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ai-editor.ts
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| 6f2809f | 1 | /** |
| 2 | * AI editor API routes — inline suggestions, code explanation, and fix generation. | |
| 3 | * | |
| 4 | * All endpoints require an authenticated session and `ANTHROPIC_API_KEY`. | |
| 5 | * Rate-limited to 30 suggestion requests per user per hour (in-memory). | |
| 6 | * | |
| 7 | * Routes: | |
| 8 | * POST /api/ai/suggest — code completion (ghost text) | |
| 9 | * POST /api/ai/explain — explain selected code | |
| 10 | * POST /api/ai/fix — fix code given a GateTest / error message | |
| 11 | */ | |
| 12 | ||
| 13 | import { Hono } from "hono"; | |
| 14 | import { requireAuth } from "../middleware/auth"; | |
| 15 | import { isAiAvailable, getAnthropic, MODEL_HAIKU, MODEL_SONNET, extractText } from "../lib/ai-client"; | |
| 16 | import type { AuthEnv } from "../middleware/auth"; | |
| 17 | ||
| 18 | const aiEditor = new Hono<AuthEnv>(); | |
| 19 | ||
| 20 | // ─── Rate-limit store ──────────────────────────────────────────────────────── | |
| 21 | // Simple in-memory map: userId → array of request timestamps (ms). | |
| 22 | // Cleaned lazily to avoid unbounded growth on high-traffic servers. | |
| 23 | const QUOTA_WINDOW_MS = 60 * 60 * 1_000; // 1 hour | |
| 24 | const QUOTA_MAX = 30; | |
| 25 | ||
| 26 | const suggestQuota = new Map<number, number[]>(); | |
| 27 | ||
| 28 | function checkQuota(userId: number): { allowed: boolean; resetInMinutes: number } { | |
| 29 | const now = Date.now(); | |
| 30 | const cutoff = now - QUOTA_WINDOW_MS; | |
| 31 | let timestamps = suggestQuota.get(userId) ?? []; | |
| 32 | // Purge expired entries | |
| 33 | timestamps = timestamps.filter((t) => t > cutoff); | |
| 34 | ||
| 35 | if (timestamps.length >= QUOTA_MAX) { | |
| 36 | const oldest = timestamps[0]!; | |
| 37 | const resetInMs = oldest + QUOTA_WINDOW_MS - now; | |
| 38 | const resetInMinutes = Math.ceil(resetInMs / 60_000); | |
| 39 | suggestQuota.set(userId, timestamps); | |
| 40 | return { allowed: false, resetInMinutes }; | |
| 41 | } | |
| 42 | ||
| 43 | timestamps.push(now); | |
| 44 | suggestQuota.set(userId, timestamps); | |
| 45 | return { allowed: true, resetInMinutes: 0 }; | |
| 46 | } | |
| 47 | ||
| 48 | // ─── POST /api/ai/suggest ──────────────────────────────────────────────────── | |
| 49 | aiEditor.post("/api/ai/suggest", requireAuth, async (c) => { | |
| 50 | if (!isAiAvailable()) { | |
| 51 | return c.json( | |
| 52 | { error: "AI suggestions unavailable — ANTHROPIC_API_KEY not configured." }, | |
| 53 | 503 | |
| 54 | ); | |
| 55 | } | |
| 56 | ||
| 57 | const user = c.get("user")!; | |
| 58 | const quota = checkQuota(user.id); | |
| 59 | if (!quota.allowed) { | |
| 60 | return c.json( | |
| 61 | { | |
| 62 | error: `AI suggestion quota reached. Resets in ${quota.resetInMinutes} minute${quota.resetInMinutes === 1 ? "" : "s"}.`, | |
| 63 | }, | |
| 64 | 429 | |
| 65 | ); | |
| 66 | } | |
| 67 | ||
| 68 | let body: { code?: string; language?: string; cursor?: number }; | |
| 69 | try { | |
| 70 | body = await c.req.json(); | |
| 71 | } catch { | |
| 72 | return c.json({ error: "Invalid JSON body." }, 400); | |
