1
Make the first call
Configure the key, base URL, model and message.
Build step by step
Developer Tutorials
Hands-on Python and Node.js tutorials for chat, structured output, streaming, tool calling and production deployment.
Copy a working pattern, understand it and adapt it to your application.
Structured learning path
Learn in the order developers build.
Start with the decision, move into implementation and finish with production checks.
2
Stream responses
Render partial output and handle interrupted requests.
3
Add structured output
Validate JSON and tool arguments before use.
4
Deploy
Protect keys, log requests and set production limits.
Core guides
Build topical authority, not article islands.
Python01
Python AI API Quickstart
Create a chat completion with an OpenAI-compatible SDK.
Open guideNode.js02
Node.js AI API Quickstart
Build a server-side request and stream the response.
Open guideApplication pattern03
Structured Output Tutorial
Request and validate reliable JSON responses.
Open guideApplication pattern04
Tool Calling Tutorial
Connect model decisions to application functions.
Open guideDeployment05
Deploy with Vercel AI SDK
Build a multi-model route for a production web app.
Open guide Use case
Ship a streaming chat route
Start with a server-side model request, stream tokens to the UI and keep provider credentials out of the browser.
Server-only API key
Abort and timeout handling
Streaming UI state
Request and error logs
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Go from model shortlist to a working production request.
LLM Infrastructure
Build an AI request layer that survives provider and model changes.
AI Agent
Move from a prompt demo to an observable agent workflow.
Cost Optimization
Lower cost without hiding quality or reliability trade-offs.
Model Comparison
Select a model based on the job, not the leaderboard headline.
Tutorials
Copy a working pattern, understand it and adapt it to your application.
AEO-ready answers
Frequently asked questions
Should AI API keys be used in browser code?
No. Keep provider credentials on the server and expose only your own authenticated application route to the browser.
Which SDK should a tutorial use?
Use an OpenAI-compatible SDK for portability or a provider-native SDK when the workflow needs provider-specific features.