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OpenWorker had no way to choose how hard a model thinks per reply; the level
was whatever each endpoint defaulted to (Anthropic: high; Kimi K3 on
Together: max), and a run record could not state it.
- `Config.reasoning_effort` (low | medium | high | xhigh | max, Anthropic's
vocabulary), config.toml / workspace / `COWORKER_REASONING_EFFORT`,
validated; unset sends nothing so existing requests are unchanged.
- `build_engine` threads it through `model_settings` like `max_tokens`.
- providers/effort.py: the level→parameter tables and the nearest-supported
rule (ties go up). Anthropic adaptive models get `output_config.effort`
(per-model support from the effort doc, read 2026-09-08); budget-thinking
models get `thinking.budget_tokens` (2,048 / 8,192 / 16,000 / 24,000 /
32,000, max_tokens floored above); OpenAI-compatible endpoints get
`reasoning_effort` (Kimi K3: low/high/max verified; others the OpenAI
vocabulary). Gemini, Bedrock, Responses: not sent, recorded as such.
- Fallback: an endpoint that rejects the parameter (400 naming it) gets the
request once more without it; the model is remembered for the run.
- Record: `AssistantTurn.effort` → `reasoning_effort` sidecar on every
assistant message and on the ASSISTANT_MESSAGE event: {requested,
effective, param, note}; stripped before provider calls. When a level is
configured but the provider reports nothing, the record says so.
- docs/config.example.toml documents the key.
Tests: tests/test_reasoning_effort.py, 40 cases (levels, config layering and
rejection, build_engine plumbing, mapping tables incl. every curated model at
every level, Anthropic complete/stream/budget/fallback/unrelated error,
OpenAI-compatible unset/mapped/fallback, engine record and outbound strip).