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feat(models): unify enable_thinking for deepseek-v4 and other thinking models

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zhayujie
2026-04-24 15:22:45 +08:00
parent 472a8605c0
commit ae11159918
12 changed files with 91 additions and 23 deletions
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config.py
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@@ -204,7 +204,7 @@ available_setting = {
"agent_max_context_tokens": 50000, # Agent模式下最大上下文tokens
"agent_max_context_turns": 20, # Agent模式下最大上下文记忆轮次
"agent_max_steps": 20, # Agent模式下单次运行最大决策步数
"enable_thinking": False, # Whether to enable deep thinking for web channel
"enable_thinking": False, # Toggle deep-thinking mode for thinking-capable models (e.g. deepseek-v4-pro/flash, deepseek-reasoner, kimi-k2-thinking). When enabled, the model produces a reasoning trace before the final answer; the Web console renders it in a collapsible panel, while IM channels (WeChat/WeCom/DingTalk/Feishu) still benefit from the improved answer quality but do not display the trace. Note: enabling thinking increases first-token latency.
"knowledge": True, # 是否开启知识库功能
# Per-skill runtime config. Nested keys are flattened to env vars at startup
# using the rule: skill[<name>][<key>] -> SKILL_<NAME>_<KEY>