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GitHub - workweave/router: Model router for agentic syste...
adchurch · 2026-06-24 · via Show HN

Group 1(1)

One endpoint. Every model. Always the right one.

A drop-in proxy for Anthropic, OpenAI, and Gemini that picks the best model for every request: using a tiny on-box embedder, not a vibes-based prompt.

RouterArena Weave Badge Go Tests License: ELv2

🥇 #1 on the RouterArena leaderboard 1 — Acc-Cost Arena 76.09.

Built by Weave: The #1 engineering intelligence platform, loved by Robinhood, PostHog, Reducto, and hundreds of others.


What it does

Point Claude Code, Codex, Cursor, or your own app at localhost:8080. The router:

  • 🎯 Routes per request. A cluster scorer derived from Avengers-Pro 2 picks the right model from your enabled providers, every turn.
  • 🔌 Speaks everyone's API. Anthropic Messages, OpenAI Chat Completions, Gemini native. Streaming, tools, vision, the works.
  • 🧠 Knows OSS too. DeepSeek, Kimi, GLM, Qwen, Llama, Mistral via OpenRouter (or any OpenAI-compatible endpoint).
  • 🔒 BYOK by default. Provider keys stay on your box, encrypted at rest.
  • 📊 Observable. OTLP traces out of the box. See your dashboard in the Weave dashboard (http://localhost:8080/ui/dashboard) or drop in Honeycomb, Datadog, Grafana, whatever.

30-second quickstart

The fastest way: point Claude Code, Codex, or opencode at the hosted Weave Router with one command. No clone, no Docker, no Postgres.

That's it. The installer asks which tool (Claude Code, Codex, or opencode), walks you through scope (user vs. project), grabs a router key, and wires the right config file. Other flavors:

npx @workweave/router --claude              # skip the picker, Claude Code
npx @workweave/router --codex               # skip the picker, OpenAI Codex CLI
npx @workweave/router --opencode            # skip the picker, opencode
npx @workweave/router --scope project       # per-repo, commits settings.json (or .codex/ / opencode.json)
npx @workweave/router --local               # self-hosted localhost:8080
npx @workweave/router --base-url https://router.acme.internal
npx @workweave/router@0.1.0                 # pin a version

Requires Node ≥ 18 (Claude Code and opencode paths also need jq). Full flag reference: install/npm/README.md.

Or: self-host the whole stack

If you want the router (and dashboard) running on your own box:

# 1. Drop a provider key in. OpenRouter is the recommended baseline.
echo "OPENROUTER_API_KEY=sk-or-v1-..." >> .env.local

# 2. Boot Postgres + router on :8080 and seed an rk_ key.
make full-setup

The router is up at http://localhost:8080, the dashboard at http://localhost:8080/ui/ (password: admin), and your rk_... key prints in the logs.

# Call it like Anthropic
curl -sS http://localhost:8080/v1/messages \
  -H "Authorization: Bearer rk_..." \
  -d '{"model":"claude-sonnet-4-5","max_tokens":256,
       "messages":[{"role":"user","content":"hi"}]}'

# ...or like OpenAI
curl -sS http://localhost:8080/v1/chat/completions \
  -H "Authorization: Bearer rk_..." \
  -d '{"model":"gpt-4o-mini",
       "messages":[{"role":"user","content":"hi"}]}'

# Peek at the routing decision without proxying
curl -sS http://localhost:8080/v1/route -H "Authorization: Bearer rk_..." -d '...'

Wire it into your tools

Claude Code. Run make install-cc to wire Claude Code at the local self-hosted router (it's also invoked automatically at the end of make full-setup). For the hosted router, use npx @workweave/router above.

Codex (OpenAI CLI). npx @workweave/router --codex patches ~/.codex/config.toml (or <repo>/.codex/config.toml with --scope project) with a managed [model_providers.weave] block and sets model_provider = "weave". Codex's existing OPENAI_API_KEY flows through to api.openai.com for the plan-based passthrough; the router key rides in an X-Weave-Router-Key HTTP header. Re-install and --uninstall --codex rewrite/remove only the managed block, leaving the rest of your Codex config untouched.

opencode. npx @workweave/router --opencode merges a provider.weave entry into ~/.config/opencode/opencode.json (or <repo>/opencode.json with --scope project). It uses opencode's bundled @ai-sdk/anthropic provider pointed at the router's /v1 endpoint — the router speaks the Anthropic Messages API natively, so opencode works unmodified. The router key and identity headers ride alongside the provider config; re-install rewrites only the managed block and --uninstall --opencode strips it.

Cursor (early beta, performance may not be the best). Settings → Models → Override OpenAI Base URLhttp://localhost:8080/v1, paste rk_... as the API key.

Switching on/off. After installing, npx @workweave/router off --claude (or --codex / --opencode) routes that client straight to its provider again without discarding the router config; on flips it back, and status reports which way it's pointing. Claude Code also gets /router-off, /router-on, and /router-status slash commands. Cursor toggles via the same Settings → Models override above. See install/README.md.

Two keys, don't mix them up:

  • sk-or-... / sk-ant-... / sk-... = your upstream provider key. Lives in .env.local.
  • rk_... = your router key. Clients send this as a Bearer token.

Endpoints

Endpoint Format
POST /v1/messages Anthropic Messages, routed
POST /v1/chat/completions OpenAI Chat Completions, routed
POST /v1beta/models/:action Gemini generateContent, routed
POST /v1/route Returns the decision, no upstream call
GET /v1/models  ·  POST /v1/messages/count_tokens Anthropic passthrough
GET /health  ·  GET /validate liveness + key check

Deeper docs

  • 📐 Configuration reference: every env var, BYOK encryption, OTel knobs, cluster routing.
  • 🛠️ Contributing: layering rules, hot-reload dev, migrations, tests, the whole engineering loop.
  • 🏗️ Architecture: package layout, import contracts, recipes for adding endpoints / providers / strategies.

Roadmap

  • Token-aware rate limiting (Redis sliding window per installation)
  • Sub-installations for tenant hierarchies
  • Speculative dispatch + hedging for tail latency

  1. Lu, Y., Liu, R., Yuan, J., Cui, X., Zhang, S., Liu, H., & Xing, J. RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers. arXiv:2510.00202, 2025. https://arxiv.org/abs/2510.00202

  2. Zhang, Y. et al. Beyond GPT-5: Making LLMs Cheaper and Better via Performance–Efficiency Optimized Routing (Avengers-Pro). arXiv:2508.12631, 2025. https://arxiv.org/abs/2508.12631