What Data for This Category Looks Like
Data for this category primarily comes from WAF, IDS, firewall devices, and threat intelligence platforms. Updates occur daily or when a protection event triggers. Daily generated documents include rule change tickets, blocking logs, false positive analysis reports, and policy rollback records. Document fields include rule ID, effective time, blocked IP, false positive rate value, rollback time, and more. No unified fixed units apply; values adjust based on the specific content of individual records. Typical users include security operation engineers, WAF or IDS product administrators, and SOC team members.
Constraints Imposed by These Characteristics on Multi-turn Dialogue and Prompt Engineering
Dispersed data sources that update with events require multi-turn dialogue to associate log data from different devices, avoiding context breaks. The large number of document fields and lack of unified units require prompts to explicitly request extraction of specified fields to prevent generation of meaningless content. False positive analysis and rule gray release processes take extended time, so multi-turn dialogue must retain variables such as rule IDs and blocking records from historical sessions to avoid repeated input. Protection policy change consequences directly impact business operations, so dialogue processes must ensure context consistency to prevent incorrect rule adjustment suggestions caused by lost context.
How to Configure Settings
The following configurations are based on FastGPT v4.17.0 logic.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Session ID | Bind chatId to generate a unique identifier | Ensure multi-turn dialogue contexts are not confused, matching the single-session scenario of security rules |
| Dialogue history context | Retain the first 20 rounds of dialogue content | Cover multi-step communication needs for rule changes and false positive analysis, avoiding repeated input of rule IDs |
| Global variable storage | Enable persistent storage with a 7-day validity period | Store fixed parameters such as global default rule base versions and threat intelligence thresholds, preventing variables from resetting with dialogue |
| Maximum context length | 8000–12000 token | Adapt to context transfer requirements for long documents such as blocking logs and false positive reports |
| Retrieval timeout | 60 seconds | Balance log retrieval speed and completeness, avoiding excessive waiting time for a single dialogue turn |
| Historical dialogue reference toggle | Enable automatic association of historical sessions | Support quick retrieval of past rule change records, improving Q&A efficiency |
Three Common Misconfigurations
- Symptom: The interface displays preset global variables as empty, and fixed rule base version parameters cannot be called. Cause: Persistent storage for global variables is not enabled, and only temporary variables within the current dialogue session are retained by default.
- Symptom: In the same dialogue window, knowledge base retrieval response slows as the number of turns increases. Newly opened sessions return to normal speed. Cause: The context length of
messagesis not limited, and excessive accumulated historical logs and rule data increase memory usage. - Symptom: After a tool call returns results, additional natural language explanation content remains attached. Cause: The prompt does not explicitly limit output to only tool call results, or dialogue content filtering rules are not configured.
How to Verify Successful Configuration
- Initiate a multi-turn dialogue that includes preset global variables, and confirm variables are not cleared in subsequent turns.
- Initiate more than 20 consecutive rule query dialogues, and check that response latency does not show a significant upward trend.
- After configuring tool calls, confirm output only includes tool-returned log analysis results, with no additional natural language content.
- After binding
chatId, enter different rule IDs in two separate sessions, and confirm contexts do not interfere with each other.
All configuration values listed here are common starting points, and should be validated against the reader's own sample data and use cases.
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.