Workweave Router
A drop-in proxy that routes every prompt to the best AI model in <50ms, cutting costs 40-70% with just an endpoint change.
Workweave Router
What is Workweave Router?
Workweave Router vs Similar AI Tools
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How to use Workweave Router?
- 1Install via npx @workweave/router or self-host with Docker.
- 2Configure provider keys (e.g., OpenRouter API key) in .env.local.
- 3Point your tool (Claude Code, Codex, etc.) to http://localhost:8080.
- 4Use the provided rk_ key as the Bearer token.
Workweave Router Key Features
- Per-request routing using Avengers-Pro cluster scorer
- Natively speaks Anthropic Messages, OpenAI Chat Completions, and Gemini APIs
- Supports streaming, tools, and vision
- Open-source and self-hostable with BYOK encryption
- OTLP observability with built-in dashboard
Workweave Router Use Cases
- Reduce LLM API costs by 40-70%
- Optimize model selection per request for performance
- Simplify multi-provider integration in agentic systems
Workweave Router Pricing & Free Credits
Workweave Router currently operates on a Free, Paid model.
Self-Hosted (Open Source)
Free
Run your own router instance with full control.
Hosted Router
Paid
Managed router service with npx installer and dashboard.
Workweave Router Pros & Cons
Pros
- Significantly reduces API costs
- Fast routing with low latency
- Supports multiple providers and OSS models
- Open-source with easy self-hosting
- Observability out of the box
Cons
- Requires provider API keys
- May introduce additional network hop
- Complex configuration for advanced routing strategies
What is Workweave Router best for?
- AI developers and teams using multiple LLM providers
- Agentic systems needing cost-efficient model selection
- Projects wanting to switch models without code changes
Workweave Router FAQ
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