llm-router-engine

copperlang2007/llm-router-engine
★ 0 stars Python 🤖 AI/LLM Updated today
Production-grade LLM routing engine with first-class multi-agent orchestration, wrapper quality learning, uncertainty quantification (UVal), and rich workflow sessions. Includes MCP server, FastAPI service, Docker support, and comprehensive testing.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "llm-router-engine": {
      "command": "uvx",
      "args": [
        "llm-router-engine"
      ]
    }
  }
}

Or install with pip: pip install llm-router-engine

README Excerpt

Epistemic LLM weighting & routing engine. **Highest-recommended path (user directive)**: Hybrid authoritative Python core package + optional service + thin SDK. **Primary usage mode**: Multi-agent orchestrations (see `llm_router/orchestration/` and `examples/multi_agent_commission_workflow.py`). This is **epistemic infrastructure** for the artificialBRIDGE agent ecosystem (apex, sovereign, skills). It scores every model option on: