feat(cli): implement send command for one-shot agent messages

src/cli/send.ts

@@ -1,12 +1,82 @@
 import type { Command } from 'commander';
+import type { ModelClient } from '../models/types.js';
+import { NativeAgent } from '../backends/index.js';
+import { ToolRegistry, ToolExecutor, allBuiltinTools } from '../tools/index.js';
+import { HookEngine } from '../hooks/index.js';
+import { loadConfigSafe, getConfigPath } from './shared.js';
+import { existsSync, readFileSync } from 'fs';
+import { resolve } from 'path';
+
+/** Create a lightweight agent for one-shot message processing. */
+export function createSendAgent(deps: {
+  modelClient: ModelClient;
+  systemPrompt: string;
+  enableTools?: boolean;
+}): NativeAgent {
+  const config: ConstructorParameters<typeof NativeAgent>[0] = {
+    modelClient: deps.modelClient,
+    systemPrompt: deps.systemPrompt,
+  };
+
+  if (deps.enableTools !== false) {
+    const hookEngine = new HookEngine({ confirm: [], log: [], silent: [] });
+    const toolRegistry = new ToolRegistry();
+    for (const tool of allBuiltinTools) {
+      toolRegistry.register(tool);
+    }
+    const toolExecutor = new ToolExecutor(toolRegistry, hookEngine);
+    config.toolRegistry = toolRegistry;
+    config.toolExecutor = toolExecutor;
+  }
+
+  return new NativeAgent(config);
+}
+
+function loadSystemPrompt(): string {
+  const paths = [
+    resolve(process.cwd(), 'SOUL.md'),
+    resolve(import.meta.dirname, '../../SOUL.md'),
+  ];
+  for (const p of paths) {
+    if (existsSync(p)) return readFileSync(p, 'utf-8');
+  }
+  return 'You are Flynn, a helpful personal AI assistant.';
+}
 
 export function registerSendCommand(program: Command): void {
   program
     .command('send <message>')
     .description('Send a one-shot message and print the response')
     .option('-c, --config <path>', 'Config file path')
-    .action(async (_message: string, _opts: { config?: string }) => {
-      console.error('Not yet implemented');
-      process.exit(1);
+    .option('--no-tools', 'Disable tool use')
+    .action(async (message: string, opts: { config?: string; tools?: boolean }) => {
+      const configPath = opts.config ?? getConfigPath();
+      const { config, error } = loadConfigSafe(configPath);
+      if (!config) {
+        console.error(error);
+        process.exit(1);
+      }
+
+      // Dynamic import to avoid loading model code eagerly
+      const { AnthropicClient } = await import('../models/index.js');
+      const modelClient = new AnthropicClient({
+        model: config.models.default.model,
+        apiKey: config.models.default.api_key,
+        authToken: config.models.default.auth_token,
+      });
+
+      const agent = createSendAgent({
+        modelClient,
+        systemPrompt: loadSystemPrompt(),
+        enableTools: opts.tools,
+      });
+
+      try {
+        const response = await agent.process(message);
+        console.log(response);
+      } catch (err) {
+        console.error('Error:', err instanceof Error ? err.message : err);
+        process.exit(1);
+      }
     });
 }