthScheme]]] = {
+_HTTPSchemeType = Literal["basic", "digest", "bearer"]
+
+_HTTP_SCHEME_MAPPING: Final[dict[_HTTPSchemeType, type[ClientAuthScheme]]] = {
     "basic": HTTPBasicAuth,
     "digest": HTTPDigestAuth,
     "bearer": BearerTokenAuth,
@@ -51,8 +87,8 @@ _HTTP_SCHEME_MAPPING: Final[dict[str, type[AuthScheme]]] = {
 
 
 def _raise_auth_mismatch(
-    expected_classes: type[AuthScheme] | tuple[type[AuthScheme], ...],
-    provided_auth: AuthScheme,
+    expected_classes: type[ClientAuthScheme] | tuple[type[ClientAuthScheme], ...],
+    provided_auth: ClientAuthScheme,
 ) -> None:
     """Raise authentication mismatch error.
 
@@ -111,7 +147,7 @@ def parse_www_authenticate(header_value: str) -> dict[str, dict[str, str]]:
 
 
 def validate_auth_against_agent_card(
-    agent_card: AgentCard, auth: AuthScheme | None
+    agent_card: AgentCard, auth: ClientAuthScheme | None
 ) -> None:
     """Validate that provided auth matches AgentCard security requirements.
 
@@ -145,7 +181,8 @@ def validate_auth_against_agent_card(
             return
 
         if isinstance(scheme, HTTPAuthSecurityScheme):
-            if required_class := _HTTP_SCHEME_MAPPING.get(scheme.scheme.lower()):
+            scheme_key = cast(_HTTPSchemeType, scheme.scheme.lower())
+            if required_class := _HTTP_SCHEME_MAPPING.get(scheme_key):
                 if not isinstance(auth, required_class):
                     _raise_auth_mismatch(required_class, auth)
             return
@@ -156,7 +193,7 @@ def validate_auth_against_agent_card(
 
 async def retry_on_401(
     request_func: Callable[[], Awaitable[Response]],
-    auth_scheme: AuthScheme | None,
+    auth_scheme: ClientAuthScheme | None,
     client: AsyncClient,
     headers: MutableMapping[str, str],
     max_retries: int = 3,

lib/crewai/src/crewai/a2a/config.py

@@ -5,14 +5,25 @@ This module is separate from experimental.a2a to avoid circular imports.
 
 from __future__ import annotations
 
-from importlib.metadata import version
-from typing import Any, ClassVar, Literal
+from pathlib import Path
+from typing import Any, ClassVar, Literal, cast
+import warnings
 
-from pydantic import BaseModel, ConfigDict, Field
-from typing_extensions import deprecated
+from pydantic import (
+    BaseModel,
+    ConfigDict,
+    Field,
+    FilePath,
+    PrivateAttr,
+    SecretStr,
+    model_validator,
+)
+from typing_extensions import Self, deprecated
 
-from crewai.a2a.auth.schemas import AuthScheme
-from crewai.a2a.types import TransportType, Url
+from crewai.a2a.auth.client_schemes import ClientAuthScheme
+from crewai.a2a.auth.server_schemes import ServerAuthScheme
+from crewai.a2a.extensions.base import ValidatedA2AExtension
+from crewai.a2a.types import ProtocolVersion, TransportType, Url
 
 
 try:
@@ -25,16 +36,17 @@ try:
         SecurityScheme,
     )
 
+    from crewai.a2a.extensions.server import ServerExtension
     from crewai.a2a.updates import UpdateConfig
 except ImportError:
-    UpdateConfig = Any
-    AgentCapabilities = Any
-    AgentCardSignature = Any
-    AgentInterface = Any
-    AgentProvider = Any
-    SecurityScheme = Any
-    AgentSkill = Any
-    UpdateConfig = Any  # type: ignore[misc,assignment]
+    UpdateConfig: Any = Any  # type: ignore[no-redef]
+    AgentCapabilities: Any = Any  # type: ignore[no-redef]
+    AgentCardSignature: Any = Any  # type: ignore[no-redef]
+    AgentInterface: Any = Any  # type: ignore[no-redef]
+    AgentProvider: Any = Any  # type: ignore[no-redef]
+    SecurityScheme: Any = Any  # type: ignore[no-redef]
+    AgentSkill: Any = Any  # type: ignore[no-redef]
+    ServerExtension: Any = Any  # type: ignore[no-redef]
 
 
 def _get_default_update_config() -> UpdateConfig:
@@ -43,6 +55,309 @@ def _get_default_update_config() -> UpdateConfig:
     return StreamingConfig()
 
 
+SigningAlgorithm = Literal[
+    "RS256",
+    "RS384",
+    "RS512",
+    "ES256",
+    "ES384",
+    "ES512",
+    "PS256",
+    "PS384",
+    "PS512",
+]
+
+
+class AgentCardSigningConfig(BaseModel):
+    """Configuration for AgentCard JWS signing.
+
+    Provides the private key and algorithm settings for signing AgentCards.
+    Either private_key_path or private_key_pem must be provided, but not both.
+
+    Attributes:
+        private_key_path: Path to a PEM-encoded private key file.
+        private_key_pem: PEM-encoded private key as a secret string.
+        key_id: Optional key identifier for the JWS header (kid claim).
+        algorithm: Signing algorithm (RS256, ES256, PS256, etc.).
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    private_key_path: FilePath | None = Field(
+        default=None,
+        description="Path to PEM-encoded private key file",
+    )
+    private_key_pem: SecretStr | None = Field(
+        default=None,
+        description="PEM-encoded private key",
+    )
+    key_id: str | None = Field(
+        default=None,
+        description="Key identifier for JWS header (kid claim)",
+    )
+    algorithm: SigningAlgorithm = Field(
+        default="RS256",
+        description="Signing algorithm (RS256, ES256, PS256, etc.)",
+    )
+
+    @model_validator(mode="after")
+    def _validate_key_source(self) -> Self:
+        """Ensure exactly one key source is provided."""
+        has_path = self.private_key_path is not None
+        has_pem = self.private_key_pem is not None
+
+        if not has_path and not has_pem:
+            raise ValueError(
+                "Either private_key_path or private_key_pem must be provided"
+            )
+        if has_path and has_pem:
+            raise ValueError(
+                "Only one of private_key_path or private_key_pem should be provided"
+            )
+        return self
+
+    def get_private_key(self) -> str:
+        """Get the private key content.
+
+        Returns:
+            The PEM-encoded private key as a string.
+        """
+        if self.private_key_pem:
+            return self.private_key_pem.get_secret_value()
+        if self.private_key_path:
+            return Path(self.private_key_path).read_text()
+        raise ValueError("No private key configured")
+
+
+class GRPCServerConfig(BaseModel):
+    """gRPC server transport configuration.
+
+    Presence of this config in ServerTransportConfig.grpc enables gRPC transport.
+
+    Attributes:
+        host: Hostname to advertise in agent cards (default: localhost).
+            Use docker service name (e.g., 'web') for docker-compose setups.
+        port: Port for the gRPC server.
+        tls_cert_path: Path to TLS certificate file for gRPC.
+        tls_key_path: Path to TLS private key file for gRPC.
+        max_workers: Maximum number of workers for the gRPC thread pool.
+        reflection_enabled: Whether to enable gRPC reflection for debugging.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    host: str = Field(
+        default="localhost",
+        description="Hostname to advertise in agent cards for gRPC connections",
+    )
+    port: int = Field(
+        default=50051,
+        description="Port for the gRPC server",
+    )
+    tls_cert_path: str | None = Field(
+        default=None,
+        description="Path to TLS certificate file for gRPC",
+    )
+    tls_key_path: str | None = Field(
+        default=None,
+        description="Path to TLS private key file for gRPC",
+    )
+    max_workers: int = Field(
+        default=10,
+        description="Maximum number of workers for the gRPC thread pool",
+    )
+    reflection_enabled: bool = Field(
+        default=False,
+        description="Whether to enable gRPC reflection for debugging",
+    )
+
+
+class GRPCClientConfig(BaseModel):
+    """gRPC client transport configuration.
+
+    Attributes:
+        max_send_message_length: Maximum size for outgoing messages in bytes.
+        max_receive_message_length: Maximum size for incoming messages in bytes.
+        keepalive_time_ms: Time between keepalive pings in milliseconds.
+        keepalive_timeout_ms: Timeout for keepalive ping response in milliseconds.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    max_send_message_length: int | None = Field(
+        default=None,
+        description="Maximum size for outgoing messages in bytes",
+    )
+    max_receive_message_length: int | None = Field(
+        default=None,
+        description="Maximum size for incoming messages in bytes",
+    )
+    keepalive_time_ms: int | None = Field(
+        default=None,
+        description="Time between keepalive pings in milliseconds",
+    )
+    keepalive_timeout_ms: int | None = Field(
+        default=None,
+        description="Timeout for keepalive ping response in milliseconds",
+    )
+
+
+class JSONRPCServerConfig(BaseModel):
+    """JSON-RPC server transport configuration.
+
+    Presence of this config in ServerTransportConfig.jsonrpc enables JSON-RPC transport.
+
+    Attributes:
+        rpc_path: URL path for the JSON-RPC endpoint.
+        agent_card_path: URL path for the agent card endpoint.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    rpc_path: str = Field(
+        default="/a2a",
+        description="URL path for the JSON-RPC endpoint",
+    )
+    agent_card_path: str = Field(
+        default="/.well-known/agent-card.json",
+        description="URL path for the agent card endpoint",
+    )
+
+
+class JSONRPCClientConfig(BaseModel):
+    """JSON-RPC client transport configuration.
+
+    Attributes:
+        max_request_size: Maximum request body size in bytes.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    max_request_size: int | None = Field(
+        default=None,
+        description="Maximum request body size in bytes",
+    )
+
+
+class HTTPJSONConfig(BaseModel):
+    """HTTP+JSON transport configuration.
+
+    Presence of this config in ServerTransportConfig.http_json enables HTTP+JSON transport.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+
+class ServerPushNotificationConfig(BaseModel):
+    """Configuration for outgoing webhook push notifications.
+
+    Controls how the server signs and delivers push notifications to clients.
+
+    Attributes:
+        signature_secret: Shared secret for HMAC-SHA256 signing of outgoing webhooks.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    signature_secret: SecretStr | None = Field(
+        default=None,
+        description="Shared secret for HMAC-SHA256 signing of outgoing push notifications",
+    )
+
+
+class ServerTransportConfig(BaseModel):
+    """Transport configuration for A2A server.
+
+    Groups all transport-related settings including preferred transport
+    and protocol-specific configurations.
+
+    Attributes:
+        preferred: Transport protocol for the preferred endpoint.
+        jsonrpc: JSON-RPC server transport configuration.
+        grpc: gRPC server transport configuration.
+        http_json: HTTP+JSON transport configuration.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    preferred: TransportType = Field(
+        default="JSONRPC",
+        description="Transport protocol for the preferred endpoint",
+    )
+    jsonrpc: JSONRPCServerConfig = Field(
+        default_factory=JSONRPCServerConfig,
+        description="JSON-RPC server transport configuration",
+    )
+    grpc: GRPCServerConfig | None = Field(
+        default=None,
+        description="gRPC server transport configuration",
+    )
+    http_json: HTTPJSONConfig | None = Field(
+        default=None,
+        description="HTTP+JSON transport configuration",
+    )
+
+
+def _migrate_client_transport_fields(
+    transport: ClientTransportConfig,
+    transport_protocol: TransportType | None,
+    supported_transports: list[TransportType] | None,
+) -> None:
+    """Migrate deprecated transport fields to new config."""
+    if transport_protocol is not None:
+        warnings.warn(
+            "transport_protocol is deprecated, use transport=ClientTransportConfig(preferred=...) instead",
+            FutureWarning,
+            stacklevel=5,
+        )
+        object.__setattr__(transport, "preferred", transport_protocol)
+    if supported_transports is not None:
+        warnings.warn(
+            "supported_transports is deprecated, use transport=ClientTransportConfig(supported=...) instead",
+            FutureWarning,
+            stacklevel=5,
+        )
+        object.__setattr__(transport, "supported", supported_transports)
+
+
+class ClientTransportConfig(BaseModel):
+    """Transport configuration for A2A client.
+
+    Groups all client transport-related settings including preferred transport,
+    supported transports for negotiation, and protocol-specific configurations.
+
+    Transport negotiation logic:
+    1. If `preferred` is set and server supports it → use client's preferred
+    2. Otherwise, if server's preferred is in client's `supported` → use server's preferred
+    3. Otherwise, find first match from client's `supported` in server's interfaces
+
+    Attributes:
+        preferred: Client's preferred transport. If set, client preference takes priority.
+        supported: Transports the client can use, in order of preference.
+        jsonrpc: JSON-RPC client transport configuration.
+        grpc: gRPC client transport configuration.
+    """
+
+    model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
+
+    preferred: TransportType | None = Field(
+        default=None,
+        description="Client's preferred transport. If set, takes priority over server preference.",
+    )
+    supported: list[TransportType] = Field(
+        default_factory=lambda: cast(list[TransportType], ["JSONRPC"]),
+        description="Transports the client can use, in order of preference",
+    )
+    jsonrpc: JSONRPCClientConfig = Field(
+        default_factory=JSONRPCClientConfig,
+        description="JSON-RPC client transport configuration",
+    )
+    grpc: GRPCClientConfig = Field(
+        default_factory=GRPCClientConfig,
+        description="gRPC client transport configuration",
+    )
+
+
 @deprecated(
     """
     `crewai.a2a.config.A2AConfig` is deprecated and will be removed in v2.0.0,
@@ -65,13 +380,14 @@ class A2AConfig(BaseModel):
         fail_fast: If True, raise error when agent unreachable; if False, skip and continue.
         trust_remote_completion_status: If True, return A2A agent's result directly when completed.
         updates: Update mechanism config.
-        transport_protocol: A2A transport protocol (grpc, jsonrpc, http+json).
+        client_extensions: Client-side processing hooks for tool injection and prompt augmentation.
+        transport: Transport configuration (preferred, supported transports, gRPC settings).
     """
 
     model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
 
     endpoint: Url = Field(description="A2A agent endpoint URL")
-    auth: AuthScheme | None = Field(
+    auth: ClientAuthScheme | None = Field(
         default=None,
         description="Authentication scheme",
     )
@@ -95,10 +411,48 @@ class A2AConfig(BaseModel):
         default_factory=_get_default_update_config,
         description="Update mechanism config",
     )
-    transport_protocol: Literal["JSONRPC", "GRPC", "HTTP+JSON"] = Field(
-        default="JSONRPC",
-        description="Specified mode of A2A transport protocol",
+    client_extensions: list[ValidatedA2AExtension] = Field(
+        default_factory=list,
+        description="Client-side processing hooks for tool injection and prompt augmentation",
     )
+    transport: ClientTransportConfig = Field(
+        default_factory=ClientTransportConfig,
+        description="Transport configuration (preferred, supported transports, gRPC settings)",
+    )
+    transport_protocol: TransportType | None = Field(
+        default=None,
+        description="Deprecated: Use transport.preferred instead",
+        exclude=True,
+    )
+    supported_transports: list[TransportType] | None = Field(
+        default=None,
+        description="Deprecated: Use transport.supported instead",
+        exclude=True,
+    )
+    use_client_preference: bool | None = Field(
+        default=None,
+        description="Deprecated: Set transport.preferred to enable client preference",
+        exclude=True,
+    )
+    _parallel_delegation: bool = PrivateAttr(default=False)
+
+    @model_validator(mode="after")
+    def _migrate_deprecated_transport_fields(self) -> Self:
+        """Migrate deprecated transport fields to new config."""
+        _migrate_client_transport_fields(
+            self.transport, self.transport_protocol, self.supported_transports
+        )
+        if self.use_client_preference is not None:
+            warnings.warn(
+                "use_client_preference is deprecated, set transport.preferred to enable client preference",
+                FutureWarning,
+                stacklevel=4,
+            )
+            if self.use_client_preference and self.transport.supported:
+                object.__setattr__(
+                    self.transport, "preferred", self.transport.supported[0]
+                )
+        return self
 
 
 class A2AClientConfig(BaseModel):
@@ -114,15 +468,15 @@ class A2AClientConfig(BaseModel):
         trust_remote_completion_status: If True, return A2A agent's result directly when completed.
         updates: Update mechanism config.
         accepted_output_modes: Media types the client can accept in responses.
-        supported_transports: Ordered list of transport protocols the client supports.
-        use_client_preference: Whether to prioritize client transport preferences over server.
-        extensions: Extension URIs the client supports.
+        extensions: Extension URIs the client supports (A2A protocol extensions).
+        client_extensions: Client-side processing hooks for tool injection and prompt augmentation.
+        transport: Transport configuration (preferred, supported transports, gRPC settings).
     """
 
     model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
 
     endpoint: Url = Field(description="A2A agent endpoint URL")
-    auth: AuthScheme | None = Field(
+    auth: ClientAuthScheme | None = Field(
         default=None,
         description="Authentication scheme",
     )
@@ -150,22 +504,37 @@ class A2AClientConfig(BaseModel):
         default_factory=lambda: ["application/json"],
         description="Media types the client can accept in responses",
     )
-    supported_transports: list[str] = Field(
-        default_factory=lambda: ["JSONRPC"],
-        description="Ordered list of transport protocols the client supports",
-    )
-    use_client_preference: bool = Field(
-        default=False,
-        description="Whether to prioritize client transport preferences over server",
-    )
     extensions: list[str] = Field(
         default_factory=list,
         description="Extension URIs the client supports",
     )
-    transport_protocol: Literal["JSONRPC", "GRPC", "HTTP+JSON"] = Field(
-        default="JSONRPC",
-        description="Specified mode of A2A transport protocol",
+    client_extensions: list[ValidatedA2AExtension] = Field(
+        default_factory=list,
+        description="Client-side processing hooks for tool injection and prompt augmentation",
     )
+    transport: ClientTransportConfig = Field(
+        default_factory=ClientTransportConfig,
+        description="Transport configuration (preferred, supported transports, gRPC settings)",
+    )
+    transport_protocol: TransportType | None = Field(
+        default=None,
+        description="Deprecated: Use transport.preferred instead",
+        exclude=True,
+    )
+    supported_transports: list[TransportType] | None = Field(
+        default=None,
+        description="Deprecated: Use transport.supported instead",
+        exclude=True,
+    )
+    _parallel_delegation: bool = PrivateAttr(default=False)
+
+    @model_validator(mode="after")
+    def _migrate_deprecated_transport_fields(self) -> Self:
+        """Migrate deprecated transport fields to new config."""
+        _migrate_client_transport_fields(
+            self.transport, self.transport_protocol, self.supported_transports
+        )
+        return self
 
 
 class A2AServerConfig(BaseModel):
@@ -182,7 +551,6 @@ class A2AServerConfig(BaseModel):
         default_input_modes: Default supported input MIME types.
         default_output_modes: Default supported output MIME types.
         capabilities: Declaration of optional capabilities.
-        preferred_transport: Transport protocol for the preferred endpoint.
         protocol_version: A2A protocol version this agent supports.
         provider: Information about the agent's service provider.
         documentation_url: URL to the agent's documentation.
@@ -192,7 +560,12 @@ class A2AServerConfig(BaseModel):
         security_schemes: Security schemes available to authorize requests.
         supports_authenticated_extended_card: Whether agent provides extended card to authenticated users.
         url: Preferred endpoint URL for the agent.
-        signatures: JSON Web Signatures for the AgentCard.
+        signing_config: Configuration for signing the AgentCard with JWS.
+        signatures: Deprecated. Pre-computed JWS signatures. Use signing_config instead.
+        server_extensions: Server-side A2A protocol extensions with on_request/on_response hooks.
+        push_notifications: Configuration for outgoing push notifications.
+        transport: Transport configuration (preferred transport, gRPC, REST settings).
+        auth: Authentication scheme for A2A endpoints.
     """
 
     model_config: ClassVar[ConfigDict] = ConfigDict(extra="forbid")
@@ -228,12 +601,8 @@ class A2AServerConfig(BaseModel):
         ),
         description="Declaration of optional capabilities supported by the agent",
     )
-    preferred_transport: TransportType = Field(
-        default="JSONRPC",
-        description="Transport protocol for the preferred endpoint",
-    )
-    protocol_version: str = Field(
-        default_factory=lambda: version("a2a-sdk"),
+    protocol_version: ProtocolVersion = Field(
+        default="0.3.0",
         description="A2A protocol version this agent supports",
     )
     provider: AgentProvider | None = Field(
@@ -250,7 +619,7 @@ class A2AServerConfig(BaseModel):
     )
     additional_interfaces: list[AgentInterface] = Field(
         default_factory=list,
-        description="Additional supported interfaces (transport and URL combinations)",
+        description="Additional supported interfaces.",
     )
     security: list[dict[str, list[str]]] = Field(
         default_factory=list,
@@ -268,7 +637,54 @@ class A2AServerConfig(BaseModel):
         default=None,
         description="Preferred endpoint URL for the agent. Set at runtime if not provided.",
     )
-    signatures: list[AgentCardSignature] = Field(
-        default_factory=list,
-        description="JSON Web Signatures for the AgentCard",
+    signing_config: AgentCardSigningConfig | None = Field(
+        default=None,
+        description="Configuration for signing the AgentCard with JWS",
     )
+    signatures: list[AgentCardSignature] | None = Field(
+        default=None,
+        description="Deprecated: Use signing_config instead. Pre-computed JWS signatures for the AgentCard.",
+        exclude=True,
+        deprecated=True,
+    )
+    server_extensions: list[ServerExtension] = Field(
+        default_factory=list,
+        description="Server-side A2A protocol extensions that modify agent behavior",
+    )
+    push_notifications: ServerPushNotificationConfig | None = Field(
+        default=None,
+        description="Configuration for outgoing push notifications",
+    )
+    transport: ServerTransportConfig = Field(
+        default_factory=ServerTransportConfig,
+        description="Transport configuration (preferred transport, gRPC, REST settings)",
+    )
+    preferred_transport: TransportType | None = Field(
+        default=None,
+        description="Deprecated: Use transport.preferred instead",
+        exclude=True,
+        deprecated=True,
+    )
+    auth: ServerAuthScheme | None = Field(
+        default=None,
+        description="Authentication scheme for A2A endpoints. Defaults to SimpleTokenAuth using AUTH_TOKEN env var.",
+    )
+
+    @model_validator(mode="after")
+    def _migrate_deprecated_fields(self) -> Self:
+        """Migrate deprecated fields to new config."""
+        if self.preferred_transport is not None:
+            warnings.warn(
+                "preferred_transport is deprecated, use transport=ServerTransportConfig(preferred=...) instead",
+                FutureWarning,
+                stacklevel=4,
+            )
+            object.__setattr__(self.transport, "preferred", self.preferred_transport)
+        if self.signatures is not None:
+            warnings.warn(
+                "signatures is deprecated, use signing_config=AgentCardSigningConfig(...) instead. "
+                "The signatures field will be removed in v2.0.0.",
+                FutureWarning,
+                stacklevel=4,
+            )
+        return self

lib/crewai/src/crewai/a2a/errors.py

@@ -1,7 +1,491 @@
-"""A2A protocol error types."""
+"""A2A error codes and error response utilities.
+
+This module provides a centralized mapping of all A2A protocol error codes
+as defined in the A2A specification, plus custom CrewAI extensions.
+
+Error codes follow JSON-RPC 2.0 conventions:
+- -32700 to -32600: Standard JSON-RPC errors
+- -32099 to -32000: Server errors (A2A-specific)
+- -32768 to -32100: Reserved for implementation-defined errors
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from enum import IntEnum
+from typing import Any
 
