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reason?: string }[];\n attachments: {\n url: string;\n content_type: string;\n name: string;\n parsed_content?: string;\n }[];\n}\n\ninterface Query {\n version: string;\n type: \"query\";\n query: ChatMessage[];\n message_id: string;\n user_id: string;\n conversation_id: string;\n metadata: string;\n language_code: string;\n}\n\ninterface BotSettings {\n allow_attachments?: boolean;\n expand_text_attachments?: boolean;\n enable_multi_bot_chat_prompting?: boolean;\n enable_suggested_replies?: boolean;\n rate_card?: string;\n cost_label?: string;\n supports_system_messages?: boolean;\n suggested_replies?: boolean;\n}\n\ntype Events = {\n meta: { content_type: string; suggested_replies?: boolean };\n text: { text: string };\n replace_response: { text: string };\n suggested_reply: { text: string };\n error: { allow_retry?: boolean; text: string };\n done: {};\n};\n\ntype SendEvent = (event: E, data: Events[E]) => void;\n\ninterface LLMConfig {\n url: string;\n apiKey: string;\n model: string;\n headers?: Record;\n}\n\n// ---------- Text extraction ----------\n\nfunction extractQuotes(text: string, query: string): string[] {\n const terms = query\n .toLowerCase()\n .split(/\\s+/)\n .filter((t) => t.length > 2);\n\n if (terms.length === 0) return [];\n\n const threshold = Math.min(2, terms.length);\n const sentences = text\n .split(/[.!?]+/)\n .map((s) => s.replace(/\\s+/g, \" \").trim())\n .filter((s) => s.length > 30 && s.length < 300);\n\n const seen = new Set();\n const quotes: string[] = [];\n\n for (const sentence of sentences) {\n const lower = sentence.toLowerCase();\n const hits = terms.filter((t) => lower.includes(t)).length;\n if (hits >= threshold && !seen.has(sentence)) {\n seen.add(sentence);\n quotes.push(sentence);\n if (quotes.length >= 5) break;\n }\n }\n\n return quotes;\n}\n\nfunction scoreRelevance(text: string, query: string): number {\n const lower = text.toLowerCase();\n const terms = query.toLowerCase().split(/\\s+/);\n let score = 0;\n\n for (const term of terms) {\n const matches = lower.match(new RegExp(`\\\\b${term}\\\\b`, \"gi\"));\n if (matches) score += matches.length * 2;\n }\n\n if (lower.includes(query.toLowerCase())) score += 20;\n return Math.min(score, 100);\n}\n\nfunction parseResult(\n raw: { title: string; url: string; snippet: string; age?: string },\n query: string\n): SearchResult | null {\n let hostname: string;\n try {\n hostname = new URL(raw.url).hostname;\n } catch {\n return null;\n }\n\n const text = `${raw.title} ${raw.snippet}`;\n return {\n title: raw.title,\n url: raw.url,\n snippet: raw.snippet || \"\",\n quotes: extractQuotes(text, query),\n relevance: scoreRelevance(text, query),\n hostname,\n timestamp: raw.age,\n };\n}\n\nfunction dedupeAndRank(results: SearchResult[]): SearchResult[] {\n const seen = new Set();\n return results\n .filter((r) => {\n if (seen.has(r.url)) return false;\n seen.add(r.url);\n return true;\n })\n .sort((a, b) => b.relevance - a.relevance)\n .slice(0, MAX_RESULTS);\n}\n\n// ---------- Search providers ----------\n\nfunction buildQueryVariations(query: string): string[] {\n return [...new Set([query, `\"${query}\"`, `${query} explained`, `what is ${query}`])];\n}\n\nasync function searchBrave(query: string): Promise {\n const key = process.env.BRAVE_API_KEY;\n if (!key) return [];\n\n const results: SearchResult[] = [];\n\n for (const q of buildQueryVariations(query)) {\n if (results.length >= MAX_RESULTS) break;\n\n try {\n const res = await fetch(\n `https://api.search.brave.com/res/v1/web/search?q=${encodeURIComponent(q)}&count=20`,\n {\n headers: { Accept: \"application/json\", \"X-Subscription-Token\": key },\n signal: AbortSignal.timeout(SEARCH_TIMEOUT_MS),\n }\n );\n if (!res.ok) continue;\n\n const data = await res.json();\n for (const item of data.web?.results ?? []) {\n const parsed = parseResult(\n { title: item.title, url: item.url, snippet: item.description, age: item.age },\n query\n );\n if (parsed && parsed.quotes.length > 0) results.push(parsed);\n }\n } catch (err) {\n console.error(`Brave search