What the data for this category looks like
Data sources for this category include cell capacity grading data, MES systems, welding equipment, torque tools, BMS software version records, and EOL test benches. Data is generated once per battery pack or energy storage cabinet, and updated synchronously each time the BMS software version changes. Daily documents include grouping rules, BOM lists, welding and torque records, BMS flashing records, insulation and voltage withstand reports, EOL test reports, and system configuration lists. Data fields cover cell capacity grading capacity, welding torque values, BMS version numbers, insulation resistance values, charge and discharge test parameters, as well as exclusive identifiers and corresponding numerical units for different equipment and processes.
Constraints on Tool Calling and Plugins from These Data Characteristics
The multi-source heterogeneous data characteristics of this category require the tool calling workflow to adapt to access protocols for different data sources. Examples include connecting to MES system APIs, serial port data from welding equipment, and log export formats from BMS software. High-frequency updated single-piece production data requires the tool calling trigger logic to match production beat. This avoids data lag caused by overly long call intervals, or exceeding system load from overly frequent calls. Multiple types of business documents require plugins to support parsing files in different formats such as BOM lists, insulation reports, and EOL test data. This ensures full-process data can be retrieved and called. Exclusive fields and units require accurate mapping of business field identifiers during tool calling. This prevents data parsing errors caused by parameter mismatches.
Configuration Settings
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool calling mode | Select toolChoice or functionCall based on business scenario | Adapts to different tool calling requirements. toolChoice is used to specify calling a single tool, and functionCall is used for multi-tool linkage |
| Plugin data source adaptation | Configure based on the actual connected data source type | Matches access protocols for different data sources such as MES, welding equipment, and BMS software |
| Trigger timing configuration | Trigger at 600–900 second intervals | Matches the production cycle per pack or cabinet, avoids data lag or excessive system load |
| Context length limit | 1500–2000 token | Carries multi-process business documents and real-time data, avoids context overflow |
| Number of results returned | Top 8 entries | Covers key quality problem-related data, avoids interference from redundant information |
| Timeout threshold | 600 seconds | Adapts to complex multi-source data pulling and parsing processes, avoids timeouts caused by large data volumes |
Three Common Misconfigurations
- Phenomenon: Imported insulation and voltage withstand PDF reports cannot be correctly parsed into retrievable content. Cause: Plugins adapted to the document format are not configured, and only general parsing rules are used. This fails to recognize the exclusive report layout structure of this category.
- Phenomenon: Welding torque record fields pulled after tool calling are empty. Cause: The exclusive field identifiers of torque tools are not correctly mapped, leading to failure to match business fields during data parsing.
- Phenomenon: Concurrency limit error is triggered when tool calls are initiated consecutively. Cause: The trigger interval configured to match the production beat is not used, leading to a large number of tool call requests being initiated in a short period.
How to Verify Correct Configuration
- Upload a BMS flashing record document for this category. Confirm correct extraction of the version number and flashing time fields following tool calling.
- Initiate one tool call. Confirm the number of returned results matches the configured value, and covers at least 3 types of core business data.
- Simulate a single production data pulling process. Confirm tool calling duration does not exceed the configured timeout threshold.
- Initiate 3 consecutive tool calls. Confirm the system processes concurrent requests normally without returning errors.
The values listed here are common starting points, and should be evaluated against samples from actual operational use cases.