ThunderAI/js/api/openai.js

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2.4 KiB
JavaScript

/*
* ThunderAI [https://micz.it/thunderbird-addon-thunderai/]
* Copyright (C) 2024 Mic (m@micz.it)
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
// Some original methods derived from https://github.com/ali-raheem/Aify/blob/4ece286095ea7a6cf89d696902e6b81b5d1c3a4b/plugin/html/API.js
export class OpenAI {
apiKey = '';
constructor(apiKey) {
this.apiKey = apiKey;
}
fetchModels = async () => {
const response = await fetch("https://api.openai.com/v1/models", {
method: "GET",
headers: {
"Content-Type": "application/json",
Authorization: "Bearer "+ this.apiKey
},
});
if (!response.ok) {
const errorDetail = await response.text();
let err_msg = "[ThunderAI] OpenAI API request failed: " + response.status + " " + response.statusText + ", Detail: " + errorDetail;
console.log(err_msg);
throw new Error(err_msg);
}
return await response.json();
}
fetchResponse = async (model, messages, maxTokens) => {
const response = await fetch("https://api.openai.com/v1/chat/completions", {
method: "POST",
headers: {
"Content-Type": "application/json",
Authorization: "Bearer "+ this.apiKey
},
body: JSON.stringify({
model,
messages: messages,
...(maxTokens > 0 ? { 'max_tokens': parseInt(maxTokens) } : {})
}),
});
if (!response.ok) {
const errorDetail = await response.text();
let err_msg = "[ThunderAI] OpenAI API request failed: " + response.status + " " + response.statusText + ", Detail: " + errorDetail;
console.log(err_msg);
throw new Error(err_msg);
}
const responseData = await response.json();
return responseData.choices[0].message.content;
}
}