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https://github.com/deepseek-ai/deepseek-harness
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1fd9e2a9ab
Every session.jsonl fixture embedded the full composed system prompt and
complete tool-schema list in its request/header event (~8 KB on one line,
identical across the suite), so any prompt or tool-schema edit forced a
re-record or hand-edit of every fixture — see the dynamic-workflows PR for
the churn pattern this removes.
Now exactly one scenario (text-turn, flagged pinsHeader) commits and
compares that content verbatim; every other fixture stores and compares it
as {{system}}/{{tools}} tokens via the new pure scrubRequestHeaders
normalizer (applied to both compare sides and to record-mode writes, so a
re-record cannot reintroduce the content). request/header-delta payloads
are scrubbed the same way; config/reason stay verbatim — a model swap
SHOULD churn every fixture, a prompt edit should not. Replay is unaffected:
script derivation reads only assistant/chunk events.
Fixture meta-guards enforce the split: non-pinning fixtures must be fixed
points of the scrub, the pinning fixture must not be, and exactly one
scenario pins. Committed fixtures migrated through the same function.
Docs: pinned-header RFC (implemented/testing), base snapshot RFC + testing
policy + llm-replay module doc/README updated.
DeepSeek Harness
English | 中文
The DeepSeek Harness SDK is a plugin-based SDK for building agent harnesses.
Development
This monorepo is built on the Cordis framework (vendored as source under vendor/), microkernel-style: everything is a plugin.
pnpm install
pnpm run test # vitest
pnpm run demo:repl # REPL agent demo (needs DEEPSEEK_API_KEY)
pnpm run demo:acp # ACP server agent demo (needs DEEPSEEK_API_KEY)
For humans, start with the development guide for local setup, hooks, environment variables, and quality gates, then read the architecture design and documentation graph index before package work. Local context lives in packages/ and vendor/.
For agents, follow AGENTS.md.