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liteLLM

One library to standardize all LLM APIs

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O que é liteLLM ?

Simplify using OpenAI, Azure, Cohere, Anthropic, Replicate, Google LLM APIs. TLDR Call all LLM APIs using the chatGPT format - completion(model, messages) Consistent outputs and exceptions for all LLM APIs Logging and Error Tracking for all models

Quais são os cenários de uso do liteLLM?

Integrating multiple LLM APIs into applications using a unified interface.
Building applications that require natural language processing capabilities across various platforms.
Creating chatbots or virtual assistants that can leverage different LLMs for diverse responses.
Implementing cost tracking and rate limiting for API usage in enterprise applications.
Developing applications that require real-time data processing and response streaming.

Quais são os destaques da característica do liteLLM?

Supports over 100 LLM APIs in OpenAI format, including providers like Azure, OpenAI, and HuggingFace.
Provides a consistent output format for responses, simplifying integration.
Includes retry and fallback logic for improved reliability across multiple deployments.
Allows setting budgets and rate limits per project, API key, and model for better resource management.
Offers asynchronous and streaming capabilities for real-time data processing.
Integrates with various logging and observability tools for monitoring and analytics.
Provides a hosted proxy option for easier deployment and management of LLM services.