v2.0.0-beta: write tools, pending-changes queue, inference loop, API routes

Phase 2 of v2.0. BooCoder is now a functional write-capable chatbot.

Write-path guard: resolveWritePath() uses resolve() (no realpath — files may
not exist for creates) + prefix-check + secret-file deny list (.env, *.pem,
id_rsa*, etc.). 23 unit tests cover traversal attacks.

Pending-changes service: queueEdit/Create/Delete → applyOne/All →
rejectOne/All → rewindOne. Edit diffs stored as JSON {old, new}. All writes
queue before touching disk; apply re-validates the path guard.

5 write tools: edit_file, create_file, delete_file, apply_pending, rewind.
Registered alongside 25 read-only tools from BooChat (30 total, alpha-sorted).
Write tools use a module-level inference context for sql+sessionId injection.

Inference loop via workspace dependency: apps/coder imports
createInferenceRunner, createBroker, ALL_TOOLS from @boocode/server (dist/).
apps/server gains declaration: true + exports map with typed subpath entries.
No code duplication — one inference engine shared by both apps.

API routes: POST /api/sessions/:id/messages (user msg → inference), POST stop,
GET/POST pending-changes CRUD (5 endpoints), WebSocket session streaming.

Dockerfile updated to build apps/server first (coder depends on its .d.ts).
Health endpoint reports tool count: {"ok":true,"db":true,"tools":30}.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

apps/coder/src/routes/messages.ts

@@ -0,0 +1,126 @@
+import type { FastifyInstance } from 'fastify';
+import { z } from 'zod';
+import type { Sql } from '../db.js';
+import type { Broker } from '@boocode/server/broker';
+import type { WsFrame } from '@boocode/server/ws-frames';
+
+const SendBody = z.object({
+  content: z.string().min(1).max(64_000),
+  chat_id: z.string().uuid(),
+});
+
+interface InferenceApi {
+  enqueue: (sessionId: string, chatId: string, assistantId: string, user: string) => void;
+  cancel: (sessionId: string, chatId: string) => Promise<boolean>;
+  hasActive: (chatId: string) => boolean;
+}
+
+export function registerMessageRoutes(
+  app: FastifyInstance,
+  sql: Sql,
+  broker: Broker,
+  inference: InferenceApi,
+): void {
+  // POST /api/sessions/:sessionId/messages — send a user message + kick off inference
+  app.post<{ Params: { sessionId: string } }>(
+    '/api/sessions/:sessionId/messages',
+    async (req, reply) => {
+      const parsed = SendBody.safeParse(req.body);
+      if (!parsed.success) {
+        reply.code(400);
+        return { error: 'invalid body', details: parsed.error.flatten() };
+      }
+
+      const sessionId = req.params.sessionId;
+      const { content, chat_id: chatId } = parsed.data;
+
+      // Validate session exists
+      const sessionRows = await sql<{ id: string }[]>`
+        SELECT id FROM sessions WHERE id = ${sessionId}
+      `;
+      if (sessionRows.length === 0) {
+        reply.code(404);
+        return { error: 'session not found' };
+      }
+
+      // Validate chat belongs to session and is open
+      const chatRows = await sql<{ id: string; session_id: string }[]>`
+        SELECT id, session_id FROM chats WHERE id = ${chatId} AND session_id = ${sessionId} AND status = 'open'
+      `;
+      if (chatRows.length === 0) {
+        reply.code(404);
+        return { error: 'chat not found or not open in this session' };
+      }
+
+      // Reject if inference is already running on this chat
+      if (inference.hasActive(chatId)) {
+        reply.code(409);
+        return { error: 'inference already running on this chat' };
+      }
+
+      // Create user message + streaming assistant row in a transaction
+      const result = await sql.begin(async (tx) => {
+        const [userMsg] = await tx<{ id: string }[]>`
+          INSERT INTO messages (session_id, chat_id, role, content, status, created_at)
+          VALUES (${sessionId}, ${chatId}, 'user', ${content}, 'complete', clock_timestamp())
+          RETURNING id
+        `;
+        const [assistantMsg] = await tx<{ id: string }[]>`
+          INSERT INTO messages (session_id, chat_id, role, content, status, created_at)
+          VALUES (${sessionId}, ${chatId}, 'assistant', '', 'streaming', clock_timestamp())
+          RETURNING id
+        `;
+        await tx`UPDATE sessions SET updated_at = clock_timestamp() WHERE id = ${sessionId}`;
+        await tx`UPDATE chats SET updated_at = clock_timestamp() WHERE id = ${chatId}`;
+        return { user_message_id: userMsg!.id, assistant_message_id: assistantMsg!.id };
+      });
+
+      // Publish user message frames so WS subscribers see it immediately
+      broker.publishFrame(sessionId, {
+        type: 'message_started',
+        message_id: result.user_message_id,
+        chat_id: chatId,
+        role: 'user',
+      } as unknown as WsFrame);
+      broker.publishFrame(sessionId, {
+        type: 'delta',
+        message_id: result.user_message_id,
+        chat_id: chatId,
+        content,
+      } as unknown as WsFrame);
+      broker.publishFrame(sessionId, {
+        type: 'message_complete',
+        message_id: result.user_message_id,
+        chat_id: chatId,
+      } as unknown as WsFrame);
+
+      // Enqueue inference — the runner will stream assistant deltas via broker
+      inference.enqueue(sessionId, chatId, result.assistant_message_id, 'default');
+
+      reply.code(202);
+      return result;
+    },
+  );
+
+  // POST /api/sessions/:sessionId/stop — cancel active inference
+  app.post<{ Params: { sessionId: string } }>(
+    '/api/sessions/:sessionId/stop',
+    async (req, reply) => {
+      const sessionId = req.params.sessionId;
+
+      // Find active chats in this session
+      const chats = await sql<{ id: string }[]>`
+        SELECT id FROM chats WHERE session_id = ${sessionId} AND status = 'open'
+      `;
+      let cancelled = false;
+      for (const chat of chats) {
+        if (inference.hasActive(chat.id)) {
+          cancelled = await inference.cancel(sessionId, chat.id);
+          break;
+        }
+      }
+
+      return { cancelled };
+    },
+  );
+}