47d9152bda
- src/lib/actions.ts: canonical ACTIONS/ACTION_LABELS/WRITING_STYLES; context-menu styles derived (WRITING_STYLES minus Default). Replaces the three duplicated style arrays in popup, content, and background. - src/lib/theme.ts: canonical palette. Existing hex literals in the entrypoints are swapped wholesale when light/dark theming lands, so the color plumbing is only rewritten once. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
525 lines
21 KiB
TypeScript
525 lines
21 KiB
TypeScript
import { defineBackground } from 'wxt/utils/define-background';
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import nacl from 'tweetnacl';
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import type { AnalyzePayload, LexAIConfig, LexAIResponse } from '@lib/types';
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import { ACTIONS, ACTION_LABELS, CONTEXT_MENU_STYLES } from '@lib/actions';
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// ─── Fetch with timeout ───────────────────────────────────────────────────────
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async function fetchWithTimeout(url: string, options: RequestInit, timeoutMs = 30000): Promise<Response> {
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const controller = new AbortController();
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const id = setTimeout(() => controller.abort(), timeoutMs);
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try {
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return await fetch(url, { ...options, signal: controller.signal });
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} finally {
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clearTimeout(id);
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}
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}
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// ─── System prompts ───────────────────────────────────────────────────────────
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function getSystemPrompt(action: string, style?: string): string {
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// Normalize 'fix' (used by context menu) to 'grammar'
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const normalizedAction = action === 'fix' ? 'grammar' : action;
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const prompts: Record<string, string> = {
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grammar:
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'You are a professional grammar editor. Fix all grammar, spelling, and punctuation errors in the provided text. ' +
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'Preserve the original meaning and tone as closely as possible. ' +
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'Return ONLY the corrected text — no explanations, no preamble.',
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rephrase:
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'You are a skilled writing assistant. Rephrase the provided text to make it clearer, more engaging, and more professional. ' +
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'Keep the same meaning and approximate length. ' +
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'Return ONLY the rephrased text — no explanations.',
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shorten:
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'You are a concise editor. Shorten the provided text by at least 30% while preserving the core message. ' +
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'Remove filler words, redundant phrases, and unnecessary detail. ' +
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'Return ONLY the shortened text.',
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expand:
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'You are an experienced writer. Expand the provided text with more detail, context, and supporting points. ' +
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'Make it richer and more informative while staying on topic. ' +
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'Return ONLY the expanded text.',
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explain:
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'You are a helpful teacher. Explain the following text in simple, easy-to-understand language. ' +
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'Break down complex terms, jargon, or concepts so anyone can understand. ' +
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'Be concise but clear. Return only the explanation, no extra commentary.',
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};
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const base = prompts[normalizedAction] ?? prompts.grammar;
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const styleModifier = style && style !== 'Default'
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? ` Write in a ${style.toLowerCase()} style.`
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: '';
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return base + styleModifier;
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}
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// ─── Encryption helpers ───────────────────────────────────────────────────────
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async function decryptApiKey(encKeyB64: string, apiKeyEncB64: string): Promise<string | null> {
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const key = Uint8Array.from(atob(encKeyB64), c => c.charCodeAt(0));
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const combined = Uint8Array.from(atob(apiKeyEncB64), c => c.charCodeAt(0));
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const nonce = combined.slice(0, 24);
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const cipher = combined.slice(24);
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const decrypted = nacl.secretbox.open(cipher, nonce, key);
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if (!decrypted) return null;
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return new TextDecoder().decode(decrypted);
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}
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// Resolve the usable API key from stored config: prefer the encrypted path,
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// fall back to plaintext for backward compat. Returns null if none is set.
