mirror of
https://github.com/deepseek-ai/deepseek-harness
synced 2026-08-15 21:04:50 +00:00
dafb81be7b
The seam vocabulary (SubagentStartRequest.outputSchema, SubagentResult .structured) existed but no in-process backend honored it — spawn/fork advertised outputSchema: false. This lands the missing half: - dsh-tools gains a structured-output JSON Schema subset (json-schema.ts): StructuredOutputSchema, assertSupportedOutputSchema (rejects loud outside the enforced subset, every violation listed), validateStructuredValue (path-qualified issues, total). outputSchema's seam type becomes this raw JSON-Schema subset instead of the author-facing SchemaSpec DSL — the schema travels verbatim to the model as a forced tool's parameters. - dsh-subagent-inprocess gains the shared structured runtime: one global structured_output capture tool (placeholder parameters) + a prepend:true agent/request listener doing FINAL-REQUEST enforcement (strip for plain agents, per-run schema for structured children — survives downstream request-replacing listeners) + an agent/turn-continuation veto that stops a child's turn once captured (no wasted extra model step). Lifetime is refcounted by backends (plugin lifetime) AND live runs (start→settle). - startInProcessRun drives the capture: subset asserted before the child exists, instruction appended to the child's system prompt, clean-finish nudge loop (structuredNudgeRetries, backend Config, default 1), captured value on result.structured; a clean finish without a capture settles 'error' (never a silent success with a missing field). - spawn + fork flip outputSchema: true and inject 'tools'.