llama_cpp server: mark model as required
`model` is ignored, but currently marked "optional"... on the one hand could mark "required" to make it explicit in case the server supports multiple llama's at the same time, but also could delete it since its ignored. decision: mark it required for the sake of openai api compatibility. I think out of all parameters, `model` is probably the most important one for people to keep using even if its ignored for now.
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1 changed files with 12 additions and 5 deletions
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@ -66,6 +66,10 @@ def get_llama():
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with llama_lock:
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yield llama
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model_field = Field(
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description="The model to use for generating completions."
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)
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class CreateCompletionRequest(BaseModel):
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prompt: Union[str, List[str]]
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suffix: Optional[str] = Field(None)
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@ -76,8 +80,9 @@ class CreateCompletionRequest(BaseModel):
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stop: Optional[List[str]] = []
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stream: bool = False
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# ignored or currently unsupported
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model: Optional[str] = Field(None)
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# ignored, but marked as required for the sake of compatibility with openai's api
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model: str = model_field
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n: Optional[int] = 1
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logprobs: Optional[int] = Field(None)
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presence_penalty: Optional[float] = 0
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@ -133,7 +138,8 @@ def create_completion(
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class CreateEmbeddingRequest(BaseModel):
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model: Optional[str]
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# ignored, but marked as required for the sake of compatibility with openai's api
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model: str = model_field
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input: str
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user: Optional[str]
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@ -173,8 +179,9 @@ class CreateChatCompletionRequest(BaseModel):
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stop: Optional[List[str]] = []
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max_tokens: int = 128
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# ignored or currently unsupported
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model: Optional[str] = Field(None)
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# ignored, but marked as required for the sake of compatibility with openai's api
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model: str = model_field
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n: Optional[int] = 1
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presence_penalty: Optional[float] = 0
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frequency_penalty: Optional[float] = 0
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