{"record":{"id":"2f68737af5bd350d","repo":"firecrawl/open-lovable","slug":"http-error-status-response-status","errorCode":null,"errorMessage":"HTTP error! status: ${response.status}","messagePattern":"HTTP error! status: (.+?)","errorType":"exception","errorClass":null,"httpStatus":null,"severity":"error","filePath":"app/generation/page.tsx","lineNumber":1810,"sourceCode":"      \n      // Debug what we're sending\n      console.log('[chat] Sending context to AI:');\n      console.log('[chat] - sandboxId:', fullContext.sandboxId);\n      console.log('[chat] - isEdit:', conversationContext.appliedCode.length > 0);\n      \n      const response = await fetch('/api/generate-ai-code-stream', {\n        method: 'POST',\n        headers: { 'Content-Type': 'application/json' },\n        body: JSON.stringify({\n          prompt: message,\n          model: aiModel,\n          context: fullContext,\n          isEdit: conversationContext.appliedCode.length > 0\n        })\n      });\n      \n      if (!response.ok) {\n        throw new Error(`HTTP error! status: ${response.status}`);\n      }\n      \n      const reader = response.body?.getReader();\n      const decoder = new TextDecoder();\n      let generatedCode = '';\n      let explanation = '';\n      let buffer = ''; // Buffer for incomplete lines\n      \n      if (reader) {\n        while (true) {\n          const { done, value } = await reader.read();\n          if (done) break;\n          \n          const chunk = decoder.decode(value, { stream: true });\n          console.log('[chat] Received chunk:', chunk.length, 'bytes');\n          buffer += chunk;\n          const lines = buffer.split('\\n');\n          ","sourceCodeStart":1792,"sourceCodeEnd":1828,"githubUrl":"https://github.com/firecrawl/open-lovable/blob/69bd93bae7a9c97ef989eb70aabe6797fb3dac89/app/generation/page.tsx#L1792-L1828","documentation":"Generic HTTP guard thrown by AISandboxPage when the AI code-generation endpoint (called with fullContext and isEdit) returns a non-2xx status. Because it only reports response.status (a number) and not the body, the actual cause lives in the API response payload and server logs. It fires before any stream reading begins, meaning generation never started.","triggerScenarios":"The generation fetch resolves with response.ok === false: route validation rejected the request payload (context too large, missing fields), upstream LLM provider returned an error (invalid/missing API key, rate limit, quota exhausted), or the route itself is missing (404).","commonSituations":"LLM API key missing or expired in server env; OpenAI/Anthropic rate limit (429) or credit exhaustion (402); request payload exceeding body-size or context-token limits after many scraped websites accumulate in conversationContext; dev server restarted without the route compiled; auth middleware rejecting the request (401).","solutions":["Open the Network tab and inspect the response body of the failed request — the server usually returns a JSON error explaining the status","Check server-side LLM provider env vars (API key present, valid, funded) if status is 401/402/429","Reduce conversationContext size (trim scrapedWebsites/appliedCode) if status is 413 or a context-length error","Confirm the generation API route exists and its handler logs the upstream error","Retry with exponential backoff for 429/5xx statuses"],"exampleFix":"// before\nif (!response.ok) {\n  throw new Error(`HTTP error! status: ${response.status}`);\n}\n// after\nif (!response.ok) {\n  let detail = '';\n  try { detail = await response.text(); } catch {}\n  throw new Error(`Generation failed (${response.status}): ${detail || response.statusText}`);\n}","handlingStrategy":"retry","validationCode":"const payloadSize = JSON.stringify({ context: fullContext, isEdit }).length;\nif (payloadSize > 5_000_000) throw new Error('Generation context too large — trim conversationContext');\nif (!fullContext) throw new Error('No generation context provided');","typeGuard":"function isOkResponse(r: Response): r is Response & { ok: true; body: ReadableStream } {\n  return r.ok && r.body !== null;\n}","tryCatchPattern":"async function generateWithRetry(payload: unknown, maxRetries = 3) {\n  for (let i = 0; i < maxRetries; i++) {\n    const res = await fetch(GENERATION_URL, { method: 'POST', body: JSON.stringify(payload) });\n    if (res.ok && res.body) return res;\n    const detail = await res.text().catch(() => '');\n    if (![429, 500, 502, 503, 504].includes(res.status) || i === maxRetries - 1) {\n      throw new Error(`Generation failed (${res.status}): ${detail || res.statusText}`);\n    }\n    await new Promise(r => setTimeout(r, 2 ** i * 1000));\n  }\n  throw new Error('unreachable');\n}","preventionTips":["Retry 429/5xx with exponential backoff; fail fast on 4xx","Keep conversationContext (scrapedWebsites, appliedCode) trimmed to avoid payload/context limits","Verify LLM API keys and quota are configured server-side before sessions","Log response bodies from failed generation calls to diagnose provider errors","Confirm the generation route is deployed and streamable in the target environment"],"tags":["network","fetch","http-status","llm","streaming"],"backgroundTag":"http-non-2xx-response","analyzedSha":"69bd93bae7a9c97ef989eb70aabe6797fb3dac89","analyzedAt":"2026-08-28T22:20:32.339Z","schemaVersion":2},"datasetVersion":"2026-08-29T02:17:18.158Z"}