fix: broken Task Attributes table in docs (#4403)

The Guardrails row in the Task Attributes table had an unescaped pipe
character in the type column (Optional[List[Callable] | List[str]]) which
was interpreted as a column delimiter, breaking the table rendering.

Fixed by escaping the pipe with backslash and removing the extra column
from the header separator row.

Added tests to validate markdown table structure across all doc languages.

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

docs/en/concepts/tasks.mdx

@@ -45,26 +45,26 @@ crew = Crew(
 
 ## Task Attributes
 
-| Attribute                              | Parameters              | Type                        | Description                                                                                                     |
-| :------------------------------------- | :---------------------- | :-------------------------- | :-------------------------------------------------------------------------------------------------------------- | -------------------------------------------------------------------------- |
-| **Description**                        | `description`           | `str`                       | A clear, concise statement of what the task entails.                                                            |
-| **Expected Output**                    | `expected_output`       | `str`                       | A detailed description of what the task's completion looks like.                                                |
-| **Name** _(optional)_                  | `name`                  | `Optional[str]`             | A name identifier for the task.                                                                                 |
-| **Agent** _(optional)_                 | `agent`                 | `Optional[BaseAgent]`       | The agent responsible for executing the task.                                                                   |
-| **Tools** _(optional)_                 | `tools`                 | `List[BaseTool]`            | The tools/resources the agent is limited to use for this task.                                                  |
-| **Context** _(optional)_               | `context`               | `Optional[List["Task"]]`    | Other tasks whose outputs will be used as context for this task.                                                |
-| **Async Execution** _(optional)_       | `async_execution`       | `Optional[bool]`            | Whether the task should be executed asynchronously. Defaults to False.                                          |
-| **Human Input** _(optional)_           | `human_input`           | `Optional[bool]`            | Whether the task should have a human review the final answer of the agent. Defaults to False.                   |
-| **Markdown** _(optional)_              | `markdown`              | `Optional[bool]`            | Whether the task should instruct the agent to return the final answer formatted in Markdown. Defaults to False. |
-| **Config** _(optional)_                | `config`                | `Optional[Dict[str, Any]]`  | Task-specific configuration parameters.                                                                         |
-| **Output File** _(optional)_           | `output_file`           | `Optional[str]`             | File path for storing the task output.                                                                          |
-| **Create Directory** _(optional)_      | `create_directory`      | `Optional[bool]`            | Whether to create the directory for output_file if it doesn't exist. Defaults to True.                          |
-| **Output JSON** _(optional)_           | `output_json`           | `Optional[Type[BaseModel]]` | A Pydantic model to structure the JSON output.                                                                  |
-| **Output Pydantic** _(optional)_       | `output_pydantic`       | `Optional[Type[BaseModel]]` | A Pydantic model for task output.                                                                               |
-| **Callback** _(optional)_              | `callback`              | `Optional[Any]`             | Function/object to be executed after task completion.                                                           |
-| **Guardrail** _(optional)_             | `guardrail`             | `Optional[Callable]`        | Function to validate task output before proceeding to next task.                                                |
-| **Guardrails** _(optional)_            | `guardrails`            | `Optional[List[Callable]    | List[str]]`                                                                                                     | List of guardrails to validate task output before proceeding to next task. |
-| **Guardrail Max Retries** _(optional)_ | `guardrail_max_retries` | `Optional[int]`             | Maximum number of retries when guardrail validation fails. Defaults to 3.                                       |
+| Attribute                              | Parameters              | Type                                    | Description                                                                                                     |
+| :------------------------------------- | :---------------------- | :-------------------------------------- | :-------------------------------------------------------------------------------------------------------------- |
+| **Description**                        | `description`           | `str`                                   | A clear, concise statement of what the task entails.                                                            |
+| **Expected Output**                    | `expected_output`       | `str`                                   | A detailed description of what the task's completion looks like.                                                |
+| **Name** _(optional)_                  | `name`                  | `Optional[str]`                         | A name identifier for the task.                                                                                 |
+| **Agent** _(optional)_                 | `agent`                 | `Optional[BaseAgent]`                   | The agent responsible for executing the task.                                                                   |
+| **Tools** _(optional)_                 | `tools`                 | `List[BaseTool]`                        | The tools/resources the agent is limited to use for this task.                                                  |
+| **Context** _(optional)_               | `context`               | `Optional[List["Task"]]`                | Other tasks whose outputs will be used as context for this task.                                                |
+| **Async Execution** _(optional)_       | `async_execution`       | `Optional[bool]`                        | Whether the task should be executed asynchronously. Defaults to False.                                          |
+| **Human Input** _(optional)_           | `human_input`           | `Optional[bool]`                        | Whether the task should have a human review the final answer of the agent. Defaults to False.                   |
+| **Markdown** _(optional)_              | `markdown`              | `Optional[bool]`                        | Whether the task should instruct the agent to return the final answer formatted in Markdown. Defaults to False. |
+| **Config** _(optional)_                | `config`                | `Optional[Dict[str, Any]]`              | Task-specific configuration parameters.                                                                         |
+| **Output File** _(optional)_           | `output_file`           | `Optional[str]`                         | File path for storing the task output.                                                                          |
+| **Create Directory** _(optional)_      | `create_directory`      | `Optional[bool]`                        | Whether to create the directory for output_file if it doesn't exist. Defaults to True.                          |
+| **Output JSON** _(optional)_           | `output_json`           | `Optional[Type[BaseModel]]`             | A Pydantic model to structure the JSON output.                                                                  |
+| **Output Pydantic** _(optional)_       | `output_pydantic`       | `Optional[Type[BaseModel]]`             | A Pydantic model for task output.                                                                               |
+| **Callback** _(optional)_              | `callback`              | `Optional[Any]`                         | Function/object to be executed after task completion.                                                           |
+| **Guardrail** _(optional)_             | `guardrail`             | `Optional[Callable]`                    | Function to validate task output before proceeding to next task.                                                |
+| **Guardrails** _(optional)_            | `guardrails`            | `Optional[List[Callable] \| List[str]]` | List of guardrails to validate task output before proceeding to next task.                                      |
+| **Guardrail Max Retries** _(optional)_ | `guardrail_max_retries` | `Optional[int]`                         | Maximum number of retries when guardrail validation fails. Defaults to 3.                                       |
 
