dtamind-components
Version:
DTAmindai Components
124 lines • 4.73 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const utils_1 = require("../../../src/utils");
const llamaindex_1 = require("llamaindex");
const modelLoader_1 = require("../../../src/modelLoader");
const ALL_AZURE_OPENAI_CHAT_MODELS = {
'gpt-35-turbo': { contextWindow: 4096, openAIModel: 'gpt-3.5-turbo' },
'gpt-35-turbo-16k': {
contextWindow: 16384,
openAIModel: 'gpt-3.5-turbo-16k'
},
'gpt-4': { contextWindow: 8192, openAIModel: 'gpt-4' },
'gpt-4-32k': { contextWindow: 32768, openAIModel: 'gpt-4-32k' },
'gpt-4-turbo': {
contextWindow: 128000,
openAIModel: 'gpt-4-turbo'
},
'gpt-4-vision-preview': {
contextWindow: 128000,
openAIModel: 'gpt-4-vision-preview'
},
'gpt-4-1106-preview': {
contextWindow: 128000,
openAIModel: 'gpt-4-1106-preview'
}
};
class AzureChatOpenAI_LlamaIndex_ChatModels {
constructor() {
//@ts-ignore
this.loadMethods = {
async listModels() {
return await (0, modelLoader_1.getModels)(modelLoader_1.MODEL_TYPE.CHAT, 'azureChatOpenAI_LlamaIndex');
}
};
this.label = 'AzureChatOpenAI';
this.name = 'azureChatOpenAI_LlamaIndex';
this.version = 2.0;
this.type = 'AzureChatOpenAI';
this.icon = 'Azure.svg';
this.category = 'Chat Models';
this.description = 'Wrapper around Azure OpenAI Chat LLM specific for LlamaIndex';
this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...(0, utils_1.getBaseClasses)(llamaindex_1.OpenAI)];
this.tags = ['LlamaIndex'];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['azureOpenAIApi']
};
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'asyncOptions',
loadMethod: 'listModels',
default: 'gpt-3.5-turbo-16k'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Max Tokens',
name: 'maxTokens',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
}
];
}
async init(nodeData, _, options) {
const modelName = nodeData.inputs?.modelName;
const temperature = nodeData.inputs?.temperature;
const maxTokens = nodeData.inputs?.maxTokens;
const topP = nodeData.inputs?.topP;
const timeout = nodeData.inputs?.timeout;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const azureOpenAIApiKey = (0, utils_1.getCredentialParam)('azureOpenAIApiKey', credentialData, nodeData);
const azureOpenAIApiInstanceName = (0, utils_1.getCredentialParam)('azureOpenAIApiInstanceName', credentialData, nodeData);
const azureOpenAIApiDeploymentName = (0, utils_1.getCredentialParam)('azureOpenAIApiDeploymentName', credentialData, nodeData);
const azureOpenAIApiVersion = (0, utils_1.getCredentialParam)('azureOpenAIApiVersion', credentialData, nodeData);
const obj = {
temperature: parseFloat(temperature),
model: modelName,
azure: {
apiKey: azureOpenAIApiKey,
endpoint: `https://${azureOpenAIApiInstanceName}.openai.azure.com`,
apiVersion: azureOpenAIApiVersion,
deploymentName: azureOpenAIApiDeploymentName
}
};
if (maxTokens)
obj.maxTokens = parseInt(maxTokens, 10);
if (topP)
obj.topP = parseFloat(topP);
if (timeout)
obj.timeout = parseInt(timeout, 10);
const model = new llamaindex_1.OpenAI(obj);
return model;
}
}
module.exports = { nodeClass: AzureChatOpenAI_LlamaIndex_ChatModels };
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