LLM Gauze

LLM Gauze is an HTTP gateway that fixes open-weight local language model deficiencies and logs exchanges.

LLM Gauze is an HTTP gateway that operates between clients and local language models served via an OpenAI-compatible API. It detects and fixes model shortcomings such as transient errors without retries, silently hung or looping models, empty or sloppy responses, context-window overflows, runaway reasoning, and malformed tool calls. The software logs every exchange and remediates issues before the client receives the output. It runs as a published container image using Docker Compose and exposes an OpenAI-compatible API. Operational metrics are exposed in Prometheus text format or JSON.

LLM Gauze at a glance

Best for: Software engineer
Runs on: self-hosted
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/ggeorgovassilis/llm-gauze

Key features

Retries transient failures
Nudges empty replies
Cleans leaked thinking tags
Breaks loops with varied sampling
Logs every exchange
Exposes operational metrics

Use it for

Gateway local language model traffic to fix errors
Monitor operational metrics via Prometheus or JSON
Prevent context-window overflows and runaway reasoning

Alternatives to LLM Gauze

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GoRoute — Consumes 5.1MB of RAM with sub-10ms latency for coding agents.
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GPTCache — It decreases expenses and enhances performance by caching LLM query results.
Octopus — Connects multiple LLM providers with automatic failover and protocol conversion.
LightLLM — It delivers high-speed inference and serving performance for large language models.

All LLM Gauze alternatives