content/docs/07-reference/01-ai-sdk-core/22-dynamic-tool.mdx
dynamicTool()The dynamicTool function creates tools where the input and output types are not known at compile time. This is useful for scenarios such as:
Unlike the regular tool function, dynamicTool accepts and returns unknown types, allowing you to work with tools that have runtime-determined schemas.
import { dynamicTool } from 'ai';
import { z } from 'zod';
export const customTool = dynamicTool({
description: 'Execute a custom user-defined function',
inputSchema: z.object({}),
// input is typed as 'unknown'
execute: async input => {
const { action, parameters } = input as any;
// Execute your dynamic logic
return {
result: `Executed ${action} with ${JSON.stringify(parameters)}`,
};
},
});
<Snippet text={import { dynamicTool } from "ai"} prompt={false} />
<PropertiesTable content={[ { name: 'tool', type: 'Object', description: 'The dynamic tool definition.', properties: [ { type: 'Object', parameters: [ { name: 'description', isOptional: true, type: 'string', description: 'Information about the purpose of the tool including details on how and when it can be used by the model.' }, { name: 'title', isOptional: true, type: 'string', description: 'A human-readable title for the tool.' }, { name: 'needsApproval', isOptional: true, type: 'boolean | ((options: { args: unknown }) => boolean | Promise<boolean>)', description: 'Whether the tool needs user approval before execution. Can be a boolean or a function that receives the tool arguments and returns a boolean.' }, { name: 'inputSchema', type: 'FlexibleSchema<unknown>', description: 'The schema of the input that the tool expects. While the type is unknown, a schema is still required for validation. You can use Zod schemas with z.unknown() or z.any() for fully dynamic inputs.' }, { name: 'execute', type: 'ToolExecuteFunction<unknown, unknown>', description: 'An async function that is called with the arguments from the tool call. The input is typed as unknown and must be validated/cast at runtime.', properties: [ { type: "ToolExecutionOptions", parameters: [ { name: 'toolCallId', type: 'string', description: 'The ID of the tool call.', }, { name: "messages", type: "ModelMessage[]", description: "Messages that were sent to the language model." }, { name: "abortSignal", type: "AbortSignal", isOptional: true, description: "An optional abort signal." }, { name: "experimental_context", type: "unknown", isOptional: true, description: "Context that is passed into tool execution. Experimental (can break in patch releases)." } ] } ] }, { name: 'outputSchema', isOptional: true, type: 'Zod Schema | JSON Schema', description: 'The schema of the output that the tool produces. Used for validation and type inference.' }, { name: 'toModelOutput', isOptional: true, type: '({toolCallId: string; input: unknown; output: unknown}) => ToolResultOutput | PromiseLike<ToolResultOutput>', description: 'Optional conversion function that maps the tool result to an output that can be used by the language model.' }, { name: 'onInputStart', isOptional: true, type: '(options: ToolExecutionOptions) => void | PromiseLike<void>', description: 'Optional function that is called when the argument streaming starts. Only called when the tool is used in a streaming context.' }, { name: 'onInputDelta', isOptional: true, type: '(options: { inputTextDelta: string } & ToolExecutionOptions) => void | PromiseLike<void>', description: 'Optional function that is called when an argument streaming delta is available. Only called when the tool is used in a streaming context.' }, { name: 'onInputAvailable', isOptional: true, type: '(options: { input: unknown } & ToolExecutionOptions) => void | PromiseLike<void>', description: 'Optional function that is called when a tool call can be started, even if the execute function is not provided.' }, { name: 'providerOptions', isOptional: true, type: 'ProviderOptions', description: 'Additional provider-specific metadata.' } ] } ] }
]} />
A Tool<unknown, unknown> with type: 'dynamic' that can be used with generateText, streamText, and other AI SDK functions.
When using dynamic tools alongside static tools, you need to check the dynamic flag for proper type narrowing:
const result = await generateText({
model: __MODEL__,
tools: {
// Static tool with known types
weather: weatherTool,
// Dynamic tool with unknown types
custom: dynamicTool({
/* ... */
}),
},
onStepFinish: ({ toolCalls, toolResults }) => {
for (const toolCall of toolCalls) {
if (toolCall.dynamic) {
// Dynamic tool: input/output are 'unknown'
console.log('Dynamic tool:', toolCall.toolName);
console.log('Input:', toolCall.input);
continue;
}
// Static tools have full type inference
switch (toolCall.toolName) {
case 'weather':
// TypeScript knows the exact types
console.log(toolCall.input.location); // string
break;
}
}
},
});
useChatWhen used with useChat (UIMessage format), dynamic tools appear as dynamic-tool parts:
{
message.parts.map(part => {
switch (part.type) {
case 'dynamic-tool':
return (
<div>
<h4>Tool: {part.toolName}</h4>
<pre>{JSON.stringify(part.input, null, 2)}</pre>
</div>
);
// ... handle other part types
}
});
}