Module llm (2.29.0)

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LLM models.

Classes

Claude3TextGenerator

Claude3TextGenerator(
    *,
    model_name: typing.Optional[
        typing.Literal[
            "claude-3-sonnet", "claude-3-haiku", "claude-3-5-sonnet", "claude-3-opus"
        ]
    ] = None,
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None
)

Claude3 text generator LLM model.

Go to Google Cloud Console -> Vertex AI -> Model Garden page to enable the models before use. Must have the Consumer Procurement Entitlement Manager Identity and Access Management (IAM) role to enable the models. https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-partner-models#grant-permissions

Note: This product or feature is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is" and might have limited support. For more information, see the launch stage descriptions (https://cloud.google.com/products#product-launch-stages).

The models only available in specific regions. Check https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude#regions for details.

Note: claude-3-sonnet model is deprecated. Use other models instead.

GeminiTextGenerator

GeminiTextGenerator(
    *,
    model_name: typing.Optional[
        typing.Literal[
            "gemini-1.5-pro-preview-0514",
            "gemini-1.5-flash-preview-0514",
            "gemini-1.5-pro-001",
            "gemini-1.5-pro-002",
            "gemini-1.5-flash-001",
            "gemini-1.5-flash-002",
            "gemini-2.0-flash-exp",
            "gemini-2.0-flash-001",
            "gemini-2.0-flash-lite-001",
        ]
    ] = None,
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None,
    max_iterations: int = 300
)

Gemini text generator LLM model.

Note: gemini-1.5-X are going to be deprecated. Use gemini-2.0-X (https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.ml.llm.GeminiTextGenerator) instead.

MultimodalEmbeddingGenerator

MultimodalEmbeddingGenerator(
    *,
    model_name: typing.Optional[typing.Literal["multimodalembedding@001"]] = None,
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None
)

Multimodal embedding generator LLM model.

Note: BigFrames Blob is subject to the "Pre-GA Offerings Terms" in the General Service Terms section of the Service Specific Terms(https://cloud.google.com/terms/service-terms#1). Pre-GA products and features are available "as is" and might have limited support. For more information, see the launch stage descriptions (https://cloud.google.com/products#product-launch-stages).

TextEmbeddingGenerator

TextEmbeddingGenerator(
    *,
    model_name: typing.Optional[
        typing.Literal[
            "text-embedding-005",
            "text-embedding-004",
            "text-multilingual-embedding-002",
        ]
    ] = None,
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None
)

Text embedding generator LLM model.

Note: text-embedding-004 is going to be deprecated. Use text-embedding-005(https://cloud.google.com/python/docs/reference/bigframes/latest/bigframes.ml.llm.TextEmbeddingGenerator) instead.