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async function resolveApiKey(config: LexAIConfig): Promise<string | null> {
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let apiKey = config.apiKey;
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if (config.apiKeyEnc && config.encKey) {
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const decrypted = await decryptApiKey(config.encKey, config.apiKeyEnc);
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if (decrypted) apiKey = decrypted;
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}
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if (!apiKey || apiKey.trim() === '') return null;
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return apiKey.trim();
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}
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// ─── Provider implementations ─────────────────────────────────────────────────
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async function callOpenAI(payload: AnalyzePayload, config: LexAIConfig): Promise<LexAIResponse> {
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const model = config.model || 'gpt-4o-mini';
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let res: Response;
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try {
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res = await fetchWithTimeout('https://api.openai.com/v1/chat/completions', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${config.apiKey}`,
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},
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body: JSON.stringify({
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model,
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messages: [
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{ role: 'system', content: getSystemPrompt(payload.action, payload.style) },
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{ role: 'user', content: payload.text },
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],
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max_tokens: 1024,
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temperature: 0.7,
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}),
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});
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} catch (err) {
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return { error: `Network error reaching OpenAI: ${String(err)}` };
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}
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const data = await res.json();
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if (!res.ok) {
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const msg = data?.error?.message ?? `HTTP ${res.status}`;
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return { error: `OpenAI error: ${msg}` };
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}
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const result = data?.choices?.[0]?.message?.content as string | undefined;
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if (!result) return { error: 'OpenAI returned an empty response.' };
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return { result: result.trim() };
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}
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async function callAnthropic(payload: AnalyzePayload, config: LexAIConfig): Promise<LexAIResponse> {
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const model = config.model || 'claude-3-5-haiku-20241022';
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let res: Response;
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try {
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res = await fetchWithTimeout('https://api.anthropic.com/v1/messages', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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'x-api-key': config.apiKey!,
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'anthropic-version': '2023-06-01',
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},
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body: JSON.stringify({
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model,
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max_tokens: 1024,
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system: getSystemPrompt(payload.action, payload.style),
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messages: [{ role: 'user', content: payload.text }],
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}),
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});
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} catch (err) {
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return { error: `Network error reaching Anthropic: ${String(err)}` };
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}
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const data = await res.json();
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if (!res.ok) {
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const msg = data?.error?.message ?? `HTTP ${res.status}`;
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return { error: `Anthropic error: ${msg}` };
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}
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const result = data?.content?.[0]?.text as string | undefined;
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if (!result) return { error: 'Anthropic returned an empty response.' };
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return { result: result.trim() };
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}
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async function callGroq(payload: AnalyzePayload, config: LexAIConfig): Promise<LexAIResponse> {
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const model = config.model || 'llama-3.3-70b-versatile';
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let res: Response;
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try {
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res = await fetchWithTimeout('https://api.groq.com/openai/v1/chat/completions', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${config.apiKey}`,
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},
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body: JSON.stringify({
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model,
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messages: [
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{ role: 'system', content: getSystemPrompt(payload.action, payload.style) },
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{ role: 'user', content: payload.text },
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],
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max_tokens: 1024,
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temperature: 0.7,
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}),
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});
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} catch (err) {
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return { error: `Network error reaching Groq: ${String(err)}` };
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}
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const data = await res.json();
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if (!res.ok) {
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const msg = data?.error?.message ?? `HTTP ${res.status}`;
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return { error: `Groq error: ${msg}` };
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}
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const result = data?.choices?.[0]?.message?.content as string | undefined;
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if (!result) return { error: 'Groq returned an empty response.' };
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return { result: result.trim() };
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}
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async function callOpenRouter(payload: AnalyzePayload, config: LexAIConfig): Promise<LexAIResponse> {
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const model = config.model || 'openai/gpt-4o-mini';
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let res: Response;
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try {
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res = await fetchWithTimeout('https://openrouter.ai/api/v1/chat/completions', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${config.apiKey}`,
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'HTTP-Referer': 'https://lexai.dev',
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'X-Title': 'LexAI',
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},
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body: JSON.stringify({
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model,
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messages: [
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{ role: 'system', content: getSystemPrompt(payload.action, payload.style) },
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{ role: 'user', content: payload.text },
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],
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max_tokens: 1024,
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}),
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});
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} catch (err) {
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return { error: `Network error reaching OpenRouter: ${String(err)}` };
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}
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const data = await res.json();
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if (!res.ok) {
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const msg = data?.error?.message ?? `HTTP ${res.status}`;
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return { error: `OpenRouter error: ${msg}` };
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}
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const result = data?.choices?.[0]?.message?.content as string | undefined;
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if (!result) return { error: 'OpenRouter returned an empty response.' };
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return { result: result.trim() };
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}
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// ─── Generic provider call (used by copy-as and future features) ──────────────
