thoughtSignature?: never;

}

export interface CodeExecutionTool {

codeExecution: {};

}

toJSON(): SchemaRequest;

}

// (undocumented)

params: StartTemplateChatParams;

// (undocumented)

sendMessage(request: string | Array<string | Part>, singleRequestOptions?: SingleRequestOptions): Promise<GenerateContentResult>;

sendMessageStream(request: string | Array<string | Part>, singleRequestOptions?: SingleRequestOptions): Promise<GenerateContentStreamResult>;

}

templateFunctions?: TemplateFunctionDeclarationInternal[];

}

export interface TemplateGenerateContentRequest {

// (undocumented)

[key: string]: unknown;

export type ThinkingLevel = (typeof ThinkingLevel)[keyof typeof ThinkingLevel];

export type Tool = FunctionDeclarationsTool | GoogleSearchTool | CodeExecutionTool | URLContextTool;

export type TypedSchema = IntegerSchema | NumberSchema | StringSchema | BooleanSchema | ObjectSchema | ArraySchema | AnyOfSchema;

export interface URLContext {

}

urlMetadata: URLMetadata[];

}

export interface URLContextTool {

urlContext: URLContext;

}

path: /docs/reference/js/ai.templatefunctiondeclaration.md

- title: TemplateFunctionDeclarationsTool

path: /docs/reference/js/ai.templatefunctiondeclarationstool.md

- title: TemplateGenerativeModel

path: /docs/reference/js/ai.templategenerativemodel.md

- title: TemplateImagenModel

{% endcomment %}

A tool that enables the model to use code execution.

<b>Signature:</b>

| Property | Type | Description |

| --- | --- | --- |

## CodeExecutionTool.codeExecution

<b>Signature:</b>

| [ObjectSchema](./ai.objectschema.md#objectschema_class) | Schema class for "object" types. The <code>properties</code> param must be a map of <code>Schema</code> objects. |

| [Schema](./ai.schema.md#schema_class) | Parent class encompassing all Schema types, with static methods that allow building specific Schema types. This class can be converted with <code>JSON.stringify()</code> into a JSON string accepted by Vertex AI REST endpoints. (This string conversion is automatically done when calling SDK methods.) |

| [StringSchema](./ai.stringschema.md#stringschema_class) | Schema class for "string" types. Can be used with or without enum values. |

| [TemplateGenerativeModel](./ai.templategenerativemodel.md#templategenerativemodel_class) | <b><i>(Public Preview)</i></b> [GenerativeModel](./ai.generativemodel.md#generativemodel_class) APIs that execute on a server-side template.<!-- -->This class should only be instantiated with [getTemplateGenerativeModel()](./ai.md#gettemplategenerativemodel_9476bbc)<!-- -->. |

| [TemplateImagenModel](./ai.templateimagenmodel.md#templateimagenmodel_class) | Class for Imagen model APIs that execute on a server-side template.<!-- -->This class should only be instantiated with [getTemplateImagenModel()](./ai.md#gettemplateimagenmodel_9476bbc)<!-- -->. |

| [VertexAIBackend](./ai.vertexaibackend.md#vertexaibackend_class) | Configuration class for the Vertex AI Gemini API.<!-- -->Use this with [AIOptions](./ai.aioptions.md#aioptions_interface) when initializing the AI service via [getAI()](./ai.md#getai_a94a413) to specify the Vertex AI Gemini API as the backend. |

| [CitationMetadata](./ai.citationmetadata.md#citationmetadata_interface) | Citation metadata that may be found on a [GenerateContentCandidate](./ai.generatecontentcandidate.md#generatecontentcandidate_interface)<!-- -->. |

| [CodeExecutionResult](./ai.codeexecutionresult.md#codeexecutionresult_interface) | The results of code execution run by the model. |

| [CodeExecutionResultPart](./ai.codeexecutionresultpart.md#codeexecutionresultpart_interface) | Represents the code execution result from the model. |

| [Content](./ai.content.md#content_interface) | Content type for both prompts and response candidates. |

