# Translate with evidence.

> Versioned adapters are planned to discover native configuration, map supported concepts, compile canonical assets, and explain target-specific limits.

Canonical: https://rangoon.ai/developers/adapters/

Status: In active development. Product screenshots are design previews with illustrative data. No general availability is implied.

## A precise adapter job

An adapter should discover supported inputs, map them into the canonical model, report capabilities, generate target artifacts, and validate output.

### Version independently

Harness behavior changes quickly, so adapter evolution must remain inspectable and separately versioned.

## Show the transformation

Planned compilation views should surface generated file structure, transformation rules, unsupported behavior, warnings, dependencies, and output differences.

### Compatibility is not binary

Adaptation and partial support need a clear explanation before a team relies on them.

## Still being designed

No adapter SDK, supported harness list, certification, or production compatibility guarantee is announced here.

### Build for review

The intended ecosystem prioritizes traceable adapters over opaque conversions.


## More information

- [Documentation index](https://rangoon.ai/llms.txt)
- [AI access and policies](https://rangoon.ai/ai/)
- [Source repository](https://github.com/hypler-dev/rangoon)