Appendix
This chapter compiles technical reference materials for Antigravity Tools, including API endpoint quick reference, data storage structure, and experimental feature boundary descriptions. When you need to quickly look up a technical detail, this is your "dictionary."
In This Chapter
| Document | Description | Use Cases |
|---|---|---|
| Endpoint Quick Reference | Overview of external HTTP routes: OpenAI/Anthropic/Gemini/MCP endpoints, auth modes, and Header formats | Integrating new clients, troubleshooting 404/401 |
| Data & Models | Account file structure, SQLite stats database table structure, key field definitions | Backup and migration, direct database queries, troubleshooting |
| z.ai Integration Boundaries | Checklist of features implemented vs. explicitly not implemented in z.ai | Evaluate z.ai capabilities, avoid misuse |
Recommended Learning Path
Endpoint Quick Reference → Data & Models → z.ai Integration Boundaries
↓ ↓ ↓
Know which path to call Know where data is Know where boundaries are- Start with Endpoint Quick Reference: Understand which APIs are available and how to configure authentication
- Then Data & Models: Understand data storage structure for easy backup, migration, and direct database troubleshooting
- Finally z.ai Integration Boundaries: If you use z.ai, this helps you avoid treating "not implemented" as "available"
These Documents Are Not Required Reading
The appendix is reference material, not a tutorial. You don't need to read it from beginning to end—just consult it when encountering specific questions.
Prerequisites
Recommended First
- What is Antigravity Tools: Build basic mental model
- Start Local Reverse Proxy & Connect First Client: Complete basic workflow
If you haven't completed the basic workflow, it's recommended to finish the Getting Started chapter first.
Next Steps
After reading the appendix, you can:
- Release Notes: Understand recent changes, verify before upgrading
- FAQ: When encountering specific errors, find answers in the FAQ chapter
- Advanced Configuration: Deep dive into hot reload, scheduling strategies, and other advanced features