OpenAI Agents SDK

Use OpenAI Agents SDK with any LLM provider through LiteLLM Proxy.

The OpenAI Agents SDK is a lightweight framework for building multi-agent workflows. It includes an official LiteLLM extension that lets you use any of the 100+ supported providers.

Quick Start

1. Install Dependencies

uv add "openai-agents[litellm]"

2. Add Model to Config

model_list:
  - model_name: gpt-4o
    litellm_params:
      model: "openai/gpt-4o"
      api_key: "os.environ/OPENAI_API_KEY"

  - model_name: claude-sonnet
    litellm_params:
      model: "anthropic/claude-3-5-sonnet-20241022"
      api_key: "os.environ/ANTHROPIC_API_KEY"

  - model_name: gemini-pro
    litellm_params:
      model: "gemini/gemini-2.0-flash-exp"
      api_key: "os.environ/GEMINI_API_KEY"

3. Start LiteLLM Proxy

litellm --config config.yaml

4. Use with Proxy

from agents import Agent, Runner
from agents.extensions.models.litellm_model import LitellmModel

# Point to LiteLLM proxy
agent = Agent(
    name="Assistant",
    instructions="You are a helpful assistant.",
    model=LitellmModel(
        model="claude-sonnet",  # Model from config.yaml
        api_key="sk-1234",      # LiteLLM API key
        base_url="http://localhost:4000"
    )
)

result = await Runner.run(agent, "What is LiteLLM?")
print(result.final_output)

from agents import Agent, Runner
from agents.extensions.models.litellm_model import LitellmModel

# Use any provider directly
agent = Agent(
    name="Assistant",
    instructions="You are a helpful assistant.",
    model=LitellmModel(
        model="anthropic/claude-3-5-sonnet-20241022",
        api_key="your-anthropic-key"
    )
)

result = await Runner.run(agent, "What is LiteLLM?")
print(result.final_output)

Track Usage

Enable usage tracking to monitor token consumption:

from agents import Agent, ModelSettings
from agents.extensions.models.litellm_model import LitellmModel

agent = Agent(
    name="Assistant",
    model=LitellmModel(model="claude-sonnet", api_key="sk-1234"),
    model_settings=ModelSettings(include_usage=True)
)

result = await Runner.run(agent, "Hello")
print(result.context_wrapper.usage)  # Token counts

Environment Variables

Related Resources

• OpenAI Agents SDK Documentation
• LiteLLM Extension Docs
• LiteLLM Proxy Quick Start