n8n-nodes-tushare
Version:
n8n custom node for Tushare
230 lines • 11.8 kB
JavaScript
"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.SelfChatLlm = void 0;
const openai_1 = require("@langchain/openai");
const n8n_workflow_1 = require("n8n-workflow");
class SelfChatLlm {
constructor() {
this.description = {
displayName: 'Self LLM Chat Model',
name: 'selfChatLlm',
icon: 'file:llm.svg',
documentationUrl: 'https://llm.local.cn/ai',
group: ['transform'],
version: [1],
description: 'For advanced usage with an AI chain using Self LLM API',
defaults: {
name: 'Self LLM Chat Model',
},
codex: {
categories: ['AI'],
subcategories: {
AI: ['Language Models', 'Root Nodes'],
'Language Models': ['Chat Models (Recommended)'],
},
resources: {
primaryDocumentation: [
{
url: 'https://llm.local.cn/ai',
},
],
},
},
inputs: [],
outputs: [n8n_workflow_1.NodeConnectionTypes.AiLanguageModel],
outputNames: ['Model'],
credentials: [
{
name: 'selfLLMApi',
required: true,
},
],
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: 'http://llm.local.cn/ai',
},
properties: [
{
displayName: 'If using JSON response format, you must include word "json" in the prompt in your chain or agent. Also, make sure to select latest models released post November 2023.',
name: 'notice',
type: 'notice',
default: '',
displayOptions: {
show: {
'/options.responseFormat': ['json_object'],
},
},
},
{
displayName: 'Model',
name: 'model',
type: 'options',
description: 'The model which will generate the completion. <a href="https://llm.local.cn/ai">Learn more</a>.',
options: [
{ name: 'Anthropic Claude 3 Haiku 20240307 V1:0', value: 'anthropic.claude-3-haiku-20240307-v1:0' },
{ name: 'Anthropic Claude 3 Opus 20240229 V1:0', value: 'anthropic.claude-3-opus-20240229-v1:0' },
{ name: 'Anthropic Claude 3 Sonnet 20240229 V1:0', value: 'anthropic.claude-3-sonnet-20240229-v1:0' },
{ name: 'Anthropic Claude 3.5 Sonnet 20241022 V2:0', value: 'anthropic.claude-3-5-sonnet-20241022-v2:0' },
{ name: 'Deepseek Chat', value: 'deepseek-chat' },
{ name: 'Deepseek Coder', value: 'deepseek-coder' },
{ name: 'Deepseek R1', value: 'deepseek-r1' },
{ name: 'Doubao Lite 128k', value: 'doubao-lite-128k' },
{ name: 'Doubao Lite 32k', value: 'doubao-lite-32k' },
{ name: 'Doubao Pro 128k', value: 'doubao-pro-128k' },
{ name: 'Doubao Pro 32k Functioncall', value: 'doubao-pro-32k-functioncall' },
{ name: 'GLM 3 Turbo', value: 'glm-3-turbo' },
{ name: 'GLM 4 0520', value: 'glm-4-0520' },
{ name: 'GLM 4 Air', value: 'glm-4-air' },
{ name: 'GLM 4 Flash', value: 'glm-4-flash' },
{ name: 'GLM 4 Plus', value: 'glm-4-plus' },
{ name: 'GLM 4V', value: 'glm-4v' },
{ name: 'GPT 3.5 Turbo', value: 'gpt-3.5-turbo' },
{ name: 'GPT 3.5 Turbo 1106', value: 'gpt-3.5-turbo-1106' },
{ name: 'GPT 3.5 Turbo 16k', value: 'gpt-3.5-turbo-16k' },
{ name: 'GPT 4', value: 'gpt-4' },
{ name: 'GPT 4 1106 Preview', value: 'gpt-4-1106-preview' },
{ name: 'GPT 4 32k', value: 'gpt-4-32k' },
{ name: 'GPT 4O', value: 'gpt-4o' },
{ name: 'GPT 4O Mini', value: 'gpt-4o-mini' },
{ name: 'Kimi K2 0711 Preview', value: 'kimi-k2-0711-preview' },
{ name: 'Meta Llama Lite', value: 'Meta-Llama-Lite' },
{ name: 'Meta Llama Plus', value: 'Meta-Llama-Plus' },
{ name: 'Meta Llama Turbo', value: 'Meta-Llama-Turbo' },
{ name: 'Mistral Large', value: 'Mistral-Large' },
{ name: 'Moonshot V1 128k', value: 'moonshot-v1-128k' },
{ name: 'Moonshot V1 32k', value: 'moonshot-v1-32k' },
{ name: 'Moonshot V1 8k', value: 'moonshot-v1-8k' },
{ name: 'O1', value: 'o1' },
{ name: 'O1 Mini', value: 'o1-mini' },
{ name: 'O3 Mini', value: 'o3-mini' },
