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Meilynx Documentation

Meilynx helps teams measure, explain, and optimize the cost of LLM-powered features. The docs focus on how to ingest telemetry and outcomes, model costs, and operationalize insights with workflows and dashboards.

Start here​

  • Quickstart: get the development environment set up and the project running.
  • Telemetry events: how to emit events and correlate requests.
  • Public APIs: ingestion endpoints, outcome events, dimensions, and signals.
  • SDK: conventions, local development, and maintenance.
  • Local Proxy: customer-hosted governance data plane, control-plane sync, and internal dogfooding runbook.
  • Workflows: how Meilynx interprets telemetry and outcomes for dashboards.

How the docs are organized​

  • Architecture: system components, data model, and database ERD.
  • Ingestion: telemetry, outcomes, contracts, signals, and RAG pipeline flow.
  • SDK: client usage, conventions, and release workflow.
  • Local Proxy: customer-hosted governance data plane and app/proxy control-plane contract.
  • Product: unit economics, waste analysis, recommendations, goals, and simulations.
  • Workflows: workflow setup, outcomes, and correlation.
  • Operations: dev environment, testing, and deployment notes.
  • Glossary: shared vocabulary.

If you are unsure where to look, start with Architecture → Overview and follow the “See also” links throughout the docs.