 <Note type="warning" title="Deprecated: max_retries">
   The task attribute `max_retries` is deprecated and will be removed in v1.0.0.

lib/crewai/pyproject.toml

@@ -14,7 +14,7 @@ dependencies = [
     "instructor>=1.3.3",
     # Text Processing
     "pdfplumber~=0.11.4",
-    "regex~=2026.1.15",
+    "regex~=2024.9.11",
     # Telemetry and Monitoring
     "opentelemetry-api~=1.34.0",
     "opentelemetry-sdk~=1.34.0",
@@ -36,7 +36,7 @@ dependencies = [
     "json5~=0.10.0",
     "portalocker~=2.7.0",
     "pydantic-settings~=2.10.1",
-    "mcp~=1.26.0",
+    "mcp~=1.23.1",
     "uv~=0.9.13",
     "aiosqlite~=0.21.0",
 ]

lib/crewai/src/crewai/llms/providers/azure/completion.py

@@ -4,7 +4,6 @@ import json
 import logging
 import os
 from typing import TYPE_CHECKING, Any, TypedDict
-from urllib.parse import urlparse
 
 from pydantic import BaseModel
 from typing_extensions import Self
@@ -176,51 +175,11 @@ class AzureCompletion(BaseLLM):
             prefix in model.lower() for prefix in ["gpt-", "o1-", "text-"]
         )
 
-        self.is_azure_openai_endpoint = self._is_azure_openai_deployment_endpoint(
-            self.endpoint
+        self.is_azure_openai_endpoint = (
+            "openai.azure.com" in self.endpoint
+            and "/openai/deployments/" in self.endpoint
         )
 
-    @staticmethod
-    def _parse_endpoint_url(endpoint: str):
-        parsed_endpoint = urlparse(endpoint)
-        if parsed_endpoint.hostname:
-            return parsed_endpoint
-
-        # Support endpoint values without a URL scheme.
-        return urlparse(f"https://{endpoint}")
-
-    @staticmethod
-    def _is_azure_openai_hostname(endpoint: str) -> bool:
-        parsed_endpoint = AzureCompletion._parse_endpoint_url(endpoint)
-        hostname = parsed_endpoint.hostname or ""
-        labels = [label for label in hostname.lower().split(".") if label]
-
-        return len(labels) >= 3 and labels[-3:] == ["openai", "azure", "com"]
-
-    @staticmethod
-    def _get_endpoint_path_segments(endpoint: str) -> list[str]:
-        parsed_endpoint = AzureCompletion._parse_endpoint_url(endpoint)
-        return [segment for segment in parsed_endpoint.path.split("/") if segment]
-
-    @staticmethod
-    def _is_azure_openai_deployment_endpoint(endpoint: str) -> bool:
-        if not AzureCompletion._is_azure_openai_hostname(endpoint):
-            return False
-
-        path_segments = AzureCompletion._get_endpoint_path_segments(endpoint)
-        return len(path_segments) >= 3 and path_segments[:2] == [
-            "openai",
-            "deployments",
-        ]
-
-    @staticmethod
-    def _is_azure_openai_deployments_collection(endpoint: str) -> bool:
-        if not AzureCompletion._is_azure_openai_hostname(endpoint):
-            return False
-
-        path_segments = AzureCompletion._get_endpoint_path_segments(endpoint)
-        return path_segments == ["openai", "deployments"]
-
     @staticmethod
     def _validate_and_fix_endpoint(endpoint: str, model: str) -> str:
         """Validate and fix Azure endpoint URL format.
@@ -235,12 +194,10 @@ class AzureCompletion(BaseLLM):
         Returns:
             Validated and potentially corrected endpoint URL
         """
-        if AzureCompletion._is_azure_openai_hostname(
-            endpoint
-        ) and not AzureCompletion._is_azure_openai_deployment_endpoint(endpoint):
+        if "openai.azure.com" in endpoint and "/openai/deployments/" not in endpoint:
             endpoint = endpoint.rstrip("/")
 
