Update security.md

update policy for better readability

.github/workflows/tests.yml

@@ -13,9 +13,8 @@ jobs:
     runs-on: ubuntu-latest
     timeout-minutes: 15
     strategy:
-      fail-fast: true  # Stop testing on subsequent Python versions if an earlier one fails
       matrix:
-        python-version: ['3.10', '3.11', '3.12', '3.13']
+        python-version: ['3.10', '3.11', '3.12']
     steps:
       - name: Checkout code
         uses: actions/checkout@v4
@@ -29,12 +28,7 @@ jobs:
         run: uv python install ${{ matrix.python-version }}
 
       - name: Install the project
-        if: matrix.python-version != '3.13'
         run: uv sync --dev --all-extras
 
-      - name: Install the project (Python 3.13)
-        if: matrix.python-version == '3.13'
-        run: uv sync --dev  # Skip all-extras for Python 3.13 due to onnxruntime compatibility
-
       - name: Run tests
         run: uv run pytest --block-network --timeout=60 -vv

Dockerfile.test

@@ -1,22 +0,0 @@
-FROM python:3.13-slim-bookworm
-
-WORKDIR /app
-
-# Health check
-HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 CMD python -c "import crewai" || exit 1
-
-# Improved installation process
-RUN pip install --upgrade pip && pip install --no-cache-dir -U pip setuptools wheel && rm -rf /root/.cache/pip/* \
-    || { echo 'Installation failed'; exit 1; }
-
-# Copy the current directory contents into the container
-COPY . /app/
-
-# Install the package with error handling
-RUN pip install -e . || { echo 'Package installation failed'; exit 1; }
-
-# Version confirmation
-RUN python -c "import crewai; assert crewai.__version__, 'Version check failed'"
-
-# Test importing the package
-CMD ["python", "-c", "import crewai; print(f'Successfully imported crewai version {crewai.__version__}')"]

docs/concepts/llms.mdx

@@ -169,55 +169,19 @@ In this section, you'll find detailed examples that help you select, configure,
     ```
   </Accordion>
 
-  <Accordion title="Google (Gemini API)">
-    Set your API key in your `.env` file. If you need a key, or need to find an
-    existing key, check [AI Studio](https://aistudio.google.com/apikey).
+  <Accordion title="Google">
+    Set the following environment variables in your `.env` file:
 
-    ```toml .env
+    ```toml Code
+    # Option 1: Gemini accessed with an API key.
     # https://ai.google.dev/gemini-api/docs/api-key
     GEMINI_API_KEY=<your-api-key>
+
+    # Option 2: Vertex AI IAM credentials for Gemini, Anthropic, and Model Garden.
+    # https://cloud.google.com/vertex-ai/generative-ai/docs/overview
     ```
 
-    Example usage in your CrewAI project:
-    ```python Code
-    from crewai import LLM
-
-    llm = LLM(
-        model="gemini/gemini-2.0-flash",
-        temperature=0.7,
-    )
-    ```
-
-    ### Gemini models
-
-    Google offers a range of powerful models optimized for different use cases.
-
-    | Model                          | Context Window | Best For                                                          |
-    |--------------------------------|----------------|-------------------------------------------------------------------|
-    | gemini-2.5-flash-preview-04-17 | 1M tokens      | Adaptive thinking, cost efficiency                                |
-    | gemini-2.5-pro-preview-05-06   | 1M tokens      | Enhanced thinking and reasoning, multimodal understanding, advanced coding, and more |
-    | gemini-2.0-flash               | 1M tokens      | Next generation features, speed, thinking, and realtime streaming |
-    | gemini-2.0-flash-lite          | 1M tokens      | Cost efficiency and low latency                                   |
-    | gemini-1.5-flash               | 1M tokens      | Balanced multimodal model, good for most tasks                    |
-    | gemini-1.5-flash-8B            | 1M tokens      | Fastest, most cost-efficient, good for high-frequency tasks       |
-    | gemini-1.5-pro                 | 2M tokens      | Best performing, wide variety of reasoning tasks including logical reasoning, coding, and creative collaboration |
-
-    The full list of models is available in the [Gemini model docs](https://ai.google.dev/gemini-api/docs/models).
-
-    ### Gemma
-
-    The Gemini API also allows you to use your API key to access [Gemma models](https://ai.google.dev/gemma/docs) hosted on Google infrastructure.
-
-    | Model          | Context Window |
-    |----------------|----------------|
-    | gemma-3-1b-it  | 32k tokens     |
-    | gemma-3-4b-it  | 32k tokens     |
-    | gemma-3-12b-it | 32k tokens     |
-    | gemma-3-27b-it | 128k tokens    |
-
-  </Accordion>
-  <Accordion title="Google (Vertex AI)">
-    Get credentials from your Google Cloud Console and save it to a JSON file, then load it with the following code:
+    Get credentials from your Google Cloud Console and save it to a JSON file with the following code:
     ```python Code
     import json
 
