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fix: 修复 DeepSeek V4 reasoning_content 回传导致的 400 错误

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- 扩大模型名称检测范围，匹配所有 deepseek 模型（V4、R1 等）
- 始终保留 thinking blocks 为 reasoning_content 回传给 API
- 移除有 bug 的 turn boundary 剥离逻辑

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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2026-04-24 19:49:26 +08:00
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# Learner Profile
Updated: 2026-04-24
## Style
- Learns best with: Analogies (Memory page <-> Capsule hotel), Concrete trade-offs (Latency vs Throughput)
- Strength: Strong logical intuition regarding memory constraints.
- Pace: Fast. Grasped PagedAttention/TP concepts quickly from first principles.
## Patterns
- Tends to focus on memory usage ("is it OOM?"), which is a good instinct for inference tuning.
- Needs precision on API flags (e.g., `--tensor-parallel-size`).
## Topics
- vLLM Inference Optimization (10/10 concepts mastered, 2026-04-24)