chore: set crewai-a2a package description

fix: scope a2a alias finder to submodules only
The shim's MetaPathFinder matched the crewai.a2a root, so importlib.reload(crewai.a2a) would swap the shim module for crewai_a2a and drop the shim's __all__ re-exports.
2026-07-09 08:55:09 +00:00 · 2026-04-29 01:26:25 +08:00 · 2026-04-29 01:23:52 +08:00 · 2026-04-29 01:17:09 +08:00 · 2026-04-29 00:49:15 +08:00 · 2026-04-14 22:21:31 +08:00
170 changed files with 841 additions and 7061 deletions
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -19,7 +19,7 @@ repos:
        language: system
        pass_filenames: true
        types: [python]
-        exclude: ^(lib/crewai/src/crewai/cli/templates/|lib/crewai/tests/|lib/crewai-tools/tests/|lib/crewai-files/tests/)
+        exclude: ^(lib/crewai/src/crewai/cli/templates/|lib/crewai/tests/|lib/crewai-tools/tests/|lib/crewai-files/tests/|lib/crewai-a2a/tests/)
  - repo: https://github.com/astral-sh/uv-pre-commit
    rev: 0.11.3
    hooks:
--- a/docs/ar/changelog.mdx
+++ b/docs/ar/changelog.mdx
@@ -4,101 +4,6 @@ description: "تحديثات المنتج والتحسينات وإصلاحات
 icon: "clock"
 mode: "wide"
 ---
-<Update label="1 مايو 2026">
-  ## v1.14.5a1
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a1)
-
-  ## ما الذي تغير
-
-  ### الميزات
-  - إضافة معلمة بدء `restore_from_state_id`
-  - إضافة تسليط الضوء على ExaSearchTool وإعادة تسميته من EXASearchTool
-
-  ### إصلاحات الأخطاء
-  - إصلاح المواقع المفقودة لـ crewai في تدفق الإصدار
-  - ضمان تحميل أحداث المهارات للآثار
-
-  ### الوثائق
-  - تحديث سجل التغييرات والإصدار لـ v1.14.4
-
-  ## المساهمون
-
-  @akaKuruma, @github-actions[bot], @greysonlalonde, @lorenzejay, @theishangoswami
-
-</Update>
-
-<Update label="1 مايو 2026">
-  ## v1.14.4
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.4)
-
-  ## ما الذي تغير
-
-  ### الميزات
-  - إضافة دعم لمفتاح الاستمرارية المخصص في @persist
-  - إضافة دعم واجهة برمجة التطبيقات للردود لمزود Azure OpenAI
-  - تمرير credential_scopes إلى عميل Azure AI Inference
-  - إضافة دليل إعداد هوية عبء العمل لـ Vertex AI
-  - إضافة Tavily Research والحصول على Research
-  - إضافة أدوات MCP من You.com للبحث، البحث، واستخراج المحتوى
-
-  ### إصلاحات الأخطاء
-  - إصلاح مشكلة السقوط عند عدم تطابق تعبير JSON regex مع JSON صالح
-  - إصلاح للحفاظ على tool_calls عندما تحتوي الاستجابة أيضًا على نص
-  - إصلاح لتمرير base_url و api_key إلى instructor.from_provider
-  - إصلاح لتحذير وإرجاع فارغ عندما لا يُرجع خادم MCP الأصلي أي أدوات
-  - إصلاح لاستخدام متغير الرسائل الموثقة في معالجات غير البث
-  - إصلاح لحماية مساعدي وصف دردشة الطاقم ضد فشل LLM
-  - إصلاح لإعادة تعيين الرسائل والتكرارات بين الاستدعاءات
-  - إصلاح لتمرير ملف trained-agents من خلال replay و test
-  - إصلاح لاحترام ملف trained-agents المخصص في الاستدلال
-  - إصلاح لربط الوكلاء المخصصين بالمهام فقط بالطاقم لملفات الإدخال متعددة الأنماط
-  - إصلاح لتسلسل callable الحواجز كـ null لتسجيل JSON
-  - إصلاح إعادة تسمية force_final_answer لتجنب توجيه ذاتي
-  - إصلاح زيادة litellm لإصلاح SSTI؛ تجاهل CVE غير القابل للإصلاح في pip
-
-  ### الوثائق
-  - تحديث سجل التغييرات والإصدار لـ v1.14.4a1
-  - إضافة صفحة أدوات E2B Sandbox
-  - إضافة وثائق أدوات صندوق Daytona
-
-  ## المساهمون
-
-  @EdwardIrby, @dependabot[bot], @factory-droid-oss, @factory-droid[bot], @greysonlalonde, @kunalk16, @lorenzejay, @lucasgomide, @manisrinivasan2k1, @mattatcha, @vinibrsl
-
-</Update>
-
-<Update label="29 أبريل 2026">
-  ## v1.14.4a1
-
-  [عرض الإصدار على GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.4a1)
-
-  ## ما الذي تغير
-
-  ### إصلاحات الأخطاء
-  - إصلاح مساعدي وصف دردشة الطاقم ضد فشل LLM.
-  - إعادة تعيين الرسائل والتكرارات بين الاستدعاءات في المنفذ.
-  - تمرير ملف الوكلاء المدربين عبر إعادة التشغيل والاختبار في CLI.
-  - احترام ملف الوكلاء المدربين المخصص أثناء الاستدلال في الوكيل.
-  - ربط الوكلاء المخصصين بالمهام فقط بالطاقم لضمان وصول ملفات الإدخال متعددة الوسائط إلى LLM.
-  - تسلسل استدعاءات الحواجز كـ null لتسجيل النقاط في JSON.
-  - إعادة تسمية `force_final_answer` في agent_executor لتجنب جهاز التوجيه الذاتي الإشارة.
-  - تحديث `litellm` لإصلاح SSTI وتجاهل CVE pip غير القابل للإصلاح.
-
-  ### الوثائق
-  - إضافة صفحة أدوات Sandbox E2B.
-  - إضافة وثائق أدوات Sandbox Daytona.
-  - إضافة دليل إعداد هوية عبء العمل لـ Vertex AI.
-  - إضافة أدوات MCP من You.com للبحث، البحث، واستخراج المحتوى.
-  - تحديث سجل التغييرات والإصدار لـ v1.14.3.
-
-  ## المساهمون
-
-  @EdwardIrby, @dependabot[bot], @factory-droid-oss, @factory-droid[bot], @greysonlalonde, @lorenzejay, @manisrinivasan2k1, @mattatcha
-
-</Update>
-
 <Update label="25 أبريل 2026">
  ## v1.14.3

--- a/docs/ar/concepts/flows.mdx
+++ b/docs/ar/concepts/flows.mdx
@@ -380,42 +380,6 @@ class AnotherFlow(Flow[dict]):
        print("Method-level persisted runs:", self.state["runs"])
 ```

-### تفرع الحالة المستمرة
-
-يدعم `@persist` نمطين متميزين للترطيب في `kickoff` / `kickoff_async`:
-
- `kickoff(inputs={"id": <uuid>})` — **استئناف**: يحمّل أحدث لقطة لـ UUID المقدم ويستمر في الكتابة تحت نفس `flow_uuid`. يمتد التاريخ.
- `kickoff(restore_from_state_id=<uuid>)` — **تفرع**: يحمّل أحدث لقطة لـ UUID المقدم، يرطّب حالة التشغيل الجديد منها، ثم يعيّن `state.id` جديدًا (مولّدًا تلقائيًا، أو `inputs["id"]` إذا تم تثبيته). تذهب كتابات `@persist` للتشغيل الجديد تحت `state.id` الجديد؛ يتم الحفاظ على تاريخ تدفق المصدر.
-
-```python
-from crewai.flow.flow import Flow, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    id: str = ""
-    counter: int = 0
-
-@persist
-class CounterFlow(Flow[CounterState]):
-    @start()
-    def step(self):
-        self.state.counter += 1
-        print(f"[id={self.state.id}] counter={self.state.counter}")
-
-# التشغيل 1: حالة جديدة، العداد 0 -> 1، محفوظ تحت flow_1.state.id
-flow_1 = CounterFlow()
-flow_1.kickoff()
-
-# التفرع: ترطيب من أحدث لقطة لـ flow_1، لكن باستخدام state.id جديد
-flow_2 = CounterFlow()
-flow_2.kickoff(restore_from_state_id=flow_1.state.id)
-# يبدأ flow_2.state.counter بـ 1 (مرطّب)، ثم تزيده step() إلى 2.
-# flow_2.state.id != flow_1.state.id؛ تاريخ flow_1 لم يتغيّر.
-```
-
-إذا لم يطابق `restore_from_state_id` المقدم أي حالة مستمرة، يعود kickoff بصمت إلى السلوك الافتراضي — نفس سلوك `inputs["id"]` عند عدم العثور عليه. الجمع بين `restore_from_state_id` و `from_checkpoint` يطلق `ValueError`؛ اختر مصدر ترطيب واحدًا. تثبيت `inputs["id"]` أثناء التفرع يشارك مفتاح الاستمرارية مع تدفق آخر — عادةً ما تريد استخدام `restore_from_state_id` فقط.
-
 ### كيف تعمل

 1. **تعريف الحالة الفريد**
--- a/docs/ar/concepts/production-architecture.mdx
+++ b/docs/ar/concepts/production-architecture.mdx
@@ -146,14 +146,6 @@ class ProductionFlow(Flow[AppState]):
    # ...
 ```

-افتراضيًا، يستأنف `@persist` تدفقًا عند توفير `kickoff(inputs={"id": <uuid>})`، مما يمدّ نفس تاريخ `flow_uuid`. لـ **تفرع** تدفق مستمر إلى نسبٍ جديد — ترطيب الحالة من تشغيل سابق ولكن الكتابة تحت `state.id` جديد — مرّر `restore_from_state_id`:
-
-```python
-flow.kickoff(restore_from_state_id="<previous-run-state-id>")
-```
-
-يحصل التشغيل الجديد على `state.id` جديد (مولّد تلقائيًا، أو `inputs["id"]` إذا تم تثبيته) لذا لا تمتد كتابات `@persist` الخاصة به إلى تاريخ المصدر. الجمع مع `from_checkpoint` يطلق `ValueError`؛ اختر مصدر ترطيب واحدًا.
-
 ## الخلاصة

 - **ابدأ بتدفق.**
--- a/docs/ar/concepts/tools.mdx
+++ b/docs/ar/concepts/tools.mdx
@@ -133,7 +133,7 @@ crew.kickoff()
 | **DirectorySearchTool**          | أداة RAG للبحث في المجلدات، مفيدة للتنقل في أنظمة الملفات.       |
 | **DOCXSearchTool**               | أداة RAG للبحث في مستندات DOCX، مثالية لمعالجة ملفات Word.          |
 | **DirectoryReadTool**            | تسهّل قراءة ومعالجة هياكل المجلدات ومحتوياتها.                 |
-| **ExaSearchTool**                | أداة مصممة لإجراء عمليات بحث شاملة عبر مصادر بيانات متنوعة.                |
+| **EXASearchTool**                | أداة مصممة لإجراء عمليات بحث شاملة عبر مصادر بيانات متنوعة.                |
 | **FileReadTool**                 | تُمكّن قراءة واستخراج البيانات من الملفات، مع دعم تنسيقات ملفات متنوعة.               |
 | **FirecrawlSearchTool**          | أداة للبحث في صفحات الويب باستخدام Firecrawl وإرجاع النتائج.                              |
 | **FirecrawlCrawlWebsiteTool**    | أداة لزحف صفحات الويب باستخدام Firecrawl.                                                  |
--- a/docs/ar/guides/flows/mastering-flow-state.mdx
+++ b/docs/ar/guides/flows/mastering-flow-state.mdx
@@ -116,48 +116,6 @@ class PersistentCounterFlow(Flow[CounterState]):
        return self.state.value
 ```

-#### تفرع الحالة المستمرة
-
-يدعم `@persist` نمطين متميزين للترطيب في `kickoff` / `kickoff_async`. استخدم **استئناف** (`inputs["id"]`) لمواصلة نفس النسب؛ استخدم **تفرع** (`restore_from_state_id`) لبدء نسبٍ جديد من لقطة:
-
-| | `state.id` بعد kickoff | كتابات `@persist` تذهب إلى |
-|---|---|---|
-| `inputs["id"]` (استئناف) | المعرّف المقدم | المعرّف المقدم (يمد التاريخ) |
-| `restore_from_state_id` (تفرع) | معرّف جديد، أو `inputs["id"]` إذا ثُبّت | المعرّف الجديد (المصدر محفوظ) |
-
-```python
-from crewai.flow.flow import Flow, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    id: str = ""
-    counter: int = 0
-
-@persist
-class CounterFlow(Flow[CounterState]):
-    @start()
-    def step(self):
-        self.state.counter += 1
-
-# التشغيل 1: حالة جديدة، العداد 0 -> 1
-flow_1 = CounterFlow()
-flow_1.kickoff()
-
-# التفرع: الترطيب من أحدث لقطة لـ flow_1، لكن الكتابة تحت state.id جديد
-flow_2 = CounterFlow()
-flow_2.kickoff(restore_from_state_id=flow_1.state.id)
-# يبدأ flow_2 بـ counter=1 (مرطّب)، ثم تزيده step() إلى 2.
-# تاريخ flow_uuid لـ flow_1 لم يتغيّر.
-```
-
-ملاحظات السلوك:
-
- `restore_from_state_id` غير موجود في الاستمرارية → يعود kickoff بصمت إلى السلوك الافتراضي (يعكس سلوك `inputs["id"]` عند عدم العثور عليه). لا يُطلق أي استثناء.
- الجمع بين `restore_from_state_id` و `from_checkpoint` يطلق `ValueError` — يستهدفان نظامي حالة مختلفين (`@persist` مقابل Checkpointing) ولا يمكن الجمع بينهما.
- `restore_from_state_id=None` (افتراضي) متطابق بايت ببايت مع kickoff بدون المعامل.
- تثبيت `inputs["id"]` أثناء التفرع يعني أن التشغيل الجديد يشارك مفتاح الاستمرارية مع تدفق آخر — عادةً ما تريد فقط `restore_from_state_id`.
-
 ## أنماط حالة متقدمة

 ### المنطق الشرطي المبني على الحالة
--- a/docs/ar/tools/ai-ml/daytona.mdx
+++ b/docs/ar/tools/ai-ml/daytona.mdx
@@ -1,180 +0,0 @@
---
-title: Daytona Sandbox Tools
-description: Run shell commands, execute Python, and manage files inside isolated [Daytona](https://www.daytona.io/) sandboxes.
-icon: box
-mode: "wide"
---
-
-# Daytona Sandbox Tools
-
-## Description
-
-The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compute environments powered by [Daytona](https://www.daytona.io/). Three tools are available so you can give an agent exactly the capabilities it needs:
-
- **`DaytonaExecTool`** — run any shell command inside a sandbox.
- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
-
-All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
-
-## Installation
-
-```shell
-uv add "crewai-tools[daytona]"
-# or
-pip install "crewai-tools[daytona]"
-```
-
-Set your API key:
-
-```shell
-export DAYTONA_API_KEY="your-api-key"
-```
-
-`DAYTONA_API_URL` and `DAYTONA_TARGET` are also respected if set.
-
-## Sandbox Lifecycle
-
-All three tools inherit lifecycle controls from `DaytonaBaseTool`:
-
-| Mode | How to enable | Sandbox created | Sandbox deleted |
-|------|--------------|-----------------|-----------------|
-| **Ephemeral** (default) | `persistent=False` (default) | On every `_run` call | At the end of that same call |
-| **Persistent** | `persistent=True` | Lazily on first use | At process exit (via `atexit`), or manually via `tool.close()` |
-| **Attach** | `sandbox_id="<id>"` | Never — attaches to an existing sandbox | Never — the tool will not delete a sandbox it did not create |
-
-Ephemeral mode is the safe default: nothing leaks if the agent forgets to clean up. Use persistent mode when you want filesystem state or installed packages to carry across multiple tool calls — this is typical when pairing `DaytonaFileTool` with `DaytonaExecTool`.
-
-## Examples
-
-### One-shot Python execution (ephemeral)
-
-```python Code
-from crewai_tools import DaytonaPythonTool
-
-tool = DaytonaPythonTool()
-result = tool.run(code="print(sum(range(10)))")
-print(result)
-# {"exit_code": 0, "result": "45\n", "artifacts": None}
-```
-
-### Multi-step shell session (persistent)
-
-```python Code
-from crewai_tools import DaytonaExecTool, DaytonaFileTool
-
-exec_tool = DaytonaExecTool(persistent=True)
-file_tool = DaytonaFileTool(persistent=True)
-
-# Install a package, then write and run a script — all in the same sandbox
-exec_tool.run(command="pip install httpx -q")
-file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
-exec_tool.run(command="python /workspace/fetch.py")
-```
-
-<Note>
-Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
-</Note>
-
-### Attach to an existing sandbox
-
-```python Code
-from crewai_tools import DaytonaExecTool
-
-tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
-result = tool.run(command="ls /workspace")
-```
-
-### Custom sandbox parameters
-
-Pass Daytona's `CreateSandboxFromSnapshotParams` kwargs via `create_params`:
-
-```python Code
-from crewai_tools import DaytonaExecTool
-
-tool = DaytonaExecTool(
-    persistent=True,
-    create_params={
-        "language": "python",
-        "env_vars": {"MY_FLAG": "1"},
-        "labels": {"owner": "crewai-agent"},
-    },
-)
-```
-
-### Agent integration
-
-```python Code
-from crewai import Agent, Task, Crew
-from crewai_tools import DaytonaExecTool, DaytonaPythonTool, DaytonaFileTool
-
-exec_tool = DaytonaExecTool(persistent=True)
-python_tool = DaytonaPythonTool(persistent=True)
-file_tool = DaytonaFileTool(persistent=True)
-
-coder = Agent(
-    role="Sandbox Engineer",
-    goal="Write and run code in an isolated environment",
-    backstory="An engineer who uses Daytona sandboxes to safely execute code and manage files.",
-    tools=[exec_tool, python_tool, file_tool],
-    verbose=True,
-)
-
-task = Task(
-    description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
-    expected_output="The first 10 Fibonacci numbers printed to stdout.",
-    agent=coder,
-)
-
-crew = Crew(agents=[coder], tasks=[task])
-result = crew.kickoff()
-```
-
-## Parameters
-
-### Shared (`DaytonaBaseTool`)
-
-All three tools accept these parameters at initialization:
-
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `api_key` | `str \| None` | `$DAYTONA_API_KEY` | Daytona API key. Falls back to the `DAYTONA_API_KEY` env var. |
-| `api_url` | `str \| None` | `$DAYTONA_API_URL` | Daytona API URL override. |
-| `target` | `str \| None` | `$DAYTONA_TARGET` | Daytona target region. |
-| `persistent` | `bool` | `False` | Reuse one sandbox across all calls and delete it at process exit. |
-| `sandbox_id` | `str \| None` | `None` | Attach to an existing sandbox by id or name. |
-| `create_params` | `dict \| None` | `None` | Extra kwargs forwarded to `CreateSandboxFromSnapshotParams` (e.g. `language`, `env_vars`, `labels`). |
-| `sandbox_timeout` | `float` | `60.0` | Timeout in seconds for sandbox create/delete operations. |
-
-### `DaytonaExecTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `command` | `str` | ✓ | Shell command to execute. |
-| `cwd` | `str \| None` | | Working directory inside the sandbox. |
-| `env` | `dict[str, str] \| None` | | Extra environment variables for this command. |
-| `timeout` | `int \| None` | | Maximum seconds to wait for the command. |
-
-### `DaytonaPythonTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `code` | `str` | ✓ | Python source code to execute. |
-| `argv` | `list[str] \| None` | | Argument vector forwarded via `CodeRunParams`. |
-| `env` | `dict[str, str] \| None` | | Environment variables forwarded via `CodeRunParams`. |
-| `timeout` | `int \| None` | | Maximum seconds to wait for execution. |
-
-### `DaytonaFileTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
-| `path` | `str` | ✓ | Absolute path inside the sandbox. |
-| `content` | `str \| None` | | Content to write or append. Required for `append`. |
-| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
-| `recursive` | `bool` | | For `delete`: remove directories recursively. |
-| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
-
-<Tip>
-For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
-</Tip>
--- a/docs/ar/tools/search-research/exasearchtool.mdx
+++ b/docs/ar/tools/search-research/exasearchtool.mdx
@@ -1,11 +1,11 @@
 ---
 title: "أداة بحث Exa"
-description: "ابحث في الويب باستخدام Exa Search API للعثور على النتائج الأكثر صلة لأي استعلام، مع خيارات لمحتوى الصفحة الكامل والمقتطفات."
+description: "ابحث في الويب باستخدام Exa Search API للعثور على النتائج الأكثر صلة لأي استعلام، مع خيارات لمحتوى الصفحة الكامل والمقتطفات والملخصات."
 icon: "magnifying-glass"
 mode: "wide"
 ---

-تتيح أداة `ExaSearchTool` لوكلاء CrewAI البحث في الويب باستخدام [Exa](https://exa.ai/) search API. تُرجع النتائج الأكثر صلة لأي استعلام، مع خيارات لمحتوى الصفحة الكامل والمقتطفات الموفرة للرموز.
+تتيح أداة `EXASearchTool` لوكلاء CrewAI البحث في الويب باستخدام [Exa](https://exa.ai/) search API. تُرجع النتائج الأكثر صلة لأي استعلام، مع خيارات لمحتوى الصفحة الكامل والملخصات المولّدة بالذكاء الاصطناعي.

 ## التثبيت

@@ -27,15 +27,15 @@ export EXA_API_KEY='your_exa_api_key'

 ## مثال على الاستخدام

-إليك كيفية استخدام `ExaSearchTool` مع وكيل CrewAI:
+إليك كيفية استخدام `EXASearchTool` مع وكيل CrewAI:

