Introducing Weave Router: Right-Sizing Inference for Production Agentic Workloads
Blog post from Weave
Weave Router addresses the inefficiency in AI model usage by implementing per-request routing to optimize costs and improve performance. Instead of routing all requests to a single frontier model, which can be costly for trivial tasks, Weave Router intelligently directs each request to the most cost-effective model capable of delivering equivalent results, significantly reducing expenses. It operates as a standalone Go service that integrates seamlessly with existing systems, supporting multiple wire formats such as Anthropic Messages, OpenAI Chat Completions, and Google Gemini. With session pinning and format translation, it ensures efficient caching and maintains compatibility across different formats, preventing unnecessary costs and latency issues. The router is available as a managed service, simplifying billing and provider management, or as a self-hosted solution for teams with specific data residency needs. By decoupling the model from the product and focusing on the surrounding infrastructure, Weave Router facilitates the development of AI features that were previously uneconomical, allowing teams to utilize AI more effectively and efficiently.
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