What the data for this category looks like
This category of data is primarily sourced from internal hotline ticket systems, audited standard response libraries, and user inquiry logs. Data is synchronized daily in the early morning to pull archived ticket data from the current day. Standard responses requiring urgent updates may be synchronized manually. Each individual data entry’s document structure includes fields such as inquiry question, standard response content, ticket tags, acceptance time, completion result, and ticket number. Inquiry questions and standard responses are stored as plain text. Ticket tags are classification strings. Acceptance time uses standard timestamp formatting.
Constraints imposed by these characteristics on deployment and upgrade
Because data sources are internal sensitive business systems, deployments must configure database and storage parameters accessible only within the internal network to prevent data leaks. The daily scheduled update cycle requires that upgrade processes retain synchronization task configurations to avoid interrupted data synchronization, which would lead to delayed template updates. The multi-field document structure requires clear field mapping rules during deployment to ensure the completeness and accuracy of recalled data. Sensitive internal inquiry and ticket data requires enabling storage encryption during deployment to comply with internal compliance requirements. Upgrades must maintain compatibility with older versions of field mapping rules to prevent historical synchronized data from becoming unrecognizable.
How to configure settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
MONGODB_URI | mongodb://internal MongoDB address:27017/fastgpt?authSource=admin | Stores structured ticket and response template data; internal deployment aligns with internal network security requirements |
REDIS_URL | redis://internal Redis address:6379/0 | Caches synchronized response template data and session information to ensure internal network access speed and data security |
STORAGE_S3_ENDPOINT | internal object storage service address | Stores archived ticket attachments and large-volume response template documents; aligns with internal compliant storage rules |
DB_MAX_LINK | 20–30 | Balances database concurrent access and resource usage; adapts to the database connection limit of internal systems |
ROOT_KEY | strong key generated per internal operation and maintenance specifications | Validates highest-level access to the management platform to prevent unauthorized access to internal configurations |
FE_DOMAIN | internal frontend access domain name | Configures the access address for the frontend service; aligns with internal office network access rules |
Three common errors
- Symptom: Importing the response template synchronization plugin returns
internal server error. Cause: Internal network access permissions forMONGODB_URIorREDIS_URLare not configured correctly, preventing the service from connecting to internal data sources normally. - Symptom: Model vendor icons fail to load after a version upgrade. Cause: The
FE_DOMAINconfiguration value is not updated synchronously, so the frontend cannot retrieve the correct static resource access address. - Symptom: Knowledge base disk usage continues to exceed expected levels. Cause: The automatic cleanup policy for archived data is not enabled, or the storage path mapping for
STORAGE_S3_ENDPOINTis not configured correctly, resulting in unreleased fragmented file blocks and embedding vectors.
How to confirm the configuration is complete
- Run an internal network connectivity test to confirm that the services corresponding to
MONGODB_URIandREDIS_URLcan be accessed normally. - Manually trigger a response template data synchronization task, and check that the synchronization log has no errors and successfully imports historical ticket data.
- Access the frontend management page to confirm that model vendor icons load normally, with no resource loading failure prompts.
- View the storage monitoring panel to confirm that the storage paths for response template data and embedding vectors meet the requirements of the configured
STORAGE_S3_ENDPOINT.
The values provided are common starting points and should be evaluated against samples from the deploying environment.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.