AI LLM Dev API

Understand the boundary

Use this topic when an AI feature combines several moving parts: a language model, a document store, tool calls, and a product workflow. Draw the data flow before implementing an orchestration layer. Identify which component owns the user identity, where context is assembled, and which component has authority to commit a change. The model should not quietly become the owner of all three.

A practical starting project

Prototype a document-review assistant that can read a selected document, produce a structured finding, and propose a follow-up task. Keep reading, proposing, and creating that task as separate operations. Record the document revision and the policy version used for the proposal so a reviewer can reproduce the reasoning context without relying on a mutable chat transcript.

Where integrations go wrong

Combining multiple services increases the number of places where stale context, timeouts, or permission mistakes can occur. Avoid a single catch-all error message. Report whether retrieval failed, output validation failed, or an approved action could not complete. A longer chain of calls needs more observability, not stronger claims of autonomy.

Reference for implementation: OpenAI function calling documentation. Check the official reference for the specific version and environment you plan to use. The exercise above is an engineering starting point, not a live DevAPI.com service.