failed for \"${q}\":`, err);\n }\n }\n\n return results;\n}\n\nasync function searchSerper(query: string): Promise {\n const key = process.env.SERPER_API_KEY;\n if (!key) return [];\n\n try {\n const res = await fetch(\"https://google.serper.dev/search\", {\n method: \"POST\",\n headers: { \"X-API-KEY\": key, \"Content-Type\": \"application/json\" },\n body: JSON.stringify({ q: query, num: 10 }),\n signal: AbortSignal.timeout(FALLBACK_TIMEOUT_MS),\n });\n if (!res.ok) return [];\n\n const data = await res.json();\n return (data.organic ?? [])\n .map((item: any) =>\n parseResult({ title: item.title, url: item.link, snippet: item.snippet }, query)\n )\n .filter(Boolean) as SearchResult[];\n } catch (err) {\n console.error(\"Serper search failed:\", err);\n return [];\n }\n}\n\nasync function searchGoogle(query: string): Promise {\n const apiKey = process.env.GOOGLE_API_KEY;\n const cx = process.env.GOOGLE_CX;\n if (!apiKey || !cx) return [];\n\n try {\n const res = await fetch(\n `https://www.googleapis.com/customsearch/v1?key=${apiKey}&cx=${cx}&q=${encodeURIComponent(query)}&num=10`,\n { signal: AbortSignal.timeout(FALLBACK_TIMEOUT_MS) }\n );\n if (!res.ok) return [];\n\n const data = await res.json();\n return (data.items ?? [])\n .map((item: any) =>\n parseResult({ title: item.title, url: item.link, snippet: item.snippet }, query)\n )\n .filter(Boolean) as SearchResult[];\n } catch (err) {\n console.error(\"Google search failed:\", err);\n return [];\n }\n}\n\nasync function search(query: string): Promise {\n let results = await searchBrave(query);\n\n if (results.length < 10) {\n results.push(...(await searchSerper(query)));\n }\n if (results.length < 10) {\n results.push(...(await searchGoogle(query)));\n }\n\n return dedupeAndRank(results);\n}\n\n// ---------- LLM synthesis ----------\n\nfunction buildPrompt(\n query: string,\n results: SearchResult[]\n): { system: string; user: string } {\n const sources = results\n .map(\n (r, i) =>\n `[${i + 1}] ${r.title} (${r.hostname})\\n${r.snippet}` +\n (r.quotes.length ? `\\nQuotes: ${r.quotes.map((q) => `\"${q}\"`).join(\"; \")}` : \"\")\n )\n .join(\"\\n\\n\");\n\n return {\n system:\n \"You are a research analyst. Synthesize the provided search results into a clear, \" +\n \"well-structured report. Cite sources by number (e.g. [1], [2]). Do not fabricate \" +\n \"information beyond what the sources provide. Be direct and specific.\",\n user: `Query: \"${query}\"\\n\\nSources:\\n${sources}\\n\\nWrite a thorough analysis with citations.`,\n };\n}\n\nasync function callLLM(\n config: LLMConfig,\n system: string,\n user: string\n): Promise {\n const res = await fetch(config.url, {\n method: \"POST\",\n headers: {\n Authorization: `Bearer ${config.apiKey}`,\n \"Content-Type\": \"application/json\",\n ...config.headers,\n },\n body: JSON.stringify({\n model: config.model,\n messages: [\n { role: \"system\", content: system },\n { role: \"user\", content: user },\n ],\n stream: false,\n max_tokens: 16384,\n temperature: 0.3,\n }),\n });\n\n if (!res.ok) {\n throw new Error(`LLM ${config.model}: ${res.status} ${res.statusText}`);\n }\n\n const data = await res.json();\n const content = data.choices?.[0]?.message?.content;\n if (!content) throw new Error(`LLM ${config.model}: empty response`);\n return content;\n}\n\nfunction getLLMConfigs(): LLMConfig[] {\n const groqKeys = [\n process.env.GROQ_API_KEY,\n process.env.GROQ_API_KEY2,\n process.env.GROQ_API_KEY3,\n process.env.GROQ_API_KEY4,\n ].filter(Boolean) as string[];\n\n const groqModels = [\n \"compound\",\n \"compound-mini\",\n \"meta-llama/llama-4-scout-17b-16e-instruct\",\n \"llama-3.3-70b-versatile\",\n ];\n\n const configs: LLMConfig[] = [];\n\n for (const model of groqModels) {\n for (const apiKey of groqKeys) {\n configs.push({\n url: \"https://api.groq.com/openai/v1/chat/completions\",\n apiKey,\n model,\n });\n }\n }\n\n const openRouterKey = process.env.OPENROUTER_API_KEY;\n if (openRouterKey) {\n configs.push({\n url: \"https://openrouter.ai/api/v1/chat/completions\",\n apiKey: openRouterKey,\n model: \"alibaba/tongyi-deepresearch-30b-a3b:free\",\n