@n8n/n8n-nodes-langchain
Version:
204 lines • 9.39 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.LmChatMistralCloud = void 0;
const mistralai_1 = require("@langchain/mistralai");
const http_js_1 = require("@mistralai/mistralai/lib/http.js");
const ai_utilities_1 = require("@n8n/ai-utilities");
const n8n_workflow_1 = require("n8n-workflow");
const deprecatedMagistralModelsWithTextOutput = ['magistral-small-2506', 'magistral-medium-2506'];
class LmChatMistralCloud {
constructor() {
this.description = {
displayName: 'Mistral Cloud Chat Model',
name: 'lmChatMistralCloud',
icon: 'file:mistral.svg',
group: ['transform'],
version: 1,
description: 'For advanced usage with an AI chain',
defaults: {
name: 'Mistral Cloud Chat Model',
},
codex: {
categories: ['AI'],
subcategories: {
AI: ['Language Models', 'Root Nodes'],
'Language Models': ['Chat Models (Recommended)'],
},
resources: {
primaryDocumentation: [
{
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatmistralcloud/',
},
],
},
},
inputs: [],
outputs: [n8n_workflow_1.NodeConnectionTypes.AiLanguageModel],
outputNames: ['Model'],
credentials: [
{
name: 'mistralCloudApi',
required: true,
},
],
requestDefaults: {
ignoreHttpStatusErrors: true,
baseURL: 'https://api.mistral.ai/v1',
},
properties: [
(0, ai_utilities_1.getConnectionHintNoticeField)([n8n_workflow_1.NodeConnectionTypes.AiChain, n8n_workflow_1.NodeConnectionTypes.AiAgent]),
{
displayName: 'Model',
name: 'model',
type: 'options',
description: 'The model which will generate the completion. <a href="https://docs.mistral.ai/platform/endpoints/">Learn more</a>.',
typeOptions: {
loadOptions: {
routing: {
request: {
method: 'GET',
url: '/models',
},
output: {
postReceive: [
{
type: 'rootProperty',
properties: {
property: 'data',
},
},
{
type: 'filter',
properties: {
pass: "={{ !$responseItem.id.includes('embed') }}",
},
},
{
type: 'setKeyValue',
properties: {
name: '={{ $responseItem.id }}',
value: '={{ $responseItem.id }}',
},
},
{
type: 'sort',
properties: {
key: 'name',
},
},
],
},
},
},
},
routing: {
send: {
type: 'body',
property: 'model',
},
},
default: 'mistral-small',
builderHint: {
message: 'Default to the latest flagship Mistral (mistral-large-2512, aka Mistral Large 3). Use mistral-small for cost-efficient builds. Avoid older dated snapshots and Medium/Small 2.x.',
},
},
{
displayName: 'Options',
name: 'options',
placeholder: 'Add Option',
description: 'Additional options to add',
type: 'collection',
default: {},
options: [
{
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: 'Sampling Temperature',
name: 'temperature',
default: 0.7,
typeOptions: { maxValue: 1, 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: 'Max Retries',
name: 'maxRetries',
default: 2,
description: 'Maximum number of retries to attempt',
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',
},
{
displayName: 'Enable Safe Mode',
name: 'safeMode',
default: false,
type: 'boolean',
description: 'Whether to inject a safety prompt before all conversations',
},
{
displayName: 'Random Seed',
name: 'randomSeed',
default: undefined,
type: 'number',
description: 'The seed to use for random sampling. If set, different calls will generate deterministic results.',
},
],
},
],
};
}
async supplyData(itemIndex) {
const credentials = await this.getCredentials('mistralCloudApi');
const modelName = this.getNodeParameter('model', itemIndex);
const options = this.getNodeParameter('options', itemIndex, {
maxRetries: 2,
topP: 1,
temperature: 0.7,
maxTokens: -1,
safeMode: false,
randomSeed: undefined,
});
const fetchWithTimeout = async (input, init) => await (0, ai_utilities_1.proxyFetch)(input, init, {});
const httpClient = new http_js_1.HTTPClient({ fetcher: fetchWithTimeout });
const model = new mistralai_1.ChatMistralAI({
apiKey: credentials.apiKey,
model: modelName,
...options,
httpClient,
callbacks: [new ai_utilities_1.N8nLlmTracing(this)],
onFailedAttempt: (0, ai_utilities_1.makeN8nLlmFailedAttemptHandler)(this),
metadata: {
output_format: isModelWithJSONOutput(modelName) ? 'json' : undefined,
},
});
return {
response: model,
};
}
}
exports.LmChatMistralCloud = LmChatMistralCloud;
function isModelWithJSONOutput(modelName) {
if (!modelName.includes('magistral')) {
return false;
}
if (deprecatedMagistralModelsWithTextOutput.includes(modelName)) {
return false;
}
return true;
}
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