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.

1. Create a Python file

   add_dependencies_to_context.py

   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)
   
2. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
3. Install dependencies

   uv pip install -U agno openai
   
4. Export your OpenAI API key

   export OPENAI_API_KEY=your_openai_api_key_here
   
5. Run Team

   python add_dependencies_to_context.py