25 lines
1.2 KiB
Markdown
25 lines
1.2 KiB
Markdown
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# dsbench-coding-agent
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The DSBench deployment composition for the Python SDK's bundled JSON-RPC runtime. It intentionally loads no terminal UI, console logger, approval surface, or user-interaction tool because stdout belongs to the SDK protocol and benchmark turns are unattended.
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The model-facing tools are:
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- `bash`, foreground only
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- `read`, `write`, and `edit`
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- `subagent`, using one foreground in-process spawn provider
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- `todo_write`
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The surrounding runtime also loads JSONL session persistence and automatic context compaction. `maxTokensAsSuccess` keeps a token-limited model turn as an accepted benchmark result while preserving its `max-tokens` reason.
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## Runtime environment
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| Variable | Purpose |
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|---|---|
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| `DEEPSEEK_API_KEY` | Credential passed to the OpenAI-compatible host endpoint |
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| `DEEPSEEK_BASE_URL` | Host endpoint used by `dsh-llm-deepseek` |
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| `DSH_CWD` | Benchmark workspace for bash and filesystem tools |
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| `DSH_SESSION_ROOT` | JSONL trajectory directory |
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| `DSH_SYSTEM_PROMPT` | DSBench-provided coding persona |
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Pass the config path through the Python SDK's `cordis` option or `DSH_CORDIS_CONFIG`. The bundled executable already carries every plugin named by this file; the target machine does not need Node.js.
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