 ```python
 import os
 from crewai import Agent, Task, Crew
-from crewai_tools import ExaSearchTool
+from crewai_tools import EXASearchTool

 # Initialize the tool
-exa_tool = ExaSearchTool()
+exa_tool = EXASearchTool()

 # Create an agent that uses the tool
 researcher = Agent(
@@ -66,11 +66,11 @@ print(result)

 ## خيارات التكوين

-تقبل أداة `ExaSearchTool` المعاملات التالية أثناء التهيئة:
+تقبل أداة `EXASearchTool` المعاملات التالية أثناء التهيئة:

 - `type` (str، اختياري): نوع البحث المستخدم. الافتراضي هو `"auto"`. الخيارات: `"auto"`، `"instant"`، `"fast"`، `"deep"`.
- `highlights` (bool أو dict، اختياري): إرجاع مقتطفات موفرة للرموز أكثر صلة بالاستعلام بدلاً من الصفحة الكاملة. الافتراضي هو `True`. مرر قاموسًا مثل `{"max_characters": 4000}` للتكوين، أو `False` للتعطيل.
 - `content` (bool، اختياري): ما إذا كان يجب تضمين محتوى الصفحة الكامل في النتائج. الافتراضي هو `False`.
+- `summary` (bool، اختياري): ما إذا كان يجب تضمين ملخصات مولّدة بالذكاء الاصطناعي لكل نتيجة. يتطلب `content=True`. الافتراضي هو `False`.
 - `api_key` (str، اختياري): مفتاح Exa API الخاص بك. يعود إلى متغير البيئة `EXA_API_KEY` إذا لم يتم تقديمه.
 - `base_url` (str، اختياري): عنوان URL مخصص لخادم API. يعود إلى متغير البيئة `EXA_BASE_URL` إذا لم يتم تقديمه.

@@ -86,52 +86,25 @@ print(result)
 يمكنك تكوين الأداة بمعاملات مخصصة للحصول على نتائج أغنى:

 ```python
-# Use 'deep' for thorough, multi-step searches
-exa_tool = ExaSearchTool(
-    highlights=True,
+# Get full page content with AI summaries
+exa_tool = EXASearchTool(
+    content=True,
+    summary=True,
    type="deep"
 )

 # Use it in an agent
 agent = Agent(
    role="Deep Researcher",
-    goal="Conduct thorough research",
+    goal="Conduct thorough research with full content and summaries",
    tools=[exa_tool]
 )
 ```

-## استخدام Exa عبر MCP
-
-يمكنك أيضًا ربط وكيلك بخادم MCP المستضاف من Exa. مرّر مفتاح API الخاص بك عبر ترويسة `x-api-key`:
-
-```python
-from crewai import Agent
-from crewai.mcp import MCPServerHTTP
-
-agent = Agent(
-    role="Research Analyst",
-    goal="Find and analyze information on the web",
-    backstory="Expert researcher with access to Exa's tools",
-    mcps=[
-        MCPServerHTTP(
-            url="https://mcp.exa.ai/mcp",
-            headers={"x-api-key": "YOUR_EXA_API_KEY"},
-        ),
-    ],
-)
-```
-
-احصل على مفتاح API من [لوحة تحكم Exa](https://dashboard.exa.ai/api-keys). لمزيد من المعلومات حول MCP في CrewAI، راجع [نظرة عامة على MCP](/ar/mcp/overview).
-
 ## الميزات

- **مقتطفات موفرة للرموز**: الحصول على المقتطفات الأكثر صلة من كل نتيجة، باستخدام رموز أقل بكثير من النص الكامل
 - **البحث الدلالي**: العثور على نتائج بناءً على المعنى، وليس الكلمات المفتاحية فقط
 - **استرجاع المحتوى الكامل**: الحصول على النص الكامل لصفحات الويب مع نتائج البحث
+- **ملخصات الذكاء الاصطناعي**: الحصول على ملخصات موجزة مولّدة بالذكاء الاصطناعي لكل نتيجة
 - **تصفية التاريخ**: تقييد النتائج لفترات زمنية محددة باستخدام فلاتر تاريخ النشر
- **تصفية النطاقات**: تقييد عمليات البحث على نطاقات محددة
-
-## موارد
-
- [توثيق Exa](https://exa.ai/docs)
- [لوحة تحكم Exa — إدارة مفاتيح API والاستخدام](https://dashboard.exa.ai)
+- **تصفية النطاقات**: تقييد عمليات البحث على نطاقات محددة
--- a/docs/docs.json
+++ b/docs/docs.json
--- a/docs/en/changelog.mdx
+++ b/docs/en/changelog.mdx
@@ -4,101 +4,6 @@ description: "Product updates, improvements, and bug fixes for CrewAI"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="May 01, 2026">
-  ## v1.14.5a1
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a1)
-
-  ## What's Changed
-
-  ### Features
-  - Add `restore_from_state_id` kickoff parameter
-  - Add highlights to ExaSearchTool and rename from EXASearchTool
-
-  ### Bug Fixes
-  - Fix missing crewai pin sites in release flow
-  - Ensure skills loading events for traces
-
-  ### Documentation
-  - Update changelog and version for v1.14.4
-
-  ## Contributors
-
-  @akaKuruma, @github-actions[bot], @greysonlalonde, @lorenzejay, @theishangoswami
-
-</Update>
-
-<Update label="May 01, 2026">
-  ## v1.14.4
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.4)
-
-  ## What's Changed
-
-  ### Features
-  - Add support for custom persistence key in @persist
-  - Add Responses API support for Azure OpenAI provider
-  - Forward credential_scopes to Azure AI Inference client
-  - Add Vertex AI workload identity setup guide
-  - Add Tavily Research and get Research
-  - Add You.com MCP tools for search, research, and content extraction
-
-  ### Bug Fixes
-  - Fix fall through when JSON regex match isn't valid JSON
-  - Fix to preserve tool_calls when response also contains text
-  - Fix to forward base_url and api_key to instructor.from_provider
-  - Fix to warn and return empty when native MCP server returns no tools
-  - Fix to use validated messages variable in non-streaming handlers
-  - Fix to guard crew chat description helpers against LLM failures
-  - Fix to reset messages and iterations between invocations
-  - Fix to forward trained-agents file through replay and test
-  - Fix to honor custom trained-agents file at inference
-  - Fix to bind task-only agents to crew for multimodal input_files
-  - Fix to serialize guardrail callables as null for JSON checkpointing
-  - Fix renaming of force_final_answer to avoid self-referential router
-  - Fix bump of litellm for SSTI fix; ignore unfixable pip CVE
-
-  ### Documentation
-  - Update changelog and version for v1.14.4a1
-  - Add E2B Sandbox Tools page
-  - Add Daytona sandbox tools documentation
-
-  ## Contributors
-
-  @EdwardIrby, @dependabot[bot], @factory-droid-oss, @factory-droid[bot], @greysonlalonde, @kunalk16, @lorenzejay, @lucasgomide, @manisrinivasan2k1, @mattatcha, @vinibrsl
-
-</Update>
-
-<Update label="Apr 29, 2026">
-  ## v1.14.4a1
-
-  [View release on GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.4a1)
-
-  ## What's Changed
-
-  ### Bug Fixes
-  - Fix crew chat description helpers against LLM failures.
-  - Reset messages and iterations between invocations in executor.
-  - Forward trained-agents file through replay and test in CLI.
-  - Honor custom trained-agents file at inference in agent.
-  - Bind task-only agents to crew to ensure multimodal input_files reach the LLM.
-  - Serialize guardrail callables as null for JSON checkpointing.
-  - Rename `force_final_answer` in agent_executor to avoid self-referential router.
-  - Bump `litellm` for SSTI fix and ignore unfixable pip CVE.
-
-  ### Documentation
-  - Add E2B Sandbox Tools page.
-  - Add Daytona sandbox tools documentation.
-  - Add Vertex AI workload identity setup guide.
-  - Add You.com MCP tools for search, research, and content extraction.
-  - Update changelog and version for v1.14.3.
-
-  ## Contributors
-
-  @EdwardIrby, @dependabot[bot], @factory-droid-oss, @factory-droid[bot], @greysonlalonde, @lorenzejay, @manisrinivasan2k1, @mattatcha
-
-</Update>
-
 <Update label="Apr 25, 2026">
  ## v1.14.3

--- a/docs/en/concepts/flows.mdx
+++ b/docs/en/concepts/flows.mdx
@@ -380,42 +380,6 @@ class AnotherFlow(Flow[dict]):
        print("Method-level persisted runs:", self.state["runs"])
 ```

-### Forking Persisted State
-
-`@persist` supports two distinct hydration modes on `kickoff` / `kickoff_async`:
-
- `kickoff(inputs={"id": <uuid>})` — **resume**: load the latest snapshot for the supplied UUID and continue writing under the same `flow_uuid`. The history extends.
- `kickoff(restore_from_state_id=<uuid>)` — **fork**: load the latest snapshot for the supplied UUID, hydrate the new run's state from it, and assign a fresh `state.id` (auto-generated, or `inputs["id"]` if pinned). The new run's `@persist` writes land under the new `state.id`; the source flow's history is preserved.
-
-```python
-from crewai.flow.flow import Flow, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    id: str = ""
-    counter: int = 0
-
-@persist
-class CounterFlow(Flow[CounterState]):
-    @start()
-    def step(self):
-        self.state.counter += 1
-        print(f"[id={self.state.id}] counter={self.state.counter}")
-
-# Run 1: fresh state, counter 0 -> 1, persisted under flow_1.state.id
-flow_1 = CounterFlow()
-flow_1.kickoff()
-
-# Fork: hydrate from flow_1's latest snapshot, but use a NEW state.id
-flow_2 = CounterFlow()
-flow_2.kickoff(restore_from_state_id=flow_1.state.id)
-# flow_2.state.counter starts at 1 (hydrated), then step() bumps it to 2.
-# flow_2.state.id != flow_1.state.id; flow_1's history is unchanged.
-```
-
-If the supplied `restore_from_state_id` does not match any persisted state, the kickoff falls back silently — same as the existing `inputs["id"]` resume not-found behavior. Combining `restore_from_state_id` with `from_checkpoint` raises a `ValueError`; pick one hydration source. Pinning `inputs["id"]` while forking shares a persistence key with another flow — usually you want only `restore_from_state_id`.
-
 ### How It Works

 1. **Unique State Identification**
--- a/docs/en/concepts/production-architecture.mdx
+++ b/docs/en/concepts/production-architecture.mdx
@@ -146,14 +146,6 @@ class ProductionFlow(Flow[AppState]):
    # ...
 ```

-By default, `@persist` resumes a flow when `kickoff(inputs={"id": <uuid>})` is supplied, extending the same `flow_uuid` history. To **fork** a persisted flow into a new lineage — hydrate state from a previous run but write under a fresh `state.id` — pass `restore_from_state_id`:
-
-```python
-flow.kickoff(restore_from_state_id="<previous-run-state-id>")
-```
-
-The new run gets a fresh `state.id` (auto-generated, or `inputs["id"]` if pinned) so its `@persist` writes don't extend the source's history. Combining with `from_checkpoint` raises a `ValueError`; pick one hydration source.
-
 ## Summary

