LiteLLM helps teams integrate multiple language model providers through a single, OpenAI-style API layer.
Reliability breakdown
Component scores measured daily from GitHub activity (2026-07-18).
Activity on 55 of 90 tracked days in the last 90 and 21 of 30 in the last 30.
Merged 0 of 0 PRs opened and closed 0 of 0 issues opened over the last 90 tracked days — PR flow carries 55% of this component, issue flow 45%.
262 releases in the last 180 days, 102 in the last 90 and 42 in the last 30 — a steady cadence scores highest.
Last push 1 days ago — freshness decays as pushes age (roughly halves every 83 days without a push).
Modeled — lower is better; concentration of commits in few maintainers. Contributors graph
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LiteLLM addresses a common integration problem in LLM development: every provider has its own API surface, authentication model, and response format. By presenting a unified OpenAI-style interface across a wide range of model vendors and platforms, LiteLLM simplifies switching providers, comparing outputs, and managing multi-model applications. It is especially useful for teams that want portability in their LLM stack without rewriting application logic for each backend.
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