Vertex AI V1 API - Class Google::Cloud::AIPlatform::V1::GenerateContentRequest (v0.49.0)

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Reference documentation and code samples for the Vertex AI V1 API class Google::Cloud::AIPlatform::V1::GenerateContentRequest.

Request message for [PredictionService.GenerateContent].

Inherits

• Object

Extended By

• Google::Protobuf::MessageExts::ClassMethods

Includes

• Google::Protobuf::MessageExts

Methods

#contents

def contents() -> ::Array<::Google::Cloud::AIPlatform::V1::Content>

Returns

• (::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.

#contents=

def contents=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::Content>

Parameter

• value (::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

• (::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.

#generation_config

def generation_config() -> ::Google::Cloud::AIPlatform::V1::GenerationConfig

Returns

• (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config.

#generation_config=

def generation_config=(value) -> ::Google::Cloud::AIPlatform::V1::GenerationConfig

Parameter

• value (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config.

Returns

• (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config.

#model

def model() -> ::String

Returns

• (::String) — Required. The fully qualified name of the publisher model or tuned model endpoint to use.

  Publisher model format: projects/{project}/locations/{location}/publishers/*/models/*

  Tuned model endpoint format: projects/{project}/locations/{location}/endpoints/{endpoint}

#model=

def model=(value) -> ::String

Parameter

• value (::String) — Required. The fully qualified name of the publisher model or tuned model endpoint to use.

  Publisher model format: projects/{project}/locations/{location}/publishers/*/models/*

  Tuned model endpoint format: projects/{project}/locations/{location}/endpoints/{endpoint}

Returns

• (::String) — Required. The fully qualified name of the publisher model or tuned model endpoint to use.

  Publisher model format: projects/{project}/locations/{location}/publishers/*/models/*

  Tuned model endpoint format: projects/{project}/locations/{location}/endpoints/{endpoint}

#safety_settings

def safety_settings() -> ::Array<::Google::Cloud::AIPlatform::V1::SafetySetting>

Returns

• (::Array<::Google::Cloud::AIPlatform::V1::SafetySetting>) — Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.

#safety_settings=

def safety_settings=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::SafetySetting>

Parameter

• value (::Array<::Google::Cloud::AIPlatform::V1::SafetySetting>) — Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.

Returns

• (::Array<::Google::Cloud::AIPlatform::V1::SafetySetting>) — Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.

#system_instruction

def system_instruction() -> ::Google::Cloud::AIPlatform::V1::Content

Returns

• (::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.

#system_instruction=

def system_instruction=(value) -> ::Google::Cloud::AIPlatform::V1::Content

Parameter

• value (::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.

Returns

• (::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.

#tool_config

def tool_config() -> ::Google::Cloud::AIPlatform::V1::ToolConfig

Returns

• (::Google::Cloud::AIPlatform::V1::ToolConfig) — Optional. Tool config. This config is shared for all tools provided in the request.

#tool_config=

def tool_config=(value) -> ::Google::Cloud::AIPlatform::V1::ToolConfig

Parameter

• value (::Google::Cloud::AIPlatform::V1::ToolConfig) — Optional. Tool config. This config is shared for all tools provided in the request.

Returns

• (::Google::Cloud::AIPlatform::V1::ToolConfig) — Optional. Tool config. This config is shared for all tools provided in the request.

#tools

def tools() -> ::Array<::Google::Cloud::AIPlatform::V1::Tool>

Returns

• (::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.

#tools=

def tools=(value) -> ::Array<::Google::Cloud::AIPlatform::V1::Tool>

Parameter

• value (::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.

Returns

• (::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.