dtamind-components
Version:
DTAmindai Components
55 lines • 2.21 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const utils_1 = require("../../../src/utils");
const llamaindex_1 = require("llamaindex");
class ChatTogetherAI_LlamaIndex_ChatModels {
constructor() {
this.label = 'ChatTogetherAI';
this.name = 'chatTogetherAI_LlamaIndex';
this.version = 1.0;
this.type = 'ChatTogetherAI';
this.icon = 'togetherai.png';
this.category = 'Chat Models';
this.description = 'Wrapper around ChatTogetherAI LLM specific for LlamaIndex';
this.baseClasses = [this.type, 'BaseChatModel_LlamaIndex', ...(0, utils_1.getBaseClasses)(llamaindex_1.TogetherLLM)];
this.tags = ['LlamaIndex'];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['togetherAIApi']
};
this.inputs = [
{
label: 'Model Name',
name: 'modelName',
type: 'string',
placeholder: 'mixtral-8x7b-32768',
description: 'Refer to <a target="_blank" href="https://docs.together.ai/docs/inference-models">models</a> page'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
}
];
}
async init(nodeData, _, options) {
const temperature = nodeData.inputs?.temperature;
const modelName = nodeData.inputs?.modelName;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const togetherAIApiKey = (0, utils_1.getCredentialParam)('togetherAIApiKey', credentialData, nodeData);
const obj = {
temperature: parseFloat(temperature),
model: modelName,
apiKey: togetherAIApiKey
};
const model = new llamaindex_1.TogetherLLM(obj);
return model;
}
}
module.exports = { nodeClass: ChatTogetherAI_LlamaIndex_ChatModels };
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