@tanstack/ai
Version:
Core TanStack AI library - Open source AI SDK
132 lines (131 loc) • 5.43 kB
TypeScript
import { StandardJSONSchemaV1 } from '@standard-schema/spec';
import { InferSchemaType, JSONSchema, SchemaInput, Tool, ToolExecutionContext } from '../../../types.js';
/**
* Marker type for server-side tools
*/
export interface ServerTool<TInput extends SchemaInput = SchemaInput, TOutput extends SchemaInput = SchemaInput, TName extends string = string> extends Tool<TInput, TOutput, TName> {
__toolSide: 'server';
}
/**
* Marker type for client-side tools
*/
export interface ClientTool<TInput extends SchemaInput = SchemaInput, TOutput extends SchemaInput = SchemaInput, TName extends string = string> {
__toolSide: 'client';
name: TName;
description: string;
inputSchema?: TInput;
outputSchema?: TOutput;
needsApproval?: boolean;
lazy?: boolean;
metadata?: Record<string, unknown>;
execute?: (args: InferSchemaType<TInput>) => Promise<InferSchemaType<TOutput>> | InferSchemaType<TOutput>;
}
/**
* Tool definition that can be used directly or instantiated for server/client
*/
export interface ToolDefinitionInstance<TInput extends SchemaInput = SchemaInput, TOutput extends SchemaInput = SchemaInput, TName extends string = string> extends Tool<TInput, TOutput, TName> {
__toolSide: 'definition';
}
/**
* Union type for any kind of client-side tool (client tool or definition)
*/
export type AnyClientTool = ClientTool<SchemaInput, SchemaInput> | ToolDefinitionInstance<SchemaInput, SchemaInput>;
/**
* Extract the tool name as a literal type
*/
export type InferToolName<T> = T extends {
name: infer N;
} ? N : never;
/**
* Extract the input type from a tool (inferred from Standard JSON Schema, or `unknown` for plain JSONSchema)
*/
export type InferToolInput<T> = T extends {
inputSchema?: infer TInput;
} ? TInput extends StandardJSONSchemaV1<infer TInferred, unknown> ? TInferred : TInput extends JSONSchema ? unknown : unknown : unknown;
/**
* Extract the output type from a tool (inferred from Standard JSON Schema, or `unknown` for plain JSONSchema)
*/
export type InferToolOutput<T> = T extends {
outputSchema?: infer TOutput;
} ? TOutput extends StandardJSONSchemaV1<infer TInferred, unknown> ? TInferred : TOutput extends JSONSchema ? unknown : unknown : unknown;
/**
* Tool definition configuration
*/
export interface ToolDefinitionConfig<TInput extends SchemaInput = SchemaInput, TOutput extends SchemaInput = SchemaInput, TName extends string = string> {
name: TName;
description: string;
inputSchema?: TInput;
outputSchema?: TOutput;
needsApproval?: boolean;
lazy?: boolean;
metadata?: Record<string, unknown>;
}
/**
* Tool definition builder that allows creating server or client tools from a shared definition
*/
export interface ToolDefinition<TInput extends SchemaInput = SchemaInput, TOutput extends SchemaInput = SchemaInput, TName extends string = string> extends ToolDefinitionInstance<TInput, TOutput, TName> {
/**
* Create a server-side tool with execute function
*/
server: (execute: (args: InferSchemaType<TInput>, context?: ToolExecutionContext) => Promise<InferSchemaType<TOutput>> | InferSchemaType<TOutput>) => ServerTool<TInput, TOutput, TName>;
/**
* Create a client-side tool with optional execute function
*/
client: (execute?: (args: InferSchemaType<TInput>) => Promise<InferSchemaType<TOutput>> | InferSchemaType<TOutput>) => ClientTool<TInput, TOutput, TName>;
}
/**
* Create an isomorphic tool definition that can be used directly or instantiated for server/client
*
* The definition contains all tool metadata (name, description, schemas) and can be:
* 1. Used directly in chat() on the server (as a tool definition without execute)
* 2. Instantiated as a server tool with .server()
* 3. Instantiated as a client tool with .client()
*
* Supports any Standard JSON Schema compliant library (Zod v4+, ArkType, Valibot, etc.)
* or plain JSON Schema objects.
*
* @example
* ```typescript
* import { toolDefinition } from '@tanstack/ai';
* import { z } from 'zod';
*
* // Using Zod (natively supports Standard JSON Schema)
* const addToCartTool = toolDefinition({
* name: 'addToCart',
* description: 'Add a guitar to the shopping cart (requires approval)',
* needsApproval: true,
* inputSchema: z.object({
* guitarId: z.string(),
* quantity: z.number(),
* }),
* outputSchema: z.object({
* success: z.boolean(),
* cartId: z.string(),
* totalItems: z.number(),
* }),
* });
*
* // Use directly in chat (server-side, no execute function)
* chat({
* tools: [addToCartTool],
* // ...
* });
*
* // Or create server-side implementation
* const addToCartServer = addToCartTool.server(async (args) => {
* // args is typed as { guitarId: string; quantity: number }
* return {
* success: true,
* cartId: 'CART_' + Date.now(),
* totalItems: args.quantity,
* };
* });
*
* // Or create client-side implementation
* const addToCartClient = addToCartTool.client(async (args) => {
* // Client-specific logic (e.g., localStorage)
* return { success: true, cartId: 'local', totalItems: 1 };
* });
* ```
*/
export declare function toolDefinition<TInput extends SchemaInput = SchemaInput, TOutput extends SchemaInput = SchemaInput, TName extends string = string>(config: ToolDefinitionConfig<TInput, TOutput, TName>): ToolDefinition<TInput, TOutput, TName>;