mirror of
https://github.com/Abdulazizzn/n8n-enterprise-unlocked.git
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258 lines
6.7 KiB
TypeScript
258 lines
6.7 KiB
TypeScript
import type { BaseLanguageModel } from '@langchain/core/language_models/base';
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import { PromptTemplate } from '@langchain/core/prompts';
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import type { JSONSchema7 } from 'json-schema';
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import {
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jsonParse,
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type INodeType,
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type INodeTypeDescription,
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type ISupplyDataFunctions,
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type SupplyData,
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NodeOperationError,
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NodeConnectionTypes,
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} from 'n8n-workflow';
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import type { z } from 'zod';
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import {
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buildJsonSchemaExampleNotice,
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inputSchemaField,
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jsonSchemaExampleField,
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schemaTypeField,
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} from '@utils/descriptions';
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import {
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N8nOutputFixingParser,
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N8nStructuredOutputParser,
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} from '@utils/output_parsers/N8nOutputParser';
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import { convertJsonSchemaToZod, generateSchemaFromExample } from '@utils/schemaParsing';
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import { getConnectionHintNoticeField } from '@utils/sharedFields';
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import { NAIVE_FIX_PROMPT } from './prompt';
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export class OutputParserStructured implements INodeType {
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description: INodeTypeDescription = {
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displayName: 'Structured Output Parser',
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name: 'outputParserStructured',
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icon: 'fa:code',
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iconColor: 'black',
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group: ['transform'],
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version: [1, 1.1, 1.2, 1.3],
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defaultVersion: 1.3,
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description: 'Return data in a defined JSON format',
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defaults: {
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name: 'Structured Output Parser',
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},
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codex: {
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alias: ['json', 'zod'],
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categories: ['AI'],
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subcategories: {
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AI: ['Output Parsers'],
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},
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resources: {
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primaryDocumentation: [
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{
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url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.outputparserstructured/',
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},
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],
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},
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},
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inputs: `={{
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((parameters) => {
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if (parameters?.autoFix) {
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return [
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{ displayName: 'Model', maxConnections: 1, type: "${NodeConnectionTypes.AiLanguageModel}", required: true }
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];
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}
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return [];
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})($parameter)
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}}`,
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// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
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outputs: [NodeConnectionTypes.AiOutputParser],
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outputNames: ['Output Parser'],
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properties: [
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getConnectionHintNoticeField([NodeConnectionTypes.AiChain, NodeConnectionTypes.AiAgent]),
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{ ...schemaTypeField, displayOptions: { show: { '@version': [{ _cnd: { gte: 1.2 } }] } } },
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{
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...jsonSchemaExampleField,
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default: `{
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"state": "California",
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"cities": ["Los Angeles", "San Francisco", "San Diego"]
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}`,
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},
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buildJsonSchemaExampleNotice({
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showExtraProps: {
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'@version': [{ _cnd: { gte: 1.3 } }],
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},
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}),
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{
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...inputSchemaField,
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default: `{
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"type": "object",
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"properties": {
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"state": {
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"type": "string"
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},
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"cities": {
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"type": "array",
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"items": {
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"type": "string"
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}
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}
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}
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}`,
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},
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{
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displayName: 'JSON Schema',
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name: 'jsonSchema',
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type: 'json',
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description: 'JSON Schema to structure and validate the output against',
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default: `{
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"type": "object",
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"properties": {
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"state": {
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"type": "string"
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},
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"cities": {
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"type": "array",
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"items": {
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"type": "string"
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}
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}
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}
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}`,
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typeOptions: {
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rows: 10,
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},
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required: true,
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displayOptions: {
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show: {
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'@version': [{ _cnd: { lte: 1.1 } }],
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},
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},
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},
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{
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displayName: 'Auto-Fix Format',
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description:
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'Whether to automatically fix the output when it is not in the correct format. Will cause another LLM call.',
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name: 'autoFix',
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type: 'boolean',
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default: false,
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},
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{
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displayName: 'Customize Retry Prompt',
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name: 'customizeRetryPrompt',
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type: 'boolean',
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displayOptions: {
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show: {
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autoFix: [true],
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},
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},
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default: false,
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description:
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'Whether to customize the prompt used for retrying the output parsing. If disabled, a default prompt will be used.',
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},
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{
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displayName: 'Custom Prompt',
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name: 'prompt',
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type: 'string',
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displayOptions: {
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show: {
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autoFix: [true],
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customizeRetryPrompt: [true],
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},
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},
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default: NAIVE_FIX_PROMPT,
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typeOptions: {
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rows: 10,
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},
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hint: 'Should include "{error}", "{instructions}", and "{completion}" placeholders',
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description:
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'Prompt template used for fixing the output. Uses placeholders: "{instructions}" for parsing rules, "{completion}" for the failed attempt, and "{error}" for the validation error message.',
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},
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],
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hints: [
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{
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message:
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'Fields that use $refs might have the wrong type, since this syntax is not currently supported',
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type: 'warning',
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location: 'outputPane',
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whenToDisplay: 'afterExecution',
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displayCondition:
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'={{ $parameter["schemaType"] === "manual" && $parameter["inputSchema"]?.includes("$ref") }}',
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},
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],
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};
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async supplyData(this: ISupplyDataFunctions, itemIndex: number): Promise<SupplyData> {
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const schemaType = this.getNodeParameter('schemaType', itemIndex, '') as 'fromJson' | 'manual';
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// We initialize these even though one of them will always be empty
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// it makes it easer to navigate the ternary operator
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const jsonExample = this.getNodeParameter('jsonSchemaExample', itemIndex, '') as string;
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let inputSchema: string;
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// Enforce all fields to be required in the generated schema if the node version is 1.3 or higher
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const jsonExampleAllFieldsRequired = this.getNode().typeVersion >= 1.3;
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if (this.getNode().typeVersion <= 1.1) {
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inputSchema = this.getNodeParameter('jsonSchema', itemIndex, '') as string;
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} else {
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inputSchema = this.getNodeParameter('inputSchema', itemIndex, '') as string;
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}
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const jsonSchema =
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schemaType === 'fromJson'
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? generateSchemaFromExample(jsonExample, jsonExampleAllFieldsRequired)
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: jsonParse<JSONSchema7>(inputSchema);
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const zodSchema = convertJsonSchemaToZod<z.ZodSchema<object>>(jsonSchema);
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const nodeVersion = this.getNode().typeVersion;
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const autoFix = this.getNodeParameter('autoFix', itemIndex, false) as boolean;
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let outputParser;
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try {
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outputParser = await N8nStructuredOutputParser.fromZodJsonSchema(
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zodSchema,
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nodeVersion,
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this,
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);
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} catch (error) {
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throw new NodeOperationError(
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this.getNode(),
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'Error during parsing of JSON Schema. Please check the schema and try again.',
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);
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}
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if (!autoFix) {
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return {
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response: outputParser,
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};
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}
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const model = (await this.getInputConnectionData(
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NodeConnectionTypes.AiLanguageModel,
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itemIndex,
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)) as BaseLanguageModel;
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const prompt = this.getNodeParameter('prompt', itemIndex, NAIVE_FIX_PROMPT) as string;
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if (prompt.length === 0 || !prompt.includes('{error}')) {
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throw new NodeOperationError(
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this.getNode(),
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'Auto-fixing parser prompt has to contain {error} placeholder',
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);
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}
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const parser = new N8nOutputFixingParser(
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this,
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model,
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outputParser,
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PromptTemplate.fromTemplate(prompt),
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);
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return {
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response: parser,
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};
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}
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}
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