fix(deepseek): send explicit thinking:disabled when reasoning is off

agent/transports/chat_completions.py

@@ -258,6 +258,7 @@ def build_kwargs(
         anthropic_max_out = params.get("anthropic_max_output")
         is_nvidia_nim = params.get("is_nvidia_nim", False)
         is_kimi = params.get("is_kimi", False)
+        is_deepseek = params.get("is_deepseek", False)
         is_tokenhub = params.get("is_tokenhub", False)
         reasoning_config = params.get("reasoning_config")
 
@@ -333,6 +334,19 @@ def build_kwargs(
                 "type": "enabled" if _kimi_thinking_enabled else "disabled",
             }
 
+        # DeepSeek extra_body.thinking (same format as Kimi)
+        if is_deepseek:
+            _ds_thinking_enabled = True
+            if reasoning_config and isinstance(reasoning_config, dict):
+                if reasoning_config.get("enabled") is False:
+                    _ds_thinking_enabled = False
+                _ds_effort = (reasoning_config.get("effort") or "").strip().lower()
+                if _ds_effort == "none":
+                    _ds_thinking_enabled = False
+            extra_body["thinking"] = {
+                "type": "enabled" if _ds_thinking_enabled else "disabled",
+            }
+
         # Reasoning. LM Studio is handled above via top-level reasoning_effort,
         # so skip emitting extra_body.reasoning for it.
         if params.get("supports_reasoning", False) and not params.get("is_lmstudio", False):

run_agent.py

@@ -8710,6 +8710,11 @@ def _build_api_kwargs(self, api_messages: list) -> dict:
             or base_url_host_matches(self.base_url, "moonshot.cn")
         )
         _is_tokenhub = base_url_host_matches(self._base_url_lower, "tokenhub.tencentmaas.com")
+        _is_deepseek = (
+            self.provider == "deepseek"
+            or "deepseek" in (self.model or "").lower()
+            or base_url_host_matches(self.base_url, "api.deepseek.com")
+        )
         _is_lmstudio = (self.provider or "").strip().lower() == "lmstudio"
 
         # Temperature: _fixed_temperature_for_model may return OMIT_TEMPERATURE
@@ -8819,6 +8824,7 @@ def _build_api_kwargs(self, api_messages: list) -> dict:
             is_github_models=_is_gh,
             is_nvidia_nim=_is_nvidia,
             is_kimi=_is_kimi,
+            is_deepseek=_is_deepseek,
             is_tokenhub=_is_tokenhub,
             is_lmstudio=_is_lmstudio,
             is_custom_provider=self.provider == "custom",