agsamantha/node_modules/@langchain/community/dist/llms/deepinfra.cjs
2024-10-02 15:15:21 -05:00

72 lines
2.4 KiB
JavaScript

"use strict";
Object.defineProperty(exports, "__esModule", { value: true });
exports.DeepInfraLLM = exports.ENV_VARIABLE = exports.DEFAULT_MODEL_NAME = exports.DEEPINFRA_API_BASE = void 0;
const llms_1 = require("@langchain/core/language_models/llms");
const env_1 = require("@langchain/core/utils/env");
exports.DEEPINFRA_API_BASE = "https://api.deepinfra.com/v1/openai/completions";
exports.DEFAULT_MODEL_NAME = "mistralai/Mixtral-8x22B-Instruct-v0.1";
exports.ENV_VARIABLE = "DEEPINFRA_API_TOKEN";
class DeepInfraLLM extends llms_1.LLM {
static lc_name() {
return "DeepInfraLLM";
}
constructor(fields = {}) {
super(fields);
Object.defineProperty(this, "lc_serializable", {
enumerable: true,
configurable: true,
writable: true,
value: true
});
Object.defineProperty(this, "apiKey", {
enumerable: true,
configurable: true,
writable: true,
value: void 0
});
Object.defineProperty(this, "model", {
enumerable: true,
configurable: true,
writable: true,
value: void 0
});
Object.defineProperty(this, "maxTokens", {
enumerable: true,
configurable: true,
writable: true,
value: void 0
});
Object.defineProperty(this, "temperature", {
enumerable: true,
configurable: true,
writable: true,
value: void 0
});
this.apiKey = fields.apiKey ?? (0, env_1.getEnvironmentVariable)(exports.ENV_VARIABLE);
this.model = fields.model ?? exports.DEFAULT_MODEL_NAME;
this.maxTokens = fields.maxTokens;
this.temperature = fields.temperature;
}
_llmType() {
return "DeepInfra";
}
async _call(prompt, options) {
const body = {
temperature: this.temperature,
max_tokens: this.maxTokens,
...options,
prompt,
model: this.model,
};
const response = await this.caller.call(() => fetch(exports.DEEPINFRA_API_BASE, {
method: "POST",
headers: {
Authorization: `Bearer ${this.apiKey}`,
"Content-Type": "application/json",
},
body: JSON.stringify(body),
}).then((res) => res.json()));
return response;
}
}
exports.DeepInfraLLM = DeepInfraLLM;