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ypollak2
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ypollak2/llm-router

Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain cuts costs 35-80%.

Python ◇ ai-routing MIT
★120STARS
⑂17FORKS
!16ISSUES
🏆#24,491GLOBAL RANK
🔥21DAYS TRENDING
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⚡ Executive Summary & Quick Facts

Authoritative Source

llm-router is llm-router is an open-source project written in Python: Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain cuts costs 35-80%.. It provides a free, self-hosted open-source alternative to OpenAI API & ChatGPT.

Direct Citation for AI & Research:
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), ypollak2/llm-router has accumulated 120 GitHub stars and 17 forks. It is written in Python, licensed under MIT, and ranks #24,491 globally. It is actively maintained with the latest commit recorded on Oct 31, 2026.”
Repository ypollak2/llm-router ↗
Primary Category ai routing
Language & Stack Python
Software License MIT
Community Traction ★ 120 stars · ⑂ 17 forks · #24,491 globally
Maintenance ● Active (Last commit: Oct 31, 2026) · 16 open issues
Replaces SaaS Open Source OpenAI API & ChatGPT Alternative (Pay-per-token pricing with zero private data guarantees) →
Target Audience Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🛡️ Repository Maintenance & Health Audit (2026)

Health Score: 93/100 · Grade A+
✅
Is llm-router actively maintained in 2026?
Verdict: Actively Maintained & Highly Recommended

Yes, llm-router is actively maintained. Continuous telemetry recorded the last code commit on Oct 31, 2026 (13 days ago). Supported by 120 stars and 17 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.

Commit Recency
Oct 31, 2026
13 days since last push
Issue Backlog
16 Open Issues
Healthy Issue Cadence
Community Backing
17 Forks
120 Stars Recorded
Software License
MIT
Permissive & Inspectable

Star History

Continuous Observations
Interactive star growth chart for ypollak2/llm-router
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Momentum

+10

STARS · LAST 30 DAYS

1

PER DAY

#3,352

MOST-STARRED Python

Window7 days30 days90 days
Stars gained+0+10+90
Per day111
Forks gained+0+3+10

llm-router gained 10 stars in the last 30 days, about 1 a day, and now has 120. It is about 1 year old and has averaged roughly 120 stars a year. It ranks #3,352 among Python repositories and #24,491 across all languages on GitHubRepo.

Trending Record

llm-router has maintained a continuous presence across global trending indexes, peaking at #16320. Below is the 30-day activity profile:

💡 Overview

llm-router is an open-source project written in Python: Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain cuts costs 35-80%.

Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-routing, anthropic, claude. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

⚡ Key Features

1

Optimized execution pipeline written in Python for predictable speed.

2

Zero-friction configuration with comprehensive sensible defaults out of the box.

3

Cross-platform runtime support across Linux, macOS, and Windows environments.

4

Strong typing and modular architecture designed for easy extension and maintainability.

5

Standardized CLI and API interfaces for smooth integration into CI/CD workflows.

6

Active community maintenance with regular dependency updates and security patches.

📥 Installation

terminal
$ pip install llm-router

⚙ System Requirements

Platforms

  • • macOS
  • • Linux
  • • Windows

Runtime & Dependencies

Python >= 3.9, pip, virtualenv

Architecture

x86_64, ARM64 (Apple Silicon & Graviton)

🧠 How It Works

llm-router coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

🎯 Production Use Cases

Autonomous AI Agents

Orchestrate intelligent workflows and tool-calling routines with llm-router.

Model Inference & Prompting

Integrate fast, local or cloud-hosted generative AI models directly into production code.

Context Memory & RAG

Augment language models with dynamic vector retrieval and structured project memory.

Developer Productivity

Automate repetitive engineering tasks, code generation, and test creation using AI agents.

🚀 Getting Started

1

Install llm-router using your package manager: `pip install llm-router`

2

Initialize your project workspace or configuration file for llm-router.

3

Import llm-router into your codebase or invoke it directly from your terminal.

4

Execute your test suite or run `llm-router --help` to verify successful setup.

👍 Strengths

Active community backing with 118 GitHub stars and verified adoption.
Permissive open-source distribution under the MIT license.
Built in Python for high execution speed and developer familiarity.
Cross-platform compatibility across modern Linux, macOS, and Windows environments.
Clean modular design allowing flexible configuration and pipeline integration.

⚠️ Considerations

Requires familiarity with Python and modern CLI workflows.
Ecosystem extensions may require manual configuration depending on environment constraints.
Active development roadmap means breaking API changes may occur across major versions.

⇄ Alternatives & Direct Competitors

💡
Open Source Alternative to OpenAI API & ChatGPT Replaces proprietary subscriptions (Pay-per-token pricing with zero private data guarantees) with self-hosted freedom.
Explore all OpenAI API & ChatGPT alternatives →
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👥 Who Should Use This

Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.

🏆 Nearby in the Rankings

ypollak2/llm-router is currently ranked #24,491 by stars across every repository tracked on GitHubRepo. These are adjacent projects:

RankRepositoryLanguageStarsAction
#24,411 CRFXN5C/mcd-mcp-kit Python ★ 121 Compare ↗
#24,411 rtmandreyev/construct Python ★ 121 Compare ↗
#24,411 AetherLabsAI/RobotAgentBench Python ★ 121 Compare ↗
#24,411 khanh020905/my-office JavaScript ★ 121 Compare ↗
#24,411 muhraufan/robodust Swift ★ 121 Compare ↗
#24,491 ypollak2/llm-router This Project Python ★ 120
#24,491 adkron/actsaswizard Ruby ★ 120 Compare ↗
#24,491 codyfauser/ebay Ruby ★ 120 Compare ↗
#24,491 cainlevy/snail Ruby ★ 120 Compare ↗
#24,491 zueos/ZIStoreButton Objective-C ★ 120 Compare ↗
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Frequently Asked Questions

What does llm-router do? +

Universal LLM router for AI coding tools. Works with Claude Code, Cursor, Codex, Gemini CLI, Copilot and more. Free-first fallback chain cuts costs 35-80%.

Is llm-router actively maintained in 2026? +

Yes, llm-router is actively maintained. The latest code push was recorded on Oct 31, 2026 (13 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 120 stars and 16 open issues.

What language is llm-router written in? +

The primary language is Python. Topics include: ai-routing, anthropic, claude, claude-code, cost-optimization.

How many stars does llm-router have? +

llm-router has 120 stars and 17 forks on GitHub.

How does llm-router rank among GitHub repositories? +

With 120 stars, ypollak2/llm-router is ranked #24,491 globally across all repositories tracked on GitHubRepo and #3,352 among Python projects.

What license is llm-router distributed under? +

The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.

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