What the data for this category looks like
Service subjects for this category include internet product teams, business analysts, and product managers. Daily deliverables include requirement research minutes, PRDs, user story lists, and requirement change orders. Data sources cover customer interview records, ticketing systems, competitor public pages, and analytics dashboards. Update frequency is weekly or per version. The most time-consuming steps are categorizing interview information, confirming boundary conditions, and synchronizing requirement changes. Documents use core fields: business objectives, acceptance criteria, and change records. There are no fixed mandatory units. Only internal team document specifications need to be matched.
Constraints Imposed on Deployment and Upgrade
This category’s documents are primarily text-based business records, updated weekly or per version, with strict requirements for timely change synchronization. Deployment and upgrade links must ensure data storage consistency and access stability. Data sources are diverse and include sensitive business requirement information. Configurations must support permission isolation and reliable backup mechanisms. The most time-consuming change synchronization step relies on stable cache and database connections. Incorrect configuration can lead to loss of requirement records or synchronization delays, causing development rework and schedule delays. Documents have no fixed mandatory units and must adapt to custom field configurations across different teams. Deployment links must reserve flexible parameter adjustment space.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 100–200 concurrent connections | This category’s documents are updated weekly or per version, with moderate concurrent access volume. This value prevents database connection exhaustion and ensures normal reading and writing of requirement documents |
MONGODB_URI | mongodb://[username]:[password]@[host]:[port]/fastgpt?authSource=admin | Core documents such as PRDs and requirement change orders for this category are mostly stored in MongoDB. Ensure connection permissions and database name match to enable cross-version data migration and storage |
REDIS_URL | redis://:[password]@[host]:[port]/0 | Requirement change synchronization and analytics dashboard data caching rely on Redis. Using database 0 avoids cache conflicts with other services and ensures synchronization efficiency |
STORAGE_S3_ENDPOINT | Configure according to the object storage endpoint of your deployment environment | Attachments and interview minutes for daily documents require reliable object storage services. This configuration adapts to storage needs across different cloud environments |
FE_DOMAIN | https://your-fastgpt-domain.com | External link redirects and change notification pushes for the PRD management interface require binding the correct domain name to ensure normal frontend and backend interaction |
FILE_TOKEN_KEY | Randomly generated string of 32 or more characters | Access tokens for requirement documents must be encrypted to prevent unauthorized access to sensitive business requirement information |
Three Common Configuration Mistakes
- After upgrading FastGPT v4.17.0, workflow applications from older versions cannot be imported. The interface displays a database connection error. This occurs when
MONGODB_URIauthentication parameters or database name are not configured correctly, resulting in inconsistent data storage paths between old and new versions and preventing interoperability. - After deployment, the PRD document list fails to load continuously. The interface returns a 503 status code. This occurs when
DB_MAX_LINKis set too low. Concurrent access to requirement documents exhausts database connections, preventing new requests from being responded to. - When using HTTP requests for orchestration, the output does not appear in conversation output results, and the interface returns no content. This occurs when
FE_DOMAINis configured incorrectly, preventing the frontend from receiving interface-returned output data and preventing normal rendering and display.
How to Verify Correct Configuration
- Log in to the FastGPT backend system configuration page, check that
MONGODB_URIandREDIS_URLconfiguration items have no syntax errors, and confirm that the database connection status shows normal. - Upload a test PRD document, confirm that the document can be stored, loaded, and viewed normally, and verify the effectiveness of the
STORAGE_S3_ENDPOINTconfiguration. - Initiate an HTTP orchestration test, enter a test request, confirm that the output returns normally and displays on the conversation interface, verifying the correctness of the
FE_DOMAINconfiguration. - View the update logs of the analytics dashboard, confirm that the synchronization frequency of requirement change orders matches the weekly or per-version update rhythm, and verify the stability of the cache configuration.
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.