fix(ai): stabilize GCP Ollama alert lane

apps/api/src/services/ai_providers/ollama.py

@@ -77,7 +77,7 @@ class OllamaProvider:
             client = await self._get_client()
 
             registry = get_model_registry()
-            model_name = registry.get_model("ollama", "rca")
+            model_name = str((context or {}).get("ollama_model") or registry.get_model("ollama", "rca")).strip()
             options = registry.get_provider_options("ollama")
 
             # P0 2026-04-04 Claude Code: per-task timeout（Option C 分情境）
@@ -112,7 +112,13 @@ class OllamaProvider:
             tokens = data.get("eval_count", 0) + data.get("prompt_eval_count", 0)
             latency = (time.perf_counter() - start) * 1000
 
-            logger.info("ollama_provider_success", response_length=len(result), tokens=tokens, latency_ms=round(latency, 1))
+            logger.info(
+                "ollama_provider_success",
+                response_length=len(result),
+                tokens=tokens,
+                latency_ms=round(latency, 1),
+                model=model_name,
+            )
             return AIResult(
                 raw_response=result,
                 success=True,
@@ -158,7 +164,7 @@ class OllamaProvider:
         total_tokens = 0
         messages: list[dict] = [{"role": "user", "content": prompt}]
         registry = get_model_registry()
-        model_name = registry.get_model("ollama", "rca")
+        model_name = str((context or {}).get("ollama_model") or registry.get_model("ollama", "rca")).strip()
         options = registry.get_provider_options("ollama")
         task_type = (context or {}).get("task_type", "")
         if task_type in ("diagnose", "force_local"):
@@ -321,9 +327,9 @@ class Ollama188Provider(OllamaProvider):
             registry = get_model_registry()
             # 嘗試取 ollama_188 專屬設定，fallback 到 ollama 預設
             try:
-                model_name = registry.get_model("ollama_188", "rca")
+                model_name = str((context or {}).get("ollama_model") or registry.get_model("ollama_188", "rca")).strip()
             except Exception:
-                model_name = getattr(settings, "OLLAMA_HEALTH_CHECK_MODEL", "qwen2.5:7b-instruct")
+                model_name = str((context or {}).get("ollama_model") or getattr(settings, "OLLAMA_HEALTH_CHECK_MODEL", "qwen2.5:7b-instruct")).strip()
 
             try:
                 options = registry.get_provider_options("ollama_188")
@@ -364,6 +370,7 @@ class Ollama188Provider(OllamaProvider):
                 tokens=tokens,
                 latency_ms=round(latency, 1),
                 endpoint=fallback_url,
+                model=model_name,
             )
             return AIResult(
                 raw_response=result,

apps/api/src/services/governance_agent.py

@@ -165,9 +165,11 @@ class GovernanceAgent:
             auto_deprecated=len(auto_deprecated_ids),
             kept=len(kept_ids),
         )
+        drift_ratio = len(drifted) / total if total > 0 else 0.0
         return {
             "checked": total,
             "drifted": len(drifted),
+            "drift_ratio": drift_ratio,
             "auto_deprecated": len(auto_deprecated_ids),
             "kept": len(kept_ids),
         }

apps/api/src/services/openclaw.py

@@ -1142,6 +1142,8 @@ class OpenClawService:
                 exec_context = dict(alert_context) if alert_context else {}
                 if decision.intent == IntentType.DIAGNOSE:
                     exec_context["task_type"] = "diagnose"
+                if self._is_incident_alert_context(alert_context):
+                    exec_context["ollama_model"] = getattr(settings, "ALERT_OLLAMA_MODEL", "gemma3:4b")
 
                 result = await executor.execute(
                     prompt=prompt,