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async function callProvider(config: LexAIConfig, text: string, systemPrompt: string): Promise<LexAIResponse> {
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const payload: AnalyzePayload = { text, action: '__custom__' };
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const provider = config.provider || 'openai';
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switch (provider) {
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case 'openai': return callOpenAIWithPrompt(payload, config, systemPrompt);
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case 'anthropic': return callAnthropicWithPrompt(payload, config, systemPrompt);
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case 'groq': return callGroqWithPrompt(payload, config, systemPrompt);
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case 'openrouter': return callOpenRouterWithPrompt(payload, config, systemPrompt);
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default: return { error: `Unknown provider: "${provider}". Please check LexAI settings.` };
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}
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}
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async function callOpenAIWithPrompt(payload: AnalyzePayload, config: LexAIConfig, systemPrompt: string): Promise<LexAIResponse> {
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const model = config.model || 'gpt-4o-mini';
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let res: Response;
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try {
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res = await fetchWithTimeout('https://api.openai.com/v1/chat/completions', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${config.apiKey}` },
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body: JSON.stringify({
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model,
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: payload.text },
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],
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max_tokens: 1024,
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temperature: 0.7,
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}),
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});
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} catch (err) {
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return { error: `Network error reaching OpenAI: ${String(err)}` };
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}
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const data = await res.json();
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if (!res.ok) return { error: `OpenAI error: ${data?.error?.message ?? `HTTP ${res.status}`}` };
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const result = data?.choices?.[0]?.message?.content as string | undefined;
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if (!result) return { error: 'OpenAI returned an empty response.' };
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return { result: result.trim() };
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}
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async function callAnthropicWithPrompt(payload: AnalyzePayload, config: LexAIConfig, systemPrompt: string): Promise<LexAIResponse> {
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const model = config.model || 'claude-3-5-haiku-20241022';
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let res: Response;
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try {
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res = await fetchWithTimeout('https://api.anthropic.com/v1/messages', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json', 'x-api-key': config.apiKey!, 'anthropic-version': '2023-06-01' },
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body: JSON.stringify({
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model,
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max_tokens: 1024,
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system: systemPrompt,
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messages: [{ role: 'user', content: payload.text }],
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}),
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});
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} catch (err) {
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return { error: `Network error reaching Anthropic: ${String(err)}` };
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}
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const data = await res.json();
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if (!res.ok) return { error: `Anthropic error: ${data?.error?.message ?? `HTTP ${res.status}`}` };
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const result = data?.content?.[0]?.text as string | undefined;
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if (!result) return { error: 'Anthropic returned an empty response.' };
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return { result: result.trim() };
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}
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async function callGroqWithPrompt(payload: AnalyzePayload, config: LexAIConfig, systemPrompt: string): Promise<LexAIResponse> {
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const model = config.model || 'llama-3.3-70b-versatile';
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let res: Response;
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try {
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res = await fetchWithTimeout('https://api.groq.com/openai/v1/chat/completions', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json', Authorization: `Bearer ${config.apiKey}` },
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body: JSON.stringify({
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model,
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: payload.text },
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],
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max_tokens: 1024,
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temperature: 0.7,
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}),
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});
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} catch (err) {
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return { error: `Network error reaching Groq: ${String(err)}` };
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}
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const data = await res.json();
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if (!res.ok) return { error: `Groq error: ${data?.error?.message ?? `HTTP ${res.status}`}` };
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const result = data?.choices?.[0]?.message?.content as string | undefined;
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if (!result) return { error: 'Groq returned an empty response.' };
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return { result: result.trim() };
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}
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async function callOpenRouterWithPrompt(payload: AnalyzePayload, config: LexAIConfig, systemPrompt: string): Promise<LexAIResponse> {
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const model = config.model || 'openai/gpt-4o-mini';
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let res: Response;
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try {
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res = await fetchWithTimeout('https://openrouter.ai/api/v1/chat/completions', {
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method: 'POST',
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headers: {
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'Content-Type': 'application/json',
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Authorization: `Bearer ${config.apiKey}`,
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'HTTP-Referer': 'https://lexai.dev',
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'X-Title': 'LexAI',
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},
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body: JSON.stringify({
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model,
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messages: [
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{ role: 'system', content: systemPrompt },
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{ role: 'user', content: payload.text },
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],
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max_tokens: 1024,
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}),
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});
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} catch (err) {
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return { error: `Network error reaching OpenRouter: ${String(err)}` };
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}
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const data = await res.json();
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if (!res.ok) return { error: `OpenRouter error: ${data?.error?.message ?? `HTTP ${res.status}`}` };
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const result = data?.choices?.[0]?.message?.content as string | undefined;
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if (!result) return { error: 'OpenRouter returned an empty response.' };
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return { result: result.trim() };
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}
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// ─── Live model listing ───────────────────────────────────────────────────────
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const MODEL_LIST_ENDPOINTS: Record<string, string> = {
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openai: 'https://api.openai.com/v1/models',
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groq: 'https://api.groq.com/openai/v1/models',
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openrouter: 'https://openrouter.ai/api/v1/models',
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anthropic: 'https://api.anthropic.com/v1/models',
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};
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// Drop non-chat models (embeddings, audio, image, etc.) so the picker stays useful.
