GeminiRequestReadConfig

Configuration for how to read Gemini requests from a multimodal dataset.

Fields
read_config Union type
The read config for the dataset. read_config can be only one of the following:
templateConfig object (GeminiTemplateConfig)

Gemini request template with placeholders.

assembledRequestColumnName string

Optional. column name in the dataset table that contains already fully assembled Gemini requests.

JSON representation 
{

  // read_config
  "templateConfig": {
    object (GeminiTemplateConfig)
  },
  "assembledRequestColumnName": string
  // Union type
}

GeminiTemplateConfig

Template configuration to create Gemini examples from a multimodal dataset.

Fields
geminiExample object (GeminiExample)

Required. The template that will be used for assembling the request to use for downstream applications.

fieldMapping map (key: string, value: string)

Required. Map of template parameters to the columns in the dataset table.

JSON representation 
{
  "geminiExample": {
    object (GeminiExample)
  },
  "fieldMapping": {
    string: string,
    ...
  }
}

GeminiExample

Format for Gemini examples used for Vertex Multimodal datasets.

Fields
model string

Optional. 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}

contents[] object (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.

cachedContent string

Optional. The name of the cached content used as context to serve the prediction. Note: only used in explicit caching, where users can have control over caching (e.g. what content to cache) and enjoy guaranteed cost savings. Format: projects/{project}/locations/{location}/cachedContents/{cachedContent}

tools[] object (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.

toolConfig object (ToolConfig)

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

labels map (key: string, value: string)

Optional. The labels with user-defined metadata for the request. It is used for billing and reporting only.

label keys and values can be no longer than 63 characters (Unicode codepoints) and can only contain lowercase letters, numeric characters, underscores, and dashes. International characters are allowed. label values are optional. label keys must start with a letter.

safetySettings[] object (SafetySetting)

Optional. Per request settings for blocking unsafe content. Enforced on GenerateContentResponse.candidates.

generationConfig object (GenerationConfig)

Optional. Generation config.

systemInstruction object (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.

JSON representation 
{
  "model": string,
  "contents": [
    {
      object (Content)
    }
  ],
  "cachedContent": string,
  "tools": [
    {
      object (Tool)
    }
  ],
  "toolConfig": {
    object (ToolConfig)
  },
  "labels": {
    string: string,
    ...
  },
  "safetySettings": [
    {
      object (SafetySetting)
    }
  ],
  "generationConfig": {
    object (GenerationConfig)
  },
  "systemInstruction": {
    object (Content)
  }
}