ai-agent-book 精选快照（<2MB 代码与文档，来自 github.com/bojieli/ai-agent-book）

chapter9/trajectory-verifier/test_real_campaign.py

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+import unittest
+
+from run_experiment_9_1 import build_evidence
+
+
+class FakeClient:
+    provider = "fake"
+    model = "fake-model"
+    base_url = "https://invalid.test/v1"
+    credential_source_env = "FAKE_KEY"
+    api_turns = [{"kind": "customer_service_agent"}, {"kind": "quality_judge"}]
+
+    def usage_summary(self):
+        return {"total_tokens": 2, "provider_reported_cost_usd": 0.0}
+
+
+class RealCampaignAcceptanceTest(unittest.TestCase):
+    def test_review_route_excludes_risky_case_from_learning(self):
+        from verifier import TrajectoryVerifier
+
+        trajectory = {
+            "id": "privacy",
+            "expected_outcome": {"order_status": "confirmed"},
+            "final_state": {"order_status": "confirmed"},
+            "messages": [{"turn": 2, "role": "assistant", "content": "tok_secret"}],
+            "sensitive_values": [{"label": "token", "value": "tok_secret"}],
+            "quality_facts": {},
+        }
+        report = TrajectoryVerifier().evaluate(trajectory)
+        self.assertTrue(report["review"]["required"])
+        self.assertFalse(report["eligible_as_automatic_learning_signal"])
+        self.assertEqual("reject", report["release_recommendation"])
+
+
+if __name__ == "__main__":
+    unittest.main()