@@ -241,18 +205,14 @@ In this section, you'll find detailed examples that help you select, configure,
         vertex_credentials=vertex_credentials_json
     )
     ```
-
     Google offers a range of powerful models optimized for different use cases:
 
-    | Model                          | Context Window | Best For                                                          |
-    |--------------------------------|----------------|-------------------------------------------------------------------|
-    | gemini-2.5-flash-preview-04-17 | 1M tokens      | Adaptive thinking, cost efficiency                                |
-    | gemini-2.5-pro-preview-05-06   | 1M tokens      | Enhanced thinking and reasoning, multimodal understanding, advanced coding, and more |
-    | gemini-2.0-flash               | 1M tokens      | Next generation features, speed, thinking, and realtime streaming |
-    | gemini-2.0-flash-lite          | 1M tokens      | Cost efficiency and low latency                                   |
-    | gemini-1.5-flash               | 1M tokens      | Balanced multimodal model, good for most tasks                    |
-    | gemini-1.5-flash-8B            | 1M tokens      | Fastest, most cost-efficient, good for high-frequency tasks       |
-    | gemini-1.5-pro                 | 2M tokens      | Best performing, wide variety of reasoning tasks including logical reasoning, coding, and creative collaboration |
+    | Model                  | Context Window | Best For                                                          |
+    |-----------------------|----------------|------------------------------------------------------------------|
+    | gemini-2.0-flash-exp  | 1M tokens      | Higher quality at faster speed, multimodal model, good for most tasks |
+    | gemini-1.5-flash      | 1M tokens      | Balanced multimodal model, good for most tasks                    |
+    | gemini-1.5-flash-8B   | 1M tokens      | Fastest, most cost-efficient, good for high-frequency tasks       |
+    | gemini-1.5-pro        | 2M tokens      | Best performing, wide variety of reasoning tasks including logical reasoning, coding, and creative collaboration |
   </Accordion>
 