 from a2a.client.errors import A2AClientTimeoutError
 
 
 class A2APollingTimeoutError(A2AClientTimeoutError):
     """Raised when polling exceeds the configured timeout."""
+
+
+class A2AErrorCode(IntEnum):
+    """A2A protocol error codes.
+
+    Codes follow JSON-RPC 2.0 specification with A2A-specific extensions.
+    """
+
+    # JSON-RPC 2.0 Standard Errors (-32700 to -32600)
+    JSON_PARSE_ERROR = -32700
+    """Invalid JSON was received by the server."""
+
+    INVALID_REQUEST = -32600
+    """The JSON sent is not a valid Request object."""
+
+    METHOD_NOT_FOUND = -32601
+    """The method does not exist / is not available."""
+
+    INVALID_PARAMS = -32602
+    """Invalid method parameter(s)."""
+
+    INTERNAL_ERROR = -32603
+    """Internal JSON-RPC error."""
+
+    # A2A-Specific Errors (-32099 to -32000)
+    TASK_NOT_FOUND = -32001
+    """The specified task was not found."""
+
+    TASK_NOT_CANCELABLE = -32002
+    """The task cannot be canceled (already completed/failed)."""
+
+    PUSH_NOTIFICATION_NOT_SUPPORTED = -32003
+    """Push notifications are not supported by this agent."""
+
+    UNSUPPORTED_OPERATION = -32004
+    """The requested operation is not supported."""
+
+    CONTENT_TYPE_NOT_SUPPORTED = -32005
+    """Incompatible content types between client and server."""
+
+    INVALID_AGENT_RESPONSE = -32006
+    """The agent produced an invalid response."""
+
+    # CrewAI Custom Extensions (-32768 to -32100)
+    UNSUPPORTED_VERSION = -32009
+    """The requested A2A protocol version is not supported."""
+
+    UNSUPPORTED_EXTENSION = -32010
+    """Client does not support required protocol extensions."""
+
+    AUTHENTICATION_REQUIRED = -32011
+    """Authentication is required for this operation."""
+
+    AUTHORIZATION_FAILED = -32012
+    """Authorization check failed (insufficient permissions)."""
+
+    RATE_LIMIT_EXCEEDED = -32013
+    """Rate limit exceeded for this client/operation."""
+
+    TASK_TIMEOUT = -32014
+    """Task execution timed out."""
+
+    TRANSPORT_NEGOTIATION_FAILED = -32015
+    """Failed to negotiate a compatible transport protocol."""
+
+    CONTEXT_NOT_FOUND = -32016
+    """The specified context was not found."""
+
+    SKILL_NOT_FOUND = -32017
+    """The specified skill was not found."""
+
+    ARTIFACT_NOT_FOUND = -32018
+    """The specified artifact was not found."""
+
+
+# Error code to default message mapping
+ERROR_MESSAGES: dict[int, str] = {
+    A2AErrorCode.JSON_PARSE_ERROR: "Parse error",
+    A2AErrorCode.INVALID_REQUEST: "Invalid Request",
+    A2AErrorCode.METHOD_NOT_FOUND: "Method not found",
+    A2AErrorCode.INVALID_PARAMS: "Invalid params",
+    A2AErrorCode.INTERNAL_ERROR: "Internal error",
+    A2AErrorCode.TASK_NOT_FOUND: "Task not found",
+    A2AErrorCode.TASK_NOT_CANCELABLE: "Task not cancelable",
+    A2AErrorCode.PUSH_NOTIFICATION_NOT_SUPPORTED: "Push Notification is not supported",
+    A2AErrorCode.UNSUPPORTED_OPERATION: "This operation is not supported",
+    A2AErrorCode.CONTENT_TYPE_NOT_SUPPORTED: "Incompatible content types",
+    A2AErrorCode.INVALID_AGENT_RESPONSE: "Invalid agent response",
+    A2AErrorCode.UNSUPPORTED_VERSION: "Unsupported A2A version",
+    A2AErrorCode.UNSUPPORTED_EXTENSION: "Client does not support required extensions",
+    A2AErrorCode.AUTHENTICATION_REQUIRED: "Authentication required",
+    A2AErrorCode.AUTHORIZATION_FAILED: "Authorization failed",
+    A2AErrorCode.RATE_LIMIT_EXCEEDED: "Rate limit exceeded",
+    A2AErrorCode.TASK_TIMEOUT: "Task execution timed out",
+    A2AErrorCode.TRANSPORT_NEGOTIATION_FAILED: "Transport negotiation failed",
+    A2AErrorCode.CONTEXT_NOT_FOUND: "Context not found",
+    A2AErrorCode.SKILL_NOT_FOUND: "Skill not found",
+    A2AErrorCode.ARTIFACT_NOT_FOUND: "Artifact not found",
+}
+
+
+@dataclass
+class A2AError(Exception):
+    """Base exception for A2A protocol errors.
+
+    Attributes:
+        code: The A2A/JSON-RPC error code.
+        message: Human-readable error message.
+        data: Optional additional error data.
+    """
+
+    code: int
+    message: str | None = None
+    data: Any = None
+
+    def __post_init__(self) -> None:
+        if self.message is None:
+            self.message = ERROR_MESSAGES.get(self.code, "Unknown error")
+        super().__init__(self.message)
+
+    def to_dict(self) -> dict[str, Any]:
+        """Convert to JSON-RPC error object format."""
+        error: dict[str, Any] = {
+            "code": self.code,
+            "message": self.message,
+        }
+        if self.data is not None:
+            error["data"] = self.data
+        return error
+
+    def to_response(self, request_id: str | int | None = None) -> dict[str, Any]:
+        """Convert to full JSON-RPC error response."""
+        return {
+            "jsonrpc": "2.0",
+            "error": self.to_dict(),
+            "id": request_id,
+        }
+
+
+@dataclass
+class JSONParseError(A2AError):
+    """Invalid JSON was received."""
+
+    code: int = field(default=A2AErrorCode.JSON_PARSE_ERROR, init=False)
+
+
+@dataclass
+class InvalidRequestError(A2AError):
+    """The JSON sent is not a valid Request object."""
+
+    code: int = field(default=A2AErrorCode.INVALID_REQUEST, init=False)
+
+
+@dataclass
+class MethodNotFoundError(A2AError):
+    """The method does not exist / is not available."""
+
+    code: int = field(default=A2AErrorCode.METHOD_NOT_FOUND, init=False)
+    method: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.method:
+            self.message = f"Method not found: {self.method}"
+        super().__post_init__()
+
+
+@dataclass
+class InvalidParamsError(A2AError):
+    """Invalid method parameter(s)."""
+
+    code: int = field(default=A2AErrorCode.INVALID_PARAMS, init=False)
+    param: str | None = None
+    reason: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None:
+            if self.param and self.reason:
+                self.message = f"Invalid parameter '{self.param}': {self.reason}"
+            elif self.param:
+                self.message = f"Invalid parameter: {self.param}"
+        super().__post_init__()
+
+
+@dataclass
+class InternalError(A2AError):
+    """Internal JSON-RPC error."""
+
+    code: int = field(default=A2AErrorCode.INTERNAL_ERROR, init=False)
+
+
+@dataclass
+class TaskNotFoundError(A2AError):
+    """The specified task was not found."""
+
+    code: int = field(default=A2AErrorCode.TASK_NOT_FOUND, init=False)
+    task_id: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.task_id:
+            self.message = f"Task not found: {self.task_id}"
+        super().__post_init__()
+
+
+@dataclass
+class TaskNotCancelableError(A2AError):
+    """The task cannot be canceled."""
+
+    code: int = field(default=A2AErrorCode.TASK_NOT_CANCELABLE, init=False)
+    task_id: str | None = None
+    reason: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None:
+            if self.task_id and self.reason:
+                self.message = f"Task {self.task_id} cannot be canceled: {self.reason}"
+            elif self.task_id:
+                self.message = f"Task {self.task_id} cannot be canceled"
+        super().__post_init__()
+
+
+@dataclass
+class PushNotificationNotSupportedError(A2AError):
+    """Push notifications are not supported."""
+
+    code: int = field(default=A2AErrorCode.PUSH_NOTIFICATION_NOT_SUPPORTED, init=False)
+
+
+@dataclass
+class UnsupportedOperationError(A2AError):
+    """The requested operation is not supported."""
+
+    code: int = field(default=A2AErrorCode.UNSUPPORTED_OPERATION, init=False)
+    operation: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.operation:
+            self.message = f"Operation not supported: {self.operation}"
+        super().__post_init__()
+
+
+@dataclass
+class ContentTypeNotSupportedError(A2AError):
+    """Incompatible content types."""
+
+    code: int = field(default=A2AErrorCode.CONTENT_TYPE_NOT_SUPPORTED, init=False)
+    requested_types: list[str] | None = None
+    supported_types: list[str] | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.requested_types and self.supported_types:
+            self.message = (
+                f"Content type not supported. Requested: {self.requested_types}, "
+                f"Supported: {self.supported_types}"
+            )
+        super().__post_init__()
+
+
+@dataclass
+class InvalidAgentResponseError(A2AError):
+    """The agent produced an invalid response."""
+
+    code: int = field(default=A2AErrorCode.INVALID_AGENT_RESPONSE, init=False)
+
+
+@dataclass
+class UnsupportedVersionError(A2AError):
+    """The requested A2A version is not supported."""
+
+    code: int = field(default=A2AErrorCode.UNSUPPORTED_VERSION, init=False)
+    requested_version: str | None = None
+    supported_versions: list[str] | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.requested_version:
+            msg = f"Unsupported A2A version: {self.requested_version}"
+            if self.supported_versions:
+                msg += f". Supported versions: {', '.join(self.supported_versions)}"
+            self.message = msg
+        super().__post_init__()
+
+
+@dataclass
+class UnsupportedExtensionError(A2AError):
+    """Client does not support required extensions."""
+
+    code: int = field(default=A2AErrorCode.UNSUPPORTED_EXTENSION, init=False)
+    required_extensions: list[str] | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.required_extensions:
+            self.message = f"Client does not support required extensions: {', '.join(self.required_extensions)}"
+        super().__post_init__()
+
+
+@dataclass
+class AuthenticationRequiredError(A2AError):
+    """Authentication is required."""
+
+    code: int = field(default=A2AErrorCode.AUTHENTICATION_REQUIRED, init=False)
+
+
+@dataclass
+class AuthorizationFailedError(A2AError):
+    """Authorization check failed."""
+
+    code: int = field(default=A2AErrorCode.AUTHORIZATION_FAILED, init=False)
+    required_scope: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.required_scope:
+            self.message = (
+                f"Authorization failed. Required scope: {self.required_scope}"
+            )
+        super().__post_init__()
+
+
+@dataclass
+class RateLimitExceededError(A2AError):
+    """Rate limit exceeded."""
+
+    code: int = field(default=A2AErrorCode.RATE_LIMIT_EXCEEDED, init=False)
+    retry_after: int | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.retry_after:
+            self.message = (
+                f"Rate limit exceeded. Retry after {self.retry_after} seconds"
+            )
+        if self.retry_after:
+            self.data = {"retry_after": self.retry_after}
+        super().__post_init__()
+
+
+@dataclass
+class TaskTimeoutError(A2AError):
+    """Task execution timed out."""
+
+    code: int = field(default=A2AErrorCode.TASK_TIMEOUT, init=False)
+    task_id: str | None = None
+    timeout_seconds: float | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None:
+            if self.task_id and self.timeout_seconds:
+                self.message = (
+                    f"Task {self.task_id} timed out after {self.timeout_seconds}s"
+                )
+            elif self.task_id:
+                self.message = f"Task {self.task_id} timed out"
+        super().__post_init__()
+
+
+@dataclass
+class TransportNegotiationFailedError(A2AError):
+    """Failed to negotiate a compatible transport protocol."""
+
+    code: int = field(default=A2AErrorCode.TRANSPORT_NEGOTIATION_FAILED, init=False)
+    client_transports: list[str] | None = None
+    server_transports: list[str] | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.client_transports and self.server_transports:
+            self.message = (
+                f"Transport negotiation failed. Client: {self.client_transports}, "
+                f"Server: {self.server_transports}"
+            )
+        super().__post_init__()
+
+
+@dataclass
+class ContextNotFoundError(A2AError):
+    """The specified context was not found."""
+
+    code: int = field(default=A2AErrorCode.CONTEXT_NOT_FOUND, init=False)
+    context_id: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.context_id:
+            self.message = f"Context not found: {self.context_id}"
+        super().__post_init__()
+
+
+@dataclass
+class SkillNotFoundError(A2AError):
+    """The specified skill was not found."""
+
+    code: int = field(default=A2AErrorCode.SKILL_NOT_FOUND, init=False)
+    skill_id: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.skill_id:
+            self.message = f"Skill not found: {self.skill_id}"
+        super().__post_init__()
+
+
+@dataclass
+class ArtifactNotFoundError(A2AError):
+    """The specified artifact was not found."""
+
+    code: int = field(default=A2AErrorCode.ARTIFACT_NOT_FOUND, init=False)
+    artifact_id: str | None = None
+
+    def __post_init__(self) -> None:
+        if self.message is None and self.artifact_id:
+            self.message = f"Artifact not found: {self.artifact_id}"
+        super().__post_init__()
+
+
+def create_error_response(
+    code: int | A2AErrorCode,
+    message: str | None = None,
+    data: Any = None,
+    request_id: str | int | None = None,
+) -> dict[str, Any]:
+    """Create a JSON-RPC error response.
+
+    Args:
+        code: Error code (A2AErrorCode or int).
+        message: Optional error message (uses default if not provided).
+        data: Optional additional error data.
+        request_id: Request ID for correlation.
+
+    Returns:
+        Dict in JSON-RPC error response format.
+    """
+    error = A2AError(code=int(code), message=message, data=data)
+    return error.to_response(request_id)
+
+
+def is_retryable_error(code: int) -> bool:
+    """Check if an error is potentially retryable.
+
+    Args:
+        code: Error code to check.
+
+    Returns:
+        True if the error might be resolved by retrying.
+    """
+    retryable_codes = {
+        A2AErrorCode.INTERNAL_ERROR,
+        A2AErrorCode.RATE_LIMIT_EXCEEDED,
+        A2AErrorCode.TASK_TIMEOUT,
+    }
+    return code in retryable_codes
+
+
+def is_client_error(code: int) -> bool:
+    """Check if an error is a client-side error.
+
+    Args:
+        code: Error code to check.
+
+    Returns:
+        True if the error is due to client request issues.
+    """
+    client_error_codes = {
+        A2AErrorCode.JSON_PARSE_ERROR,
+        A2AErrorCode.INVALID_REQUEST,
+        A2AErrorCode.METHOD_NOT_FOUND,
+        A2AErrorCode.INVALID_PARAMS,
+        A2AErrorCode.TASK_NOT_FOUND,
+        A2AErrorCode.CONTENT_TYPE_NOT_SUPPORTED,
+        A2AErrorCode.UNSUPPORTED_VERSION,
+        A2AErrorCode.UNSUPPORTED_EXTENSION,
+        A2AErrorCode.CONTEXT_NOT_FOUND,
+        A2AErrorCode.SKILL_NOT_FOUND,
+        A2AErrorCode.ARTIFACT_NOT_FOUND,
+    }
+    return code in client_error_codes

lib/crewai/src/crewai/a2a/extensions/__init__.py

@@ -1,4 +1,37 @@
 """A2A Protocol Extensions for CrewAI.
 
 This module contains extensions to the A2A (Agent-to-Agent) protocol.
+
+**Client-side extensions** (A2AExtension) allow customizing how the A2A wrapper
+processes requests and responses during delegation to remote agents. These provide
+hooks for tool injection, prompt augmentation, and response processing.
+
+**Server-side extensions** (ServerExtension) allow agents to offer additional
+functionality beyond the core A2A specification. Clients activate extensions
+via the X-A2A-Extensions header.
+
+See: https://a2a-protocol.org/latest/topics/extensions/
 """
+
+from crewai.a2a.extensions.base import (
+    A2AExtension,
+    ConversationState,
+    ExtensionRegistry,
+    ValidatedA2AExtension,
+)
+from crewai.a2a.extensions.server import (
+    ExtensionContext,
+    ServerExtension,
+    ServerExtensionRegistry,
+)
+
+
+__all__ = [
+    "A2AExtension",
+    "ConversationState",
+    "ExtensionContext",
+    "ExtensionRegistry",
+    "ServerExtension",
+    "ServerExtensionRegistry",
+    "ValidatedA2AExtension",
+]

lib/crewai/src/crewai/a2a/extensions/base.py

@@ -1,14 +1,20 @@
-"""Base extension interface for A2A wrapper integrations.
+"""Base extension interface for CrewAI A2A wrapper processing hooks.
 
-This module defines the protocol for extending A2A wrapper functionality
-with custom logic for conversation processing, prompt augmentation, and
-agent response handling.
+This module defines the protocol for extending CrewAI's A2A wrapper functionality
+with custom logic for tool injection, prompt augmentation, and response processing.
+
+Note: These are CrewAI-specific processing hooks, NOT A2A protocol extensions.
+A2A protocol extensions are capability declarations using AgentExtension objects
+in AgentCard.capabilities.extensions, activated via the A2A-Extensions HTTP header.
+See: https://a2a-protocol.org/latest/topics/extensions/
 """
 
 from __future__ import annotations
 
 from collections.abc import Sequence
-from typing import TYPE_CHECKING, Any, Protocol
+from typing import TYPE_CHECKING, Annotated, Any, Protocol, runtime_checkable
+
+from pydantic import BeforeValidator
 
 
 if TYPE_CHECKING:
@@ -17,6 +23,20 @@ if TYPE_CHECKING:
     from crewai.agent.core import Agent
 
 
+def _validate_a2a_extension(v: Any) -> Any:
+    """Validate that value implements A2AExtension protocol."""
+    if not isinstance(v, A2AExtension):
+        raise ValueError(
+            f"Value must implement A2AExtension protocol. "
+            f"Got {type(v).__name__} which is missing required methods."
+        )
+    return v
+
+
+ValidatedA2AExtension = Annotated[Any, BeforeValidator(_validate_a2a_extension)]
+
+
+@runtime_checkable
 class ConversationState(Protocol):
     """Protocol for extension-specific conversation state.
 
@@ -33,11 +53,36 @@ class ConversationState(Protocol):
         ...
 
 
+@runtime_checkable
 class A2AExtension(Protocol):
     """Protocol for A2A wrapper extensions.
 
     Extensions can implement this protocol to inject custom logic into
     the A2A conversation flow at various integration points.
+
+    Example:
+        class MyExtension:
+            def inject_tools(self, agent: Agent) -> None:
+                # Add custom tools to the agent
+                pass
+
+            def extract_state_from_history(
+                self, conversation_history: Sequence[Message]
+            ) -> ConversationState | None:
+                # Extract state from conversation
+                return None
+
+            def augment_prompt(
+                self, base_prompt: str, conversation_state: ConversationState | None
+            ) -> str:
+                # Add custom instructions
+                return base_prompt
+
+            def process_response(
+                self, agent_response: Any, conversation_state: ConversationState | None
+            ) -> Any:
+                # Modify response if needed
+                return agent_response
     """
 
     def inject_tools(self, agent: Agent) -> None:

lib/crewai/src/crewai/a2a/extensions/registry.py

@@ -1,34 +1,170 @@
-"""Extension registry factory for A2A configurations.
+"""A2A Protocol extension utilities.
 
-This module provides utilities for creating extension registries from A2A configurations.
+This module provides utilities for working with A2A protocol extensions as
+defined in the A2A specification. Extensions are capability declarations in
+AgentCard.capabilities.extensions using AgentExtension objects, activated
+via the X-A2A-Extensions HTTP header.
+
+See: https://a2a-protocol.org/latest/topics/extensions/
 """
 
 from __future__ import annotations
 
-from typing import TYPE_CHECKING
+from typing import Any
 
+from a2a.client.middleware import ClientCallContext, ClientCallInterceptor
+from a2a.extensions.common import (
+    HTTP_EXTENSION_HEADER,
+)
+from a2a.types import AgentCard, AgentExtension
+
+from crewai.a2a.config import A2AClientConfig, A2AConfig
 from crewai.a2a.extensions.base import ExtensionRegistry
 
 
-if TYPE_CHECKING:
-    from crewai.a2a.config import A2AConfig
+def get_extensions_from_config(
+    a2a_config: list[A2AConfig | A2AClientConfig] | A2AConfig | A2AClientConfig,
+) -> list[str]:
+    """Extract extension URIs from A2A configuration.
+
+    Args:
+        a2a_config: A2A configuration (single or list).
+
+    Returns:
+        Deduplicated list of extension URIs from all configs.
+    """
+    configs = a2a_config if isinstance(a2a_config, list) else [a2a_config]
+    seen: set[str] = set()
+    result: list[str] = []
+
+    for config in configs:
+        if not isinstance(config, A2AClientConfig):
+            continue
+        for uri in config.extensions:
+            if uri not in seen:
+                seen.add(uri)
+                result.append(uri)
+
+    return result
+
+
+class ExtensionsMiddleware(ClientCallInterceptor):
+    """Middleware to add X-A2A-Extensions header to requests.
+
+    This middleware adds the extensions header to all outgoing requests,
+    declaring which A2A protocol extensions the client supports.
+    """
+
+    def __init__(self, extensions: list[str]) -> None:
+        """Initialize with extension URIs.
+
+        Args:
+            extensions: List of extension URIs the client supports.
+        """
+        self._extensions = extensions
+
+    async def intercept(
+        self,
+        method_name: str,
+        request_payload: dict[str, Any],
+        http_kwargs: dict[str, Any],
+        agent_card: AgentCard | None,
+        context: ClientCallContext | None,
+    ) -> tuple[dict[str, Any], dict[str, Any]]:
+        """Add extensions header to the request.
+
+        Args:
+            method_name: The A2A method being called.
+            request_payload: The JSON-RPC request payload.
+            http_kwargs: HTTP request kwargs (headers, etc).
+            agent_card: The target agent's card.
+            context: Optional call context.
+
+        Returns:
+            Tuple of (request_payload, modified_http_kwargs).
+        """
+        if self._extensions:
+            headers = http_kwargs.setdefault("headers", {})
+            headers[HTTP_EXTENSION_HEADER] = ",".join(self._extensions)
+        return request_payload, http_kwargs
+
+
+def validate_required_extensions(
+    agent_card: AgentCard,
+    client_extensions: list[str] | None,
+) -> list[AgentExtension]:
+    """Validate that client supports all required extensions from agent.
+
+    Args:
+        agent_card: The agent's card with declared extensions.
+        client_extensions: Extension URIs the client supports.
+
+    Returns:
+        List of unsupported required extensions.
+
+    Raises:
+        None - returns list of unsupported extensions for caller to handle.
+    """
+    unsupported: list[AgentExtension] = []
+    client_set = set(client_extensions or [])
+
+    if not agent_card.capabilities or not agent_card.capabilities.extensions:
+        return unsupported
+
+    unsupported.extend(
+        ext
+        for ext in agent_card.capabilities.extensions
+        if ext.required and ext.uri not in client_set
+    )
+
+    return unsupported
 
 
 def create_extension_registry_from_config(
-    a2a_config: list[A2AConfig] | A2AConfig,
+    a2a_config: list[A2AConfig | A2AClientConfig] | A2AConfig | A2AClientConfig,
 ) -> ExtensionRegistry:
-    """Create an extension registry from A2A configuration.
+    """Create an extension registry from A2A client configuration.
+
+    Extracts client_extensions from each A2AClientConfig and registers them
+    with the ExtensionRegistry. These extensions provide CrewAI-specific
+    processing hooks (tool injection, prompt augmentation, response processing).
+
+    Note: A2A protocol extensions (URI strings sent via X-A2A-Extensions header)
+    are handled separately via get_extensions_from_config() and ExtensionsMiddleware.
 
     Args:
-        a2a_config: A2A configuration (single or list)
+        a2a_config: A2A configuration (single or list).
 
     Returns:
-        Configured extension registry with all applicable extensions
+        Extension registry with all client_extensions registered.
+
+    Example:
+        class LoggingExtension:
+            def inject_tools(self, agent): pass
+            def extract_state_from_history(self, history): return None
+            def augment_prompt(self, prompt, state): return prompt
+            def process_response(self, response, state):
+                print(f"Response: {response}")
+                return response
+
+        config = A2AClientConfig(
+            endpoint="https://agent.example.com",
+            client_extensions=[LoggingExtension()],
+        )
+        registry = create_extension_registry_from_config(config)
     """
     registry = ExtensionRegistry()
     configs = a2a_config if isinstance(a2a_config, list) else [a2a_config]
 
-    for _ in configs:
-        pass
+    seen: set[int] = set()
+
+    for config in configs:
+        if isinstance(config, (A2AConfig, A2AClientConfig)):
+            client_exts = getattr(config, "client_extensions", [])
+            for extension in client_exts:
+                ext_id = id(extension)
+                if ext_id not in seen:
+                    seen.add(ext_id)
+                    registry.register(extension)
 
     return registry

lib/crewai/src/crewai/a2a/extensions/server.py

@@ -0,0 +1,305 @@
+"""A2A protocol server extensions for CrewAI agents.
+
+This module provides the base class and context for implementing A2A protocol
+extensions on the server side. Extensions allow agents to offer additional
+functionality beyond the core A2A specification.
+
+See: https://a2a-protocol.org/latest/topics/extensions/
+"""
+
+from __future__ import annotations
+
+from abc import ABC, abstractmethod
+from dataclasses import dataclass, field
+import logging
+from typing import TYPE_CHECKING, Annotated, Any
+
+from a2a.types import AgentExtension
+from pydantic_core import CoreSchema, core_schema
+
+
+if TYPE_CHECKING:
+    from a2a.server.context import ServerCallContext
+    from pydantic import GetCoreSchemaHandler
+
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class ExtensionContext:
+    """Context passed to extension hooks during request processing.
+
+    Provides access to request metadata, client extensions, and shared state
+    that extensions can read from and write to.
+
+    Attributes:
+        metadata: Request metadata dict, includes extension-namespaced keys.
+        client_extensions: Set of extension URIs the client declared support for.
+        state: Mutable dict for extensions to share data during request lifecycle.
+        server_context: The underlying A2A server call context.
+    """
+
+    metadata: dict[str, Any]
+    client_extensions: set[str]
+    state: dict[str, Any] = field(default_factory=dict)
+    server_context: ServerCallContext | None = None
+
+    def get_extension_metadata(self, uri: str, key: str) -> Any | None:
+        """Get extension-specific metadata value.
+
+        Extension metadata uses namespaced keys in the format:
+        "{extension_uri}/{key}"
+
+        Args:
+            uri: The extension URI.
+            key: The metadata key within the extension namespace.
+
+        Returns:
+            The metadata value, or None if not present.
+        """
+        full_key = f"{uri}/{key}"
+        return self.metadata.get(full_key)
+
+    def set_extension_metadata(self, uri: str, key: str, value: Any) -> None:
+        """Set extension-specific metadata value.
+
+        Args:
+            uri: The extension URI.
+            key: The metadata key within the extension namespace.
+            value: The value to set.
+        """
+        full_key = f"{uri}/{key}"
+        self.metadata[full_key] = value
+
+
+class ServerExtension(ABC):
+    """Base class for A2A protocol server extensions.
+
+    Subclass this to create custom extensions that modify agent behavior
+    when clients activate them. Extensions are identified by URI and can
+    be marked as required.
+
+    Example:
+        class SamplingExtension(ServerExtension):
+            uri = "urn:crewai:ext:sampling/v1"
+            required = True
+
+            def __init__(self, max_tokens: int = 4096):
+                self.max_tokens = max_tokens
+
+            @property
+            def params(self) -> dict[str, Any]:
+                return {"max_tokens": self.max_tokens}
+
+            async def on_request(self, context: ExtensionContext) -> None:
+                limit = context.get_extension_metadata(self.uri, "limit")
+                if limit:
+                    context.state["token_limit"] = int(limit)
+
+            async def on_response(self, context: ExtensionContext, result: Any) -> Any:
+                return result
+    """
+
+    uri: Annotated[str, "Extension URI identifier. Must be unique."]
+    required: Annotated[bool, "Whether clients must support this extension."] = False
+    description: Annotated[
+        str | None, "Human-readable description of the extension."
+    ] = None
+
+    @classmethod
+    def __get_pydantic_core_schema__(
+        cls,
+        _source_type: Any,
+        _handler: GetCoreSchemaHandler,
+    ) -> CoreSchema:
+        """Tell Pydantic how to validate ServerExtension instances."""
+        return core_schema.is_instance_schema(cls)
+
+    @property
+    def params(self) -> dict[str, Any] | None:
+        """Extension parameters to advertise in AgentCard.
+
+        Override this property to expose configuration that clients can read.
+
+        Returns:
+            Dict of parameter names to values, or None.
+        """
+        return None
+
+    def agent_extension(self) -> AgentExtension:
+        """Generate the AgentExtension object for the AgentCard.
+
+        Returns:
+            AgentExtension with this extension's URI, required flag, and params.
+        """
+        return AgentExtension(
+            uri=self.uri,
+            required=self.required if self.required else None,
+            description=self.description,
+            params=self.params,
+        )
+
+    def is_active(self, context: ExtensionContext) -> bool:
+        """Check if this extension is active for the current request.
+
+        An extension is active if the client declared support for it.
+
+        Args:
+            context: The extension context for the current request.
+
+        Returns:
+            True if the client supports this extension.
+        """
+        return self.uri in context.client_extensions
+
+    @abstractmethod
+    async def on_request(self, context: ExtensionContext) -> None:
+        """Called before agent execution if extension is active.
+
+        Use this hook to:
+        - Read extension-specific metadata from the request
+        - Set up state for the execution
+        - Modify execution parameters via context.state
+
+        Args:
+            context: The extension context with request metadata and state.
+        """
+        ...
+
+    @abstractmethod
+    async def on_response(self, context: ExtensionContext, result: Any) -> Any:
+        """Called after agent execution if extension is active.
+
+        Use this hook to:
+        - Modify or enhance the result
+        - Add extension-specific metadata to the response
+        - Clean up any resources
+
+        Args:
+            context: The extension context with request metadata and state.
+            result: The agent execution result.
+
+        Returns:
+            The result, potentially modified.
+        """
+        ...
+
+
+class ServerExtensionRegistry:
+    """Registry for managing server-side A2A protocol extensions.
+
+    Collects extensions and provides methods to generate AgentCapabilities
+    and invoke extension hooks during request processing.
+    """
+
+    def __init__(self, extensions: list[ServerExtension] | None = None) -> None:
+        """Initialize the registry with optional extensions.
+
+        Args:
+            extensions: Initial list of extensions to register.
+        """
+        self._extensions: list[ServerExtension] = list(extensions) if extensions else []
+        self._by_uri: dict[str, ServerExtension] = {
+            ext.uri: ext for ext in self._extensions
+        }
+
+    def register(self, extension: ServerExtension) -> None:
+        """Register an extension.
+
+        Args:
+            extension: The extension to register.
+
+        Raises:
+            ValueError: If an extension with the same URI is already registered.
+        """
+        if extension.uri in self._by_uri:
+            raise ValueError(f"Extension already registered: {extension.uri}")
+        self._extensions.append(extension)
+        self._by_uri[extension.uri] = extension
+
+    def get_agent_extensions(self) -> list[AgentExtension]:
+        """Get AgentExtension objects for all registered extensions.
+
+        Returns:
+            List of AgentExtension objects for the AgentCard.
+        """
+        return [ext.agent_extension() for ext in self._extensions]
+
+    def get_extension(self, uri: str) -> ServerExtension | None:
+        """Get an extension by URI.
+
+        Args:
+            uri: The extension URI.
+
+        Returns:
+            The extension, or None if not found.
+        """
+        return self._by_uri.get(uri)
+
+    @staticmethod
+    def create_context(
+        metadata: dict[str, Any],
+        client_extensions: set[str],
+        server_context: ServerCallContext | None = None,
+    ) -> ExtensionContext:
+        """Create an ExtensionContext for a request.
+
+        Args:
+            metadata: Request metadata dict.
+            client_extensions: Set of extension URIs from client.
+            server_context: Optional server call context.
+
+        Returns:
+            ExtensionContext for use in hooks.
+        """
+        return ExtensionContext(
+            metadata=metadata,
+            client_extensions=client_extensions,
+            server_context=server_context,
+        )
+
+    async def invoke_on_request(self, context: ExtensionContext) -> None:
+        """Invoke on_request hooks for all active extensions.
+
+        Tracks activated extensions and isolates errors from individual hooks.
+
+        Args:
+            context: The extension context for the request.
+        """
+        for extension in self._extensions:
+            if extension.is_active(context):
+                try:
+                    await extension.on_request(context)
+                    if context.server_context is not None:
+                        context.server_context.activated_extensions.add(extension.uri)
+                except Exception:
+                    logger.exception(
+                        "Extension on_request hook failed",
+                        extra={"extension": extension.uri},
+                    )
+
+    async def invoke_on_response(self, context: ExtensionContext, result: Any) -> Any:
+        """Invoke on_response hooks for all active extensions.
+
+        Isolates errors from individual hooks to prevent one failing extension
+        from breaking the entire response.
+
+        Args:
+            context: The extension context for the request.
+            result: The agent execution result.
+
+        Returns:
+            The result after all extensions have processed it.
+        """
+        processed = result
+        for extension in self._extensions:
+            if extension.is_active(context):
+                try:
+                    processed = await extension.on_response(context, processed)
+                except Exception:
+                    logger.exception(
+                        "Extension on_response hook failed",
+                        extra={"extension": extension.uri},
+                    )
+        return processed

lib/crewai/src/crewai/a2a/task_helpers.py

@@ -51,6 +51,13 @@ ACTIONABLE_STATES: frozenset[TaskState] = frozenset(
     }
 )
 
