What the data for this category looks like
Data for this category originates from Prometheus, Zabbix, cloud monitoring, application logs, and CMDB systems. Maintained daily documents include monitoring metric lists, alert rule files, on-duty manuals, and alert change records. Data updates occur daily or immediately after each alert rule change. Document structures primarily use structured fields, including metric names, threshold ranges, alert levels, notification targets, trigger conditions, and additional relevant fields. Common units are standard operations and maintenance (O&M) scenario units such as percentage, millisecond, and call count.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Since data sources include structured metric data from multiple O&M systems and unstructured on-duty manuals, multi-turn dialogue must support importing mixed-format context. Alert rules and change records are updated frequently, so dialogue context must have a defined valid duration to prevent loading expired configurations that cause review bias. Document fields contain O&M-specific terms such as thresholds, alert levels, and notification links. Prompts must preconfigure professional vocabulary mappings for O&M scenarios to ensure review logic aligns with business rules. Alert change records also have numerous associated fields, so multi-turn dialogue context windows must support retrieval grouped by change batches to avoid redundant information interfering with review results.
How to configure settings
This page applies to FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Generate a unique identifier per alert change batch | Distinguish context for different review tasks, avoid cross-task information interference |
messages | Retain the most recent 15 interaction records per single-turn dialogue | Balance context completeness and loading efficiency, adapt to frequently updated alert data |
variables | Bind the current project's monitoring metrics and alert rule sets | Ensure the data source called by dialogue matches the current review scenario |
| Context expiration time | 3600 seconds | Adapt to the daily update frequency of alert configurations, avoid loading expired configurations |
| Prompt template | Cover metric threshold verification, alert noise cleanup, and notification link verification | Cover the three most time-consuming review links for this category |
Three common configuration errors
- Phenomenon: A configured dialogue role does not take effect, and the prompt does not match the O&M scenario. Cause: The role preset is not bound to the
variablesparameter, so the dialogue does not load the preset professional term mapping rules. - Phenomenon: The interface displays a 503 error when uploading alert configuration documents, but backend logs show the file upload was successful. Cause: The context length of
messagesis not limited, causing the context queue to overflow after file parsing and trigger current limiting. - Phenomenon: When introducing a knowledge base to retrieve image addresses, the strict question-answering template returns no answer. Cause: The strict question-answering template only matches text fields, and does not adapt to unstructured data sources such as image addresses.
How to confirm successful configuration
- Initiate a simulated alert change review, check whether the dialogue response content includes the current project's monitoring metrics and alert rules.
- View session logs to confirm that cross-batch context mixing does not occur across different review tasks.
- Upload test alert change records, check whether the dialogue triggers the preset review link verification logic.
- Adjust the context expiration time parameter, verify that expired configurations are no longer loaded into the dialogue context.
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.