Complete activity-core LLM endpoint handoff (LLM-WP-0006)

Switch the custodian triage default from anthropic/claude-sonnet-4 to
google/gemini-2.5-flash, which advertises structured-output support on
OpenRouter. Tighten the OpenRouter adapter to send strict JSON schema
requests and set provider.require_parameters=true so routing only hits
providers that honor the requested response_format.

Update Kubernetes deploy docs and config for the verified coulombcore
handoff: Containerfile build path, image-pull-policy=Never for smoke
pods, credential-routing notes, and live smoke evidence. Mark
LLM-WP-0006 finished with closure notes from 2026-06-18.

tests/test_structured_output_smoke.py

@@ -15,6 +15,8 @@ STRUCTURED_SCHEMA = {
     "required": ["summary", "recommendations"],
 }
 
+OPENROUTER_STRUCTURED_MODEL = "google/gemini-2.5-flash"
+
 
 SMOKE_CONFIG = RunConfig(
     model_name="gpt-4",
@@ -54,7 +56,7 @@ def test_openrouter_structured_output_payload_and_model_routing(monkeypatch):
 
     monkeypatch.setattr("llm_connect.openrouter.post_json", fake_post_json)
     adapter = OpenRouterAdapter(
-        model="anthropic/claude-sonnet-4",
+        model=OPENROUTER_STRUCTURED_MODEL,
         api_key="or-test",
         api_base="https://openrouter.example/api/v1",
     )
@@ -62,15 +64,58 @@ def test_openrouter_structured_output_payload_and_model_routing(monkeypatch):
     response = adapter.execute_prompt("Return JSON.", SMOKE_CONFIG)
     payload = captured["payload"]
 
-    assert response.model == "anthropic/claude-sonnet-4"
-    assert payload["model"] == "anthropic/claude-sonnet-4"
+    assert response.model == OPENROUTER_STRUCTURED_MODEL
+    assert payload["model"] == OPENROUTER_STRUCTURED_MODEL
     assert payload["response_format"]["json_schema"]["schema"] == STRUCTURED_SCHEMA
-    assert payload["response_format"]["json_schema"]["strict"] is False
+    assert payload["response_format"]["json_schema"]["strict"] is True
+    assert payload["provider"]["require_parameters"] is True
     assert "reasoning_effort" not in payload
     assert "max_depth" not in payload
     assert "json_schema" not in payload
 
 
+def test_openrouter_structured_output_preserves_provider_options(monkeypatch):
+    captured: dict[str, object] = {}
+
+    def fake_post_json(url, payload, headers=None, timeout=300):  # noqa: ANN001
+        captured["payload"] = payload
+        return {
+            "id": "or-response",
+            "model": payload["model"],
+            "choices": [
+                {
+                    "message": {
+                        "content": json.dumps({"summary": "ok", "recommendations": []})
+                    },
+                    "finish_reason": "stop",
+                }
+            ],
+            "usage": {"prompt_tokens": 1, "completion_tokens": 2, "total_tokens": 3},
+        }
+
+    config = RunConfig(
+        model_name="gpt-4",
+        temperature=0.1,
+        max_tokens=300,
+        model_params={
+            "json_schema": STRUCTURED_SCHEMA,
+            "provider": {"order": ["Anthropic"]},
+        },
+    )
+    monkeypatch.setattr("llm_connect.openrouter.post_json", fake_post_json)
+    adapter = OpenRouterAdapter(
+        model=OPENROUTER_STRUCTURED_MODEL,
+        api_key="or-test",
+        api_base="https://openrouter.example/api/v1",
+    )
+
+    adapter.execute_prompt("Return JSON.", config)
+    payload = captured["payload"]
+
+    assert payload["provider"]["order"] == ["Anthropic"]
+    assert payload["provider"]["require_parameters"] is True
+
+
 def test_openai_structured_output_payload(monkeypatch):
     captured: dict[str, object] = {}