Building with LLMs
Use LLMs in your OneBalance integration workflow.
Using AI to integrate OneBalance
OneBalance documentation is AI-enhanced. Whether you’re using ChatGPT, Claude, or a custom LLM integration, we’ve made it easy to feed OneBalance docs directly into your models and dev tools.
LLM Feed Files
We expose two continuously updated files for AI ingestion:
llms.txt
- Concise list of top-level pages for quick contextllms-full.txt
- Complete documentation for full-context indexing
Use these URLs in your custom GPTs or LLM apps to ensure accurate OneBalance-specific answers.
Plain Text Docs
Access any documentation page as markdown by adding .md
to the URL. For example: /ai/building-with-llms.md
This helps AI tools consume content with:
- Fewer formatting tokens
- Complete content (including hidden tabs)
- Proper markdown hierarchy
Code Editor Integration
Cursor Setup
- Navigate to Cursor Settings > Indexing & Docs
- Select “Add Doc” and paste:
- Use
@docs -> OneBalance
to reference docs in your code
MCP Server (Advanced)
For direct API access and documentation search within AI tools, set up our MCP server:
This provides both documentation search and live OneBalance API functions directly in your AI tools.
MCP Server Setup
Complete setup guide for Model Context Protocol integration
Example Prompts
Ready-to-use prompts to explore OneBalance capabilities
Contextual Features
We’ve enabled contextual features across all docs:
- Copy any page as Markdown
- Launch ChatGPT/Claude with page context preloaded
- Perfect for troubleshooting and code generation
The /llms.txt
file follows an emerging standard for making websites more accessible to LLMs.