About
LiteLLM is an open-source Python library designed to simplify the integration of Large Language Models (LLMs) into applications. It offers a unified interface that abstracts away the complexities of different LLM provider APIs, allowing developers to easily switch between models and providers without significant code changes. The library aims to democratize access to LLMs by making them more accessible and manageable for developers.
Key facts
At-a-glance profile data
- Website
- litellm.ai
- Headquarters
- San Francisco, United States
- Founded
- 2023
- Employees
- 8
- Total funding
- -
- Business model
- B2B
Tech stack
Detected on litellm.ai and in its job posts, last scanned 24 Sept 2026. Run your own scan
- Backend
- Python, FastAPI
- Database
- PostgreSQL, Redis
- Analytics
- Google Analytics 4, Google Tag Manager
- Observability
- Datadog
- CMS / Builders
- Webflow
- CDN
- Cloudflare
- Email provider
- Microsoft 365
- Hiring platform
- Ashby
- AI APIs
- Anthropic, OpenAI
- DevOps
- Kubernetes
Frequently asked
How many employees does LiteLLM have?
LiteLLM has approximately 8 people on record.
Databricks
Databricks offers LLMOps software that competes with LiteLLM's tools for managing and operationalizing large language models.
Azure OpenAI Service
LiteLLM provides a unified interface to various LLM providers, including Azure OpenAI, allowing developers to switch between models without significant code changes, which directly competes with Microsoft's offering for LLM integration.
Google Cloud Vertex AI
LiteLLM offers a unified API for interacting with over 100 LLM providers, including Google Cloud Vertex AI, providing an alternative to directly integrating with Google's platform.
Amazon Bedrock
LiteLLM acts as an open-source proxy server and Python SDK that standardizes the interface to numerous LLM providers, such as Amazon Bedrock, offering a competing solution for LLM access and management.
Enterprise Media & Entertainment
Netflix has been reported to use LiteLLM to provide developers with 'Day 0 access to the latest LLM models' without rewriting code, indicating a need for flexible and rapid LLM integration.
Enterprise Insurtech
Lemonade praises LiteLLM for streamlining multi-model management, from API formatting to logging and authentication, demonstrating a need for efficient LLM operations in their applications.
Enterprise Fintech
Rocket Money utilizes LiteLLM for multi-model management, including API formatting, logging, and authentication, highlighting their requirement for robust LLM integration in financial applications.
Enterprise Fintech
Stripe is listed as a company that uses LiteLLM, suggesting a need for managing AI API credentials and integrating various LLMs within their payment processing and financial services.
Enterprise Technology & AI
NVIDIA is identified as a LiteLLM customer, indicating their use of the platform for aggregating AI API credentials and managing LLM integrations, likely for their AI development and hardware solutions.
Enterprise EdTech
TAL Education Group, a large publicly-traded Chinese edtech company, uses LiteLLM, suggesting a need for managing and integrating various LLMs for educational applications and content.
Confirmed customer relationships for LiteLLM. Speculative buyer-fit guesses are not shown.