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Adding Webhooks and Callbacks Support in LLM Context Generation

· One min read

We've extended LLM context generation to include Webhooks and Callbacks documentation. Both llms.txt and llms-full.txt now provide AI tools like ChatGPT and Claude with comprehensive information about your event-based API interactions.

What's New?​

Previously, LLM context files only included standard API endpoints, leaving AI tools without visibility into Webhooks and Callbacks. This enhancement ensures developers can get accurate answers about event-based interactions when using AI assistants.

llms.txt​

Direct links to Webhooks and Callbacks documentation are now included for quick discovery:

Webhooks & Callbacks Links in llm.txt example

This enables LLMs to locate and reference event-based endpoints and their guides.

llms-full.txt​

Complete documentation for each Webhook and Callback is now included with:

  • Event descriptions and payload structures
  • Request payload schemas with data types
  • Usage examples in supported frameworks
  • Code samples for signature verification and event parsing

Webhooks & Callbacks in llm-full.txt example

This provides LLM tools with full context when interpreting and explaining your event-based APIs.

To learn more, see the LLM context generation documentation.