What Data for This Category Looks Like
The data for this category primarily comes from SIEM, EDR, NDR, and threat intelligence sources. Update cycles include real-time and daily updates. Associated daily documents include alarm disposal sheets, duty logs, threat intelligence notifications, daily and weekly reports. Document fields include alarm ID, disposal time, threat level, duty personnel, notification number, and other relevant fields. A single alarm disposal sheet typically includes structured fields such as alarm trigger source, preliminary judgment result, and dispatch record. Daily and weekly reports summarize statistical content such as total alarm count and disposal rate on a daily or weekly basis. Updated data is synchronized to the associated SOC duty workspace.
How These Characteristics Affect Multi-turn Dialogue and Prompt Engineering
Data sources for this category are numerous, and update cycles vary significantly. Real-time alarms require rapid judgment. Therefore, multi-turn dialogue must support quick calls with short context to avoid excessive context loading delays. Daily and weekly reports and other daily updated documents have large file sizes. It is necessary to limit the context range loaded in a single dialogue to prevent interface timeouts. Structured documents such as alarm disposal sheets include fixed fields. Prompts must clearly specify output formats to ensure that extracted fields such as alarm ID and disposal time meet business requirements. At the same time, SOC analysts’ judgment work must be linked to historical sessions. Multi-turn dialogue must support associating historical conversation content using chatId to ensure continuity of judgment.
Configuration Settings
The following configurations are formulated based on the logic of FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Unique identifier bound to the current alarm session | Ensures multi-turn dialogue associates historical judgment records and avoids context breaks |
messages | Load the most recent 20 historical messages and current alarm context | Balances context completeness and response speed, adapts to the rapid judgment needs of real-time alarms |
variables | Pass SIEM/EDR source ID and threat level parameters of the current alarm | Allows prompts to accurately match the current business scenario and reduce invalid output |
| Single dialogue context limit | 800–1200 characters | Adapts to batch loading needs of daily updated documents and avoids interface timeouts |
| Response timeout threshold | 60 seconds | Meets SOC analysts’ real-time judgment waiting expectations and avoids long periods of no response |
| Streaming output interval | 1–2 seconds (calibrated via actual testing) | Adapts to front-end rendering rhythm and improves operational comfort |
Three Common Misconfiguration Issues
- Phenomenon: Streaming output returns at a fixed 4-second interval, and cannot be adjusted to the preset 1–2 seconds. Cause: The custom response speed parameter is not enabled in the dialogue API configuration, and the platform’s default general threshold is used for responses.
- Phenomenon: The content in the dialogue log details does not match the actual response content, and the details still show the initial content after multiple conversations. Cause: The
chatIdparameter is not correctly bound, leading to failure to properly update the session context, and the log record reuses initial session data. - Phenomenon: Clicking the alarm disposal link in streaming output only overwrites the current page, and cannot jump to a new page. Cause: The prompt does not explicitly require links to open in a new window, or the streaming output format of the dialogue API does not support front-end new window jump logic.
How to Verify Proper Configuration
- Initiate a test dialogue containing historical alarm content, check whether
chatIdis correctly bound and whether historical context loads normally. - Upload a single alarm disposal sheet, verify that the prompt can accurately extract specified fields and that the output format meets business requirements.
- Enable streaming output testing, observe whether the return interval matches the preset response speed requirements.
- View the dialogue log, check whether the log content matches the actual response content, and confirm that the session context updates normally.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-10-19.