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6import Steel, { type Session } from 'steel-sdk';
7
8// This is a placeholder function showing how you would call an AI API.
9// You would replace this with the actual Google AI SDK (`@google/generative-ai`).
10async function getTextFromImageWithGemini(filePath: string): Promise<string> {
14  // In a real scenario, you would:
15  // 1. Install the Google AI SDK: `npm install @google/generative-ai`
16  // 2. Initialize the Gemini client with your API key.
17  // 3. Read the image file from the filePath.
18  // 4. Convert it to a format the API accepts (like base64).
19  // 5. Send it to the model (e.g., 'gemini-1.5-flash').
20  // 6. Return the `model.generateContent()` response.
27
28async function main(): Promise<void> {
29  if (!process.env.STEEL_API_KEY) {
30    console.error("Fatal: STEEL_API_KEY environment variable is not set.");
31    process.exit(1);
32  }
36
37  try {
38    const client = new Steel({ steelAPIKey: process.env.STEEL_API_KEY });
39
40    console.log("Creating Steel session...");
43
44    browser = await puppeteer.connect({
45      browserWSEndpoint: `wss://connect.steel.dev?apiKey=${process.env.STEEL_API_KEY}&sessionId=${session.id}`,
46    });
47    console.log("Connected to browser via Puppeteer");

Plantfocache.ts1 match

@Llad•Updated 4 hours ago

109  } catch (error) {
110    console.error('Error caching plant:', error);
111    // Don't throw error - caching failure shouldn't break the API
112  }
113}