module pixeltable.functions.gemini

Pixeltable UDFs that wrap various endpoints from the Google Gemini API. In order to use them, you must first pip install google-genai and configure your Gemini credentials, as described in the Working with Gemini tutorial.

func invoke_tools()

invoke_tools(
    tools: pixeltable.func.tools.Tools,
    response: pixeltable.exprs.expr.Expr
) -> pixeltable.exprs.inline_expr.InlineDict

Converts an OpenAI response dict to Pixeltable tool invocation format and calls tools._invoke().

udf generate_content()

generate_content(
    contents: String,
    *,
    model: String,
    config: Json | None = None,
    tools: Json | None = None
) -> Json

Generate content from the specified model. For additional details, see: https://ai.google.dev/gemini-api/docs/text-generation Request throttling: Applies the rate limit set in the config (section gemini.rate_limits; use the model id as the key). If no rate limit is configured, uses a default of 600 RPM. Requirements:

pip install google-genai

Parameters:

contents (String): The input content to generate from.
model (String): The name of the model to use.
config (Json | None): Configuration for generation, corresponding to keyword arguments of genai.types.GenerateContentConfig. For details on the parameters, see: https://googleapis.github.io/python-genai/genai.html#module-genai.types
tools (Json | None): An optional list of Pixeltable tools to use. It is also possible to specify tools manually via the config['tools'] parameter, but at most one of config['tools'] or tools may be used.

Returns:

Json: A dictionary containing the response and other metadata.

Examples: Add a computed column that applies the model gemini-2.0-flash to an existing Pixeltable column tbl.prompt of the table tbl:

tbl.add_computed_column(
    response=generate_content(tbl.prompt, model='gemini-2.0-flash')
)

udf generate_images()

generate_images(
    prompt: String,
    *,
    model: String,
    config: Json | None = None
) -> Image

Generates images based on a text description and configuration. For additional details, see: https://ai.google.dev/gemini-api/docs/image-generation Request throttling: Applies the rate limit set in the config (section imagen.rate_limits; use the model id as the key). If no rate limit is configured, uses a default of 600 RPM. Requirements:

pip install google-genai

Parameters:

prompt (String): A text description of the images to generate.
model (String): The model to use.
config (Json | None): Configuration for generation, corresponding to keyword arguments of genai.types.GenerateImagesConfig. For details on the parameters, see: https://googleapis.github.io/python-genai/genai.html#module-genai.types

Returns:

Image: The generated image.

Examples: Add a computed column that applies the model imagen-4.0-generate-001 to an existing Pixeltable column tbl.prompt of the table tbl:

tbl.add_computed_column(
    response=generate_images(tbl.prompt, model='imagen-4.0-generate-001')
)

udf generate_videos()

generate_videos(
    prompt: String | None = None,
    image: Image | None = None,
    *,
    model: String,
    config: Json | None = None
) -> Video

Generates videos based on a text description and configuration. For additional details, see: https://ai.google.dev/gemini-api/docs/video Request throttling: Applies the rate limit set in the config (section veo.rate_limits; use the model id as the key). If no rate limit is configured, uses a default of 600 RPM. Requirements:

pip install google-genai

Parameters:

prompt (String | None): A text description of the videos to generate.
image (Image | None): An optional image to use as the first frame of the video. At least one of prompt or image must be provided. (It is ok to specify both.)
model (String): The model to use.
config (Json | None): Configuration for generation, corresponding to keyword arguments of genai.types.GenerateVideosConfig. For details on the parameters, see: https://googleapis.github.io/python-genai/genai.html#module-genai.types

Returns:

Video: The generated video.

Examples: Add a computed column that applies the model veo-2.0-generate-001 to an existing Pixeltable column tbl.prompt of the table tbl:

tbl.add_computed_column(
    response=generate_videos(tbl.prompt, model='veo-2.0-generate-001')
)

​module pixeltable.functions.gemini

​func invoke_tools()

​udf generate_content()

​udf generate_images()

​udf generate_videos()

module pixeltable.functions.gemini

func invoke_tools()

udf generate_content()

udf generate_images()

udf generate_videos()