> ## Documentation Index
> Fetch the complete documentation index at: https://docs.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Adding Dependencies to Team Context

> This example demonstrates how to add dependencies directly to the team context. Unlike adding dependencies per run, this approach makes the dependency functions available to all team runs by default, providing consistent access to contextual information across all interactions.

<Steps>
  <Step title="Create a Python file">
    ```python add_dependencies_to_context.py theme={null}
    from datetime import datetime

    from agno.agent import Agent
    from agno.models.openai import OpenAIResponses
    from agno.team import Team


    def get_user_profile(user_id: str = "john_doe") -> dict:
        """Get user profile information that can be referenced in responses."""
        profiles = {
            "john_doe": {
                "name": "John Doe",
                "preferences": {
                    "communication_style": "professional",
                    "topics_of_interest": ["AI/ML", "Software Engineering", "Finance"],
                    "experience_level": "senior",
                },
                "location": "San Francisco, CA",
                "role": "Senior Software Engineer",
            }
        }

        return profiles.get(user_id, {"name": "Unknown User"})


    def get_current_context() -> dict:
        """Get current contextual information like time, weather, etc."""
        return {
            "current_time": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
            "timezone": "PST",
            "day_of_week": datetime.now().strftime("%A"),
        }


    profile_agent = Agent(
        name="ProfileAnalyst",
        model=OpenAIResponses(id="gpt-5.2"),
        instructions="You analyze user profiles and provide personalized recommendations.",
    )

    context_agent = Agent(
        name="ContextAnalyst",
        model=OpenAIResponses(id="gpt-5.2"),
        instructions="You analyze current context and timing to provide relevant insights.",
    )

    team = Team(
        name="PersonalizationTeam",
        model=OpenAIResponses(id="gpt-5.2"),
        members=[profile_agent, context_agent],
        dependencies={
            "user_profile": get_user_profile,
            "current_context": get_current_context,
        },
        add_dependencies_to_context=True,
        debug_mode=True,
        markdown=True,
    )

    response = team.run(
        "Please provide me with a personalized summary of today's priorities based on my profile and interests.",
    )

    print(response.content)
    ```
  </Step>

  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    ```bash theme={null}
    export OPENAI_API_KEY=your_openai_api_key_here
    ```
  </Step>

  <Step title="Run Team">
    ```bash theme={null}
    python add_dependencies_to_context.py
    ```
  </Step>
</Steps>