What This Category of Data Looks Like
Reference only; verify against the target FastGPT release and deployment documentation.
What Constraints Do These Characteristics Impose on Deployment and Upgrade
The data characteristics of permissioned file isolation impose multiple constraints on deployment and upgrade workflows. First, documents contain classification level and department permission fields. Integrate internal identity authentication systems during deployment to complete permission mapping. Configure the verification chain linked to REDIS_URL and ROOT_KEY ahead of time to ensure access permission alignment. Second, single document sizes vary widely and updates follow no fixed cycle. Reserve storage resources to support multi-specification documents during deployment. The STORAGE_S3_ENDPOINT configuration must comply with internal object storage access specifications. Third, bind permission isolation rules during initial deployment. Do not alter permission mapping logic arbitrarily during upgrade. Unplanned changes will prevent some users from accessing their permitted documents.
Configuration Settings
| Config Item | Recommended Value | Rationale |
|---|---|---|
REDIS_URL | redis://:custom password@internal Redis address:6379/0 | Stores permission verification sessions and cache. Must integrate with internal Redis clusters to ensure stable reading and writing of permission data |
STORAGE_S3_ENDPOINT | http://internal object storage domain:9000 | Adapts to internal object storage access addresses, used to store permission-isolated documents and index data |
ROOT_KEY | Custom strong random string, minimum 32 characters in length | Serves as the system root permission verification key. Must align with the key of the internal permission management system to prevent unauthorized access |
MONGODB_URI | mongodb://username:password@internal Mongo address:27017/fastgpt?authSource=admin | Stores permission configurations and document metadata. Must configure internal access authentication information |
DB_MAX_LINK | 20–30 | Adapts database connection count for multi-user concurrent access in permission isolation scenarios, avoids connection exhaustion |
FE_DOMAIN | https://exclusive domain of internal Q&A platform | Configures the frontend access domain, ensures the callback address for permission verification complies with internal network security specifications |
Three Common Misconfigurations
- Phenomenon: Unable to insert permission configuration data after Docker deployment. Database connection timeout is displayed on the interface. Cause:
MONGODB_URIwas not configured with an internal address. The container cannot connect to the internal database cluster, resulting in failure to write metadata. - Phenomenon: When processing long permissioned documents, question answering results have content truncation or irrelevant answers. Cause:
DB_MAX_LINKconnection count was not configured properly. Database connections are exhausted during concurrent access, making it impossible to read complete document content. - Phenomenon: Voice publishing function fails to work normally after upgrade. Prompt indicates callback address is unsafe. Cause:
FE_DOMAINconfiguration was not updated from HTTP address to HTTPS address. This does not meet internal network security access requirements.
How to Verify Proper Configuration
- Log in to the permission configuration page in the FastGPT backend, confirm that the bound department and document permission mapping relationship matches internal system requirements.
- Call the internal database test interface to verify the connectivity of
MONGODB_URIandREDIS_URL, ensure there are no connection timeout or authentication failure errors. - Upload a test permissioned document, use test accounts from different departments to access, confirm that only authorized users can view the corresponding content.
- Access the address configured in
FE_DOMAIN, verify that the frontend page loads normally and there are no security certificate related prompts.
The values given 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 2026-09-28.