dtamind-components
Version:
Apps integration for Dtamind. Contain Nodes and Credentials.
156 lines • 5.68 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
const anthropic_1 = require("@langchain/anthropic");
const utils_1 = require("../../../src/utils");
const DtamindChatAnthropic_1 = require("./DtamindChatAnthropic");
const modelLoader_1 = require("../../../src/modelLoader");
class ChatAnthropic_ChatModels {
constructor() {
//@ts-ignore
this.loadMethods = {
async listModels() {
return await (0, modelLoader_1.getModels)(modelLoader_1.MODEL_TYPE.CHAT, 'chatAnthropic');
}
};
this.label = 'ChatAnthropic';
this.name = 'chatAnthropic';
this.version = 8.0;
this.type = 'ChatAnthropic';
this.icon = 'Anthropic.svg';
this.category = 'Chat Models';
this.description = 'Wrapper around ChatAnthropic large language models that use the Chat endpoint';
this.baseClasses = [this.type, ...(0, utils_1.getBaseClasses)(anthropic_1.ChatAnthropic)];
this.credential = {
label: 'Connect Credential',
name: 'credential',
type: 'credential',
credentialNames: ['anthropicApi']
};
this.inputs = [
{
label: 'Cache',
name: 'cache',
type: 'BaseCache',
optional: true
},
{
label: 'Model Name',
name: 'modelName',
type: 'asyncOptions',
loadMethod: 'listModels',
default: 'claude-3-haiku'
},
{
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: 'maxTokensToSample',
type: 'number',
step: 1,
optional: true,
additionalParams: true
},
{
label: 'Top P',
name: 'topP',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Top K',
name: 'topK',
type: 'number',
step: 0.1,
optional: true,
additionalParams: true
},
{
label: 'Extended Thinking',
name: 'extendedThinking',
type: 'boolean',
description: 'Enable extended thinking for reasoning model such as Claude Sonnet 3.7',
optional: true,
additionalParams: true
},
{
label: 'Budget Tokens',
name: 'budgetTokens',
type: 'number',
step: 1,
default: 1024,
description: 'Maximum number of tokens Claude is allowed use for its internal reasoning process',
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
}
];
}
async init(nodeData, _, options) {
const temperature = nodeData.inputs?.temperature;
const modelName = nodeData.inputs?.modelName;
const maxTokens = nodeData.inputs?.maxTokensToSample;
const topP = nodeData.inputs?.topP;
const topK = nodeData.inputs?.topK;
const streaming = nodeData.inputs?.streaming;
const cache = nodeData.inputs?.cache;
const extendedThinking = nodeData.inputs?.extendedThinking;
const budgetTokens = nodeData.inputs?.budgetTokens;
const credentialData = await (0, utils_1.getCredentialData)(nodeData.credential ?? '', options);
const anthropicApiKey = (0, utils_1.getCredentialParam)('anthropicApiKey', credentialData, nodeData);
const allowImageUploads = nodeData.inputs?.allowImageUploads;
const obj = {
temperature: parseFloat(temperature),
modelName,
anthropicApiKey,
streaming: streaming ?? true
};
if (maxTokens)
obj.maxTokens = parseInt(maxTokens, 10);
if (topP)
obj.topP = parseFloat(topP);
if (topK)
obj.topK = parseFloat(topK);
if (cache)
obj.cache = cache;
if (extendedThinking) {
obj.thinking = {
type: 'enabled',
budget_tokens: parseInt(budgetTokens, 10)
};
delete obj.temperature;
}
const multiModalOption = {
image: {
allowImageUploads: allowImageUploads ?? false
}
};
const model = new DtamindChatAnthropic_1.ChatAnthropic(nodeData.id, obj);
model.setMultiModalOption(multiModalOption);
return model;
}
}
module.exports = { nodeClass: ChatAnthropic_ChatModels };
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