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Supports Groq, Gemini, OpenAI, or Anthropic.\n// Provider precedence when none is specified: groq > gemini > openai > anthropic.\nimport { actions, type ActionDef } from \"./actions.ts\";\nimport type { ShortcutStep } from \"./builder.ts\";\n\ntype Provider = \"groq\" | \"gemini\" | \"openai\" | \"anthropic\";\nconst GROQ_MODEL = \"openai/gpt-oss-120b\";\nconst GEMINI_MODEL = \"gemini-3.6-flash\";\n\nexport function aiConfigured(): boolean {\n return Boolean(\n Deno.env.get(\"GROQ_API_KEY\") || Deno.env.get(\"GEMINI_API_KEY\") ||\n Deno.env.get(\"OPENAI_API_KEY\") || Deno.env.get(\"ANTHROPIC_API_KEY\"),\n );\n}\n\ntype AiResult = { name: string; steps: ShortcutStep[]; error?: string };\n\n// Compact inventory of actions for the model (id, fields keys) — keeps the prompt small.\nfunction inventory(): string {\n return actions.map((a) => {\n const keys = a.fields.map((f) => f.key).join(\", \") || \"none\";\n return `- ${a.id} (${a.name})[${a.fields.length ? \"fields: \" + keys : \"no fields\"}]`;\n }).join(\"\\n\");\n}\n\nconst SYSTEM = `You are an elite iOS Shortcuts engineer. Convert a plain-English request into a complete,\nadvanced Shortcut expressed ONLY as an array of actions drawn from the provided catalog.\n\nRULES\n- Use ONLY identifiers listed below. Never invent them.\n- Set parameters using the exact field keys described per action.\n- Reference outputs with \"{{Magic Variable}}\" strings: {{Text}}, {{Contents of URL}},\n {{Shortcut Input}}, {{Repeat Index}}, {{Repeat Item}}, {{Provided Input}}, {{JavaScript Result}}, etc.\n- STRIVE for depth: chain multiple actions into a real workflow. Prefer variables (Set Variable) to\n carry data between steps instead of only relying on magic output names. Use JSON parsing + Dictionary\n value extraction after API calls. Use regex (Match/Replace Text) to transform text. Use math + format\n number when numbers are involved. Add a meaningful condition (If/Otherwise) or loop when the request\n implies branching or repetition. End sensibly with a terminal action (Show Result / Notification /\n Show Alert / Create Note / Open URLs).\n- Control flow precisely:\n * If ... : is.workflow.actions.conditional (values: WFInput, WFConditionalIfCondition)\n else: is.workflow.actions.conditional.condition, then is.workflow.actions.conditional.end. Always close!\n * Repeat N: is.workflow.actions.repeat.count (WFRepeatCount) ... is.workflow.actions.repeat. Always close!\n * Menu: is.workflow.actions.choosefrommenu, then is.workflow.actions.choosefrommenu.item (WFMenuItemTitle)\n per choice with its actions between, then is.workflow.actions.choosefrommenu.end.\n- Output STRICT JSON only, NO markdown, NO commentary. Shape:\n{\"name\":\"Title Case\",\"steps\":[{\"id\":\"is.workflow.actions.text\",\"values\":{\"Text\":\"https://...\"}},{\"id\":\"is.workflow.actions.downloadurl\",\"values\":{}}, ...]}\n\nEXAMPLE of an expert answer (shape only):\n{\"name\":\"Weather Alert\",\"steps\":[\n{\"id\":\"is.workflow.actions.text\",\"values\":{\"Text\":\"https://api.example.com/now\"}},\n{\"id\":\"is.workflow.actions.downloadurl\",\"values\":{}},\n{\"id\":\"is.workflow.actions.property\",\"values\":{\"CustomOutputName\":\"Json\"}},\n{\"id\":\"is.workflow.actions.getvalueforkey\",\"values\":{\"WFInput\":\"{{Json}}\",\"WFDictionaryKey\":\"temp\"}},\n{\"id\":\"is.workflow.actions.setvariable\",\"values\":{\"WFVariableName\":\"temp\"}},\n{\"id\":\"is.workflow.actions.conditional\",\"values\":{\"WFInput\":\"{{temp}}\",\"WFConditionalIfCondition\":\"Is Greater Than\"}},\n{\"id\":\"is.workflow.actions.notification\",\"values\":{\"WFNotificationActionBody\":\"Hot: {{temp}}\",\"WFNotificationActionTitle\":\"Alert\"}},\n{\"id\":\"is.workflow.actions.conditional.condition\",\"values\":{}},\n{\"id\":\"is.workflow.actions.text\",\"values\":{\"Text\":\"Mild: {{temp}}\"}},\n{\"id\":\"is.workflow.actions.showresult\",\"values\":{\"Text\":\"{{Text}}\"}},\n{\"id\":\"is.workflow.actions.conditional.end\",\"values\":{}}]}\n\nCATALOG\n${inventory()}`;\n\nasync function callOpenAICompat(prompt: string, baseUrl: string, key: string, model: string, forceJson = true): Promise {\n const body: Record = {\n model,\n temperature: 0.4,\n messages: [\n { role: \"system\", content: SYSTEM },\n { role: \"user\", content: prompt },\n ],\n };\n if (forceJson) body.response_format = { type: \"json_object\" };\n const res = await fetch(`${baseUrl}/chat/completions`, {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\", Authorization: `Bearer ${key}` },\n body: JSON.stringify(body),\n });\n if (!res.ok) throw new Error(`LLM error ${res.status}: ${await res.text()}`);\n const data = await res.json();\n return data.choices?.