User repro: V4 thinking on hard prompts (~107s of thinking) randomly
"stops mid-response", more often when starting in Agent mode and
switching to YOLO. Two ceilings were too tight:
1. TURN_MAX_OUTPUT_TOKENS: 4096 → 32768
`reasoning_content` from V4 thinking can easily exceed 4K tokens on
hard problems. Once the per-turn output budget exhausts, the API
closes the SSE stream with `finish_reason: "length"` and the visible
reply ends up empty — surfaced as the assistant "stopping randomly".
32K leaves comfortable headroom for thinking + the visible reply on
every realistic turn while staying well below DeepSeek V4's
1M-context output ceiling.
2. max_steps: 100 → u32::MAX (effectively unlimited)
100 was hitting the ceiling on long multi-step plans (wide refactors,
sub-agent orchestration) and presenting as the agent "giving up
mid-task". V4's 1M context window means there's no good reason to
cap steps administratively. Users can still interrupt with Ctrl+C /
Esc; a turn naturally ends when the model stops emitting tool calls.
All 54 turn tests pass; full workspace clippy + fmt remain clean.
Hunter Bown
0d92eb847b