What the data for this category looks like
Photovoltaic module encapsulation equipment inspection and maintenance related data comes from cell grading records, glass adhesive film backplane batch ledgers, workshop MES systems, series welding and lamination equipment operation logs, and EL/IV tester output reports. Daily associated documents include component layout diagrams, material batch records, lamination process parameter tables, EL hidden crack diagrams, IV power test reports, insulation voltage withstand test records, and finished product packing lists. Data update frequency: Exclusive records are generated for each component, and batch ledgers are updated synchronously for each raw material batch. Fields include equipment operating duration, test parameter thresholds, material batch numbers, and other relevant items.
What constraints do these characteristics impose on the tool calling and plugins link
The data characteristics of this category impose multiple constraints on the tool calling and plugin workflow. The high-frequency, small-batch update rhythm requires plugins to support low-latency, high-concurrency query requests to prevent single-call timeouts. Multiple types of associated documents and differentiated fields require plugins to support multi-data-source format adaptation, enabling parsing of unstructured data such as layout diagrams and EL hidden crack diagrams, as well as structured ledgers. The requirement to accurately match business fields such as cell gear positions and lamination process parameters means plugins must include built-in parameter verification rules tailored to photovoltaic encapsulation scenarios, ensuring calling parameters align with business fields.
How to set the configuration
This document is written based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Adapt to multi-tool linkage scenarios in equipment inspection Q&A, automatically select the appropriate calling tool |
| Workflow/API function-call configuration | Enabled | Supports structured parameter passing to meet precise field query requirements in photovoltaic encapsulation scenarios |
| Database connection timeout | 600 seconds | Address cross-data-source query delays across MES and tester systems |
| Plugin return result limit | Top 8 entries | Balances query efficiency and information completeness, adapting to the limited information needs of single-component inspection |
| Context window length | 8000–12000 characters | Accommodates multiple types of document content such as EL diagram descriptions and lamination process records |
Three common errors
- Receiving empty results or a
tool_callsformat exception after calling a database plugin. The cause is failure to align with business fields in photovoltaic encapsulation scenarios, with incoming query parameters missing exclusive fields such as cell gear positions and lamination pressure. - Receiving a
400 Messages with role ' ｜format error prompt. The cause is that the role field during plugin calling contains invalid spaces or separators, with special characters in photovoltaic ledgers not filtered out. - No tool call output after local deployment. The cause is failure to configure access permissions for cross-workshop MES systems, or an overly short timeout setting that cannot complete cross-device data retrieval.
How to confirm the configuration is complete
- Initiate a simulated series welding equipment inspection query, verify that the fields returned by the tool call include exclusive business parameters such as cell grading and lamination temperature.
- View the plugin call log, confirm that the role field has no invalid spaces or special characters, complying with the character specifications of photovoltaic ledgers.
- Simulate a cross-data-source query, verify that the database connection timeout adapts to the retrieval delay of cross-workshop systems, and adjust the value as needed.
- Test the structured output after
functionCallis enabled, confirm that returned results can be directly used for maintenance plan generation.
The values provided are common starting points and should be measured against the reader's own samples.