Files
boocode/apps/server/src/index.ts
indifferentketchup 92bd3b1cdf feat(agents): Tier 2 — AGENTS.md + per-session picker
Six builtin defaults (Code Reviewer, Debugger, Refactorer, Architect,
Security Auditor, Prompt Builder) with no model field so session.model
wins. Project root AGENTS.md parsed on demand with mtime cache; when
present, only its agents are shown. sessions.agent_id resolves per turn
into effective system prompt, temperature, and a tool whitelist applied
in inference. AgentPicker mounts in the ChatInput toolbar; SettingsDrawer
agent surface deferred to Batch 7.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 20:06:51 +00:00

161 lines
5.1 KiB
TypeScript

import Fastify from 'fastify';
import fastifyStatic from '@fastify/static';
import fastifyWebsocket from '@fastify/websocket';
import { existsSync } from 'node:fs';
import { resolve } from 'node:path';
import { loadConfig } from './config.js';
import { getSql, applySchema, pingDb, closeDb } from './db.js';
import { registerProjectRoutes } from './routes/projects.js';
import { registerSessionRoutes } from './routes/sessions.js';
import { registerSettingsRoutes } from './routes/settings.js';
import { registerMessageRoutes } from './routes/messages.js';
import { registerChatRoutes } from './routes/chats.js';
import { registerSidebarRoutes } from './routes/sidebar.js';
import { registerWebSocket } from './routes/ws.js';
import { registerModelRoutes } from './routes/models.js';
import { registerAgentRoutes } from './routes/agents.js';
import { createInferenceRunner } from './services/inference.js';
import { createBroker } from './services/broker.js';
async function main() {
const config = loadConfig();
const app = Fastify({
logger: { level: config.LOG_LEVEL },
});
// Allow empty JSON bodies on POSTs that don't take a body (archive, unarchive, stop, etc.).
// Default Fastify parser throws FST_ERR_CTP_EMPTY_JSON_BODY on empty string.
app.removeContentTypeParser(['application/json']);
app.addContentTypeParser('application/json', { parseAs: 'string' }, (_req, body, done) => {
const str = (body as string) ?? '';
if (str.trim().length === 0) {
done(null, {});
return;
}
try {
done(null, JSON.parse(str));
} catch (err) {
done(err as Error, undefined);
}
});
const sql = getSql(config);
await applySchema(sql);
app.log.info('database schema applied');
await app.register(fastifyWebsocket);
app.get('/api/health', async () => {
const dbOk = await pingDb(sql);
return { status: dbOk ? 'ok' : 'degraded', db: dbOk };
});
const broker = createBroker();
registerProjectRoutes(app, sql, config, broker);
registerSessionRoutes(app, sql, config, broker);
registerSettingsRoutes(app, sql);
registerModelRoutes(app, config);
registerAgentRoutes(app, sql);
registerSidebarRoutes(app, sql);
registerChatRoutes(app, sql, broker);
const inference = createInferenceRunner(
{
sql,
config,
log: app.log,
publish: (sessionId, frame) => {
broker.publish(sessionId, frame as unknown as Record<string, unknown> & { type: string });
},
},
(user, frame) => {
broker.publishUser(user, frame as unknown as Record<string, unknown> & { type: string });
}
);
registerMessageRoutes(app, sql, {
enqueueInference: (sessionId, chatId, assistantId, user) => {
inference.enqueue(sessionId, chatId, assistantId, user);
},
enqueueCompact: (sessionId, chatId, compactId, user) => {
inference.enqueueCompact(sessionId, chatId, compactId, user);
},
cancelInference: async (sessionId, chatId) => {
return inference.cancel(sessionId, chatId);
},
hasActiveInference: (chatId) => inference.hasActive(chatId),
publishUserMessage: (sessionId, chatId, userMessageId, content) => {
broker.publish(sessionId, {
type: 'message_started',
message_id: userMessageId,
chat_id: chatId,
role: 'user',
});
broker.publish(sessionId, {
type: 'delta',
message_id: userMessageId,
chat_id: chatId,
content,
});
broker.publish(sessionId, {
type: 'message_complete',
message_id: userMessageId,
chat_id: chatId,
});
},
publishMessagesDeleted: (sessionId, chatId, messageIds) => {
broker.publish(sessionId, {
type: 'messages_deleted',
message_ids: messageIds,
chat_id: chatId,
});
},
});
registerWebSocket(app, sql, broker);
const webDist = process.env.WEB_DIST_PATH ?? resolve(process.cwd(), '../web/dist');
if (existsSync(webDist)) {
await app.register(fastifyStatic, {
root: webDist,
prefix: '/',
wildcard: false,
});
app.setNotFoundHandler((req, reply) => {
if (req.url.startsWith('/api')) {
reply.code(404).send({ error: 'not found' });
return;
}
reply.sendFile('index.html');
});
app.log.info(`serving static frontend from ${webDist}`);
}
const shutdown = async (signal: string) => {
app.log.info(`received ${signal}, shutting down`);
try {
await app.close();
await closeDb();
process.exit(0);
} catch (err) {
app.log.error(err);
process.exit(1);
}
};
process.on('SIGINT', () => void shutdown('SIGINT'));
process.on('SIGTERM', () => void shutdown('SIGTERM'));
// Bound to 0.0.0.0 intentionally. Public access goes through Caddy → Authelia.
// Direct Tailscale access (100.114.205.53:9500) is unauthenticated by design;
// the threat model treats Tailnet membership as the trust boundary.
await app.listen({ port: config.PORT, host: config.HOST });
app.log.info(`boocode server listening on http://${config.HOST}:${config.PORT}`);
}
main().catch((err) => {
console.error('Fatal startup error:', err);
process.exit(1);
});