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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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28
bridge/agent_bridge.py
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@@ -167,13 +167,15 @@ class AgentLLMModel(LLMModel):
if session_id:
kwargs['session_id'] = session_id
# Determine thinking: respect global config, then channel_type
# Thinking mode is a global toggle independent of the channel.
# IM channels (WeChat/WeCom/DingTalk/Feishu) won't render the
# reasoning trace, but still benefit from the higher answer
# quality the thinking pass produces.
from config import conf
global_thinking = conf().get("enable_thinking", False)
if not global_thinking:
kwargs['thinking'] = {"type": "disabled"}
else:
kwargs['thinking'] = {"type": "enabled"} if channel_type == "web" else {"type": "disabled"}
kwargs['thinking'] = (
{"type": "enabled"} if conf().get("enable_thinking", False)
else {"type": "disabled"}
)
response = self.bot.call_with_tools(**kwargs)
return self._format_response(response)
@@ -220,13 +222,15 @@ class AgentLLMModel(LLMModel):
if session_id:
kwargs['session_id'] = session_id
# Determine thinking: respect global config, then channel_type
# Thinking mode is a global toggle independent of the channel.
# IM channels (WeChat/WeCom/DingTalk/Feishu) won't render the
# reasoning trace, but still benefit from the higher answer
# quality the thinking pass produces.
from config import conf
global_thinking = conf().get("enable_thinking", False)
if not global_thinking:
kwargs['thinking'] = {"type": "disabled"}
else:
kwargs['thinking'] = {"type": "enabled"} if channel_type == "web" else {"type": "disabled"}
kwargs['thinking'] = (
{"type": "enabled"} if conf().get("enable_thinking", False)
else {"type": "disabled"}
)
stream = self.bot.call_with_tools(**kwargs)