litellm is a developer engineering workflows repository at BerriAI/litellm; GitHub metadata summarizes it as: Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]. Its recorded primary language is Python. License metadata lists Other. GitHub metadata shows about 46,890 stars. The project homepage is https://docs.litellm.ai/docs/.
License
Other
Stars
51,800
Homepage
https://docs.litellm.ai/docs/Features
- Maintainer description for litellm: Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]
- litellm uses Python as its recorded primary language, which helps with stack-fit review.
- litellm fits engineering teams assessing code, CLI, SDK, runtime, or developer-tooling workflows.
- litellm lists Other license metadata; review obligations before redistribution or hosted use.
- litellm has about 46,890 GitHub stars in the local metadata snapshot.
- litellm links to https://docs.litellm.ai/docs/ for homepage, docs, or demo validation.
Use Cases
- Use litellm when the need is developer engineering workflows and the repo summary matches: Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) forma...
- Compare the Python implementation in litellm before choosing a similar internal architecture.
- Use litellm to study developer-tooling implementation details before building internal workflows.
- Complete a Other license review before packaging litellm into a commercial or hosted workflow.
- Use litellm's GitHub traction as one input when prioritizing open-source evaluation.
- Check litellm's homepage alongside the repository when validating setup, demos, or documentation.
FAQ
Start from the repository summary (Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) format, with cost tracking, guardrails, loadbalancing and logging. [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, VLLM, NVIDIA NIM]), then verify maintenance status, integration boundaries, and whether its developer engineering workflows focus matches the intended workflow. Repository: https://github.com/BerriAI/litellm. Stars: about 46,890. License: Other. Language: Python.
litellm is best treated as a repository-level component or reference implementation for developer engineering workflows. Good evaluation scenarios include: Use litellm when the need is developer engineering workflows and the repo summary matches: Python SDK, Proxy Server (AI Gateway) to call 100+ LLM APIs in OpenAI (or native) forma... Compare the Python implementation in litellm before choosing a similar internal architecture. Use litellm to study developer-tooling implementation details before building internal workflows.
