* feat(core): adaptive output token escalation (8K default + 64K retry)
99% of model responses are under 5K tokens, but we previously reserved
32K for every request. This wastes GPU slot capacity by ~4x.
Now the default output limit is 8K. When a response hits this cap
(stop_reason=max_tokens), it automatically retries once at 64K — only
the ~1% of requests that actually need more tokens pay the cost.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
* docs: add design doc and user doc for adaptive output token escalation
- Add design doc covering problem, architecture, token limit
determination, escalation mechanism, and design decisions
- Document QWEN_CODE_MAX_OUTPUT_TOKENS env var in settings.md
- Add max_tokens adaptive behavior explanation in model config section
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Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
