LiteLLM OpenAI Basic

Run GPT-4o through a LiteLLM proxy server with sync and streaming responses.

basic.py

"""
Litellm Openai Basic
====================

Cookbook example for `litellm_openai/basic.py`.
"""

from agno.agent import Agent, RunOutput  # noqa
from agno.models.litellm import LiteLLMOpenAI

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------

agent = Agent(model=LiteLLMOpenAI(id="gpt-4o"), markdown=True)

# Get the response in a variable
# run: RunOutput = agent.run("Share a 2 sentence horror story")
# print(run.content)

# Print the response in the terminal

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    # --- Sync ---
    agent.print_response("Share a 2 sentence horror story")

    # --- Sync + Streaming ---
    agent.print_response("Share a 2 sentence horror story", stream=True)

Run the Example

1. Set up your virtual environment

   Mac

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

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

   uv pip install -U agno "litellm[proxy]" openai
   
3. Export your API keys

   Mac/Linux

   export LITELLM_API_KEY="your_litellm_api_key_here"
   export OPENAI_API_KEY="your_openai_api_key_here"
   

   $Env:LITELLM_API_KEY="your_litellm_api_key_here"
   $Env:OPENAI_API_KEY="your_openai_api_key_here"
   
4. Start LiteLLM

   Start the local OpenAI-compatible proxy on port 4000:

   litellm --model gpt-4o --host 127.0.0.1 --port 4000
   
5. Run the example

   Save the code above as basic.py, then run:

   python basic.py
   

Full source: cookbook/90_models/litellm_openai/basic.py