 - **Start with a Flow.**
--- a/docs/en/concepts/tools.mdx
+++ b/docs/en/concepts/tools.mdx
@@ -133,7 +133,7 @@ Here is a list of the available tools and their descriptions:
 | **DirectorySearchTool**          | A RAG tool for searching within directories, useful for navigating through file systems.       |
 | **DOCXSearchTool**               | A RAG tool aimed at searching within DOCX documents, ideal for processing Word files.          |
 | **DirectoryReadTool**            | Facilitates reading and processing of directory structures and their contents.                 |
-| **ExaSearchTool**                | Search the web with Exa, the fastest and most accurate web search API. Supports token-efficient highlights and full page content. |
+| **EXASearchTool**                | A tool designed for performing exhaustive searches across various data sources.                |
 | **FileReadTool**                 | Enables reading and extracting data from files, supporting various file formats.               |
 | **FirecrawlSearchTool**          | A tool to search webpages using Firecrawl and return the results.                              |
 | **FirecrawlCrawlWebsiteTool**    | A tool for crawling webpages using Firecrawl.                                                  |
--- a/docs/en/guides/flows/mastering-flow-state.mdx
+++ b/docs/en/guides/flows/mastering-flow-state.mdx
@@ -346,48 +346,6 @@ class SelectivePersistFlow(Flow):
        return f"Complete with count {self.state['count']}"
 ```

-#### Forking Persisted State
-
-`@persist` supports two distinct hydration modes on `kickoff` / `kickoff_async`. Use **resume** (`inputs["id"]`) to continue the same lineage; use **fork** (`restore_from_state_id`) to start a new lineage seeded from a snapshot:
-
-| | `state.id` after kickoff | `@persist` writes land under |
-|---|---|---|
-| `inputs["id"]` (resume) | supplied id | supplied id (extends history) |
-| `restore_from_state_id` (fork) | fresh id, or `inputs["id"]` if pinned | new id (source preserved) |
-
-```python
-from crewai.flow.flow import Flow, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    id: str = ""
-    counter: int = 0
-
-@persist
-class CounterFlow(Flow[CounterState]):
-    @start()
-    def step(self):
-        self.state.counter += 1
-
-# Run 1: fresh state, counter 0 -> 1
-flow_1 = CounterFlow()
-flow_1.kickoff()
-
-# Fork: hydrate from flow_1's latest snapshot, but write under a NEW state.id
-flow_2 = CounterFlow()
-flow_2.kickoff(restore_from_state_id=flow_1.state.id)
-# flow_2 starts with counter=1 (hydrated), then step() bumps it to 2.
-# flow_1's flow_uuid history is unchanged.
-```
-
-Behavior notes:
-
- `restore_from_state_id` not found in persistence → the kickoff falls back silently to default behavior (mirrors the existing `inputs["id"]` resume not-found behavior). No exception is raised.
- Combining `restore_from_state_id` with `from_checkpoint` raises a `ValueError` — they target different state systems (`@persist` vs. Checkpointing) and cannot be combined.
- `restore_from_state_id=None` (default) is byte-identical to a kickoff without the parameter.
- Pinning `inputs["id"]` while forking means the new run shares a persistence key with another flow — usually you want only `restore_from_state_id`.
-

 ## Advanced State Patterns

--- a/docs/en/tools/ai-ml/daytona.mdx
+++ b/docs/en/tools/ai-ml/daytona.mdx
@@ -1,180 +0,0 @@
---
-title: Daytona Sandbox Tools
-description: Run shell commands, execute Python, and manage files inside isolated [Daytona](https://www.daytona.io/) sandboxes.
-icon: box
-mode: "wide"
---
-
-# Daytona Sandbox Tools
-
-## Description
-
-The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compute environments powered by [Daytona](https://www.daytona.io/). Three tools are available so you can give an agent exactly the capabilities it needs:
-
- **`DaytonaExecTool`** — run any shell command inside a sandbox.
- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
-
-All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
-
-## Installation
-
-```shell
-uv add "crewai-tools[daytona]"
-# or
-pip install "crewai-tools[daytona]"
-```
-
-Set your API key:
-
-```shell
-export DAYTONA_API_KEY="your-api-key"
-```
-
-`DAYTONA_API_URL` and `DAYTONA_TARGET` are also respected if set.
-
-## Sandbox Lifecycle
-
-All three tools inherit lifecycle controls from `DaytonaBaseTool`:
-
-| Mode | How to enable | Sandbox created | Sandbox deleted |
-|------|--------------|-----------------|-----------------|
-| **Ephemeral** (default) | `persistent=False` (default) | On every `_run` call | At the end of that same call |
-| **Persistent** | `persistent=True` | Lazily on first use | At process exit (via `atexit`), or manually via `tool.close()` |
-| **Attach** | `sandbox_id="<id>"` | Never — attaches to an existing sandbox | Never — the tool will not delete a sandbox it did not create |
-
-Ephemeral mode is the safe default: nothing leaks if the agent forgets to clean up. Use persistent mode when you want filesystem state or installed packages to carry across multiple tool calls — this is typical when pairing `DaytonaFileTool` with `DaytonaExecTool`.
-
-## Examples
-
-### One-shot Python execution (ephemeral)
-
-```python Code
-from crewai_tools import DaytonaPythonTool
-
-tool = DaytonaPythonTool()
-result = tool.run(code="print(sum(range(10)))")
-print(result)
-# {"exit_code": 0, "result": "45\n", "artifacts": None}
-```
-
-### Multi-step shell session (persistent)
-
-```python Code
-from crewai_tools import DaytonaExecTool, DaytonaFileTool
-
-exec_tool = DaytonaExecTool(persistent=True)
-file_tool = DaytonaFileTool(persistent=True)
-
-# Install a package, then write and run a script — all in the same sandbox
-exec_tool.run(command="pip install httpx -q")
-file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
-exec_tool.run(command="python /workspace/fetch.py")
-```
-
-<Note>
-Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
-</Note>
-
-### Attach to an existing sandbox
-
-```python Code
-from crewai_tools import DaytonaExecTool
-
-tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
-result = tool.run(command="ls /workspace")
-```
-
-### Custom sandbox parameters
-
-Pass Daytona's `CreateSandboxFromSnapshotParams` kwargs via `create_params`:
-
-```python Code
-from crewai_tools import DaytonaExecTool
-
-tool = DaytonaExecTool(
-    persistent=True,
-    create_params={
-        "language": "python",
-        "env_vars": {"MY_FLAG": "1"},
-        "labels": {"owner": "crewai-agent"},
-    },
-)
-```
-
-### Agent integration
-
-```python Code
-from crewai import Agent, Task, Crew
-from crewai_tools import DaytonaExecTool, DaytonaPythonTool, DaytonaFileTool
-
-exec_tool = DaytonaExecTool(persistent=True)
-python_tool = DaytonaPythonTool(persistent=True)
-file_tool = DaytonaFileTool(persistent=True)
-
-coder = Agent(
-    role="Sandbox Engineer",
-    goal="Write and run code in an isolated environment",
-    backstory="An engineer who uses Daytona sandboxes to safely execute code and manage files.",
-    tools=[exec_tool, python_tool, file_tool],
-    verbose=True,
-)
-
-task = Task(
-    description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
-    expected_output="The first 10 Fibonacci numbers printed to stdout.",
-    agent=coder,
-)
-
-crew = Crew(agents=[coder], tasks=[task])
-result = crew.kickoff()
-```
-
-## Parameters
-
-### Shared (`DaytonaBaseTool`)
-
-All three tools accept these parameters at initialization:
-
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `api_key` | `str \| None` | `$DAYTONA_API_KEY` | Daytona API key. Falls back to the `DAYTONA_API_KEY` env var. |
-| `api_url` | `str \| None` | `$DAYTONA_API_URL` | Daytona API URL override. |
-| `target` | `str \| None` | `$DAYTONA_TARGET` | Daytona target region. |
-| `persistent` | `bool` | `False` | Reuse one sandbox across all calls and delete it at process exit. |
-| `sandbox_id` | `str \| None` | `None` | Attach to an existing sandbox by id or name. |
-| `create_params` | `dict \| None` | `None` | Extra kwargs forwarded to `CreateSandboxFromSnapshotParams` (e.g. `language`, `env_vars`, `labels`). |
-| `sandbox_timeout` | `float` | `60.0` | Timeout in seconds for sandbox create/delete operations. |
-
-### `DaytonaExecTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `command` | `str` | ✓ | Shell command to execute. |
-| `cwd` | `str \| None` | | Working directory inside the sandbox. |
-| `env` | `dict[str, str] \| None` | | Extra environment variables for this command. |
-| `timeout` | `int \| None` | | Maximum seconds to wait for the command. |
-
-### `DaytonaPythonTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `code` | `str` | ✓ | Python source code to execute. |
-| `argv` | `list[str] \| None` | | Argument vector forwarded via `CodeRunParams`. |
-| `env` | `dict[str, str] \| None` | | Environment variables forwarded via `CodeRunParams`. |
-| `timeout` | `int \| None` | | Maximum seconds to wait for execution. |
-
-### `DaytonaFileTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
-| `path` | `str` | ✓ | Absolute path inside the sandbox. |
-| `content` | `str \| None` | | Content to write or append. Required for `append`. |
-| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
-| `recursive` | `bool` | | For `delete`: remove directories recursively. |
-| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
-
-<Tip>
-For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
-</Tip>
--- a/docs/en/tools/ai-ml/e2bsandboxtools.mdx
+++ b/docs/en/tools/ai-ml/e2bsandboxtools.mdx
@@ -1,196 +0,0 @@
---
-title: E2B Sandbox Tools
-description: The `E2BExecTool`, `E2BPythonTool`, and `E2BFileTool` give CrewAI agents shell, Python, and filesystem access inside isolated, ephemeral E2B remote sandboxes.
-icon: box
-mode: "wide"
---
-
-# E2B Sandbox Tools
-
-## Description
-
-The E2B sandbox tools let CrewAI agents run code in isolated, ephemeral VMs hosted by [E2B](https://e2b.dev). Three tools share a common base class and connection model:
-
- `E2BExecTool` — execute shell commands.
- `E2BPythonTool` — execute Python in a Jupyter-style code interpreter (returns stdout, stderr, and rich results such as charts, dataframes, HTML, SVG, and PNG).
- `E2BFileTool` — perform filesystem operations (read, write, append, list, delete, mkdir, info, exists), including binary content via base64.
-
-Use these tools when you want to give an agent the ability to run arbitrary code or perform file operations without exposing the host environment.
-
-## Installation
-
-Install the `e2b` extra for `crewai-tools` and set your E2B API key:
-
-```shell
-uv add "crewai-tools[e2b]"
-```
-
-```shell
-export E2B_API_KEY="e2b_..."
-```
-
-## Tools
-
-### `E2BExecTool`
-
-Runs shell commands inside the sandbox via `sandbox.commands.run`.
-
-**Arguments**
-
- `command: str` — Required. The shell command to execute.
- `cwd: str | None` — Optional. Working directory for the command.
- `envs: dict[str, str] | None` — Optional. Per-call environment variables.
- `timeout: float | None` — Optional. Timeout in seconds.
-
-**Returns**
-
-```json
-{
-  "exit_code": 0,
-  "stdout": "...",
-  "stderr": "...",
-  "error": null
-}
-```
-
-### `E2BPythonTool`
-
-Runs Python code in a Jupyter-style code interpreter using the `e2b_code_interpreter` SDK.
-
-**Arguments**
-
- `code: str` — Required. The code to execute.
- `language: str | None` — Optional. Language identifier (defaults to Python).
- `envs: dict[str, str] | None` — Optional. Per-call environment variables.
- `timeout: float | None` — Optional. Timeout in seconds.
-
-**Returns**
-
-```json
-{
-  "text": "...",
-  "stdout": "...",
-  "stderr": "...",
-  "error": null,
-  "results": [],
-  "execution_count": 1
-}
-```
-
-`results` can include charts, dataframes, HTML, SVG, and PNG output produced by the cell.
-
-### `E2BFileTool`
-
-Performs filesystem operations inside the sandbox. Auto-creates parent directories on write and handles binary content via base64.
-
-**Arguments**
-
- `action: "read" | "write" | "append" | "list" | "delete" | "mkdir" | "info" | "exists"` — Required.
- `path: str` — Required. Target path inside the sandbox.
- `content: str | None` — Optional. Content for `write` / `append`. Base64-encoded when `binary=True`.
- `binary: bool` — Optional. Treat `content` as binary (base64). Default `False`.
- `depth: int` — Optional. Recursion depth for `list`.
-
-## Shared parameters (`E2BBaseTool`)
-
-All three tools accept the same connection / lifecycle parameters:
-
- `api_key: SecretStr | None` — Falls back to the `E2B_API_KEY` environment variable.
- `domain: str | None` — Falls back to the `E2B_DOMAIN` environment variable.
- `template: str | None` — Custom sandbox template or snapshot.
- `persistent: bool` — Default `False`. See [Sandbox modes](#sandbox-modes).
- `sandbox_id: str | None` — Attach to an existing sandbox.
- `sandbox_timeout: int` — Idle timeout in seconds. Default `300`.
- `envs: dict[str, str] | None` — Environment variables injected at sandbox creation.
- `metadata: dict[str, str] | None` — Metadata attached at sandbox creation.
-
-## Sandbox modes
-
-| Mode | How to activate | Sandbox lifetime |
-| --- | --- | --- |
-| Ephemeral (default) | `persistent=False` | A new sandbox is created and killed for every `_run` call. |
-| Persistent | `persistent=True` | A sandbox is lazily created on the first call and killed at process exit via `atexit`. |
-| Attach | `sandbox_id="sbx_..."` | The tool attaches to an existing sandbox and never kills it. |
-
-Use ephemeral mode for one-off tasks — it minimizes blast radius. Use persistent mode when an agent needs to keep state across multiple tool calls (e.g. a shell session plus filesystem ops on the same files). Use attach mode when an outside system manages the sandbox lifecycle.
-
-## Examples
-
-### One-shot Python (ephemeral)
-
-```python Code
-from crewai_tools import E2BPythonTool
-
-tool = E2BPythonTool()
-result = tool.run(code="print(sum(range(10)))")
-```
-
-### Persistent shell + filesystem session
-
-```python Code
-from crewai_tools import E2BExecTool, E2BFileTool
-
-exec_tool = E2BExecTool(persistent=True)
-file_tool = E2BFileTool(persistent=True)
-```
-
-When the process exits, both tools clean up the sandbox via `atexit`.
-
-### Attach to an existing sandbox
-
-```python Code
-from crewai_tools import E2BExecTool
-
-tool = E2BExecTool(sandbox_id="sbx_...")
-```
-
-The tool will not kill a sandbox it attached to.
-
-### Custom template, timeout, env vars, and metadata
-
-```python Code
-from crewai_tools import E2BExecTool
-
-tool = E2BExecTool(
-    persistent=True,
-    template="my-custom-template",
-    sandbox_timeout=600,
-    envs={"MY_FLAG": "1"},
-    metadata={"owner": "crewai-agent"},
-)
-```
-
-### Full agent example
-
-```python Code
-from crewai import Agent, Crew, Process, Task
-from crewai_tools import E2BPythonTool
-
-python_tool = E2BPythonTool()
-
-analyst = Agent(
-    role="Data Analyst",
-    goal="Run Python in a sandbox to answer analytical questions",
-    backstory="An analyst who delegates computation to an isolated E2B sandbox.",
-    tools=[python_tool],
-    verbose=True,
-)
-
-task = Task(
-    description="Compute the mean of [1, 2, 3, 4, 5] and return the result.",
-    expected_output="The numerical mean.",
-    agent=analyst,
-)
-
-crew = Crew(agents=[analyst], tasks=[task], process=Process.sequential)
-result = crew.kickoff()
-```
-
-## Security considerations
-
-These tools give agents arbitrary shell, Python, and filesystem access inside the sandbox. The sandbox isolates execution from your host, but you should still treat tool output as untrusted and design with prompt-injection in mind:
-
- Ephemeral mode is the primary blast-radius control — every `_run` call gets a fresh VM. Prefer it unless persistent state is required.
- Persistent and attached sandboxes accumulate state across calls. Anything seeded into them (credentials, tokens, files) is reachable by every subsequent tool invocation, including ones whose inputs were influenced by untrusted content.
- Avoid injecting secrets into long-lived sandboxes that an agent can read or exfiltrate. Use short-lived credentials and the smallest scope necessary.
- `sandbox_timeout` bounds idle time but does not cap total execution. Set it to the smallest value that fits your workload.
--- a/docs/en/tools/search-research/exasearchtool.mdx
+++ b/docs/en/tools/search-research/exasearchtool.mdx
@@ -1,11 +1,11 @@
 ---
 title: "Exa Search Tool"
-description: "Search the web with Exa, the fastest and most accurate web search API. Get token-efficient highlights and full page content."
+description: "Search the web using the Exa Search API to find the most relevant results for any query, with options for full page content, highlights, and summaries."
 icon: "magnifying-glass"
 mode: "wide"
 ---

-The `ExaSearchTool` lets CrewAI agents search the web using [Exa](https://exa.ai/), the fastest and most accurate web search API. It returns the most relevant results for any query, with options for token-efficient highlights and full page content.
+The `EXASearchTool` lets CrewAI agents search the web using the [Exa](https://exa.ai/) search API. It returns the most relevant results for any query, with options for full page content and AI-generated summaries.

 ## Installation

@@ -27,15 +27,15 @@ Get an API key from the [Exa dashboard](https://dashboard.exa.ai/api-keys).

 ## Example Usage

-Here's how to use the `ExaSearchTool` within a CrewAI agent:
+Here's how to use the `EXASearchTool` within a CrewAI agent:

 ```python
 import os
 from crewai import Agent, Task, Crew
-from crewai_tools import ExaSearchTool
+from crewai_tools import EXASearchTool

 # Initialize the tool
-exa_tool = ExaSearchTool()
+exa_tool = EXASearchTool()

 # Create an agent that uses the tool
 researcher = Agent(
@@ -66,11 +66,11 @@ print(result)

 ## Configuration Options

-The `ExaSearchTool` accepts the following parameters during initialization:
+The `EXASearchTool` accepts the following parameters during initialization:

 - `type` (str, optional): The search type to use. Defaults to `"auto"`. Options: `"auto"`, `"instant"`, `"fast"`, `"deep"`.
- `highlights` (bool or dict, optional): Return token-efficient excerpts most relevant to the query instead of the full page. Defaults to `True`. Pass a dict like `{"max_characters": 4000}` to configure, or `False` to disable.
 - `content` (bool, optional): Whether to include full page content in results. Defaults to `False`.
+- `summary` (bool, optional): Whether to include AI-generated summaries of each result. Requires `content=True`. Defaults to `False`.
 - `api_key` (str, optional): Your Exa API key. Falls back to the `EXA_API_KEY` environment variable if not provided.
 - `base_url` (str, optional): Custom API server URL. Falls back to the `EXA_BASE_URL` environment variable if not provided.