-            if not AzureCompletion._is_azure_openai_deployments_collection(endpoint):
+            if not endpoint.endswith("/openai/deployments"):
                 deployment_name = model.replace("azure/", "")
                 endpoint = f"{endpoint}/openai/deployments/{deployment_name}"
                 logging.info(f"Constructed Azure OpenAI endpoint URL: {endpoint}")

lib/crewai/tests/llms/azure/test_azure.py

@@ -958,34 +958,6 @@ def test_azure_endpoint_detection_flags():
         assert llm_other.is_azure_openai_endpoint == False
 
 
-def test_azure_endpoint_detection_ignores_spoofed_urls():
-    """
-    Test that endpoint detection does not trust spoofed host/path substrings
-    """
-    with patch.dict(os.environ, {
-        "AZURE_API_KEY": "test-key",
-        "AZURE_ENDPOINT": (
-            "https://evil.example.com/?redirect="
-            "https://test.openai.azure.com/openai/deployments/gpt-4"
-        ),
-    }):
-        llm_query_spoof = LLM(model="azure/gpt-4")
-        assert llm_query_spoof.is_azure_openai_endpoint == False
-        assert "model" in llm_query_spoof._prepare_completion_params(
-            messages=[{"role": "user", "content": "test"}]
-        )
-
-    with patch.dict(os.environ, {
-        "AZURE_API_KEY": "test-key",
-        "AZURE_ENDPOINT": "https://test.openai.azure.com.evil/openai/deployments/gpt-4",
-    }):
-        llm_host_spoof = LLM(model="azure/gpt-4")
-        assert llm_host_spoof.is_azure_openai_endpoint == False
-        assert "model" in llm_host_spoof._prepare_completion_params(
-            messages=[{"role": "user", "content": "test"}]
-        )
-
-
 def test_azure_improved_error_messages():
     """
     Test that improved error messages are provided for common HTTP errors

