anything-llm/server/utils/openAi/index.js
timothycarambat 8947e63042 remove org id
2023-06-09 08:58:07 -07:00

77 lines
2.1 KiB
JavaScript

const { Configuration, OpenAIApi } = require("openai");
class OpenAi {
constructor() {
const config = new Configuration({
apiKey: process.env.OPEN_AI_KEY,
// organization: "org-123xyz", // Optional
});
const openai = new OpenAIApi(config);
this.openai = openai;
}
isValidChatModel(modelName = "") {
const validModels = ["gpt-4", "gpt-3.5-turbo"];
return validModels.includes(modelName);
}
async isSafe(input = "") {
const { flagged = false, categories = {} } = await this.openai
.createModeration({ input })
.then((json) => {
const res = json.data;
if (!res.hasOwnProperty("results"))
throw new Error("OpenAI moderation: No results!");
if (res.results.length === 0)
throw new Error("OpenAI moderation: No results length!");
return res.results[0];
});
if (!flagged) return { safe: true, reasons: [] };
const reasons = Object.keys(categories)
.map((category) => {
const value = categories[category];
if (value === true) {
return category.replace("/", " or ");
} else {
return null;
}
})
.filter((reason) => !!reason);
return { safe: false, reasons };
}
async sendChat(chatHistory = [], prompt) {
const model = process.env.OPEN_MODEL_PREF;
if (!this.isValidChatModel(model))
throw new Error(
`OpenAI chat: ${model} is not valid for chat completion!`
);
const textResponse = await this.openai
.createChatCompletion({
model,
temperature: 0.7,
n: 1,
messages: [
{ role: "system", content: "" },
...chatHistory,
{ role: "user", content: prompt },
],
})
.then((json) => {
const res = json.data;
if (!res.hasOwnProperty("choices"))
throw new Error("OpenAI chat: No results!");
if (res.choices.length === 0)
throw new Error("OpenAI chat: No results length!");
return res.choices[0].message.content;
});
return textResponse;
}
}
module.exports = {
OpenAi,
};