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World Congress 2025 • Aug 20, 2025 • Session details

On a Secret Mission: Developing AI Agents

Jörg Neumann

Reactive chatbots are obsolete. True generative automation requires fully autonomous, multi-agent architectures. Master the OpenAI Agents SDK to build scalable systems without prompt engineering headaches.

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#1 about 2 min

Locating AI agents within the broader machine learning landscape

Understanding the progression from basic chatbots to autonomous agents contextualizes modern development.

#2 about 3 min

Exploring the core architecture and components of AI agents

Combining large language models with external APIs and memory enables autonomous task execution.

#3 about 3 min

Utilizing built-in tools to expand autonomous agent task execution

Utilizing pre-packaged tools like code interpreters expands the practical capabilities of an agent sandbox.

#4 about 2 min

Reviewing application programming interfaces for single AI agent creation

Transitioning to advanced response APIs simplifies thread management and server-side session tracking.

#5 about 5 min

Orchestrating complex workflows utilizing the agent software development kit

Leveraging a dedicated Python SDK streamlines the creation of multi-agent and synchronous processes.

#6 about 3 min

Integrating custom Python functions directly as functional agent tools

Directly assigning custom functions to an agent bypasses complex metadata mapping for instant availability.

#7 about 2 min

Implementing built-in search components for live internet data retrieval

Accessing live internet data through web search tools prevents reliance on outdated training sets.

#8 about 2 min

Managing ongoing contextual conversations within multi-step AI agent workflows

Chaining prompt histories into formatted lists ensures agents maintain context throughout extended interactions.

#9 about 4 min

Routing incoming user queries efficiently utilizing the handoff pattern

Deploying a triage agent automates the process of forwarding requests to dedicated routing models.

#10 about 3 min

Assembling cross-functional agent teams for collaborative multi-step task execution

Delegating specialized tasks to sub-agents allows a primary coordinator to aggregate complex multi-step results.

#11 about 4 min

Implementing programmatic guardrails to filter restricted AI agent inputs

Assigning validation rules prevents models from processing or outputting restricted topics like unauthorized political queries.

Matching moments

2:14 min

Evolution from sandboxed chatbots to autonomous AI agents

Rob Nertney Rob Nertney · WWC Europe 2026

3:23 min

Integrating intent-based code generation and agent implementation

1:32 min

Architectural patterns for developing robust generative AI applications

Julián Duque Julián Duque · WWC 2025

40 sec

Introduction to building real-world AI agent solutions

Dennis Zielke Dennis Zielke +1 · WWC 2025

2:52 min

Evolving toward personalized modular AI software agents

Alexandre Guenoun Alexandre Guenoun +3 · WWC Europe 2026

4:20 min

Evolution and challenges of building AI applications

Roberto Carratalá Roberto Carratalá · WWC 2025

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