{"repo": "cepot-blip/deepseek-openai", "files": {"src/index.js": {"bf75b0d497d091b9c2862497ad3bc18e36248629": {"t": 1786068270.2980962, "n": 1239, "h": "2ea8e129bc14adb4", "c": "import express from \"express\";\nimport axios from \"axios\";\nimport { PrismaClient } from \"@prisma/client\";\nimport dotenv from \"dotenv\";\n\ndotenv.config();\nconst app = express();\nconst PORT = process.env.PORT || 3000;\nconst prisma = new PrismaClient();\nconst DEEPSEEK_API_KEY = process.env.DEEPSEEK_API_KEY;\n\napp.use(express.json());\n\napp.post(\"/chat\", async (req, res) => {\n  const { prompt } = req.body;\n\n  if (!prompt) return res.status(400).json({ error: \"Prompt is required\" });\n\n  try {\n    const response = await axios.post(\n      \"https://api.deepseek.com/v1/chat/completions\",\n      {\n        model: \"deepseek-chat\",\n        messages: [{ role: \"user\", content: prompt }],\n      },\n      {\n        headers: {\n          Authorization: `Bearer ${DEEPSEEK_API_KEY}`,\n          \"Content-Type\": \"application/json\",\n        },\n      }\n    );\n\n    const aiResponse = response.data.choices[0].message.content;\n\n    const chat = await prisma.chat.create({\n      data: { prompt, response: aiResponse },\n    });\n\n    res.json(chat);\n  } catch (error) {\n    console.error(error);\n    res.status(500).json({ error: \"Failed to generate response\" });\n  }\n});\n\napp.listen(PORT, () => {\n  console.log(`Server running on http://localhost:${PORT}`);\n});\n"}}}}