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fix(vertex_httpx.py): fix supported vertex params
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parent
6d2b429176
commit
d0862697b8
4 changed files with 8 additions and 6 deletions
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@ -155,6 +155,7 @@ class VertexAIConfig:
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"response_format",
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"n",
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"stop",
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"extra_headers",
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]
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def map_openai_params(self, non_default_params: dict, optional_params: dict):
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@ -400,7 +401,9 @@ def _gemini_convert_messages_with_history(messages: list) -> List[ContentType]:
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## APPEND TOOL CALL MESSAGES ##
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if msg_i < len(messages) and messages[msg_i]["role"] == "tool":
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_part = convert_to_gemini_tool_call_result(messages[msg_i], last_message_with_tool_calls)
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_part = convert_to_gemini_tool_call_result(
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messages[msg_i], last_message_with_tool_calls
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)
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contents.append(ContentType(parts=[_part])) # type: ignore
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msg_i += 1
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if msg_i == init_msg_i: # prevent infinite loops
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@ -1037,9 +1037,7 @@ class VertexLLM(BaseLLM):
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safety_settings: Optional[List[SafetSettingsConfig]] = optional_params.pop(
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"safety_settings", None
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) # type: ignore
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cached_content: Optional[str] = optional_params.pop(
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"cached_content", None
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)
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cached_content: Optional[str] = optional_params.pop("cached_content", None)
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generation_config: Optional[GenerationConfig] = GenerationConfig(
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**optional_params
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)
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@ -985,6 +985,7 @@ def completion(
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mock_delay=kwargs.get("mock_delay", None),
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custom_llm_provider=custom_llm_provider,
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)
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if custom_llm_provider == "azure":
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# azure configs
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api_type = get_secret("AZURE_API_TYPE") or "azure"
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@ -1113,7 +1113,7 @@ async def test_gemini_pro_httpx_custom_api_base(provider):
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extra_headers={"hello": "world"},
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)
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except Exception as e:
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pass
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print("Receives error - {}\n{}".format(str(e), traceback.format_exc()))
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mock_call.assert_called_once()
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