What is Qwen-Agent?
Alibaba's agent framework built on Qwen 3+ models with Function Calling, MCP, Code Interpreter, and RAG. Ideal for running agents on local Qwen via Ollama or vLLM.
Searching Reddit Comments Tree with Qwen-Agent
This integration lets your Qwen-Agent 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
Bash
pip install qwen-agentCode Example
Here is a complete Qwen-Agent agent that searches Reddit Comments Tree using Scavio:
Python
# Generic HTTP integration for Qwen-Agent
# 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:
Python
# Generic HTTP integration for Qwen-Agent
# 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 Qwen-Agent integration. Paid plans start at $30/month for higher volumes.