autogen.oai.gemini.GeminiLLMConfigEntry

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GeminiLLMConfigEntry

GeminiLLMConfigEntry(**data: Any)

!!! abstract “Usage Documentation” Models

A base class for creating Pydantic models.

Parameters:

Name	Description
**data	Type: Any

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Class Attributes

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api_type

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credentials

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google_application_credentials

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location

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model_config

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price

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project_id

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safety_settings

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stream

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tool_config

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Instance Methods

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create_client

create_client(self) -> 

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model_dump

model_dump(
    self,
    *args: Any,
    exclude_none: bool = True,
    **kwargs: Any
) -> dict[str, Any]

!!! abstract “Usage Documentation” model_dump

Generate a dictionary representation of the model, optionally specifying which fields to include or exclude.

Parameters:

Name	Description
*args	Type: Any
exclude_none	Whether to exclude fields that have a value of None. Type: bool Default: True
**kwargs	Type: Any

Returns:

Type	Description
dict[str, typing.Any]	A dictionary representation of the model.

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model_dump_json

model_dump_json(
    self,
    *args: Any,
    exclude_none: bool = True,
    **kwargs: Any
) -> str

!!! abstract “Usage Documentation” model_dump_json

Generates a JSON representation of the model using Pydantic’s to_json method.

Parameters:

Name	Description
*args	Type: Any
exclude_none	Whether to exclude fields that have a value of None. Type: bool Default: True
**kwargs	Type: Any

Returns:

Type	Description
str	A JSON string representation of the model.