agents/dist/web/fetch/tools/tanstack-ai.js

A home for your AI agents

import { a as WebFetchError, r as toolFailure, t as createWebFetchToolCore } from "../../../tool-CxKsvxjm.js";
import { t as webFetchInputSchema } from "../../../input-schema-0uUu392-.js";
import { toolDefinition } from "@tanstack/ai";
//#region src/web/fetch/tools/tanstack-ai.ts
/**
* `agents/webfetch/tanstack-ai` — the `web_fetch` tool for TanStack AI.
*
* @beta
*/
/**
* Create a TanStack AI tool that reads a URL as Markdown, JSON, or text.
* TanStack AI has one return channel, so the model and the host both get
* the rendered window. A failed fetch throws a `WebFetchError`, which
* TanStack AI reports as an error result: its `message` is written for the
* model, and its `cause` is the source's error with the detail. The tool is
* named `web_fetch` unless you pass `name`.
*
* @example
* ```ts
* import { webFetchTool } from "agents/webfetch/tanstack-ai";
* import { chat } from "@tanstack/ai";
*
* const stream = chat({
*   adapter,
*   tools: [webFetchTool({ binding: env.AI })],
*   messages
* });
* ```
*/
function webFetchTool(options) {
	const core = createWebFetchToolCore(options);
	return toolDefinition({
		name: options.name ?? core.name,
		description: core.description,
		inputSchema: webFetchInputSchema()
	}).server(async (input, context) => {
		const run = await core.run(input, { signal: context?.abortSignal });
		if (!run.ok) throw toolFailure(run);
		return run.text;
	});
}
//#endregion
export { WebFetchError, webFetchTool };

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