+PENDING_STATES: frozenset[TaskState] = frozenset(
+    {
+        TaskState.submitted,
+        TaskState.working,
+    }
+)
+
 
 class TaskStateResult(TypedDict):
     """Result dictionary from processing A2A task state."""
@@ -272,6 +279,9 @@ def process_task_state(
             history=new_messages,
         )
 
+    if a2a_task.status.state in PENDING_STATES:
+        return None
+
     return None
 
 

lib/crewai/src/crewai/a2a/templates.py

@@ -38,3 +38,18 @@ You MUST now:
 DO NOT send another request - the task is already done.
 </REMOTE_AGENT_STATUS>
 """
+
+REMOTE_AGENT_RESPONSE_NOTICE: Final[str] = """
+<REMOTE_AGENT_STATUS>
+STATUS: RESPONSE_RECEIVED
+The remote agent has responded. Their response is in the conversation history above.
+
+You MUST now:
+1. Set is_a2a=false (the remote task is complete and cannot receive more messages)
+2. Provide YOUR OWN response to the original task based on the information received
+
+IMPORTANT: Your response should be addressed to the USER who gave you the original task.
+Report what the remote agent told you in THIRD PERSON (e.g., "The remote agent said..." or "I learned that...").
+Do NOT address the remote agent directly or use "you" to refer to them.
+</REMOTE_AGENT_STATUS>
+"""

lib/crewai/src/crewai/a2a/types.py

@@ -36,6 +36,17 @@ except ImportError:
 
 
 TransportType = Literal["JSONRPC", "GRPC", "HTTP+JSON"]
+ProtocolVersion = Literal[
+    "0.2.0",
+    "0.2.1",
+    "0.2.2",
+    "0.2.3",
+    "0.2.4",
+    "0.2.5",
+    "0.2.6",
+    "0.3.0",
+    "0.4.0",
+]
 
 http_url_adapter: TypeAdapter[HttpUrl] = TypeAdapter(HttpUrl)
 

lib/crewai/src/crewai/a2a/updates/base.py

@@ -2,12 +2,28 @@
 
 from __future__ import annotations
 
-from typing import TYPE_CHECKING, Any, Protocol, TypedDict
+from typing import TYPE_CHECKING, Any, NamedTuple, Protocol, TypedDict
 
 from pydantic import GetCoreSchemaHandler
 from pydantic_core import CoreSchema, core_schema
 
 
+class CommonParams(NamedTuple):
+    """Common parameters shared across all update handlers.
+
+    Groups the frequently-passed parameters to reduce duplication.
+    """
+
+    turn_number: int
+    is_multiturn: bool
+    agent_role: str | None
+    endpoint: str
+    a2a_agent_name: str | None
+    context_id: str | None
+    from_task: Any
+    from_agent: Any
+
+
 if TYPE_CHECKING:
     from a2a.client import Client
     from a2a.types import AgentCard, Message, Task
@@ -63,8 +79,8 @@ class PushNotificationResultStore(Protocol):
     @classmethod
     def __get_pydantic_core_schema__(
         cls,
-        source_type: Any,
-        handler: GetCoreSchemaHandler,
+        _source_type: Any,
+        _handler: GetCoreSchemaHandler,
     ) -> CoreSchema:
         return core_schema.any_schema()
 
@@ -130,3 +146,31 @@ class UpdateHandler(Protocol):
             Result dictionary with status, result/error, and history.
         """
         ...
+
+
+def extract_common_params(kwargs: BaseHandlerKwargs) -> CommonParams:
+    """Extract common parameters from handler kwargs.
+
+    Args:
+        kwargs: Handler kwargs dict.
+
+    Returns:
+        CommonParams with extracted values.
+
+    Raises:
+        ValueError: If endpoint is not provided.
+    """
+    endpoint = kwargs.get("endpoint")
+    if endpoint is None:
+        raise ValueError("endpoint is required for update handlers")
+
+    return CommonParams(
+        turn_number=kwargs.get("turn_number", 0),
+        is_multiturn=kwargs.get("is_multiturn", False),
+        agent_role=kwargs.get("agent_role"),
+        endpoint=endpoint,
+        a2a_agent_name=kwargs.get("a2a_agent_name"),
+        context_id=kwargs.get("context_id"),
+        from_task=kwargs.get("from_task"),
+        from_agent=kwargs.get("from_agent"),
+    )

lib/crewai/src/crewai/a2a/updates/polling/handler.py

@@ -94,7 +94,7 @@ async def _poll_task_until_complete(
             A2APollingStatusEvent(
                 task_id=task_id,
                 context_id=effective_context_id,
-                state=str(task.status.state.value) if task.status.state else "unknown",
+                state=str(task.status.state.value),
                 elapsed_seconds=elapsed,
                 poll_count=poll_count,
                 endpoint=endpoint,
@@ -325,7 +325,7 @@ class PollingHandler:
             crewai_event_bus.emit(
                 agent_branch,
                 A2AConnectionErrorEvent(
-                    endpoint=endpoint or "",
+                    endpoint=endpoint,
                     error=str(e),
                     error_type="unexpected_error",
                     a2a_agent_name=a2a_agent_name,

lib/crewai/src/crewai/a2a/updates/push_notifications/config.py

@@ -2,10 +2,30 @@
 
 from __future__ import annotations
 
+from typing import Annotated
+
 from a2a.types import PushNotificationAuthenticationInfo
-from pydantic import AnyHttpUrl, BaseModel, Field
+from pydantic import AnyHttpUrl, BaseModel, BeforeValidator, Field
 
 from crewai.a2a.updates.base import PushNotificationResultStore
+from crewai.a2a.updates.push_notifications.signature import WebhookSignatureConfig
+
+
+def _coerce_signature(
+    value: str | WebhookSignatureConfig | None,
+) -> WebhookSignatureConfig | None:
+    """Convert string secret to WebhookSignatureConfig."""
+    if value is None:
+        return None
+    if isinstance(value, str):
+        return WebhookSignatureConfig.hmac_sha256(secret=value)
+    return value
+
+
+SignatureInput = Annotated[
+    WebhookSignatureConfig | None,
+    BeforeValidator(_coerce_signature),
+]
 
 
 class PushNotificationConfig(BaseModel):
@@ -19,6 +39,8 @@ class PushNotificationConfig(BaseModel):
         timeout: Max seconds to wait for task completion.
         interval: Seconds between result polling attempts.
         result_store: Store for receiving push notification results.
+        signature: HMAC signature config. Pass a string (secret) for defaults,
+            or WebhookSignatureConfig for custom settings.
     """
 
     url: AnyHttpUrl = Field(description="Callback URL for push notifications")
@@ -36,3 +58,8 @@ class PushNotificationConfig(BaseModel):
     result_store: PushNotificationResultStore | None = Field(
         default=None, description="Result store for push notification handling"
     )
+    signature: SignatureInput = Field(
+        default=None,
+        description="HMAC signature config. Pass a string (secret) for simple usage, "
+        "or WebhookSignatureConfig for custom headers/tolerance.",
+    )

lib/crewai/src/crewai/a2a/updates/push_notifications/handler.py

@@ -24,8 +24,10 @@ from crewai.a2a.task_helpers import (
     send_message_and_get_task_id,
 )
 from crewai.a2a.updates.base import (
+    CommonParams,
     PushNotificationHandlerKwargs,
     PushNotificationResultStore,
+    extract_common_params,
 )
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
@@ -39,10 +41,81 @@ from crewai.events.types.a2a_events import (
 if TYPE_CHECKING:
     from a2a.types import Task as A2ATask
 
-
 logger = logging.getLogger(__name__)
 
 
+def _handle_push_error(
+    error: Exception,
+    error_msg: str,
+    error_type: str,
+    new_messages: list[Message],
+    agent_branch: Any | None,
+    params: CommonParams,
+    task_id: str | None,
+    status_code: int | None = None,
+) -> TaskStateResult:
+    """Handle push notification errors with consistent event emission.
+
+    Args:
+        error: The exception that occurred.
+        error_msg: Formatted error message for the result.
+        error_type: Type of error for the event.
+        new_messages: List to append error message to.
+        agent_branch: Agent tree branch for events.
+        params: Common handler parameters.
+        task_id: A2A task ID.
+        status_code: HTTP status code if applicable.
+
+    Returns:
+        TaskStateResult with failed status.
+    """
+    error_message = Message(
+        role=Role.agent,
+        message_id=str(uuid.uuid4()),
+        parts=[Part(root=TextPart(text=error_msg))],
+        context_id=params.context_id,
+        task_id=task_id,
+    )
+    new_messages.append(error_message)
+
+    crewai_event_bus.emit(
+        agent_branch,
+        A2AConnectionErrorEvent(
+            endpoint=params.endpoint,
+            error=str(error),
+            error_type=error_type,
+            status_code=status_code,
+            a2a_agent_name=params.a2a_agent_name,
+            operation="push_notification",
+            context_id=params.context_id,
+            task_id=task_id,
+            from_task=params.from_task,
+            from_agent=params.from_agent,
+        ),
+    )
+    crewai_event_bus.emit(
+        agent_branch,
+        A2AResponseReceivedEvent(
+            response=error_msg,
+            turn_number=params.turn_number,
+            context_id=params.context_id,
+            is_multiturn=params.is_multiturn,
+            status="failed",
+            final=True,
+            agent_role=params.agent_role,
+            endpoint=params.endpoint,
+            a2a_agent_name=params.a2a_agent_name,
+            from_task=params.from_task,
+            from_agent=params.from_agent,
+        ),
+    )
+    return TaskStateResult(
+        status=TaskState.failed,
+        error=error_msg,
+        history=new_messages,
+    )
+
+
 async def _wait_for_push_result(
     task_id: str,
     result_store: PushNotificationResultStore,
@@ -126,15 +199,8 @@ class PushNotificationHandler:
         polling_timeout = kwargs.get("polling_timeout", 300.0)
         polling_interval = kwargs.get("polling_interval", 2.0)
         agent_branch = kwargs.get("agent_branch")
-        turn_number = kwargs.get("turn_number", 0)
-        is_multiturn = kwargs.get("is_multiturn", False)
-        agent_role = kwargs.get("agent_role")
-        context_id = kwargs.get("context_id")
         task_id = kwargs.get("task_id")
-        endpoint = kwargs.get("endpoint")
-        a2a_agent_name = kwargs.get("a2a_agent_name")
-        from_task = kwargs.get("from_task")
-        from_agent = kwargs.get("from_agent")
+        params = extract_common_params(kwargs)
 
         if config is None:
             error_msg = (
@@ -143,15 +209,15 @@ class PushNotificationHandler:
             crewai_event_bus.emit(
                 agent_branch,
                 A2AConnectionErrorEvent(
-                    endpoint=endpoint or "",
+                    endpoint=params.endpoint,
                     error=error_msg,
                     error_type="configuration_error",
-                    a2a_agent_name=a2a_agent_name,
+                    a2a_agent_name=params.a2a_agent_name,
                     operation="push_notification",
-                    context_id=context_id,
+                    context_id=params.context_id,
                     task_id=task_id,
-                    from_task=from_task,
-                    from_agent=from_agent,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
                 ),
             )
             return TaskStateResult(
@@ -167,15 +233,15 @@ class PushNotificationHandler:
             crewai_event_bus.emit(
                 agent_branch,
                 A2AConnectionErrorEvent(
-                    endpoint=endpoint or "",
+                    endpoint=params.endpoint,
                     error=error_msg,
                     error_type="configuration_error",
-                    a2a_agent_name=a2a_agent_name,
+                    a2a_agent_name=params.a2a_agent_name,
                     operation="push_notification",
-                    context_id=context_id,
+                    context_id=params.context_id,
                     task_id=task_id,
-                    from_task=from_task,
-                    from_agent=from_agent,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
                 ),
             )
             return TaskStateResult(
@@ -189,14 +255,14 @@ class PushNotificationHandler:
                 event_stream=client.send_message(message),
                 new_messages=new_messages,
                 agent_card=agent_card,
-                turn_number=turn_number,
-                is_multiturn=is_multiturn,
-                agent_role=agent_role,
-                from_task=from_task,
-                from_agent=from_agent,
-                endpoint=endpoint,
-                a2a_agent_name=a2a_agent_name,
-                context_id=context_id,
+                turn_number=params.turn_number,
+                is_multiturn=params.is_multiturn,
+                agent_role=params.agent_role,
+                from_task=params.from_task,
+                from_agent=params.from_agent,
+                endpoint=params.endpoint,
+                a2a_agent_name=params.a2a_agent_name,
+                context_id=params.context_id,
             )
 
             if not isinstance(result_or_task_id, str):
@@ -208,12 +274,12 @@ class PushNotificationHandler:
                 agent_branch,
                 A2APushNotificationRegisteredEvent(
                     task_id=task_id,
-                    context_id=context_id,
+                    context_id=params.context_id,
                     callback_url=str(config.url),
-                    endpoint=endpoint,
-                    a2a_agent_name=a2a_agent_name,
-                    from_task=from_task,
-                    from_agent=from_agent,
+                    endpoint=params.endpoint,
+                    a2a_agent_name=params.a2a_agent_name,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
                 ),
             )
 
@@ -229,11 +295,11 @@ class PushNotificationHandler:
                 timeout=polling_timeout,
                 poll_interval=polling_interval,
                 agent_branch=agent_branch,
-                from_task=from_task,
-                from_agent=from_agent,
-                context_id=context_id,
-                endpoint=endpoint,
-                a2a_agent_name=a2a_agent_name,
+                from_task=params.from_task,
+                from_agent=params.from_agent,
+                context_id=params.context_id,
+                endpoint=params.endpoint,
+                a2a_agent_name=params.a2a_agent_name,
             )
 
             if final_task is None:
@@ -247,13 +313,13 @@ class PushNotificationHandler:
                 a2a_task=final_task,
                 new_messages=new_messages,
                 agent_card=agent_card,
-                turn_number=turn_number,
-                is_multiturn=is_multiturn,
-                agent_role=agent_role,
-                endpoint=endpoint,
-                a2a_agent_name=a2a_agent_name,
-                from_task=from_task,
-                from_agent=from_agent,
+                turn_number=params.turn_number,
+                is_multiturn=params.is_multiturn,
+                agent_role=params.agent_role,
+                endpoint=params.endpoint,
+                a2a_agent_name=params.a2a_agent_name,
+                from_task=params.from_task,
+                from_agent=params.from_agent,
             )
             if result:
                 return result
@@ -265,98 +331,24 @@ class PushNotificationHandler:
             )
 
         except A2AClientHTTPError as e:
-            error_msg = f"HTTP Error {e.status_code}: {e!s}"
-
-            error_message = Message(
-                role=Role.agent,
-                message_id=str(uuid.uuid4()),
-                parts=[Part(root=TextPart(text=error_msg))],
-                context_id=context_id,
+            return _handle_push_error(
+                error=e,
+                error_msg=f"HTTP Error {e.status_code}: {e!s}",
+                error_type="http_error",
+                new_messages=new_messages,
+                agent_branch=agent_branch,
+                params=params,
                 task_id=task_id,
-            )
-            new_messages.append(error_message)
-
-            crewai_event_bus.emit(
-                agent_branch,
-                A2AConnectionErrorEvent(
-                    endpoint=endpoint or "",
-                    error=str(e),
-                    error_type="http_error",
-                    status_code=e.status_code,
-                    a2a_agent_name=a2a_agent_name,
-                    operation="push_notification",
-                    context_id=context_id,
-                    task_id=task_id,
-                    from_task=from_task,
-                    from_agent=from_agent,
-                ),
-            )
-            crewai_event_bus.emit(
-                agent_branch,
-                A2AResponseReceivedEvent(
-                    response=error_msg,
-                    turn_number=turn_number,
-                    context_id=context_id,
-                    is_multiturn=is_multiturn,
-                    status="failed",
-                    final=True,
-                    agent_role=agent_role,
-                    endpoint=endpoint,
-                    a2a_agent_name=a2a_agent_name,
-                    from_task=from_task,
-                    from_agent=from_agent,
-                ),
-            )
-            return TaskStateResult(
-                status=TaskState.failed,
-                error=error_msg,
-                history=new_messages,
+                status_code=e.status_code,
             )
 
         except Exception as e:
-            error_msg = f"Unexpected error during push notification: {e!s}"
-
-            error_message = Message(
-                role=Role.agent,
-                message_id=str(uuid.uuid4()),
-                parts=[Part(root=TextPart(text=error_msg))],
-                context_id=context_id,
+            return _handle_push_error(
+                error=e,
+                error_msg=f"Unexpected error during push notification: {e!s}",
+                error_type="unexpected_error",
+                new_messages=new_messages,
+                agent_branch=agent_branch,
+                params=params,
                 task_id=task_id,
             )
-            new_messages.append(error_message)
-
-            crewai_event_bus.emit(
-                agent_branch,
-                A2AConnectionErrorEvent(
-                    endpoint=endpoint or "",
-                    error=str(e),
-                    error_type="unexpected_error",
-                    a2a_agent_name=a2a_agent_name,
-                    operation="push_notification",
-                    context_id=context_id,
-                    task_id=task_id,
-                    from_task=from_task,
-                    from_agent=from_agent,
-                ),
-            )
-            crewai_event_bus.emit(
-                agent_branch,
-                A2AResponseReceivedEvent(
-                    response=error_msg,
-                    turn_number=turn_number,
-                    context_id=context_id,
-                    is_multiturn=is_multiturn,
-                    status="failed",
-                    final=True,
-                    agent_role=agent_role,
-                    endpoint=endpoint,
-                    a2a_agent_name=a2a_agent_name,
-                    from_task=from_task,
-                    from_agent=from_agent,
-                ),
-            )
-            return TaskStateResult(
-                status=TaskState.failed,
-                error=error_msg,
-                history=new_messages,
-            )

lib/crewai/src/crewai/a2a/updates/push_notifications/signature.py

@@ -0,0 +1,87 @@
+"""Webhook signature configuration for push notifications."""
+
+from __future__ import annotations
+
+from enum import Enum
+import secrets
+
+from pydantic import BaseModel, Field, SecretStr
+
+
+class WebhookSignatureMode(str, Enum):
+    """Signature mode for webhook push notifications."""
+
+    NONE = "none"
+    HMAC_SHA256 = "hmac_sha256"
+
+
+class WebhookSignatureConfig(BaseModel):
+    """Configuration for webhook signature verification.
+
+    Provides cryptographic integrity verification and replay attack protection
+    for A2A push notifications.
+
+    Attributes:
+        mode: Signature mode (none or hmac_sha256).
+        secret: Shared secret for HMAC computation (required for hmac_sha256 mode).
+        timestamp_tolerance_seconds: Max allowed age of timestamps for replay protection.
+        header_name: HTTP header name for the signature.
+        timestamp_header_name: HTTP header name for the timestamp.
+    """
+
+    mode: WebhookSignatureMode = Field(
+        default=WebhookSignatureMode.NONE,
+        description="Signature verification mode",
+    )
+    secret: SecretStr | None = Field(
+        default=None,
+        description="Shared secret for HMAC computation",
+    )
+    timestamp_tolerance_seconds: int = Field(
+        default=300,
+        ge=0,
+        description="Max allowed timestamp age in seconds (5 min default)",
+    )
+    header_name: str = Field(
+        default="X-A2A-Signature",
+        description="HTTP header name for the signature",
+    )
+    timestamp_header_name: str = Field(
+        default="X-A2A-Signature-Timestamp",
+        description="HTTP header name for the timestamp",
+    )
+
+    @classmethod
+    def generate_secret(cls, length: int = 32) -> str:
+        """Generate a cryptographically secure random secret.
+
+        Args:
+            length: Number of random bytes to generate (default 32).
+
+        Returns:
+            URL-safe base64-encoded secret string.
+        """
+        return secrets.token_urlsafe(length)
+
+    @classmethod
+    def hmac_sha256(
+        cls,
+        secret: str | SecretStr,
+        timestamp_tolerance_seconds: int = 300,
+    ) -> WebhookSignatureConfig:
+        """Create an HMAC-SHA256 signature configuration.
+
+        Args:
+            secret: Shared secret for HMAC computation.
+            timestamp_tolerance_seconds: Max allowed timestamp age in seconds.
+
+        Returns:
+            Configured WebhookSignatureConfig for HMAC-SHA256.
+        """
+        if isinstance(secret, str):
+            secret = SecretStr(secret)
+        return cls(
+            mode=WebhookSignatureMode.HMAC_SHA256,
+            secret=secret,
+            timestamp_tolerance_seconds=timestamp_tolerance_seconds,
+        )

lib/crewai/src/crewai/a2a/updates/streaming/handler.py

@@ -2,6 +2,9 @@
 
 from __future__ import annotations
 
+import asyncio
+import logging
+from typing import Final
 import uuid
 
 from a2a.client import Client
@@ -11,7 +14,10 @@ from a2a.types import (
     Message,
     Part,
     Role,
+    Task,
     TaskArtifactUpdateEvent,
+    TaskIdParams,
+    TaskQueryParams,
     TaskState,
     TaskStatusUpdateEvent,
     TextPart,
@@ -24,7 +30,10 @@ from crewai.a2a.task_helpers import (
     TaskStateResult,
     process_task_state,
 )
-from crewai.a2a.updates.base import StreamingHandlerKwargs
+from crewai.a2a.updates.base import StreamingHandlerKwargs, extract_common_params
+from crewai.a2a.updates.streaming.params import (
+    process_status_update,
+)
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
     A2AArtifactReceivedEvent,
@@ -35,9 +44,194 @@ from crewai.events.types.a2a_events import (
 )
 
 
+logger = logging.getLogger(__name__)
+
+MAX_RESUBSCRIBE_ATTEMPTS: Final[int] = 3
+RESUBSCRIBE_BACKOFF_BASE: Final[float] = 1.0
+
+
 class StreamingHandler:
     """SSE streaming-based update handler."""
 
+    @staticmethod
+    async def _try_recover_from_interruption(  # type: ignore[misc]
+        client: Client,
+        task_id: str,
+        new_messages: list[Message],
+        agent_card: AgentCard,
+        result_parts: list[str],
+        **kwargs: Unpack[StreamingHandlerKwargs],
+    ) -> TaskStateResult | None:
+        """Attempt to recover from a stream interruption by checking task state.
+
+        If the task completed while we were disconnected, returns the result.
+        If the task is still running, attempts to resubscribe and continue.
+
+        Args:
+            client: A2A client instance.
+            task_id: The task ID to recover.
+            new_messages: List of collected messages.
+            agent_card: The agent card.
+            result_parts: Accumulated result text parts.
+            **kwargs: Handler parameters.
+
+        Returns:
+            TaskStateResult if recovery succeeded (task finished or resubscribe worked).
+            None if recovery not possible (caller should handle failure).
+
+        Note:
+            When None is returned, recovery failed and the original exception should
+            be handled by the caller. All recovery attempts are logged.
+        """
+        params = extract_common_params(kwargs)  # type: ignore[arg-type]
+
+        try:
+            a2a_task: Task = await client.get_task(TaskQueryParams(id=task_id))
+
+            if a2a_task.status.state in TERMINAL_STATES:
+                logger.info(
+                    "Task completed during stream interruption",
+                    extra={"task_id": task_id, "state": str(a2a_task.status.state)},
+                )
+                return process_task_state(
+                    a2a_task=a2a_task,
+                    new_messages=new_messages,
+                    agent_card=agent_card,
+                    turn_number=params.turn_number,
+                    is_multiturn=params.is_multiturn,
+                    agent_role=params.agent_role,
+                    result_parts=result_parts,
+                    endpoint=params.endpoint,
+                    a2a_agent_name=params.a2a_agent_name,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
+                )
+
+            if a2a_task.status.state in ACTIONABLE_STATES:
+                logger.info(
+                    "Task in actionable state during stream interruption",
+                    extra={"task_id": task_id, "state": str(a2a_task.status.state)},
+                )
+                return process_task_state(
+                    a2a_task=a2a_task,
+                    new_messages=new_messages,
+                    agent_card=agent_card,
+                    turn_number=params.turn_number,
+                    is_multiturn=params.is_multiturn,
+                    agent_role=params.agent_role,
+                    result_parts=result_parts,
+                    endpoint=params.endpoint,
+                    a2a_agent_name=params.a2a_agent_name,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
+                    is_final=False,
+                )
+
+            logger.info(
+                "Task still running, attempting resubscribe",
+                extra={"task_id": task_id, "state": str(a2a_task.status.state)},
+            )
+
+            for attempt in range(MAX_RESUBSCRIBE_ATTEMPTS):
+                try:
+                    backoff = RESUBSCRIBE_BACKOFF_BASE * (2**attempt)
+                    if attempt > 0:
+                        await asyncio.sleep(backoff)
+
+                    event_stream = client.resubscribe(TaskIdParams(id=task_id))
+
+                    async for event in event_stream:
+                        if isinstance(event, tuple):
+                            resubscribed_task, update = event
+
+                            is_final_update = (
+                                process_status_update(update, result_parts)
+                                if isinstance(update, TaskStatusUpdateEvent)
+                                else False
+                            )
+
+                            if isinstance(update, TaskArtifactUpdateEvent):
+                                artifact = update.artifact
+                                result_parts.extend(
+                                    part.root.text
+                                    for part in artifact.parts
+                                    if part.root.kind == "text"
+                                )
+
+                            if (
+                                is_final_update
+                                or resubscribed_task.status.state
+                                in TERMINAL_STATES | ACTIONABLE_STATES
+                            ):
+                                return process_task_state(
+                                    a2a_task=resubscribed_task,
+                                    new_messages=new_messages,
+                                    agent_card=agent_card,
+                                    turn_number=params.turn_number,
+                                    is_multiturn=params.is_multiturn,
+                                    agent_role=params.agent_role,
+                                    result_parts=result_parts,
+                                    endpoint=params.endpoint,
+                                    a2a_agent_name=params.a2a_agent_name,
+                                    from_task=params.from_task,
+                                    from_agent=params.from_agent,
+                                    is_final=is_final_update,
+                                )
+
+                        elif isinstance(event, Message):
+                            new_messages.append(event)
+                            result_parts.extend(
+                                part.root.text
+                                for part in event.parts
+                                if part.root.kind == "text"
+                            )
+
+                    final_task = await client.get_task(TaskQueryParams(id=task_id))
+                    return process_task_state(
+                        a2a_task=final_task,
+                        new_messages=new_messages,
+                        agent_card=agent_card,
+                        turn_number=params.turn_number,
+                        is_multiturn=params.is_multiturn,
+                        agent_role=params.agent_role,
+                        result_parts=result_parts,
+                        endpoint=params.endpoint,
+                        a2a_agent_name=params.a2a_agent_name,
+                        from_task=params.from_task,
+                        from_agent=params.from_agent,
+                    )
+
+                except Exception as resubscribe_error:  # noqa: PERF203
+                    logger.warning(
+                        "Resubscribe attempt failed",
+                        extra={
+                            "task_id": task_id,
+                            "attempt": attempt + 1,
+                            "max_attempts": MAX_RESUBSCRIBE_ATTEMPTS,
+                            "error": str(resubscribe_error),
+                        },
+                    )
+                    if attempt == MAX_RESUBSCRIBE_ATTEMPTS - 1:
+                        return None
+
+        except Exception as e:
+            logger.warning(
+                "Failed to recover from stream interruption due to unexpected error",
+                extra={
+                    "task_id": task_id,
+                    "error": str(e),
+                    "error_type": type(e).__name__,
+                },
+                exc_info=True,
+            )
+            return None
+
+        logger.warning(
+            "Recovery exhausted all resubscribe attempts without success",
+            extra={"task_id": task_id, "max_attempts": MAX_RESUBSCRIBE_ATTEMPTS},
+        )
+        return None
+
     @staticmethod
     async def execute(
         client: Client,
@@ -58,42 +252,40 @@ class StreamingHandler:
         Returns:
             Dictionary with status, result/error, and history.
         """
-        context_id = kwargs.get("context_id")
         task_id = kwargs.get("task_id")
-        turn_number = kwargs.get("turn_number", 0)
-        is_multiturn = kwargs.get("is_multiturn", False)
-        agent_role = kwargs.get("agent_role")
-        endpoint = kwargs.get("endpoint")
-        a2a_agent_name = kwargs.get("a2a_agent_name")
-        from_task = kwargs.get("from_task")
-        from_agent = kwargs.get("from_agent")
         agent_branch = kwargs.get("agent_branch")
+        params = extract_common_params(kwargs)
 
