fix(kimi): omit temperature entirely for Kimi/Moonshot models (#13157)

Kimi's gateway selects the correct temperature server-side based on the
active mode (thinking -> 1.0, non-thinking -> 0.6).  Sending any
temperature value — even the previously "correct" one — conflicts with
gateway-managed defaults.

Replaces the old approach of forcing specific temperature values (0.6
for non-thinking, 1.0 for thinking) with an OMIT_TEMPERATURE sentinel
that tells all call sites to strip the temperature key from API kwargs
entirely.

Changes:
- agent/auxiliary_client.py: OMIT_TEMPERATURE sentinel, _is_kimi_model()
  prefix check (covers all kimi-* models), _fixed_temperature_for_model()
  returns sentinel for kimi models.  _build_call_kwargs() strips temp.
- run_agent.py: _build_api_kwargs, flush_memories, and summary generation
  paths all handle the sentinel by popping/omitting temperature.
- trajectory_compressor.py: _effective_temperature_for_model returns None
  for kimi (sentinel mapped), direct client calls use kwargs dict to
  conditionally include temperature.
- mini_swe_runner.py: same sentinel handling via wrapper function.
- 6 test files updated: all 'forces temperature X' assertions replaced
  with 'temperature not in kwargs' assertions.

Net: -76 lines (171 added, 247 removed).
Inspired by PR #13137 (@kshitijk4poor).

trajectory_compressor.py

@@ -58,14 +58,20 @@ def _effective_temperature_for_model(
     model: str,
     requested_temperature: float,
     base_url: Optional[str] = None,
-) -> float:
-    """Apply fixed model temperature contracts to direct client calls."""
+) -> Optional[float]:
+    """Apply fixed model temperature contracts to direct client calls.
+
+    Returns ``None`` when the model manages temperature server-side (Kimi);
+    callers must omit the ``temperature`` kwarg entirely in that case.
+    """
     try:
-        from agent.auxiliary_client import _fixed_temperature_for_model
+        from agent.auxiliary_client import _fixed_temperature_for_model, OMIT_TEMPERATURE
     except Exception:
         return requested_temperature
 
     fixed_temperature = _fixed_temperature_for_model(model, base_url)
+    if fixed_temperature is OMIT_TEMPERATURE:
+        return None  # caller must omit temperature
     if fixed_temperature is not None:
         return fixed_temperature
     return requested_temperature
@@ -600,12 +606,14 @@ Write only the summary, starting with "[CONTEXT SUMMARY]:" prefix."""
                         max_tokens=self.config.summary_target_tokens * 2,
                     )
                 else:
-                    response = self.client.chat.completions.create(
-                        model=self.config.summarization_model,
-                        messages=[{"role": "user", "content": prompt}],
-                        temperature=summary_temperature,
-                        max_tokens=self.config.summary_target_tokens * 2,
-                    )
+                    _create_kwargs = {
+                        "model": self.config.summarization_model,
+                        "messages": [{"role": "user", "content": prompt}],
+                        "max_tokens": self.config.summary_target_tokens * 2,
+                    }
+                    if summary_temperature is not None:
+                        _create_kwargs["temperature"] = summary_temperature
+                    response = self.client.chat.completions.create(**_create_kwargs)
                 
                 summary = self._coerce_summary_content(response.choices[0].message.content)
                 return self._ensure_summary_prefix(summary)
@@ -667,12 +675,14 @@ Write only the summary, starting with "[CONTEXT SUMMARY]:" prefix."""
                         max_tokens=self.config.summary_target_tokens * 2,
                     )
                 else:
-                    response = await self._get_async_client().chat.completions.create(
-                        model=self.config.summarization_model,
-                        messages=[{"role": "user", "content": prompt}],
-                        temperature=summary_temperature,
-                        max_tokens=self.config.summary_target_tokens * 2,
-                    )
+                    _create_kwargs = {
+                        "model": self.config.summarization_model,
+                        "messages": [{"role": "user", "content": prompt}],
+                        "max_tokens": self.config.summary_target_tokens * 2,
+                    }
+                    if summary_temperature is not None:
+                        _create_kwargs["temperature"] = summary_temperature
+                    response = await self._get_async_client().chat.completions.create(**_create_kwargs)
                 
                 summary = self._coerce_summary_content(response.choices[0].message.content)
                 return self._ensure_summary_prefix(summary)