Resource: Generator
LLM generator.
JSON representation |
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{ "name": string, "description": string, "inferenceParameter": { object ( |
Fields | |
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name |
Output only. Identifier. The resource name of the generator. Format: |
description |
Optional. Human readable description of the generator. |
inferenceParameter |
Optional. Inference parameters for this generator. |
triggerEvent |
Optional. The trigger event of the generator. It defines when the generator is triggered in a conversation. |
createTime |
Output only. Creation time of this generator. Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: |
updateTime |
Output only. Update time of this generator. Uses RFC 3339, where generated output will always be Z-normalized and uses 0, 3, 6 or 9 fractional digits. Offsets other than "Z" are also accepted. Examples: |
Union field context . Required. Input context of the generator. context can be only one of the following: |
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freeFormContext |
Input of free from generator to LLM. |
summarizationContext |
Input of prebuilt Summarization feature. |
Union field foundation_model . The foundation model to use for generating suggestions. If a foundation model isn't specified here, a model specifically tuned for the feature type (and version when applicable) will be used. foundation_model can be only one of the following: |
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publishedModel |
Optional. The published Large Language Model name. * To use the latest model version, specify the model name without version number. Example: |
Methods |
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Creates a generator. |
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Deletes a generator. |
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Retrieves a generator. |
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Lists generators. |
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Updates a generator. |