         result_parts: list[str] = []
         final_result: TaskStateResult | None = None
         event_stream = client.send_message(message)
         chunk_index = 0
+        current_task_id: str | None = task_id
 
         crewai_event_bus.emit(
             agent_branch,
             A2AStreamingStartedEvent(
                 task_id=task_id,
-                context_id=context_id,
-                endpoint=endpoint or "",
-                a2a_agent_name=a2a_agent_name,
-                turn_number=turn_number,
-                is_multiturn=is_multiturn,
-                agent_role=agent_role,
-                from_task=from_task,
-                from_agent=from_agent,
+                context_id=params.context_id,
+                endpoint=params.endpoint,
+                a2a_agent_name=params.a2a_agent_name,
+                turn_number=params.turn_number,
+                is_multiturn=params.is_multiturn,
+                agent_role=params.agent_role,
+                from_task=params.from_task,
+                from_agent=params.from_agent,
             ),
         )
 
         try:
             async for event in event_stream:
+                if isinstance(event, tuple):
+                    a2a_task, _ = event
+                    current_task_id = a2a_task.id
+
                 if isinstance(event, Message):
                     new_messages.append(event)
-                    message_context_id = event.context_id or context_id
+                    message_context_id = event.context_id or params.context_id
                     for part in event.parts:
                         if part.root.kind == "text":
                             text = part.root.text
@@ -105,12 +297,12 @@ class StreamingHandler:
                                     context_id=message_context_id,
                                     chunk=text,
                                     chunk_index=chunk_index,
-                                    endpoint=endpoint,
-                                    a2a_agent_name=a2a_agent_name,
-                                    turn_number=turn_number,
-                                    is_multiturn=is_multiturn,
-                                    from_task=from_task,
-                                    from_agent=from_agent,
+                                    endpoint=params.endpoint,
+                                    a2a_agent_name=params.a2a_agent_name,
+                                    turn_number=params.turn_number,
+                                    is_multiturn=params.is_multiturn,
+                                    from_task=params.from_task,
+                                    from_agent=params.from_agent,
                                 ),
                             )
                             chunk_index += 1
@@ -128,12 +320,12 @@ class StreamingHandler:
                         artifact_size = None
                         if artifact.parts:
                             artifact_size = sum(
-                                len(p.root.text.encode("utf-8"))
+                                len(p.root.text.encode())
                                 if p.root.kind == "text"
                                 else len(getattr(p.root, "data", b""))
                                 for p in artifact.parts
                             )
-                        effective_context_id = a2a_task.context_id or context_id
+                        effective_context_id = a2a_task.context_id or params.context_id
                         crewai_event_bus.emit(
                             agent_branch,
                             A2AArtifactReceivedEvent(
@@ -147,29 +339,21 @@ class StreamingHandler:
                                 size_bytes=artifact_size,
                                 append=update.append or False,
                                 last_chunk=update.last_chunk or False,
-                                endpoint=endpoint,
-                                a2a_agent_name=a2a_agent_name,
+                                endpoint=params.endpoint,
+                                a2a_agent_name=params.a2a_agent_name,
                                 context_id=effective_context_id,
-                                turn_number=turn_number,
-                                is_multiturn=is_multiturn,
-                                from_task=from_task,
-                                from_agent=from_agent,
+                                turn_number=params.turn_number,
+                                is_multiturn=params.is_multiturn,
+                                from_task=params.from_task,
+                                from_agent=params.from_agent,
                             ),
                         )
 
-                    is_final_update = False
-                    if isinstance(update, TaskStatusUpdateEvent):
-                        is_final_update = update.final
-                        if (
-                            update.status
-                            and update.status.message
-                            and update.status.message.parts
-                        ):
-                            result_parts.extend(
-                                part.root.text
-                                for part in update.status.message.parts
-                                if part.root.kind == "text" and part.root.text
-                            )
+                    is_final_update = (
+                        process_status_update(update, result_parts)
+                        if isinstance(update, TaskStatusUpdateEvent)
+                        else False
+                    )
 
                     if (
                         not is_final_update
@@ -182,27 +366,68 @@ class StreamingHandler:
                         a2a_task=a2a_task,
                         new_messages=new_messages,
                         agent_card=agent_card,
-                        turn_number=turn_number,
-                        is_multiturn=is_multiturn,
-                        agent_role=agent_role,
+                        turn_number=params.turn_number,
+                        is_multiturn=params.is_multiturn,
+                        agent_role=params.agent_role,
                         result_parts=result_parts,
-                        endpoint=endpoint,
-                        a2a_agent_name=a2a_agent_name,
-                        from_task=from_task,
-                        from_agent=from_agent,
+                        endpoint=params.endpoint,
+                        a2a_agent_name=params.a2a_agent_name,
+                        from_task=params.from_task,
+                        from_agent=params.from_agent,
                         is_final=is_final_update,
                     )
                     if final_result:
                         break
 
         except A2AClientHTTPError as e:
+            if current_task_id:
+                logger.info(
+                    "Stream interrupted with HTTP error, attempting recovery",
+                    extra={
+                        "task_id": current_task_id,
+                        "error": str(e),
+                        "status_code": e.status_code,
+                    },
+                )
+                recovery_kwargs = {k: v for k, v in kwargs.items() if k != "task_id"}
+                recovered_result = (
+                    await StreamingHandler._try_recover_from_interruption(
+                        client=client,
+                        task_id=current_task_id,
+                        new_messages=new_messages,
+                        agent_card=agent_card,
+                        result_parts=result_parts,
+                        **recovery_kwargs,
+                    )
+                )
+                if recovered_result:
+                    logger.info(
+                        "Successfully recovered task after HTTP error",
+                        extra={
+                            "task_id": current_task_id,
+                            "status": str(recovered_result.get("status")),
+                        },
+                    )
+                    return recovered_result
+
+                logger.warning(
+                    "Failed to recover from HTTP error, returning failure",
+                    extra={
+                        "task_id": current_task_id,
+                        "status_code": e.status_code,
+                        "original_error": str(e),
+                    },
+                )
+
             error_msg = f"HTTP Error {e.status_code}: {e!s}"
+            error_type = "http_error"
+            status_code = e.status_code
 
             error_message = Message(
                 role=Role.agent,
                 message_id=str(uuid.uuid4()),
                 parts=[Part(root=TextPart(text=error_msg))],
-                context_id=context_id,
+                context_id=params.context_id,
                 task_id=task_id,
             )
             new_messages.append(error_message)
@@ -210,32 +435,118 @@ class StreamingHandler:
             crewai_event_bus.emit(
                 agent_branch,
                 A2AConnectionErrorEvent(
-                    endpoint=endpoint or "",
+                    endpoint=params.endpoint,
                     error=str(e),
-                    error_type="http_error",
-                    status_code=e.status_code,
-                    a2a_agent_name=a2a_agent_name,
+                    error_type=error_type,
+                    status_code=status_code,
+                    a2a_agent_name=params.a2a_agent_name,
                     operation="streaming",
-                    context_id=context_id,
+                    context_id=params.context_id,
                     task_id=task_id,
-                    from_task=from_task,
-                    from_agent=from_agent,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
                 ),
             )
             crewai_event_bus.emit(
                 agent_branch,
                 A2AResponseReceivedEvent(
                     response=error_msg,
-                    turn_number=turn_number,
-                    context_id=context_id,
-                    is_multiturn=is_multiturn,
+                    turn_number=params.turn_number,
+                    context_id=params.context_id,
+                    is_multiturn=params.is_multiturn,
                     status="failed",
                     final=True,
-                    agent_role=agent_role,
-                    endpoint=endpoint,
-                    a2a_agent_name=a2a_agent_name,
-                    from_task=from_task,
-                    from_agent=from_agent,
+                    agent_role=params.agent_role,
+                    endpoint=params.endpoint,
+                    a2a_agent_name=params.a2a_agent_name,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
+                ),
+            )
+            return TaskStateResult(
+                status=TaskState.failed,
+                error=error_msg,
+                history=new_messages,
+            )
+
+        except (asyncio.TimeoutError, asyncio.CancelledError, ConnectionError) as e:
+            error_type = type(e).__name__.lower()
+            if current_task_id:
+                logger.info(
+                    f"Stream interrupted with {error_type}, attempting recovery",
+                    extra={"task_id": current_task_id, "error": str(e)},
+                )
+                recovery_kwargs = {k: v for k, v in kwargs.items() if k != "task_id"}
+                recovered_result = (
+                    await StreamingHandler._try_recover_from_interruption(
+                        client=client,
+                        task_id=current_task_id,
+                        new_messages=new_messages,
+                        agent_card=agent_card,
+                        result_parts=result_parts,
+                        **recovery_kwargs,
+                    )
+                )
+                if recovered_result:
+                    logger.info(
+                        f"Successfully recovered task after {error_type}",
+                        extra={
+                            "task_id": current_task_id,
+                            "status": str(recovered_result.get("status")),
+                        },
+                    )
+                    return recovered_result
+
+                logger.warning(
+                    f"Failed to recover from {error_type}, returning failure",
+                    extra={
+                        "task_id": current_task_id,
+                        "error_type": error_type,
+                        "original_error": str(e),
+                    },
+                )
+
+            error_msg = f"Connection error during streaming: {e!s}"
+            status_code = None
+
+            error_message = Message(
+                role=Role.agent,
+                message_id=str(uuid.uuid4()),
+                parts=[Part(root=TextPart(text=error_msg))],
+                context_id=params.context_id,
+                task_id=task_id,
+            )
+            new_messages.append(error_message)
+
+            crewai_event_bus.emit(
+                agent_branch,
+                A2AConnectionErrorEvent(
+                    endpoint=params.endpoint,
+                    error=str(e),
+                    error_type=error_type,
+                    status_code=status_code,
+                    a2a_agent_name=params.a2a_agent_name,
+                    operation="streaming",
+                    context_id=params.context_id,
+                    task_id=task_id,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
+                ),
+            )
+            crewai_event_bus.emit(
+                agent_branch,
+                A2AResponseReceivedEvent(
+                    response=error_msg,
+                    turn_number=params.turn_number,
+                    context_id=params.context_id,
+                    is_multiturn=params.is_multiturn,
+                    status="failed",
+                    final=True,
+                    agent_role=params.agent_role,
+                    endpoint=params.endpoint,
+                    a2a_agent_name=params.a2a_agent_name,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
                 ),
             )
             return TaskStateResult(
@@ -245,13 +556,23 @@ class StreamingHandler:
             )
 
         except Exception as e:
-            error_msg = f"Unexpected error during streaming: {e!s}"
+            logger.exception(
+                "Unexpected error during streaming",
+                extra={
+                    "task_id": current_task_id,
+                    "error_type": type(e).__name__,
+                    "endpoint": params.endpoint,
+                },
+            )
+            error_msg = f"Unexpected error during streaming: {type(e).__name__}: {e!s}"
+            error_type = "unexpected_error"
+            status_code = None
 
             error_message = Message(
                 role=Role.agent,
                 message_id=str(uuid.uuid4()),
                 parts=[Part(root=TextPart(text=error_msg))],
-                context_id=context_id,
+                context_id=params.context_id,
                 task_id=task_id,
             )
             new_messages.append(error_message)
@@ -259,31 +580,32 @@ class StreamingHandler:
             crewai_event_bus.emit(
                 agent_branch,
                 A2AConnectionErrorEvent(
-                    endpoint=endpoint or "",
+                    endpoint=params.endpoint,
                     error=str(e),
-                    error_type="unexpected_error",
-                    a2a_agent_name=a2a_agent_name,
+                    error_type=error_type,
+                    status_code=status_code,
+                    a2a_agent_name=params.a2a_agent_name,
                     operation="streaming",
-                    context_id=context_id,
+                    context_id=params.context_id,
                     task_id=task_id,
-                    from_task=from_task,
-                    from_agent=from_agent,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
                 ),
             )
             crewai_event_bus.emit(
                 agent_branch,
                 A2AResponseReceivedEvent(
                     response=error_msg,
-                    turn_number=turn_number,
-                    context_id=context_id,
-                    is_multiturn=is_multiturn,
+                    turn_number=params.turn_number,
+                    context_id=params.context_id,
+                    is_multiturn=params.is_multiturn,
                     status="failed",
                     final=True,
-                    agent_role=agent_role,
-                    endpoint=endpoint,
-                    a2a_agent_name=a2a_agent_name,
-                    from_task=from_task,
-                    from_agent=from_agent,
+                    agent_role=params.agent_role,
+                    endpoint=params.endpoint,
+                    a2a_agent_name=params.a2a_agent_name,
+                    from_task=params.from_task,
+                    from_agent=params.from_agent,
                 ),
             )
             return TaskStateResult(
@@ -301,15 +623,15 @@ class StreamingHandler:
                     crewai_event_bus.emit(
                         agent_branch,
                         A2AConnectionErrorEvent(
-                            endpoint=endpoint or "",
+                            endpoint=params.endpoint,
                             error=str(close_error),
                             error_type="stream_close_error",
-                            a2a_agent_name=a2a_agent_name,
+                            a2a_agent_name=params.a2a_agent_name,
                             operation="stream_close",
-                            context_id=context_id,
+                            context_id=params.context_id,
                             task_id=task_id,
-                            from_task=from_task,
-                            from_agent=from_agent,
+                            from_task=params.from_task,
+                            from_agent=params.from_agent,
                         ),
                     )
 

lib/crewai/src/crewai/a2a/updates/streaming/params.py

@@ -0,0 +1,28 @@
+"""Common parameter extraction for streaming handlers."""
+
+from __future__ import annotations
+
+from a2a.types import TaskStatusUpdateEvent
+
+
+def process_status_update(
+    update: TaskStatusUpdateEvent,
+    result_parts: list[str],
+) -> bool:
+    """Process a status update event and extract text parts.
+
+    Args:
+        update: The status update event.
+        result_parts: List to append text parts to (modified in place).
+
+    Returns:
+        True if this is a final update, False otherwise.
+    """
+    is_final = update.final
+    if update.status and update.status.message and update.status.message.parts:
+        result_parts.extend(
+            part.root.text
+            for part in update.status.message.parts
+            if part.root.kind == "text" and part.root.text
+        )
+    return is_final

lib/crewai/src/crewai/a2a/utils/agent_card.py

@@ -5,6 +5,7 @@ from __future__ import annotations
 import asyncio
 from collections.abc import MutableMapping
 from functools import lru_cache
+import ssl
 import time
 from types import MethodType
 from typing import TYPE_CHECKING
@@ -15,7 +16,7 @@ from aiocache import cached  # type: ignore[import-untyped]
 from aiocache.serializers import PickleSerializer  # type: ignore[import-untyped]
 import httpx
 
-from crewai.a2a.auth.schemas import APIKeyAuth, HTTPDigestAuth
+from crewai.a2a.auth.client_schemes import APIKeyAuth, HTTPDigestAuth
 from crewai.a2a.auth.utils import (
     _auth_store,
     configure_auth_client,
@@ -32,11 +33,51 @@ from crewai.events.types.a2a_events import (
 
 
 if TYPE_CHECKING:
-    from crewai.a2a.auth.schemas import AuthScheme
+    from crewai.a2a.auth.client_schemes import ClientAuthScheme
     from crewai.agent import Agent
     from crewai.task import Task
 
 
+def _get_tls_verify(auth: ClientAuthScheme | None) -> ssl.SSLContext | bool | str:
+    """Get TLS verify parameter from auth scheme.
+
+    Args:
+        auth: Optional authentication scheme with TLS config.
+
+    Returns:
+        SSL context, CA cert path, True for default verification,
+        or False if verification disabled.
+    """
+    if auth and auth.tls:
+        return auth.tls.get_httpx_ssl_context()
+    return True
+
+
+async def _prepare_auth_headers(
+    auth: ClientAuthScheme | None,
+    timeout: int,
+) -> tuple[MutableMapping[str, str], ssl.SSLContext | bool | str]:
+    """Prepare authentication headers and TLS verification settings.
+
+    Args:
+        auth: Optional authentication scheme.
+        timeout: Request timeout in seconds.
+
+    Returns:
+        Tuple of (headers dict, TLS verify setting).
+    """
+    headers: MutableMapping[str, str] = {}
+    verify = _get_tls_verify(auth)
+    if auth:
+        async with httpx.AsyncClient(
+            timeout=timeout, verify=verify
+        ) as temp_auth_client:
+            if isinstance(auth, (HTTPDigestAuth, APIKeyAuth)):
+                configure_auth_client(auth, temp_auth_client)
+            headers = await auth.apply_auth(temp_auth_client, {})
+    return headers, verify
+
+
 def _get_server_config(agent: Agent) -> A2AServerConfig | None:
     """Get A2AServerConfig from an agent's a2a configuration.
 
@@ -59,7 +100,7 @@ def _get_server_config(agent: Agent) -> A2AServerConfig | None:
 
 def fetch_agent_card(
     endpoint: str,
-    auth: AuthScheme | None = None,
+    auth: ClientAuthScheme | None = None,
     timeout: int = 30,
     use_cache: bool = True,
     cache_ttl: int = 300,
@@ -68,7 +109,7 @@ def fetch_agent_card(
 
     Args:
         endpoint: A2A agent endpoint URL (AgentCard URL).
-        auth: Optional AuthScheme for authentication.
+        auth: Optional ClientAuthScheme for authentication.
         timeout: Request timeout in seconds.
         use_cache: Whether to use caching (default True).
         cache_ttl: Cache TTL in seconds (default 300 = 5 minutes).
@@ -90,10 +131,10 @@ def fetch_agent_card(
                     "_authorization_callback",
                 }
             )
-            auth_hash = hash((type(auth).__name__, auth_data))
+            auth_hash = _auth_store.compute_key(type(auth).__name__, auth_data)
         else:
-            auth_hash = 0
-        _auth_store[auth_hash] = auth
+            auth_hash = _auth_store.compute_key("none", "")
+        _auth_store.set(auth_hash, auth)
         ttl_hash = int(time.time() // cache_ttl)
         return _fetch_agent_card_cached(endpoint, auth_hash, timeout, ttl_hash)
 
@@ -109,7 +150,7 @@ def fetch_agent_card(
 
 async def afetch_agent_card(
     endpoint: str,
-    auth: AuthScheme | None = None,
+    auth: ClientAuthScheme | None = None,
     timeout: int = 30,
     use_cache: bool = True,
 ) -> AgentCard:
@@ -119,7 +160,7 @@ async def afetch_agent_card(
 
     Args:
         endpoint: A2A agent endpoint URL (AgentCard URL).
-        auth: Optional AuthScheme for authentication.
+        auth: Optional ClientAuthScheme for authentication.
         timeout: Request timeout in seconds.
         use_cache: Whether to use caching (default True).
 
@@ -140,10 +181,10 @@ async def afetch_agent_card(
                     "_authorization_callback",
                 }
             )
-            auth_hash = hash((type(auth).__name__, auth_data))
+            auth_hash = _auth_store.compute_key(type(auth).__name__, auth_data)
         else:
-            auth_hash = 0
-        _auth_store[auth_hash] = auth
+            auth_hash = _auth_store.compute_key("none", "")
+        _auth_store.set(auth_hash, auth)
         agent_card: AgentCard = await _afetch_agent_card_cached(
             endpoint, auth_hash, timeout
         )
@@ -155,7 +196,7 @@ async def afetch_agent_card(
 @lru_cache()
 def _fetch_agent_card_cached(
     endpoint: str,
-    auth_hash: int,
+    auth_hash: str,
     timeout: int,
     _ttl_hash: int,
 ) -> AgentCard:
@@ -175,7 +216,7 @@ def _fetch_agent_card_cached(
 @cached(ttl=300, serializer=PickleSerializer())  # type: ignore[untyped-decorator]
 async def _afetch_agent_card_cached(
     endpoint: str,
-    auth_hash: int,
+    auth_hash: str,
     timeout: int,
 ) -> AgentCard:
     """Cached async implementation of AgentCard fetching."""
@@ -185,7 +226,7 @@ async def _afetch_agent_card_cached(
 
 async def _afetch_agent_card_impl(
     endpoint: str,
-    auth: AuthScheme | None,
+    auth: ClientAuthScheme | None,
     timeout: int,
 ) -> AgentCard:
     """Internal async implementation of AgentCard fetching."""
@@ -197,16 +238,17 @@ async def _afetch_agent_card_impl(
     else:
         url_parts = endpoint.split("/", 3)
         base_url = f"{url_parts[0]}//{url_parts[2]}"
-        agent_card_path = f"/{url_parts[3]}" if len(url_parts) > 3 else "/"
+        agent_card_path = (
+            f"/{url_parts[3]}"
+            if len(url_parts) > 3 and url_parts[3]
+            else "/.well-known/agent-card.json"
+        )
 
-    headers: MutableMapping[str, str] = {}
-    if auth:
-        async with httpx.AsyncClient(timeout=timeout) as temp_auth_client:
-            if isinstance(auth, (HTTPDigestAuth, APIKeyAuth)):
-                configure_auth_client(auth, temp_auth_client)
-            headers = await auth.apply_auth(temp_auth_client, {})
+    headers, verify = await _prepare_auth_headers(auth, timeout)
 
-    async with httpx.AsyncClient(timeout=timeout, headers=headers) as temp_client:
+    async with httpx.AsyncClient(
+        timeout=timeout, headers=headers, verify=verify
+    ) as temp_client:
         if auth and isinstance(auth, (HTTPDigestAuth, APIKeyAuth)):
             configure_auth_client(auth, temp_client)
 
@@ -434,6 +476,7 @@ def _agent_to_agent_card(agent: Agent, url: str) -> AgentCard:
     """Generate an A2A AgentCard from an Agent instance.
 
     Uses A2AServerConfig values when available, falling back to agent properties.
+    If signing_config is provided, the card will be signed with JWS.
 
     Args:
         agent: The Agent instance to generate a card for.
@@ -442,6 +485,8 @@ def _agent_to_agent_card(agent: Agent, url: str) -> AgentCard:
     Returns:
         AgentCard describing the agent's capabilities.
     """
+    from crewai.a2a.utils.agent_card_signing import sign_agent_card
+
     server_config = _get_server_config(agent) or A2AServerConfig()
 
     name = server_config.name or agent.role
@@ -472,15 +517,31 @@ def _agent_to_agent_card(agent: Agent, url: str) -> AgentCard:
                 )
             )
 
-    return AgentCard(
+    capabilities = server_config.capabilities
+    if server_config.server_extensions:
+        from crewai.a2a.extensions.server import ServerExtensionRegistry
+
+        registry = ServerExtensionRegistry(server_config.server_extensions)
+        ext_list = registry.get_agent_extensions()
+
+        existing_exts = list(capabilities.extensions) if capabilities.extensions else []
+        existing_uris = {e.uri for e in existing_exts}
+        for ext in ext_list:
+            if ext.uri not in existing_uris:
+                existing_exts.append(ext)
+
+        capabilities = capabilities.model_copy(update={"extensions": existing_exts})
+
+    card = AgentCard(
         name=name,
         description=description,
         url=server_config.url or url,
         version=server_config.version,
-        capabilities=server_config.capabilities,
+        capabilities=capabilities,
         default_input_modes=server_config.default_input_modes,
         default_output_modes=server_config.default_output_modes,
         skills=skills,
+        preferred_transport=server_config.transport.preferred,
         protocol_version=server_config.protocol_version,
         provider=server_config.provider,
         documentation_url=server_config.documentation_url,
@@ -489,9 +550,21 @@ def _agent_to_agent_card(agent: Agent, url: str) -> AgentCard:
         security=server_config.security,
         security_schemes=server_config.security_schemes,
         supports_authenticated_extended_card=server_config.supports_authenticated_extended_card,
-        signatures=server_config.signatures,
     )
 
+    if server_config.signing_config:
+        signature = sign_agent_card(
+            card,
+            private_key=server_config.signing_config.get_private_key(),
+            key_id=server_config.signing_config.key_id,
+            algorithm=server_config.signing_config.algorithm,
+        )
+        card = card.model_copy(update={"signatures": [signature]})
+    elif server_config.signatures:
+        card = card.model_copy(update={"signatures": server_config.signatures})
+
+    return card
+
 
 def inject_a2a_server_methods(agent: Agent) -> None:
     """Inject A2A server methods onto an Agent instance.

