Google Cloud Ai Platform V1 Client - Class GenerateContentRequest (1.1.0)

Reference documentation and code samples for the Google Cloud Ai Platform V1 Client class GenerateContentRequest.

Request message for [PredictionService.GenerateContent].

Generated from protobuf message google.cloud.aiplatform.v1.GenerateContentRequest

Namespace

Google \ Cloud \ AIPlatform \ V1

Methods

__construct

Constructor.

Parameters
Name	Description
`data`	`array` Optional. Data for populating the Message object.
`↳ model`	`string` Required. The name of the publisher model requested to serve the prediction. Format: `projects/{project}/locations/{location}/publishers//models/`
`↳ contents`	`array<Google\Cloud\AIPlatform\V1\Content>` Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries, this is a repeated field that contains conversation history + latest request.
`↳ system_instruction`	`Google\Cloud\AIPlatform\V1\Content` Optional. The user provided system instructions for the model. Note: only text should be used in parts and content in each part will be in a separate paragraph.
`↳ tools`	`array<Google\Cloud\AIPlatform\V1\Tool>` Optional. A list of `Tools` the model may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.
`↳ tool_config`	`Google\Cloud\AIPlatform\V1\ToolConfig` Optional. Tool config. This config is shared for all tools provided in the request.
`↳ safety_settings`	`array<Google\Cloud\AIPlatform\V1\SafetySetting>` Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.
`↳ generation_config`	`Google\Cloud\AIPlatform\V1\GenerationConfig` Optional. Generation config.

getModel

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

Returns
Type	Description
`string`

setModel

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

Parameter
Name	Description
`var`	`string`

Returns
Type	Description
`$this`

getContents

Required. The content of the current conversation with the model.

For single-turn queries, this is a single instance. For multi-turn queries, this is a repeated field that contains conversation history + latest request.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

setContents

Required. The content of the current conversation with the model.

For single-turn queries, this is a single instance. For multi-turn queries, this is a repeated field that contains conversation history + latest request.

Parameter
Name	Description
`var`	`array<Google\Cloud\AIPlatform\V1\Content>`

Returns
Type	Description
`$this`

getSystemInstruction

Optional. The user provided system instructions for the model.

Note: only text should be used in parts and content in each part will be in a separate paragraph.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\Content\|null`

hasSystemInstruction

clearSystemInstruction

setSystemInstruction

Optional. The user provided system instructions for the model.

Note: only text should be used in parts and content in each part will be in a separate paragraph.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\Content`

Returns
Type	Description
`$this`

getTools

Optional. A list of Tools the model may use to generate the next response.

A Tool is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

setTools

Optional. A list of Tools the model may use to generate the next response.

A Tool is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model.

Parameter
Name	Description
`var`	`array<Google\Cloud\AIPlatform\V1\Tool>`

Returns
Type	Description
`$this`

getToolConfig

Optional. Tool config. This config is shared for all tools provided in the request.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\ToolConfig\|null`

hasToolConfig

clearToolConfig

setToolConfig

Optional. Tool config. This config is shared for all tools provided in the request.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\ToolConfig`

Returns
Type	Description
`$this`

getSafetySettings

Optional. Per request settings for blocking unsafe content.

Enforced on GenerateContentResponse.candidates.

Returns
Type	Description
`Google\Protobuf\Internal\RepeatedField`

setSafetySettings

Optional. Per request settings for blocking unsafe content.

Enforced on GenerateContentResponse.candidates.

Parameter
Name	Description
`var`	`array<Google\Cloud\AIPlatform\V1\SafetySetting>`

Returns
Type	Description
`$this`

getGenerationConfig

Optional. Generation config.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\GenerationConfig\|null`

hasGenerationConfig

clearGenerationConfig

setGenerationConfig

Optional. Generation config.

Parameter
Name	Description
`var`	`Google\Cloud\AIPlatform\V1\GenerationConfig`

Returns
Type	Description
`$this`

static::build

Parameters

Name Description

model

string

Required. The name of the publisher model requested to serve the prediction. Format: projects/{project}/locations/{location}/publishers/*/models/*

contents

array<Google\Cloud\AIPlatform\V1\Content>

Required. The content of the current conversation with the model.

For single-turn queries, this is a single instance. For multi-turn queries, this is a repeated field that contains conversation history + latest request.

Returns
Type	Description
`Google\Cloud\AIPlatform\V1\GenerateContentRequest`