LiteLLM
AI Infrastructure & MLOps
LLM Gateway (OpenAI Proxy) to manage authentication, loadbalancing, and spend tracking across 100+ LLMs. All in the OpenAI format.
LiteLLM is an open-source LLM gateway that functions as an OpenAI-compatible proxy for managing multiple language models. The platform enables developers and organizations to standardize API requests across 100+ different LLMs while maintaining compatibility with OpenAI's API format. The core functionality includes authentication management, load balancing across multiple models, and comprehensive spend tracking. This allows teams to monitor usage costs, distribute requests efficiently, and maintain consistent API interactions regardless of which underlying model processes each request. LiteLLM is designed for developers, ML teams, and organizations that work with multiple LLM providers and need unified infrastructure. It simplifies the complexity of managing different API formats and authentication requirements by routing all requests through a single standardized interface. The tool is particularly valuable for teams looking to reduce vendor lock-in, optimize model selection based on cost and performance, and maintain detailed visibility into LLM usage across their applications. By abstracting away provider-specific details, LiteLLM enables faster experimentation and easier switching between models without requiring application-level code changes. As an open-source solution, LiteLLM provides flexibility for self-hosted deployments and community contributions while supporting integration into existing development workflows and infrastructure.
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Run and deploy AI models with a cloud API
Hey HN! I'm Fabio and I built UltraContext, a simple context API for AI agents with automatic versioning. After two years building AI agents in production, I experienced firsthand how frustrating it is to manage context at scale. Storing messages, iterating system prompts, debugging behavior an
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