LiteLLM Howto
LiteLLM is an open-source library and proxy server that provides a unified API for interacting with 100+ large language models from various providers using the OpenAI format.
View MoreHow to Use LiteLLM
Install LiteLLM: Install the LiteLLM library using pip: pip install litellm
Import and set up environment variables: Import litellm and set up environment variables for API keys: import litellm, os; os.environ['OPENAI_API_KEY'] = 'your-api-key'
Make an API call: Use the completion() function to make an API call: response = litellm.completion(model='gpt-3.5-turbo', messages=[{'role': 'user', 'content': 'Hello'}])
Handle streaming responses: For streaming responses, set stream=True: response = litellm.completion(model='gpt-3.5-turbo', messages=[{'role': 'user', 'content': 'Hello'}], stream=True)
Set up error handling: Use try-except blocks with OpenAIError to handle exceptions: try: litellm.completion(...) except OpenAIError as e: print(e)
Configure callbacks: Set up callbacks for logging: litellm.success_callback = ['helicone', 'langfuse']
Deploy LiteLLM Proxy: To deploy the LiteLLM proxy server, use Docker: docker run -e LITELLM_MASTER_KEY='sk-1234' ghcr.io/berriai/litellm:main
Configure model routing: Create a config.yaml file to set up model routing and API keys for different providers
Use the proxy server: Make API calls to your deployed LiteLLM proxy using the OpenAI SDK or curl commands
LiteLLM FAQs
LiteLLM is a unified API and proxy server that allows developers to interact with over 100 different LLM providers (like OpenAI, Azure, Anthropic, etc.) using a standardized OpenAI-compatible format. It simplifies LLM integration by providing features like load balancing, spend tracking, and consistent error handling across providers.
LiteLLM Monthly Traffic Trends
LiteLLM reached 172,140 visits in November, showing a 4.8% increase. Without specific updates or market activities for November 2024, this slight growth is likely due to the platform's ongoing features such as load balancing, fallback mechanisms, and budget management.
View history traffic
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