43 lines
1.3 KiB
TypeScript
43 lines
1.3 KiB
TypeScript
|
|
import { GoogleGenAI, Type } from "@google/genai";
|
|
|
|
const API_KEY = process.env.API_KEY;
|
|
|
|
if (!API_KEY) {
|
|
console.warn("Gemini API key not found. AI features will be disabled. Please set process.env.API_KEY.");
|
|
}
|
|
|
|
const ai = new GoogleGenAI({ apiKey: API_KEY! });
|
|
|
|
export const generateServiceDescription = async (serviceName: string): Promise<string> => {
|
|
if (!API_KEY) {
|
|
return `A local instance of ${serviceName}.`;
|
|
}
|
|
|
|
try {
|
|
const response = await ai.models.generateContent({
|
|
model: "gemini-2.5-flash",
|
|
contents: `Provide a concise, one-sentence description for a self-hosted service named "${serviceName}". This description will be shown on a personal dashboard.`,
|
|
config: {
|
|
responseMimeType: "application/json",
|
|
responseSchema: {
|
|
type: Type.OBJECT,
|
|
properties: {
|
|
description: {
|
|
type: Type.STRING,
|
|
description: "The generated one-sentence description for the service.",
|
|
},
|
|
},
|
|
},
|
|
},
|
|
});
|
|
|
|
const jsonText = response.text.trim();
|
|
const result = JSON.parse(jsonText);
|
|
return result.description || `A local instance of ${serviceName}.`;
|
|
} catch (error) {
|
|
console.error("Error fetching description from Gemini:", error);
|
|
return `A local instance of ${serviceName}.`;
|
|
}
|
|
};
|