@n8n/n8n-nodes-langchain
Version:
158 lines • 6.84 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.LmChatCohere = void 0;
exports.tokensUsageParser = tokensUsageParser;
const cohere_1 = require("@langchain/cohere");
const ai_utilities_1 = require("@n8n/ai-utilities");
function tokensUsageParser(result) {
let totalInputTokens = 0;
let totalOutputTokens = 0;
result.generations?.forEach((generationArray) => {
generationArray.forEach((gen) => {
const inputTokens = gen.generationInfo?.meta?.tokens?.inputTokens ?? 0;
const outputTokens = gen.generationInfo?.meta?.tokens?.outputTokens ?? 0;
totalInputTokens += inputTokens;
totalOutputTokens += outputTokens;
});
});
return {
completionTokens: totalOutputTokens,
promptTokens: totalInputTokens,
totalTokens: totalInputTokens + totalOutputTokens,
};
}
class LmChatCohere {
constructor() {
this.description = {
displayName: 'Cohere Chat Model',
name: 'lmChatCohere',
icon: { light: 'file:cohere.svg', dark: 'file:cohere.dark.svg' },
group: ['transform'],
version: [1],
description: 'For advanced usage with an AI chain',
defaults: {
name: 'Cohere 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.lmchatcohere/',
},
],
},
},
inputs: [],
outputs: ['ai_languageModel'],
outputNames: ['Model'],
credentials: [
{
name: 'cohereApi',
required: true,
},
],
requestDefaults: {
baseURL: '={{$credentials?.url}}',
headers: {
accept: 'application/json',
authorization: '=Bearer {{$credentials?.apiKey}}',
},
},
properties: [
(0, ai_utilities_1.getConnectionHintNoticeField)(['ai_chain', 'ai_agent']),
{
displayName: 'Model',
name: 'model',
type: 'options',
description: 'The model which will generate the completion. <a href="https://docs.cohere.com/docs/models">Learn more</a>.',
typeOptions: {
loadOptions: {
routing: {
request: {
method: 'GET',
url: '/v1/models?page_size=100&endpoint=chat',
},
output: {
postReceive: [
{
type: 'rootProperty',
properties: {
property: 'models',
},
},
{
type: 'setKeyValue',
properties: {
name: '={{$responseItem.name}}',
value: '={{$responseItem.name}}',
description: '={{$responseItem.description}}',
},
},
{
type: 'sort',
properties: {
key: 'name',
},
},
],
},
},
},
},
default: 'command-a-03-2025',
builderHint: {
message: 'Default to the latest Cohere Command A model (command-a-03-2025). Avoid command-r and command-light legacy variants.',
},
},
{
displayName: 'Options',
name: 'options',
placeholder: 'Add Option',
description: 'Additional options to add',
type: 'collection',
default: {},
options: [
{
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: 'Max Retries',
name: 'maxRetries',
default: 2,
description: 'Maximum number of retries to attempt',
type: 'number',
},
],
},
],
};
}
async supplyData(itemIndex) {
const credentials = await this.getCredentials('cohereApi');
const modelName = this.getNodeParameter('model', itemIndex);
const options = this.getNodeParameter('options', itemIndex, {});
const model = new cohere_1.ChatCohere({
apiKey: credentials.apiKey,
model: modelName,
temperature: options.temperature,
maxRetries: options.maxRetries ?? 2,
callbacks: [new ai_utilities_1.N8nLlmTracing(this, { tokensUsageParser })],
onFailedAttempt: (0, ai_utilities_1.makeN8nLlmFailedAttemptHandler)(this),
});
return {
response: model,
};
}
}
exports.LmChatCohere = LmChatCohere;
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