Why Choose EdgeOne Makers as Your OpenAI Agent Builder
The fastest way to go from OpenAI SDK code to production — deploy your openai agent builder project with zero infrastructure and built-in model access.
One-Command Deployment
Deploy with `git push` for auto-deploy or `edgeone makers deploy` via CLI — no Docker, no Kubernetes, no server provisioning.
Built-in Agent Runtime
Managed runtime with session-sticky routing, up to 1-hour execution time, and in-memory state reuse — purpose-built for LLM calls and multi-step agent loops.
Integrated AI Models
Access DeepSeek, MiniMax, Hunyuan, and more through a unified AI gateway. New accounts receive 500K free tokens with zero configuration.
Full Observability
Zero-instrumentation distributed tracing — view complete call chains, LLM interactions, tool invocations, and latency metrics in local and cloud dashboards.
How to Build and Deploy OpenAI Agents in 3 Steps
From openai sdk code to live agent in minutes — the platform handles runtime, tools, and scaling automatically.
1
Write Your Agent
Build in the `agents/` directory with any framework (OpenAI SDK, Claude SDK, LangGraph, CrewAI, DeepAgents).
2
Deploy to Production
Push to Git (GitHub/GitLab/Gitee) for auto-deploy, or run `edgeone makers deploy` via CLI.
3
Go Live
Deploys globally in minutes with automatic SSL and edge routing.
Everything You Need for OpenAI Agent Builder
A complete platform for building and hosting OpenAI SDK agents — runtime, sandbox, memory, models, and tracing included.
Feature | Description |
|---|---|
| Agent Runtime | Hosts LLM calls, Agent loop orchestration, and business logic, with session-based routing and automatic scaling. |
| Sandbox Tools | Provides two separate yet interoperable API layers for both LLMs and developers. Browser automation, code execution, Shell, and file operations all run in an isolated sandbox environment. |
| Conversation Storage | Provides framework-compatible memory management, with unified APIs for sessions and messages. |
| Observability | Automatically collects call traces with zero-intrusion instrumentation, enabling unified trace viewing in both local and cloud dashboards. |
| Built-in Models | Access Hunyuan and other mainstream Chinese models through AI Gateway with a limited-time free token quota. |
How do I deploy an OpenAI SDK agent on EdgeOne Makers?
Write your agent using OpenAI SDK in the `agents/` directory, configure `edgeone.json`, and push to Git. The openai agent builder platform handles deployment, SSL, and global distribution automatically.
Does the openai agent builder include free model access?
Yes. Every deployment includes 500K free tokens via the AI gateway, compatible with OpenAI SDK. You can also bring your own OpenAI API key for additional usage.
Can I use OpenAI SDK's tool calling with the platform?
Yes. The platform provides built-in sandbox tools (browser, code execution, shell, file I/O) that integrate natively with OpenAI SDK's function calling and tool use patterns.
Is the openai agent builder platform free?
Yes. Free tier: 200,000 executions/month, 500K model tokens, 40 concurrent sessions, and up to 1-hour runtime per request. No credit card required.
Does the openai agent builder support streaming responses?
Yes. The platform natively supports Server-Sent Events (SSE) streaming, fully compatible with OpenAI SDK's streaming API for real-time agent responses.