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const NON_CHAT_MODEL_RE = /embedding|whisper|tts|dall-e|audio|realtime|moderation|image|guard|transcribe|speech|rerank/i;
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async function listModels(provider: string, apiKey?: string): Promise<{ models?: string[]; error?: string }> {
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const url = MODEL_LIST_ENDPOINTS[provider];
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if (!url) return { error: `Unknown provider: "${provider}". Please check LexAI settings.` };
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const headers: Record<string, string> = { 'Content-Type': 'application/json' };
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if (provider === 'anthropic') {
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if (!apiKey) return { error: 'Anthropic requires an API key to list models.' };
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headers['x-api-key'] = apiKey;
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headers['anthropic-version'] = '2023-06-01';
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// Allow the extension origin to call Anthropic directly (avoids a CORS 403).
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headers['anthropic-dangerous-direct-browser-access'] = 'true';
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} else if (apiKey) {
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// OpenRouter's list is public, so the key is optional there; OpenAI/Groq require it.
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headers['Authorization'] = `Bearer ${apiKey}`;
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}
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let res: Response;
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try {
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res = await fetchWithTimeout(url, { method: 'GET', headers }, 15000);
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} catch (err) {
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return { error: `Network error reaching ${provider}: ${String(err)}` };
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}
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const data = await res.json().catch(() => null);
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if (!res.ok) {
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const msg = data?.error?.message ?? data?.error ?? `HTTP ${res.status}`;
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return { error: `${provider} error: ${msg}` };
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}
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const raw = Array.isArray(data?.data) ? data.data : [];
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const ids = raw
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.map((m: any) => (typeof m === 'string' ? m : m?.id))
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.filter((id: unknown): id is string => typeof id === 'string' && id.length > 0)
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.filter((id: string) => !NON_CHAT_MODEL_RE.test(id))
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.sort((a: string, b: string) => a.localeCompare(b));
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if (ids.length === 0) return { error: `No models returned by ${provider}.` };
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return { models: ids };
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}
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// ─── Main handler ─────────────────────────────────────────────────────────────
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async function handleAnalyzeText(payload: AnalyzePayload): Promise<LexAIResponse> {
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const stored = await chrome.storage.local.get(['provider', 'apiKey', 'apiKeyEnc', 'encKey', 'model']);
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const config = stored as LexAIConfig;
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const apiKey = await resolveApiKey(config);
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if (!apiKey) {
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return { error: 'No API key configured. Please open LexAI settings (click the extension icon).' };
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}
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const resolvedConfig: LexAIConfig = { ...config, apiKey };
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const provider = config.provider || 'openai';
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switch (provider) {
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case 'openai':
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return callOpenAI(payload, resolvedConfig);
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case 'anthropic':
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return callAnthropic(payload, resolvedConfig);
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case 'groq':
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return callGroq(payload, resolvedConfig);
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case 'openrouter':
