What This Category’s Data Looks Like
This category’s data is sourced from daily production and compliance documents of bakeries, cookie, instant noodle, and frozen pastry factories. It includes formulas and feeding lists, production records, baking/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 equipment, ovens/frying lines, laboratory testing systems, and food traceability ledgers. Data updates follow production batches, shifts, or daily schedules. Core fields include allergen material lists, production parameters, test results, and shelf life information.
Constraints on Tool Calling and Plugins
This category’s data updates by production batch, shift, or daily. Tool calling must bind to real-time data sources to pull the latest batch data related to formulas, inspections, and quotations. The allergen material list is a core verification field. Tool calling must accurately match the corresponding fields to avoid missing compliance information. Baking/frying timing curve data in production records requires plugins to support reading segmented timing data fragments. Multi-document verification requires pulling multiple data types at once, such as ERP quotation data and laboratory test reports. Tool calling must support parallel pulling of content from different data sources.
Configuration Settings
The following configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapts to bid document preparation scenarios with parallel multi-tool calls |
| Workflow/API function-call configuration | Force trigger | Ensures compliance data tools are invoked, covering the allergen verification step |
| Parallel call limit | 2 | Matches the need to pull formula and inspection data simultaneously for this category |
| Data source pull range | Last 7 days of batch data | Aligns with data update frequency by batch and shift |
| Response timeout setting | 600 seconds | Reserves time for batch retrieval of production timing data |
| Context window length | 8000–12000 token | Accommodates full content of multiple bid-related documents |
Three Common Configuration Mistakes
- A 429 status code is returned during a call. The symptom is an interface error reporting too many requests. The cause is that parallel call count exceeds the configured limit.
- Embedded links in streaming output only work on the current page and cannot jump. The symptom is no new page opening when clicking the link. The cause is that the new window trigger rule for the link is not configured.
- Some areas fail to complete API calls. The symptom is a connection timeout error during the call. The cause is that applicable network access rules are not configured.
How to Verify Successful Configuration
- Trigger a bid document generation workflow, and check if the data pulled by tool calling matches the production records of the current bidding batch.
- Review the tool call log to confirm that the
toolChoiceandfunctionCallparameters follow the preset rules. - Test embedded links in streaming output to confirm jump behavior meets business requirements.
- Cross-check the allergen information returned by the tool to confirm it matches records in the data source.
The values provided are common starting points and should be evaluated against the reader’s own samples.