@anthropic-ai/sdk
Version:
The official TypeScript library for the Anthropic API
61 lines • 2.25 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.betaTool = betaTool;
exports.betaJSONSchemaOutputFormat = betaJSONSchemaOutputFormat;
const __1 = require("../../index.js");
const transform_json_schema_1 = require("../../lib/transform-json-schema.js");
/**
* Creates a Tool with a provided JSON schema that can be passed
* to the `.toolRunner()` method. The schema is used to automatically validate
* the input arguments for the tool.
*
* Every other field of the tool definition, such as `strict` or `cache_control`,
* can be passed too and is sent to the API as given.
*/
function betaTool(options) {
const { name, inputSchema, description, run, ...extraProps } = options;
if (inputSchema.type !== 'object') {
throw new Error(`JSON schema for tool "${name}" must be an object, but got ${inputSchema.type}`);
}
return {
...extraProps,
type: 'custom',
name,
input_schema: inputSchema,
description,
run,
parse: (content) => content,
};
}
/**
* Creates a JSON schema output format object from the given JSON schema.
* If this is passed to the `.parse()` method then the response message will contain a
* `.parsed_output` property that is the result of parsing the content with the given JSON schema.
*
*/
function betaJSONSchemaOutputFormat(jsonSchema, options) {
if (jsonSchema.type !== 'object') {
throw new Error(`JSON schema for tool must be an object, but got ${jsonSchema.type}`);
}
const transform = options?.transform ?? true;
if (transform) {
// todo: doing this is arguably necessary, but it does change the schema the user passed in
// so I'm not sure how we should handle that
jsonSchema = (0, transform_json_schema_1.transformJSONSchema)(jsonSchema);
}
return {
type: 'json_schema',
schema: {
...jsonSchema,
},
parse: (content) => {
try {
return JSON.parse(content);
}
catch (error) {
throw new __1.AnthropicError(`Failed to parse structured output: ${error}`);
}
},
};
}
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