| [CountTokensRequest](./ai.counttokensrequest.md#counttokensrequest_interface) | Params for calling [GenerativeModel.countTokens()](./ai.generativemodel.md#generativemodelcounttokens) |

| [CountTokensResponse](./ai.counttokensresponse.md#counttokensresponse_interface) | Response from calling [GenerativeModel.countTokens()](./ai.generativemodel.md#generativemodelcounttokens)<!-- -->. |

| [StartAudioConversationOptions](./ai.startaudioconversationoptions.md#startaudioconversationoptions_interface) | <b><i>(Public Preview)</i></b> Options for [startAudioConversation()](./ai.md#startaudioconversation_01c8e7f)<!-- -->. |

| [StartChatParams](./ai.startchatparams.md#startchatparams_interface) | Params for [GenerativeModel.startChat()](./ai.generativemodel.md#generativemodelstartchat)<!-- -->. |

| [StartTemplateChatParams](./ai.starttemplatechatparams.md#starttemplatechatparams_interface) | <b><i>(Public Preview)</i></b> Params for [TemplateGenerativeModel.startChat()](./ai.templategenerativemodel.md#templategenerativemodelstartchat)<!-- -->. |

| [TemplateFunctionDeclaration](./ai.templatefunctiondeclaration.md#templatefunctiondeclaration_interface) | <b><i>(Public Preview)</i></b> Structured representation of a template function declaration. Included in this declaration are the function name and parameters. This <code>TemplateFunctionDeclaration</code> is a representation of a block of code that can be used as a Tool by the model and executed by the client. Note: Template function declarations do not support description fields. |

| [TemplateFunctionDeclarationsTool](./ai.templatefunctiondeclarationstool.md#templatefunctiondeclarationstool_interface) | <b><i>(Public Preview)</i></b> A piece of code that enables the system to interact with external systems. |

| [TextPart](./ai.textpart.md#textpart_interface) | Content part interface if the part represents a text string. |

| [ThinkingConfig](./ai.thinkingconfig.md#thinkingconfig_interface) | Configuration for "thinking" behavior of compatible Gemini models.<!-- -->Certain models utilize a thinking process before generating a response. This allows them to reason through complex problems and plan a more coherent and accurate answer. |

| [ToolConfig](./ai.toolconfig.md#toolconfig_interface) | Tool config. This config is shared for all tools provided in the request. |

| [Transcription](./ai.transcription.md#transcription_interface) | <b><i>(Public Preview)</i></b> Transcription of audio. This can be returned from a [LiveGenerativeModel](./ai.livegenerativemodel.md#livegenerativemodel_class) if transcription is enabled with the <code>inputAudioTranscription</code> or <code>outputAudioTranscription</code> properties on the [LiveGenerationConfig](./ai.livegenerationconfig.md#livegenerationconfig_interface)<!-- -->. |

| [URLContextMetadata](./ai.urlcontextmetadata.md#urlcontextmetadata_interface) | Metadata related to [URLContextTool](./ai.urlcontexttool.md#urlcontexttool_interface)<!-- -->. |

| [URLMetadata](./ai.urlmetadata.md#urlmetadata_interface) | Metadata for a single URL retrieved by the [URLContextTool](./ai.urlcontexttool.md#urlcontexttool_interface) tool. |

| [UsageMetadata](./ai.usagemetadata.md#usagemetadata_interface) | Usage metadata about a [GenerateContentResponse](./ai.generatecontentresponse.md#generatecontentresponse_interface)<!-- -->. |

| [VideoMetadata](./ai.videometadata.md#videometadata_interface) | Describes the input video content. |

{% endcomment %}

<b>Signature:</b>

```

## Properties

## Methods

> This API is provided as a preview for developers and may change based on feedback that we receive. Do not use this API in a production environment.

>

<b>Signature:</b>

```typescript

```

> This API is provided as a preview for developers and may change based on feedback that we receive. Do not use this API in a production environment.

>

<b>Signature:</b>

```typescript

```

> This API is provided as a preview for developers and may change based on feedback that we receive. Do not use this API in a production environment.

>

<b>Signature:</b>

```typescript

```

## TemplateChatSession.sendMessage()