feat: fix #272 add memory feature

examples/memory/.gitignore

@@ -0,0 +1,2 @@
+tmp/
+*.db

examples/memory/file.ts

@@ -0,0 +1,217 @@
+import type { AgentInputItem, Session } from '@openai/agents';
+import { protocol } from '@openai/agents';
+import * as fs from 'node:fs/promises';
+import * as path from 'node:path';
+import { randomUUID } from 'node:crypto';
+
+export type FileSessionOptions = {
+  /**
+   * Directory where session files are stored. Defaults to `./.agents-sessions`.
+   */
+  dir?: string;
+  /**
+   * Optional pre-existing session id to bind to.
+   */
+  sessionId?: string;
+};
+
+/**
+ * A simple filesystem-backed Session implementation that stores history as a JSON array.
+ */
+export class FileSession implements Session {
+  #dir: string;
+  #sessionId?: string;
+
+  constructor(options: FileSessionOptions = {}) {
+    this.#dir = options.dir ?? path.resolve(process.cwd(), '.agents-sessions');
+    this.#sessionId = options.sessionId;
+  }
+
+  /**
+   * Get the current session id, creating one if necessary.
+   */
+  async getSessionId(): Promise<string> {
+    if (!this.#sessionId) {
+      // Compact, URL-safe-ish id without dashes.
+      this.#sessionId = randomUUID().replace(/-/g, '').slice(0, 24);
+    }
+    await this.#ensureDir();
+    // Ensure the file exists.
+    const file = this.#filePath(this.#sessionId);
+    try {
+      await fs.access(file);
+    } catch {
+      await fs.writeFile(file, '[]', 'utf8');
+    }
+    return this.#sessionId;
+  }
+
+  /**
+   * Retrieve items from the conversation history.
+   */
+  async getItems(limit?: number): Promise<AgentInputItem[]> {
+    const sessionId = await this.getSessionId();
+    const items = await this.#readItems(sessionId);
+    if (typeof limit === 'number' && limit >= 0) {
+      return items.slice(-limit);
+    }
+    return items;
+  }
+
+  /**
+   * Append new items to the conversation history.
+   */
+  async addItems(items: AgentInputItem[]): Promise<void> {
+    if (!items.length) return;
+    const sessionId = await this.getSessionId();
+    const current = await this.#readItems(sessionId);
+    const next = current.concat(items);
+    await this.#writeItems(sessionId, next);
+  }
+
+  /**
+   * Remove and return the most recent item, if any.
+   */
+  async popItem(): Promise<AgentInputItem | undefined> {
+    const sessionId = await this.getSessionId();
+    const items = await this.#readItems(sessionId);
+    if (items.length === 0) return undefined;
+    const popped = items.pop();
+    await this.#writeItems(sessionId, items);
+    return popped;
+  }
+
+  /**
+   * Delete all stored items and reset the session state.
+   */
+  async clearSession(): Promise<void> {
+    if (!this.#sessionId) return; // Nothing to clear.
+    const file = this.#filePath(this.#sessionId);
+    try {
+      await fs.unlink(file);
+    } catch {
+      // Ignore if already removed or inaccessible.
+    }
+    this.#sessionId = undefined;
+  }
+
+  // Internal helpers
+  async #ensureDir(): Promise<void> {
+    await fs.mkdir(this.#dir, { recursive: true });
+  }
+
+  #filePath(sessionId: string): string {
+    return path.join(this.#dir, `${sessionId}.json`);
+  }
+
+  async #readItems(sessionId: string): Promise<AgentInputItem[]> {
+    const file = this.#filePath(sessionId);
+    try {
+      const data = await fs.readFile(file, 'utf8');
+      const parsed = JSON.parse(data);
+      if (!Array.isArray(parsed)) return [];
+      // Validate and coerce items to the protocol shape where possible.
+      const result: AgentInputItem[] = [];
+      for (const raw of parsed) {
+        const check = protocol.ModelItem.safeParse(raw);
+        if (check.success) {
+          result.push(check.data as AgentInputItem);
+        }
+        // Silently skip invalid entries.
+      }
+      return result;
+    } catch (err: any) {
+      // On missing file, return empty list.
+      if (err && (err.code === 'ENOENT' || err.code === 'ENOTDIR')) return [];
+      // For other errors, rethrow.
+      throw err;
+    }
+  }
+
+  async #writeItems(sessionId: string, items: AgentInputItem[]): Promise<void> {
+    await this.#ensureDir();
+    const file = this.#filePath(sessionId);
+    // Keep JSON compact but deterministic.
+    await fs.writeFile(file, JSON.stringify(items, null, 2), 'utf8');
+  }
+}
+
+import { Agent, run } from '@openai/agents';
+
+async function main() {
+  const agent = new Agent({
+    name: 'Assistant',
+    instructions: 'You are a helpful assistant. be VERY concise.',
+  });
+
+  const session = new FileSession({ dir: './tmp/' });
+  let result = await run(
+    agent,
+    'What is the largest country in South America?',
+    { session },
+  );
+  console.log(result.finalOutput); // e.g., Brazil
+
+  result = await run(agent, 'What is the capital of that country?', {
+    session,
+  });
+  console.log(result.finalOutput); // e.g., Brasilia
+}
+
+async function mainStream() {
+  const agent = new Agent({
+    name: 'Assistant',
+    instructions: 'You are a helpful assistant. be VERY concise.',
+  });
+
+  const session = new FileSession({ dir: './tmp/' });
+  let result = await run(
+    agent,
+    'What is the largest country in South America?',
+    {
+      stream: true,
+      session,
+    },
+  );
+
+  for await (const event of result) {
+    if (
+      event.type === 'raw_model_stream_event' &&
+      event.data.type === 'output_text_delta'
+    )
+      process.stdout.write(event.data.delta);
+  }
+  console.log();
+
+  result = await run(agent, 'What is the capital of that country?', {
+    stream: true,
+    session,
+  });
+
+  // toTextStream() automatically returns a readable stream of strings intended to be displayed
+  // to the user
+  for await (const event of result.toTextStream()) {
+    process.stdout.write(event);
+  }
+  console.log();
+}
+
+async function promptAndRun() {
+  const readline = await import('node:readline/promises');
+  const rl = readline.createInterface({
+    input: process.stdin,
+    output: process.stdout,
+  });
+  const isStream = await rl.question('Run in stream mode? (y/n): ');
+  rl.close();
+  if (isStream.trim().toLowerCase() === 'y') {
+    await mainStream();
+  } else {
+    await main();
+  }
+}
+
+promptAndRun().catch((error) => {
+  console.error(error);
+  process.exit(1);
+});