| 73 | } | |
| 74 | ||
| 75 | const code = String(body.code ?? "").slice(0, 2000); | |
| 76 | const language = String(body.language ?? "plaintext"); | |
| 77 | const cursor = Number(body.cursor ?? code.length); | |
| 78 | ||
| 79 | const beforeCursor = code.slice(0, cursor); | |
| 80 | const afterCursor = code.slice(cursor); | |
| 81 | ||
| 82 | const prompt = | |
| 83 | `Language: ${language}\n\n` + | |
| 84 | `Code before cursor:\n${beforeCursor}\n\n` + | |
| 85 | (afterCursor.trim() | |
| 86 | ? `Code after cursor (context only — do NOT repeat it):\n${afterCursor}\n\n` | |
| 87 | : "") + | |
| 88 | "Complete the code at the cursor position. Return ONLY the completion text to insert, no explanation, no markdown, no code fences."; | |
| 89 | ||
| 90 | try { | |
| 91 | const anthropic = getAnthropic(); | |
| 92 | const message = await anthropic.messages.create({ | |
| a5705cf | 93 | model: MODEL_SONNET, |
| 6f2809f | 94 | max_tokens: 256, |
| 95 | system: | |
| 96 | "You are a code completion AI. Complete the code snippet at the cursor. " + | |
| 97 | "Return ONLY the completion text — no explanation, no markdown, no code fences. " + | |
| 98 | "Keep completions concise (prefer single-line or a few lines). " + | |
| 99 | "If you have nothing useful to add, return an empty string.", | |
| 100 | messages: [{ role: "user", content: prompt }], | |
| 101 | }); | |
| 102 | ||
| 103 | const suggestion = extractText(message).trimEnd(); | |
| 104 | return c.json({ suggestion }); | |
| 105 | } catch (err) { | |
| 106 | const msg = err instanceof Error ? err.message : "AI request failed."; | |
| 107 | return c.json({ error: msg }, 500); | |
| 108 | } | |
| 109 | }); | |
| 110 | ||
| 111 | // ─── POST /api/ai/explain ──────────────────────────────────────────────────── | |
| 112 | aiEditor.post("/api/ai/explain", requireAuth, async (c) => { | |
| 113 | if (!isAiAvailable()) { | |
| 114 | return c.json( | |
| 115 | { error: "AI explanations unavailable — ANTHROPIC_API_KEY not configured." }, | |
| 116 | 503 | |
| 117 | ); | |
| 118 | } | |
| 119 | ||
| 120 | let body: { code?: string; language?: string }; | |
| 121 | try { | |
| 122 | body = await c.req.json(); | |
| 123 | } catch { | |
| 124 | return c.json({ error: "Invalid JSON body." }, 400); | |
| 125 | } | |
| 126 | ||
| 127 | const code = String(body.code ?? "").slice(0, 4000); | |
| 128 | const language = String(body.language ?? "plaintext"); | |
| 129 | ||
| 130 | if (!code.trim()) { | |
| 131 | return c.json({ error: "No code provided." }, 400); | |
| 132 | } | |
| 133 | ||
| 134 | try { | |
| 135 | const anthropic = getAnthropic(); | |
| 136 | const message = await anthropic.messages.create({ | |
| 137 | model: MODEL_SONNET, | |
| 138 | max_tokens: 512, | |
| 139 | system: | |
| 140 | "You are a senior engineer explaining code to a fellow developer. " + | |
| 141 | "Be concise and precise. Use plain text (no markdown headers). " + | |
| 142 | "One or two short paragraphs maximum.", | |
| 143 | messages: [ | |
| 144 | { | |
| 145 | role: "user", | |
| 146 | content: `Language: ${language}\n\nExplain this code:\n\`\`\`\n${code}\n\`\`\``, | |
| 147 | }, | |
| 148 | ], | |
| 149 | }); | |
