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https://github.com/deepseek-ai/deepseek-harness
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74f61c89e3
Load both hook bridges in the ACP example (dsh-hooks-claude → ./hooks.json, dsh-hooks-codex → ./codex-hooks.json) so the full-transcript snapshot tier can exercise each dialect against the real app. An absent config file is a silent no-op, so a scenario carries only the file it needs and the other bridge vanishes — verified byte-identical against every pre-existing snapshot. Add a scenario per hook point × its headline Decision outcome, both dialects: UserPromptSubmit block (authored, keyless) + context-fold, PreToolUse deny/ask, PostToolUse block/context, Stop force-continue. The mid-turn scenarios are recorded against the real API with the hook active, so the model's reaction to a denied/blocked/force-continued turn is part of the replayed transcript. SessionStart and SubagentStart are deliberately excluded (detached best-effort inject races the log position — a recorded golden fails 10/10 on its own replay), as is SubagentStop (observe-only, zero transcript footprint — a golden could never be proven to fail). Both stay on the bridges' unit coverage. See docs/rfc/implemented/testing/2026-07-04-hook-snapshot-matrix.md.
8 lines
196 B
JSON
8 lines
196 B
JSON
{
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"steps": [
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{ "op": "initialize" },
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{ "op": "newSession" },
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{ "op": "prompt", "text": "What is my favorite color? Reply with just the color and stop. Do not use any tools." }
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]
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}
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