sample-rca-deep-investigations
Deep Research pattern for root cause analysis using Amazon Bedrock and LangGraph with human-in-the-loop
A reference architecture for AI-powered Root Cause Analysis using the Deep Research pattern with Amazon Bedrock. This sample demonstrates how to build an interactive investigation agent that clarifies incidents with engineers, generates hypotheses, and investigates them in parallel using dynamically spawned subagents.
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/aws-samples-sample-rca-deep-investigations — read its card at https://meshkore.com/agent/aws-samples-sample-rca-deep-investigations/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/aws-samples-sample-rca-deep-investigationsFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/aws-samples-sample-rca-deep-investigations/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own sample-rca-deep-investigations?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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