lib/crewai/src/crewai/a2a/utils/agent_card_signing.py

@@ -0,0 +1,236 @@
+"""AgentCard JWS signing utilities.
+
+This module provides functions for signing and verifying AgentCards using
+JSON Web Signatures (JWS) as per RFC 7515. Signed agent cards allow clients
+to verify the authenticity and integrity of agent card information.
+
+Example:
+    >>> from crewai.a2a.utils.agent_card_signing import sign_agent_card
+    >>> signature = sign_agent_card(agent_card, private_key_pem, key_id="key-1")
+    >>> card_with_sig = card.model_copy(update={"signatures": [signature]})
+"""
+
+from __future__ import annotations
+
+import base64
+import json
+import logging
+from typing import Any, Literal
+
+from a2a.types import AgentCard, AgentCardSignature
+import jwt
+from pydantic import SecretStr
+
+
+logger = logging.getLogger(__name__)
+
+
+SigningAlgorithm = Literal[
+    "RS256", "RS384", "RS512", "ES256", "ES384", "ES512", "PS256", "PS384", "PS512"
+]
+
+
+def _normalize_private_key(private_key: str | bytes | SecretStr) -> bytes:
+    """Normalize private key to bytes format.
+
+    Args:
+        private_key: PEM-encoded private key as string, bytes, or SecretStr.
+
+    Returns:
+        Private key as bytes.
+    """
+    if isinstance(private_key, SecretStr):
+        private_key = private_key.get_secret_value()
+    if isinstance(private_key, str):
+        private_key = private_key.encode()
+    return private_key
+
+
+def _serialize_agent_card(agent_card: AgentCard) -> str:
+    """Serialize AgentCard to canonical JSON for signing.
+
+    Excludes the signatures field to avoid circular reference during signing.
+    Uses sorted keys and compact separators for deterministic output.
+
+    Args:
+        agent_card: The AgentCard to serialize.
+
+    Returns:
+        Canonical JSON string representation.
+    """
+    card_dict = agent_card.model_dump(exclude={"signatures"}, exclude_none=True)
+    return json.dumps(card_dict, sort_keys=True, separators=(",", ":"))
+
+
+def _base64url_encode(data: bytes | str) -> str:
+    """Encode data to URL-safe base64 without padding.
+
+    Args:
+        data: Data to encode.
+
+    Returns:
+        URL-safe base64 encoded string without padding.
+    """
+    if isinstance(data, str):
+        data = data.encode()
+    return base64.urlsafe_b64encode(data).rstrip(b"=").decode("ascii")
+
+
+def sign_agent_card(
+    agent_card: AgentCard,
+    private_key: str | bytes | SecretStr,
+    key_id: str | None = None,
+    algorithm: SigningAlgorithm = "RS256",
+) -> AgentCardSignature:
+    """Sign an AgentCard using JWS (RFC 7515).
+
+    Creates a detached JWS signature for the AgentCard. The signature covers
+    all fields except the signatures field itself.
+
+    Args:
+        agent_card: The AgentCard to sign.
+        private_key: PEM-encoded private key (RSA, EC, or RSA-PSS).
+        key_id: Optional key identifier for the JWS header (kid claim).
+        algorithm: Signing algorithm (RS256, ES256, PS256, etc.).
+
+    Returns:
+        AgentCardSignature with protected header and signature.
+
+    Raises:
+        jwt.exceptions.InvalidKeyError: If the private key is invalid.
+        ValueError: If the algorithm is not supported for the key type.
+
+    Example:
+        >>> signature = sign_agent_card(
+        ...     agent_card,
+        ...     private_key_pem="-----BEGIN PRIVATE KEY-----...",
+        ...     key_id="my-key-id",
+        ... )
+    """
+    key_bytes = _normalize_private_key(private_key)
+    payload = _serialize_agent_card(agent_card)
+
+    protected_header: dict[str, Any] = {"typ": "JWS"}
+    if key_id:
+        protected_header["kid"] = key_id
+
+    jws_token = jwt.api_jws.encode(
+        payload.encode(),
+        key_bytes,
+        algorithm=algorithm,
+        headers=protected_header,
+    )
+
+    parts = jws_token.split(".")
+    protected_b64 = parts[0]
+    signature_b64 = parts[2]
+
+    header: dict[str, Any] | None = None
+    if key_id:
+        header = {"kid": key_id}
+
+    return AgentCardSignature(
+        protected=protected_b64,
+        signature=signature_b64,
+        header=header,
+    )
+
+
+def verify_agent_card_signature(
+    agent_card: AgentCard,
+    signature: AgentCardSignature,
+    public_key: str | bytes,
+    algorithms: list[str] | None = None,
+) -> bool:
+    """Verify an AgentCard JWS signature.
+
+    Validates that the signature was created with the corresponding private key
+    and that the AgentCard content has not been modified.
+
+    Args:
+        agent_card: The AgentCard to verify.
+        signature: The AgentCardSignature to validate.
+        public_key: PEM-encoded public key (RSA, EC, or RSA-PSS).
+        algorithms: List of allowed algorithms. Defaults to common asymmetric algorithms.
+
+    Returns:
+        True if signature is valid, False otherwise.
+
+    Example:
+        >>> is_valid = verify_agent_card_signature(
+        ...     agent_card, signature, public_key_pem="-----BEGIN PUBLIC KEY-----..."
+        ... )
+    """
+    if algorithms is None:
+        algorithms = [
+            "RS256",
+            "RS384",
+            "RS512",
+            "ES256",
+            "ES384",
+            "ES512",
+            "PS256",
+            "PS384",
+            "PS512",
+        ]
+
+    if isinstance(public_key, str):
+        public_key = public_key.encode()
+
+    payload = _serialize_agent_card(agent_card)
+    payload_b64 = _base64url_encode(payload)
+    jws_token = f"{signature.protected}.{payload_b64}.{signature.signature}"
+
+    try:
+        jwt.api_jws.decode(
+            jws_token,
+            public_key,
+            algorithms=algorithms,
+        )
+        return True
+    except jwt.InvalidSignatureError:
+        logger.debug(
+            "AgentCard signature verification failed",
+            extra={"reason": "invalid_signature"},
+        )
+        return False
+    except jwt.DecodeError as e:
+        logger.debug(
+            "AgentCard signature verification failed",
+            extra={"reason": "decode_error", "error": str(e)},
+        )
+        return False
+    except jwt.InvalidAlgorithmError as e:
+        logger.debug(
+            "AgentCard signature verification failed",
+            extra={"reason": "algorithm_error", "error": str(e)},
+        )
+        return False
+
+
+def get_key_id_from_signature(signature: AgentCardSignature) -> str | None:
+    """Extract the key ID (kid) from an AgentCardSignature.
+
+    Checks both the unprotected header and the protected header for the kid claim.
+
+    Args:
+        signature: The AgentCardSignature to extract from.
+
+    Returns:
+        The key ID if present, None otherwise.
+    """
+    if signature.header and "kid" in signature.header:
+        kid: str = signature.header["kid"]
+        return kid
+
+    try:
+        protected = signature.protected
+        padding_needed = 4 - (len(protected) % 4)
+        if padding_needed != 4:
+            protected += "=" * padding_needed
+
+        protected_json = base64.urlsafe_b64decode(protected).decode()
+        protected_header: dict[str, Any] = json.loads(protected_json)
+        return protected_header.get("kid")
+    except (ValueError, json.JSONDecodeError):
+        return None

lib/crewai/src/crewai/a2a/utils/content_type.py

@@ -0,0 +1,339 @@
+"""Content type negotiation for A2A protocol.
+
+This module handles negotiation of input/output MIME types between A2A clients
+and servers based on AgentCard capabilities.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import TYPE_CHECKING, Annotated, Final, Literal, cast
+
+from a2a.types import Part
+
+from crewai.events.event_bus import crewai_event_bus
+from crewai.events.types.a2a_events import A2AContentTypeNegotiatedEvent
+
+
+if TYPE_CHECKING:
+    from a2a.types import AgentCard, AgentSkill
+
+
+TEXT_PLAIN: Literal["text/plain"] = "text/plain"
+APPLICATION_JSON: Literal["application/json"] = "application/json"
+IMAGE_PNG: Literal["image/png"] = "image/png"
+IMAGE_JPEG: Literal["image/jpeg"] = "image/jpeg"
+IMAGE_WILDCARD: Literal["image/*"] = "image/*"
+APPLICATION_PDF: Literal["application/pdf"] = "application/pdf"
+APPLICATION_OCTET_STREAM: Literal["application/octet-stream"] = (
+    "application/octet-stream"
+)
+
+DEFAULT_CLIENT_INPUT_MODES: Final[list[Literal["text/plain", "application/json"]]] = [
+    TEXT_PLAIN,
+    APPLICATION_JSON,
+]
+DEFAULT_CLIENT_OUTPUT_MODES: Final[list[Literal["text/plain", "application/json"]]] = [
+    TEXT_PLAIN,
+    APPLICATION_JSON,
+]
+
+
+@dataclass
+class NegotiatedContentTypes:
+    """Result of content type negotiation."""
+
+    input_modes: Annotated[list[str], "Negotiated input MIME types the client can send"]
+    output_modes: Annotated[
+        list[str], "Negotiated output MIME types the server will produce"
+    ]
+    effective_input_modes: Annotated[list[str], "Server's effective input modes"]
+    effective_output_modes: Annotated[list[str], "Server's effective output modes"]
+    skill_name: Annotated[
+        str | None, "Skill name if negotiation was skill-specific"
+    ] = None
+
+
+class ContentTypeNegotiationError(Exception):
+    """Raised when no compatible content types can be negotiated."""
+
+    def __init__(
+        self,
+        client_input_modes: list[str],
+        client_output_modes: list[str],
+        server_input_modes: list[str],
+        server_output_modes: list[str],
+        direction: str = "both",
+        message: str | None = None,
+    ) -> None:
+        self.client_input_modes = client_input_modes
+        self.client_output_modes = client_output_modes
+        self.server_input_modes = server_input_modes
+        self.server_output_modes = server_output_modes
+        self.direction = direction
+
+        if message is None:
+            if direction == "input":
+                message = (
+                    f"No compatible input content types. "
+                    f"Client supports: {client_input_modes}, "
+                    f"Server accepts: {server_input_modes}"
+                )
+            elif direction == "output":
+                message = (
+                    f"No compatible output content types. "
+                    f"Client accepts: {client_output_modes}, "
+                    f"Server produces: {server_output_modes}"
+                )
+            else:
+                message = (
+                    f"No compatible content types. "
+                    f"Input - Client: {client_input_modes}, Server: {server_input_modes}. "
+                    f"Output - Client: {client_output_modes}, Server: {server_output_modes}"
+                )
+
+        super().__init__(message)
+
+
+def _normalize_mime_type(mime_type: str) -> str:
+    """Normalize MIME type for comparison (lowercase, strip whitespace)."""
+    return mime_type.lower().strip()
+
+
+def _mime_types_compatible(client_type: str, server_type: str) -> bool:
+    """Check if two MIME types are compatible.
+
+    Handles wildcards like image/* matching image/png.
+    """
+    client_normalized = _normalize_mime_type(client_type)
+    server_normalized = _normalize_mime_type(server_type)
+
+    if client_normalized == server_normalized:
+        return True
+
+    if "*" in client_normalized or "*" in server_normalized:
+        client_parts = client_normalized.split("/")
+        server_parts = server_normalized.split("/")
+
+        if len(client_parts) == 2 and len(server_parts) == 2:
+            type_match = (
+                client_parts[0] == server_parts[0]
+                or client_parts[0] == "*"
+                or server_parts[0] == "*"
+            )
+            subtype_match = (
+                client_parts[1] == server_parts[1]
+                or client_parts[1] == "*"
+                or server_parts[1] == "*"
+            )
+            return type_match and subtype_match
+
+    return False
+
+
+def _find_compatible_modes(
+    client_modes: list[str], server_modes: list[str]
+) -> list[str]:
+    """Find compatible MIME types between client and server.
+
+    Returns modes in client preference order.
+    """
+    compatible = []
+    for client_mode in client_modes:
+        for server_mode in server_modes:
+            if _mime_types_compatible(client_mode, server_mode):
+                if "*" in client_mode and "*" not in server_mode:
+                    if server_mode not in compatible:
+                        compatible.append(server_mode)
+                else:
+                    if client_mode not in compatible:
+                        compatible.append(client_mode)
+                break
+    return compatible
+
+
+def _get_effective_modes(
+    agent_card: AgentCard,
+    skill_name: str | None = None,
+) -> tuple[list[str], list[str], AgentSkill | None]:
+    """Get effective input/output modes from agent card.
+
+    If skill_name is provided and the skill has custom modes, those are used.
+    Otherwise, falls back to agent card defaults.
+    """
+    skill: AgentSkill | None = None
+
+    if skill_name and agent_card.skills:
+        for s in agent_card.skills:
+            if s.name == skill_name or s.id == skill_name:
+                skill = s
+                break
+
+    if skill:
+        input_modes = (
+            skill.input_modes if skill.input_modes else agent_card.default_input_modes
+        )
+        output_modes = (
+            skill.output_modes
+            if skill.output_modes
+            else agent_card.default_output_modes
+        )
+    else:
+        input_modes = agent_card.default_input_modes
+        output_modes = agent_card.default_output_modes
+
+    return input_modes, output_modes, skill
+
+
+def negotiate_content_types(
+    agent_card: AgentCard,
+    client_input_modes: list[str] | None = None,
+    client_output_modes: list[str] | None = None,
+    skill_name: str | None = None,
+    emit_event: bool = True,
+    endpoint: str | None = None,
+    a2a_agent_name: str | None = None,
+    strict: bool = False,
+) -> NegotiatedContentTypes:
+    """Negotiate content types between client and server.
+
+    Args:
+        agent_card: The remote agent's card with capability info.
+        client_input_modes: MIME types the client can send. Defaults to text/plain and application/json.
+        client_output_modes: MIME types the client can accept. Defaults to text/plain and application/json.
+        skill_name: Optional skill to use for mode lookup.
+        emit_event: Whether to emit a content type negotiation event.
+        endpoint: Agent endpoint (for event metadata).
+        a2a_agent_name: Agent name (for event metadata).
+        strict: If True, raises error when no compatible types found.
+            If False, returns empty lists for incompatible directions.
+
+    Returns:
+        NegotiatedContentTypes with compatible input and output modes.
+
+    Raises:
+        ContentTypeNegotiationError: If strict=True and no compatible types found.
+    """
+    if client_input_modes is None:
+        client_input_modes = cast(list[str], DEFAULT_CLIENT_INPUT_MODES.copy())
+    if client_output_modes is None:
+        client_output_modes = cast(list[str], DEFAULT_CLIENT_OUTPUT_MODES.copy())
+
+    server_input_modes, server_output_modes, skill = _get_effective_modes(
+        agent_card, skill_name
+    )
+
+    compatible_input = _find_compatible_modes(client_input_modes, server_input_modes)
+    compatible_output = _find_compatible_modes(client_output_modes, server_output_modes)
+
+    if strict:
+        if not compatible_input and not compatible_output:
+            raise ContentTypeNegotiationError(
+                client_input_modes=client_input_modes,
+                client_output_modes=client_output_modes,
+                server_input_modes=server_input_modes,
+                server_output_modes=server_output_modes,
+            )
+        if not compatible_input:
+            raise ContentTypeNegotiationError(
+                client_input_modes=client_input_modes,
+                client_output_modes=client_output_modes,
+                server_input_modes=server_input_modes,
+                server_output_modes=server_output_modes,
+                direction="input",
+            )
+        if not compatible_output:
+            raise ContentTypeNegotiationError(
+                client_input_modes=client_input_modes,
+                client_output_modes=client_output_modes,
+                server_input_modes=server_input_modes,
+                server_output_modes=server_output_modes,
+                direction="output",
+            )
+
+    result = NegotiatedContentTypes(
+        input_modes=compatible_input,
+        output_modes=compatible_output,
+        effective_input_modes=server_input_modes,
+        effective_output_modes=server_output_modes,
+        skill_name=skill.name if skill else None,
+    )
+
+    if emit_event:
+        crewai_event_bus.emit(
+            None,
+            A2AContentTypeNegotiatedEvent(
+                endpoint=endpoint or agent_card.url,
+                a2a_agent_name=a2a_agent_name or agent_card.name,
+                skill_name=skill_name,
+                client_input_modes=client_input_modes,
+                client_output_modes=client_output_modes,
+                server_input_modes=server_input_modes,
+                server_output_modes=server_output_modes,
+                negotiated_input_modes=compatible_input,
+                negotiated_output_modes=compatible_output,
+                negotiation_success=bool(compatible_input and compatible_output),
+            ),
+        )
+
+    return result
+
+
+def validate_content_type(
+    content_type: str,
+    allowed_modes: list[str],
+) -> bool:
+    """Validate that a content type is allowed by a list of modes.
+
+    Args:
+        content_type: The MIME type to validate.
+        allowed_modes: List of allowed MIME types (may include wildcards).
+
+    Returns:
+        True if content_type is compatible with any allowed mode.
+    """
+    for mode in allowed_modes:
+        if _mime_types_compatible(content_type, mode):
+            return True
+    return False
+
+
+def get_part_content_type(part: Part) -> str:
+    """Extract MIME type from an A2A Part.
+
+    Args:
+        part: A Part object containing TextPart, DataPart, or FilePart.
+
+    Returns:
+        The MIME type string for this part.
+    """
+    root = part.root
+    if root.kind == "text":
+        return TEXT_PLAIN
+    if root.kind == "data":
+        return APPLICATION_JSON
+    if root.kind == "file":
+        return root.file.mime_type or APPLICATION_OCTET_STREAM
+    return APPLICATION_OCTET_STREAM
+
+
+def validate_message_parts(
+    parts: list[Part],
+    allowed_modes: list[str],
+) -> list[str]:
+    """Validate that all message parts have allowed content types.
+
+    Args:
+        parts: List of Parts from the incoming message.
+        allowed_modes: List of allowed MIME types (from default_input_modes).
+
+    Returns:
+        List of invalid content types found (empty if all valid).
+    """
+    invalid_types: list[str] = []
+    for part in parts:
+        content_type = get_part_content_type(part)
+        if not validate_content_type(content_type, allowed_modes):
+            if content_type not in invalid_types:
+                invalid_types.append(content_type)
+    return invalid_types

lib/crewai/src/crewai/a2a/utils/delegation.py

@@ -3,14 +3,18 @@
 from __future__ import annotations
 
 import asyncio
-from collections.abc import AsyncIterator, MutableMapping
+import base64
+from collections.abc import AsyncIterator, Callable, MutableMapping
 from contextlib import asynccontextmanager
-from typing import TYPE_CHECKING, Any, Literal
+import logging
+from typing import TYPE_CHECKING, Any, Final, Literal
 import uuid
 
 from a2a.client import Client, ClientConfig, ClientFactory
 from a2a.types import (
     AgentCard,
+    FilePart,
+    FileWithBytes,
     Message,
     Part,
     PushNotificationConfig as A2APushNotificationConfig,
@@ -20,18 +24,24 @@ from a2a.types import (
 import httpx
 from pydantic import BaseModel
 
-from crewai.a2a.auth.schemas import APIKeyAuth, HTTPDigestAuth
+from crewai.a2a.auth.client_schemes import APIKeyAuth, HTTPDigestAuth
 from crewai.a2a.auth.utils import (
     _auth_store,
     configure_auth_client,
     validate_auth_against_agent_card,
 )
+from crewai.a2a.config import ClientTransportConfig, GRPCClientConfig
+from crewai.a2a.extensions.registry import (
+    ExtensionsMiddleware,
+    validate_required_extensions,
+)
 from crewai.a2a.task_helpers import TaskStateResult
 from crewai.a2a.types import (
     HANDLER_REGISTRY,
     HandlerType,
     PartsDict,
     PartsMetadataDict,
+    TransportType,
 )
 from crewai.a2a.updates import (
     PollingConfig,
@@ -39,7 +49,20 @@ from crewai.a2a.updates import (
     StreamingHandler,
     UpdateConfig,
 )
-from crewai.a2a.utils.agent_card import _afetch_agent_card_cached
+from crewai.a2a.utils.agent_card import (
+    _afetch_agent_card_cached,
+    _get_tls_verify,
+    _prepare_auth_headers,
+)
+from crewai.a2a.utils.content_type import (
+    DEFAULT_CLIENT_OUTPUT_MODES,
+    negotiate_content_types,
+)
+from crewai.a2a.utils.transport import (
+    NegotiatedTransport,
+    TransportNegotiationError,
+    negotiate_transport,
+)
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
     A2AConversationStartedEvent,
@@ -49,10 +72,48 @@ from crewai.events.types.a2a_events import (
 )
 
 
+logger = logging.getLogger(__name__)
+
+
 if TYPE_CHECKING:
     from a2a.types import Message
 
-    from crewai.a2a.auth.schemas import AuthScheme
+    from crewai.a2a.auth.client_schemes import ClientAuthScheme
+
+
+_DEFAULT_TRANSPORT: Final[TransportType] = "JSONRPC"
+
+
+def _create_file_parts(input_files: dict[str, Any] | None) -> list[Part]:
+    """Convert FileInput dictionary to FilePart objects.
+
+    Args:
+        input_files: Dictionary mapping names to FileInput objects.
+
+    Returns:
+        List of Part objects containing FilePart data.
+    """
+    if not input_files:
+        return []
+
+    try:
+        import crewai_files  # noqa: F401
+    except ImportError:
+        logger.debug("crewai_files not installed, skipping file parts")
+        return []
+
+    parts: list[Part] = []
+    for name, file_input in input_files.items():
+        content_bytes = file_input.read()
+        content_base64 = base64.b64encode(content_bytes).decode()
+        file_with_bytes = FileWithBytes(
+            bytes=content_base64,
+            mimeType=file_input.content_type,
+            name=file_input.filename or name,
+        )
+        parts.append(Part(root=FilePart(file=file_with_bytes)))
+
+    return parts
 
 
 def get_handler(config: UpdateConfig | None) -> HandlerType:
@@ -71,8 +132,7 @@ def get_handler(config: UpdateConfig | None) -> HandlerType:
 
 def execute_a2a_delegation(
     endpoint: str,
-    transport_protocol: Literal["JSONRPC", "GRPC", "HTTP+JSON"],
-    auth: AuthScheme | None,
+    auth: ClientAuthScheme | None,
     timeout: int,
     task_description: str,
     context: str | None = None,
@@ -91,32 +151,24 @@ def execute_a2a_delegation(
     from_task: Any | None = None,
     from_agent: Any | None = None,
     skill_id: str | None = None,
+    client_extensions: list[str] | None = None,
+    transport: ClientTransportConfig | None = None,
+    accepted_output_modes: list[str] | None = None,
+    input_files: dict[str, Any] | None = None,
 ) -> TaskStateResult:
     """Execute a task delegation to a remote A2A agent synchronously.
 
-    This is the sync wrapper around aexecute_a2a_delegation. For async contexts,
-    use aexecute_a2a_delegation directly.
+    WARNING: This function blocks the entire thread by creating and running a new
+    event loop. Prefer using 'await aexecute_a2a_delegation()' in async contexts
+    for better performance and resource efficiency.
+
+    This is a synchronous wrapper around aexecute_a2a_delegation that creates a
+    new event loop to run the async implementation. It is provided for compatibility
+    with synchronous code paths only.
 
     Args:
-        endpoint: A2A agent endpoint URL (AgentCard URL)
-        transport_protocol: Optional A2A transport protocol (grpc, jsonrpc, http+json)
-        auth: Optional AuthScheme for authentication (Bearer, OAuth2, API Key, HTTP Basic/Digest)
-        timeout: Request timeout in seconds
-        task_description: The task to delegate
-        context: Optional context information
-        context_id: Context ID for correlating messages/tasks
-        task_id: Specific task identifier
-        reference_task_ids: List of related task IDs
-        metadata: Additional metadata (external_id, request_id, etc.)
-        extensions: Protocol extensions for custom fields
-        conversation_history: Previous Message objects from conversation
-        agent_id: Agent identifier for logging
-        agent_role: Role of the CrewAI agent delegating the task
-        agent_branch: Optional agent tree branch for logging
-        response_model: Optional Pydantic model for structured outputs
-        turn_number: Optional turn number for multi-turn conversations
-        endpoint: A2A agent endpoint URL.
-        auth: Optional AuthScheme for authentication.
+        endpoint: A2A agent endpoint URL (AgentCard URL).
+        auth: Optional ClientAuthScheme for authentication.
         timeout: Request timeout in seconds.
         task_description: The task to delegate.
         context: Optional context information.
@@ -135,10 +187,27 @@ def execute_a2a_delegation(
         from_task: Optional CrewAI Task object for event metadata.
         from_agent: Optional CrewAI Agent object for event metadata.
         skill_id: Optional skill ID to target a specific agent capability.
+        client_extensions: A2A protocol extension URIs the client supports.
+        transport: Transport configuration (preferred, supported transports, gRPC settings).
+        accepted_output_modes: MIME types the client can accept in responses.
+        input_files: Optional dictionary of files to send to remote agent.
 
     Returns:
         TaskStateResult with status, result/error, history, and agent_card.
+
+    Raises:
+        RuntimeError: If called from an async context with a running event loop.
     """
+    try:
+        asyncio.get_running_loop()
+        raise RuntimeError(
+            "execute_a2a_delegation() cannot be called from an async context. "
+            "Use 'await aexecute_a2a_delegation()' instead."
+        )
+    except RuntimeError as e:
+        if "no running event loop" not in str(e).lower():
+            raise
+
     loop = asyncio.new_event_loop()
     asyncio.set_event_loop(loop)
     try:
@@ -159,12 +228,15 @@ def execute_a2a_delegation(
                 agent_role=agent_role,
                 agent_branch=agent_branch,
                 response_model=response_model,
-                transport_protocol=transport_protocol,
                 turn_number=turn_number,
                 updates=updates,
                 from_task=from_task,
                 from_agent=from_agent,
                 skill_id=skill_id,
+                client_extensions=client_extensions,
+                transport=transport,
+                accepted_output_modes=accepted_output_modes,
+                input_files=input_files,
             )
         )
     finally:
@@ -176,8 +248,7 @@ def execute_a2a_delegation(
 
 async def aexecute_a2a_delegation(
     endpoint: str,
-    transport_protocol: Literal["JSONRPC", "GRPC", "HTTP+JSON"],
-    auth: AuthScheme | None,
+    auth: ClientAuthScheme | None,
     timeout: int,
     task_description: str,
     context: str | None = None,
@@ -196,6 +267,10 @@ async def aexecute_a2a_delegation(
     from_task: Any | None = None,
     from_agent: Any | None = None,
     skill_id: str | None = None,
+    client_extensions: list[str] | None = None,
+    transport: ClientTransportConfig | None = None,
+    accepted_output_modes: list[str] | None = None,
+    input_files: dict[str, Any] | None = None,
 ) -> TaskStateResult:
     """Execute a task delegation to a remote A2A agent asynchronously.
 
@@ -203,25 +278,8 @@ async def aexecute_a2a_delegation(
     in an async context (e.g., with Crew.akickoff() or agent.aexecute_task()).
 
     Args:
-        endpoint: A2A agent endpoint URL
-        transport_protocol: Optional A2A transport protocol (grpc, jsonrpc, http+json)
-        auth: Optional AuthScheme for authentication
-        timeout: Request timeout in seconds
-        task_description: Task to delegate
-        context: Optional context
-        context_id: Context ID for correlation
-        task_id: Specific task identifier
-        reference_task_ids: Related task IDs
-        metadata: Additional metadata
-        extensions: Protocol extensions
-        conversation_history: Previous Message objects
-        turn_number: Current turn number
-        agent_branch: Agent tree branch for logging
-        agent_id: Agent identifier for logging
-        agent_role: Agent role for logging
-        response_model: Optional Pydantic model for structured outputs
         endpoint: A2A agent endpoint URL.
-        auth: Optional AuthScheme for authentication.
+        auth: Optional ClientAuthScheme for authentication.
         timeout: Request timeout in seconds.
         task_description: The task to delegate.
         context: Optional context information.
@@ -240,6 +298,10 @@ async def aexecute_a2a_delegation(
         from_task: Optional CrewAI Task object for event metadata.
         from_agent: Optional CrewAI Agent object for event metadata.
         skill_id: Optional skill ID to target a specific agent capability.
+        client_extensions: A2A protocol extension URIs the client supports.
+        transport: Transport configuration (preferred, supported transports, gRPC settings).
+        accepted_output_modes: MIME types the client can accept in responses.
+        input_files: Optional dictionary of files to send to remote agent.
 
