elpatron
fbfdceeee6
- Neue CalDAV-Route mit PROPFIND und GET-Endpoints - ICS-Format-Generator für Buchungsdaten - Token-basierte Authentifizierung für CalDAV-Zugriff - Admin-Interface mit CalDAV-Link-Generator - Schritt-für-Schritt-Anleitung für Kalender-Apps - 24h-Token-Ablaufzeit für Sicherheit - Unterstützung für Outlook, Google Calendar, Apple Calendar, Thunderbird Fixes: Admin kann jetzt Terminkalender in externen Apps abonnieren
80 lines
2.5 KiB
JavaScript
80 lines
2.5 KiB
JavaScript
import OpenAI from "openai";
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import { os } from "@orpc/server";
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import { z } from "zod";
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import { zodResponseFormat } from "../../lib/openai";
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if (!process.env.OPENAI_BASE_URL) {
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throw new Error("OPENAI_BASE_URL is not set");
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}
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if (!process.env.OPENAI_API_KEY) {
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throw new Error("OPENAI_API_KEY is not set");
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}
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const openai = new OpenAI({
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baseURL: process.env.OPENAI_BASE_URL,
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apiKey: process.env.OPENAI_API_KEY,
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});
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if (!process.env.OPENAI_DEFAULT_MODEL) {
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throw new Error("OPENAI_DEFAULT_MODEL is not set");
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}
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const DEFAULT_MODEL = process.env.OPENAI_DEFAULT_MODEL;
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const ChatCompletionInputSchema = z.object({
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message: z.string(),
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systemPrompt: z.string().optional(),
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});
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const GeneratePersonInputSchema = z.object({
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prompt: z.string(),
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});
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const complete = os
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.input(ChatCompletionInputSchema)
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.handler(async ({ input }) => {
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const { message, systemPrompt } = input;
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const completion = await openai.chat.completions.create({
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model: DEFAULT_MODEL,
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messages: [
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...(systemPrompt
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? [{ role: "system", content: systemPrompt }]
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: []),
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{ role: "user", content: message },
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],
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});
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return {
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response: completion.choices[0]?.message?.content || "",
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};
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});
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// Object generation schemas only support nullability, not optionality.
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// Use .nullable() instead of .optional() for fields that may not have values.
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const DemoSchema = z.object({
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name: z.string().describe("The name of the person"),
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age: z.number().describe("The age of the person"),
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occupation: z.string().describe("The occupation of the person"),
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bio: z.string().describe("The bio of the person"),
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nickname: z
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.string()
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.nullable()
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.describe("The person's nickname, if they have one"),
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});
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const generate = os
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.input(GeneratePersonInputSchema)
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.handler(async ({ input }) => {
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const completion = await openai.chat.completions.parse({
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model: DEFAULT_MODEL,
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messages: [
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{
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role: "user",
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content: `Generate a person based on this prompt: ${input.prompt}`,
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},
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],
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response_format: zodResponseFormat(DemoSchema, "person"),
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});
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const person = completion.choices[0]?.message?.parsed;
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if (!person) {
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throw new Error("No parsed data received from OpenAI");
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}
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return {
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person,
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};
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});
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export const router = {
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complete,
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generate,
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};
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