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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>
-
(::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>
-
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.
-
(::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
- (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config.
#generation_config=
def generation_config=(value) -> ::Google::Cloud::AIPlatform::V1::GenerationConfig
- value (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config.
- (::Google::Cloud::AIPlatform::V1::GenerationConfig) — Optional. Generation config.
#model
def model() -> ::String
-
(::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
-
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}
-
(::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>
- (::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>
- value (::Array<::Google::Cloud::AIPlatform::V1::SafetySetting>) — Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.
- (::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
- (::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
- 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.
- (::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
- (::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
- value (::Google::Cloud::AIPlatform::V1::ToolConfig) — Optional. Tool config. This config is shared for all tools provided in the request.
- (::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>
-
(::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>
-
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.
-
(::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.