bitrouter

Use when installing, configuring, running, or troubleshooting BitRouter from its CLI — a self-hosted LLM proxy on 127.0.0.1:4356 routing OpenAI- or Anthropic-shaped traffic to any provider, via a coding-agent subscription, hosted BitRouter, or your own keys.…

Use when evaluating BitRouter route decisions or Eval Exchange subjects with task-native verifiers, human reviewers, private enterprise evaluators, agentic judges, or genuinely uncategorized evaluator sources.

Use when a user wants to run, compare, resume, audit, share, or submit a Harbor benchmark through BitRouter, including choosing a Harbor dataset and agent, confirming routed providers and models, or optionally operating BitRouter OSS on AWS.

Set up and run BitRouter as a local LLM proxy that routes requests to OpenAI, Anthropic, Google, and custom providers through a single endpoint. Use this skill when you need to install bitrouter, configure LLM providers, start the proxy server, or route model…

Select the best LLM model for a task from 33 available models routed through BitRouter. Use this skill when choosing which model to use for a specific task, optimizing cost vs quality, switching models mid-workflow, or creating task-specific routes. Triggers…

Use this skill when driving pi-agent with the BitRouter provider — choosing local vs cloud target, configuring env vars, obtaining keys, and troubleshooting model discovery. Trigger when the user mentions the BitRouter pi package, BITROUTER_TARGET,…

Use this skill when driving pi with the BitRouter provider — choosing local vs cloud target, configuring env vars, logging in to BitRouter Cloud, obtaining keys, and troubleshooting model discovery. Trigger when the user mentions the BitRouter pi package,…

Analyze this codebase's LLM usage and reduce spend with BitRouter — run estimate, audit, or optimize, and read the live observed-savings widget. Use when the user asks about LLM cost, model routing, or BitRouter policy.