{ name: 'O3 Pro', value: 'o3-pro' },
{ name: 'Step 1 128k', value: 'step-1-128k' },
{ name: 'Step 1 256k', value: 'step-1-256k' },
{ name: 'Step 1 32k', value: 'step-1-32k' },
{ name: 'Step 1 8k', value: 'step-1-8k' },
{ name: 'Step 1V 32k', value: 'step-1v-32k' },
{ name: 'Step 1V 8k', value: 'step-1v-8k' }
],
routing: {
send: {
type: 'body',
property: 'model',
},
},
default: 'step-1-128k',
},
{
displayName: 'Options',
name: 'options',
placeholder: 'Add Option',
description: 'Additional options to add',
type: 'collection',
default: {},
options: [
{
displayName: 'Frequency Penalty',
name: 'frequencyPenalty',
default: 0,
typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
description: "Positive values penalize new tokens based on their existing frequency in the text so far, decreasing the model's likelihood to repeat the same line verbatim",
type: 'number',
},
{
displayName: 'Max Retries',
name: 'maxRetries',
default: 2,
description: 'Maximum number of retries to attempt',
type: 'number',
},
{
displayName: 'Maximum Number of Tokens',
name: 'maxTokens',
default: -1,
description: 'The maximum number of tokens to generate in the completion. Most models have a context length of 2048 tokens (except for the newest models, which support 32,768).',
type: 'number',
typeOptions: {
maxValue: 32768,
},
},
{
displayName: 'Presence Penalty',
name: 'presencePenalty',
default: 0,
typeOptions: { maxValue: 2, minValue: -2, numberPrecision: 1 },
description: "Positive values penalize new tokens based on whether they appear in the text so far, increasing the model's likelihood to talk about new topics",
type: 'number',
},
{
displayName: 'Response Format',
name: 'responseFormat',
default: 'text',
type: 'options',
options: [
{
name: 'Text',
value: 'text',
description: 'Regular text response',
},
{
name: 'JSON',
value: 'json_object',
description: 'Enables JSON mode, which should guarantee the message the model generates is valid JSON',
},
],
},
{
displayName: 'Sampling Temperature',
name: 'temperature',
default: 0.7,
typeOptions: { maxValue: 2, minValue: 0, numberPrecision: 1 },
description: 'Controls randomness: Lowering results in less random completions. As the temperature approaches zero, the model will become deterministic and repetitive.',
type: 'number',
},
{
displayName: 'Timeout',
name: 'timeout',
default: 360000,
description: 'Maximum amount of time a request is allowed to take in milliseconds',
type: 'number',
},
{
displayName: 'Top P',
name: 'topP',
default: 1,
typeOptions: { maxValue: 1, minValue: 0, numberPrecision: 1 },
description: 'Controls diversity via nucleus sampling: 0.5 means half of all likelihood-weighted options are considered. We generally recommend altering this or temperature but not both.',
type: 'number',
},
],
},
],
};
}
async supplyData(itemIndex) {
var _a, _b;
const credentials = await this.getCredentials('selfLLMApi');
const modelName = this.getNodeParameter('model', itemIndex);
const options = this.getNodeParameter('options', itemIndex, {});
const configuration = {
baseURL: 'http://llm.local.cn/ai',
};
const model = new openai_1.ChatOpenAI({
openAIApiKey: credentials.apiKey,
model: modelName,
...options,
timeout: (_a = options.timeout) !== null && _a !== void 0 ? _a : 60000,
maxRetries: (_b = options.maxRetries) !== null && _b !== void 0 ? _b : 2,
configuration,
modelKwargs: options.responseFormat
? {
response_format: { type: options.responseFormat },
}
: undefined,
});
return {
response: model,
};
}
}
exports.SelfChatLlm = SelfChatLlm;
//# sourceMappingURL=SelfChatLlm.node.js.map