lib/crewai/tests/test_docs_table_formatting.py

@@ -0,0 +1,155 @@
+"""Tests to validate markdown table formatting in documentation files.
+
+These tests ensure that markdown tables in the documentation are well-formed
+and render correctly. Specifically, they check that:
+- All rows have the same number of columns as the header
+- Pipe characters inside table cells are properly escaped
+- Separator rows match the header column count
+"""
+
+from __future__ import annotations
+
+import re
+from pathlib import Path
+
+import pytest
+
+DOCS_DIR = Path(__file__).resolve().parents[3] / "docs"
+
+DOCS_TABLE_FILES = [
+    "en/concepts/tasks.mdx",
+    "pt-BR/concepts/tasks.mdx",
+    "ko/concepts/tasks.mdx",
+]
+
+
+def _split_table_row(line: str) -> list[str]:
+    """Split a markdown table row on unescaped pipe characters.
+
+    Escaped pipes (``\\|``) are preserved as literal ``|`` inside cells.
+    """
+    cells = re.split(r"(?<!\\)\|", line)
+    return [cell.replace("\\|", "|").strip() for cell in cells]
+
+
+def _parse_markdown_tables(content: str) -> list[tuple[int, list[list[str]]]]:
+    """Parse all markdown tables from content.
+
+    Returns a list of (start_line_number, table_rows) tuples.
+    Each table_rows is a list of rows, where each row is a list of cell values.
+    """
+    lines = content.split("\n")
+    tables: list[tuple[int, list[list[str]]]] = []
+    current_table: list[list[str]] = []
+    table_start = 0
+
+    for i, line in enumerate(lines):
+        stripped = line.strip()
+        if stripped.startswith("|") and stripped.endswith("|"):
+            if not current_table:
+                table_start = i + 1
+            cells = _split_table_row(stripped)
+            cells = cells[1:-1]
+            current_table.append(cells)
+        else:
+            if current_table:
+                tables.append((table_start, current_table))
+                current_table = []
+
+    if current_table:
+        tables.append((table_start, current_table))
+
+    return tables
+
+
+def _is_separator_row(cells: list[str]) -> bool:
+    """Check if a row is a table separator (e.g., | :--- | :--- |)."""
+    return all(re.match(r"^:?-+:?$", cell.strip()) for cell in cells if cell.strip())
+
+
+@pytest.mark.parametrize("doc_path", DOCS_TABLE_FILES)
+def test_markdown_tables_have_consistent_columns(doc_path: str) -> None:
+    """Verify all rows in each markdown table have the same number of columns."""
+    full_path = DOCS_DIR / doc_path
+    if not full_path.exists():
+        pytest.skip(f"Doc file not found: {full_path}")
+
+    content = full_path.read_text(encoding="utf-8")
+    tables = _parse_markdown_tables(content)
+
+    for table_start, rows in tables:
+        if len(rows) < 2:
+            continue
+        header_col_count = len(rows[0])
+        for row_idx, row in enumerate(rows[1:], start=1):
+            assert len(row) == header_col_count, (
+                f"Table at line {table_start} in {doc_path}: "
+                f"row {row_idx + 1} has {len(row)} columns, expected {header_col_count}. "
+                f"Row content: {'|'.join(row)}"
+            )
+
+
+@pytest.mark.parametrize("doc_path", DOCS_TABLE_FILES)
+def test_task_attributes_table_has_no_unescaped_pipes_in_cells(doc_path: str) -> None:
+    """Verify the Task Attributes table doesn't have unescaped pipe chars in cells.
+
+    The '|' character is the column delimiter in markdown tables. If a type
+    annotation like `List[Callable] | List[str]` contains an unescaped pipe,
+    it will be interpreted as a column separator and break the table layout.
+    """
+    full_path = DOCS_DIR / doc_path
+    if not full_path.exists():
+        pytest.skip(f"Doc file not found: {full_path}")
+
+    content = full_path.read_text(encoding="utf-8")
+    lines = content.split("\n")
+
+    in_task_attrs = False
+    for i, line in enumerate(lines):
+        if "## Task Attributes" in line or "## Atributos da Tarefa" in line:
+            in_task_attrs = True
+            continue
+
+        if in_task_attrs and line.startswith("##"):
+            break
+
+        if in_task_attrs and line.strip().startswith("|") and line.strip().endswith("|"):
+            stripped = line.strip()
+            cells = stripped.split("|")
+            cells = cells[1:-1]
+
+            if _is_separator_row(cells):
+                continue
+
+            for cell_idx, cell in enumerate(cells):
+                unescaped_pipes = re.findall(r"(?<!\\)\|", cell)
+                assert not unescaped_pipes, (
+                    f"Line {i + 1} in {doc_path}, cell {cell_idx + 1}: "
+                    f"found unescaped pipe character in cell content: '{cell.strip()}'. "
+                    f"Use '\\|' to escape pipe characters inside table cells."
+                )
+
+
+@pytest.mark.parametrize("doc_path", DOCS_TABLE_FILES)
+def test_task_attributes_table_separator_matches_header(doc_path: str) -> None:
+    """Verify the separator row has the same number of columns as the header."""
+    full_path = DOCS_DIR / doc_path
+    if not full_path.exists():
+        pytest.skip(f"Doc file not found: {full_path}")
+
+    content = full_path.read_text(encoding="utf-8")
+    tables = _parse_markdown_tables(content)
+
+    for table_start, rows in tables:
+        if len(rows) < 2:
+            continue
+
+        header = rows[0]
+        separator = rows[1]
+
+        if _is_separator_row(separator):
+            assert len(separator) == len(header), (
+                f"Table at line {table_start} in {doc_path}: "
+                f"separator has {len(separator)} columns but header has {len(header)}. "
+                f"This usually means the header or separator row has extra '|' delimiters."
+            )

