What is BerriAI-litellm?
LiteLLM by Berri AI offers a streamlined interface for accessing GPT-4, Claude, and Gemini, used by developers for easy AI integration, cost management, and model routing.
Description
LiteLLM: Simplify AI model access (GPT-4, Claude, Gemini). One unified interface for cost tracking, observability, and routing. Ideal for developers.
Key Features
- Unified API
- Cost tracking
- Model routing
- Observability
- Request logging
Pros
- Simplified model access
- Cost management
- Easy model switching
- Improved observability
- Centralized logging
Cons
- Dependency on LiteLLM library
- Potential overhead
- Limited features compared to native APIs
- Steeper learning curve for advanced configurations
- Added layer of abstraction
Details
LiteLLM provides a unified API to call various LLMs like OpenAI, Azure, Cohere, Anthropic, and Google. It simplifies model access, allowing developers to switch between models without code changes. Features include cost tracking, observability, and request/response logging.
It streamlines the development process with a focus on model abstraction, allowing for easier experimentation and deployment of AI applications.
💡 Try These Prompts:
1. "Write Python code to call the OpenAI API using LiteLLM."
2. "How can I track the cost of each API call using LiteLLM?"
3. "Compare the performance of GPT-4 and Claude using LiteLLM's observability features."
4. "Implement a fallback mechanism in LiteLLM to switch to a different model if the primary model fails."
5. "Use LiteLLM to route API requests based on cost or latency."
Summary
LiteLLM by Berri AI offers a streamlined interface for accessing GPT-4, Claude, and Gemini, used by developers for easy AI integration, cost management, and model routing.