Injected context reached the transcript as one anonymous shape whose expanded body was the whole message serialized as inline JSON, so the escaping collapsed the only readable part — the model-facing prose — into a single line. `MessageSource` gains an optional producer-declared `form`, a small semantic vocabulary of information shapes independent of `kind`: kind says who produced the context, form says what shape it is, so several producers may share one presentation. Two values ship. `instructions` (workspace-context) lists the reconciled files above their text and keeps the `<system-reminder>` framing verbatim, because the framing is part of what the model read. `catalog` moves dsh-tool-skill off the shared plugin kind onto a `skill-catalog` source carrying the published name/description entries, and the body lists those instead of re-parsing `<available_skills>` out of the prose. Catalog identity moves with it: the republish digest now covers the durable entries, deleting the text-slicing that recovered them from a logged message. Everything else renders the opaque body — the model-facing text with its real line breaks, then the remaining provenance as fields. That is the documented default, not a leftover: a resumed, forked, or foreign log must render whether or not its producer is mounted here, which is why the classification lives in the durable source rather than a client-side table keyed by producer.
40 lines
9.9 KiB
JSON
40 lines
9.9 KiB
JSON
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{"type":"user/message","seq":3,"time":1784903339799,"data":{"content":[{"type":"text","text":"Current runtime context. This snapshot supersedes earlier runtime-context snapshots.\n\nCurrent DSH file policy: danger-full-access. The DSH file sandbox does not restrict file modifications by available operations.\n\nApproval prompts are disabled in this session: actions that require approval are rejected automatically — do not request sandbox escalation (do not set `sandbox_permissions`)."}],"source":{"kind":"plugin","plugin":"@deepseek-ai/dsh-system-prompt"},"role":"user","id":"c95810d8-2b1e-42b9-9d81-82269ddb0035"},"surfaceOp":"append"}
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