liteLLM
One library to standardize all LLM APIs
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Qu'est-ce que 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 modelsQuels sont les scénarios d'utilisation de 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.
Quelles sont les caractéristiques principales de 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.
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