revert last_response default, Response() -> None

libs/ai-endpoints/langchain_nvidia_ai_endpoints/_common.py

@@ -101,7 +101,7 @@ class _NVIDIAClient(BaseModel):
         default={}, description="Last inputs sent over to the server"
     )
     last_response: Optional[Response] = Field(
-        Response(), description="Last response sent from the server"
+        None, description="Last response sent from the server"
     )
     headers_tmpl: dict = Field(
         {

libs/ai-endpoints/tests/integration_tests/test_chat_models.py

@@ -236,7 +236,6 @@ def test_ai_endpoints_invoke_max_tokens_negative_a(
     with pytest.raises(Exception):
         llm = ChatNVIDIA(model=chat_model, max_tokens=max_tokens, **mode)
         llm.invoke("Show me the tokens")
-    assert llm._client.last_response
     assert llm._client.last_response.status_code in [400, 422]
     assert "max_tokens" in str(llm._client.last_response.content)
 
@@ -251,7 +250,6 @@ def test_ai_endpoints_invoke_max_tokens_negative_b(
     with pytest.raises(Exception):
         llm = ChatNVIDIA(model=chat_model, max_tokens=max_tokens, **mode)
         llm.invoke("Show me the tokens")
-    assert llm._client.last_response
     assert llm._client.last_response.status_code in [400, 422]
     # custom error string -
     #    model inference failed -- ValueError: A requested length of the model output
@@ -308,7 +306,6 @@ def test_ai_endpoints_invoke_seed_default(chat_model: str, mode: dict) -> None:
 def test_ai_endpoints_invoke_seed_range(chat_model: str, mode: dict, seed: int) -> None:
     llm = ChatNVIDIA(model=chat_model, seed=seed, **mode)
     llm.invoke("What's in a seed?")
-    assert llm._client.last_response
     assert llm._client.last_response.status_code == 200
 
 
@@ -335,7 +332,6 @@ def test_ai_endpoints_invoke_temperature_negative(
     with pytest.raises(Exception):
         llm = ChatNVIDIA(model=chat_model, temperature=temperature, **mode)
         llm.invoke("What's in a temperature?")
-    assert llm._client.last_response
     assert llm._client.last_response.status_code in [400, 422]
     assert "temperature" in str(llm._client.last_response.content)
 
@@ -364,7 +360,6 @@ def test_ai_endpoints_invoke_top_p_negative(
     with pytest.raises(Exception):
         llm = ChatNVIDIA(model=chat_model, top_p=top_p, **mode)
         llm.invoke("What's in a top_p?")
-    assert llm._client.last_response
     assert llm._client.last_response.status_code in [400, 422]
     assert "top_p" in str(llm._client.last_response.content)