     Returns:
         TaskStateResult with status, result/error, history, and agent_card.
@@ -271,10 +333,13 @@ async def aexecute_a2a_delegation(
             agent_role=agent_role,
             response_model=response_model,
             updates=updates,
-            transport_protocol=transport_protocol,
             from_task=from_task,
             from_agent=from_agent,
             skill_id=skill_id,
+            client_extensions=client_extensions,
+            transport=transport,
+            accepted_output_modes=accepted_output_modes,
+            input_files=input_files,
         )
     except Exception as e:
         crewai_event_bus.emit(
@@ -294,7 +359,7 @@ async def aexecute_a2a_delegation(
         )
         raise
 
-    agent_card_data: dict[str, Any] = result.get("agent_card") or {}
+    agent_card_data = result.get("agent_card")
     crewai_event_bus.emit(
         agent_branch,
         A2ADelegationCompletedEvent(
@@ -306,7 +371,7 @@ async def aexecute_a2a_delegation(
             endpoint=endpoint,
             a2a_agent_name=result.get("a2a_agent_name"),
             agent_card=agent_card_data,
-            provider=agent_card_data.get("provider"),
+            provider=agent_card_data.get("provider") if agent_card_data else None,
             metadata=metadata,
             extensions=list(extensions.keys()) if extensions else None,
             from_task=from_task,
@@ -319,8 +384,7 @@ async def aexecute_a2a_delegation(
 
 async def _aexecute_a2a_delegation_impl(
     endpoint: str,
-    transport_protocol: Literal["JSONRPC", "GRPC", "HTTP+JSON"],
-    auth: AuthScheme | None,
+    auth: ClientAuthScheme | None,
     timeout: int,
     task_description: str,
     context: str | None,
@@ -340,8 +404,14 @@ async def _aexecute_a2a_delegation_impl(
     from_task: Any | None = None,
     from_agent: Any | None = None,
     skill_id: str | None = None,
+    client_extensions: list[str] | None = None,
+    transport: ClientTransportConfig | None = None,
+    accepted_output_modes: list[str] | None = None,
+    input_files: dict[str, Any] | None = None,
 ) -> TaskStateResult:
     """Internal async implementation of A2A delegation."""
+    if transport is None:
+        transport = ClientTransportConfig()
     if auth:
         auth_data = auth.model_dump_json(
             exclude={
@@ -351,22 +421,70 @@ async def _aexecute_a2a_delegation_impl(
                 "_authorization_callback",
             }
         )
-        auth_hash = hash((type(auth).__name__, auth_data))
+        auth_hash = _auth_store.compute_key(type(auth).__name__, auth_data)
     else:
-        auth_hash = 0
-    _auth_store[auth_hash] = auth
+        auth_hash = _auth_store.compute_key("none", endpoint)
+    _auth_store.set(auth_hash, auth)
     agent_card = await _afetch_agent_card_cached(
         endpoint=endpoint, auth_hash=auth_hash, timeout=timeout
     )
 
     validate_auth_against_agent_card(agent_card, auth)
 
-    headers: MutableMapping[str, str] = {}
-    if auth:
-        async with httpx.AsyncClient(timeout=timeout) as temp_auth_client:
-            if isinstance(auth, (HTTPDigestAuth, APIKeyAuth)):
-                configure_auth_client(auth, temp_auth_client)
-            headers = await auth.apply_auth(temp_auth_client, {})
+    unsupported_exts = validate_required_extensions(agent_card, client_extensions)
+    if unsupported_exts:
+        ext_uris = [ext.uri for ext in unsupported_exts]
+        raise ValueError(
+            f"Agent requires extensions not supported by client: {ext_uris}"
+        )
+
+    negotiated: NegotiatedTransport | None = None
+    effective_transport: TransportType = transport.preferred or _DEFAULT_TRANSPORT
+    effective_url = endpoint
+
+    client_transports: list[str] = (
+        list(transport.supported) if transport.supported else [_DEFAULT_TRANSPORT]
+    )
+
+    try:
+        negotiated = negotiate_transport(
+            agent_card=agent_card,
+            client_supported_transports=client_transports,
+            client_preferred_transport=transport.preferred,
+            endpoint=endpoint,
+            a2a_agent_name=agent_card.name,
+        )
+        effective_transport = negotiated.transport  # type: ignore[assignment]
+        effective_url = negotiated.url
+    except TransportNegotiationError as e:
+        logger.warning(
+            "Transport negotiation failed, using fallback",
+            extra={
+                "error": str(e),
+                "fallback_transport": effective_transport,
+                "fallback_url": effective_url,
+                "endpoint": endpoint,
+                "client_transports": client_transports,
+                "server_transports": [
+                    iface.transport for iface in agent_card.additional_interfaces or []
+                ]
+                + [agent_card.preferred_transport or "JSONRPC"],
+            },
+        )
+
+    effective_output_modes = accepted_output_modes or DEFAULT_CLIENT_OUTPUT_MODES.copy()
+
+    content_negotiated = negotiate_content_types(
+        agent_card=agent_card,
+        client_output_modes=accepted_output_modes,
+        skill_name=skill_id,
+        endpoint=endpoint,
+        a2a_agent_name=agent_card.name,
+    )
+    if content_negotiated.output_modes:
+        effective_output_modes = content_negotiated.output_modes
+
+    headers, _ = await _prepare_auth_headers(auth, timeout)
 
     a2a_agent_name = None
     if agent_card.name:
@@ -441,10 +559,13 @@ async def _aexecute_a2a_delegation_impl(
     if skill_id:
         message_metadata["skill_id"] = skill_id
 
+    parts_list: list[Part] = [Part(root=TextPart(**parts))]
+    parts_list.extend(_create_file_parts(input_files))
+
     message = Message(
         role=Role.user,
         message_id=str(uuid.uuid4()),
-        parts=[Part(root=TextPart(**parts))],
+        parts=parts_list,
         context_id=context_id,
         task_id=task_id,
         reference_task_ids=reference_task_ids,
@@ -513,15 +634,22 @@ async def _aexecute_a2a_delegation_impl(
 
     use_streaming = not use_polling and push_config_for_client is None
 
+    client_agent_card = agent_card
+    if effective_url != agent_card.url:
+        client_agent_card = agent_card.model_copy(update={"url": effective_url})
+
     async with _create_a2a_client(
-        agent_card=agent_card,
-        transport_protocol=transport_protocol,
+        agent_card=client_agent_card,
+        transport_protocol=effective_transport,
         timeout=timeout,
         headers=headers,
         streaming=use_streaming,
         auth=auth,
         use_polling=use_polling,
         push_notification_config=push_config_for_client,
+        client_extensions=client_extensions,
+        accepted_output_modes=effective_output_modes,  # type: ignore[arg-type]
+        grpc_config=transport.grpc,
     ) as client:
         result = await handler.execute(
             client=client,
@@ -535,6 +663,245 @@ async def _aexecute_a2a_delegation_impl(
         return result
 
 
+def _normalize_grpc_metadata(
+    metadata: tuple[tuple[str, str], ...] | None,
+) -> tuple[tuple[str, str], ...] | None:
+    """Lowercase all gRPC metadata keys.
+
+    gRPC requires lowercase metadata keys, but some libraries (like the A2A SDK)
+    use mixed-case headers like 'X-A2A-Extensions'. This normalizes them.
+    """
+    if metadata is None:
+        return None
+    return tuple((key.lower(), value) for key, value in metadata)
+
+
+def _create_grpc_interceptors(
+    auth_metadata: list[tuple[str, str]] | None = None,
+) -> list[Any]:
+    """Create gRPC interceptors for metadata normalization and auth injection.
+
+    Args:
+        auth_metadata: Optional auth metadata to inject into all calls.
+            Used for insecure channels that need auth (non-localhost without TLS).
+
+    Returns a list of interceptors that lowercase metadata keys for gRPC
+    compatibility. Must be called after grpc is imported.
+    """
+    import grpc.aio  # type: ignore[import-untyped]
+
+    def _merge_metadata(
+        existing: tuple[tuple[str, str], ...] | None,
+        auth: list[tuple[str, str]] | None,
+    ) -> tuple[tuple[str, str], ...] | None:
+        """Merge existing metadata with auth metadata and normalize keys."""
+        merged: list[tuple[str, str]] = []
+        if existing:
+            merged.extend(existing)
+        if auth:
+            merged.extend(auth)
+        if not merged:
+            return None
+        return tuple((key.lower(), value) for key, value in merged)
+
+    def _inject_metadata(client_call_details: Any) -> Any:
+        """Inject merged metadata into call details."""
+        return client_call_details._replace(
+            metadata=_merge_metadata(client_call_details.metadata, auth_metadata)
+        )
+
+    class MetadataUnaryUnary(grpc.aio.UnaryUnaryClientInterceptor):  # type: ignore[misc,no-any-unimported]
+        """Interceptor for unary-unary calls that injects auth metadata."""
+
+        async def intercept_unary_unary(  # type: ignore[no-untyped-def]
+            self, continuation, client_call_details, request
+        ):
+            """Intercept unary-unary call and inject metadata."""
+            return await continuation(_inject_metadata(client_call_details), request)
+
+    class MetadataUnaryStream(grpc.aio.UnaryStreamClientInterceptor):  # type: ignore[misc,no-any-unimported]
+        """Interceptor for unary-stream calls that injects auth metadata."""
+
+        async def intercept_unary_stream(  # type: ignore[no-untyped-def]
+            self, continuation, client_call_details, request
+        ):
+            """Intercept unary-stream call and inject metadata."""
+            return await continuation(_inject_metadata(client_call_details), request)
+
+    class MetadataStreamUnary(grpc.aio.StreamUnaryClientInterceptor):  # type: ignore[misc,no-any-unimported]
+        """Interceptor for stream-unary calls that injects auth metadata."""
+
+        async def intercept_stream_unary(  # type: ignore[no-untyped-def]
+            self, continuation, client_call_details, request_iterator
+        ):
+            """Intercept stream-unary call and inject metadata."""
+            return await continuation(
+                _inject_metadata(client_call_details), request_iterator
+            )
+
+    class MetadataStreamStream(grpc.aio.StreamStreamClientInterceptor):  # type: ignore[misc,no-any-unimported]
+        """Interceptor for stream-stream calls that injects auth metadata."""
+
+        async def intercept_stream_stream(  # type: ignore[no-untyped-def]
+            self, continuation, client_call_details, request_iterator
+        ):
+            """Intercept stream-stream call and inject metadata."""
+            return await continuation(
+                _inject_metadata(client_call_details), request_iterator
+            )
+
+    return [
+        MetadataUnaryUnary(),
+        MetadataUnaryStream(),
+        MetadataStreamUnary(),
+        MetadataStreamStream(),
+    ]
+
+
+def _create_grpc_channel_factory(
+    grpc_config: GRPCClientConfig,
+    auth: ClientAuthScheme | None = None,
+) -> Callable[[str], Any]:
+    """Create a gRPC channel factory with the given configuration.
+
+    Args:
+        grpc_config: gRPC client configuration with channel options.
+        auth: Optional ClientAuthScheme for TLS and auth configuration.
+
+    Returns:
+        A callable that creates gRPC channels from URLs.
+    """
+    try:
+        import grpc
+    except ImportError as e:
+        raise ImportError(
+            "gRPC transport requires grpcio. Install with: pip install a2a-sdk[grpc]"
+        ) from e
+
+    auth_metadata: list[tuple[str, str]] = []
+
+    if auth is not None:
+        from crewai.a2a.auth.client_schemes import (
+            APIKeyAuth,
+            BearerTokenAuth,
+            HTTPBasicAuth,
+            HTTPDigestAuth,
+            OAuth2AuthorizationCode,
+            OAuth2ClientCredentials,
+        )
+
+        if isinstance(auth, HTTPDigestAuth):
+            raise ValueError(
+                "HTTPDigestAuth is not supported with gRPC transport. "
+                "Digest authentication requires HTTP challenge-response flow. "
+                "Use BearerTokenAuth, HTTPBasicAuth, APIKeyAuth (header), or OAuth2 instead."
+            )
+        if isinstance(auth, APIKeyAuth) and auth.location in ("query", "cookie"):
+            raise ValueError(
+                f"APIKeyAuth with location='{auth.location}' is not supported with gRPC transport. "
+                "gRPC only supports header-based authentication. "
+                "Use APIKeyAuth with location='header' instead."
+            )
+
+        if isinstance(auth, BearerTokenAuth):
+            auth_metadata.append(("authorization", f"Bearer {auth.token}"))
+        elif isinstance(auth, HTTPBasicAuth):
+            import base64
+
+            basic_credentials = f"{auth.username}:{auth.password}"
+            encoded = base64.b64encode(basic_credentials.encode()).decode()
+            auth_metadata.append(("authorization", f"Basic {encoded}"))
+        elif isinstance(auth, APIKeyAuth) and auth.location == "header":
+            header_name = auth.name.lower()
+            auth_metadata.append((header_name, auth.api_key))
+        elif isinstance(auth, (OAuth2ClientCredentials, OAuth2AuthorizationCode)):
+            if auth._access_token:
+                auth_metadata.append(("authorization", f"Bearer {auth._access_token}"))
+
+    def factory(url: str) -> Any:
+        """Create a gRPC channel for the given URL."""
+        target = url
+        use_tls = False
+
+        if url.startswith("grpcs://"):
+            target = url[8:]
+            use_tls = True
+        elif url.startswith("grpc://"):
+            target = url[7:]
+        elif url.startswith("https://"):
+            target = url[8:]
+            use_tls = True
+        elif url.startswith("http://"):
+            target = url[7:]
+
+        options: list[tuple[str, Any]] = []
+        if grpc_config.max_send_message_length is not None:
+            options.append(
+                ("grpc.max_send_message_length", grpc_config.max_send_message_length)
+            )
+        if grpc_config.max_receive_message_length is not None:
+            options.append(
+                (
+                    "grpc.max_receive_message_length",
+                    grpc_config.max_receive_message_length,
+                )
+            )
+        if grpc_config.keepalive_time_ms is not None:
+            options.append(("grpc.keepalive_time_ms", grpc_config.keepalive_time_ms))
+        if grpc_config.keepalive_timeout_ms is not None:
+            options.append(
+                ("grpc.keepalive_timeout_ms", grpc_config.keepalive_timeout_ms)
+            )
+
+        channel_credentials = None
+        if auth and hasattr(auth, "tls") and auth.tls:
+            channel_credentials = auth.tls.get_grpc_credentials()
+        elif use_tls:
+            channel_credentials = grpc.ssl_channel_credentials()
+
+        if channel_credentials and auth_metadata:
+
+            class AuthMetadataPlugin(grpc.AuthMetadataPlugin):  # type: ignore[misc,no-any-unimported]
+                """gRPC auth metadata plugin that adds auth headers as metadata."""
+
+                def __init__(self, metadata: list[tuple[str, str]]) -> None:
+                    self._metadata = tuple(metadata)
+
+                def __call__(  # type: ignore[no-any-unimported]
+                    self,
+                    context: grpc.AuthMetadataContext,
+                    callback: grpc.AuthMetadataPluginCallback,
+                ) -> None:
+                    callback(self._metadata, None)
+
+            call_creds = grpc.metadata_call_credentials(
+                AuthMetadataPlugin(auth_metadata)
+            )
+            credentials = grpc.composite_channel_credentials(
+                channel_credentials, call_creds
+            )
+            interceptors = _create_grpc_interceptors()
+            return grpc.aio.secure_channel(
+                target, credentials, options=options or None, interceptors=interceptors
+            )
+        if channel_credentials:
+            interceptors = _create_grpc_interceptors()
+            return grpc.aio.secure_channel(
+                target,
+                channel_credentials,
+                options=options or None,
+                interceptors=interceptors,
+            )
+        interceptors = _create_grpc_interceptors(
+            auth_metadata=auth_metadata if auth_metadata else None
+        )
+        return grpc.aio.insecure_channel(
+            target, options=options or None, interceptors=interceptors
+        )
+
+    return factory
+
+
 @asynccontextmanager
 async def _create_a2a_client(
     agent_card: AgentCard,
@@ -542,9 +909,12 @@ async def _create_a2a_client(
     timeout: int,
     headers: MutableMapping[str, str],
     streaming: bool,
-    auth: AuthScheme | None = None,
+    auth: ClientAuthScheme | None = None,
     use_polling: bool = False,
     push_notification_config: PushNotificationConfig | None = None,
+    client_extensions: list[str] | None = None,
+    accepted_output_modes: list[str] | None = None,
+    grpc_config: GRPCClientConfig | None = None,
 ) -> AsyncIterator[Client]:
     """Create and configure an A2A client.
 
@@ -554,16 +924,21 @@ async def _create_a2a_client(
         timeout: Request timeout in seconds.
         headers: HTTP headers (already with auth applied).
         streaming: Enable streaming responses.
-        auth: Optional AuthScheme for client configuration.
+        auth: Optional ClientAuthScheme for client configuration.
         use_polling: Enable polling mode.
         push_notification_config: Optional push notification config.
+        client_extensions: A2A protocol extension URIs to declare support for.
+        accepted_output_modes: MIME types the client can accept in responses.
+        grpc_config: Optional gRPC client configuration.
 
     Yields:
         Configured A2A client instance.
     """
+    verify = _get_tls_verify(auth)
     async with httpx.AsyncClient(
         timeout=timeout,
         headers=headers,
+        verify=verify,
     ) as httpx_client:
         if auth and isinstance(auth, (HTTPDigestAuth, APIKeyAuth)):
             configure_auth_client(auth, httpx_client)
@@ -579,15 +954,27 @@ async def _create_a2a_client(
                 )
             )
 
+        grpc_channel_factory = None
+        if transport_protocol == "GRPC":
+            grpc_channel_factory = _create_grpc_channel_factory(
+                grpc_config or GRPCClientConfig(),
+                auth=auth,
+            )
+
         config = ClientConfig(
             httpx_client=httpx_client,
             supported_transports=[transport_protocol],
             streaming=streaming and not use_polling,
             polling=use_polling,
-            accepted_output_modes=["application/json"],
+            accepted_output_modes=accepted_output_modes or DEFAULT_CLIENT_OUTPUT_MODES,  # type: ignore[arg-type]
             push_notification_configs=push_configs,
+            grpc_channel_factory=grpc_channel_factory,
         )
 
         factory = ClientFactory(config)
         client = factory.create(agent_card)
+
+        if client_extensions:
+            await client.add_request_middleware(ExtensionsMiddleware(client_extensions))
+
         yield client

lib/crewai/src/crewai/a2a/utils/logging.py

@@ -0,0 +1,131 @@
+"""Structured JSON logging utilities for A2A module."""
+
+from __future__ import annotations
+
+from contextvars import ContextVar
+from datetime import datetime, timezone
+import json
+import logging
+from typing import Any
+
+
+_log_context: ContextVar[dict[str, Any] | None] = ContextVar(
+    "log_context", default=None
+)
+
+
+class JSONFormatter(logging.Formatter):
+    """JSON formatter for structured logging.
+
+    Outputs logs as JSON with consistent fields for log aggregators.
+    """
+
+    def format(self, record: logging.LogRecord) -> str:
+        """Format log record as JSON string."""
+        log_data: dict[str, Any] = {
+            "timestamp": datetime.now(timezone.utc).isoformat(),
+            "level": record.levelname,
+            "logger": record.name,
+            "message": record.getMessage(),
+        }
+
+        if record.exc_info:
+            log_data["exception"] = self.formatException(record.exc_info)
+
+        context = _log_context.get()
+        if context is not None:
+            log_data.update(context)
+
+        if hasattr(record, "task_id"):
+            log_data["task_id"] = record.task_id
+        if hasattr(record, "context_id"):
+            log_data["context_id"] = record.context_id
+        if hasattr(record, "agent"):
+            log_data["agent"] = record.agent
+        if hasattr(record, "endpoint"):
+            log_data["endpoint"] = record.endpoint
+        if hasattr(record, "extension"):
+            log_data["extension"] = record.extension
+        if hasattr(record, "error"):
+            log_data["error"] = record.error
+
+        for key, value in record.__dict__.items():
+            if key.startswith("_") or key in (
+                "name",
+                "msg",
+                "args",
+                "created",
+                "filename",
+                "funcName",
+                "levelname",
+                "levelno",
+                "lineno",
+                "module",
+                "msecs",
+                "pathname",
+                "process",
+                "processName",
+                "relativeCreated",
+                "stack_info",
+                "exc_info",
+                "exc_text",
+                "thread",
+                "threadName",
+                "taskName",
+                "message",
+            ):
+                continue
+            if key not in log_data:
+                log_data[key] = value
+
+        return json.dumps(log_data, default=str)
+
+
+class LogContext:
+    """Context manager for adding fields to all logs within a scope.
+
+    Example:
+        with LogContext(task_id="abc", context_id="xyz"):
+            logger.info("Processing task")  # Includes task_id and context_id
+    """
+
+    def __init__(self, **fields: Any) -> None:
+        self._fields = fields
+        self._token: Any = None
+
+    def __enter__(self) -> LogContext:
+        current = _log_context.get() or {}
+        new_context = {**current, **self._fields}
+        self._token = _log_context.set(new_context)
+        return self
+
+    def __exit__(self, *args: Any) -> None:
+        _log_context.reset(self._token)
+
+
+def configure_json_logging(logger_name: str = "crewai.a2a") -> None:
+    """Configure JSON logging for the A2A module.
+
+    Args:
+        logger_name: Logger name to configure.
+    """
+    logger = logging.getLogger(logger_name)
+
+    for handler in logger.handlers[:]:
+        logger.removeHandler(handler)
+
+    handler = logging.StreamHandler()
+    handler.setFormatter(JSONFormatter())
+    logger.addHandler(handler)
+
+
+def get_logger(name: str) -> logging.Logger:
+    """Get a logger configured for structured JSON output.
+
+    Args:
+        name: Logger name.
+
+    Returns:
+        Configured logger instance.
+    """
+    return logging.getLogger(name)

lib/crewai/src/crewai/a2a/utils/task.py

@@ -7,26 +7,40 @@ import base64
 from collections.abc import Callable, Coroutine
 from datetime import datetime
 from functools import wraps
+import json
 import logging
 import os
-from typing import TYPE_CHECKING, Any, ParamSpec, TypeVar, cast
+from typing import TYPE_CHECKING, Any, ParamSpec, TypeVar, TypedDict, cast
 from urllib.parse import urlparse
 
 from a2a.server.agent_execution import RequestContext
 from a2a.server.events import EventQueue
 from a2a.types import (
+    Artifact,
+    FileWithBytes,
+    FileWithUri,
     InternalError,
     InvalidParamsError,
     Message,
+    Part,
     Task as A2ATask,
     TaskState,
     TaskStatus,
     TaskStatusUpdateEvent,
 )
-from a2a.utils import new_agent_text_message, new_text_artifact
+from a2a.utils import (
+    get_data_parts,
+    get_file_parts,
+    new_agent_text_message,
+    new_data_artifact,
+    new_text_artifact,
+)
 from a2a.utils.errors import ServerError
 from aiocache import SimpleMemoryCache, caches  # type: ignore[import-untyped]
+from pydantic import BaseModel
 
+from crewai.a2a.utils.agent_card import _get_server_config
+from crewai.a2a.utils.content_type import validate_message_parts
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
     A2AServerTaskCanceledEvent,
@@ -35,9 +49,11 @@ from crewai.events.types.a2a_events import (
     A2AServerTaskStartedEvent,
 )
 from crewai.task import Task
+from crewai.utilities.pydantic_schema_utils import create_model_from_schema
 
 
 if TYPE_CHECKING:
+    from crewai.a2a.extensions.server import ExtensionContext, ServerExtensionRegistry
     from crewai.agent import Agent
 
 
@@ -47,7 +63,17 @@ P = ParamSpec("P")
 T = TypeVar("T")
 
 
-def _parse_redis_url(url: str) -> dict[str, Any]:
+class RedisCacheConfig(TypedDict, total=False):
+    """Configuration for aiocache Redis backend."""
+
+    cache: str
+    endpoint: str
+    port: int
+    db: int
+    password: str
+
+
+def _parse_redis_url(url: str) -> RedisCacheConfig:
     """Parse a Redis URL into aiocache configuration.
 
     Args:
@@ -56,9 +82,8 @@ def _parse_redis_url(url: str) -> dict[str, Any]:
     Returns:
         Configuration dict for aiocache.RedisCache.
     """
-
     parsed = urlparse(url)
-    config: dict[str, Any] = {
+    config: RedisCacheConfig = {
         "cache": "aiocache.RedisCache",
         "endpoint": parsed.hostname or "localhost",
         "port": parsed.port or 6379,
@@ -138,7 +163,10 @@ def cancellable(
                     if message["type"] == "message":
                         return True
             except (OSError, ConnectionError) as e:
-                logger.warning("Cancel watcher error for task_id=%s: %s", task_id, e)
+                logger.warning(
+                    "Cancel watcher Redis error, falling back to polling",
+                    extra={"task_id": task_id, "error": str(e)},
+                )
                 return await poll_for_cancel()
             return False
 
@@ -166,7 +194,98 @@ def cancellable(
     return wrapper
 
 
-@cancellable
+def _convert_a2a_files_to_file_inputs(
+    a2a_files: list[FileWithBytes | FileWithUri],
+) -> dict[str, Any]:
+    """Convert a2a file types to crewai FileInput dict.
+
+    Args:
+        a2a_files: List of FileWithBytes or FileWithUri from a2a SDK.
+
+    Returns:
+        Dictionary mapping file names to FileInput objects.
+    """
+    try:
+        from crewai_files import File, FileBytes
+    except ImportError:
+        logger.debug("crewai_files not installed, returning empty file dict")
+        return {}
+
+    file_dict: dict[str, Any] = {}
+    for idx, a2a_file in enumerate(a2a_files):
+        if isinstance(a2a_file, FileWithBytes):
+            file_bytes = base64.b64decode(a2a_file.bytes)
+            name = a2a_file.name or f"file_{idx}"
+            file_source = FileBytes(data=file_bytes, filename=a2a_file.name)
+            file_dict[name] = File(source=file_source)
+        elif isinstance(a2a_file, FileWithUri):
+            name = a2a_file.name or f"file_{idx}"
+            file_dict[name] = File(source=a2a_file.uri)
+
+    return file_dict
+
+
+def _extract_response_schema(parts: list[Part]) -> dict[str, Any] | None:
+    """Extract response schema from message parts metadata.
+
+    The client may include a JSON schema in TextPart metadata to specify
+    the expected response format (see delegation.py line 463).
+
+    Args:
+        parts: List of message parts.
+
+    Returns:
+        JSON schema dict if found, None otherwise.
+    """
+    for part in parts:
+        if part.root.kind == "text" and part.root.metadata:
+            schema = part.root.metadata.get("schema")
+            if schema and isinstance(schema, dict):
+                return schema  # type: ignore[no-any-return]
+    return None
+
+
+def _create_result_artifact(
+    result: Any,
+    task_id: str,
+) -> Artifact:
+    """Create artifact from task result, using DataPart for structured data.
+
+    Args:
+        result: The task execution result.
+        task_id: The task ID for naming the artifact.
+
+    Returns:
+        Artifact with appropriate part type (DataPart for dict/Pydantic, TextPart for strings).
+    """
+    artifact_name = f"result_{task_id}"
+    if isinstance(result, dict):
+        return new_data_artifact(artifact_name, result)
+    if isinstance(result, BaseModel):
+        return new_data_artifact(artifact_name, result.model_dump())
+    return new_text_artifact(artifact_name, str(result))
+
+
+def _build_task_description(
+    user_message: str,
+    structured_inputs: list[dict[str, Any]],
+) -> str:
+    """Build task description including structured data if present.
+
+    Args:
+        user_message: The original user message text.
+        structured_inputs: List of structured data from DataParts.
+
+    Returns:
+        Task description with structured data appended if present.
+    """
+    if not structured_inputs:
+        return user_message
+
+    structured_json = json.dumps(structured_inputs, indent=2)
+    return f"{user_message}\n\nStructured Data:\n{structured_json}"
+
+
 async def execute(
     agent: Agent,
     context: RequestContext,
@@ -178,15 +297,54 @@ async def execute(
         agent: The CrewAI agent to execute the task.
         context: The A2A request context containing the user's message.
         event_queue: The event queue for sending responses back.
-
-    TODOs:
-        * need to impl both of structured output and file inputs, depends on `file_inputs` for
-          `crewai.task.Task`, pass the below two to Task. both utils in `a2a.utils.parts`
-        * structured outputs ingestion, `structured_inputs = get_data_parts(parts=context.message.parts)`
-        * file inputs ingestion, `file_inputs = get_file_parts(parts=context.message.parts)`
     """
+    await _execute_impl(agent, context, event_queue, None, None)
+
+
+@cancellable
+async def _execute_impl(
+    agent: Agent,
+    context: RequestContext,
+    event_queue: EventQueue,
+    extension_registry: ServerExtensionRegistry | None,
+    extension_context: ExtensionContext | None,
+) -> None:
+    """Internal implementation for task execution with optional extensions."""
+    server_config = _get_server_config(agent)
+    if context.message and context.message.parts and server_config:
+        allowed_modes = server_config.default_input_modes
+        invalid_types = validate_message_parts(context.message.parts, allowed_modes)
+        if invalid_types:
+            raise ServerError(
+                InvalidParamsError(
+                    message=f"Unsupported content type(s): {', '.join(invalid_types)}. "
+                    f"Supported: {', '.join(allowed_modes)}"
+                )
+            )
+
+    if extension_registry and extension_context:
+        await extension_registry.invoke_on_request(extension_context)
 
     user_message = context.get_user_input()
+
+    response_model: type[BaseModel] | None = None
+    structured_inputs: list[dict[str, Any]] = []
+    a2a_files: list[FileWithBytes | FileWithUri] = []
+
+    if context.message and context.message.parts:
+        schema = _extract_response_schema(context.message.parts)
+        if schema:
+            try:
+                response_model = create_model_from_schema(schema)
+            except Exception as e:
+                logger.debug(
+                    "Failed to create response model from schema",
+                    extra={"error": str(e), "schema_title": schema.get("title")},
+                )
+
+        structured_inputs = get_data_parts(context.message.parts)
+        a2a_files = get_file_parts(context.message.parts)
+
     task_id = context.task_id
     context_id = context.context_id
     if task_id is None or context_id is None:
@@ -203,9 +361,11 @@ async def execute(
         raise ServerError(InvalidParamsError(message=msg)) from None
 
     task = Task(
-        description=user_message,
+        description=_build_task_description(user_message, structured_inputs),
         expected_output="Response to the user's request",
         agent=agent,
+        response_model=response_model,
+        input_files=_convert_a2a_files_to_file_inputs(a2a_files),
     )
 
     crewai_event_bus.emit(
@@ -220,6 +380,10 @@ async def execute(
 
     try:
         result = await agent.aexecute_task(task=task, tools=agent.tools)
+        if extension_registry and extension_context:
+            result = await extension_registry.invoke_on_response(
+                extension_context, result
+            )
         result_str = str(result)
         history: list[Message] = [context.message] if context.message else []
         history.append(new_agent_text_message(result_str, context_id, task_id))
@@ -227,8 +391,8 @@ async def execute(
             A2ATask(
                 id=task_id,
                 context_id=context_id,
-                status=TaskStatus(state=TaskState.input_required),
-                artifacts=[new_text_artifact(result_str, f"result_{task_id}")],
+                status=TaskStatus(state=TaskState.completed),
+                artifacts=[_create_result_artifact(result, task_id)],
                 history=history,
             )
         )
@@ -269,6 +433,27 @@ async def execute(
         ) from e
 
 
+async def execute_with_extensions(
+    agent: Agent,
+    context: RequestContext,
+    event_queue: EventQueue,
+    extension_registry: ServerExtensionRegistry,
+    extension_context: ExtensionContext,
+) -> None:
+    """Execute an A2A task with extension hooks.
+
+    Args:
+        agent: The CrewAI agent to execute the task.
+        context: The A2A request context containing the user's message.
+        event_queue: The event queue for sending responses back.
+        extension_registry: Registry of server extensions.
+        extension_context: Context for extension hooks.
+    """
+    await _execute_impl(
+        agent, context, event_queue, extension_registry, extension_context
+    )
+
+
 async def cancel(
     context: RequestContext,
     event_queue: EventQueue,

lib/crewai/src/crewai/a2a/utils/transport.py

@@ -0,0 +1,215 @@
+"""Transport negotiation utilities for A2A protocol.
+
+This module provides functionality for negotiating the transport protocol
+between an A2A client and server based on their respective capabilities
+and preferences.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Final, Literal
+
+from a2a.types import AgentCard, AgentInterface
+
+from crewai.events.event_bus import crewai_event_bus
+from crewai.events.types.a2a_events import A2ATransportNegotiatedEvent
+
+
+TransportProtocol = Literal["JSONRPC", "GRPC", "HTTP+JSON"]
+NegotiationSource = Literal["client_preferred", "server_preferred", "fallback"]
+
+JSONRPC_TRANSPORT: Literal["JSONRPC"] = "JSONRPC"
+GRPC_TRANSPORT: Literal["GRPC"] = "GRPC"
+HTTP_JSON_TRANSPORT: Literal["HTTP+JSON"] = "HTTP+JSON"
+
+DEFAULT_TRANSPORT_PREFERENCE: Final[list[TransportProtocol]] = [
+    JSONRPC_TRANSPORT,
+    GRPC_TRANSPORT,
+    HTTP_JSON_TRANSPORT,
+]
+
+
+@dataclass
+class NegotiatedTransport:
+    """Result of transport negotiation.
+
+    Attributes:
+        transport: The negotiated transport protocol.
+        url: The URL to use for this transport.
+        source: How the transport was selected ('preferred', 'additional', 'fallback').
+    """
+
+    transport: str
+    url: str
+    source: NegotiationSource
+
+
+class TransportNegotiationError(Exception):
+    """Raised when no compatible transport can be negotiated."""
+
+    def __init__(
+        self,
+        client_transports: list[str],
+        server_transports: list[str],
+        message: str | None = None,
+    ) -> None:
+        """Initialize the error with negotiation details.
+
+        Args:
+            client_transports: Transports supported by the client.
+            server_transports: Transports supported by the server.
+            message: Optional custom error message.
+        """
+        self.client_transports = client_transports
+        self.server_transports = server_transports
+        if message is None:
+            message = (
+                f"No compatible transport found. "
+                f"Client supports: {client_transports}. "
+                f"Server supports: {server_transports}."
+            )
+        super().__init__(message)
+
+
+def _get_server_interfaces(agent_card: AgentCard) -> list[AgentInterface]:
+    """Extract all available interfaces from an AgentCard.
+
+    Creates a unified list of interfaces including the primary URL and
+    any additional interfaces declared by the agent.
+
+    Args:
+        agent_card: The agent's card containing transport information.
+
+    Returns:
+        List of AgentInterface objects representing all available endpoints.
+    """
+    interfaces: list[AgentInterface] = []
+
+    primary_transport = agent_card.preferred_transport or JSONRPC_TRANSPORT
+    interfaces.append(
+        AgentInterface(
+            transport=primary_transport,
+            url=agent_card.url,
+        )
+    )
+
+    if agent_card.additional_interfaces:
+        for interface in agent_card.additional_interfaces:
+            is_duplicate = any(
+                i.url == interface.url and i.transport == interface.transport
+                for i in interfaces
+            )
+            if not is_duplicate:
+                interfaces.append(interface)
+
+    return interfaces
+
+
+def negotiate_transport(
+    agent_card: AgentCard,
+    client_supported_transports: list[str] | None = None,
+    client_preferred_transport: str | None = None,
+    emit_event: bool = True,
+    endpoint: str | None = None,
+    a2a_agent_name: str | None = None,
+) -> NegotiatedTransport:
+    """Negotiate the transport protocol between client and server.
+
+    Compares the client's supported transports with the server's available
+    interfaces to find a compatible transport and URL.
+
+    Negotiation logic:
+    1. If client_preferred_transport is set and server supports it → use it
+    2. Otherwise, if server's preferred is in client's supported → use server's
+    3. Otherwise, find first match from client's supported in server's interfaces
+
+    Args:
+        agent_card: The server's AgentCard with transport information.
+        client_supported_transports: Transports the client can use.
+            Defaults to ["JSONRPC"] if not specified.
+        client_preferred_transport: Client's preferred transport. If set and
+            server supports it, takes priority over server preference.
+        emit_event: Whether to emit a transport negotiation event.
+        endpoint: Original endpoint URL for event metadata.
+        a2a_agent_name: Agent name for event metadata.
+
+    Returns:
+        NegotiatedTransport with the selected transport, URL, and source.
+
+    Raises:
+        TransportNegotiationError: If no compatible transport is found.
+    """
+    if client_supported_transports is None:
+        client_supported_transports = [JSONRPC_TRANSPORT]
+
+    client_transports = [t.upper() for t in client_supported_transports]
+    client_preferred = (
+        client_preferred_transport.upper() if client_preferred_transport else None
+    )
+
+    server_interfaces = _get_server_interfaces(agent_card)
+    server_transports = [i.transport.upper() for i in server_interfaces]
+
+    transport_to_interface: dict[str, AgentInterface] = {}
+    for interface in server_interfaces:
+        transport_upper = interface.transport.upper()
+        if transport_upper not in transport_to_interface:
+            transport_to_interface[transport_upper] = interface
+
+    result: NegotiatedTransport | None = None
+
+    if client_preferred and client_preferred in transport_to_interface:
+        interface = transport_to_interface[client_preferred]
+        result = NegotiatedTransport(
+            transport=interface.transport,
+            url=interface.url,
+            source="client_preferred",
+        )
+    else:
+        server_preferred = (agent_card.preferred_transport or JSONRPC_TRANSPORT).upper()
+        if (
+            server_preferred in client_transports
+            and server_preferred in transport_to_interface
+        ):
+            interface = transport_to_interface[server_preferred]
+            result = NegotiatedTransport(
+                transport=interface.transport,
+                url=interface.url,
+                source="server_preferred",
+            )
+        else:
+            for transport in client_transports:
+                if transport in transport_to_interface:
+                    interface = transport_to_interface[transport]
+                    result = NegotiatedTransport(
+                        transport=interface.transport,
+                        url=interface.url,
+                        source="fallback",
+                    )
+                    break
+
+    if result is None:
+        raise TransportNegotiationError(
+            client_transports=client_transports,
+            server_transports=server_transports,
+        )
+
+    if emit_event:
+        crewai_event_bus.emit(
+            None,
+            A2ATransportNegotiatedEvent(
+                endpoint=endpoint or agent_card.url,
+                a2a_agent_name=a2a_agent_name or agent_card.name,
+                negotiated_transport=result.transport,
+                negotiated_url=result.url,
+                source=result.source,
+                client_supported_transports=client_transports,
+                server_supported_transports=server_transports,
+                server_preferred_transport=agent_card.preferred_transport
+                or JSONRPC_TRANSPORT,
+                client_preferred_transport=client_preferred,
+            ),
+        )
+
+    return result

lib/crewai/src/crewai/agent/core.py

@@ -71,7 +71,6 @@ from crewai.mcp import (
 from crewai.mcp.transports.http import HTTPTransport
 from crewai.mcp.transports.sse import SSETransport
 from crewai.mcp.transports.stdio import StdioTransport
-from crewai.memory.contextual.contextual_memory import ContextualMemory
 from crewai.rag.embeddings.types import EmbedderConfig
 from crewai.security.fingerprint import Fingerprint
 from crewai.tools.agent_tools.agent_tools import AgentTools
@@ -94,6 +93,12 @@ from crewai.utilities.token_counter_callback import TokenCalcHandler
 from crewai.utilities.training_handler import CrewTrainingHandler
 
 
+try:
+    from crewai.a2a.types import AgentResponseProtocol
+except ImportError:
+    AgentResponseProtocol = None  # type: ignore[assignment, misc]
+
+
 if TYPE_CHECKING:
     from crewai_files import FileInput
     from crewai_tools import CodeInterpreterTool
@@ -112,6 +117,8 @@ MCP_TOOL_EXECUTION_TIMEOUT: Final[int] = 30
 MCP_DISCOVERY_TIMEOUT: Final[int] = 15
 MCP_MAX_RETRIES: Final[int] = 3
 
+_passthrough_exceptions: tuple[type[Exception], ...] = ()
+
 # Simple in-memory cache for MCP tool schemas (duration: 5 minutes)
 _mcp_schema_cache: dict[str, Any] = {}
 _cache_ttl: Final[int] = 300  # 5 minutes
@@ -303,19 +310,12 @@ class Agent(BaseAgent):
             raise ValueError(f"Invalid Knowledge Configuration: {e!s}") from e
 
     def _is_any_available_memory(self) -> bool:
-        """Check if any memory is available."""
-        if not self.crew:
-            return False
-
-        memory_attributes = [
-            "memory",
-            "_short_term_memory",
-            "_long_term_memory",
-            "_entity_memory",
-            "_external_memory",
-        ]
-
-        return any(getattr(self.crew, attr) for attr in memory_attributes)
+        """Check if unified memory is available (agent or crew)."""
+        if getattr(self, "memory", None):
+            return True
+        if self.crew and getattr(self.crew, "_memory", None):
+            return True
+        return False
 
     def _supports_native_tool_calling(self, tools: list[BaseTool]) -> bool:
         """Check if the LLM supports native function calling with the given tools.
@@ -379,15 +379,16 @@ class Agent(BaseAgent):
             memory = ""
 
             try:
-                contextual_memory = ContextualMemory(
-                    self.crew._short_term_memory,
-                    self.crew._long_term_memory,
-                    self.crew._entity_memory,
-                    self.crew._external_memory,
-                    agent=self,
-                    task=task,
+                unified_memory = getattr(self, "memory", None) or (
+                    getattr(self.crew, "_memory", None) if self.crew else None
                 )
-                memory = contextual_memory.build_context_for_task(task, context or "")
+                if unified_memory is not None:
+                    query = task.description
+                    matches = unified_memory.recall(query, limit=10)
+                    if matches:
+                        memory = "Relevant memories:\n" + "\n".join(
+                            f"- {m.record.content}" for m in matches
+                        )
                 if memory.strip() != "":
                     task_prompt += self.i18n.slice("memory").format(memory=memory)
 
@@ -473,6 +474,8 @@ class Agent(BaseAgent):
                     ),
                 )
                 raise e
+            if isinstance(e, _passthrough_exceptions):
+                raise
             self._times_executed += 1
             if self._times_executed > self.max_retry_limit:
                 crewai_event_bus.emit(
@@ -490,9 +493,22 @@ class Agent(BaseAgent):
             self._rpm_controller.stop_rpm_counter()
 
         result = process_tool_results(self, result)
+
+        output_for_event = result
+        if (
+            AgentResponseProtocol is not None
+            and isinstance(result, BaseModel)
+            and isinstance(result, AgentResponseProtocol)
+        ):
+            output_for_event = str(result.message)
+        elif not isinstance(result, str):
+            output_for_event = str(result)
+
         crewai_event_bus.emit(
             self,
-            event=AgentExecutionCompletedEvent(agent=self, task=task, output=result),
+            event=AgentExecutionCompletedEvent(
+                agent=self, task=task, output=output_for_event
+            ),
         )
 
         save_last_messages(self)
@@ -601,17 +617,16 @@ class Agent(BaseAgent):
             memory = ""
 
             try:
-                contextual_memory = ContextualMemory(
-                    self.crew._short_term_memory,
-                    self.crew._long_term_memory,
-                    self.crew._entity_memory,
-                    self.crew._external_memory,
-                    agent=self,
-                    task=task,
-                )
-                memory = await contextual_memory.abuild_context_for_task(
-                    task, context or ""
+                unified_memory = getattr(self, "memory", None) or (
+                    getattr(self.crew, "_memory", None) if self.crew else None
                 )
+                if unified_memory is not None:
+                    query = task.description
+                    matches = unified_memory.recall(query, limit=10)
+                    if matches:
+                        memory = "Relevant memories:\n" + "\n".join(
+                            f"- {m.record.content}" for m in matches
+                        )
                 if memory.strip() != "":
                     task_prompt += self.i18n.slice("memory").format(memory=memory)
 
@@ -692,6 +707,8 @@ class Agent(BaseAgent):
                     ),
                 )
                 raise e
+            if isinstance(e, _passthrough_exceptions):
+                raise
             self._times_executed += 1
             if self._times_executed > self.max_retry_limit:
                 crewai_event_bus.emit(
@@ -709,9 +726,22 @@ class Agent(BaseAgent):
             self._rpm_controller.stop_rpm_counter()
 
         result = process_tool_results(self, result)
+
+        output_for_event = result
+        if (
+            AgentResponseProtocol is not None
+            and isinstance(result, BaseModel)
+            and isinstance(result, AgentResponseProtocol)
+        ):
+            output_for_event = str(result.message)
+        elif not isinstance(result, str):
+            output_for_event = str(result)
+
         crewai_event_bus.emit(
             self,
-            event=AgentExecutionCompletedEvent(agent=self, task=task, output=result),
+            event=AgentExecutionCompletedEvent(
+                agent=self, task=task, output=output_for_event
+            ),
         )
 
         save_last_messages(self)
@@ -1674,6 +1704,18 @@ class Agent(BaseAgent):
 
         # Prepare tools
         raw_tools: list[BaseTool] = self.tools or []
+
+        # Inject memory tools for standalone kickoff (crew path handles its own)
+        agent_memory = getattr(self, "memory", None)
+        if agent_memory is not None:
+            from crewai.tools.memory_tools import create_memory_tools
+
+            existing_names = {sanitize_tool_name(t.name) for t in raw_tools}
+            raw_tools.extend(
+                mt for mt in create_memory_tools(agent_memory)
+                if sanitize_tool_name(mt.name) not in existing_names
+            )
+
         parsed_tools = parse_tools(raw_tools)
 
         # Build agent_info for backward-compatible event emission
@@ -1748,6 +1790,49 @@ class Agent(BaseAgent):
         if input_files:
             all_files.update(input_files)
 
+        # Inject memory context for standalone kickoff (recall before execution)
+        if agent_memory is not None:
+            try:
+                crewai_event_bus.emit(
+                    self,
+                    event=MemoryRetrievalStartedEvent(
+                        task_id=None,
+                        source_type="agent_kickoff",
+                        from_agent=self,
+                    ),
+                )
+                start_time = time.time()
+                matches = agent_memory.recall(formatted_messages, limit=10)
+                memory_block = ""
+                if matches:
+                    memory_block = "Relevant memories:\n" + "\n".join(
+                        f"- {m.record.content}" for m in matches
+                    )
+                if memory_block:
+                    formatted_messages += "\n\n" + self.i18n.slice("memory").format(
+                        memory=memory_block
+                    )
+                crewai_event_bus.emit(
+                    self,
+                    event=MemoryRetrievalCompletedEvent(
+                        task_id=None,
+                        memory_content=memory_block,
+                        retrieval_time_ms=(time.time() - start_time) * 1000,
+                        source_type="agent_kickoff",
+                        from_agent=self,
+                    ),
+                )
+            except Exception as e:
+                crewai_event_bus.emit(
+                    self,
+                    event=MemoryRetrievalFailedEvent(
+                        task_id=None,
+                        source_type="agent_kickoff",
+                        from_agent=self,
+                        error=str(e),
+                    ),
+                )
+
         # Build the input dict for the executor
         inputs: dict[str, Any] = {
             "input": formatted_messages,
@@ -1818,6 +1903,9 @@ class Agent(BaseAgent):
                     response_format=response_format,
                 )
 
+            # Save to memory after execution (passive save)
+            self._save_kickoff_to_memory(messages, output.raw)
+
             crewai_event_bus.emit(
                 self,
                 event=LiteAgentExecutionCompletedEvent(
@@ -1838,6 +1926,31 @@ class Agent(BaseAgent):
             )
             raise
 
+    def _save_kickoff_to_memory(
+        self, messages: str | list[LLMMessage], output_text: str
+    ) -> None:
+        """Save kickoff result to memory. No-op if agent has no memory."""
+        agent_memory = getattr(self, "memory", None)
+        if agent_memory is None:
+            return
+        try:
+            if isinstance(messages, str):
+                input_str = messages
+            else:
+                input_str = "\n".join(
+                    str(msg.get("content", "")) for msg in messages if msg.get("content")
+                ) or "User request"
+            raw = (
+                f"Input: {input_str}\n"
+                f"Agent: {self.role}\n"
+                f"Result: {output_text}"
+            )
+            extracted = agent_memory.extract_memories(raw)
+            if extracted:
+                agent_memory.remember_many(extracted)
+        except Exception as e:
+            self._logger.log("error", f"Failed to save kickoff result to memory: {e}")
+
     def _execute_and_build_output(
         self,
         executor: AgentExecutor,
@@ -1858,11 +1971,17 @@ class Agent(BaseAgent):
 
         # Execute the agent (this is called from sync path, so invoke returns dict)
         result = cast(dict[str, Any], executor.invoke(inputs))
-        raw_output = result.get("output", "")
+        output = result.get("output", "")
 
         # Handle response format conversion
         formatted_result: BaseModel | None = None
-        if response_format:
+        raw_output: str
+
+        if isinstance(output, BaseModel):
+            formatted_result = output
+            raw_output = output.model_dump_json()
+        elif response_format:
+            raw_output = str(output) if not isinstance(output, str) else output
             try:
                 model_schema = generate_model_description(response_format)
                 schema = json.dumps(model_schema, indent=2)
@@ -1882,6 +2001,8 @@ class Agent(BaseAgent):
                     formatted_result = conversion_result
             except ConverterError:
                 pass  # Keep raw output if conversion fails
+        else:
+            raw_output = str(output) if not isinstance(output, str) else output
 
         # Get token usage metrics
         if isinstance(self.llm, BaseLLM):
@@ -1889,8 +2010,16 @@ class Agent(BaseAgent):
         else:
             usage_metrics = self._token_process.get_summary()
 
+        raw_str = (
+            raw_output
+            if isinstance(raw_output, str)
+            else raw_output.model_dump_json()
+            if isinstance(raw_output, BaseModel)
+            else str(raw_output)
+        )
+
         return LiteAgentOutput(
-            raw=raw_output,
+            raw=raw_str,
             pydantic=formatted_result,
             agent_role=self.role,
             usage_metrics=usage_metrics.model_dump() if usage_metrics else None,
@@ -1920,11 +2049,17 @@ class Agent(BaseAgent):
 
         # Execute the agent asynchronously
         result = await executor.invoke_async(inputs)
-        raw_output = result.get("output", "")
+        output = result.get("output", "")
 
         # Handle response format conversion
         formatted_result: BaseModel | None = None
-        if response_format:
+        raw_output: str
+
+        if isinstance(output, BaseModel):
+            formatted_result = output
+            raw_output = output.model_dump_json()
+        elif response_format:
+            raw_output = str(output) if not isinstance(output, str) else output
             try:
                 model_schema = generate_model_description(response_format)
                 schema = json.dumps(model_schema, indent=2)
@@ -1944,6 +2079,8 @@ class Agent(BaseAgent):
                     formatted_result = conversion_result
             except ConverterError:
                 pass  # Keep raw output if conversion fails
+        else:
+            raw_output = str(output) if not isinstance(output, str) else output
 
         # Get token usage metrics
         if isinstance(self.llm, BaseLLM):
@@ -1951,8 +2088,16 @@ class Agent(BaseAgent):
         else:
             usage_metrics = self._token_process.get_summary()
 
+        raw_str = (
+            raw_output
+            if isinstance(raw_output, str)
+            else raw_output.model_dump_json()
+            if isinstance(raw_output, BaseModel)
+            else str(raw_output)
+        )
+
         return LiteAgentOutput(
-            raw=raw_output,
+            raw=raw_str,
             pydantic=formatted_result,
             agent_role=self.role,
             usage_metrics=usage_metrics.model_dump() if usage_metrics else None,
@@ -2088,6 +2233,9 @@ class Agent(BaseAgent):
                     response_format=response_format,
                 )
 
+            # Save to memory after async execution (passive save)
+            self._save_kickoff_to_memory(messages, output.raw)
+
             crewai_event_bus.emit(
                 self,
                 event=LiteAgentExecutionCompletedEvent(

lib/crewai/src/crewai/agents/agent_adapters/base_agent_adapter.py

@@ -37,9 +37,10 @@ class BaseAgentAdapter(BaseAgent, ABC):
             tools: Optional list of BaseTool instances to be configured
         """
 
-    def configure_structured_output(self, structured_output: Any) -> None:
+    @abstractmethod
+    def configure_structured_output(self, task: Any) -> None:
         """Configure the structured output for the specific agent implementation.
 
         Args:
-            structured_output: The structured output to be configured
+            task: The task object containing output format specifications.
         """

lib/crewai/src/crewai/agents/agent_adapters/openai_agents/openai_agent_tool_adapter.py

@@ -16,6 +16,7 @@ from crewai.agents.agent_adapters.openai_agents.protocols import (
 )
 from crewai.tools import BaseTool
 from crewai.utilities.import_utils import require
+from crewai.utilities.pydantic_schema_utils import force_additional_properties_false
 from crewai.utilities.string_utils import sanitize_tool_name
 
 
@@ -135,7 +136,9 @@ class OpenAIAgentToolAdapter(BaseToolAdapter):
         for tool in tools:
             schema: dict[str, Any] = tool.args_schema.model_json_schema()
 
-            schema.update({"additionalProperties": False, "type": "object"})
+            schema = force_additional_properties_false(schema)
+
+            schema.update({"type": "object"})
 
             openai_tool: OpenAIFunctionTool = cast(
                 OpenAIFunctionTool,

lib/crewai/src/crewai/agents/agent_builder/base_agent.py

@@ -199,6 +199,14 @@ class BaseAgent(BaseModel, ABC, metaclass=AgentMeta):
         default=None,
         description="List of MCP server references. Supports 'https://server.com/path' for external servers and 'crewai-amp:mcp-name' for AMP marketplace. Use '#tool_name' suffix for specific tools.",
     )
+    memory: Any = Field(
+        default=None,
+        description=(
+            "Enable agent memory. Pass True for default Memory(), "
+            "or a Memory/MemoryScope/MemorySlice instance for custom configuration. "
+            "If not set, falls back to crew memory."
+        ),
+    )
 
     @model_validator(mode="before")
     @classmethod
@@ -329,6 +337,17 @@ class BaseAgent(BaseModel, ABC, metaclass=AgentMeta):
             self._token_process = TokenProcess()
         return self
 
+    @model_validator(mode="after")
+    def resolve_memory(self) -> Self:
+        """Resolve memory field: True creates a default Memory(), instance is used as-is."""
+        if self.memory is True:
+            from crewai.memory.unified_memory import Memory
+
+            self.memory = Memory()
+        elif self.memory is False:
+            self.memory = None
+        return self
+
     @property
     def key(self) -> str:
         source = [

lib/crewai/src/crewai/agents/agent_builder/base_agent_executor_mixin.py

@@ -1,14 +1,8 @@
 from __future__ import annotations
 
-import time
 from typing import TYPE_CHECKING
 
 from crewai.agents.parser import AgentFinish
-from crewai.events.event_listener import event_listener
-from crewai.memory.entity.entity_memory_item import EntityMemoryItem
-from crewai.memory.long_term.long_term_memory_item import LongTermMemoryItem
-from crewai.utilities.converter import ConverterError
-from crewai.utilities.evaluators.task_evaluator import TaskEvaluator
 from crewai.utilities.printer import Printer
 from crewai.utilities.string_utils import sanitize_tool_name
 
@@ -31,159 +25,29 @@ class CrewAgentExecutorMixin:
     _i18n: I18N
     _printer: Printer = Printer()
 
