Manages multi-provider patterns and raw SDK access for OpenAI, Anthropic, Google Gemini, and Ollama.
Provides a standardized way to switch between LLM providers, access native SDK clients, and implement advanced patterns like automatic failover and cost optimization. It allows developers to leverage vendor-specific features such as Anthropic’s prompt caching, OpenAI’s reasoning models, and Google’s massive context windows without being locked into a single ecosystem. This is particularly useful for building production-grade AI systems that require high reliability and flexibility across different model architectures.
Key Features
01Unified access to OpenAI, Anthropic, Google, and Ollama SDKs
02Automatic provider initialization via environment variables
033 GitHub stars
04Standardized error handling for rate limits and authentication
05Advanced provider-specific feature support like prompt caching and logprobs
06Automated provider fallback and failover patterns using lockfiles
Use Cases
01Accessing specialized vendor features like reasoning tokens and multimodal capabilities
02Optimizing model costs by dynamically switching between cheap and premium providers
03Building high-availability AI services with automatic provider failover
