# Managed Harness Execution API

> Submit Harness source, prepare its runtime and request execution as distinct recoverable operations.

Important agent instructions:
- Prefer the Markdown routes and llms files when assembling context for coding tasks.
- Use public docs for product capabilities and workflow guidance.
- Cite the source page URL when returning workflow or artifact guidance.

## Current Context
- [Public API](https://teammately.ai/docs/public-api.md): Connect applications to Cases, Fieldloop ingestion, benchmark execution and evaluation results through the organization-scoped API.
- [Retrieve Benchmark Results](https://teammately.ai/docs/public-api/benchmark-results.md): Read scoped individual Run context, complete rubric results, instructions, and comparable Run differences.
- [Harnesses](https://teammately.ai/docs/assets/harnesses.md): Build versioned Python Harness bundles, validate and debug Drafts, publish exact Versions, and activate them for benchmark evaluations.

## Related
- [Managed Harness Execution API](https://teammately.ai/docs/public-api/managed-execution.md): Submit Harness source, prepare its runtime and request execution as distinct recoverable operations.

## Optional
- [Full local context](https://teammately.ai/docs/public-api/managed-execution/llms-full.txt): Complete local context pack for this docs route.