dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
73 lines • 2.69 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const baidu_qianfan_1 = require("@langchain/baidu-qianfan");
const utils_1 = require("../../../src/utils");
class ChatBaiduWenxin_ChatModels {
constructor() {
this.label = 'ChatBaiduWenxin';
this.name = 'chatBaiduWenxin';
this.version = 2.0;
this.type = 'ChatBaiduWenxin';
this.icon = 'baiduwenxin.svg';
this.category = 'Chat Models';
this.description = 'Wrapper around BaiduWenxin Chat Endpoints';
this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(baidu_qianfan_1.ChatBaiduQianfan)];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['baiduQianfanApi']
};
this.inputs = [
{
label: 'Cache',
name: 'cache',
type: 'BaseCache',
optional: true
},
{
label: 'Model',
name: 'modelName',
type: 'string',
placeholder: 'ERNIE-Bot-turbo'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Streaming',
name: 'streaming',
type: 'boolean',
default: true,
optional: true
}
];
}
async init(nodeData, _, options) {
const cache = nodeData.inputs?.cache;
const temperature = nodeData.inputs?.temperature;
const modelName = nodeData.inputs?.modelName;
const streaming = nodeData.inputs?.streaming;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const qianfanAccessKey = (0, utils_1.getCredentialParam)('qianfanAccessKey', credentialData, nodeData);
const qianfanSecretKey = (0, utils_1.getCredentialParam)('qianfanSecretKey', credentialData, nodeData);
const obj = {
streaming: streaming ?? true,
qianfanAccessKey,
qianfanSecretKey,
modelName,
temperature: temperature ? parseFloat(temperature) : undefined
};
if (cache)
obj.cache = cache;
const model = new baidu_qianfan_1.ChatBaiduQianfan(obj);
return model;
}
}
module.exports = { nodeClass: ChatBaiduWenxin_ChatModels };
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