Arbitrary JSON API powered by GPT-4o

This endpoint generates JSON data based on the URL path and query parameters.

Try some examples:

\n `);\n }\n\n // System prompt to set the context and rules for the AI\n const systemPrompt =\n `You are a powerful API that generates structured JSON data based on a user's request. The request is described by an HTTP path and query parameters. Your only output must be a valid JSON object. Do not include any explanatory text, markdown, or code fences (like \\`\\`\\`json). Just the raw JSON.`;\n\n // User prompt that includes the specific request details\n const userPrompt = `\n Generate a JSON object for the following data request.\n\n Resource Path: ${path}\n Query Parameters: ${JSON.stringify(queryParams)}\n\n Based on the path and parameters, infer the user's intent and create a plausible, well-structured JSON response.\n For example, a request for '/users/123?fields=name,email' should return an object like {\"name\": \"John Doe\", \"email\": \"john.doe@example.com\"}.\n `;\n\n try {\n // Call the OpenAI Chat Completions API\n const completion = await openai.chat.completions.create({\n model: \"gpt-4o\",\n messages: [\n { role: \"system\", content: systemPrompt },\n { role: \"user\", content: userPrompt },\n ],\n // This is crucial for ensuring the output is always valid JSON\n response_format: { type: \"json_object\" },\n });\n\n const jsonString = completion.choices[0].message.content;\n\n // Parse the string response from the AI into a JSON object\n const jsonData = JSON.parse(jsonString);\n\n // Return the JSON object. Hono sets the 'Content-Type' header automatically.\n return c.json(jsonData);\n } catch (error) {\n console.error(\"Error calling OpenAI or parsing JSON:\", error);\n // Return a structured error message if something goes wrong\n return c.json({\n error: \"Failed to generate JSON response.\",\n details: error.message,\n }, 500);\n }\n});\n\n// Export the Hono app's fetch handler, which is the standard for Val Town HTTP endpoints\nexport default app.fetch;","deleted","label","synthesize","children",[],[151],"files",[149],"counts",{"_175":31,"_176":177,"_178":31,"_179":31},"pulls","branches",1,"forks","envVars","contents",[182],{"_107":150,"_100":151,"_152":153,"_154":-5,"_155":139,"_156":138,"_157":158,"_109":183,"_104":160,"_161":162,"_163":164,"_165":27,"_166":167,"_103":184},["D",1750452618922],[151],"file","upstreamProject","upstreamBranch","emptyEnvVars","isNew","routes/_app.x.$handle.$name._index",{"_98":99,"_100":101,"_102":-7,"_104":-7,"_105":192,"_180":196,"_199":-7,"_200":-5,"_201":-5,"_171":202,"_206":207},{"_107":108,"_100":101,"_109":193,"_111":-5,"_112":27,"_113":114,"_115":116,"_117":-5,"_12":118,"_119":-5,"_120":27,"_121":-5,"_122":31,"_123":124,"_125":124,"_126":127,"_128":127,"_129":127,"_130":124,"_131":124,"_132":27,"_21":194,"_136":195},["D",1750452226720],{"_98":99,"_134":135},{"_104":138,"_100":42,"_107":139,"_140":108,"_141":-5,"_142":-5,"_143":-5,"_144":-5,"_145":101,"_146":99},[197],{"_107":150,"_100":151,"_152":153,"_154":-5,"_155":139,"_156":138,"_157":158,"_109":183,"_104":160,"_161":162,"_163":164,"_165":27,"_166":167,"_103":198},[151],"readme","upstream","pull",[203],{"_107":150,"_100":151,"_152":153,"_154":-5,"_155":139,"_156":138,"_157":158,"_109":159,"_104":160,"_161":162,"_163":164,"_165":27,"_166":167,"_168":204,"_103":205},[],[151],"previews",[203],"routes/_app","actionData","errors"]