feat: add cached prompt tokens and reported model to response types

src/polygateway/types.py

@@ -30,12 +30,20 @@ class LLMResponse:
     ttft_ms: float | None
     max_inter_token_ms: float | None
     cache_hit: bool
+    """**PolyGateway 自身响应缓存**命中(未产生网关调用);与供应商侧 prompt
+    cache 无关,后者见 `cached_prompt_tokens`。"""
     call_id: str
     # —— 库新增(只增不删,必带默认值;迁移兼容硬约束)——
     source_name: str = ""
     cost: float | None = None
     usage_source: str = "measured"
     structured_data: Any | None = None
+    cached_prompt_tokens: int | None = None
+    """供应商 prompt cache 命中的输入 token 数(issue #3);None = 该源未上报,
+    与"上报了但是 0"(真实零命中)区分——两者对下游的处置不同。"""
+    model_reported: str | None = None
+    """API 响应体里的 model 字段;None = 未上报。与 `model`(配置别名)可能
+    分叉——供应商把别名指向新权重时,实验复现必须认这个串。"""
 
 
 @dataclass(frozen=True)
@@ -82,6 +90,9 @@ class TransportResult:
     ttft_ms: float | None
     max_inter_token_ms: float | None
     raw: dict[str, Any]
+    # —— 可观测字段(issue #3;带默认值,非 OpenAI 兼容的 transport 可不填)——
+    cached_prompt_tokens: int | None = None
+    model_reported: str | None = None
 
 
 @dataclass(frozen=True)

tests/unit/test_types.py

@@ -49,6 +49,29 @@ class TestLLMResponse:
         assert resp.usage_source == "measured"
         assert resp.structured_data is None
 
+    def test_observability_fields_default_to_none(self):
+        """issue #3: None = 该源未上报,与"上报了但是 0"区分(0 是真实零命中)。"""
+        resp = LLMResponse("c", "t", "m", "p", 1, 2, 3, None, None, False, "cid")
+        assert resp.cached_prompt_tokens is None
+        assert resp.model_reported is None
+        filled = LLMResponse(
+            "c",
+            "t",
+            "m",
+            "p",
+            1,
+            2,
+            3,
+            None,
+            None,
+            False,
+            "cid",
+            cached_prompt_tokens=0,
+            model_reported="MiniMax-Text-01-250321",
+        )
+        assert filled.cached_prompt_tokens == 0  # 真实零命中,不得与 None 混同
+        assert filled.model_reported == "MiniMax-Text-01-250321"
+
     def test_frozen(self):
         resp = LLMResponse("c", "t", "m", "p", 1, 2, 3, None, None, False, "cid")
         with pytest.raises(dataclasses.FrozenInstanceError):
@@ -222,6 +245,8 @@ class TestAuxTypes:
             raw={"id": "x"},
         )
         assert s.raw["id"] == "x"
+        # issue #3: 新字段带默认值,不填也能构造(OCR 等其他 transport 零改动)
+        assert s.cached_prompt_tokens is None and s.model_reported is None
 
 
 class TestOcrTypes: