Open-source LLM Gateway that standardizes access to 100+ large language models using the OpenAI API format.
Developers and enterprises struggle to integrate and manage multiple large language model APIs from different providers, each with unique authentication, input/output formats, and pricing structures. This fragmentation increases development time, operational complexity, and makes it difficult to switch between providers or implement fallback strategies.
Developers and enterprises struggle to integrate and manage multiple large language model APIs from different providers, each with unique authentication, input/output formats, and pricing structures. This fragmentation increases development time, operational complexity, and makes it difficult to switch between providers or implement fallback strategies.
LiteLLM provides a unified gateway that standardizes access to 100+ LLMs through a single OpenAI-compatible API format. The platform handles authentication, load balancing, cost tracking, and fallback logic, allowing developers to focus on building applications rather than managing provider integrations.
LiteLLM provides a unified gateway that standardizes access to 100+ LLMs through a single OpenAI-compatible API format. The platform handles authentication, load balancing, cost tracking, and fallback logic, allowing developers to focus on building applications rather than managing provider integrations.
Appears active as of December 2025 based on recent product updates and ongoing development.
Appears active as of December 2025 based on recent product updates and ongoing development.
LiteLLM is an open-source LLM Gateway that simplifies how developers and enterprises manage access to multiple large language models. Founded in 2023 and based in San Francisco, LiteLLM has become a trusted infrastructure solution for companies seeking to standardize their LLM integrations across diverse AI providers.
LiteLLM provides a unified interface for calling over 100 large language models from different providers including OpenAI, Anthropic, Azure, Google Vertex AI, AWS Bedrock, and others. The platform translates API calls into the OpenAI format, eliminating the need for developers to learn and implement separate integrations for each provider. This standardization reduces development time and operational complexity when working with multiple LLM providers.
The platform offers several enterprise-grade capabilities designed for production environments. Cost tracking enables organizations to monitor spending across all LLM providers in a centralized dashboard. Load balancing distributes requests intelligently across multiple models to optimize performance and cost. Authentication management provides secure access control through JWT, SSO, and SAML integrations. Rate limiting protects against overuse, while fallback mechanisms ensure service continuity by automatically switching to alternative models if a primary provider experiences issues.
LiteLLM is an open-source LLM Gateway that simplifies how developers and enterprises manage access to multiple large language models. Founded in 2023 and based in San Francisco, LiteLLM has become a trusted infrastructure solution for companies seeking to standardize their LLM integrations across diverse AI providers.
LiteLLM provides a unified interface for calling over 100 large language models from different providers including OpenAI, Anthropic, Azure, Google Vertex AI, AWS Bedrock, and others. The platform translates API calls into the OpenAI format, eliminating the need for developers to learn and implement separate integrations for each provider. This standardization reduces development time and operational complexity when working with multiple LLM providers.
The platform offers several enterprise-grade capabilities designed for production environments. Cost tracking enables organizations to monitor spending across all LLM providers in a centralized dashboard. Load balancing distributes requests intelligently across multiple models to optimize performance and cost. Authentication management provides secure access control through JWT, SSO, and SAML integrations. Rate limiting protects against overuse, while fallback mechanisms ensure service continuity by automatically switching to alternative models if a primary provider experiences issues.
Total Raised: $1.6 million
Last Round: Seed
Total Raised: $1.6 million
Last Round: Seed
Open-source with enterprise support and premium features
Open-source with enterprise support and premium features
Developers, engineering teams, and enterprises building AI applications who need to manage multiple LLM providers
Developers, engineering teams, and enterprises building AI applications who need to manage multiple LLM providers
Product updates in December 2025 including Gemini 3.0 Flash support and image guardrails.
Hiring: Actively seeking founding full-stack engineer to help scale the platform.
Product updates in December 2025 including Gemini 3.0 Flash support and image guardrails.
Hiring: Actively seeking founding full-stack engineer to help scale the platform.
Additional features include guardrails for content safety, prompt management for organizing and versioning prompts, observability tools for monitoring LLM performance, and support for batch processing APIs. The platform supports both cloud-hosted and self-hosted deployment options, making it suitable for organizations with varying security and compliance requirements.
Additional features include guardrails for content safety, prompt management for organizing and versioning prompts, observability tools for monitoring LLM performance, and support for batch processing APIs. The platform supports both cloud-hosted and self-hosted deployment options, making it suitable for organizations with varying security and compliance requirements.
LiteLLM has gained significant traction in the developer community with over 18,000 stars on GitHub. The platform is trusted by notable companies including Netflix, Lemonade, Rocket Money, Samsara, and Adobe. These organizations use LiteLLM to streamline their LLM infrastructure, reduce operational overhead, and accelerate the adoption of new models as they become available.
LiteLLM has gained significant traction in the developer community with over 18,000 stars on GitHub. The platform is trusted by notable companies including Netflix, Lemonade, Rocket Money, Samsara, and Adobe. These organizations use LiteLLM to streamline their LLM infrastructure, reduce operational overhead, and accelerate the adoption of new models as they become available.
The company offers both open-source and enterprise versions. The open-source version provides core functionality for developers and smaller teams. The enterprise offering includes dedicated support, custom service level agreements, advanced authentication options, audit logging, and priority feature development. This tiered approach allows the company to serve both individual developers and large enterprises with different needs and budgets.
The company offers both open-source and enterprise versions. The open-source version provides core functionality for developers and smaller teams. The enterprise offering includes dedicated support, custom service level agreements, advanced authentication options, audit logging, and priority feature development. This tiered approach allows the company to serve both individual developers and large enterprises with different needs and budgets.
LiteLLM continues to expand its capabilities and provider integrations. Recent updates include support for Google's Gemini 3.0 Flash with thinking levels, image support in built-in guardrails, and integration with Vertex AI Agent Engine. The company actively maintains the platform and regularly adds support for newly released models, enabling users to access cutting-edge AI capabilities with minimal integration effort.
LiteLLM continues to expand its capabilities and provider integrations. Recent updates include support for Google's Gemini 3.0 Flash with thinking levels, image support in built-in guardrails, and integration with Vertex AI Agent Engine. The company actively maintains the platform and regularly adds support for newly released models, enabling users to access cutting-edge AI capabilities with minimal integration effort.
LiteLLM serves developers, engineering teams, and enterprises building AI applications. The platform is particularly valuable for organizations that want to avoid vendor lock-in, reduce costs through intelligent model selection, and maintain flexibility as the LLM landscape evolves. Use cases range from internal developer platforms providing LLM access to multiple teams, to production applications requiring high availability and cost optimization.
LiteLLM serves developers, engineering teams, and enterprises building AI applications. The platform is particularly valuable for organizations that want to avoid vendor lock-in, reduce costs through intelligent model selection, and maintain flexibility as the LLM landscape evolves. Use cases range from internal developer platforms providing LLM access to multiple teams, to production applications requiring high availability and cost optimization.
