dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
245 lines • 9.19 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const openai_1 = require("@langchain/openai");
const utils_1 = require("../../../src/utils");
const modelLoader_1 = require("../../../src/modelLoader");
const DtamindAzureChatOpenAI_1 = require("./DtamindAzureChatOpenAI");
const serverCredentialsExists = !!process.env.AZURE_OPENAI_API_KEY &&
!!process.env.AZURE_OPENAI_API_INSTANCE_NAME &&
!!process.env.AZURE_OPENAI_API_DEPLOYMENT_NAME &&
!!process.env.AZURE_OPENAI_API_VERSION;
class AzureChatOpenAI_ChatModels {
constructor() {
//@ts-ignore
this.loadMethods = {
async listModels() {
return await (0, modelLoader_1.getModels)(modelLoader_1.MODEL_TYPE.CHAT, 'azureChatOpenAI');
}
};
this.label = 'Azure ChatOpenAI';
this.name = 'azureChatOpenAI';
this.version = 7.0;
this.type = 'AzureChatOpenAI';
this.icon = 'Azure.svg';
this.category = 'Chat Models';
this.description = 'Wrapper around Azure OpenAI large language models that use the Chat endpoint';
this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(openai_1.AzureChatOpenAI)];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['azureOpenAIApi'],
optional: serverCredentialsExists
};
this.inputs = [
{
label: 'Cache',
name: 'cache',
type: 'BaseCache',
optional: true
},
{
label: 'Model Name',
name: 'modelName',
type: 'asyncOptions',
loadMethod: 'listModels'
},
{
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: 'Streaming',
name: 'streaming',
type: 'boolean',
default: true,
optional: true,
additionalParams: true
},
{
label: 'Top Probability',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Frequency Penalty',
name: 'frequencyPenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Presence Penalty',
name: 'presencePenalty',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Timeout',
name: 'timeout',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'BasePath',
name: 'basepath',
type: 'string',
optional: true,
additionalParams: true
},
{
label: 'BaseOptions',
name: 'baseOptions',
type: 'json',
optional: true,
additionalParams: true
},
{
label: 'Allow Image Uploads',
name: 'allowImageUploads',
type: 'boolean',
description: 'Allow image input. Refer to the <a href="https://docs.dtamindai.com/using-dtamind/uploads#image" target="_blank">docs</a> for more details.',
default: false,
optional: true
},
{
label: 'Image Resolution',
description: 'This parameter controls the resolution in which the model views the image.',
name: 'imageResolution',
type: 'options',
options: [
{
label: 'Low',
name: 'low'
},
{
label: 'High',
name: 'high'
},
{
label: 'Auto',
name: 'auto'
}
],
default: 'low',
optional: false,
additionalParams: true
},
{
label: 'Reasoning Effort',
description: 'Constrains effort on reasoning for reasoning models. Only applicable for o1 and o3 models.',
name: 'reasoningEffort',
type: 'options',
options: [
{
label: 'Low',
name: 'low'
},
{
label: 'Medium',
name: 'medium'
},
{
label: 'High',
name: 'high'
}
],
default: 'medium',
optional: false,
additionalParams: true
}
];
}
async init(nodeData, _, options) {
const modelName = nodeData.inputs?.modelName;
const temperature = nodeData.inputs?.temperature;
const maxTokens = nodeData.inputs?.maxTokens;
const frequencyPenalty = nodeData.inputs?.frequencyPenalty;
const presencePenalty = nodeData.inputs?.presencePenalty;
const timeout = nodeData.inputs?.timeout;
const streaming = nodeData.inputs?.streaming;
const cache = nodeData.inputs?.cache;
const topP = nodeData.inputs?.topP;
const basePath = nodeData.inputs?.basepath;
const baseOptions = nodeData.inputs?.baseOptions;
const reasoningEffort = nodeData.inputs?.reasoningEffort;
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 allowImageUploads = nodeData.inputs?.allowImageUploads;
const imageResolution = nodeData.inputs?.imageResolution;
const obj = {
temperature: parseFloat(temperature),
modelName,
azureOpenAIApiKey,
azureOpenAIApiInstanceName,
azureOpenAIApiDeploymentName,
azureOpenAIApiVersion,
streaming: streaming ?? true
};
if (maxTokens)
obj.maxTokens = parseInt(maxTokens, 10);
if (frequencyPenalty)
obj.frequencyPenalty = parseFloat(frequencyPenalty);
if (presencePenalty)
obj.presencePenalty = parseFloat(presencePenalty);
if (timeout)
obj.timeout = parseInt(timeout, 10);
if (cache)
obj.cache = cache;
if (topP)
obj.topP = parseFloat(topP);
if (basePath)
obj.azureOpenAIBasePath = basePath;
if (baseOptions) {
try {
const parsedBaseOptions = typeof baseOptions === 'object' ? baseOptions : JSON.parse(baseOptions);
obj.configuration = {
defaultHeaders: parsedBaseOptions
};
}
catch (exception) {
console.error('Error parsing base options', exception);
}
}
if (modelName === 'o3-mini' || modelName.includes('o1')) {
delete obj.temperature;
}
if ((modelName.includes('o1') || modelName.includes('o3')) && reasoningEffort) {
obj.reasoningEffort = reasoningEffort;
}
const multiModalOption = {
image: {
allowImageUploads: allowImageUploads ?? false,
imageResolution
}
};
const model = new DtamindAzureChatOpenAI_1.AzureChatOpenAI(nodeData.id, obj);
model.setMultiModalOption(multiModalOption);
return model;
}
}
module.exports = { nodeClass: AzureChatOpenAI_ChatModels };
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