Streaming SSE Native
Unbuffered edge routing streams completions token-by-token for snappy conversational UX.
- Instant response rendering
Deploy projects built with OpenAI SDK Apps in 60 seconds.
Secure secret management, streaming responses, attached databases, and automatic scaling for OpenAI API integrations and AI-powered applications.
01 / The Workflow
Zero operational glue between prompt and production.
Production AI apps need secure keys, streaming, and fast compute.
Production Control Plane
Built specifically for fast-iterating code.
Connecting to the OpenAI API requires secure handling of high-value API keys, unbuffered streaming for conversational interfaces, and reliable database storage for user history.
- Secure key storage with zero exposure in client-side bundles
- Unbuffered Server-Sent Events for instant token-by-token streaming
- Attached PostgreSQL with pgvector for retrieval-augmented generation (RAG)
Continuous Delivery
Git Push · Automated Containerization · TLS 1.3
1Build your backend API using OpenAI SDK in Node.js, Python, or Go
2Push your repository to GitHub or GitLab
3Deployxa detects your stack and builds a slim Docker container
4Inject OPENAI_API_KEY into project secrets
02 / Capabilities
Everything you need to ship OpenAI SDK Apps to production.
From automatic framework detection to attached managed databases, Deployxa provides a complete cloud runtime.
Encrypted Secret Storage
Inject OPENAI_API_KEY into secure server runtimes without exposing secrets in browser code.
- Never leak your OpenAI keys
Managed Postgres & Vector DB
Attach managed PostgreSQL with pgvector extension enabled for high-performance RAG.
- Store chat history & embeddings
Rate-Limit & Timeout Resilience
Run retry logic and queue workers without fear of short serverless timeout cutoffs.
- Persistent background retries
Automated CI/CD
Automate deployments across staging and production branches with isolated environments.
- Deploys on git push
Instant Rollbacks
Roll back bad prompt or model configurations in seconds without rebuilding code.
- Revert prompt changes
03 / Platform Comparison
Why Deployxa is the ideal production cloud.
Compare Deployxa with temporary browser sandboxes and unmanaged manual virtual servers.
| Capability | Deployxa Cloud | Local Sandboxes | Raw VPS / Server |
|---|---|---|---|
| Continuous Git Deployment | Auto-deploy on push | Manual export | Manual git pull & restart |
| Container Isolation & Limits | Hardened Docker sandboxes | Shared browser memory | Manual systemd / Docker |
| Attached Databases | 1-click Postgres & MySQL | Ephemeral storage | Manual setup & patching |
| Automatic HTTPS & Domains | Let’s Encrypt TLS 1.3 | Sandbox subdomains only | Manual Certbot configuration |
| Instant Rollbacks | Sub-second traffic flip | Re-prompt or re-export | Manual git checkout & rebuild |
| MCP Control Plane Integration | Native Streamable HTTP MCP | None | None |
04 / Frequently Asked Questions
Deploying OpenAI SDK Apps on Deployxa.
Does Deployxa buffer streaming responses from OpenAI?
No. Deployxa edge routing uses Traefik with response buffering disabled for streaming routes, ensuring real-time token delivery.
Can I store vector embeddings in Deployxa databases?
Yes. Our managed PostgreSQL databases support the pgvector extension for semantic search and RAG workflows.
How are secrets secured?
All environment variables are encrypted at rest and injected directly into runtime containers at startup.
Ready when you are
Ready to take your OpenAI SDK Apps application live?
Connect your repository. We build, secure, and scale your application automatically.