Team Streaming

Stream responses from a team in real-time.

Stream responses from a team with stream=True for real-time output as the team works.

1. Create a Python file

   streaming_team.py

   from agno.agent import Agent
   from agno.models.openai import OpenAIResponses
   from agno.team import Team
   from agno.tools.hackernews import HackerNewsTools
   from agno.tools.yfinance import YFinanceTools
   
   news_agent = Agent(
       name="News Agent",
       model=OpenAIResponses(id="gpt-5.2"),
       role="Gets trending tech stories from HackerNews.",
       tools=[HackerNewsTools()],
   )
   
   finance_agent = Agent(
       name="Finance Agent",
       model=OpenAIResponses(id="gpt-5.2"),
       role="Gets stock prices and financial data.",
       tools=[YFinanceTools()],
   )
   
   team = Team(
       name="Research Team",
       model=OpenAIResponses(id="gpt-5.2"),
       members=[news_agent, finance_agent],
       markdown=True,
       show_members_responses=True,
   )
   
   # Stream the response
   team.print_response(
       "What are the trending AI stories and how is NVDA stock doing?",
       stream=True,
   )
   

   Resolve each item in active_requirements, then call continue_run() or acontinue_run() on the team to resume.

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 yfinance
   
4. Export your OpenAI API key

   Mac/Linux

   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
5. Run Team

   python streaming_team.py