@@ -83,70 +83,28 @@ When calling the tool (or when an agent invokes it), the following search parame

 ## Advanced Usage

-For most agent workflows we recommend `highlights` — it returns the most relevant excerpts from each result and uses far fewer tokens than full page content:
+You can configure the tool with custom parameters for richer results:

 ```python
-# Get token-efficient excerpts most relevant to the query
-exa_tool = ExaSearchTool(
-    highlights=True,
-    type="auto",
+# Get full page content with AI summaries
+exa_tool = EXASearchTool(
+    content=True,
+    summary=True,
+    type="deep"
 )

 # Use it in an agent
 agent = Agent(
-    role="Researcher",
-    goal="Answer questions with current web data",
+    role="Deep Researcher",
+    goal="Conduct thorough research with full content and summaries",
    tools=[exa_tool]
 )
 ```

-For thorough, multi-step searches, use `type="deep"`:
-
-```python
-exa_tool = ExaSearchTool(
-    highlights=True,
-    type="deep",
-)
-```
-
-For more on choosing between highlights and full content, see the [Exa search best practices](https://exa.ai/docs/reference/search-best-practices).
-
-## Using Exa via MCP
-
-You can also connect your agent to Exa's hosted MCP server. Pass your API key with the `x-api-key` header:
-
-```python
-from crewai import Agent
-from crewai.mcp import MCPServerHTTP
-
-agent = Agent(
-    role="Research Analyst",
-    goal="Find and analyze information on the web",
-    backstory="Expert researcher with access to Exa's tools",
-    mcps=[
-        MCPServerHTTP(
-            url="https://mcp.exa.ai/mcp",
-            headers={"x-api-key": "YOUR_EXA_API_KEY"},
-        ),
-    ],
-)
-```
-
-Get your API key from the [Exa dashboard](https://dashboard.exa.ai/api-keys). For more on MCP in CrewAI, see the [MCP overview](/en/mcp/overview).
-
 ## Features

- **Token-Efficient Highlights**: Get the most relevant excerpts from each result, ~10x fewer tokens than full text
 - **Semantic Search**: Find results based on meaning, not just keywords
 - **Full Content Retrieval**: Get the full text of web pages alongside search results
+- **AI Summaries**: Get concise, AI-generated summaries of each result
 - **Date Filtering**: Limit results to specific time periods with published date filters
 - **Domain Filtering**: Restrict searches to specific domains
-
-<Note>
-`EXASearchTool` is a deprecated alias for `ExaSearchTool`. Existing imports continue to work but will emit a deprecation warning; please migrate to `ExaSearchTool`.
-</Note>
-
-## Resources
-
- [Exa documentation](https://exa.ai/docs)
- [Exa dashboard — manage API keys and usage](https://dashboard.exa.ai)
--- a/docs/ko/changelog.mdx
+++ b/docs/ko/changelog.mdx
@@ -4,101 +4,6 @@ description: "CrewAI의 제품 업데이트, 개선 사항 및 버그 수정"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="2026년 5월 1일">
-  ## v1.14.5a1
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a1)
-
-  ## 변경 사항
-
-  ### 기능
-  - `restore_from_state_id` 시작 매개변수 추가
-  - ExaSearchTool에 하이라이트 추가 및 EXASearchTool에서 이름 변경
-
-  ### 버그 수정
-  - 릴리스 흐름에서 crewai 핀 사이트 누락 수정
-  - 트레이스를 위한 기술 로딩 이벤트 보장
-
-  ### 문서
-  - v1.14.4에 대한 변경 로그 및 버전 업데이트
-
-  ## 기여자
-
-  @akaKuruma, @github-actions[bot], @greysonlalonde, @lorenzejay, @theishangoswami
-
-</Update>
-
-<Update label="2026년 5월 1일">
-  ## v1.14.4
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.4)
-
-  ## 변경 사항
-
-  ### 기능
-  - @persist에서 사용자 정의 지속성 키 지원 추가
-  - Azure OpenAI 공급자를 위한 응답 API 지원 추가
-  - Azure AI 추론 클라이언트에 credential_scopes 전달
-  - Vertex AI 작업 부하 신원 설정 가이드 추가
-  - Tavily Research 및 Research 가져오기 추가
-  - 검색, 연구 및 콘텐츠 추출을 위한 You.com MCP 도구 추가
-
-  ### 버그 수정
-  - JSON 정규 표현식이 유효한 JSON이 아닐 때의 fall through 수정
-  - 응답에 텍스트가 포함될 때 tool_calls를 보존하도록 수정
-  - instructor.from_provider에 base_url 및 api_key를 전달하도록 수정
-  - 기본 MCP 서버가 도구를 반환하지 않을 때 경고하고 빈 값을 반환하도록 수정
-  - 비스트리밍 핸들러에서 검증된 메시지 변수를 사용하도록 수정
-  - LLM 실패에 대한 크루 채팅 설명 도우미를 보호하도록 수정
-  - 호출 간 메시지 및 반복을 재설정하도록 수정
-  - replay 및 test를 통해 훈련된 에이전트 파일을 전달하도록 수정
-  - 추론 시 사용자 정의 훈련된 에이전트 파일을 존중하도록 수정
-  - 다중 모드 input_files에 대해 작업 전용 에이전트를 크루에 바인딩하도록 수정
-  - JSON 체크포인팅을 위해 가드레일 호출 가능 항목을 null로 직렬화하도록 수정
-  - 자기 참조 라우터를 피하기 위해 force_final_answer의 이름 변경 수정
-  - SSTI 수정을 위한 litellm 버전 증가; 수정할 수 없는 pip CVE 무시
-
-  ### 문서
-  - v1.14.4a1에 대한 변경 로그 및 버전 업데이트
-  - E2B 샌드박스 도구 페이지 추가
-  - Daytona 샌드박스 도구 문서 추가
-
-  ## 기여자
-
-  @EdwardIrby, @dependabot[bot], @factory-droid-oss, @factory-droid[bot], @greysonlalonde, @kunalk16, @lorenzejay, @lucasgomide, @manisrinivasan2k1, @mattatcha, @vinibrsl
-
-</Update>
-
-<Update label="2026년 4월 29일">
-  ## v1.14.4a1
-
-  [GitHub 릴리스 보기](https://github.com/crewAIInc/crewAI/releases/tag/1.14.4a1)
-
-  ## 변경 사항
-
-  ### 버그 수정
-  - LLM 실패에 대한 크루 채팅 설명 도우미 수정.
-  - 실행기에서 호출 간 메시지 및 반복 초기화.
-  - CLI에서 재생 및 테스트를 통해 훈련된 에이전트 파일 전달.
-  - 에이전트에서 추론 시 사용자 정의 훈련된 에이전트 파일 존중.
-  - 다중 모드 입력 파일이 LLM에 도달하도록 작업 전용 에이전트를 크루에 바인딩.
-  - JSON 체크포인트를 위해 가드레일 호출 가능 항목을 null로 직렬화.
-  - 자기 참조 라우터를 피하기 위해 agent_executor에서 `force_final_answer` 이름 변경.
-  - SSTI 수정을 위한 `litellm` 버전 증가 및 수정 불가능한 pip CVE 무시.
-
-  ### 문서
-  - E2B 샌드박스 도구 페이지 추가.
-  - Daytona 샌드박스 도구 문서 추가.
-  - Vertex AI 작업 부하 신원 설정 가이드 추가.
-  - 검색, 연구 및 콘텐츠 추출을 위한 You.com MCP 도구 추가.
-  - v1.14.3에 대한 변경 로그 및 버전 업데이트.
-
-  ## 기여자
-
-  @EdwardIrby, @dependabot[bot], @factory-droid-oss, @factory-droid[bot], @greysonlalonde, @lorenzejay, @manisrinivasan2k1, @mattatcha
-
-</Update>
-
 <Update label="2026년 4월 25일">
  ## v1.14.3

--- a/docs/ko/concepts/flows.mdx
+++ b/docs/ko/concepts/flows.mdx
@@ -373,42 +373,6 @@ class AnotherFlow(Flow[dict]):
        print("Method-level persisted runs:", self.state["runs"])
 ```

-### 영속 상태 포크하기
-
-`@persist`는 `kickoff` / `kickoff_async`에서 두 가지 별개의 하이드레이션 모드를 지원합니다:
-
- `kickoff(inputs={"id": <uuid>})` — **재개(resume)**: 제공된 UUID에 대한 최신 스냅샷을 로드하고 동일한 `flow_uuid` 아래에서 계속 기록합니다. 기록이 확장됩니다.
- `kickoff(restore_from_state_id=<uuid>)` — **포크(fork)**: 제공된 UUID에 대한 최신 스냅샷을 로드하고 새 실행의 상태를 하이드레이트한 후, 새로운 `state.id`(자동 생성, 또는 `inputs["id"]`가 고정된 경우 그 값)를 할당합니다. 새 실행의 `@persist` 기록은 새로운 `state.id` 아래에 저장되며, 원본 플로우의 기록은 보존됩니다.
-
-```python
-from crewai.flow.flow import Flow, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    id: str = ""
-    counter: int = 0
-
-@persist
-class CounterFlow(Flow[CounterState]):
-    @start()
-    def step(self):
-        self.state.counter += 1
-        print(f"[id={self.state.id}] counter={self.state.counter}")
-
-# 실행 1: 새 상태, counter 0 -> 1, flow_1.state.id 아래에 저장됨
-flow_1 = CounterFlow()
-flow_1.kickoff()
-
-# 포크: flow_1의 최신 스냅샷에서 하이드레이트하지만, 새 state.id를 사용
-flow_2 = CounterFlow()
-flow_2.kickoff(restore_from_state_id=flow_1.state.id)
-# flow_2.state.counter는 1(하이드레이트)로 시작하고, step()이 2로 증가시킵니다.
-# flow_2.state.id != flow_1.state.id; flow_1의 기록은 변경되지 않습니다.
-```
-
-제공된 `restore_from_state_id`가 어떤 영속 상태와도 일치하지 않으면, kickoff는 조용히 기본 동작으로 폴백됩니다 — 기존 `inputs["id"]`의 미발견 동작과 동일합니다. `restore_from_state_id`를 `from_checkpoint`와 결합하면 `ValueError`가 발생합니다; 하나의 하이드레이션 소스를 선택하세요. 포크 중 `inputs["id"]`를 고정하면 다른 플로우와 영속 키를 공유하게 됩니다 — 일반적으로 `restore_from_state_id`만 사용하는 것이 좋습니다.
-
 ### 작동 방식

 1. **고유 상태 식별**
--- a/docs/ko/concepts/production-architecture.mdx
+++ b/docs/ko/concepts/production-architecture.mdx
@@ -146,14 +146,6 @@ class ProductionFlow(Flow[AppState]):
    # ...
 ```

-기본적으로, `@persist`는 `kickoff(inputs={"id": <uuid>})`가 제공될 때 플로우를 재개하여 동일한 `flow_uuid` 기록을 확장합니다. 영속된 플로우를 새 계보로 **포크**하려면 — 이전 실행에서 상태를 하이드레이트하지만 새로운 `state.id` 아래에 기록 — `restore_from_state_id`를 전달하세요:
-
-```python
-flow.kickoff(restore_from_state_id="<previous-run-state-id>")
-```
-
-새 실행은 새로운 `state.id`(자동 생성, 또는 `inputs["id"]`가 고정된 경우 그 값)를 받아 `@persist` 기록이 원본의 기록을 확장하지 않도록 합니다. `from_checkpoint`와 결합하면 `ValueError`가 발생합니다; 하나의 하이드레이션 소스를 선택하세요.
-
 ## 요약

 - **Flow로 시작하세요.**
--- a/docs/ko/concepts/tools.mdx
+++ b/docs/ko/concepts/tools.mdx
@@ -132,7 +132,7 @@ crew.kickoff()
 | **DirectorySearchTool**           | 디렉터리 내에서 검색하는 RAG 도구로, 파일 시스템을 탐색할 때 유용합니다.                              |
 | **DOCXSearchTool**                | DOCX 문서 내에서 검색하는 데 특화된 RAG 도구로, Word 파일을 처리할 때 이상적입니다.                   |
 | **DirectoryReadTool**             | 디렉터리 구조와 그 내용을 읽고 처리하도록 지원하는 도구입니다.                                        |
-| **ExaSearchTool**                 | 다양한 데이터 소스를 폭넓게 검색하기 위해 설계된 도구입니다.                                          |
+| **EXASearchTool**                 | 다양한 데이터 소스를 폭넓게 검색하기 위해 설계된 도구입니다.                                          |
 | **FileReadTool**                  | 다양한 파일 형식을 지원하며 파일에서 데이터를 읽고 추출할 수 있는 도구입니다.                         |
 | **FirecrawlSearchTool**           | Firecrawl을 이용해 웹페이지를 검색하고 결과를 반환하는 도구입니다.                                    |
 | **FirecrawlCrawlWebsiteTool**     | Firecrawl을 사용해 웹페이지를 크롤링하는 도구입니다.                                                  |
--- a/docs/ko/guides/flows/mastering-flow-state.mdx
+++ b/docs/ko/guides/flows/mastering-flow-state.mdx
@@ -346,48 +346,6 @@ class SelectivePersistFlow(Flow):
        return f"Complete with count {self.state['count']}"
 ```

-#### 영속 상태 포크하기
-
-`@persist`는 `kickoff` / `kickoff_async`에서 두 가지 별개의 하이드레이션 모드를 지원합니다. 동일한 계보를 계속하려면 **재개**(`inputs["id"]`)를 사용하고, 스냅샷에서 시작하는 새 계보를 시작하려면 **포크**(`restore_from_state_id`)를 사용하세요:
-
-| | kickoff 후 `state.id` | `@persist` 기록 위치 |
-|---|---|---|
-| `inputs["id"]` (재개) | 제공된 id | 제공된 id (기록 확장) |
-| `restore_from_state_id` (포크) | 새 id, 또는 고정 시 `inputs["id"]` | 새 id (원본 보존) |
-
-```python
-from crewai.flow.flow import Flow, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    id: str = ""
-    counter: int = 0
-
-@persist
-class CounterFlow(Flow[CounterState]):
-    @start()
-    def step(self):
-        self.state.counter += 1
-
-# 실행 1: 새 상태, counter 0 -> 1
-flow_1 = CounterFlow()
-flow_1.kickoff()
-
-# 포크: flow_1의 최신 스냅샷에서 하이드레이트, 단 새 state.id에 기록
-flow_2 = CounterFlow()
-flow_2.kickoff(restore_from_state_id=flow_1.state.id)
-# flow_2는 counter=1(하이드레이트)로 시작하고, step()이 2로 증가시킵니다.
-# flow_1의 flow_uuid 기록은 변경되지 않습니다.
-```
-
-동작 노트:
-
- `restore_from_state_id`가 영속에서 발견되지 않음 → kickoff는 조용히 기본 동작으로 폴백됩니다 (기존 `inputs["id"]`의 미발견 동작 미러링). 예외는 발생하지 않습니다.
- `restore_from_state_id`를 `from_checkpoint`와 결합하면 `ValueError`가 발생합니다 — 서로 다른 상태 시스템(`@persist` 대 Checkpointing)을 대상으로 하므로 결합할 수 없습니다.
- `restore_from_state_id=None`(기본값)은 매개변수 없는 kickoff와 바이트 단위로 동일합니다.
- 포크 중 `inputs["id"]`를 고정하면 새 실행이 다른 플로우와 영속 키를 공유함을 의미합니다 — 일반적으로 `restore_from_state_id`만 사용하는 것이 좋습니다.
-
 ## 고급 상태 패턴

 ### 상태 기반 조건부 로직
--- a/docs/ko/tools/ai-ml/daytona.mdx
+++ b/docs/ko/tools/ai-ml/daytona.mdx
@@ -1,180 +0,0 @@
---
-title: Daytona Sandbox Tools
-description: Run shell commands, execute Python, and manage files inside isolated [Daytona](https://www.daytona.io/) sandboxes.
-icon: box
-mode: "wide"
---
-
-# Daytona Sandbox Tools
-
-## Description
-
-The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compute environments powered by [Daytona](https://www.daytona.io/). Three tools are available so you can give an agent exactly the capabilities it needs:
-
- **`DaytonaExecTool`** — run any shell command inside a sandbox.
- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
-
-All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
-
-## Installation
-
-```shell
-uv add "crewai-tools[daytona]"
-# or
-pip install "crewai-tools[daytona]"
-```
-
-Set your API key:
-
-```shell
-export DAYTONA_API_KEY="your-api-key"
-```
-
-`DAYTONA_API_URL` and `DAYTONA_TARGET` are also respected if set.
-
-## Sandbox Lifecycle
-
-All three tools inherit lifecycle controls from `DaytonaBaseTool`:
-
-| Mode | How to enable | Sandbox created | Sandbox deleted |
-|------|--------------|-----------------|-----------------|
-| **Ephemeral** (default) | `persistent=False` (default) | On every `_run` call | At the end of that same call |
-| **Persistent** | `persistent=True` | Lazily on first use | At process exit (via `atexit`), or manually via `tool.close()` |
-| **Attach** | `sandbox_id="<id>"` | Never — attaches to an existing sandbox | Never — the tool will not delete a sandbox it did not create |
-
-Ephemeral mode is the safe default: nothing leaks if the agent forgets to clean up. Use persistent mode when you want filesystem state or installed packages to carry across multiple tool calls — this is typical when pairing `DaytonaFileTool` with `DaytonaExecTool`.
-
-## Examples
-
-### One-shot Python execution (ephemeral)
-
-```python Code
-from crewai_tools import DaytonaPythonTool
-
-tool = DaytonaPythonTool()
-result = tool.run(code="print(sum(range(10)))")
-print(result)
-# {"exit_code": 0, "result": "45\n", "artifacts": None}
-```
-
-### Multi-step shell session (persistent)
-
-```python Code
-from crewai_tools import DaytonaExecTool, DaytonaFileTool
-
-exec_tool = DaytonaExecTool(persistent=True)
-file_tool = DaytonaFileTool(persistent=True)
-
-# Install a package, then write and run a script — all in the same sandbox
-exec_tool.run(command="pip install httpx -q")
-file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
-exec_tool.run(command="python /workspace/fetch.py")
-```
-
-<Note>
-Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
-</Note>
-
-### Attach to an existing sandbox
-
-```python Code
-from crewai_tools import DaytonaExecTool
-
-tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
-result = tool.run(command="ls /workspace")
-```
-
-### Custom sandbox parameters
-
-Pass Daytona's `CreateSandboxFromSnapshotParams` kwargs via `create_params`:
-
-```python Code
-from crewai_tools import DaytonaExecTool
-
-tool = DaytonaExecTool(
-    persistent=True,
-    create_params={
-        "language": "python",
-        "env_vars": {"MY_FLAG": "1"},
-        "labels": {"owner": "crewai-agent"},
-    },
-)
-```
-
-### Agent integration
-
-```python Code
-from crewai import Agent, Task, Crew
-from crewai_tools import DaytonaExecTool, DaytonaPythonTool, DaytonaFileTool
-
-exec_tool = DaytonaExecTool(persistent=True)
-python_tool = DaytonaPythonTool(persistent=True)
-file_tool = DaytonaFileTool(persistent=True)
-
-coder = Agent(
-    role="Sandbox Engineer",
-    goal="Write and run code in an isolated environment",
-    backstory="An engineer who uses Daytona sandboxes to safely execute code and manage files.",
-    tools=[exec_tool, python_tool, file_tool],
-    verbose=True,
-)
-
-task = Task(
-    description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
-    expected_output="The first 10 Fibonacci numbers printed to stdout.",
-    agent=coder,
-)
-
-crew = Crew(agents=[coder], tasks=[task])
-result = crew.kickoff()
-```
-
-## Parameters
-
-### Shared (`DaytonaBaseTool`)
-
-All three tools accept these parameters at initialization:
-
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `api_key` | `str \| None` | `$DAYTONA_API_KEY` | Daytona API key. Falls back to the `DAYTONA_API_KEY` env var. |
-| `api_url` | `str \| None` | `$DAYTONA_API_URL` | Daytona API URL override. |
-| `target` | `str \| None` | `$DAYTONA_TARGET` | Daytona target region. |
-| `persistent` | `bool` | `False` | Reuse one sandbox across all calls and delete it at process exit. |
-| `sandbox_id` | `str \| None` | `None` | Attach to an existing sandbox by id or name. |
-| `create_params` | `dict \| None` | `None` | Extra kwargs forwarded to `CreateSandboxFromSnapshotParams` (e.g. `language`, `env_vars`, `labels`). |
-| `sandbox_timeout` | `float` | `60.0` | Timeout in seconds for sandbox create/delete operations. |
-
-### `DaytonaExecTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `command` | `str` | ✓ | Shell command to execute. |
-| `cwd` | `str \| None` | | Working directory inside the sandbox. |
-| `env` | `dict[str, str] \| None` | | Extra environment variables for this command. |
-| `timeout` | `int \| None` | | Maximum seconds to wait for the command. |
-
-### `DaytonaPythonTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `code` | `str` | ✓ | Python source code to execute. |
-| `argv` | `list[str] \| None` | | Argument vector forwarded via `CodeRunParams`. |
-| `env` | `dict[str, str] \| None` | | Environment variables forwarded via `CodeRunParams`. |
-| `timeout` | `int \| None` | | Maximum seconds to wait for execution. |
-
-### `DaytonaFileTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
-| `path` | `str` | ✓ | Absolute path inside the sandbox. |
-| `content` | `str \| None` | | Content to write or append. Required for `append`. |
-| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
-| `recursive` | `bool` | | For `delete`: remove directories recursively. |
-| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
-
-<Tip>
-For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
-</Tip>
--- a/docs/ko/tools/search-research/exasearchtool.mdx
+++ b/docs/ko/tools/search-research/exasearchtool.mdx
@@ -1,15 +1,15 @@
 ---
 title: EXA 검색 웹 로더
-description: ExaSearchTool은 인터넷 전반에 걸쳐 텍스트의 내용에서 지정된 쿼리에 대한 시맨틱 검색을 수행하도록 설계되었습니다.
+description: EXASearchTool은 인터넷 전반에 걸쳐 텍스트의 내용에서 지정된 쿼리에 대한 시맨틱 검색을 수행하도록 설계되었습니다.
 icon: globe-pointer
 mode: "wide"
 ---

-# `ExaSearchTool`
+# `EXASearchTool`

 ## 설명

-ExaSearchTool은 텍스트의 내용을 기반으로 지정된 쿼리를 인터넷 전반에 걸쳐 의미론적으로 검색하도록 설계되었습니다.
+EXASearchTool은 텍스트의 내용을 기반으로 지정된 쿼리를 인터넷 전반에 걸쳐 의미론적으로 검색하도록 설계되었습니다.
 사용자가 제공한 쿼리를 기반으로 가장 관련성 높은 검색 결과를 가져오고 표시하기 위해 [exa.ai](https://exa.ai/) API를 활용합니다.

 ## 설치
@@ -25,15 +25,15 @@ pip install 'crewai[tools]'
 다음 예제는 도구를 초기화하고 주어진 쿼리로 검색을 실행하는 방법을 보여줍니다:

