What the data for this category looks like
Core documents for this category include formulas and dosing 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, production equipment, laboratory test results, and food traceability ledgers. Updates run per production batch, shift, or daily. Fields include material names, dosing quantities, process parameters, test results, batch numbers, and additional relevant fields. Units involve weight, temperature, time, shelf life duration, and other standard measurement units.
What constraints these characteristics impose on workflow orchestration
Frequent line changes and diverse formulas require workflows to quickly switch data sources for different products. Multi-source data updates follow inconsistent schedules, so batch-triggered node scheduling must be configured. Strict allergen and foreign matter control requires workflows to include cross-document verification steps. The ready-to-eat nature of products increases the impact of errors, so historical test data must be automatically linked during the exception report drafting stage. Differences in document field units require workflows to support unit standardization conversion to prevent verification failures.
How to configure the workflow
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Map fields per production batch | Adapt to field differences in multi-source data for this category, ensure parameters align with actual production data |
nodeId | Bind the initialization trigger node | Implement automatic session startup logic, no manual user trigger required |
| Single search limit | Top 10 entries | Match cross-document verification needs, avoid redundant data consuming tokens |
| Maximum context | 3000–4000 tokens | Adapt to the content volume of combined documents such as formulas and test reports |
| Timeout setting | 600 seconds | Avoid waiting timeouts when retrieving multi-source data |
| Reference limit | 8 entries | Control information density for exception report drafting, meet reading and typesetting requirements |
Three common configuration errors
- Issue: Cannot generate a JSON format file when exporting the workflow. Cause: The JSON permission switch for workflow export is not enabled, or there are unsaved invalid parameters in node configuration.
- Issue: Knowledge base search returns more results than the set reference limit, causing token overflow. Cause: Search filtering rules are not correctly linked to product batches, and full knowledge base content is mistakenly included in the search scope.
- Issue: No automatic reply after session startup, manual triggering is required. Cause: The initialization trigger logic bound to
nodeIdis not correctly configured, only the trigger condition for user-sent messages is bound.
How to verify a correct configuration
- Manually trigger a workflow using a batch number, check if the corresponding product’s formula and test documents are automatically retrieved.
- Export the workflow file, confirm the generated format includes a parsable JSON structure.
- Simulate a user opening the session window, verify that the workflow starts automatically and returns preliminary content.
- Adjust the reference limit parameter, check if the number of search return results matches the set value.
The provided values are common starting points and should be evaluated against the reader’s own samples.