uv.lock

@@ -1295,7 +1295,7 @@ requires-dist = [
     { name = "json5", specifier = "~=0.10.0" },
     { name = "jsonref", specifier = "~=1.1.0" },
     { name = "litellm", marker = "extra == 'litellm'", specifier = ">=1.74.9,<3" },
-    { name = "mcp", specifier = "~=1.26.0" },
+    { name = "mcp", specifier = "~=1.23.1" },
     { name = "mem0ai", marker = "extra == 'mem0'", specifier = "~=0.1.94" },
     { name = "openai", specifier = ">=1.83.0,<3" },
     { name = "openpyxl", specifier = "~=3.1.5" },
@@ -1311,7 +1311,7 @@ requires-dist = [
     { name = "pyjwt", specifier = ">=2.9.0,<3" },
     { name = "python-dotenv", specifier = "~=1.1.1" },
     { name = "qdrant-client", extras = ["fastembed"], marker = "extra == 'qdrant'", specifier = "~=1.14.3" },
-    { name = "regex", specifier = "~=2026.1.15" },
+    { name = "regex", specifier = "~=2024.9.11" },
     { name = "tiktoken", marker = "extra == 'embeddings'", specifier = "~=0.8.0" },
     { name = "tokenizers", specifier = "~=0.20.3" },
     { name = "tomli", specifier = "~=2.0.2" },
@@ -3777,7 +3777,7 @@ wheels = [
 
 [[package]]
 name = "mcp"
-version = "1.26.0"
+version = "1.23.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "anyio" },
@@ -3795,9 +3795,9 @@ dependencies = [
     { name = "typing-inspection" },
     { name = "uvicorn", marker = "sys_platform != 'emscripten'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/fc/6d/62e76bbb8144d6ed86e202b5edd8a4cb631e7c8130f3f4893c3f90262b10/mcp-1.26.0.tar.gz", hash = "sha256:db6e2ef491eecc1a0d93711a76f28dec2e05999f93afd48795da1c1137142c66", size = 608005, upload-time = "2026-01-24T19:40:32.468Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/a7/a4/d06a303f45997e266f2c228081abe299bbcba216cb806128e2e49095d25f/mcp-1.23.3.tar.gz", hash = "sha256:b3b0da2cc949950ce1259c7bfc1b081905a51916fcd7c8182125b85e70825201", size = 600697, upload-time = "2025-12-09T16:04:37.351Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/fd/d9/eaa1f80170d2b7c5ba23f3b59f766f3a0bb41155fbc32a69adfa1adaaef9/mcp-1.26.0-py3-none-any.whl", hash = "sha256:904a21c33c25aa98ddbeb47273033c435e595bbacfdb177f4bd87f6dceebe1ca", size = 233615, upload-time = "2026-01-24T19:40:30.652Z" },
+    { url = "https://files.pythonhosted.org/packages/32/c6/13c1a26b47b3f3a3b480783001ada4268917c9f42d78a079c336da2e75e5/mcp-1.23.3-py3-none-any.whl", hash = "sha256:32768af4b46a1b4f7df34e2bfdf5c6011e7b63d7f1b0e321d0fdef4cd6082031", size = 231570, upload-time = "2025-12-09T16:04:35.56Z" },
 ]
 
 [[package]]
@@ -6792,91 +6792,71 @@ wheels = [
 
 [[package]]
 name = "regex"
-version = "2026.1.15"
+version = "2024.9.11"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/0b/86/07d5056945f9ec4590b518171c4254a5925832eb727b56d3c38a7476f316/regex-2026.1.15.tar.gz", hash = "sha256:164759aa25575cbc0651bef59a0b18353e54300d79ace8084c818ad8ac72b7d5", size = 414811, upload-time = "2026-01-14T23:18:02.775Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f9/38/148df33b4dbca3bd069b963acab5e0fa1a9dbd6820f8c322d0dd6faeff96/regex-2024.9.11.tar.gz", hash = "sha256:6c188c307e8433bcb63dc1915022deb553b4203a70722fc542c363bf120a01fd", size = 399403, upload-time = "2024-09-11T19:00:09.814Z" }
 wheels = [
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-    { url = "https://files.pythonhosted.org/packages/23/8a/819e9ce14c9f87af026d0690901b3931f3101160833e5d4c8061fa3a1b67/regex-2026.1.15-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:97499ff7862e868b1977107873dd1a06e151467129159a6ffd07b66706ba3a9f", size = 290632, upload-time = "2026-01-14T23:13:48.688Z" },
-    { url = "https://files.pythonhosted.org/packages/d5/c3/23dfe15af25d1d45b07dfd4caa6003ad710dcdcb4c4b279909bdfe7a2de8/regex-2026.1.15-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:0bda75ebcac38d884240914c6c43d8ab5fb82e74cde6da94b43b17c411aa4c2b", size = 288500, upload-time = "2026-01-14T23:13:50.503Z" },
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