 ```python Code
-from crewai_tools import ExaSearchTool
+from crewai_tools import EXASearchTool

 # Initialize the tool for internet searching capabilities
-tool = ExaSearchTool()
+tool = EXASearchTool()
 ```

 ## 시작 단계

-ExaSearchTool을 효과적으로 사용하려면 다음 단계를 따르세요:
+EXASearchTool을 효과적으로 사용하려면 다음 단계를 따르세요:

 <Steps>
    <Step title="패키지 설치">
@@ -47,35 +47,7 @@ ExaSearchTool을 효과적으로 사용하려면 다음 단계를 따르세요:
    </Step>
 </Steps>

-## MCP를 통한 Exa 사용
-
-Exa가 호스팅하는 MCP 서버에 에이전트를 연결할 수도 있습니다. API 키는 `x-api-key` 헤더로 전달하세요:
-
-```python
-from crewai import Agent
-from crewai.mcp import MCPServerHTTP
-
-agent = Agent(
-    role="Research Analyst",
-    goal="Find and analyze information on the web",
-    backstory="Expert researcher with access to Exa's tools",
-    mcps=[
-        MCPServerHTTP(
-            url="https://mcp.exa.ai/mcp",
-            headers={"x-api-key": "YOUR_EXA_API_KEY"},
-        ),
-    ],
-)
-```
-
-API 키는 [Exa 대시보드](https://dashboard.exa.ai/api-keys)에서 발급받을 수 있습니다. CrewAI에서의 MCP 사용에 대한 자세한 내용은 [MCP 개요](/ko/mcp/overview)를 참고하세요.
-
 ## 결론

-`ExaSearchTool`을 Python 프로젝트에 통합함으로써, 사용자는 애플리케이션 내에서 실시간으로 인터넷을 직접 검색할 수 있는 능력을 얻게 됩니다.
+`EXASearchTool`을 Python 프로젝트에 통합함으로써, 사용자는 애플리케이션 내에서 실시간으로 인터넷을 직접 검색할 수 있는 능력을 얻게 됩니다.
 제공된 설정 및 사용 지침을 따르면, 이 도구를 프로젝트에 포함하는 과정이 간편하고 직관적입니다.
-
-## 참고 자료
-
- [Exa 공식 문서](https://exa.ai/docs)
- [Exa 대시보드 — API 키 및 사용량 관리](https://dashboard.exa.ai)
--- a/docs/pt-BR/changelog.mdx
+++ b/docs/pt-BR/changelog.mdx
@@ -4,101 +4,6 @@ description: "Atualizações de produto, melhorias e correções do CrewAI"
 icon: "clock"
 mode: "wide"
 ---
-<Update label="01 mai 2026">
-  ## v1.14.5a1
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.5a1)
-
-  ## O que Mudou
-
-  ### Recursos
-  - Adicionar parâmetro de início `restore_from_state_id`
-  - Adicionar destaques ao ExaSearchTool e renomear de EXASearchTool
-
-  ### Correções de Bugs
-  - Corrigir sites de pinos do crewai ausentes no fluxo de lançamento
-  - Garantir eventos de carregamento de habilidades para rastros
-
-  ### Documentação
-  - Atualizar changelog e versão para v1.14.4
-
-  ## Contribuidores
-
-  @akaKuruma, @github-actions[bot], @greysonlalonde, @lorenzejay, @theishangoswami
-
-</Update>
-
-<Update label="01 mai 2026">
-  ## v1.14.4
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.4)
-
-  ## O que mudou
-
-  ### Recursos
-  - Adicionar suporte para chave de persistência personalizada em @persist
-  - Adicionar suporte à API de Respostas para o provedor Azure OpenAI
-  - Encaminhar credential_scopes para o cliente de Inferência da Azure AI
-  - Adicionar guia de configuração de identidade de carga de trabalho do Vertex AI
-  - Adicionar Tavily Research e obter Pesquisa
-  - Adicionar ferramentas MCP do You.com para pesquisa, pesquisa e extração de conteúdo
-
-  ### Correções de Bugs
-  - Corrigir falha quando a correspondência de regex JSON não é um JSON válido
-  - Corrigir para preservar tool_calls quando a resposta também contém texto
-  - Corrigir para encaminhar base_url e api_key para instructor.from_provider
-  - Corrigir para avisar e retornar vazio quando o servidor MCP nativo não retorna ferramentas
-  - Corrigir para usar a variável de mensagens validadas em manipuladores não-streaming
-  - Corrigir para proteger os ajudantes de descrição do chat da equipe contra falhas do LLM
-  - Corrigir para redefinir mensagens e iterações entre invocações
-  - Corrigir para encaminhar o arquivo de agentes treinados através de replay e teste
-  - Corrigir para honrar o arquivo de agentes treinados personalizados na inferência
-  - Corrigir para vincular agentes apenas de tarefa à equipe para arquivos de entrada multimodal
-  - Corrigir para serializar chamadas de guardrail como nulas para checkpointing JSON
-  - Corrigir renomeação de force_final_answer para evitar roteador autorreferencial
-  - Corrigir aumento de litellm para correção de SSTI; ignorar CVE pip não corrigível
-
-  ### Documentação
-  - Atualizar changelog e versão para v1.14.4a1
-  - Adicionar página de Ferramentas do Sandbox E2B
-  - Adicionar documentação de ferramentas do sandbox Daytona
-
-  ## Contributors
-
-  @EdwardIrby, @dependabot[bot], @factory-droid-oss, @factory-droid[bot], @greysonlalonde, @kunalk16, @lorenzejay, @lucasgomide, @manisrinivasan2k1, @mattatcha, @vinibrsl
-
-</Update>
-
-<Update label="29 abr 2026">
-  ## v1.14.4a1
-
-  [Ver release no GitHub](https://github.com/crewAIInc/crewAI/releases/tag/1.14.4a1)
-
-  ## O que Mudou
-
-  ### Correções de Bugs
-  - Corrigir os ajudantes de descrição do chat da equipe contra falhas do LLM.
-  - Redefinir mensagens e iterações entre invocações no executor.
-  - Encaminhar arquivo de agentes treinados através de replay e teste no CLI.
-  - Respeitar arquivo de agentes treinados personalizados na inferência no agente.
-  - Vincular agentes apenas de tarefa à equipe para garantir que os input_files multimodais cheguem ao LLM.
-  - Serializar chamadas de guardrail como nulas para checkpointing JSON.
-  - Renomear `force_final_answer` no agent_executor para evitar roteador autorreferencial.
-  - Atualizar `litellm` para correção de SSTI e ignorar CVE pip não corrigível.
-
-  ### Documentação
-  - Adicionar página de Ferramentas de Sandbox E2B.
-  - Adicionar documentação de ferramentas de sandbox Daytona.
-  - Adicionar guia de configuração de identidade de carga de trabalho do Vertex AI.
-  - Adicionar ferramentas MCP do You.com para pesquisa, investigação e extração de conteúdo.
-  - Atualizar changelog e versão para v1.14.3.
-
-  ## Contribuidores
-
-  @EdwardIrby, @dependabot[bot], @factory-droid-oss, @factory-droid[bot], @greysonlalonde, @lorenzejay, @manisrinivasan2k1, @mattatcha
-
-</Update>
-
 <Update label="25 abr 2026">
  ## v1.14.3

--- a/docs/pt-BR/concepts/flows.mdx
+++ b/docs/pt-BR/concepts/flows.mdx
@@ -193,42 +193,6 @@ Para um controle mais granular, você pode aplicar @persist em métodos específ
 # (O código não é traduzido)
 ```

-### Forking de Estado Persistido
-
-`@persist` suporta dois modos distintos de hidratação em `kickoff` / `kickoff_async`:
-
- `kickoff(inputs={"id": <uuid>})` — **resume**: carrega o snapshot mais recente do UUID informado e continua escrevendo sob o mesmo `flow_uuid`. O histórico se estende.
- `kickoff(restore_from_state_id=<uuid>)` — **fork**: carrega o snapshot mais recente do UUID informado, hidrata o estado da nova execução a partir dele, e atribui um novo `state.id` (auto-gerado, ou `inputs["id"]` se fixado). As escritas do `@persist` da nova execução vão para o novo `state.id`; o histórico do flow de origem é preservado.
-
-```python
-from crewai.flow.flow import Flow, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    id: str = ""
-    counter: int = 0
-
-@persist
-class CounterFlow(Flow[CounterState]):
-    @start()
-    def step(self):
-        self.state.counter += 1
-        print(f"[id={self.state.id}] counter={self.state.counter}")
-
-# Execução 1: estado novo, counter 0 -> 1, persistido sob flow_1.state.id
-flow_1 = CounterFlow()
-flow_1.kickoff()
-
-# Fork: hidrata do snapshot mais recente de flow_1, mas usa um state.id NOVO
-flow_2 = CounterFlow()
-flow_2.kickoff(restore_from_state_id=flow_1.state.id)
-# flow_2.state.counter começa em 1 (hidratado), e step() incrementa para 2.
-# flow_2.state.id != flow_1.state.id; o histórico de flow_1 não é alterado.
-```
-
-Se o `restore_from_state_id` informado não corresponder a nenhum estado persistido, o kickoff retorna silenciosamente ao comportamento padrão — o mesmo comportamento do `inputs["id"]` quando não encontrado. Combinar `restore_from_state_id` com `from_checkpoint` lança um `ValueError`; escolha uma única fonte de hidratação. Fixar `inputs["id"]` durante o fork compartilha uma chave de persistência com outro flow — geralmente você quer apenas `restore_from_state_id`.
-
 ### Como Funciona

 1. **Identificação Única do Estado**
--- a/docs/pt-BR/concepts/production-architecture.mdx
+++ b/docs/pt-BR/concepts/production-architecture.mdx
@@ -146,14 +146,6 @@ class ProductionFlow(Flow[AppState]):
    # ...
 ```

-Por padrão, `@persist` retoma um flow quando `kickoff(inputs={"id": <uuid>})` é informado, estendendo o mesmo histórico do `flow_uuid`. Para **forkar** um flow persistido em uma nova linhagem — hidratar o estado a partir de uma execução anterior mas escrever sob um novo `state.id` — passe `restore_from_state_id`:
-
-```python
-flow.kickoff(restore_from_state_id="<previous-run-state-id>")
-```
-
-A nova execução recebe um novo `state.id` (auto-gerado, ou `inputs["id"]` se fixado), então suas escritas do `@persist` não estendem o histórico da origem. Combinar com `from_checkpoint` lança um `ValueError`; escolha uma única fonte de hidratação.
-
 ## Resumo

 - **Comece com um Flow.**
--- a/docs/pt-BR/concepts/tools.mdx
+++ b/docs/pt-BR/concepts/tools.mdx
@@ -133,7 +133,7 @@ Aqui está uma lista das ferramentas disponíveis e suas descrições:
 | **DirectorySearchTool**          | Ferramenta RAG para busca em diretórios, útil para navegação em sistemas de arquivos.                |
 | **DOCXSearchTool**               | Ferramenta RAG voltada para busca em documentos DOCX, ideal para processar arquivos Word.            |
 | **DirectoryReadTool**            | Facilita a leitura e processamento de estruturas de diretórios e seus conteúdos.                     |
-| **ExaSearchTool**                | Ferramenta projetada para buscas exaustivas em diversas fontes de dados.                             |
+| **EXASearchTool**                | Ferramenta projetada para buscas exaustivas em diversas fontes de dados.                             |
 | **FileReadTool**                 | Permite a leitura e extração de dados de arquivos, suportando diversos formatos.                     |
 | **FirecrawlSearchTool**          | Ferramenta para buscar páginas web usando Firecrawl e retornar os resultados.                        |
 | **FirecrawlCrawlWebsiteTool**    | Ferramenta para rastrear páginas web utilizando o Firecrawl.                                         |
--- a/docs/pt-BR/guides/flows/mastering-flow-state.mdx
+++ b/docs/pt-BR/guides/flows/mastering-flow-state.mdx
@@ -167,48 +167,6 @@ Para mais controle, você pode aplicar `@persist()` em métodos específicos:
 # código não traduzido
 ```

-#### Forking de Estado Persistido
-
-`@persist` suporta dois modos distintos de hidratação em `kickoff` / `kickoff_async`. Use **resume** (`inputs["id"]`) para continuar a mesma linhagem; use **fork** (`restore_from_state_id`) para iniciar uma nova linhagem a partir de um snapshot:
-
-| | `state.id` após o kickoff | Escritas do `@persist` vão para |
-|---|---|---|
-| `inputs["id"]` (resume) | id informado | id informado (estende o histórico) |
-| `restore_from_state_id` (fork) | id novo, ou `inputs["id"]` se fixado | id novo (origem preservada) |
-
-```python
-from crewai.flow.flow import Flow, start
-from crewai.flow.persistence import persist
-from pydantic import BaseModel
-
-class CounterState(BaseModel):
-    id: str = ""
-    counter: int = 0
-
-@persist
-class CounterFlow(Flow[CounterState]):
-    @start()
-    def step(self):
-        self.state.counter += 1
-
-# Execução 1: estado novo, counter 0 -> 1
-flow_1 = CounterFlow()
-flow_1.kickoff()
-
-# Fork: hidrata do snapshot mais recente de flow_1, mas escreve sob um state.id NOVO
-flow_2 = CounterFlow()
-flow_2.kickoff(restore_from_state_id=flow_1.state.id)
-# flow_2 começa com counter=1 (hidratado), e step() incrementa para 2.
-# O histórico do flow_uuid de flow_1 não é alterado.
-```
-
-Notas sobre o comportamento:
-
- `restore_from_state_id` não encontrado na persistência → o kickoff retorna silenciosamente ao comportamento padrão (espelha o comportamento de `inputs["id"]` quando não encontrado). Nenhuma exceção é lançada.
- Combinar `restore_from_state_id` com `from_checkpoint` lança um `ValueError` — eles miram sistemas de estado diferentes (`@persist` vs. Checkpointing) e não podem ser combinados.
- `restore_from_state_id=None` (padrão) é byte-idêntico a um kickoff sem o parâmetro.
- Fixar `inputs["id"]` durante o fork significa que a nova execução compartilha uma chave de persistência com outro flow — geralmente você quer apenas `restore_from_state_id`.
-
 ## Padrões Avançados de Estado

