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feat(task): removed per-call model override from task tool

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- Removes `model` field from task item/schema, TaskParams, and TaskItem types.
- Removes model selector validation, formatting, and approval display logic.
- Updates task tool priority docs to reflect that model is no longer per-call overridable.
- Updates eval agent() helper docs and prompt templates to remove model parameter.
- Updates tests to reflect removal of model override capability.
This commit is contained in:
can1357
2026-07-24 14:51:48 +02:00
parent 30994dafb2
commit 9f8aa87dbf
14 changed files with 27 additions and 124 deletions
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docs/tools/eval.md
+3 -4
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@@ -137,7 +137,7 @@ Implemented in `packages/coding-agent/src/eval/js/worker-core.ts`, `packages/cod
- JS host/runtime helpers (`read`, `write`, `output`) are async and `await`able; `env` returns synchronously.
- JS helper options may be passed either positionally in the Python order or as a trailing options object. `null` and `undefined` skip positional slots:
- `await read(path, offset?, limit?)` or `await read(path, { offset?, limit? })`
- `await agent(prompt, agent?, model?, label?, schema?)` or `await agent(prompt, { agent?, model?, label?, schema?, handle? })`
- `await agent(prompt, agent?, label?, schema?)` or `await agent(prompt, { agent?, label?, schema?, handle? })`
- `await parallel([() => agent("a"), () => agent("b")])`
- `await pipeline(items, stage1, stage2)`
- `display(value)` behavior:
@@ -191,10 +191,9 @@ Both runtimes expose `completion()` — a single stateless completion against a
Both runtimes expose `agent()` — a single subagent invocation routed through `packages/coding-agent/src/eval/agent-bridge.ts` into the same `runSubprocess(...)` path used by the `task` tool. It uses the current eval session's spawn policy and inherits the parent eval executor id, so parent and subagent code share JS/Python runtime state.
- Signatures:
- JS: `await agent(prompt, agent?, model?, label?, schema?)` or `await agent(prompt, { agent?, model?, label?, schema?, handle? })`
- Python: `agent(prompt, *, agent="task", model=None, label=None, schema=None, handle=False)`
- JS: `await agent(prompt, agent?, label?, schema?)` or `await agent(prompt, { agent?, label?, schema?, handle? })`
- Python: `agent(prompt, *, agent="task", label=None, schema=None, handle=False)`
- `agent` defaults to the bundled `task` agent and resolves through normal agent discovery, so project and user agents work.
- `model` overrides the selected agent's model. Without it, normal per-agent settings and the agent frontmatter model apply.
- Shared background is passed via files: write a `local://` file and reference it in the prompt. `label` controls the `agent://<id>` output label prefix.
- `schema` passes a JSON Schema to the subagent structured-output path. When present, the helper parses the final JSON text and returns an object.
- `handle` (default off) returns a DAG node dict — `{ text, output, handle: "agent://<id>", id, agent }`, plus a parsed `data` field when `schema` is set — instead of the bare output, so a downstream stage can reference the transcript by handle.