The lowest-overhead LLM router. Production-ready, highly available, one OpenAI-compatible endpoint in front of 80 providers and your own vLLM/SGLang — 0.76 µs per request, no I/O on the request path, cache-affinity routing, RBAC, budgets and a 13-screen UI in the binary.
⚡ Executive Summary & Quick Facts
Authoritative SourceFastllm-proxy is Fastllm-proxy is an open-source project written in Rust: The lowest-overhead LLM router. Production-ready, highly available, one OpenAI-compatible endpoint in front of 80 providers and your own vLLM/SGLang — 0.76 µs per request, no I/O on the request path, cache-affinity routing, RBAC, budgets and a 13-screen UI in the binary..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), azrtydxb/Fastllm-proxy has accumulated 109 GitHub stars and 92 forks. It is written in Rust, licensed under Apache-2.0, and ranks #25,576 globally. It is actively maintained with the latest commit recorded on Nov 11, 2026.”
| Repository | azrtydxb/Fastllm-proxy ↗ |
|---|---|
| Primary Category | ai gateway |
| Language & Stack | Rust |
| Software License | Apache-2.0 |
| Community Traction | ★ 109 stars · ⑂ 92 forks · #25,576 globally |
| Maintenance | ● Active (Last commit: Nov 11, 2026) · 4 open issues |
| Target Audience | Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 93/100 · Grade A+Yes, Fastllm-proxy is actively maintained. Continuous telemetry recorded the last code commit on Nov 11, 2026 (1 days ago). Supported by 109 stars and 92 community forks, this repository holds a calculated health index of 93/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
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Momentum
+10
STARS · LAST 30 DAYS
1
PER DAY
#2,364
MOST-STARRED Rust
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +2 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
Fastllm-proxy gained 10 stars in the last 30 days, about 1 a day, and now has 109. It is about 1 year old and has averaged roughly 109 stars a year. It ranks #2,364 among Rust repositories and #25,576 across all languages on GitHubRepo.
Trending Record
22
DAYS ON TRENDING
#9888
BEST RANK
Oct 17, 2026
FIRST APPEARANCE
Active
STATUS TODAY
Fastllm-proxy has maintained a continuous presence across global trending indexes, peaking at #9888. Below is the 30-day activity profile:
💡 Overview
Fastllm-proxy is an open-source project written in Rust: The lowest-overhead LLM router. Production-ready, highly available, one OpenAI-compatible endpoint in front of 80 providers and your own vLLM/SGLang — 0.76 µs per request, no I/O on the request path, cache-affinity routing, RBAC, budgets and a 13-screen UI in the binary.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-gateway, inference, litellm. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Rust for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ cargo install Fastllm-proxy
⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Rust toolchain (rustc / cargo >= 1.70)
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
Fastllm-proxy coordinates its core functionality through a modular Rust 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 Fastllm-proxy.
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
Install Fastllm-proxy using your package manager: `cargo install Fastllm-proxy`
Initialize your project workspace or configuration file for Fastllm-proxy.
Import Fastllm-proxy into your codebase or invoke it directly from your terminal.
Execute your test suite or run `Fastllm-proxy --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Rust, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
azrtydxb/Fastllm-proxy is currently ranked #25,576 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #25,465 | cablate/model-relay | JavaScript | ★ 110 | Compare ↗ |
| #25,465 | luowang-ui/dsh-purge-plus | JavaScript | ★ 110 | Compare ↗ |
| #25,465 | Arunprakaash/mac-tv | Swift | ★ 110 | Compare ↗ |
| #25,465 | kevintngo/statechart-art | JavaScript | ★ 110 | Compare ↗ |
| #25,465 | albertirgi/replica | JavaScript | ★ 110 | Compare ↗ |
| #25,576 | azrtydxb/Fastllm-proxy This Project | Rust | ★ 109 | |
| #25,576 | telmich/gpm | C | ★ 109 | Compare ↗ |
| #25,576 | sjlombardo/acts_as_network | Ruby | ★ 109 | Compare ↗ |
| #25,576 | robbyrussell/shorturl | Ruby | ★ 109 | Compare ↗ |
| #25,576 | nicksieger/jsonpretty | Go | ★ 109 | Compare ↗ |
| #25,576 | vidageek/mirror | Java | ★ 109 | Compare ↗ |
Frequently Asked Questions
What does Fastllm-proxy do? +
The lowest-overhead LLM router. Production-ready, highly available, one OpenAI-compatible endpoint in front of 80 providers and your own vLLM/SGLang — 0.76 µs per request, no I/O on the request path, cache-affinity routing, RBAC, budgets and a 13-screen UI in the binary.
Is Fastllm-proxy actively maintained in 2026? +
Yes, Fastllm-proxy is actively maintained. The latest code push was recorded on Nov 11, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 93/100 (A+ rating) with 109 stars and 4 open issues.
What language is Fastllm-proxy written in? +
The primary language is Rust. Topics include: ai-gateway, inference, litellm, llm, llm-gateway.
How many stars does Fastllm-proxy have? +
Fastllm-proxy has 109 stars and 92 forks on GitHub.
How does Fastllm-proxy rank among GitHub repositories? +
With 109 stars, azrtydxb/Fastllm-proxy is ranked #25,576 globally across all repositories tracked on GitHubRepo and #2,364 among Rust projects.
What license is Fastllm-proxy distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.