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return callOpenRouter(payload, resolvedConfig);
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default:
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return { error: `Unknown provider: "${provider}". Please check LexAI settings.` };
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}
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}
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// ─── Background entry ─────────────────────────────────────────────────────────
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export default defineBackground(() => {
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console.log('LexAI background service worker started');
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// ─── Context menus ───────────────────────────────────────────────────────
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chrome.runtime.onInstalled.addListener(() => {
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chrome.contextMenus.removeAll(() => {
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ACTIONS.forEach(action => {
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chrome.contextMenus.create({
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id: `lexai-${action}`,
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title: `⚡ LexAI: ${ACTION_LABELS[action]}`,
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contexts: ['selection'],
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});
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CONTEXT_MENU_STYLES.forEach(style => {
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chrome.contextMenus.create({
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id: `lexai-${action}-${style.toLowerCase()}`,
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parentId: `lexai-${action}`,
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title: style,
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contexts: ['selection'],
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});
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});
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});
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});
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});
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chrome.contextMenus.onClicked.addListener((info, tab) => {
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if (!info.selectionText || !tab?.id) return;
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|
// Parse action and style from menuItemId e.g. "lexai-fix-formal"
|
|
const parts = info.menuItemId.toString().replace('lexai-', '').split('-');
|
|
const action = parts[0];
|
|
const style = parts[1] ? parts[1].charAt(0).toUpperCase() + parts[1].slice(1) : 'Default';
|
|
chrome.tabs.sendMessage(tab.id, {
|
|
type: 'lexai-context-menu',
|
|
action,
|
|
text: info.selectionText,
|
|
style,
|
|
});
|
|
});
|
|
|
|
// ─── Message handler ─────────────────────────────────────────────────────
|
|
chrome.runtime.onMessage.addListener((message, _sender, sendResponse) => {
|
|
if (message.type === 'ANALYZE_TEXT') {
|
|
// Support both { payload: { text, action, style } } (content.ts) and
|
|
// { text, action, style } (popup) formats
|
|
const payload: AnalyzePayload = message.payload ?? {
|
|
text: message.text as string,
|
|
action: message.action as string,
|
|
style: message.style as string | undefined,
|
|
};
|
|
handleAnalyzeText(payload)
|
|
.then(sendResponse)
|
|
.catch((err) => sendResponse({ error: String(err) }));
|
|
return true; // Keep channel open for async response
|
|
}
|
|
|
|
if (message.type === 'COPY_AS') {
|
|
const { text, format } = message as { text: string; format: string };
|
|
chrome.storage.local.get(['provider', 'apiKey', 'apiKeyEnc', 'encKey', 'model'])
|
|
.then(async (stored) => {
|
|
const config = stored as LexAIConfig;
|
|
const apiKey = await resolveApiKey(config);
|
|
if (!apiKey) {
|
|
sendResponse({ error: 'No API key configured. Please open LexAI settings.' });
|
|
return;
|
|
}
|
|
const resolvedConfig: LexAIConfig = { ...config, apiKey };
|
|
const systemPrompt = `Reformat the following text as ${format}. Return only the reformatted result, no explanation.`;
|
|
return callProvider(resolvedConfig, text, systemPrompt);
|
|
})
|
|
.then((res) => { if (res) sendResponse(res); })
|
|
.catch((err) => sendResponse({ error: String(err) }));
|
|
return true;
|
|
}
|
|
|
|
if (message.type === 'LIST_MODELS') {
|
|
const provider = (message.provider as string) || 'openai';
|
|
// Prefer an inline key (freshly typed, not yet saved); else use the stored key.
|
|
const inlineKey = (message.apiKey as string | undefined)?.trim() || undefined;
|
|
(async () => {
|
|
let apiKey = inlineKey;
|
|
if (!apiKey) {
|
|
const stored = await chrome.storage.local.get(['apiKey', 'apiKeyEnc', 'encKey']);
|
|
apiKey = (await resolveApiKey(stored as LexAIConfig)) ?? undefined;
|
|
}
|
|
if (!apiKey && provider !== 'openrouter') {
|
|
return { error: 'No API key found. Enter your API key above, then click Load models.' };
|
|
}
|
|
return listModels(provider, apiKey);
|
|
})()
|
|
.then(sendResponse)
|
|
.catch((err) => sendResponse({ error: String(err) }));
|
|
return true;
|
|
}
|
|
});
|
|
});
|