What Data Looks Like for This Category
Data for this category comes primarily from database monitoring systems, operation audit logs, SQL execution plan files, and internal ticketing systems. Daily associated documents include database change orders, slow query performance reports, backup and recovery records, and permission application approval forms. Data updates are triggered by individual database changes or occur daily. Individual data entries include fields such as database instance ID, operation execution time, operation content, and associated ticket number. There is no unified fixed unit; values vary based on data type.
Constraints for Multi-turn Dialogue and Prompt Engineering
Multi-turn dialogue in database operations scenarios requires association with precise fields like database instance ID and ticket number. Conversation context must retain historical interaction identifiers in chatId and messages to avoid mixing consultations across different instances. Data updates occur via change triggers or daily cycles. Prompts must adapt to dynamically updated backup records and slow SQL reports, and automatically pull the latest associated data when a conversation starts. Daily document structures are fixed but include diverse fields. Prompts must explicitly specify extraction of fields such as change order numbers and slow SQL fingerprints to prevent missing critical information. Error outcomes in operations scenarios directly relate to data security. Multi-turn dialogue must limit the context length per interaction to avoid loading redundant data.
Configuration Settings
This configuration guide is written for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Length | 8000–12000 token | Adapts to the single-batch content length of database operations documents, avoiding truncation of critical SQL and change information |
chatId | Bind to database instance ID | Ensures multi-turn dialogue associates historical data for the corresponding instance, preventing cross-instance confusion |
messages | Retain the last 20 interaction records | Covers the complete question chain for operations consultations, such as multi-round troubleshooting steps for slow query locating |
variables | Inject current ticket number and instance ID | Automatically associates internal tickets and database instances corresponding to user consultations, reducing manual input |
| Interaction Timeout | 600 seconds | Adapts to time-consuming operations scenarios such as slow query analysis and backup recovery verification |
| Attachment Upload Limit | 1000 MB | Supports uploading large SQL execution plans and backup log files |
Three Common Misconfigurations
- Phenomenon: Added prompts do not take effect, and the model returns irrelevant content. Cause: The prompt is not injected into the
variablesparameter, or loading is not triggered during conversation initialization. This results in the prompt not being included in the conversation context. - Phenomenon: Conversation records cannot be exported or located to the corresponding storage repository. Cause: No archive rule for conversations associated with
chatIdis configured. The system does not classify and store interaction logs by instance. - Phenomenon: Attachments cannot be uploaded to continue interaction in a conversation. Cause: The attachment upload limit configuration is not adjusted, or the attachment permission for the conversation scenario is not enabled. This prevents recognition of large operation-related files.
How to Verify Successful Configuration
- Initiate a consultation that includes a database instance ID. Check if the conversation context automatically associates historical data for the corresponding instance.
- Upload an SQL execution plan file within the configured limit. Confirm that the conversation can parse the file normally and link it to the current consultation.
- Send a preset test prompt. Check if the model output strictly follows the content format specified by the prompt.
- Initiate multi-round interaction. Check if the last 20 historical records are fully retained and used for subsequent question-and-answer exchanges.
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.