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Millwright

LLM APIs · Open source

Open-source Rust LLM router for deterministic policy, cache affinity, provider health, and spend control across OpenAI-compatible, Anthropic, and Amazon Bedrock endpoints.

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# Building with Millwright

Open-source Rust LLM router for deterministic policy, cache affinity, provider health, and spend control across OpenAI-compatible, Anthropic, and Amazon Bedrock endpoints.

**Category:** LLM APIs
**Directory listing:** https://tokensand.com/tools/llm-apis/millwright
**Detected stack:** unknown
**Snippets derived from real docs:** no (fallback)

## Goal

I'm building a project with Millwright. Help me ship end-to-end in the smallest number of steps — hackathon speed, production-safe defaults. If any step below is ambiguous or the docs snippet is incomplete, ask me what I'm trying to build before writing code.

### Install
(No canonical install command detected — see docs links below.)

### First call
(No verified example detected — consult the official docs links before writing one.)

## Docs links
- [Official Docs](https://northwoodsystems.ai/research/projects/millwright/docs)
- [GitHub](https://github.com/Northwood-Systems/millwright)
- [Website](https://github.com/Northwood-Systems/millwright)


## Your task
1. Read the install and first-call blocks above. Write a minimal runnable starter in the detected stack (unknown).
2. Call out any secrets I'll ne
…
Docs:Official DocsGitHubWebsite