OpenAI Support Agent Demo
https://github.com/openai/openai-support-agent-demo- Category
- AI Agents
- Rank
- No. 1490Tools index
Previous survey · No. 1495 ·
- Pricing
- Open Source
- Type
- TOOL
- Builder
- openai
- GitHub
- 198 stars
- Date
About
Customer-support agent reference built with Next.js and the OpenAI Responses API plus File Search — clone-and-go template.
What it does
It stages a support conversation in paired customer and representative views. The assistant searches a supplied knowledge base, streams draft replies, cites relevant articles, and proposes operational actions. A representative can edit or approve messages and sensitive actions, while designated non-sensitive actions run automatically.
Why it's ranked here
This is a strong teaching implementation because it connects retrieval, streamed responses, tool calls, and human approval in one visible workflow. The split interface makes control boundaries easy to understand. Its value is architectural rather than operational: the repository explicitly labels the demo unsuitable for production without additional safeguards.
What's good
The representative sees generated replies before customers receive them and can edit or send them directly. File-search results surface as relevant knowledge-base articles. Tool arguments stream into the interface, making proposed actions inspectable. The design distinguishes actions requiring representative approval from actions allowed to execute automatically, which gives teams a concrete human-control pattern to study.
Tradeoffs
Operational functions are placeholders and do not change any data. Setup requires creating a vector store and manually inserting its identifier. The project lacks production essentials named by its own documentation, including input guardrails and user authentication. Error handling around streamed requests mainly logs failures rather than presenting recovery paths.
How to use it well
Use it to prototype support workflows, teach human approval patterns, or validate how retrieval and action suggestions should appear to representatives. Replace the demo knowledge, prompts, tools, and endpoints with domain-specific integrations. Do not treat it as a finished support platform, authenticated customer portal, or working order-management backend.
Technical notes+
app/page.tsx renders responsive customer and agent panes, while components/Chat.tsx handles editable streamed suggestions, annotations, typing state, and message submission. lib/assistant.ts consumes server-sent events from /api/turn_response, accumulates partial text and JSON arguments, records tool outputs, and recursively starts another model turn after a function result. lib/tools/tools.ts builds strict function schemas and adds File Search using the vector-store value from config/constants.ts. lib/tools/tools-handling.ts separates suggested agent actions from automatically executed tools. package.json defines a private Next.js application with npm development, build, start, and lint scripts.
Observed
- License
- MIT License
- Primary language
- TypeScript with React TSX components
- Packaging
- Private npm package with install and script-based development workflow
- Interface
- Next.js web application with separate customer and support-representative chat views
- API integration
- Uses the OpenAI Responses API, File Search, vector stores, streaming events, and function tools
- Runtime surface
- Runs locally through the Next.js development server and opens in a web browser
Read from README.md, package.json, lib/utils.ts, lib/assistant.ts, lib/tools/tools.ts, lib/tools/tools-handling.ts, next.config.mjs, eslint.config.mjs, postcss.config.mjs, tailwind.config.ts, app/page.tsx, app/layout.tsx, config/demoData.ts, components/Chat.tsx, config/constants.ts.
What it can do
Process customer support inquiries
Customer questions or requests → AI-generated support responses
Search through support documentation
User query and uploaded files/documents → Relevant information from documentation
Generate contextual responses using AI
Customer message and conversation history → Personalized support response
Deploy customer support chat interface
Next.js template configuration → Functional web-based support application
Index and retrieve file content
Support documents and files → Searchable knowledge base responses
Tags
Tech Stack
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