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BerriAI/litellmpublicPythongithub.com/BerriAI/litellm
BerriAI avatar

litellm

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

CLAUDE CODELLM INFRAANTHROPICLANGCHAINLLMLLMOPSTRENDING #88

// OWNER · BerriAI · REPO SNAPSHOT

github.com/BerriAI

BerriAI

The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]

STARS54,511+632 · 7d
FORKS10,020+0 · 7d
CONTRIBUTORS0maintainer graph thin
OPEN ISSUES · PRS1,494· 0 
LICENSEno license file
LANGUAGEPython 
FOUNDED
LOCATION
MEMBERS
PUBLIC REPOS
TOTAL STARS
FOCUS
FUNDING

//STAR HISTORY · 12M

+10,065 all-time-window
Stars · cumulative54,514 · today
//WHY IT'S TRENDING· expert verdict · 45% confidence

Unified LLM API proxy with cost tracking and load balancing.

LiteLLM is a mature infrastructure tool for routing calls across 100+ LLM providers via a single OpenAI-compatible interface. It ranks well on dev.to (#19) but poorly on GitHub (#84), suggesting developer content interest without matching repository velocity.

Why now: No specific recent catalyst; likely surfaced by dev.to content algorithm or tutorial publication cycle rather than product release or market event.

  • GitHub rank #84 with score 2.01B indicates substantial absolute activity but weak relative momentum vs. top repos
  • dev.to rank #19 suggests active developer writing/tutorials, but dev.to pool is small (43 items)
  • Only 2 of 8 weighted sources show any signal; zero presence on HN, X, Reddit, Product Hunt, Bluesky
  • Source count of 2 falls below strong_consensus threshold; max rank gap of 65 indicates severe divergence
  • Pool context shows 175/200 items are single-source noise, but this entity is divergence—not consensus

Considerations: LiteLLM is established infrastructure, not an emerging trend. The dev.to ranking may reflect SEO content farming or tutorial recycling rather than organic developer excitement. GitHub #84 suggests it's already past peak growth phase. No HN front page, no X discussion, no Reddit threads means zero organic community validation.

EMERGING SIGNAL · Watch: Monitor for HN or X pickup before acting; current signal is content-driven, not adoption-driven.

Sources: GitHub: BerriAI/litellm · dev.to search: BerriAI/litellm

↻ refreshed 35m ago· next sync in 30m· sourced from 2 channels · 11 mentions / 24h

Methodology: synthesized from this project's own documentation, live GitHub data, third-party coverage, and multi-platform signal convergence — by AISO.tools.

FAQ · answers from the data spine

What is BerriAI/litellm?
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
Who maintains litellm?
Maintained by BerriAI (the owner) on GitHub.
What language is litellm written in?
Primarily Python.
When was litellm created? When was the last update?
Created July 27, 2023 · last commit July 23, 2026.
How do I install litellm?
Clone the repo:
git clone https://github.com/BerriAI/litellm.git
Then follow the README in the cloned directory.
Is litellm actively maintained?
yes — actively maintained (recent commits)

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