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Before starting this guide, ensure you have completed the Installation Guide and installed all required dependencies.

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Run LiteLLM as a Docker Container

To connect LiteLLM with an Azure model, configure your litellm_config.yaml as follows: 
model_list:
  - model_name: azure-gpt-4o-mini
    litellm_params:
      model: azure/gpt-4o-mini
      api_base: os.environ/AZURE_API_BASE
      api_key: os.environ/AZURE_API_KEY
      api_version: os.environ/AZURE_API_VERSION
Before starting the container, ensure you have correctly set the following environment variables:
  • AZURE_API_KEY
  • AZURE_API_BASE
  • AZURE_API_VERSION
Run the container using: 
docker run -v $(pwd)/litellm_config.yaml:/app/config.yaml  \
-e AZURE_API_KEY="your_api_key" -e AZURE_API_BASE="your_api_base_url" -e AZURE_API_VERSION="your_api_version"\
-p 4000:4000 ghcr.io/berriai/litellm:main-latest --config /app/config.yaml --detailed_debug
Once running, LiteLLM will be accessible at: http://0.0.0.0:4000 To confirm that config.yaml is correctly mounted, check the logs: 
...
13:49:43 - LiteLLM Proxy:DEBUG: proxy_server.py:1507 - loaded config={
    "model_list": [
        {
            "model_name": "azure-gpt-4o-mini",
            "litellm_params": {
                "model": "azure/gpt-4o-mini",
                "api_base": "os.environ/AZURE_API_BASE",
                "api_key": "os.environ/AZURE_API_KEY",
                "api_version": "os.environ/AZURE_API_VERSION"
            }
        }
    ]
}
...

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Initiate Chat

To communicate with LiteLLM, configure the model in config_list and initiate a chat session. 
from autogen import AssistantAgent, UserProxyAgent, LLMConfig

llm_config = LLMConfig(
    model="azure-gpt-4o-mini",
    base_url="http://0.0.0.0:4000",
)

user_proxy = UserProxyAgent(
    name="user_proxy",
    human_input_mode="NEVER",
)
with llm_config:
    assistant = AssistantAgent(name="assistant")

user_proxy.initiate_chat(
    recipient=assistant,
    message="Solve the following equation: 2x + 3 = 7",
    max_turns=3,
)
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