headers: {\n \"HTTP-Referer\": \"https://deep-search.app\",\n \"X-Title\": \"Deep Search\",\n },\n });\n }\n\n return configs;\n}\n\nasync function synthesize(\n query: string,\n results: SearchResult[]\n): Promise {\n const { system, user } = buildPrompt(query, results);\n\n for (const config of getLLMConfigs()) {\n try {\n return await callLLM(config, system, user);\n } catch (err) {\n console.error(`LLM failed (${config.model}):`, err);\n }\n }\n\n return null;\n}\n\n// ---------- Response formatting ----------\n\nfunction formatRawResults(results: SearchResult[]): string {\n let out = `## Search Results (${results.length} sources)\\n\\n`;\n\n for (let i = 0; i < results.length; i++) {\n const r = results[i];\n out += `### ${i + 1}. ${r.title}\\n`;\n out += `**Source:** ${r.hostname} · **Relevance:** ${r.relevance}%\\n`;\n out += `${r.url}\\n\\n`;\n out += `${r.snippet.slice(0, 200)}…\\n\\n`;\n if (r.quotes.length > 0) {\n out += r.quotes.map((q) => `> \"${q}\"`).join(\"\\n\\n\") + \"\\n\\n\";\n }\n out += \"---\\n\\n\";\n }\n\n return out;\n}\n\nfunction formatSourceList(results: SearchResult[]): string {\n return (\n \"\\n\\n## Sources\\n\" +\n results.map((r, i) => `${i + 1}. [${r.hostname}](${r.url})`).join(\"\\n\") +\n \"\\n\"\n );\n}\n\n// ---------- Bot handler ----------\n\nasync function handleQuery(req: Query, send: SendEvent): Promise {\n send(\"meta\", { content_type: \"text/markdown\", suggested_replies: true });\n\n const query = req.query[req.query.length - 1].content;\n\n send(\"text\", { text: `Searching...` });\n\n let results: SearchResult[];\n try {\n results = await search(query);\n send(\"text\", { text: `Found ${results.length} relevant results.\\n\\n` });\n } catch (err) {\n const msg = err instanceof Error ? err.message : String(err);\n send(\"text\", { text: `Search failed: ${msg}\\n\\n` });\n send(\"done\", {});\n return;\n }\n\n if (results.length === 0) {\n const encoded = encodeURIComponent(query);\n send(\"text\", {\n text:\n \"No relevant results found. Try refining your query or searching directly:\\n\\n\" +\n `- [Google](https://www.google.com/search?q=${encoded})\\n` +\n `- [Bing](https://www.bing.com/search?q=${encoded})\\n` +\n `- [DuckDuckGo](https://duckduckgo.com/?q=${encoded})`,\n });\n send(\"done\", {});\n return;\n }\n\n send(\"text\", { text: \"Synthesizing…\\n\\n\" });\n\n const analysis = await synthesize(query, results);\n send(\"text\", { text: analysis ?? formatRawResults(results) });\n send(\"text\", { text: formatSourceList(results) });\n send(\"done\", {});\n}\n\nfunction getSettings(): BotSettings {\n return {\n allow_attachments: false,\n expand_text_attachments: false,\n enable_multi_bot_chat_prompting: true,\n enable_suggested_replies: true,\n rate_card: `| Type | Cost |\\n|------|------|\\n| Search | ${POINTS_PER_QUERY} points |`,\n cost_label: `${POINTS_PER_QUERY} points`,\n supports_system_messages: true,\n suggested_replies: true,\n };\n}\n\n// ---------- HTTP entry point ----------\n\nfunction encodeSSE(event: string, data: unknown): Uint8Array {\n return new TextEncoder().encode(\n `event: ${event}\\ndata: ${JSON.stringify(data)}\\n\\n`\n );\n}\n\nexport default async function handler(req: Request): Promise {\n const body = await req.json().catch((err) => {\n console.error(\"Failed to parse request body:\", err);\n return {} as Record;\n });\n\n if (body.type === \"settings\") {\n return new Response(JSON.stringify(getSettings()), {\n status: 200,\n headers: { \"Content-Type\": \"application/json\" },\n });\n }\n\n const stream = new ReadableStream({\n start(controller) {\n const send: SendEvent = (event, data) => {\n controller.enqueue(encodeSSE(event, data));\n };\n\n handleQuery(body as Query, send)\n .catch((err) => console.error(\"Response handler error:\", err))\n .finally(() => controller.close());\n },\n });\n\n return new Response(stream, {\n status: 200,\n headers: { \"Content-Type\": \"text/event-stream\" },\n });\n}","deleted","label",[103],"permalink","https://www.val.town/x/MadeiInGermany/Quick-AI-Search/code/main.tsx","extension","actionData","errors"]