লেট্টা দিয়ে স্টেটফুল এজেন্টিক ইঞ্জিনিয়ারিং কোপাইলট: কোর মেমরি, শেয়ার্ড স্টেট, সিম্যান্টিক রিট্রিভাল, কাস্টম টুলস, স্ট্রিমিং এবং পোর্টেবল এজেন্ট ওয়ার্কফ্লো

এটি ফিডে পাওয়া অংশবিশেষ। এটি সংক্ষিপ্ত বা প্রকাশকের মূল ভাষায় হতে পারে।

In this tutorial, we build a stateful engineering copilot with Letta that demonstrates how agentic memory extends beyond conventional prompt-based conversations. We begin by creating inspectable core memory blocks that the agent can autonomously update, then expose those blocks for programmatic state synchronization and shared access across multiple agents. We further extend the architecture with archival vector memory for semantic retrieval, a custom server-side tool for deterministic risk estimation, streaming for observing agent execution, server-side message history for persistent conversations, and .af export for portability. Together, these components demonstrate a practical memory architecture in which persistent state, retrieval, tools, multi-agent collaboration, and execution traces work as an integrated agentic system. Copy CodeCopiedUse a different Browserimport subprocess, sys subprocess.run([sys.executable, "-m", "pip", "install", "-q", "-U", "letta-client"], check=True) import os, json, time, textwrap from getpass import getpass from letta_client import Letta def flex(*attempts, label=""): err = None for fn in attempts: try: return fn() except Exception as e: err = e raise RuntimeError(f"All call variants failed for {label or 'call'}: {err}") from err API_KEY = os.environ.get("LETTA_API_KEY") or getpass("Letta API key (platform.letta.com/api-keys): ") BASE_URL = os.environ.get("LETTA_BASE_URL", "").strip() client = flex( lambda: Letta(base_url=BASE_URL, api_key=API_KEY) if BASE_URL else Letta(api_key=API_KEY), lambda: Letta(base_url=BASE_URL, token=API_KEY) if BASE_URL else Letta(token=API_KEY), label="client init", ) def hr(title): print("\n" + "=" * 92 + f"\n {title}\n" + "=" * 92) def as_text(content): if isinstance(content, str): return content if isinstance(content, list): return "".join(getattr(p, "text", "") or "" for p in content) return str(content or "") def