dtamind-components
Version:
DTAmindai Components
120 lines • 4.06 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const openai_1 = require("@langchain/openai");
const utils_1 = require("../../../src/utils");
class ChatLocalAI_ChatModels {
constructor() {
this.label = 'ChatLocalAI';
this.name = 'chatLocalAI';
this.version = 3.0;
this.type = 'ChatLocalAI';
this.icon = 'localai.png';
this.category = 'Chat Models';
this.description = 'Use local LLMs like llama.cpp, gpt4all using LocalAI';
this.baseClasses = [this.type, 'BaseChatModel', ...(0, utils_1.getBaseClasses)(openai_1.ChatOpenAI)];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['localAIApi'],
optional: true
};
this.inputs = [
{
label: 'Cache',
name: 'cache',
type: 'BaseCache',
optional: true
},
{
label: 'Base Path',
name: 'basePath',
type: 'string',
placeholder: 'http://localhost:8080/v1'
},
{
label: 'Model Name',
name: 'modelName',
type: 'string',
placeholder: 'gpt4all-lora-quantized.bin'
},
{
label: 'Temperature',
name: 'temperature',
type: 'number',
step: 0.1,
default: 0.9,
optional: true
},
{
label: 'Streaming',
name: 'streaming',
type: 'boolean',
default: true,
optional: true,
additionalParams: 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 temperature = nodeData.inputs?.temperature;
const modelName = nodeData.inputs?.modelName;
const maxTokens = nodeData.inputs?.maxTokens;
const topP = nodeData.inputs?.topP;
const timeout = nodeData.inputs?.timeout;
const basePath = nodeData.inputs?.basePath;
const streaming = nodeData.inputs?.streaming;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const localAIApiKey = (0, utils_1.getCredentialParam)('localAIApiKey', credentialData, nodeData);
const cache = nodeData.inputs?.cache;
const obj = {
temperature: parseFloat(temperature),
modelName,
openAIApiKey: 'sk-',
apiKey: 'sk-',
streaming: streaming ?? true
};
if (maxTokens)
obj.maxTokens = parseInt(maxTokens, 10);
if (topP)
obj.topP = parseFloat(topP);
if (timeout)
obj.timeout = parseInt(timeout, 10);
if (cache)
obj.cache = cache;
if (localAIApiKey) {
obj.openAIApiKey = localAIApiKey;
obj.apiKey = localAIApiKey;
}
if (basePath)
obj.configuration = { baseURL: basePath };
const model = new openai_1.ChatOpenAI(obj);
return model;
}
}
module.exports = { nodeClass: ChatLocalAI_ChatModels };
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