app_code = r”’ import os, json, uuid import streamlit as st from typing import TypedDict, List, Dict, Any, Optional from pydantic import BaseModel, Field from openai import OpenAI from langgraph.graph …
Tag:
Langgraph
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Generative AI
A Coding Guide for Anemoi-Style Semi-Centralized Agentic Systems Using Peer-to-Peer Critic Loops in Langgraph
In this tutorial, we demonstrate how a semi-centralized Animoi-style multi-agent system works by allowing two peer agents to interact directly without a manager or supervisor. We show how a drafter …
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AI Basics
LLM and AI Agent Applications with Langchain and Langgraph – Part 29: Model Agnostic Patterns and LLM API Gateway
Author(s): michaelczarnecki Originally published on Towards AI. hello! In this part we are moving from experiments and prototypes to the real world – production deployment, Because the truth is: creating …
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Generative AI
How to Design an Agent AI Architecture with Langgraph and OpenAI Using Adaptive Deliberation, Memory Graphs, and Reflexion Loops
In this tutorial, we go beyond simple planner, executor loops to create truly advanced agent AI systems using Langgraph and OpenAI models. We implement adaptive deliberation, where the agent dynamically …
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AI Tools
LLM and AI agent applications with Langchain and Langgraph – Part 25: AI agent architectures (and how to organize them)
Author(s): michaelczarnecki Originally published on Towards AI. hello! In this article I will demonstrate different Types of AI AgentsThis topic is useful because it helps you understand how many ways …
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AI Basics
LLM and AI Agent Applications with Langchain and Langgraph – Part 27: Publisher Agent (News → Summary → Articles → Criticism → Improvements)
Author(s): michaelczarnecki Originally published on Towards AI. hello. In this part I will run and demonstrate publishing agent – A system that automatically gathers news from the web, summarizes the …
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Generative AI
LLM and AI Agent Applications with Langchain and Langgraph – Part 28: Multi-Agent Discussion Panel (Researchers, Experts, Critics, Moderators)
Author(s): michaelczarnecki Originally published on Towards AI. hello. In this part I will present a multi-agent applicationsThis will be a discussion panel with four roles: researcher – Has access to …
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Generative AI
LLM and AI Agent Applications with Langchain and Langgraph – Part 17: Criteria Evaluator
Author(s): michaelczarnecki Originally published on Towards AI. hello! The next evaluation technique that we will learn in this section is criteria evaluator, The idea is simple, but extremely powerful: the …
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Machine Learning
LLM and AI Agent Applications with Langchain and Langgraph – Part 18: Trajectory Evaluator
Author(s): michaelczarnecki Originally published on Towards AI. hello! The next valuation technique that we will discuss in this section is trajectory evaluator, This tool does not just look at the …
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Generative AI
How to design transactional agent AI systems with Langgraph using two-phase commitment, human interruption, and safe rollback
In this tutorial, we implement an agentic AI pattern using Langgraph that treats reasoning and action as transactional workflows rather than single-shot decisions. We model a two-phase commit system in …
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