examples/memory/oai.ts

@@ -0,0 +1,79 @@
+import { Agent, OpenAIConversationsSession, run } from '@openai/agents';
+
+async function main() {
+  const agent = new Agent({
+    name: 'Assistant',
+    instructions: 'You are a helpful assistant. be VERY concise.',
+  });
+
+  const session = new OpenAIConversationsSession();
+  let result = await run(
+    agent,
+    'What is the largest country in South America?',
+    { session },
+  );
+  console.log(result.finalOutput); // e.g., Brazil
+
+  result = await run(agent, 'What is the capital of that country?', {
+    session,
+  });
+  console.log(result.finalOutput); // e.g., Brasilia
+}
+
+async function mainStream() {
+  const agent = new Agent({
+    name: 'Assistant',
+    instructions: 'You are a helpful assistant. be VERY concise.',
+  });
+
+  const session = new OpenAIConversationsSession();
+  let result = await run(
+    agent,
+    'What is the largest country in South America?',
+    {
+      stream: true,
+      session,
+    },
+  );
+
+  for await (const event of result) {
+    if (
+      event.type === 'raw_model_stream_event' &&
+      event.data.type === 'output_text_delta'
+    )
+      process.stdout.write(event.data.delta);
+  }
+  console.log();
+
+  result = await run(agent, 'What is the capital of that country?', {
+    stream: true,
+    session,
+  });
+
+  // toTextStream() automatically returns a readable stream of strings intended to be displayed
+  // to the user
+  for await (const event of result.toTextStream()) {
+    process.stdout.write(event);
+  }
+  console.log();
+}
+
+async function promptAndRun() {
+  const readline = await import('node:readline/promises');
+  const rl = readline.createInterface({
+    input: process.stdin,
+    output: process.stdout,
+  });
+  const isStream = await rl.question('Run in stream mode? (y/n): ');
+  rl.close();
+  if (isStream.trim().toLowerCase() === 'y') {
+    await mainStream();
+  } else {
+    await main();
+  }
+}
+
+promptAndRun().catch((error) => {
+  console.error(error);
+  process.exit(1);
+});

examples/memory/package.json

@@ -0,0 +1,17 @@
+{
+  "private": true,
+  "name": "memory",
+  "dependencies": {
+    "@openai/agents": "workspace:*",
+    "@prisma/client": "^6.18.0"
+  },
+  "scripts": {
+    "build-check": "tsc --noEmit",
+    "start:oai": "tsx oai.ts",
+    "start:file": "tsx file.ts",
+    "start:prisma": "pnpm prisma db push --schema ./prisma/schema.prisma && pnpm prisma generate --schema ./prisma/schema.prisma && tsx prisma.ts"
+  },
+  "devDependencies": {
+    "prisma": "^6.18.0"
+  }
+}