What the data for this category looks like
The core data for this category comes from daily production and management processes of bread and pastry, biscuit, instant noodle, and frozen pastry factories. Daily documents include formulas and feeding lists, production records, baking or steaming curves, metal detection records, cleaning and disinfection records, and factory inspection reports. Data sources cover raw and auxiliary material qualification certificates, ERP/MES systems, weighing systems, oven or frying line equipment, laboratory test results, and food traceability ledgers. Update frequency follows per batch, per shift, or daily. Core fields include allergen material identification, baking/frying window parameters, packaging dates, shelf life, and other related items.
Constraints imposed by these characteristics during deployment and upgrade
Data for this category comes from multiple sources and has volatile update frequencies. Formulas, production records, and other data from each production batch must be synced to the knowledge base in real time. The deployment phase must support bulk access to data from multiple systems and incremental updates. Frequent product line changes require frequent knowledge base adjustments, so the upgrade phase must support temporarily added process parameter configurations without requiring a full knowledge base rebuild. The accuracy of fields related to allergen materials and foreign matter control directly relates to compliance risks. During deployment, field validation and context association logic must be strengthened to prevent Q&A responses from returning incorrect compliance-related content. Additionally, the ready-to-eat product attribute requires the confidence level of Q&A results to match production standards. During deployment, output of low-confidence results must be restricted.
Recommended configuration settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
DB_MAX_LINK | 20–30 | Adapts to concurrent access demands of multi-source production data and prevents database connection exhaustion |
STORAGE_S3_ENDPOINT | Factory intranet storage server address | Stores large-volume documents such as production records and test reports to ensure intranet data security |
REDIS_URL | Intranet Redis instance address, with cache duration set to 3600 seconds | Caches frequently queried process parameters and compliance requirements to reduce repeated data reads |
PG_URL | PostgreSQL database address linked to ERP/MES systems | Syncs structured data such as raw and auxiliary material qualification certificates and production ledgers |
FILE_TOKEN_KEY | Key consistent with the intranet file system | Securely retrieves attached content such as formula documents and test reports |
ROOT_KEY | Intranet system administrator key | Ensures access security of the configuration page and restricts unauthorized personnel from modifying knowledge base configurations |
Three common mistakes
- The symptom is that workflow calls to MCP tools return an error stating the global variable token field is empty. The cause is that the switch for passing global variables to tools was not enabled in the workflow configuration, and the token parameter was not bound to the tool call chain.
- The symptom is that frequent database connection timeout errors occur when
DB_MAX_LINKis set to below 10. The cause is that the concurrent access volume of multi-source production data for this category is high, and an excessively low connection limit causes request queuing and timeouts. - The symptom is that after updating aiproxy, existing model channels cannot be called normally, returning an interface authentication failure. The cause is that interface addresses and key parameters for model channels were not updated synchronously, and parameter verification rules of the new aiproxy version were not adapted.
How to confirm successful configuration
- Run an allergen material process Q&A for the current production batch, and verify that the returned results match the content of the corresponding batch's formula documents.
- Trigger a test workflow call to an MCP tool, and confirm that the global variable token can be properly passed to the tool chain.
- Check the database connection status, and confirm that the current connection count does not exceed the configured upper limit.
- Upload a new production test report, and confirm that the file content can be read normally through the configured storage address.
The values provided here are common starting points, and should be evaluated against the reader's own samples.