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docs(input.md): update docs with parallel_tool_calls
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@ -97,6 +97,7 @@ def completion(
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seed: Optional[int] = None,
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seed: Optional[int] = None,
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tools: Optional[List] = None,
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tools: Optional[List] = None,
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tool_choice: Optional[str] = None,
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tool_choice: Optional[str] = None,
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parallel_tool_calls: Optional[bool] = None,
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logprobs: Optional[bool] = None,
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logprobs: Optional[bool] = None,
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top_logprobs: Optional[int] = None,
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top_logprobs: Optional[int] = None,
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deployment_id=None,
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deployment_id=None,
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@ -170,6 +171,8 @@ def completion(
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- `none` is the default when no functions are present. `auto` is the default if functions are present.
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- `none` is the default when no functions are present. `auto` is the default if functions are present.
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- `parallel_tool_calls`: *boolean (optional)* - Whether to enable parallel function calling during tool use.. OpenAI default is true.
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- `frequency_penalty`: *number or null (optional)* - It is used to penalize new tokens based on their frequency in the text so far.
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- `frequency_penalty`: *number or null (optional)* - It is used to penalize new tokens based on their frequency in the text so far.
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- `logit_bias`: *map (optional)* - Used to modify the probability of specific tokens appearing in the completion.
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- `logit_bias`: *map (optional)* - Used to modify the probability of specific tokens appearing in the completion.
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