AI_COMPLETE (Single image)¶

Syntax¶

The function contains two required arguments and four optional arguments. The function can be used with either positional or named argument syntax.

Using AI_COMPLETE with a single image input

AI_COMPLETE(
    <model>, <predicate>, <file> [, <model_parameters> ] )

Arguments¶

model

A string specifying the model to be used. Specify one of the following models:

• claude-4-opus

• claude-4-sonnet

• claude-3-7-sonnet

• claude-3-5-sonnet

• llama4-maverick

• llama4-scout

• openai-o4-mini

• openai-gpt-4.1

• pixtral-large

Supported models might have different costs.

predicate

A string prompt

file

A FILE type object representing an image

model_parameters An object containing zero or more of the following options that affect the model’s hyperparameters. See LLM Settings.

• temperature: A value from 0 to 1 (inclusive) that controls the randomness of the output of the language model. A higher temperature (for example, 0.7) results in more diverse and random output, while a lower temperature (such as 0.2) makes the output more deterministic and focused.

  Default: 0

• top_p: A value from 0 to 1 (inclusive) that controls the randomness and diversity of the language model, generally used as an alternative to temperature. The difference is that top_p restricts the set of possible tokens that the model outputs, while temperature influences which tokens are chosen at each step.

  Default: 0

• max_tokens: Sets the maximum number of output tokens in the response. Small values can result in truncated responses.

  Default: 4096 Maximum allowed value: 8192

• guardrails: Filters potentially unsafe and harmful responses from a language model using Cortex Guard. Either TRUE or FALSE. The default value is FALSE.

Returns¶

Returns the string response from the language model.

Examples¶

The following examples demonstrate the basic capabilities of the COMPLETE function with images.

Visual question answering¶

A chart of inflation rates is used to answer a question about the data.

SELECT AI_COMPLETE('claude-3-5-sonnet',
    'Which country will observe the largest inflation change in 2024 compared to 2023?',
    TO_FILE('@myimages', 'highest-inflation.png'));

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Response:

Looking at the data, Venezuela will experience the largest change in inflation rates between 2023 and 2024.
The inflation rate in Venezuela is projected to decrease significantly from 337.46% in 2023 to 99.98% in 2024,
representing a reduction of approximately 237.48 percentage points. This is the most dramatic change among
all countries shown in the chart, even though Zimbabwe has higher absolute inflation rates.

Entity extraction from an image¶

This example extracts the entities (objects) from an image and returns the results in JSON format.

SELECT AI_COMPLETE('claude-3-5-sonnet',
    'Extract the kitchen appliances identified in this image. Respond in JSON only with the identified appliances.',
    TO_FILE('@myimages', 'kitchen.png'));

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Response:

{
    "appliances": [ "microwave","electric stove","oven","refrigerator" ]
}

Usage notes for processing images¶

• Only text and images are supported. Video and audio files are not supported.

• Supported image formats:

  • .jpg

  • .jpeg

  • .png

  • .gif

  • .webp

  • pixtral and llama4 models also support .bmp.

• The maximum image size is 10 MB for most models, and 3.75 MB for claude models. claude models do not support images with resolutions above 8000x8000.

• The stage containing the images must have server-side encryption enabled. Client-side encrypted stages are not supported.

• The function does not support custom network policies.

• Stage names are case-insensitive; paths are case-sensitive.