What this category of data looks like
Service inquiry and response data for basic telecommunications operations mainly comes from offline business hall inquiry records, online business hall Q&A repositories, hotline service transcription transcripts, and user ticket systems. Data update cycles are divided into three categories: real-time (new tickets, new inquiries), daily (sync same-day new Q&A content), and monthly (update FAQ categories and business rules). Each data entry includes the following fields: inquiry question, user business identifier, inquiry time, processing result, and completion status. The user business identifier uses a string format. The inquiry time field is precise to the hour and minute. Ticket numbers are combinations of letters and digits.
What constraints these characteristics impose during deployment and upgrade
Multiple heterogeneous data sources require mixed access to structured tickets and unstructured transcription texts during deployment. A multi-format compatible data parsing module must be configured. Real-time updated business data requires the vector database to support incremental refresh. This avoids excessive resource consumption from full synchronization. Fields contain user privacy identifiers. Data desensitization related parameters must be configured during deployment to prevent sensitive information leaks. Telecommunications business documents are typically lengthy. Relevant configurations for long-text processing must be adjusted during deployment to ensure reasonable chunking and indexing. The upgrade process must be compatible with the interface formats of existing ticket systems. This avoids interrupting current inquiry services.
How to set the configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
DB_MAX_LINK | 100–150 | Service inquiry data volume for basic telecommunications operations is large. A sufficient database connection pool must be maintained to support concurrent requests. |
MONGODB_URI | Authorized dedicated instance address | Stores large volumes of service tickets and historical Q&A data. Secure and stable connections must be guaranteed. |
REDIS_URL | Password-protected dedicated cache instance address | Caches high-frequency inquiry questions and user session information to reduce repeated database query pressure. |
FILE_TOKEN_KEY | 32-character random string | Encrypts and desensitizes sensitive fields such as user business identifiers to avoid sensitive information leaks. |
STORAGE_S3_ENDPOINT | Operator internal object storage endpoint address | Stores unstructured data such as inquiry transcription documents and ticket attachments to ensure data storage compliance. |
FE_DOMAIN | Legal domain for internal services or public display | Configures the legal address for frontend access to ensure the service can be properly provided externally. |
Three common mistakes
- Phenomenon: An error occurs when creating a knowledge base after local deployment. Logs show database connection failure. Cause:
MONGODB_URIis not configured correctly, resulting in failed database connection verification. - Phenomenon: A
Cannot read properties of undefinederror appears during workflow operation. Service tickets cannot be processed normally. Cause:FILE_TOKEN_KEYis not configured, so user sensitive fields are not desensitized, and the process reads empty fields to trigger an exception. - Phenomenon: Response latency for high-frequency inquiry questions exceeds reasonable limits. Service lag occurs. Cause:
DB_MAX_LINKis set too low, exhausting the database connection pool and failing to respond to concurrent requests in a timely manner.
How to confirm the configuration is correct
Reference only; verify against the target FastGPT release and deployment documentation.
- Log in to the FastGPT management backend, enter the database connection detection page, and verify that the instances configured with
MONGODB_URIandREDIS_URLcan establish normal connections. - Upload an inquiry transcription document containing a user business identifier. Check whether sensitive fields are automatically encrypted after document upload, and verify that the
FILE_TOKEN_KEYconfiguration takes effect. - Initiate multiple high-frequency inquiry requests. Observe the service response status, confirm that concurrent requests can be processed normally, and verify that the
DB_MAX_LINKconfiguration meets business requirements. - Access the configured
FE_DOMAIN, confirm that the frontend page can load normally and call the backend service inquiry interface, and verify that the domain name configuration is correct.
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 2026-09-28.