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openai/openai-cs-agents-demo

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6,410 estrellas·991 forks·Python·MIT·4 vistas

Openai Cs Agents Demo

This is a demonstration project from OpenAI that showcases a multi-agent customer service workflow built with the OpenAI Agents SDK. It coordinates several specialized AI agents to handle common airline support tasks such as flight booking and cancellation, refunds and compensation, seat and special service requests, real-time flight information, and airline policy FAQ responses, all within a single conversational interface.

The system routes incoming customer requests to the appropriate specialized agent based on intent, and enforces guardrails to block off-topic or malicious requests. It supports both synchronous agent execution and a managed runtime that handles turn management, tool execution, and handoffs across multiple coordinated steps. Responses can be streamed token by token for a natural, interactive conversation flow, and the chat interface can be deeply customized to match the host application's look and feel.

The project includes features for file attachment handling, interactive widget rendering, source and entity annotation, and thread-based conversation state persistence. It also provides a voice agent pipeline connecting speech recognition, agent processing, and text-to-speech for voice-based interactions. The backend can be deployed on OpenAI's infrastructure or self-hosted, with isolated agent workspaces for safe execution of coding or document tasks.

Features

  • Support Chat Widgets - Provides an interactive chat interface with streaming responses, file attachments, and interactive widgets for airline customer service.
  • Agent Handoffs - Routes user requests to dedicated agents for tasks like booking, refunds, or FAQ based on intent.
  • Agent SDK Demonstrations - Demonstrates a multi-agent customer service workflow using the OpenAI Agents SDK for airline support tasks.
  • Multi-Agent Orchestration Patterns - Coordinates specialized agents through handoffs and a manager pattern to handle complex airline service requests.
  • Agent Execution Runtimes - Provides a managed runtime that handles turn management, tool execution, and handoffs for AI agents.
  • Streaming Chat Responses - Streams AI responses token by token into the chat interface for a natural, interactive conversation flow.
  • Airline Support Automation - Handles common airline support tasks like booking changes, refunds, and policy questions through an AI-powered chat interface.
  • Interactive Agent Chat Interfaces - Builds a chat interface with streaming responses, file attachments, and embedded interactive widgets for agent-driven workflows.
  • Conversation Threads - Organizes messages into threads and manages their lifecycle for structured, multi-turn conversations.
  • Multi-Agent Orchestrators - Coordinates multiple specialized AI agents to handle different types of customer requests within a single conversation.
  • Agent State Persistence - Carries conversation history and session data between interactions so the agent maintains context over time.
  • Conversational Dialog Guardrails - Enforces conversation boundaries to block off-topic or malicious requests while maintaining context across multi-turn dialogues.
  • Intent-Based Agent Routings - Routes incoming user requests to the appropriate specialized agent based on intent for accurate handling.
  • Voice Agents - Connects speech-to-text, an agent, and text-to-speech into a real-time pipeline for voice-based interactions.
  • Agent Workspace Environments - Provides a real, resumable file system and execution environment for each agent to safely handle coding or document tasks.
  • Guardrail-Enforced - Blocks off-topic or malicious requests to keep interactions focused on the intended airline domain.
  • Message Management - Organizes conversations into threads and manages individual messages for complex multi-turn dialogues.
  • Programmatic Agent Execution - Supports synchronous agent execution where a prompt returns the final output in a single blocking call.
  • Travel Booking Agents - Books, rebooks, or cancels flight itineraries, including seat assignments and confirmation updates.
  • Managed Chat Backend Deployments - Runs the chat backend on OpenAI's infrastructure for fastest setup or on your own servers for full control over data and workflows.
  • Disruption Compensation Agents - Opens compensation cases and provides hotel, meal, and transportation credits after flight disruptions.
  • Domain-Specific FAQ Agents - Responds to policy-related questions about baggage, compensation, Wi-Fi, and other airline rules.
  • Travel Status Agents - Shares live flight status, connection risk assessments, and alternative travel options using mock flight data.
  • Agent Thread State Persistence - Organizes messages into threads to persist context and history across multi-turn dialogues.
  • Seat and Service Request Agents - Manages seat changes and special service requests, such as medical or front-row seating.
  • Chat Interface Customizations - Deeply customizes the chat interface's appearance and behavior to match the host application's look and feel.

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Preguntas frecuentes

¿Qué hace openai/openai-cs-agents-demo?

This is a demonstration project from OpenAI that showcases a multi-agent customer service workflow built with the OpenAI Agents SDK. It coordinates several specialized AI agents to handle common airline support tasks such as flight booking and cancellation, refunds and compensation, seat and special service requests, real-time flight information, and airline policy FAQ responses, all within a single conversational interface.

¿Cuáles son las características principales de openai/openai-cs-agents-demo?

Las características principales de openai/openai-cs-agents-demo son: Support Chat Widgets, Agent Handoffs, Agent SDK Demonstrations, Multi-Agent Orchestration Patterns, Agent Execution Runtimes, Streaming Chat Responses, Airline Support Automation, Interactive Agent Chat Interfaces.

¿Qué alternativas de código abierto existen para openai/openai-cs-agents-demo?

Las alternativas de código abierto para openai/openai-cs-agents-demo incluyen: mastra-ai/mastra — Mastra is an orchestration framework designed for building, deploying, and managing autonomous AI agents and… i-am-bee/beeai-framework — The BeeAI Framework is an LLM agent framework and multi-agent orchestration engine used to build autonomous agents… cloudwego/eino — Eino is an AI agent development kit and LLM application framework designed for building autonomous agents and… vrsen/agency-swarm — Agency Swarm is a multi-agent orchestration framework and development kit designed to coordinate specialized AI agents… openai/openai-agents-python — This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime… voltagent/voltagent.