 ### Lógica Condicional Baseada no Estado
--- a/docs/pt-BR/tools/ai-ml/daytona.mdx
+++ b/docs/pt-BR/tools/ai-ml/daytona.mdx
@@ -1,180 +0,0 @@
---
-title: Daytona Sandbox Tools
-description: Run shell commands, execute Python, and manage files inside isolated [Daytona](https://www.daytona.io/) sandboxes.
-icon: box
-mode: "wide"
---
-
-# Daytona Sandbox Tools
-
-## Description
-
-The Daytona sandbox tools give CrewAI agents access to isolated, ephemeral compute environments powered by [Daytona](https://www.daytona.io/). Three tools are available so you can give an agent exactly the capabilities it needs:
-
- **`DaytonaExecTool`** — run any shell command inside a sandbox.
- **`DaytonaPythonTool`** — execute a block of Python source code inside a sandbox.
- **`DaytonaFileTool`** — read, write, append, list, delete, and inspect files inside a sandbox.
-
-All three tools share the same sandbox lifecycle controls, so you can mix and match them while keeping state in a single persistent sandbox.
-
-## Installation
-
-```shell
-uv add "crewai-tools[daytona]"
-# or
-pip install "crewai-tools[daytona]"
-```
-
-Set your API key:
-
-```shell
-export DAYTONA_API_KEY="your-api-key"
-```
-
-`DAYTONA_API_URL` and `DAYTONA_TARGET` are also respected if set.
-
-## Sandbox Lifecycle
-
-All three tools inherit lifecycle controls from `DaytonaBaseTool`:
-
-| Mode | How to enable | Sandbox created | Sandbox deleted |
-|------|--------------|-----------------|-----------------|
-| **Ephemeral** (default) | `persistent=False` (default) | On every `_run` call | At the end of that same call |
-| **Persistent** | `persistent=True` | Lazily on first use | At process exit (via `atexit`), or manually via `tool.close()` |
-| **Attach** | `sandbox_id="<id>"` | Never — attaches to an existing sandbox | Never — the tool will not delete a sandbox it did not create |
-
-Ephemeral mode is the safe default: nothing leaks if the agent forgets to clean up. Use persistent mode when you want filesystem state or installed packages to carry across multiple tool calls — this is typical when pairing `DaytonaFileTool` with `DaytonaExecTool`.
-
-## Examples
-
-### One-shot Python execution (ephemeral)
-
-```python Code
-from crewai_tools import DaytonaPythonTool
-
-tool = DaytonaPythonTool()
-result = tool.run(code="print(sum(range(10)))")
-print(result)
-# {"exit_code": 0, "result": "45\n", "artifacts": None}
-```
-
-### Multi-step shell session (persistent)
-
-```python Code
-from crewai_tools import DaytonaExecTool, DaytonaFileTool
-
-exec_tool = DaytonaExecTool(persistent=True)
-file_tool = DaytonaFileTool(persistent=True)
-
-# Install a package, then write and run a script — all in the same sandbox
-exec_tool.run(command="pip install httpx -q")
-file_tool.run(action="write", path="/workspace/fetch.py", content="import httpx; print(httpx.get('https://httpbin.org/get').status_code)")
-exec_tool.run(command="python /workspace/fetch.py")
-```
-
-<Note>
-Each tool instance maintains its own persistent sandbox. To share **one** sandbox across two tools, create the first tool, grab its sandbox id via `tool._persistent_sandbox.id`, and pass it to the second tool via `sandbox_id=...`.
-</Note>
-
-### Attach to an existing sandbox
-
-```python Code
-from crewai_tools import DaytonaExecTool
-
-tool = DaytonaExecTool(sandbox_id="my-long-lived-sandbox")
-result = tool.run(command="ls /workspace")
-```
-
-### Custom sandbox parameters
-
-Pass Daytona's `CreateSandboxFromSnapshotParams` kwargs via `create_params`:
-
-```python Code
-from crewai_tools import DaytonaExecTool
-
-tool = DaytonaExecTool(
-    persistent=True,
-    create_params={
-        "language": "python",
-        "env_vars": {"MY_FLAG": "1"},
-        "labels": {"owner": "crewai-agent"},
-    },
-)
-```
-
-### Agent integration
-
-```python Code
-from crewai import Agent, Task, Crew
-from crewai_tools import DaytonaExecTool, DaytonaPythonTool, DaytonaFileTool
-
-exec_tool = DaytonaExecTool(persistent=True)
-python_tool = DaytonaPythonTool(persistent=True)
-file_tool = DaytonaFileTool(persistent=True)
-
-coder = Agent(
-    role="Sandbox Engineer",
-    goal="Write and run code in an isolated environment",
-    backstory="An engineer who uses Daytona sandboxes to safely execute code and manage files.",
-    tools=[exec_tool, python_tool, file_tool],
-    verbose=True,
-)
-
-task = Task(
-    description="Write a Python script that prints the first 10 Fibonacci numbers, save it to /workspace/fib.py, and run it.",
-    expected_output="The first 10 Fibonacci numbers printed to stdout.",
-    agent=coder,
-)
-
-crew = Crew(agents=[coder], tasks=[task])
-result = crew.kickoff()
-```
-
-## Parameters
-
-### Shared (`DaytonaBaseTool`)
-
-All three tools accept these parameters at initialization:
-
-| Parameter | Type | Default | Description |
-|-----------|------|---------|-------------|
-| `api_key` | `str \| None` | `$DAYTONA_API_KEY` | Daytona API key. Falls back to the `DAYTONA_API_KEY` env var. |
-| `api_url` | `str \| None` | `$DAYTONA_API_URL` | Daytona API URL override. |
-| `target` | `str \| None` | `$DAYTONA_TARGET` | Daytona target region. |
-| `persistent` | `bool` | `False` | Reuse one sandbox across all calls and delete it at process exit. |
-| `sandbox_id` | `str \| None` | `None` | Attach to an existing sandbox by id or name. |
-| `create_params` | `dict \| None` | `None` | Extra kwargs forwarded to `CreateSandboxFromSnapshotParams` (e.g. `language`, `env_vars`, `labels`). |
-| `sandbox_timeout` | `float` | `60.0` | Timeout in seconds for sandbox create/delete operations. |
-
-### `DaytonaExecTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `command` | `str` | ✓ | Shell command to execute. |
-| `cwd` | `str \| None` | | Working directory inside the sandbox. |
-| `env` | `dict[str, str] \| None` | | Extra environment variables for this command. |
-| `timeout` | `int \| None` | | Maximum seconds to wait for the command. |
-
-### `DaytonaPythonTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `code` | `str` | ✓ | Python source code to execute. |
-| `argv` | `list[str] \| None` | | Argument vector forwarded via `CodeRunParams`. |
-| `env` | `dict[str, str] \| None` | | Environment variables forwarded via `CodeRunParams`. |
-| `timeout` | `int \| None` | | Maximum seconds to wait for execution. |
-
-### `DaytonaFileTool`
-
-| Parameter | Type | Required | Description |
-|-----------|------|----------|-------------|
-| `action` | `str` | ✓ | One of: `read`, `write`, `append`, `list`, `delete`, `mkdir`, `info`. |
-| `path` | `str` | ✓ | Absolute path inside the sandbox. |
-| `content` | `str \| None` | | Content to write or append. Required for `append`. |
-| `binary` | `bool` | | If `True`, `content` is base64 on write; returns base64 on read. |
-| `recursive` | `bool` | | For `delete`: remove directories recursively. |
-| `mode` | `str` | | For `mkdir`: octal permission string (default `"0755"`). |
-
-<Tip>
-For files larger than a few KB, create the file first with `action="write"` and empty content, then send the body via multiple `action="append"` calls of ~4 KB each to stay within tool-call payload limits.
-</Tip>
--- a/docs/pt-BR/tools/search-research/exasearchtool.mdx
+++ b/docs/pt-BR/tools/search-research/exasearchtool.mdx
@@ -1,15 +1,15 @@
 ---
 title: Carregador Web EXA Search
-description: O `ExaSearchTool` foi projetado para realizar uma busca semântica para uma consulta especificada a partir do conteúdo de um texto em toda a internet.
+description: O `EXASearchTool` foi projetado para realizar uma busca semântica para uma consulta especificada a partir do conteúdo de um texto em toda a internet.
 icon: globe-pointer
 mode: "wide"
 ---

-# `ExaSearchTool`
+# `EXASearchTool`

 ## Descrição

-O ExaSearchTool foi projetado para realizar uma busca semântica para uma consulta especificada a partir do conteúdo de um texto em toda a internet.
+O EXASearchTool foi projetado para realizar uma busca semântica para uma consulta especificada a partir do conteúdo de um texto em toda a internet.
 Ele utiliza a API da [exa.ai](https://exa.ai/) para buscar e exibir os resultados de pesquisa mais relevantes com base na consulta fornecida pelo usuário.

 ## Instalação
@@ -25,15 +25,15 @@ pip install 'crewai[tools]'
 O exemplo a seguir demonstra como inicializar a ferramenta e executar uma busca com uma consulta determinada:

 ```python Code
-from crewai_tools import ExaSearchTool
+from crewai_tools import EXASearchTool

 # Initialize the tool for internet searching capabilities
-tool = ExaSearchTool()
+tool = EXASearchTool()
 ```

 ## Etapas para Começar

-Para usar o ExaSearchTool de forma eficaz, siga estas etapas:
+Para usar o EXASearchTool de forma eficaz, siga estas etapas:

 <Steps>
    <Step title="Instalação do Pacote">
@@ -47,35 +47,7 @@ Para usar o ExaSearchTool de forma eficaz, siga estas etapas:
    </Step>
 </Steps>

-## Usando o Exa via MCP
-
-Você também pode conectar seu agente ao servidor MCP hospedado pelo Exa. Passe sua chave de API no cabeçalho `x-api-key`:
-
-```python
-from crewai import Agent
-from crewai.mcp import MCPServerHTTP
-
-agent = Agent(
-    role="Research Analyst",
-    goal="Find and analyze information on the web",
-    backstory="Expert researcher with access to Exa's tools",
-    mcps=[
-        MCPServerHTTP(
-            url="https://mcp.exa.ai/mcp",
-            headers={"x-api-key": "YOUR_EXA_API_KEY"},
-        ),
-    ],
-)
-```
-
-Obtenha sua chave de API no [painel da Exa](https://dashboard.exa.ai/api-keys). Para mais informações sobre MCP no CrewAI, consulte a [visão geral do MCP](/pt-BR/mcp/overview).
-
 ## Conclusão

-Ao integrar o `ExaSearchTool` em projetos Python, os usuários ganham a capacidade de realizar buscas relevantes e em tempo real pela internet diretamente de suas aplicações.
-Seguindo as orientações de configuração e uso fornecidas, a incorporação desta ferramenta em projetos torna-se simples e direta.
-
-## Recursos
-
- [Documentação do Exa](https://exa.ai/docs)
- [Painel do Exa — gerenciar chaves de API e uso](https://dashboard.exa.ai)
+Ao integrar o `EXASearchTool` em projetos Python, os usuários ganham a capacidade de realizar buscas relevantes e em tempo real pela internet diretamente de suas aplicações.
+Seguindo as orientações de configuração e uso fornecidas, a incorporação desta ferramenta em projetos torna-se simples e direta.
--- a/lib/crewai-a2a/README.md
+++ b/lib/crewai-a2a/README.md
--- a/lib/crewai-a2a/pyproject.toml
+++ b/lib/crewai-a2a/pyproject.toml
@@ -0,0 +1,22 @@
+[project]
+name = "crewai-a2a"
+dynamic = ["version"]
+description = "Agent-to-Agent (A2A) protocol support for CrewAI"
+readme = "README.md"
+authors = [
+    { name = "Greyson LaLonde", email = "greyson@crewai.com" }
+]
+requires-python = ">=3.10, <3.14"
+dependencies = [
+    "a2a-sdk~=0.3.10",
+    "httpx-auth~=0.23.1",
+    "httpx-sse~=0.4.0",
+    "aiocache[redis,memcached]~=0.12.3",
+]
+
+[build-system]
+requires = ["hatchling"]
+build-backend = "hatchling.build"
+
+[tool.hatch.version]
+path = "src/crewai_a2a/__init__.py"
--- a/lib/crewai-a2a/src/crewai_a2a/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/init.py
@@ -0,0 +1,13 @@
+"""Agent-to-Agent (A2A) protocol communication module for CrewAI."""
+
+__version__ = "1.14.2a3"
+
+from crewai_a2a.config import A2AClientConfig, A2AConfig, A2AServerConfig
+
+
+__all__ = [
+    "A2AClientConfig",
+    "A2AConfig",
+    "A2AServerConfig",
+    "__version__",
+]
--- a/lib/crewai-a2a/src/crewai_a2a/auth/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/auth/init.py
@@ -1,6 +1,6 @@
 """A2A authentication schemas."""

-from crewai.a2a.auth.client_schemes import (
+from crewai_a2a.auth.client_schemes import (
    APIKeyAuth,
    AuthScheme,
    BearerTokenAuth,
@@ -11,7 +11,7 @@ from crewai.a2a.auth.client_schemes import (
    OAuth2ClientCredentials,
    TLSConfig,
 )
-from crewai.a2a.auth.server_schemes import (
+from crewai_a2a.auth.server_schemes import (
    AuthenticatedUser,
    EnterpriseTokenAuth,
    OIDCAuth,
--- a/lib/crewai-a2a/src/crewai_a2a/auth/client_schemes.py
+++ b/lib/crewai-a2a/src/crewai_a2a/auth/client_schemes.py
--- a/lib/crewai-a2a/src/crewai_a2a/auth/schemas.py
+++ b/lib/crewai-a2a/src/crewai_a2a/auth/schemas.py
@@ -0,0 +1,71 @@
+"""Deprecated: Authentication schemes for A2A protocol agents.
+
+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 typing_extensions import deprecated
+
+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,
+)
+
+
+@deprecated("Use ClientAuthScheme from crewai_a2a.auth instead", category=FutureWarning)
+class AuthScheme(_ClientAuthScheme):
+    """Deprecated: Use ClientAuthScheme from crewai_a2a.auth instead."""
+
+
+@deprecated("Import from crewai_a2a.auth instead", category=FutureWarning)
+class BearerTokenAuth(_BearerTokenAuth):
+    """Deprecated: Import from crewai_a2a.auth instead."""
+
+
+@deprecated("Import from crewai_a2a.auth instead", category=FutureWarning)
+class HTTPBasicAuth(_HTTPBasicAuth):
+    """Deprecated: Import from crewai_a2a.auth instead."""
+
+
+@deprecated("Import from crewai_a2a.auth instead", category=FutureWarning)
+class HTTPDigestAuth(_HTTPDigestAuth):
+    """Deprecated: Import from crewai_a2a.auth instead."""
+
+
+@deprecated("Import from crewai_a2a.auth instead", category=FutureWarning)
+class APIKeyAuth(_APIKeyAuth):
+    """Deprecated: Import from crewai_a2a.auth instead."""
+
+
+@deprecated("Import from crewai_a2a.auth instead", category=FutureWarning)
+class OAuth2ClientCredentials(_OAuth2ClientCredentials):
+    """Deprecated: Import from crewai_a2a.auth instead."""
+
+
+@deprecated("Import from crewai_a2a.auth instead", category=FutureWarning)
+class OAuth2AuthorizationCode(_OAuth2AuthorizationCode):
+    """Deprecated: Import from crewai_a2a.auth instead."""
+
+
+__all__ = [
+    "APIKeyAuth",
+    "AuthScheme",
+    "BearerTokenAuth",
+    "HTTPBasicAuth",
+    "HTTPDigestAuth",
+    "OAuth2AuthorizationCode",
+    "OAuth2ClientCredentials",
+]
--- a/lib/crewai-a2a/src/crewai_a2a/auth/server_schemes.py
+++ b/lib/crewai-a2a/src/crewai_a2a/auth/server_schemes.py
--- a/lib/crewai-a2a/src/crewai_a2a/auth/utils.py
+++ b/lib/crewai-a2a/src/crewai_a2a/auth/utils.py
@@ -20,7 +20,7 @@ from a2a.types import (
 )
 from httpx import AsyncClient, Response

-from crewai.a2a.auth.client_schemes import (
+from crewai_a2a.auth.client_schemes import (
    APIKeyAuth,
    BearerTokenAuth,
    ClientAuthScheme,
--- a/lib/crewai-a2a/src/crewai_a2a/config.py
+++ b/lib/crewai-a2a/src/crewai_a2a/config.py
@@ -20,10 +20,10 @@ from pydantic import (
 )
 from typing_extensions import Self, deprecated

-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
+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:
@@ -36,8 +36,8 @@ try:
        SecurityScheme,
    )

-    from crewai.a2a.extensions.server import ServerExtension
-    from crewai.a2a.updates import UpdateConfig
+    from crewai_a2a.extensions.server import ServerExtension
+    from crewai_a2a.updates import UpdateConfig
 except ImportError:
    UpdateConfig: Any = Any  # type: ignore[no-redef]
    AgentCapabilities: Any = Any  # type: ignore[no-redef]
@@ -50,7 +50,7 @@ except ImportError:


 def _get_default_update_config() -> UpdateConfig:
-    from crewai.a2a.updates import StreamingConfig
+    from crewai_a2a.updates import StreamingConfig

    return StreamingConfig()

@@ -360,8 +360,8 @@ class ClientTransportConfig(BaseModel):

@deprecated(
    """
-    `crewai.a2a.config.A2AConfig` is deprecated and will be removed in v2.0.0,
-    use `crewai.a2a.config.A2AClientConfig` or `crewai.a2a.config.A2AServerConfig` instead.
+    `crewai_a2a.config.A2AConfig` is deprecated and will be removed in v2.0.0,
+    use `crewai_a2a.config.A2AClientConfig` or `crewai_a2a.config.A2AServerConfig` instead.
    """,
    category=FutureWarning,
 )
--- a/lib/crewai-a2a/src/crewai_a2a/errors.py
+++ b/lib/crewai-a2a/src/crewai_a2a/errors.py
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/init.py
@@ -13,13 +13,13 @@ via the X-A2A-Extensions header.
 See: https://a2a-protocol.org/latest/topics/extensions/
 """

-from crewai.a2a.extensions.base import (
+from crewai_a2a.extensions.base import (
    A2AExtension,
    ConversationState,
    ExtensionRegistry,
    ValidatedA2AExtension,
 )
-from crewai.a2a.extensions.server import (
+from crewai_a2a.extensions.server import (
    ExtensionContext,
    ServerExtension,
    ServerExtensionRegistry,
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/init.py
@@ -1,6 +1,6 @@
 """A2UI (Agent to UI) declarative UI protocol support for CrewAI."""

