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fix supports vision
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parent
6e86e4291a
commit
341f88d191
3 changed files with 10 additions and 5 deletions
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@ -4,6 +4,9 @@ model_list:
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model: openai/fake
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api_key: fake-key
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api_base: https://exampleopenaiendpoint-production.up.railway.app/
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- model_name: gemini-flash
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litellm_params:
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model: gemini/gemini-1.5-flash
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general_settings:
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master_key: sk-1234
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@ -73,6 +73,7 @@ class ModelInfo(TypedDict, total=False):
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supported_openai_params: Required[Optional[List[str]]]
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supports_system_messages: Optional[bool]
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supports_response_schema: Optional[bool]
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supports_vision: Optional[bool]
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class GenericStreamingChunk(TypedDict):
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@ -4829,6 +4829,7 @@ def get_model_info(model: str, custom_llm_provider: Optional[str] = None) -> Mod
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supports_response_schema=_model_info.get(
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"supports_response_schema", None
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),
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supports_vision=_model_info.get("supports_vision", None),
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)
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except Exception:
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raise Exception(
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@ -8126,7 +8127,7 @@ class CustomStreamWrapper:
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if chunk.startswith(self.complete_response):
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# Remove last_sent_chunk only if it appears at the start of the new chunk
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chunk = chunk[len(self.complete_response):]
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chunk = chunk[len(self.complete_response) :]
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self.complete_response += chunk
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return chunk
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@ -10124,7 +10125,7 @@ def mock_completion_streaming_obj(
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model_response, mock_response, model, n: Optional[int] = None
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):
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for i in range(0, len(mock_response), 3):
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completion_obj = Delta(role="assistant", content=mock_response[i: i + 3])
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completion_obj = Delta(role="assistant", content=mock_response[i : i + 3])
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if n is None:
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model_response.choices[0].delta = completion_obj
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else:
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@ -10133,7 +10134,7 @@ def mock_completion_streaming_obj(
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_streaming_choice = litellm.utils.StreamingChoices(
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index=j,
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delta=litellm.utils.Delta(
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role="assistant", content=mock_response[i: i + 3]
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role="assistant", content=mock_response[i : i + 3]
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),
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)
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_all_choices.append(_streaming_choice)
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@ -10145,7 +10146,7 @@ async def async_mock_completion_streaming_obj(
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model_response, mock_response, model, n: Optional[int] = None
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):
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for i in range(0, len(mock_response), 3):
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completion_obj = Delta(role="assistant", content=mock_response[i: i + 3])
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completion_obj = Delta(role="assistant", content=mock_response[i : i + 3])
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if n is None:
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model_response.choices[0].delta = completion_obj
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else:
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@ -10154,7 +10155,7 @@ async def async_mock_completion_streaming_obj(
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_streaming_choice = litellm.utils.StreamingChoices(
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index=j,
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delta=litellm.utils.Delta(
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role="assistant", content=mock_response[i: i + 3]
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role="assistant", content=mock_response[i : i + 3]
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),
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)
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_all_choices.append(_streaming_choice)
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