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fix: change logprobs type from bool to int in Completions endpoint #5343

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fix: change logprobs type from bool to int in Completions endpoint #5343

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7 changes: 5 additions & 2 deletions docs/static/llama-stack-spec.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -4129,9 +4129,12 @@ components:
description: The logit bias to use.
logprobs:
anyOf:
- type: boolean
- type: integer
maximum: 5.0
minimum: 0.0
- type: 'null'
description: The log probabilities to use.
description: Include the log probabilities on the logprobs most likely output
tokens.
max_tokens:
anyOf:
- type: integer
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2 changes: 1 addition & 1 deletion src/llama_stack_api/inference/models.py
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Expand Up @@ -891,7 +891,7 @@ class OpenAICompletionRequestWithExtraBody(BaseModel, extra="allow"):
default=None, ge=-2.0, le=2.0, description="The penalty for repeated tokens."
)
logit_bias: dict[str, float] | None = Field(default=None, description="The logit bias to use.")
logprobs: bool | None = Field(default=None, description="The log probabilities to use.")
logprobs: int | None = Field(default=None, ge=0, le=5, description="Include the log probabilities on the logprobs most likely output tokens.")
max_tokens: int | None = Field(default=None, ge=1, description="The maximum number of tokens to generate.")
n: int | None = Field(default=None, ge=1, description="The number of completions to generate.")
presence_penalty: float | None = Field(
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