-from crewai.a2a.extensions.a2ui.catalog import (
+from crewai_a2a.extensions.a2ui.catalog import (
    AudioPlayer,
    Button,
    Card,
@@ -20,8 +20,8 @@ from crewai.a2a.extensions.a2ui.catalog import (
    TextField,
    Video,
 )
-from crewai.a2a.extensions.a2ui.client_extension import A2UIClientExtension
-from crewai.a2a.extensions.a2ui.models import (
+from crewai_a2a.extensions.a2ui.client_extension import A2UIClientExtension
+from crewai_a2a.extensions.a2ui.models import (
    A2UIEvent,
    A2UIMessage,
    A2UIResponse,
@@ -31,13 +31,13 @@ from crewai.a2a.extensions.a2ui.models import (
    SurfaceUpdate,
    UserAction,
 )
-from crewai.a2a.extensions.a2ui.server_extension import (
+from crewai_a2a.extensions.a2ui.server_extension import (
    A2UI_STANDARD_CATALOG_ID,
    A2UI_V09_BASIC_CATALOG_ID,
    A2UI_V09_EXTENSION_URI,
    A2UIServerExtension,
 )
-from crewai.a2a.extensions.a2ui.v0_9 import (
+from crewai_a2a.extensions.a2ui.v0_9 import (
    A2UIEventV09,
    A2UIMessageV09,
    ActionEvent,
@@ -68,7 +68,7 @@ from crewai.a2a.extensions.a2ui.v0_9 import (
    UpdateDataModel,
    VideoV09,
 )
-from crewai.a2a.extensions.a2ui.validator import (
+from crewai_a2a.extensions.a2ui.validator import (
    validate_a2ui_event,
    validate_a2ui_event_v09,
    validate_a2ui_message,
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/catalog.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/catalog.py
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/client_extension.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/client_extension.py
@@ -10,18 +10,18 @@ from pydantic import Field
 from pydantic.dataclasses import dataclass
 from typing_extensions import TypeIs, TypedDict

-from crewai.a2a.extensions.a2ui.models import extract_a2ui_json_objects
-from crewai.a2a.extensions.a2ui.prompt import (
+from crewai_a2a.extensions.a2ui.models import extract_a2ui_json_objects
+from crewai_a2a.extensions.a2ui.prompt import (
    build_a2ui_system_prompt,
    build_a2ui_v09_system_prompt,
 )
-from crewai.a2a.extensions.a2ui.server_extension import (
+from crewai_a2a.extensions.a2ui.server_extension import (
    A2UI_MIME_TYPE,
    A2UI_STANDARD_CATALOG_ID,
    A2UI_V09_BASIC_CATALOG_ID,
 )
-from crewai.a2a.extensions.a2ui.v0_9 import extract_a2ui_v09_json_objects
-from crewai.a2a.extensions.a2ui.validator import (
+from crewai_a2a.extensions.a2ui.v0_9 import extract_a2ui_v09_json_objects
+from crewai_a2a.extensions.a2ui.validator import (
    A2UIValidationError,
    validate_a2ui_message,
    validate_a2ui_message_v09,
@@ -30,7 +30,6 @@ from crewai.a2a.extensions.a2ui.validator import (

 if TYPE_CHECKING:
    from a2a.types import Message
-
    from crewai.agent.core import Agent


--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/models.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/models.py
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/prompt.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/prompt.py
@@ -4,13 +4,13 @@ from __future__ import annotations

 import json

-from crewai.a2a.extensions.a2ui.catalog import STANDARD_CATALOG_COMPONENTS
-from crewai.a2a.extensions.a2ui.schema import load_schema
-from crewai.a2a.extensions.a2ui.server_extension import (
+from crewai_a2a.extensions.a2ui.catalog import STANDARD_CATALOG_COMPONENTS
+from crewai_a2a.extensions.a2ui.schema import load_schema
+from crewai_a2a.extensions.a2ui.server_extension import (
    A2UI_EXTENSION_URI,
    A2UI_V09_BASIC_CATALOG_ID,
 )
-from crewai.a2a.extensions.a2ui.v0_9 import (
+from crewai_a2a.extensions.a2ui.v0_9 import (
    BASIC_CATALOG_COMPONENTS as V09_CATALOG_COMPONENTS,
    BASIC_CATALOG_FUNCTIONS,
 )
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/init.py
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_8/client_to_server.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_8/client_to_server.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_8/server_to_client.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_8/server_to_client.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_8/server_to_client_with_standard_catalog.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_8/server_to_client_with_standard_catalog.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_8/standard_catalog_definition.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_8/standard_catalog_definition.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/basic_catalog.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/basic_catalog.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/client_capabilities.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/client_capabilities.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/client_data_model.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/client_data_model.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/client_to_server.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/client_to_server.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/common_types.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/common_types.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/server_capabilities.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/server_capabilities.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/server_to_client.json
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/schema/v0_9/server_to_client.json
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/server_extension.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/server_extension.py
@@ -5,16 +5,16 @@ from __future__ import annotations
 import logging
 from typing import Any

-from crewai.a2a.extensions.a2ui.models import A2UIResponse, extract_a2ui_json_objects
-from crewai.a2a.extensions.a2ui.v0_9 import (
+from crewai_a2a.extensions.a2ui.models import A2UIResponse, extract_a2ui_json_objects
+from crewai_a2a.extensions.a2ui.v0_9 import (
    extract_a2ui_v09_json_objects,
 )
-from crewai.a2a.extensions.a2ui.validator import (
+from crewai_a2a.extensions.a2ui.validator import (
    A2UIValidationError,
    validate_a2ui_message,
    validate_a2ui_message_v09,
 )
-from crewai.a2a.extensions.server import ExtensionContext, ServerExtension
+from crewai_a2a.extensions.server import ExtensionContext, ServerExtension


 logger = logging.getLogger(__name__)
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/v0_9.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/v0_9.py
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/validator.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/a2ui/validator.py
@@ -6,7 +6,7 @@ from typing import Any

 from pydantic import BaseModel, ValidationError

-from crewai.a2a.extensions.a2ui.catalog import (
+from crewai_a2a.extensions.a2ui.catalog import (
    AudioPlayer,
    Button,
    Card,
@@ -26,8 +26,8 @@ from crewai.a2a.extensions.a2ui.catalog import (
    TextField,
    Video,
 )
-from crewai.a2a.extensions.a2ui.models import A2UIEvent, A2UIMessage
-from crewai.a2a.extensions.a2ui.v0_9 import (
+from crewai_a2a.extensions.a2ui.models import A2UIEvent, A2UIMessage
+from crewai_a2a.extensions.a2ui.v0_9 import (
    A2UIEventV09,
    A2UIMessageV09,
    AudioPlayerV09,
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/base.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/base.py
@@ -19,7 +19,6 @@ from pydantic import BeforeValidator

 if TYPE_CHECKING:
    from a2a.types import Message
-
    from crewai.agent.core import Agent


--- a/lib/crewai-a2a/src/crewai_a2a/extensions/registry.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/registry.py
@@ -18,8 +18,8 @@ from a2a.extensions.common import (
 )
 from a2a.types import AgentCard, AgentExtension

-from crewai.a2a.config import A2AClientConfig, A2AConfig
-from crewai.a2a.extensions.base import ExtensionRegistry
+from crewai_a2a.config import A2AClientConfig, A2AConfig
+from crewai_a2a.extensions.base import ExtensionRegistry


 def get_extensions_from_config(
--- a/lib/crewai-a2a/src/crewai_a2a/extensions/server.py
+++ b/lib/crewai-a2a/src/crewai_a2a/extensions/server.py
--- a/lib/crewai-a2a/src/crewai_a2a/py.typed
+++ b/lib/crewai-a2a/src/crewai_a2a/py.typed
--- a/lib/crewai-a2a/src/crewai_a2a/task_helpers.py
+++ b/lib/crewai-a2a/src/crewai_a2a/task_helpers.py
@@ -18,13 +18,12 @@ from a2a.types import (
    TaskStatusUpdateEvent,
    TextPart,
 )
-from typing_extensions import NotRequired, TypedDict
-
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
    A2AConnectionErrorEvent,
    A2AResponseReceivedEvent,
 )
+from typing_extensions import NotRequired, TypedDict


 if TYPE_CHECKING:
--- a/lib/crewai-a2a/src/crewai_a2a/templates.py
+++ b/lib/crewai-a2a/src/crewai_a2a/templates.py
--- a/lib/crewai-a2a/src/crewai_a2a/types.py
+++ b/lib/crewai-a2a/src/crewai_a2a/types.py
@@ -15,7 +15,7 @@ from typing_extensions import NotRequired, TypedDict


 try:
-    from crewai.a2a.updates import (
+    from crewai_a2a.updates import (
        PollingConfig,
        PollingHandler,
        PushNotificationConfig,
--- a/lib/crewai-a2a/src/crewai_a2a/updates/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/init.py
@@ -1,6 +1,6 @@
 """A2A update mechanism configuration types."""

-from crewai.a2a.updates.base import (
+from crewai_a2a.updates.base import (
    BaseHandlerKwargs,
    PollingHandlerKwargs,
    PushNotificationHandlerKwargs,
@@ -8,12 +8,12 @@ from crewai.a2a.updates.base import (
    StreamingHandlerKwargs,
    UpdateHandler,
 )
-from crewai.a2a.updates.polling.config import PollingConfig
-from crewai.a2a.updates.polling.handler import PollingHandler
-from crewai.a2a.updates.push_notifications.config import PushNotificationConfig
-from crewai.a2a.updates.push_notifications.handler import PushNotificationHandler
-from crewai.a2a.updates.streaming.config import StreamingConfig
-from crewai.a2a.updates.streaming.handler import StreamingHandler
+from crewai_a2a.updates.polling.config import PollingConfig
+from crewai_a2a.updates.polling.handler import PollingHandler
+from crewai_a2a.updates.push_notifications.config import PushNotificationConfig
+from crewai_a2a.updates.push_notifications.handler import PushNotificationHandler
+from crewai_a2a.updates.streaming.config import StreamingConfig
+from crewai_a2a.updates.streaming.handler import StreamingHandler


 UpdateConfig = PollingConfig | StreamingConfig | PushNotificationConfig
--- a/lib/crewai-a2a/src/crewai_a2a/updates/base.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/base.py
@@ -29,8 +29,8 @@ if TYPE_CHECKING:
    from a2a.client import Client
    from a2a.types import AgentCard, Message, Task

-    from crewai.a2a.task_helpers import TaskStateResult
-    from crewai.a2a.updates.push_notifications.config import PushNotificationConfig
+    from crewai_a2a.task_helpers import TaskStateResult
+    from crewai_a2a.updates.push_notifications.config import PushNotificationConfig


 class BaseHandlerKwargs(TypedDict, total=False):
--- a/lib/crewai-a2a/src/crewai_a2a/updates/polling/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/polling/init.py
--- a/lib/crewai-a2a/src/crewai_a2a/updates/polling/config.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/polling/config.py
--- a/lib/crewai-a2a/src/crewai_a2a/updates/polling/handler.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/polling/handler.py
@@ -18,17 +18,6 @@ from a2a.types import (
    TaskState,
    TextPart,
 )
-from typing_extensions import Unpack
-
-from crewai.a2a.errors import A2APollingTimeoutError
-from crewai.a2a.task_helpers import (
-    ACTIONABLE_STATES,
-    TERMINAL_STATES,
-    TaskStateResult,
-    process_task_state,
-    send_message_and_get_task_id,
-)
-from crewai.a2a.updates.base import PollingHandlerKwargs
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
    A2AConnectionErrorEvent,
@@ -36,6 +25,17 @@ from crewai.events.types.a2a_events import (
    A2APollingStatusEvent,
    A2AResponseReceivedEvent,
 )
+from typing_extensions import Unpack
+
+from crewai_a2a.errors import A2APollingTimeoutError
+from crewai_a2a.task_helpers import (
+    ACTIONABLE_STATES,
+    TERMINAL_STATES,
+    TaskStateResult,
+    process_task_state,
+    send_message_and_get_task_id,
+)
+from crewai_a2a.updates.base import PollingHandlerKwargs


 if TYPE_CHECKING:
--- a/lib/crewai-a2a/src/crewai_a2a/updates/push_notifications/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/push_notifications/init.py
--- a/lib/crewai-a2a/src/crewai_a2a/updates/push_notifications/config.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/push_notifications/config.py
@@ -7,8 +7,8 @@ from typing import Annotated
 from a2a.types import PushNotificationAuthenticationInfo
 from pydantic import AnyHttpUrl, BaseModel, BeforeValidator, Field

-from crewai.a2a.updates.base import PushNotificationResultStore
-from crewai.a2a.updates.push_notifications.signature import WebhookSignatureConfig
+from crewai_a2a.updates.base import PushNotificationResultStore
+from crewai_a2a.updates.push_notifications.signature import WebhookSignatureConfig


 def _coerce_signature(
--- a/lib/crewai-a2a/src/crewai_a2a/updates/push_notifications/handler.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/push_notifications/handler.py
@@ -16,19 +16,6 @@ from a2a.types import (
    TaskState,
    TextPart,
 )
-from typing_extensions import Unpack
-
-from crewai.a2a.task_helpers import (
-    TaskStateResult,
-    process_task_state,
-    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 (
    A2AConnectionErrorEvent,
@@ -36,6 +23,19 @@ from crewai.events.types.a2a_events import (
    A2APushNotificationTimeoutEvent,
    A2AResponseReceivedEvent,
 )
+from typing_extensions import Unpack
+
+from crewai_a2a.task_helpers import (
+    TaskStateResult,
+    process_task_state,
+    send_message_and_get_task_id,
+)
+from crewai_a2a.updates.base import (
+    CommonParams,
+    PushNotificationHandlerKwargs,
+    PushNotificationResultStore,
+    extract_common_params,
+)


 if TYPE_CHECKING:
--- a/lib/crewai-a2a/src/crewai_a2a/updates/push_notifications/signature.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/push_notifications/signature.py
--- a/lib/crewai-a2a/src/crewai_a2a/updates/streaming/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/streaming/init.py
--- a/lib/crewai-a2a/src/crewai_a2a/updates/streaming/config.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/streaming/config.py
--- a/lib/crewai-a2a/src/crewai_a2a/updates/streaming/handler.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/streaming/handler.py
@@ -22,18 +22,6 @@ from a2a.types import (
    TaskStatusUpdateEvent,
    TextPart,
 )
-from typing_extensions import Unpack
-
-from crewai.a2a.task_helpers import (
-    ACTIONABLE_STATES,
-    TERMINAL_STATES,
-    TaskStateResult,
-    process_task_state,
-)
-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,
@@ -42,6 +30,18 @@ from crewai.events.types.a2a_events import (
    A2AStreamingChunkEvent,
    A2AStreamingStartedEvent,
 )
+from typing_extensions import Unpack
+
+from crewai_a2a.task_helpers import (
+    ACTIONABLE_STATES,
+    TERMINAL_STATES,
+    TaskStateResult,
+    process_task_state,
+)
+from crewai_a2a.updates.base import StreamingHandlerKwargs, extract_common_params
+from crewai_a2a.updates.streaming.params import (
+    process_status_update,
+)


 logger = logging.getLogger(__name__)
--- a/lib/crewai-a2a/src/crewai_a2a/updates/streaming/params.py
+++ b/lib/crewai-a2a/src/crewai_a2a/updates/streaming/params.py
--- a/lib/crewai-a2a/src/crewai_a2a/utils/init.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/init.py
--- a/lib/crewai-a2a/src/crewai_a2a/utils/agent_card.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/agent_card.py
@@ -16,15 +16,6 @@ from a2a.client.errors import A2AClientHTTPError
 from a2a.types import AgentCapabilities, AgentCard, AgentSkill
 from aiocache import cached  # type: ignore[import-untyped]
 from aiocache.serializers import PickleSerializer  # type: ignore[import-untyped]
-import httpx
-
-from crewai.a2a.auth.client_schemes import APIKeyAuth, HTTPDigestAuth
-from crewai.a2a.auth.utils import (
-    _auth_store,
-    configure_auth_client,
-    retry_on_401,
-)
-from crewai.a2a.config import A2AServerConfig
 from crewai.crew import Crew
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
@@ -32,13 +23,23 @@ from crewai.events.types.a2a_events import (
    A2AAuthenticationFailedEvent,
    A2AConnectionErrorEvent,
 )
+import httpx
+
+from crewai_a2a.auth.client_schemes import APIKeyAuth, HTTPDigestAuth
+from crewai_a2a.auth.utils import (
+    _auth_store,
+    configure_auth_client,
+    retry_on_401,
+)
+from crewai_a2a.config import A2AServerConfig


 if TYPE_CHECKING:
-    from crewai.a2a.auth.client_schemes import ClientAuthScheme
    from crewai.agent import Agent
    from crewai.task import Task

+    from crewai_a2a.auth.client_schemes import ClientAuthScheme
+

 def _get_tls_verify(auth: ClientAuthScheme | None) -> ssl.SSLContext | bool | str:
    """Get TLS verify parameter from auth scheme.
@@ -495,7 +496,7 @@ 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
+    from crewai_a2a.utils.agent_card_signing import sign_agent_card

    server_config = _get_server_config(agent) or A2AServerConfig()

@@ -529,7 +530,7 @@ def _agent_to_agent_card(agent: Agent, url: str) -> AgentCard:

    capabilities = server_config.capabilities
    if server_config.server_extensions:
-        from crewai.a2a.extensions.server import ServerExtensionRegistry
+        from crewai_a2a.extensions.server import ServerExtensionRegistry

        registry = ServerExtensionRegistry(server_config.server_extensions)
        ext_list = registry.get_agent_extensions()
--- a/lib/crewai-a2a/src/crewai_a2a/utils/agent_card_signing.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/agent_card_signing.py
@@ -5,7 +5,7 @@ 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
+    >>> 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]})
 """
--- a/lib/crewai-a2a/src/crewai_a2a/utils/content_type.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/content_type.py
@@ -10,7 +10,6 @@ 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

--- a/lib/crewai-a2a/src/crewai_a2a/utils/delegation.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/delegation.py
@@ -23,48 +23,6 @@ from a2a.types import (
    Role,
    TextPart,
 )
-import httpx
-from pydantic import BaseModel
-
-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,
-    PushNotificationConfig,
-    StreamingHandler,
-    UpdateConfig,
-)
-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,
@@ -72,6 +30,48 @@ from crewai.events.types.a2a_events import (
    A2ADelegationStartedEvent,
    A2AMessageSentEvent,
 )
+import httpx
+from pydantic import BaseModel
+
+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,
+    PushNotificationConfig,
+    StreamingHandler,
+    UpdateConfig,
+)
+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,
+)


 logger = logging.getLogger(__name__)
@@ -80,7 +80,7 @@ logger = logging.getLogger(__name__)
 if TYPE_CHECKING:
    from a2a.types import Message

-    from crewai.a2a.auth.client_schemes import ClientAuthScheme
+    from crewai_a2a.auth.client_schemes import ClientAuthScheme


 _DEFAULT_TRANSPORT: Final[TransportType] = "JSONRPC"
@@ -771,7 +771,7 @@ def _create_grpc_channel_factory(
    auth_metadata: list[tuple[str, str]] = []

    if auth is not None:
-        from crewai.a2a.auth.client_schemes import (
+        from crewai_a2a.auth.client_schemes import (
            APIKeyAuth,
            BearerTokenAuth,
            HTTPBasicAuth,
--- a/lib/crewai-a2a/src/crewai_a2a/utils/logging.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/logging.py
@@ -103,7 +103,7 @@ class LogContext:
        _log_context.reset(self._token)


-def configure_json_logging(logger_name: str = "crewai.a2a") -> None:
+def configure_json_logging(logger_name: str = "crewai_a2a") -> None:
    """Configure JSON logging for the A2A module.

