Dependencies are a way to inject variables into your Team context. The dependencies parameter accepts a dictionary containing functions or static variables that are automatically resolved before the team runs.
You can use dependencies to inject memories, dynamic few-shot examples, “retrieved” documents, etc.
from datetime import datetime
from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.team import Team
def get_user_profile() -> dict:
"""Get user profile information that can be referenced in responses."""
profile = {
"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 profile
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=OpenAIChat(id="gpt-5-mini"),
instructions="You analyze user profiles and provide personalized recommendations.",
)
context_agent = Agent(
name="ContextAnalyst",
model=OpenAIChat(id="gpt-5-mini"),
instructions="You analyze current context and timing to provide relevant insights.",
)
team = Team(
name="PersonalizationTeam",
model=OpenAIChat(id="gpt-5-mini"),
members=[profile_agent, context_agent],
dependencies={
"user_profile": get_user_profile,
"current_context": get_current_context,
},
instructions=[
"You are a personalization team that provides personalized recommendations based on the user's profile and context.",
"Here is the user profile: {user_profile}",
"Here is the current context: {current_context}",
],
debug_mode=True,
markdown=True,
)
team.print_response(
"Please provide me with a personalized summary of today's priorities based on my profile and interests.",
)
Dependencies are automatically resolved when the team is run.
You can set dependencies on Team initialization, or pass it to the run(), arun(), print_response() and aprint_response() methods. Use add_dependencies_to_context=True to automatically add all dependencies to the user message instead of referencing them in instructions.
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