Coder
99b63abde6
Extend the openRouterCost projection with a per-step priced-cost map keyed by turn:step so surfaces can render spend without re-pricing, and have the Trajectory view read it through the framework useProjection seat: each priced assistant step shows its USD cost on the request boundary chip and in the inspector summary, while unpriced steps stay blank. Also fix a pre-existing exactOptionalPropertyTypes error in extractCacheRates that the host typecheck surfaced.
DeepSeek Harness
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DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI.
It uses an architecture where everything is a plugin, and is powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability.
Developer preview
DeepSeek Harness is currently in developer preview and is iterating rapidly. THERE WILL BE COMPATIBILITY-BREAKING CHANGES.
Run
Run from npm
Install Node.js, then run:
npx @deepseek-ai/dsh web
The command starts the Web UI, served at http://127.0.0.1:3080 by default. See Web UI guide.
Run from source
To run from a repository checkout:
git clone https://github.com/deepseek-ai/deepseek-harness.git
cd deepseek-harness
pnpm install
pnpm run build
pnpm dsh web
Community and support
- Feel free to submit feedback or bug reports through GitHub Discussions.
- Add the
dsh-plugintopic to your plugin repository for discoverability. - Join DeepSeek Harness Discord community.
Contributing
See CONTRIBUTING.md.
Development
Start with the development guide and architecture documentation.
For agents, follow AGENTS.md.
License
Third-party dependencies and their licenses are disclosed in THIRD_PARTY_NOTICES.md.