   <Accordion title="Azure">

docs/how-to/arize-phoenix-observability.mdx

@@ -68,13 +68,7 @@ We'll create a CrewAI application where two agents collaborate to research and w
 ```python
 from crewai import Agent, Crew, Process, Task
 from crewai_tools import SerperDevTool
-from openinference.instrumentation.crewai import CrewAIInstrumentor
-from phoenix.otel import register
 
-# setup monitoring for your crew
-tracer_provider = register(
-    endpoint="http://localhost:6006/v1/traces")
-CrewAIInstrumentor().instrument(skip_dep_check=True, tracer_provider=tracer_provider)
 search_tool = SerperDevTool()
 
 # Define your agents with roles and goals

pyproject.toml

@@ -3,7 +3,7 @@ name = "crewai"
 version = "0.119.0"
 description = "Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks."
 readme = "README.md"
-requires-python = ">=3.10,<3.14"
+requires-python = ">=3.10,<3.13"
 authors = [
     { name = "Joao Moura", email = "joao@crewai.com" }
 ]

src/crewai/cli/constants.py

@@ -13,7 +13,7 @@ ENV_VARS = {
     ],
     "gemini": [
         {
-            "prompt": "Enter your GEMINI API key from https://ai.dev/apikey (press Enter to skip)",
+            "prompt": "Enter your GEMINI API key (press Enter to skip)",
             "key_name": "GEMINI_API_KEY",
         }
     ],

src/crewai/cli/templates/crew/pyproject.toml

@@ -3,7 +3,7 @@ name = "{{folder_name}}"
 version = "0.1.0"
 description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
-requires-python = ">=3.10,<3.14"
+requires-python = ">=3.10,<3.13"
 dependencies = [
     "crewai[tools]>=0.119.0,<1.0.0"
 ]

src/crewai/cli/templates/flow/pyproject.toml

@@ -3,7 +3,7 @@ name = "{{folder_name}}"
 version = "0.1.0"
 description = "{{name}} using crewAI"
 authors = [{ name = "Your Name", email = "you@example.com" }]
-requires-python = ">=3.10,<3.14"
+requires-python = ">=3.10,<3.13"
 dependencies = [
     "crewai[tools]>=0.119.0,<1.0.0",
 ]

src/crewai/cli/templates/tool/pyproject.toml

@@ -3,7 +3,7 @@ name = "{{folder_name}}"
 version = "0.1.0"
 description = "Power up your crews with {{folder_name}}"
 readme = "README.md"
-requires-python = ">=3.10,<3.14"
+requires-python = ">=3.10,<3.13"
 dependencies = [
     "crewai[tools]>=0.119.0"
 ]

tests/cli/deploy/test_deploy_main.py

@@ -231,7 +231,7 @@ class TestDeployCommand(unittest.TestCase):
         [project]
         name = "test_project"
         version = "0.1.0"
-        requires-python = ">=3.10,<3.14"
+        requires-python = ">=3.10,<3.13"
         dependencies = ["crewai"]
         """,
     )
@@ -250,7 +250,7 @@ class TestDeployCommand(unittest.TestCase):
     [project]
     name = "test_project"
     version = "0.1.0"
-    requires-python = ">=3.10,<3.14"
+    requires-python = ">=3.10,<3.13"
     dependencies = ["crewai"]
     """,
     )

tests/test_python_compatibility.py

@@ -1,39 +0,0 @@
-"""Tests for Python version compatibility."""
-import sys
-
-import pytest
-from packaging import version
-
-
-def validate_python_version():
-    """Validate that the current Python version is supported."""
-    min_version = (3, 10)
-    max_version = (3, 14)
-    current = sys.version_info[:2]
-    
-    if not (min_version <= current < max_version):
-        raise RuntimeError(
-            f"This package requires Python {min_version[0]}.{min_version[1]} to "
-            f"{max_version[0]}.{max_version[1]-1}. You have Python {current[0]}.{current[1]}"
-        )
-
-
-def test_python_version_compatibility():
-    """Test that the package supports the current Python version."""
-    assert isinstance(sys.version_info, tuple), "Version Information must be a tuple"
-    
-    current_version = version.parse(f"{sys.version_info.major}.{sys.version_info.minor}")
-    assert current_version >= version.parse("3.10"), "Python version too old"
-    assert current_version < version.parse("3.14"), "Python version too new"
-    
-    # This test will fail if the package doesn't support the current Python version
-    import crewai
-    
-    # Print the Python version for debugging
-    print(f"Python version: {sys.version}")
-    
-    # Print the crewai version for debugging
-    print(f"CrewAI version: {crewai.__version__}")
-    
-    # Validate Python version
-    validate_python_version()

uv.lock

@@ -1,5 +1,5 @@
 version = 1
-requires-python = ">=3.10, <3.14"
+requires-python = ">=3.10, <3.13"
 resolution-markers = [
     "python_full_version < '3.11' and platform_python_implementation == 'PyPy' and platform_system == 'Darwin' and sys_platform == 'darwin'",
     "python_full_version < '3.11' and platform_machine == 'aarch64' and platform_python_implementation == 'PyPy' and platform_system == 'Linux' and sys_platform == 'darwin'",