What is AnythingLLM?
Full-stack local AI app with document ingestion, workspaces, and multi-user support. Wire Scavio in as a plugin to complement uploaded documents with real-time web search during every chat or agent run.
Searching Reddit Comments Tree with AnythingLLM
This integration lets your AnythingLLM agent search Reddit Comments Tree in real time via the Scavio API. The agent gets back structured JSON with comment text, authors, scores, depth -- ready for reasoning and decision-making.
Setup
# Add Scavio agent skill to AnythingLLM plugins directoryCode Example
Here is a complete AnythingLLM agent that searches Reddit Comments Tree using Scavio:
// Generic HTTP integration for AnythingLLM
// Point your framework's HTTP request tool at:
//
// POST https://api.scavio.dev/api/v1/reddit/post/comments
// Authorization: Bearer sk_live_your_key
// Content-Type: application/json
// {"post_id":"your search query","sort":"TOP"}
//
// Rows come back under data.comments.
//
// Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.
Full Working Example
A production-ready example with error handling:
// Generic HTTP integration for AnythingLLM
// Point your framework's HTTP request tool at:
//
// POST https://api.scavio.dev/api/v1/reddit/post/comments
// Authorization: Bearer sk_live_your_key
// Content-Type: application/json
// {"post_id":"your search query","sort":"TOP"}
//
// Rows come back under data.comments.
//
// Comments are fetched per post: get a post_id from POST /api/v1/reddit/search, or resolve a URL with POST /api/v1/reddit/post. Deeper replies come from POST /api/v1/reddit/post/comments/replies using a row's reply_cursor.
Pricing
Scavio offers a free tier with 50 credits on signup (1 credit per search). No credit card required. This is enough to build and test your AnythingLLM integration. Paid plans start at $30/month for higher volumes.