-    def _create_short_term_memory(self, output: AgentFinish) -> None:
-        """Create and save a short-term memory item if conditions are met."""
+    def _save_to_memory(self, output: AgentFinish) -> None:
+        """Save task result to unified memory (memory or crew._memory)."""
+        memory = getattr(self.agent, "memory", None) or (
+            getattr(self.crew, "_memory", None) if self.crew else None
+        )
+        if memory is None or not self.task:
+            return
         if (
-            self.crew
-            and self.agent
-            and self.task
-            and f"Action: {sanitize_tool_name('Delegate work to coworker')}"
-            not in output.text
+            f"Action: {sanitize_tool_name('Delegate work to coworker')}"
+            in output.text
         ):
-            try:
-                if (
-                    hasattr(self.crew, "_short_term_memory")
-                    and self.crew._short_term_memory
-                ):
-                    self.crew._short_term_memory.save(
-                        value=output.text,
-                        metadata={
-                            "observation": self.task.description,
-                        },
-                    )
-            except Exception as e:
-                self.agent._logger.log(
-                    "error", f"Failed to add to short term memory: {e}"
-                )
-
-    def _create_external_memory(self, output: AgentFinish) -> None:
-        """Create and save a external-term memory item if conditions are met."""
-        if (
-            self.crew
-            and self.agent
-            and self.task
-            and hasattr(self.crew, "_external_memory")
-            and self.crew._external_memory
-        ):
-            try:
-                self.crew._external_memory.save(
-                    value=output.text,
-                    metadata={
-                        "description": self.task.description,
-                        "messages": self.messages,
-                    },
-                )
-            except Exception as e:
-                self.agent._logger.log(
-                    "error", f"Failed to add to external memory: {e}"
-                )
-
-    def _create_long_term_memory(self, output: AgentFinish) -> None:
-        """Create and save long-term and entity memory items based on evaluation."""
-        if (
-            self.crew
-            and self.crew._long_term_memory
-            and self.crew._entity_memory
-            and self.task
-            and self.agent
-        ):
-            try:
-                ltm_agent = TaskEvaluator(self.agent)
-                evaluation = ltm_agent.evaluate(self.task, output.text)
-
-                if isinstance(evaluation, ConverterError):
-                    return
-
-                long_term_memory = LongTermMemoryItem(
-                    task=self.task.description,
-                    agent=self.agent.role,
-                    quality=evaluation.quality,
-                    datetime=str(time.time()),
-                    expected_output=self.task.expected_output,
-                    metadata={
-                        "suggestions": evaluation.suggestions,
-                        "quality": evaluation.quality,
-                    },
-                )
-                self.crew._long_term_memory.save(long_term_memory)
-
-                entity_memories = [
-                    EntityMemoryItem(
-                        name=entity.name,
-                        type=entity.type,
-                        description=entity.description,
-                        relationships="\n".join(
-                            [f"- {r}" for r in entity.relationships]
-                        ),
-                    )
-                    for entity in evaluation.entities
-                ]
-                if entity_memories:
-                    self.crew._entity_memory.save(entity_memories)
-            except AttributeError as e:
-                self.agent._logger.log(
-                    "error", f"Missing attributes for long term memory: {e}"
-                )
-            except Exception as e:
-                self.agent._logger.log(
-                    "error", f"Failed to add to long term memory: {e}"
-                )
-        elif (
-            self.crew
-            and self.crew._long_term_memory
-            and self.crew._entity_memory is None
-        ):
-            if self.agent and self.agent.verbose:
-                self._printer.print(
-                    content="Long term memory is enabled, but entity memory is not enabled. Please configure entity memory or set memory=True to automatically enable it.",
-                    color="bold_yellow",
-                )
-
-    def _ask_human_input(self, final_answer: str) -> str:
-        """Prompt human input with mode-appropriate messaging.
-
-        Note: The final answer is already displayed via the AgentLogsExecutionEvent
-        panel, so we only show the feedback prompt here.
-        """
-        from rich.panel import Panel
-        from rich.text import Text
-
-        formatter = event_listener.formatter
-        formatter.pause_live_updates()
-
+            return
         try:
-            # Training mode prompt (single iteration)
-            if self.crew and getattr(self.crew, "_train", False):
-                prompt_text = (
-                    "TRAINING MODE: Provide feedback to improve the agent's performance.\n\n"
-                    "This will be used to train better versions of the agent.\n"
-                    "Please provide detailed feedback about the result quality and reasoning process."
-                )
-                title = "🎓 Training Feedback Required"
-            # Regular human-in-the-loop prompt (multiple iterations)
-            else:
-                prompt_text = (
-                    "Provide feedback on the Final Result above.\n\n"
-                    "• If you are happy with the result, simply hit Enter without typing anything.\n"
-                    "• Otherwise, provide specific improvement requests.\n"
-                    "• You can provide multiple rounds of feedback until satisfied."
-                )
-                title = "💬 Human Feedback Required"
-
-            content = Text()
-            content.append(prompt_text, style="yellow")
-
-            prompt_panel = Panel(
-                content,
-                title=title,
-                border_style="yellow",
-                padding=(1, 2),
+            raw = (
+                f"Task: {self.task.description}\n"
+                f"Agent: {self.agent.role}\n"
+                f"Expected result: {self.task.expected_output}\n"
+                f"Result: {output.text}"
+            )
+            extracted = memory.extract_memories(raw)
+            if extracted:
+                memory.remember_many(extracted, agent_role=self.agent.role)
+        except Exception as e:
+            self.agent._logger.log(
+                "error", f"Failed to save to memory: {e}"
             )
-            formatter.console.print(prompt_panel)
-
-            response = input()
-            if response.strip() != "":
-                formatter.console.print("\n[cyan]Processing your feedback...[/cyan]")
-            return response
-        finally:
-            formatter.resume_live_updates()

lib/crewai/src/crewai/agents/crew_agent_executor.py

@@ -6,7 +6,10 @@ and memory management.
 
 from __future__ import annotations
 
+import asyncio
 from collections.abc import Callable
+from concurrent.futures import ThreadPoolExecutor, as_completed
+import inspect
 import logging
 from typing import TYPE_CHECKING, Any, Literal, cast
 
@@ -19,6 +22,7 @@ from crewai.agents.parser import (
     AgentFinish,
     OutputParserError,
 )
+from crewai.core.providers.human_input import ExecutorContext, get_provider
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.logging_events import (
     AgentLogsExecutionEvent,
@@ -175,15 +179,16 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         """
         return self.llm.supports_stop_words() if self.llm else False
 
-    def invoke(self, inputs: dict[str, Any]) -> dict[str, Any]:
-        """Execute the agent with given inputs.
+    def _setup_messages(self, inputs: dict[str, Any]) -> None:
+        """Set up messages for the agent execution.
 
         Args:
             inputs: Input dictionary containing prompt variables.
-
-        Returns:
-            Dictionary with agent output.
         """
+        provider = get_provider()
+        if provider.setup_messages(cast(ExecutorContext, cast(object, self))):
+            return
+
         if "system" in self.prompt:
             system_prompt = self._format_prompt(
                 cast(str, self.prompt.get("system", "")), inputs
@@ -197,6 +202,19 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             user_prompt = self._format_prompt(self.prompt.get("prompt", ""), inputs)
             self.messages.append(format_message_for_llm(user_prompt))
 
+        provider.post_setup_messages(cast(ExecutorContext, cast(object, self)))
+
+    def invoke(self, inputs: dict[str, Any]) -> dict[str, Any]:
+        """Execute the agent with given inputs.
+
+        Args:
+            inputs: Input dictionary containing prompt variables.
+
+        Returns:
+            Dictionary with agent output.
+        """
+        self._setup_messages(inputs)
+
         self._inject_multimodal_files(inputs)
 
         self._show_start_logs()
@@ -219,9 +237,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         if self.ask_for_human_input:
             formatted_answer = self._handle_human_feedback(formatted_answer)
 
-        self._create_short_term_memory(formatted_answer)
-        self._create_long_term_memory(formatted_answer)
-        self._create_external_memory(formatted_answer)
+        self._save_to_memory(formatted_answer)
         return {"output": formatted_answer.output}
 
     def _inject_multimodal_files(self, inputs: dict[str, Any] | None = None) -> None:
@@ -672,30 +688,142 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         Returns:
             AgentFinish if tool has result_as_answer=True, None otherwise.
         """
-        from datetime import datetime
-        import json
-
-        from crewai.events import crewai_event_bus
-        from crewai.events.types.tool_usage_events import (
-            ToolUsageErrorEvent,
-            ToolUsageFinishedEvent,
-            ToolUsageStartedEvent,
-        )
-
         if not tool_calls:
             return None
 
-        # Only process the FIRST tool call for sequential execution with reflection
-        tool_call = tool_calls[0]
+        parsed_calls = [
+            parsed
+            for tool_call in tool_calls
+            if (parsed := self._parse_native_tool_call(tool_call)) is not None
+        ]
+        if not parsed_calls:
+            return None
 
-        # Extract tool call info - handle OpenAI-style, Anthropic-style, and Gemini-style
+        original_tools_by_name: dict[str, Any] = {}
+        for tool in self.original_tools or []:
+            original_tools_by_name[sanitize_tool_name(tool.name)] = tool
+
+        if len(parsed_calls) > 1:
+            has_result_as_answer_in_batch = any(
+                bool(
+                    original_tools_by_name.get(func_name)
+                    and getattr(
+                        original_tools_by_name.get(func_name), "result_as_answer", False
+                    )
+                )
+                for _, func_name, _ in parsed_calls
+            )
+            has_max_usage_count_in_batch = any(
+                bool(
+                    original_tools_by_name.get(func_name)
+                    and getattr(
+                        original_tools_by_name.get(func_name),
+                        "max_usage_count",
+                        None,
+                    )
+                    is not None
+                )
+                for _, func_name, _ in parsed_calls
+            )
+
+            # Preserve historical sequential behavior for result_as_answer batches.
+            # Also avoid threading around usage counters for max_usage_count tools.
+            if has_result_as_answer_in_batch or has_max_usage_count_in_batch:
+                logger.debug(
+                    "Skipping parallel native execution because batch includes result_as_answer or max_usage_count tool"
+                )
+            else:
+                execution_plan: list[
+                    tuple[str, str, str | dict[str, Any], Any | None]
+                ] = []
+                for call_id, func_name, func_args in parsed_calls:
+                    original_tool = original_tools_by_name.get(func_name)
+                    execution_plan.append(
+                        (call_id, func_name, func_args, original_tool)
+                    )
+
+                self._append_assistant_tool_calls_message(
+                    [
+                        (call_id, func_name, func_args)
+                        for call_id, func_name, func_args, _ in execution_plan
+                    ]
+                )
+
+                max_workers = min(8, len(execution_plan))
+                ordered_results: list[dict[str, Any] | None] = [None] * len(
+                    execution_plan
+                )
+                with ThreadPoolExecutor(max_workers=max_workers) as pool:
+                    futures = {
+                        pool.submit(
+                            self._execute_single_native_tool_call,
+                            call_id=call_id,
+                            func_name=func_name,
+                            func_args=func_args,
+                            available_functions=available_functions,
+                            original_tool=original_tool,
+                            should_execute=True,
+                        ): idx
+                        for idx, (
+                            call_id,
+                            func_name,
+                            func_args,
+                            original_tool,
+                        ) in enumerate(execution_plan)
+                    }
+                    for future in as_completed(futures):
+                        idx = futures[future]
+                        ordered_results[idx] = future.result()
+
+                for execution_result in ordered_results:
+                    if not execution_result:
+                        continue
+                    tool_finish = self._append_tool_result_and_check_finality(
+                        execution_result
+                    )
+                    if tool_finish:
+                        return tool_finish
+
+                reasoning_prompt = self._i18n.slice("post_tool_reasoning")
+                reasoning_message: LLMMessage = {
+                    "role": "user",
+                    "content": reasoning_prompt,
+                }
+                self.messages.append(reasoning_message)
+                return None
+
+        # Sequential behavior: process only first tool call, then force reflection.
+        call_id, func_name, func_args = parsed_calls[0]
+        self._append_assistant_tool_calls_message([(call_id, func_name, func_args)])
+
+        execution_result = self._execute_single_native_tool_call(
+            call_id=call_id,
+            func_name=func_name,
+            func_args=func_args,
+            available_functions=available_functions,
+            original_tool=original_tools_by_name.get(func_name),
+            should_execute=True,
+        )
+        tool_finish = self._append_tool_result_and_check_finality(execution_result)
+        if tool_finish:
+            return tool_finish
+
+        reasoning_prompt = self._i18n.slice("post_tool_reasoning")
+        reasoning_message = {
+            "role": "user",
+            "content": reasoning_prompt,
+        }
+        self.messages.append(reasoning_message)
+        return None
+
+    def _parse_native_tool_call(
+        self, tool_call: Any
+    ) -> tuple[str, str, str | dict[str, Any]] | None:
         if hasattr(tool_call, "function"):
-            # OpenAI-style: has .function.name and .function.arguments
             call_id = getattr(tool_call, "id", f"call_{id(tool_call)}")
             func_name = sanitize_tool_name(tool_call.function.name)
-            func_args = tool_call.function.arguments
-        elif hasattr(tool_call, "function_call") and tool_call.function_call:
-            # Gemini-style: has .function_call.name and .function_call.args
+            return call_id, func_name, tool_call.function.arguments
+        if hasattr(tool_call, "function_call") and tool_call.function_call:
             call_id = f"call_{id(tool_call)}"
             func_name = sanitize_tool_name(tool_call.function_call.name)
             func_args = (
@@ -703,13 +831,12 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                 if tool_call.function_call.args
                 else {}
             )
-        elif hasattr(tool_call, "name") and hasattr(tool_call, "input"):
-            # Anthropic format: has .name and .input (ToolUseBlock)
+            return call_id, func_name, func_args
+        if hasattr(tool_call, "name") and hasattr(tool_call, "input"):
             call_id = getattr(tool_call, "id", f"call_{id(tool_call)}")
             func_name = sanitize_tool_name(tool_call.name)
-            func_args = tool_call.input  # Already a dict in Anthropic
-        elif isinstance(tool_call, dict):
-            # Support OpenAI "id", Bedrock "toolUseId", or generate one
+            return call_id, func_name, tool_call.input
+        if isinstance(tool_call, dict):
             call_id = (
                 tool_call.get("id")
                 or tool_call.get("toolUseId")
@@ -720,10 +847,15 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                 func_info.get("name", "") or tool_call.get("name", "")
             )
             func_args = func_info.get("arguments", "{}") or tool_call.get("input", {})
-        else:
-            return None
+            return call_id, func_name, func_args
+        return None
+
+    def _append_assistant_tool_calls_message(
+        self,
+        parsed_calls: list[tuple[str, str, str | dict[str, Any]]],
+    ) -> None:
+        import json
 
-        # Append assistant message with single tool call
         assistant_message: LLMMessage = {
             "role": "assistant",
             "content": None,
@@ -738,12 +870,30 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         else json.dumps(func_args),
                     },
                 }
+                for call_id, func_name, func_args in parsed_calls
             ],
         }
-
         self.messages.append(assistant_message)
 
-        # Parse arguments for the single tool call
+    def _execute_single_native_tool_call(
+        self,
+        *,
+        call_id: str,
+        func_name: str,
+        func_args: str | dict[str, Any],
+        available_functions: dict[str, Callable[..., Any]],
+        original_tool: Any | None = None,
+        should_execute: bool = True,
+    ) -> dict[str, Any]:
+        from datetime import datetime
+        import json
+
+        from crewai.events.types.tool_usage_events import (
+            ToolUsageErrorEvent,
+            ToolUsageFinishedEvent,
+            ToolUsageStartedEvent,
+        )
+
         if isinstance(func_args, str):
             try:
                 args_dict = json.loads(func_args)
@@ -752,28 +902,26 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         else:
             args_dict = func_args
 
-        agent_key = getattr(self.agent, "key", "unknown") if self.agent else "unknown"
+        if original_tool is None:
+            for tool in self.original_tools or []:
+                if sanitize_tool_name(tool.name) == func_name:
+                    original_tool = tool
+                    break
 
-        # Find original tool by matching sanitized name (needed for cache_function and result_as_answer)
-
-        original_tool = None
-        for tool in self.original_tools or []:
-            if sanitize_tool_name(tool.name) == func_name:
-                original_tool = tool
-                break
-
-        # Check if tool has reached max usage count
         max_usage_reached = False
-        if original_tool:
-            if (
-                hasattr(original_tool, "max_usage_count")
-                and original_tool.max_usage_count is not None
-                and original_tool.current_usage_count >= original_tool.max_usage_count
-            ):
-                max_usage_reached = True
+        if not should_execute and original_tool:
+            max_usage_reached = True
+        elif (
+            should_execute
+            and original_tool
+            and (max_count := getattr(original_tool, "max_usage_count", None))
+            is not None
+            and getattr(original_tool, "current_usage_count", 0) >= max_count
+        ):
+            max_usage_reached = True
 
-        # Check cache before executing
         from_cache = False
+        result: str = "Tool not found"
         input_str = json.dumps(args_dict) if args_dict else ""
         if self.tools_handler and self.tools_handler.cache:
             cached_result = self.tools_handler.cache.read(
@@ -787,7 +935,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                 )
                 from_cache = True
 
-        # Emit tool usage started event
+        agent_key = getattr(self.agent, "key", "unknown") if self.agent else "unknown"
         started_at = datetime.now()
         crewai_event_bus.emit(
             self,
@@ -799,17 +947,16 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                 agent_key=agent_key,
             ),
         )
+        error_event_emitted = False
 
         track_delegation_if_needed(func_name, args_dict, self.task)
 
-        # Find the structured tool for hook context
         structured_tool: CrewStructuredTool | None = None
         for structured in self.tools or []:
             if sanitize_tool_name(structured.name) == func_name:
                 structured_tool = structured
                 break
 
-        # Execute before_tool_call hooks
         hook_blocked = False
         before_hook_context = ToolCallHookContext(
             tool_name=func_name,
@@ -833,57 +980,48 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     color="red",
                 )
 
-        # If hook blocked execution, set result and skip tool execution
         if hook_blocked:
             result = f"Tool execution blocked by hook. Tool: {func_name}"
-        # Execute the tool (only if not cached, not at max usage, and not blocked by hook)
-        elif not from_cache and not max_usage_reached:
-            result = "Tool not found"
-            if func_name in available_functions:
-                try:
-                    tool_func = available_functions[func_name]
-                    raw_result = tool_func(**args_dict)
-
-                    # Add to cache after successful execution (before string conversion)
-                    if self.tools_handler and self.tools_handler.cache:
-                        should_cache = True
-                        if (
-                            original_tool
-                            and hasattr(original_tool, "cache_function")
-                            and callable(original_tool.cache_function)
-                        ):
-                            should_cache = original_tool.cache_function(
-                                args_dict, raw_result
-                            )
-                        if should_cache:
-                            self.tools_handler.cache.add(
-                                tool=func_name, input=input_str, output=raw_result
-                            )
-
-                    # Convert to string for message
-                    result = (
-                        str(raw_result)
-                        if not isinstance(raw_result, str)
-                        else raw_result
-                    )
-                except Exception as e:
-                    result = f"Error executing tool: {e}"
-                    if self.task:
-                        self.task.increment_tools_errors()
-                    crewai_event_bus.emit(
-                        self,
-                        event=ToolUsageErrorEvent(
-                            tool_name=func_name,
-                            tool_args=args_dict,
-                            from_agent=self.agent,
-                            from_task=self.task,
-                            agent_key=agent_key,
-                            error=e,
-                        ),
-                    )
         elif max_usage_reached and original_tool:
-            # Return error message when max usage limit is reached
             result = f"Tool '{func_name}' has reached its usage limit of {original_tool.max_usage_count} times and cannot be used anymore."
+        elif not from_cache and func_name in available_functions:
+            try:
+                raw_result = available_functions[func_name](**args_dict)
+
+                if self.tools_handler and self.tools_handler.cache:
+                    should_cache = True
+                    if (
+                        original_tool
+                        and hasattr(original_tool, "cache_function")
+                        and callable(original_tool.cache_function)
+                    ):
+                        should_cache = original_tool.cache_function(
+                            args_dict, raw_result
+                        )
+                    if should_cache:
+                        self.tools_handler.cache.add(
+                            tool=func_name, input=input_str, output=raw_result
+                        )
+
+                result = (
+                    str(raw_result) if not isinstance(raw_result, str) else raw_result
+                )
+            except Exception as e:
+                result = f"Error executing tool: {e}"
+                if self.task:
+                    self.task.increment_tools_errors()
+                crewai_event_bus.emit(
+                    self,
+                    event=ToolUsageErrorEvent(
+                        tool_name=func_name,
+                        tool_args=args_dict,
+                        from_agent=self.agent,
+                        from_task=self.task,
+                        agent_key=agent_key,
+                        error=e,
+                    ),
+                )
+                error_event_emitted = True
 
         after_hook_context = ToolCallHookContext(
             tool_name=func_name,
@@ -908,22 +1046,38 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     color="red",
                 )
 
-        # Emit tool usage finished event
-        crewai_event_bus.emit(
-            self,
-            event=ToolUsageFinishedEvent(
-                output=result,
-                tool_name=func_name,
-                tool_args=args_dict,
-                from_agent=self.agent,
-                from_task=self.task,
-                agent_key=agent_key,
-                started_at=started_at,
-                finished_at=datetime.now(),
-            ),
-        )
+        if not error_event_emitted:
+            crewai_event_bus.emit(
+                self,
+                event=ToolUsageFinishedEvent(
+                    output=result,
+                    tool_name=func_name,
+                    tool_args=args_dict,
+                    from_agent=self.agent,
+                    from_task=self.task,
+                    agent_key=agent_key,
+                    started_at=started_at,
+                    finished_at=datetime.now(),
+                ),
+            )
+
+        return {
+            "call_id": call_id,
+            "func_name": func_name,
+            "result": result,
+            "from_cache": from_cache,
+            "original_tool": original_tool,
+        }
+
+    def _append_tool_result_and_check_finality(
+        self, execution_result: dict[str, Any]
+    ) -> AgentFinish | None:
+        call_id = cast(str, execution_result["call_id"])
+        func_name = cast(str, execution_result["func_name"])
+        result = cast(str, execution_result["result"])
+        from_cache = cast(bool, execution_result["from_cache"])
+        original_tool = execution_result["original_tool"]
 
-        # Append tool result message
         tool_message: LLMMessage = {
             "role": "tool",
             "tool_call_id": call_id,
@@ -932,7 +1086,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         }
         self.messages.append(tool_message)
 
-        # Log the tool execution
         if self.agent and self.agent.verbose:
             cache_info = " (from cache)" if from_cache else ""
             self._printer.print(
@@ -945,20 +1098,11 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             and hasattr(original_tool, "result_as_answer")
             and original_tool.result_as_answer
         ):
-            # Return immediately with tool result as final answer
             return AgentFinish(
                 thought="Tool result is the final answer",
                 output=result,
                 text=result,
             )
-
-        # Inject post-tool reasoning prompt to enforce analysis
-        reasoning_prompt = self._i18n.slice("post_tool_reasoning")
-        reasoning_message: LLMMessage = {
-            "role": "user",
-            "content": reasoning_prompt,
-        }
-        self.messages.append(reasoning_message)
         return None
 
     async def ainvoke(self, inputs: dict[str, Any]) -> dict[str, Any]:
@@ -970,18 +1114,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         Returns:
             Dictionary with agent output.
         """
-        if "system" in self.prompt:
-            system_prompt = self._format_prompt(
-                cast(str, self.prompt.get("system", "")), inputs
-            )
-            user_prompt = self._format_prompt(
-                cast(str, self.prompt.get("user", "")), inputs
-            )
-            self.messages.append(format_message_for_llm(system_prompt, role="system"))
-            self.messages.append(format_message_for_llm(user_prompt))
-        else:
-            user_prompt = self._format_prompt(self.prompt.get("prompt", ""), inputs)
-            self.messages.append(format_message_for_llm(user_prompt))
+        self._setup_messages(inputs)
 
         await self._ainject_multimodal_files(inputs)
 
@@ -1003,11 +1136,9 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             raise
 
         if self.ask_for_human_input:
-            formatted_answer = self._handle_human_feedback(formatted_answer)
+            formatted_answer = await self._ahandle_human_feedback(formatted_answer)
 
-        self._create_short_term_memory(formatted_answer)
-        self._create_long_term_memory(formatted_answer)
-        self._create_external_memory(formatted_answer)
+        self._save_to_memory(formatted_answer)
         return {"output": formatted_answer.output}
 
     async def _ainvoke_loop(self) -> AgentFinish:
@@ -1369,7 +1500,9 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             formatted_answer: Current agent response.
         """
         if self.step_callback:
-            self.step_callback(formatted_answer)
+            cb_result = self.step_callback(formatted_answer)
+            if inspect.iscoroutine(cb_result):
+                asyncio.run(cb_result)
 
     def _append_message(
         self, text: str, role: Literal["user", "assistant", "system"] = "assistant"
@@ -1491,7 +1624,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         return prompt.replace("{tools}", inputs["tools"])
 
     def _handle_human_feedback(self, formatted_answer: AgentFinish) -> AgentFinish:
-        """Process human feedback.
+        """Process human feedback via the configured provider.
 
         Args:
             formatted_answer: Initial agent result.
@@ -1499,17 +1632,22 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         Returns:
             Final answer after feedback.
         """
-        output_str = (
-            formatted_answer.output
-            if isinstance(formatted_answer.output, str)
-            else formatted_answer.output.model_dump_json()
-        )
-        human_feedback = self._ask_human_input(output_str)
+        provider = get_provider()
+        return provider.handle_feedback(formatted_answer, self)
 
-        if self._is_training_mode():
-            return self._handle_training_feedback(formatted_answer, human_feedback)
+    async def _ahandle_human_feedback(
+        self, formatted_answer: AgentFinish
+    ) -> AgentFinish:
+        """Process human feedback asynchronously via the configured provider.
 
-        return self._handle_regular_feedback(formatted_answer, human_feedback)
+        Args:
+            formatted_answer: Initial agent result.
+
+        Returns:
+            Final answer after feedback.
+        """
+        provider = get_provider()
+        return await provider.handle_feedback_async(formatted_answer, self)
 
     def _is_training_mode(self) -> bool:
         """Check if training mode is active.
@@ -1519,74 +1657,18 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         """
         return bool(self.crew and self.crew._train)
 
-    def _handle_training_feedback(
-        self, initial_answer: AgentFinish, feedback: str
-    ) -> AgentFinish:
-        """Process training feedback.
+    def _format_feedback_message(self, feedback: str) -> LLMMessage:
+        """Format feedback as a message for the LLM.
 
         Args:
-            initial_answer: Initial agent output.
-            feedback: Training feedback.
+            feedback: User feedback string.
 
         Returns:
-            Improved answer.
+            Formatted message dict.
         """
-        self._handle_crew_training_output(initial_answer, feedback)
-        self.messages.append(
-            format_message_for_llm(
-                self._i18n.slice("feedback_instructions").format(feedback=feedback)
-            )
+        return format_message_for_llm(
+            self._i18n.slice("feedback_instructions").format(feedback=feedback)
         )
-        improved_answer = self._invoke_loop()
-        self._handle_crew_training_output(improved_answer)
-        self.ask_for_human_input = False
-        return improved_answer
-
-    def _handle_regular_feedback(
-        self, current_answer: AgentFinish, initial_feedback: str
-    ) -> AgentFinish:
-        """Process regular feedback iteratively.
-
-        Args:
-            current_answer: Current agent output.
-            initial_feedback: Initial user feedback.
-
-        Returns:
-            Final answer after iterations.
-        """
-        feedback = initial_feedback
-        answer = current_answer
-
-        while self.ask_for_human_input:
-            # If the user provides a blank response, assume they are happy with the result
-            if feedback.strip() == "":
-                self.ask_for_human_input = False
-            else:
-                answer = self._process_feedback_iteration(feedback)
-                output_str = (
-                    answer.output
-                    if isinstance(answer.output, str)
-                    else answer.output.model_dump_json()
-                )
-                feedback = self._ask_human_input(output_str)
-
-        return answer
-
-    def _process_feedback_iteration(self, feedback: str) -> AgentFinish:
-        """Process single feedback iteration.
-
-        Args:
-            feedback: User feedback.
-
-        Returns:
-            Updated agent response.
-        """
-        self.messages.append(
-            format_message_for_llm(
-                self._i18n.slice("feedback_instructions").format(feedback=feedback)
-            )
-        )
-        return self._invoke_loop()
 
     @classmethod
     def __get_pydantic_core_schema__(

lib/crewai/src/crewai/cli/authentication/main.py

@@ -2,8 +2,8 @@ import time
 from typing import TYPE_CHECKING, Any, TypeVar, cast
 import webbrowser
 
+import httpx
 from pydantic import BaseModel, Field
-import requests
 from rich.console import Console
 
 from crewai.cli.authentication.utils import validate_jwt_token
@@ -98,7 +98,7 @@ class AuthenticationCommand:
             "scope": " ".join(self.oauth2_provider.get_oauth_scopes()),
             "audience": self.oauth2_provider.get_audience(),
         }
-        response = requests.post(
+        response = httpx.post(
             url=self.oauth2_provider.get_authorize_url(),
             data=device_code_payload,
             timeout=20,
@@ -130,7 +130,7 @@ class AuthenticationCommand:
 
         attempts = 0
         while True and attempts < 10:
-            response = requests.post(
+            response = httpx.post(
                 self.oauth2_provider.get_token_url(), data=token_payload, timeout=30
             )
             token_data = response.json()
@@ -149,7 +149,7 @@ class AuthenticationCommand:
                 return
 
             if token_data["error"] not in ("authorization_pending", "slow_down"):
-                raise requests.HTTPError(
+                raise httpx.HTTPError(
                     token_data.get("error_description") or token_data.get("error")
                 )