mirror of
https://github.com/Abdulazizzn/n8n-enterprise-unlocked.git
synced 2025-12-17 18:12:04 +00:00
feat: Azure Open AI chat model & embeddings (#8522)
Signed-off-by: Oleg Ivaniv <me@olegivaniv.com>
This commit is contained in:
@@ -0,0 +1,169 @@
|
||||
/* eslint-disable n8n-nodes-base/node-dirname-against-convention */
|
||||
import {
|
||||
NodeConnectionType,
|
||||
type IExecuteFunctions,
|
||||
type INodeType,
|
||||
type INodeTypeDescription,
|
||||
type SupplyData,
|
||||
} from 'n8n-workflow';
|
||||
|
||||
import type { ClientOptions } from 'openai';
|
||||
import { ChatOpenAI } from 'langchain/chat_models/openai';
|
||||
import { logWrapper } from '../../../utils/logWrapper';
|
||||
import { getConnectionHintNoticeField } from '../../../utils/sharedFields';
|
||||
|
||||
export class LmChatAzureOpenAi implements INodeType {
|
||||
description: INodeTypeDescription = {
|
||||
displayName: 'Azure OpenAI Chat Model',
|
||||
// eslint-disable-next-line n8n-nodes-base/node-class-description-name-miscased
|
||||
name: 'lmChatAzureOpenAi',
|
||||
icon: 'file:azure.svg',
|
||||
group: ['transform'],
|
||||
version: 1,
|
||||
description: 'For advanced usage with an AI chain',
|
||||
defaults: {
|
||||
name: 'Azure OpenAI Chat Model',
|
||||
},
|
||||
codex: {
|
||||
categories: ['AI'],
|
||||
subcategories: {
|
||||
AI: ['Language Models'],
|
||||
},
|
||||
resources: {
|
||||
primaryDocumentation: [
|
||||
{
|
||||
url: 'https://docs.n8n.io/integrations/builtin/cluster-nodes/sub-nodes/n8n-nodes-langchain.lmchatazureopenai/',
|
||||
},
|
||||
],
|
||||
},
|
||||
},
|
||||
// eslint-disable-next-line n8n-nodes-base/node-class-description-inputs-wrong-regular-node
|
||||
inputs: [],
|
||||
// eslint-disable-next-line n8n-nodes-base/node-class-description-outputs-wrong
|
||||
outputs: [NodeConnectionType.AiLanguageModel],
|
||||
outputNames: ['Model'],
|
||||
credentials: [
|
||||
{
|
||||
name: 'azureOpenAiApi',
|
||||
required: true,
|
||||
},
|
||||
],
|
||||
properties: [
|
||||
getConnectionHintNoticeField([NodeConnectionType.AiChain, NodeConnectionType.AiAgent]),
|
||||
{
|
||||
displayName: 'Model (Deployment) Name',
|
||||
name: 'model',
|
||||
type: 'string',
|
||||
description: 'The name of the model(deployment) to use',
|
||||
default: '',
|
||||
},
|
||||
{
|
||||
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: '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: '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: 'Timeout',
|
||||
name: 'timeout',
|
||||
default: 60000,
|
||||
description: 'Maximum amount of time a request is allowed to take in milliseconds',
|
||||
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',
|
||||
},
|
||||
],
|
||||
},
|
||||
],
|
||||
};
|
||||
|
||||
async supplyData(this: IExecuteFunctions, itemIndex: number): Promise<SupplyData> {
|
||||
const credentials = (await this.getCredentials('azureOpenAiApi')) as {
|
||||
apiKey: string;
|
||||
resourceName: string;
|
||||
apiVersion: string;
|
||||
};
|
||||
|
||||
const modelName = this.getNodeParameter('model', itemIndex) as string;
|
||||
const options = this.getNodeParameter('options', itemIndex, {}) as {
|
||||
frequencyPenalty?: number;
|
||||
maxTokens?: number;
|
||||
maxRetries: number;
|
||||
timeout: number;
|
||||
presencePenalty?: number;
|
||||
temperature?: number;
|
||||
topP?: number;
|
||||
};
|
||||
|
||||
const configuration: ClientOptions = {};
|
||||
|
||||
const model = new ChatOpenAI({
|
||||
azureOpenAIApiDeploymentName: modelName,
|
||||
azureOpenAIApiInstanceName: credentials.resourceName,
|
||||
azureOpenAIApiKey: credentials.apiKey,
|
||||
azureOpenAIApiVersion: credentials.apiVersion,
|
||||
...options,
|
||||
timeout: options.timeout ?? 60000,
|
||||
maxRetries: options.maxRetries ?? 2,
|
||||
configuration,
|
||||
});
|
||||
|
||||
return {
|
||||
response: logWrapper(model, this),
|
||||
};
|
||||
}
|
||||
}
|
||||
Reference in New Issue
Block a user