Insight rules are the criteria that the system uses when analyzing AI application sessions. They define the analysis objectives, evaluation logic, and output requirements. When analyzing a session, the system passes the session content as a variable into the system prompt configured in the rule, and uses a large language model (LLM) to generate structured insight results. Viewing insight rules helps you confirm whether the evaluation criteria and output content meet the current analysis objectives before you create an insight task. This prevents misinterpretation of results due to inconsistent understanding of the rules. This topic describes how to view insight rules. ## Prerequisites You have view permissions on the target workspace. For details, see [Workspace-level IAM permission control](https://docs.volcengine.com/docs/6431/2553748). ## Limits Currently, you can only view system\-preset rules (for example, session satisfaction). Creating, editing, or deleting insight rules is not supported yet. ## View rules 1. Log in to [the AI application monitoring console](https://console.volcengine.com/observe/apmplus-server/region:apmplus-server+cn-beijing/server/trace/llmanalysis), and select the project and region in the top menu bar. 2. In the left navigation pane, select **AI Application Insights** \> **Insight rule** to go to the insight rules list and view the currently available rules. 3. Click the name of an insight rule or **Details** in the Actions column to view the rule details. Settings On the **Settings ** tab, you can view the rule details. * **Basic information**: Includes the rule version, rule ID, data granularity, and output rules. * **System prompt**: Defines the role that the LLM plays during analysis, the tasks it must complete, the evaluation criteria, and the output requirements. It is the core basis on which the model generates insight results. Viewing this field helps you understand how the model analyzes sessions and determine whether the current rule matches your analysis objective. Because the system prompt may vary, the tags and evaluation rationales generated by the model can also differ accordingly. * **Template variable**: Defines the data to be analyzed that is passed into the system prompt. For example, session_messages represents the complete message list of the current session, including user input, agent responses, and tool calls. Viewing this field helps you confirm the actual scope of session data that the rule analyzes, and avoid misinterpreting analysis results due to a mismatch between the input data scope and your expectations. * **Output definition**: Defines the result type that the LLM returns, the tag values, and the evaluation criteria for each tag. Viewing this field helps you accurately understand the meaning of each tag and confirm whether the output meets subsequent screening and analysis requirements. Previous versions On the **Historical versions** tab, you can view the version history of the rule. This includes information such as version number, creator, and creation time. By default, the latest version is displayed and marked as "vN (Current version)".

tip

Version history is for viewing only. Version rollback is not supported yet.

## Other operations Click ** Create insight task** in the Actions column. The system automatically associates the rule and creates an insight task. For details, see [Creating insight tasks](https://docs.volcengine.com/docs/86845/2677965).

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