feat: harden seat intent and expand HIL coverage

tests/unit/test_openai_responses.py

@@ -6,7 +6,10 @@ import unittest
 import urllib.error
 from unittest.mock import patch
 
-from cognitive_agent.infrastructure.llm.openai_responses import OpenAIIntentInterpreter
+from cognitive_agent.infrastructure.llm.openai_responses import (
+    SYSTEM_PROMPT,
+    OpenAIIntentInterpreter,
+)
 
 
 INTENT = {
@@ -45,10 +48,37 @@ class FakeResponse:
 
 
 class OpenAIResponsesTests(unittest.TestCase):
+    def test_blank_model_and_base_url_use_documented_defaults(self) -> None:
+        with patch.dict(
+            os.environ,
+            {
+                "OPENAI_API_KEY": " test-key ",
+                "OPENAI_MODEL": "  ",
+                "OPENAI_BASE_URL": "",
+                "OPENAI_REASONING_EFFORT": " ",
+            },
+            clear=True,
+        ):
+            interpreter = OpenAIIntentInterpreter()
+
+        self.assertEqual(interpreter.api_key, "test-key")
+        self.assertEqual(interpreter.model, "gpt-5.6-sol")
+        self.assertEqual(interpreter.responses_endpoint, "https://api.openai.com/v1/responses")
+        self.assertEqual(interpreter.reasoning_effort, "medium")
+
+    def test_fuzzy_front_cabin_goal_has_deterministic_ergonomic_policy(self) -> None:
+        normalized = " ".join(SYSTEM_PROMPT.split())
+        self.assertIn("front cabin is cramped", normalized)
+        self.assertIn("longitudinal 80%", normalized)
+        self.assertIn("backrest recline 35%", normalized)
+        self.assertIn("do not manufacture a driver-seat target", normalized)
+
     def test_non_streaming_structured_output(self) -> None:
         response_body = json.dumps({"output_text": json.dumps(INTENT)})
         environment = {
             "OPENAI_API_KEY": "test-key",
+            "OPENAI_MODEL": "gpt-5.6-sol",
+            "OPENAI_BASE_URL": "https://api.openai.com/v1",
             "OPENAI_STREAM": "false",
         }
 
@@ -73,6 +103,11 @@ class OpenAIResponsesTests(unittest.TestCase):
         request_payload = json.loads(urlopen.call_args.args[0].data.decode("utf-8"))
         self.assertEqual(result, INTENT)
         self.assertNotIn("stream", request_payload)
+        self.assertEqual(request_payload["model"], "gpt-5.6-sol")
+        self.assertEqual(
+            urlopen.call_args.args[0].full_url,
+            "https://api.openai.com/v1/responses",
+        )
         self.assertIn("capability registry", request_payload["input"][1]["content"][0]["text"])
         self.assertIn('"level": 1', request_payload["input"][2]["content"][0]["text"])