ZenMux

In plain words

ZenMux is an enterprise-grade LLM gateway that provides developers with a unified API for accessing multiple large language models. It includes smart routing capabilities to direct requests efficiently and features an automatic compensation mechanism. The tool is designed for developers building AI applications who need a simplified, reliable way to manage LLM interactions across different providers through a single interface.

written from the facts on this page · September 2026

From the sources

ZenMux is an enterprise-grade LLM gateway that makes AI simple and assured for developers through a unified API, smart routing, and an industry-first automatic compensation mechanism.

The Enterprise LLM Platform: Unified API for 100+ AI models (Claude, GPT, Gemini, DeepSeek), intelligent routing, and AI Model Insurance that compensates for subpar output.

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  LLM Gateway2025 · llmgateway.io · ▲296

  I built an OpenAI-compatible LLM gateway that routes requests to OpenAI, Anthropic, Ollama, vLLM, llama-server, SGLang... anything that speaks /v1/chat/completions. Single Go binary, one YAML config file, no infrastructure. It does the things you'd expect from this kind of gateway... semantic routing via a three-layer cascade (keyword heuristics, embedding similarity, LLM classifier) that picks the best model when clients omit the model field, weighted round-robin load balancing across local inference servers with health checks and failover. The part I think is most…

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  TrueFoundry AI GatewayDec 2025 · truefoundry.com · ▲315

  Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…

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  TensorZero2025 · github.com · ▲307

  Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…

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  Any-LLM – Lightweight router to access any LLM Provider2025 · github.com · ▲125

  We built any-llm because we needed a lightweight router for LLM providers with minimal overhead. Switching between models is just a string change : update "openai&#x2F;gpt-4" to "anthropic&#x2F;claude-3" and you're done. It uses official provider SDKs when available, which helps since providers handle their own compatibility updates. No proxy or gateway service needed either, so getting started is pretty straightforward - just pip install and import. Currently supports 20+ providers including OpenAI, Anthropic, Google, Mistral, and AWS Bedrock. Would love to hear what you think!

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