| 150 | ||
| 151 | const explanation = extractText(message).trim(); | |
| 152 | return c.json({ explanation }); | |
| 153 | } catch (err) { | |
| 154 | const msg = err instanceof Error ? err.message : "AI request failed."; | |
| 155 | return c.json({ error: msg }, 500); | |
| 156 | } | |
| 157 | }); | |
| 158 | ||
| 159 | // ─── POST /api/ai/fix ──────────────────────────────────────────────────────── | |
| 160 | aiEditor.post("/api/ai/fix", requireAuth, async (c) => { | |
| 161 | if (!isAiAvailable()) { | |
| 162 | return c.json( | |
| 163 | { error: "AI fix unavailable — ANTHROPIC_API_KEY not configured." }, | |
| 164 | 503 | |
| 165 | ); | |
| 166 | } | |
| 167 | ||
| 168 | let body: { code?: string; error?: string; language?: string }; | |
| 169 | try { | |
| 170 | body = await c.req.json(); | |
| 171 | } catch { | |
| 172 | return c.json({ error: "Invalid JSON body." }, 400); | |
| 173 | } | |
| 174 | ||
| 175 | const code = String(body.code ?? "").slice(0, 4000); | |
| 176 | const errorMsg = String(body.error ?? "").slice(0, 1000); | |
| 177 | const language = String(body.language ?? "plaintext"); | |
| 178 | ||
| 179 | if (!code.trim()) { | |
| 180 | return c.json({ error: "No code provided." }, 400); | |
| 181 | } | |
| 182 | ||
| 183 | const prompt = | |
| 184 | `Language: ${language}\n\n` + | |
| 185 | `Error message:\n${errorMsg}\n\n` + | |
| 186 | `Code with the problem:\n\`\`\`\n${code}\n\`\`\`\n\n` + | |
| 187 | "Return a JSON object with two fields: " + | |
| 188 | '"fix" (the corrected code, complete file content) and ' + | |
| 189 | '"explanation" (one short sentence describing what was wrong).'; | |
| 190 | ||
| 191 | try { | |
| 192 | const anthropic = getAnthropic(); | |
| 193 | const message = await anthropic.messages.create({ | |
| 194 | model: MODEL_SONNET, | |
| 195 | max_tokens: 1024, | |
| 196 | system: | |
| 197 | "You are an expert code fixer. Given an error and code, return valid JSON with " + | |
| 198 | '"fix" (corrected code, no markdown fences) and "explanation" (one-sentence reason). ' + | |
| 199 | "Return ONLY the JSON object, nothing else.", | |
| 200 | messages: [{ role: "user", content: prompt }], | |
| 201 | }); | |
| 202 | ||
| 203 | const raw = extractText(message).trim(); | |
| 204 | ||
| 205 | // Try to parse the JSON response | |
| 206 | let fix = ""; | |
| 207 | let explanation = ""; | |
| 208 | try { | |
| 209 | // Strip possible ```json fences | |
| 210 | const cleaned = raw | |
| 211 | .replace(/^```(?:json)?\s*/i, "") | |
| 212 | .replace(/\s*```$/i, "") | |
| 213 | .trim(); | |
| 214 | const parsed = JSON.parse(cleaned); | |
| 215 | fix = String(parsed.fix ?? ""); | |
| 216 | explanation = String(parsed.explanation ?? ""); | |
| 217 | } catch { | |
| 218 | // Fallback: return raw as fix text | |
| 219 | fix = raw; | |
| 220 | explanation = "AI returned a fix but could not parse structured response."; | |
| 221 | } | |
| 222 | ||
| 223 | return c.json({ fix, explanation }); | |
| 224 | } catch (err) { | |
| 225 | const msg = err instanceof Error ? err.message : "AI request failed."; | |
| 226 | return c.json({ error: msg }, 500); | |
| 227 | } | |
| 228 | }); | |
| 229 | ||
| 230 | export default aiEditor; |