Starting a Conversation

This feature is still under development, but we’d love you to try it.
All content is generated by AI. Please verify the output carefully.

Guanyun AI combines state-of-the-art large language models (LLMs) with Guanyun Platform. With AI-powered analysis, it provides deeper incident insights and faster resolution guidance, helping you identify key issues behind system behavior and solve technical problems more efficiently.

Using the AI Interface

Starting a Conversation

• Option 1: Log in to Guanyun Platform, open the landing page, enter your question in the AI input box, and press Enter to open the Guanyun AI chat panel.

• Option 2: On any feature page, click the Guanyun AI icon in the upper-right corner to open the chat panel.

Viewing Historical Conversation

Click Historical Conversation List. On the Conversation History page, you can delete or search past conversations, or resume any previous thread.

Starting a New Conversation

Click New Conversation to start a fresh Conversation and reduce answer drift caused by overly long context.

Introducing Q&A Features

Knowledge Base Q&A

With knowledge base training, Guanyun AI can communicate with you in natural language. Describe your issue in the chat box, and Guanyun AI will automatically match relevant content and provide recommended steps and reference documents.

Try asking:

• Inspect all applications
• How to deploy UniAgent on a Linux server
• What is the purpose of a full-stack snapshot

Current supported scenarios:

1. Operations knowledge Q&A (for example, Oracle and MySQL administration, troubleshooting, and tool usage).
2. Natural-language metric queries across APM, RUM, and host metrics.
3. AI-assisted analysis for response time, errors, and other signals across applications, instances, and requests.
4. Script generation based on your requirements (Shell scripts).
5. In-product documentation Q&A for platform features.

Example:

One-Click Metric Analysis

Guanyun AI identifies anomalies in key metrics for entities (Systems / Applications / Application Instances / Requests) through intelligent baseline detection. It then triggers deep diagnostics based on the metric type, enabling a closed-loop workflow from detecting issues to identifying root cause. There are two entry points:

• Entry 1: On an entity details page, in a metric trend chart, click ··· in the upper-right corner and select AI Analysis.

• Entry 2: Select a time range in a metric trend chart and click AI Analysis.

AI-Assisted Analysis

Guanyun AI provides end-to-end performance analysis across multiple entity dimensions, including applications, instances, requests, hosts, and databases. It combines real-time monitoring with AI-assisted analysis to help you locate performance bottlenecks and anomalies faster. You can ask questions in the following scenarios:

• 1. Inspecting Entities: Open the entity list (Systems / Applications / Instances / Requests / Databases / Hosts) and click the Guanyun AI icon in the upper-right corner.

• 2. One-Click Analysis: In the entity list (Systems / Applications / Instances / Requests / Distributed Tracing), click the Guanyun AI icon next to an entity name (the icon is hidden by default and appears on hover).

• 3. Deep Analysis: On an entity details page, click the Guanyun AI icon in the upper-right corner. Guanyun AI can recognize the entity on the page and run metric analysis or event queries.

The following are three example scenarios for continuous Q&A:

Scenario 1: Application

Intent	Question	Answer
Understand the overall health of monitored applications	Inspect all applications	Returns the top applications with anomalies in key indicators (for example, response time, error rate, throughput, and Problems).
Investigate an abnormal indicator for Application A	Why is Application A slow	Analyzes response time from the perspectives of instances and requests.
Drill down into a specific instance (Instance B)	Why is Instance B slow	Analyzes abnormal requests under this instance and provides likely root cause.
Drill down into a specific request (Request C)	Why is Request C slow	Analyzes the trace for this request and provides likely root cause.

Scenario 2: Host

Intent	Question	Answer
Understand the current status of monitored hosts	Which hosts are monitored by the platform	Returns the top 10 monitored hosts and key indicators (for example, CPU usage and memory usage).
Investigate a specific indicator on Host A	Why is Host A CPU usage high	Returns the top processes contributing to high CPU usage on Host A.

Scenario 3: Database

Intent	Question	Answer
Identify databases with high error rates	Which databases have high error rates	Returns the top databases with high error rates.
Investigate a specific database (Database A)	Why is Database A error rate high or Which SQL statements have high error rates in Database A	Analyzes error types, operations, and stack information, and provides likely root cause.

• 4. RUM Crash Analysis: In Real User Monitoring, open Crash Details and click View AI Solution.

FAQ

• Nacos Configuration

  In on-premises releases, the LLM-related configuration is not included by default. If you ask a question without configuring these services, you will see: LLM, Embedding, and Rerank services are not configured. This feature is unavailable. Contact technical support to configure the required model services.