    Args:
--- a/lib/crewai-a2a/src/crewai_a2a/utils/response_model.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/response_model.py
@@ -4,10 +4,10 @@ from __future__ import annotations

 from typing import TypeAlias

+from crewai.types.utils import create_literals_from_strings
 from pydantic import BaseModel, Field, create_model

-from crewai.a2a.config import A2AClientConfig, A2AConfig, A2AServerConfig
-from crewai.types.utils import create_literals_from_strings
+from crewai_a2a.config import A2AClientConfig, A2AConfig, A2AServerConfig


 A2AConfigTypes: TypeAlias = A2AConfig | A2AServerConfig | A2AClientConfig
--- a/lib/crewai-a2a/src/crewai_a2a/utils/task.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/task.py
@@ -37,11 +37,6 @@ from a2a.utils import (
 )
 from a2a.utils.errors import ServerError
 from aiocache import SimpleMemoryCache, caches  # type: ignore[import-untyped]
-from pydantic import BaseModel
-from typing_extensions import TypedDict
-
-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,
@@ -51,12 +46,18 @@ from crewai.events.types.a2a_events import (
 )
 from crewai.task import Task
 from crewai.utilities.pydantic_schema_utils import create_model_from_schema
+from pydantic import BaseModel
+from typing_extensions import TypedDict
+
+from crewai_a2a.utils.agent_card import _get_server_config
+from crewai_a2a.utils.content_type import validate_message_parts


 if TYPE_CHECKING:
-    from crewai.a2a.extensions.server import ExtensionContext, ServerExtensionRegistry
    from crewai.agent import Agent

+    from crewai_a2a.extensions.server import ExtensionContext, ServerExtensionRegistry
+

 logger = logging.getLogger(__name__)

--- a/lib/crewai-a2a/src/crewai_a2a/utils/transport.py
+++ b/lib/crewai-a2a/src/crewai_a2a/utils/transport.py
@@ -11,7 +11,6 @@ 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

--- a/lib/crewai-a2a/src/crewai_a2a/wrapper.py
+++ b/lib/crewai-a2a/src/crewai_a2a/wrapper.py
@@ -15,33 +15,6 @@ from types import MethodType
 from typing import TYPE_CHECKING, Any, NamedTuple

 from a2a.types import Role, TaskState
-from pydantic import BaseModel, ValidationError
-
-from crewai.a2a.config import A2AClientConfig, A2AConfig
-from crewai.a2a.extensions.base import (
-    A2AExtension,
-    ConversationState,
-    ExtensionRegistry,
-)
-from crewai.a2a.task_helpers import TaskStateResult
-from crewai.a2a.templates import (
-    AVAILABLE_AGENTS_TEMPLATE,
-    CONVERSATION_TURN_INFO_TEMPLATE,
-    PREVIOUS_A2A_CONVERSATION_TEMPLATE,
-    REMOTE_AGENT_RESPONSE_NOTICE,
-    UNAVAILABLE_AGENTS_NOTICE_TEMPLATE,
-)
-from crewai.a2a.types import AgentResponseProtocol
-from crewai.a2a.utils.agent_card import (
-    afetch_agent_card,
-    fetch_agent_card,
-    inject_a2a_server_methods,
-)
-from crewai.a2a.utils.delegation import (
-    aexecute_a2a_delegation,
-    execute_a2a_delegation,
-)
-from crewai.a2a.utils.response_model import get_a2a_agents_and_response_model
 from crewai.events.event_bus import crewai_event_bus
 from crewai.events.types.a2a_events import (
    A2AConversationCompletedEvent,
@@ -49,11 +22,37 @@ from crewai.events.types.a2a_events import (
 )
 from crewai.lite_agent_output import LiteAgentOutput
 from crewai.task import Task
+from pydantic import BaseModel, ValidationError
+
+from crewai_a2a.config import A2AClientConfig, A2AConfig
+from crewai_a2a.extensions.base import (
+    A2AExtension,
+    ConversationState,
+    ExtensionRegistry,
+)
+from crewai_a2a.task_helpers import TaskStateResult
+from crewai_a2a.templates import (
+    AVAILABLE_AGENTS_TEMPLATE,
+    CONVERSATION_TURN_INFO_TEMPLATE,
+    PREVIOUS_A2A_CONVERSATION_TEMPLATE,
+    REMOTE_AGENT_RESPONSE_NOTICE,
+    UNAVAILABLE_AGENTS_NOTICE_TEMPLATE,
+)
+from crewai_a2a.types import AgentResponseProtocol
+from crewai_a2a.utils.agent_card import (
+    afetch_agent_card,
+    fetch_agent_card,
+    inject_a2a_server_methods,
+)
+from crewai_a2a.utils.delegation import (
+    aexecute_a2a_delegation,
+    execute_a2a_delegation,
+)
+from crewai_a2a.utils.response_model import get_a2a_agents_and_response_model


 if TYPE_CHECKING:
    from a2a.types import AgentCard, Message
-
    from crewai.agent.core import Agent
    from crewai.tools.base_tool import BaseTool

--- a/lib/crewai-a2a/tests/a2a/extensions/test_a2ui_schema_conformance.py
+++ b/lib/crewai-a2a/tests/a2a/extensions/test_a2ui_schema_conformance.py
@@ -9,12 +9,11 @@ from __future__ import annotations

 from typing import Any

-import jsonschema
-import pytest
-
 from crewai.a2a.extensions.a2ui import catalog
 from crewai.a2a.extensions.a2ui.models import A2UIEvent, A2UIMessage
 from crewai.a2a.extensions.a2ui.schema import load_schema
+import jsonschema
+import pytest


 SERVER_SCHEMA = load_schema("server_to_client")
@@ -206,7 +205,10 @@ VALID_COMPONENTS: dict[str, dict[str, Any]] = {
    "Divider": {"axis": "horizontal"},
    "Modal": {"entryPointChild": "trigger", "contentChild": "body"},
    "Button": {"child": "label", "action": {"name": "go"}},
-    "CheckBox": {"label": {"literalString": "Accept"}, "value": {"literalBoolean": False}},
+    "CheckBox": {
+        "label": {"literalString": "Accept"},
+        "value": {"literalBoolean": False},
+    },
    "TextField": {"label": {"literalString": "Name"}},
    "DateTimeInput": {"value": {"path": "/date"}},
    "MultipleChoice": {
--- a/lib/crewai-a2a/tests/a2a/test_a2a_integration.py
+++ b/lib/crewai-a2a/tests/a2a/test_a2a_integration.py
@@ -3,14 +3,12 @@ from __future__ import annotations
 import os
 import uuid

-import pytest
-import pytest_asyncio
-
 from a2a.client import ClientFactory
-from a2a.types import AgentCard, Message, Part, Role, TaskState, TextPart
-
+from a2a.types import AgentCard, Message, Part, Role, Task, TaskState, TextPart
 from crewai.a2a.updates.polling.handler import PollingHandler
 from crewai.a2a.updates.streaming.handler import StreamingHandler
+import pytest
+import pytest_asyncio


 A2A_TEST_ENDPOINT = os.getenv("A2A_TEST_ENDPOINT", "http://localhost:9999")
@@ -162,7 +160,7 @@ class TestA2APushNotificationHandler:
        )

    @pytest.fixture
-    def mock_task(self) -> "Task":
+    def mock_task(self) -> Task:
        """Create a minimal valid task for testing."""
        from a2a.types import Task, TaskStatus

@@ -182,10 +180,11 @@ class TestA2APushNotificationHandler:
        from unittest.mock import AsyncMock, MagicMock

        from a2a.types import Task, TaskStatus
-        from pydantic import AnyHttpUrl
-
        from crewai.a2a.updates.push_notifications.config import PushNotificationConfig
-        from crewai.a2a.updates.push_notifications.handler import PushNotificationHandler
+        from crewai.a2a.updates.push_notifications.handler import (
+            PushNotificationHandler,
+        )
+        from pydantic import AnyHttpUrl

        completed_task = Task(
            id="task-123",
@@ -246,10 +245,11 @@ class TestA2APushNotificationHandler:
        from unittest.mock import AsyncMock, MagicMock

        from a2a.types import Task, TaskStatus
-        from pydantic import AnyHttpUrl
-
        from crewai.a2a.updates.push_notifications.config import PushNotificationConfig
-        from crewai.a2a.updates.push_notifications.handler import PushNotificationHandler
+        from crewai.a2a.updates.push_notifications.handler import (
+            PushNotificationHandler,
+        )
+        from pydantic import AnyHttpUrl

        mock_store = MagicMock()
        mock_store.wait_for_result = AsyncMock(return_value=None)
@@ -303,7 +303,9 @@ class TestA2APushNotificationHandler:
        """Test that push handler fails gracefully without config."""
        from unittest.mock import MagicMock

-        from crewai.a2a.updates.push_notifications.handler import PushNotificationHandler
+        from crewai.a2a.updates.push_notifications.handler import (
+            PushNotificationHandler,
+        )

        mock_client = MagicMock()

--- a/lib/crewai-a2a/tests/a2a/utils/test_agent_card.py
+++ b/lib/crewai-a2a/tests/a2a/utils/test_agent_card.py
@@ -3,7 +3,6 @@
 from __future__ import annotations

 from a2a.types import AgentCard, AgentSkill
-
 from crewai import Agent
 from crewai.a2a.config import A2AClientConfig, A2AServerConfig
 from crewai.a2a.utils.agent_card import inject_a2a_server_methods
--- a/lib/crewai-a2a/tests/a2a/utils/test_task.py
+++ b/lib/crewai-a2a/tests/a2a/utils/test_task.py
@@ -6,13 +6,12 @@ import asyncio
 from typing import Any
 from unittest.mock import AsyncMock, MagicMock, patch

-import pytest
-import pytest_asyncio
 from a2a.server.agent_execution import RequestContext
 from a2a.server.events import EventQueue
 from a2a.types import Message, Task as A2ATask, TaskState, TaskStatus
-
 from crewai.a2a.utils.task import cancel, cancellable, execute
+import pytest
+import pytest_asyncio


@pytest.fixture
@@ -85,8 +84,11 @@ class TestCancellableDecorator:
        assert call_count == 1

    @pytest.mark.asyncio
-    async def test_executes_function_with_context(self, mock_context: MagicMock) -> None:
+    async def test_executes_function_with_context(
+        self, mock_context: MagicMock
+    ) -> None:
        """Function executes normally with RequestContext when not cancelled."""
+
        @cancellable
        async def my_func(context: RequestContext) -> str:
            await asyncio.sleep(0.01)
@@ -134,6 +136,7 @@ class TestCancellableDecorator:
    @pytest.mark.asyncio
    async def test_extracts_context_from_kwargs(self, mock_context: MagicMock) -> None:
        """Context can be passed as keyword argument."""
+
        @cancellable
        async def my_func(value: int, context: RequestContext | None = None) -> int:
            return value + 1
@@ -354,6 +357,7 @@ class TestExecuteAndCancelIntegration:
        mock_task: MagicMock,
    ) -> None:
        """Calling cancel stops a running execute."""
+
        async def slow_task(**kwargs: Any) -> str:
            await asyncio.sleep(2.0)
            return "should not complete"
@@ -372,4 +376,4 @@ class TestExecuteAndCancelIntegration:
            await cancel(mock_context, mock_event_queue)

            with pytest.raises(asyncio.CancelledError):
-                await execute_task
+                await execute_task
--- a/lib/crewai-a2a/tests/agents/test_a2a_trust_completion_status.py
+++ b/lib/crewai-a2a/tests/agents/test_a2a_trust_completion_status.py
@@ -2,9 +2,9 @@

 from unittest.mock import MagicMock, patch

+from crewai.a2a.config import A2AConfig
 import pytest

-from crewai.a2a.config import A2AConfig

 try:
    from a2a.types import Message, Role
@@ -27,9 +27,8 @@ def _create_mock_agent_card(name: str = "Test", url: str = "http://test-endpoint
@pytest.mark.skipif(not A2A_SDK_INSTALLED, reason="Requires a2a-sdk to be installed")
 def test_trust_remote_completion_status_true_returns_directly():
    """When trust_remote_completion_status=True and A2A returns completed, return result directly."""
-    from crewai.a2a.wrapper import _delegate_to_a2a
-    from crewai.a2a.types import AgentResponseProtocol
    from crewai import Agent, Task
+    from crewai.a2a.wrapper import _delegate_to_a2a

    a2a_config = A2AConfig(
        endpoint="http://test-endpoint.com",
@@ -83,8 +82,8 @@ def test_trust_remote_completion_status_true_returns_directly():
@pytest.mark.skipif(not A2A_SDK_INSTALLED, reason="Requires a2a-sdk to be installed")
 def test_trust_remote_completion_status_false_continues_conversation():
    """When trust_remote_completion_status=False and A2A returns completed, ask server agent."""
-    from crewai.a2a.wrapper import _delegate_to_a2a
    from crewai import Agent, Task
+    from crewai.a2a.wrapper import _delegate_to_a2a

    a2a_config = A2AConfig(
        endpoint="http://test-endpoint.com",
@@ -152,4 +151,4 @@ def test_default_trust_remote_completion_status_is_false():
        endpoint="http://test-endpoint.com",
    )

-    assert a2a_config.trust_remote_completion_status is False
+    assert a2a_config.trust_remote_completion_status is False
--- a/lib/crewai-a2a/tests/agents/test_agent_a2a_kickoff.py
+++ b/lib/crewai-a2a/tests/agents/test_agent_a2a_kickoff.py
@@ -4,10 +4,9 @@ from __future__ import annotations

 import os

-import pytest
-
 from crewai import Agent
 from crewai.a2a.config import A2AClientConfig
+import pytest


 A2A_TEST_ENDPOINT = os.getenv(
@@ -50,9 +49,7 @@ class TestAgentA2AKickoff:

    @pytest.mark.skip(reason="VCR cassette matching issue with agent card caching")
    @pytest.mark.vcr()
-    def test_agent_kickoff_with_calculator_skill(
-        self, researcher_agent: Agent
-    ) -> None:
+    def test_agent_kickoff_with_calculator_skill(self, researcher_agent: Agent) -> None:
        """Test that agent can delegate calculation to A2A server."""
        result = researcher_agent.kickoff(
            "Ask the remote A2A agent to calculate 25 times 17."
@@ -149,9 +146,7 @@ class TestAgentA2AKickoff:

    @pytest.mark.skip(reason="VCR cassette matching issue with agent card caching")
    @pytest.mark.vcr()
-    def test_agent_kickoff_with_list_messages(
-        self, researcher_agent: Agent
-    ) -> None:
+    def test_agent_kickoff_with_list_messages(self, researcher_agent: Agent) -> None:
        """Test that agent.kickoff() works with list of messages."""
        messages = [
            {
--- a/lib/crewai-a2a/tests/agents/test_agent_a2a_wrapping.py
+++ b/lib/crewai-a2a/tests/agents/test_agent_a2a_wrapping.py
@@ -1,14 +1,12 @@
 """Test A2A wrapper is only applied when a2a is passed to Agent."""

-from unittest.mock import patch
-
-import pytest
-
 from crewai import Agent
 from crewai.a2a.config import A2AConfig
+import pytest
+

 try:
-    import a2a  # noqa: F401
+    import a2a

    A2A_SDK_INSTALLED = True
 except ImportError:
@@ -106,6 +104,9 @@ def test_wrapper_is_applied_differently_per_instance():
        a2a=a2a_config,
    )

-    assert agent_without_a2a.execute_task.__func__ is not agent_with_a2a.execute_task.__func__
+    assert (
+        agent_without_a2a.execute_task.__func__
+        is not agent_with_a2a.execute_task.__func__
+    )
    assert not hasattr(agent_without_a2a.execute_task, "__wrapped__")
    assert hasattr(agent_with_a2a.execute_task, "__wrapped__")
--- a/lib/crewai-a2a/tests/cassettes/TestA2AAgentCardFetching.test_fetch_agent_card.yaml
+++ b/lib/crewai-a2a/tests/cassettes/TestA2AAgentCardFetching.test_fetch_agent_card.yaml
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Greyson LaLonde	347fa866f3	chore: set crewai-a2a package description	2026-04-29 01:26:25 +08:00
Greyson LaLonde	7a2e3f2a06	fix: scope a2a alias finder to submodules only The shim's MetaPathFinder matched the crewai.a2a root, so importlib.reload(crewai.a2a) would swap the shim module for crewai_a2a and drop the shim's __all__ re-exports.	2026-04-29 01:23:52 +08:00
Greyson LaLonde	209fbec61f	fix: route internal a2a imports through crewai_a2a Switch internal references from the crewai.a2a runtime shim to the crewai_a2a package directly so mypy can resolve them, and add the py.typed marker the new package was missing.	2026-04-29 01:17:09 +08:00
Greyson LaLonde	37e60c6fab	Merge branch 'main' into refactor/extract-crewai-a2a-package-v2 # Conflicts: # uv.lock	2026-04-29 00:49:15 +08:00
Greyson LaLonde	080c22678a	refactor: extract a2a into standalone crewai-a2a package Move crewai.a2a into lib/crewai-a2a as its own workspace package, importable as crewai_a2a. The crewai[a2a] extra now pulls in crewai-a2a, which owns a2a-sdk, httpx-auth, httpx-sse, and aiocache. crewai.a2a stays importable. Its __init__ is a compat shim that installs a meta-path finder routing crewai.a2a.* to crewai_a2a.*, so existing user code keeps working untouched. a2a tests and cassettes moved alongside the package under lib/crewai-a2a/tests/. Added that path to the mypy and ruff per-file-ignores lists to match the other test dirs.	2026-04-14 22:21:31 +08:00