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daemon-backend-deepseek

Nested daemon-cli-backends reference for the DeepSeek Harness daemon backend's flag surface. Read this only when a daemon task needs DeepSeek-specific launcher flags (`--patch` overlays): it routes you to the installed CLI's live help via shell and shows how to translate that help into the generic `backend_options` mechanism. It is not a flag catalog.

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Lingtai-AI/lingtai-kernel
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17 de agosto de 2026 a las 05:02
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SKILL.md
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name
daemon-backend-deepseek
description
Nested daemon-cli-backends reference for the DeepSeek Harness daemon backend's flag surface. Read this only when a daemon task needs DeepSeek-specific launcher flags (`--patch` overlays): it routes you to the installed CLI's live help via shell and shows how to translate that help into the generic `backend_options` mechanism. It is not a flag catalog.
version
0.1.0
last_changed_at
2026-08-16T00:00:00.000Z
related_files
["src/lingtai/tools/daemon/manual/reference/cli-backends/SKILL.md"]
maintenance
Tracks the DeepSeek Harness daemon backend flag-discovery topic it documents; update when that integration changes.
# DeepSeek Harness Daemon Backend — Flag Discovery Entrypoint The installed CLI's own help is the authority for DeepSeek Harness flags; this page is only the entrypoint. Conversion rules, key safety, and persistence live in the parent [`reference/cli-backends/SKILL.md`](../../../SKILL.md). `deepseek` is the canonical backend name (no alias is registered); persisted daemon entries use it verbatim. ## Discover flags from the installed CLI 1. Run, in bash: `dsh --help` (launcher help) and, once the headless profile has booted at least once, `dsh --profile headless --help` (the headless app's own help). The daemon backend wraps the one-shot headless profile (`dsh --profile headless <prompt>`), which takes only the task text as its positional argument — there is no `exec`-style wrapper subcommand. These are local read-only commands; no session is started. The docs authority is the official CLI reference: https://github.com/deepseek-ai/deepseek-harness/blob/master/apps/cli/reference/README.md 2. Translate what you found into `backend_options` with the parent's generic conversion rules. Nothing DeepSeek-specific is added to that contract here. ## Example: launcher-level `--patch` overlay The launcher parses its own flags first; the first unrecognized token starts `--profile headless`'s app arguments. Only launcher-level flags are therefore meaningful in `backend_options` for this backend — the highest-value one is `--patch <path>`, the official way to overlay a config tree (provider/model selection) on a one-shot run. Through `backend_options`, a string value becomes `--flag <value>`: ```jsonc { "backend": "deepseek", // no alias; canonical name only "tasks": [{ "task": "Implement and validate the change.", "tools": [], "backend_options": { "patch": "./dsh-model.yml", // launcher flag + value "env": { "DEEPSEEK_API_KEY": "sk-..." // only if the operator's env lacks it } } }] } // argv: dsh --patch ./dsh-model.yml --profile headless <prompt> ``` The model/provider vocabulary belongs to the installed CLI and its patch/settings configuration — LingTai does not validate, enumerate, or simulate model names. Non-launcher flags (e.g. `--model ...`) are NOT valid here: they end up as app arguments after the launcher boundary and the headless app rejects them as a usage error (exit 1 → the run fails with the CLI's stderr). ## Subscription & auth The DeepSeek Harness base bundle mounts the native DeepSeek adapter (`deepseek-official` route; default models deepseek-v4-flash / deepseek-v4-pro). Credentials resolve from the inherited environment first (`DEEPSEEK_API_KEY` is the adapter's default `apiKeyEnv`; `$DEEPSEEK_BASE_URL` overrides the public API), then `$DSH_HOME/.credentials.yaml`, the invoking project's `.env`, then `$DSH_HOME/.env`. LingTai pins `$DSH_HOME` to the run-private `<run>/dsh-home` so the headless profile's first-use auto-initialization and per-profile settings never touch the operator's real home — the machine-local `cordis.patch.yml` / `.credentials.yaml` layers are therefore deliberately NOT honored; use env vars or the project's `.env`. Never print key values. Official docs: https://github.com/deepseek-ai/deepseek-harness (developer preview — upstream may break compatibility between releases). ## Harness boundary DeepSeek Harness declares a reserved-flag list at the validation layer; passing any of these in `backend_options` refuses the whole batch before spawn: `--profile`, `--dump-default-config`, `--dump-config`, `--version`, `--help`. LingTai owns `--profile headless` (the one-shot harness's profile lock) and the inspection-only exits are reserved because they would finish without doing the task. `--patch` is intentionally NOT reserved (documented user knob, same trust level as `backend_options.env`). No stable machine-readable session-id / resume contract was verified for the shipped headless profile, so `daemon(action="ask", input={"id": ..., "message": ...})` returns an explicit unsupported-backend error — start a new deepseek emanation instead. Free-form options are inserted between `dsh` and the owned `--profile headless` flags; the prompt is the headless app's trailing positional argument. Output is plain text, not a JSON event stream: stdout is recorded verbatim, line by line, as `cli_output` events, no session id is captured, and the joined stdout becomes the result (exit 0 = completed; any nonzero exit — usage error, boot/config failure, or non-completed session — fails the run with the recorded text kept in the run dir for inspection). The run-private env (`DSH_HOME`, and `DSH_TELEMETRY_DISABLED=1` — the official hard opt-out) plus the operator's `$DSH_HOME` caveat are described in the parent table; `daemon_common` MCP injection is not wired yet for this backend. ## DeepSeek-specific validation steps In the Generic validation checklist (see `reference/cli-backends/SKILL.md`), additionally confirm from installed help that the launcher's app-argument boundary behaves as documented (`dsh --profile headless "task"` prints the final answer and exits 0/1, and non-launcher flags after the boundary are rejected by the headless app). Before enabling `ask` for this backend, source-cite a stable machine-readable session-id output plus a tested resume command from local help/code — do not guess.
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