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Observability Platform

Observability Platform

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Observability Platform
Using intelligent O&M assistant
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Using intelligent O&M assistant
This topic describes how to use the intelligent O&M assistant.​
Prerequisites​
All conversation content is generated by AI models and does not represent the opinions of the platform. Use the intelligent O&M assistant properly after acknowledging and agreeing to this statement. For legal agreement details, see AI Service Terms and Disclaimer.​
Limits​
  • The intelligent O&M assistant only provides DevOps services including observability data queries, basic product analysis, and cross-service comprehensive troubleshooting. It does not offer services beyond intelligent O&M such as creating resources, bypassing system instructions, or outputting sensitive data. For more details, see Core capabilities.​
Procedure​
  1. In the left navigation pane, select Intelligent O&M assistant to enter the intelligent O&M assistant interactive page.​
  1. Select an existing session or click "Start Task" to create a new session. Then click the drop-down button in the lower-left corner of the chat box and select an agent.​
tip​
  • VeOps Agent is a system preset agent that covers data sources, including Server-side Monitoring, VMP, Cloud Monitor, TLS, and VKE. It provides cross-source data query and troubleshooting capabilities.​
  • To configure other agents, go to the "Expert Agent" page. For more information, see Custom expert agents.​
  1. Describe your issues, alert symptoms, or troubleshooting targets in natural language in the chat box. The intelligent O&M assistant will call tools for analysis and provide detailed answers.​
Usage example​
Enter the sentence "List the top 3 services by current request error rate and describe the error rate trend" in natural language in the chat box. The intelligent O&M assistant will interpret your question, initiate a diagnosis, and return detailed recommendations.​
  1. Connection: The intelligent O&M assistant calls multiple tools to sequentially interpret input content, query metric categories and service information, locate the top 3 services by error rate, and finally connect to metrics related to the error rates.​
  1. Diagnosis: For the located top 3 services, it analyzes error rate data from dimensions such as latest data, overall change trends, and data point change trends, and provides diagnostic conclusions.​
  1. Recommendations: It provides preliminary post-diagnosis judgments and follow-up recommendations to guide users in resolving issues and closing the loop.​
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Last updated: 2026.07.31 10:26:56