Litelm: LiteLLM Without the Bloat
litelm litellm's routing + translation in ~2,900 lines and 2 dependencies (openai, httpx). litellm routes LLM calls across providers and translates between message formats. That core is buried under 100k+ LOC of proxy servers, caching layers, cost tracking, and dozens of features most users never touch. litelm extracts just the call path — model routing, message translation, streaming, tool use, embeddings — and nothing else. The API mirrors litellm — same function names, same arguments, same response types.
- ▪litelm litellm's routing + translation in ~2,900 lines and 2 dependencies (openai, httpx). litellm routes LLM calls across providers and translates between message formats.
- ▪That core is buried under 100k+ LOC of proxy servers, caching layers, cost tracking, and dozens of features most users never touch. litelm extracts just the call path — model routing, message translation, streaming, tool use, embeddings — a
- ▪The API mirrors litellm — same function names, same arguments, same response types.
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Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/kennethwolters/litelm |
| Publication time | Fri, 11 Sep 2026 18:10:20 +0000 |
| Retrieval time | 2026-09-11T18:53:48.321Z |
| Last seen | 2026-09-11T18:54:06.487Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | TmoKry4wu15l · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
litelm litellm's routing + translation in ~2,900 lines and 2 dependencies (openai, httpx). litellm routes LLM calls across providers and translates between message formats. That core is buried under 100k+ LOC of proxy servers, caching layers, cost tracking, and dozens of features most users never touch. litelm extracts just the call path — model routing, message translation, streaming, tool use, embeddings — and nothing else. No Router class, no proxy, no caching. Install pip install litelm # openai + httpx pip install litelm[anthropic] # + anthropic SDK pip install litelm[bedrock] # + boto3 pip install litelm[all] # everything Usage import litelm # Basic completion response = litelm.completion("openai/gpt-4o", messages=[{"role": "user", "content": "Hello!"}])…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.