AI inline completions for BML/BMQL in CPQ DevKit™

CPQ DevKit™ for Oracle can provide AI-powered inline completions while you write BML/BMQL. This is designed for faster “type → accept → refine” workflows in large CPQ codebases.

1) Set your CPQ DevKit AI API key

In VS Code, open the Command Palette (Cmd/Ctrl+Shift+P) and run:

• CPQ DevKit™: Set AI API Key

The key is stored in VS Code Secret Storage, so you don’t have to commit it anywhere.

2) Toggle AI completions on/off

Use:

• CPQ DevKit™: Toggle AI Completions

AI completions only run for BML/BMQL languages (bml, bmlt, bmql).

3) Choose the model (optional)

In VS Code settings, set cpqdevkit.aiModel to one of:

Tips for better suggestions

• Write a short “anchor” token first (AI completions won’t trigger on blank/whitespace-only lines).
• Keep related logic close together—CPQ DevKit sends nearby context to produce more relevant completions.
• Treat suggestions like drafts: accept fast, then apply your team’s patterns and naming.