| name | mozart-router |
| description | Route AI tasks to the best available model based on cost, context, latency, privacy and reliability. Gateways execute — Mozart decides. |
| license | MIT |
| compatibility | opencode |
| metadata | {"audience":"ai-builders","category":"orchestration"} |
Mozart Router — OpenCode Skill
What I do
- Detect your configured AI providers and models
- Classify each task and select the optimal model/provider
- Estimate cost and tokens before execution
- Scan for secrets and block cloud leaks
- Explain every routing decision
- Fall back gracefully when providers fail
When to use me
Use this skill when the agent needs to:
- Choose between multiple available models
- Estimate the cost of an LLM call before making it
- Check if context contains secrets before sending to a cloud model
- Optimize context to reduce token usage
- Get a fallback plan in case a model fails
How to use
Call the Mozart MCP server or SDK:
import { Mozart } from 'mozart-router';
const mozart = new Mozart();
await mozart.detectAll();
const route = await mozart.recommend('your task here');
Integration modes
- MCP Server:
npx mozart-router mcp
- CLI:
npx mozart-router doctor
- SDK:
import { Mozart } from 'mozart-router'
- HTTP API:
npx mozart-router start --port=4444
Gateways execute. Mozart decides.
Do not rebuild what the gateway already does.
Detect it, understand it, orchestrate it.