[0]?.message?.content ?? \"\";\n}\n\nasync function callGroq(prompt: string): Promise {\n // gpt-oss models on Groq sometimes reject strict json_object; we lean on the\n // prompt instruction + robust extraction instead.\n return callOpenAICompat(prompt, \"https://api.groq.com/openai/v1\", Deno.env.get(\"GROQ_API_KEY\")!, GROQ_MODEL, false);\n}\n\nasync function callOpenAI(prompt: string): Promise {\n return callOpenAICompat(prompt, \"https://api.openai.com/v1\", Deno.env.get(\"OPENAI_API_KEY\")!, \"gpt-4o-mini\");\n}\n\nasync function callAnthropic(prompt: string): Promise {\n const key = Deno.env.get(\"ANTHROPIC_API_KEY\")!;\n const res = await fetch(\"https://api.anthropic.com/v1/messages\", {\n method: \"POST\",\n headers: {\n \"Content-Type\": \"application/json\",\n \"x-api-key\": key,\n \"anthropic-version\": \"2023-06-01\",\n },\n body: JSON.stringify({\n model: \"claude-sonnet-4-20250514\",\n max_tokens: 4096,\n temperature: 0.4,\n system: SYSTEM,\n messages: [{ role: \"user\", content: prompt }],\n }),\n });\n if (!res.ok) throw new Error(`Anthropic error ${res.status}: ${await res.text()}`);\n const data = await res.json();\n return data.content?.find((c: { type: string }) => c.type === \"text\")?.text ?? \"\";\n}\n\nasync function callGemini(prompt: string): Promise {\n const key = Deno.env.get(\"GEMINI_API_KEY\")!;\n const res = await fetch(\n `https://generativelanguage.googleapis.com/v1beta/models/${GEMINI_MODEL}:generateContent?key=${key}`,\n {\n method: \"POST\",\n headers: { \"Content-Type\": \"application/json\" },\n body: JSON.stringify({\n systemInstruction: { parts: [{ text: SYSTEM }] },\n contents: [{ role: \"user\", parts: [{ text: prompt }] }],\n generationConfig: { responseMimeType: \"application/json\", temperature: 0.4 },\n }),\n },\n );\n if (!res.ok) throw new Error(`Gemini error ${res.status}: ${await res.text()}`);\n const data = await res.json();\n return data.candidates?.[0]?.content?.parts?.[0]?.text ?? \"\";\n}\n\n// Validate the model's output against the known catalog; drop unknown ids (keep menu helpers).\nfunction sanitize(raw: unknown): ShortcutStep[] | null {\n if (!raw || typeof raw !== \"object\") return null;\n const steps = (raw as { steps?: unknown }).steps;\n if (!Array.isArray(steps) || steps.length === 0) return null;\n const known = new Set(actions.map((a) => a.id));\n const music = new Set([\"is.workflow.actions.choosefrommenu\", \"is.workflow.actions.choosefrommenu.item\", \"is.workflow.actions.choosefrommenu.end\", \"is.workflow.actions.conditional\", \"is.workflow.actions.conditional.condition\", \"is.workflow.actions.conditional.end\", \"is.workflow.actions.repeat.count\", \"is.workflow.actions.repeat.each\", \"is.workflow.actions.repeat\"]);\n const out: ShortcutStep[] = [];\n for (const s of steps) {\n const id = (s as { id?: unknown })?.id;\n if (typeof id !== \"string\") continue;\n const values = (s as { values?: Record })?.values ?? {};\n if (known.has(id) || music.has(id)) out.push({ id, values: sanitizeValues(id, values) as Record });\n }\n return out.length ? out : null;\n}\n\n// Coerce a few field types to what the plist expects.\nfunction sanitizeValues(id: string, values: Record): Record {\n const def = actions.find((a) => a.id === id);\n if (!def) return values as Record;\n const out: Record = {};\n for (const f of def.fields) {\n const v = values[f.key];\n if (v === undefined || v === null || v === \"\") continue;\n if (f.type === \"number\") {\n const n = Number(v);\n out[f.key] = Number.isFinite(n) ? n : String(v);\n } else if (f.type === \"toggle\") {\n out[f.key] = String(v) === \"true\" || v === true;\n } else {\n out[f.key] = String(v);\n }\n }\n return out;\n}\n\nfunction pickProvider(wanted?: Provider): Provider {\n if (wanted && Deno.env.get(KEY_TO_ENV[wanted])) return wanted;\n const order: Provider[] = [\"groq\", \"gemini\", \"openai\", \"anthropic\"];\n return order.find((p) => Deno.env.get(KEY_TO_ENV[p])) ?? 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