SheetHappens/lib/ai.ts

import * as SecureStore from "expo-secure-store";

export type AIProvider =
  | "anthropic"
  | "openai"
  | "perplexity"
  | "ollama"
  | "openrouter"
  | "custom";

const KEYS = {
  AI_PROVIDER: "pref_ai_provider",
  AI_BASE_URL: "pref_ai_base_url",
  AI_MODEL: "pref_ai_model",
  AI_KEY: "pref_ai_key",
};

export const AI_PROVIDER_BASE_URLS: Record<AIProvider, string> = {
  anthropic: "https://api.anthropic.com",
  openai: "https://api.openai.com/v1",
  perplexity: "https://api.perplexity.ai",
  ollama: "http://localhost:11434/v1",
  openrouter: "https://openrouter.ai/api/v1",
  custom: "",
};

export const AI_PROVIDER_MODEL_PLACEHOLDERS: Record<AIProvider, string> = {
  anthropic: "claude-haiku-4-5-20251001",
  openai: "gpt-4o-mini",
  perplexity: "llama-3.1-sonar-small-128k-online",
  ollama: "llama3.2",
  openrouter: "openai/gpt-4o-mini",
  custom: "model-name",
};

const SYSTEM_PROMPT =
  "You are a systems reliability engineer. Analyze the incident and respond with JSON ONLY " +
  "(no prose, no markdown fences):\n" +
  '{"root_cause":"...","fix":"..."}\n' +
  "Be concise and technical. Max 200 chars per field.";

async function getConfig() {
  const [provider, baseUrl, model, key] = await Promise.all([
    SecureStore.getItemAsync(KEYS.AI_PROVIDER),
    SecureStore.getItemAsync(KEYS.AI_BASE_URL),
    SecureStore.getItemAsync(KEYS.AI_MODEL),
    SecureStore.getItemAsync(KEYS.AI_KEY),
  ]);
  const p = (provider ?? "openai") as AIProvider;
  return {
    provider: p,
    baseUrl: baseUrl || AI_PROVIDER_BASE_URLS[p],
    model: model || AI_PROVIDER_MODEL_PLACEHOLDERS[p],
    key: key ?? "",
  };
}

export async function callAI(
  title: string,
  symptom: string
): Promise<{ rootCause: string; fix: string }> {
  const config = await getConfig();
  const userMsg = `Title: ${title}\nSymptom: ${symptom}`;

  const raw =
    config.provider === "anthropic"
      ? await callAnthropic(config, userMsg)
      : await callOpenAICompat(config, userMsg);

  try {
    const parsed = JSON.parse(raw) as { root_cause?: string; fix?: string };
    return {
      rootCause: parsed.root_cause ?? "",
      fix: parsed.fix ?? "",
    };
  } catch {
    throw new Error(`Unexpected AI response: ${raw.slice(0, 120)}`);
  }
}

async function callAnthropic(
  config: { baseUrl: string; model: string; key: string },
  userMsg: string
): Promise<string> {
  const res = await fetch(`${config.baseUrl}/v1/messages`, {
    method: "POST",
    headers: {
      "Content-Type": "application/json",
      "x-api-key": config.key,
      "anthropic-version": "2023-06-01",
    },
    body: JSON.stringify({
      model: config.model,
      max_tokens: 512,
      system: SYSTEM_PROMPT,
      messages: [{ role: "user", content: userMsg }],
    }),
  });
  if (!res.ok) throw new Error(`Anthropic ${res.status}: ${await res.text()}`);
  const data = (await res.json()) as { content: { text: string }[] };
  return data.content[0].text;
}

async function callOpenAICompat(
  config: { baseUrl: string; model: string; key: string },
  userMsg: string
): Promise<string> {
  const headers: Record<string, string> = { "Content-Type": "application/json" };
  if (config.key) headers["Authorization"] = `Bearer ${config.key}`;

  const res = await fetch(`${config.baseUrl}/chat/completions`, {
    method: "POST",
    headers,
    body: JSON.stringify({
      model: config.model,
      max_tokens: 512,
      messages: [
        { role: "system", content: SYSTEM_PROMPT },
        { role: "user", content: userMsg },
      ],
    }),
  });
  if (!res.ok) throw new Error(`AI ${res.status}: ${await res.text()}`);
  const data = (await res.json()) as {
    choices: { message: { content: string } }[];
  };
  return data.choices[0].message.content;
}