What Data Looks Like for This Category
Data for this category originates from design documents, standard instruments, environmental monitoring data, calibration software exports, laboratory information systems, and customer range requirements. Each individual device’s calibration updates its associated data each cycle. Daily documentation includes assembly and commissioning sheets, calibration procedures, original calibration records, error curves, metrology certificates, and software version logs. Data fields include calibration date, standard instrument number, tested device range, error value, and metrology certificate number. Units use standard measurement units for physical quantities such as pressure, temperature, and flow rate.
Constraints Imposed on Tool Calling and Plugins
Since data is updated per device per calibration, tool calling must bind to the device’s unique identifier to prevent cross-device data mixing. Since documents include both structured and unstructured content such as error curves and metrology certificates, plugins must support parsing multi-format documents. Since strict data traceability requirements apply, tool calling must automatically validate the legitimacy of traceability fields such as metrology certificate numbers. Since calibration workflows include multi-point error collection and traceability chain review, tool calling must accommodate extended time-consuming scenarios.
Configuration Settings
Configuration settings are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Set to auto and bind the device unique identifier | Accurately match the calibration records of a single instrument, avoid cross-device data call errors |
| Workflow/API function-call configuration | Enable, specify error curve parsing and metrology certificate verification functions | Adapt to the requirement of parsing multiple types of calibration documents for this category |
| Tool call timeout | 600 seconds | Cover time-consuming processes such as standard instrument connection setup, multi-point error collection, and traceability chain review |
| Custom channel configuration | Calibrate based on actual measurements | Adapt to interface formats of different calibration software and laboratory information systems |
| Maximum single call context | 16000 token | Adapt to the total length requirement of calibration documents for this category |
| Multi-result aggregation logic | Take the top 3 entries sorted by calibration date in descending order | Focus on the latest calibration data, align with the timeliness requirements of metrology traceability |
Three Common Configuration Errors
- Scenario: A call returns an error or empty result after configuring a custom channel. Cause: The interface authentication parameters or field format requirements of the corresponding calibration software are not matched.
- Scenario: Expected calibration record content is not returned after tool calling. Cause: The device unique identifier is not bound, causing the tool to fail to accurately match the corresponding data of a single instrument.
- Scenario: Outputs from multiple AI nodes in a workflow all appear in the final reply. Cause: Pre-output filtering rules for the result aggregation link are not configured, and valid content is not screened based on the timeliness of calibration data.
How to Confirm Configuration Is Complete
- Initiate a test query for the inspection questions of a single instrument, check whether the tool call returns the calibration records of the corresponding device.
- View the tool call logs, confirm that the
toolChoiceandfunctionCallparameters are configured as expected. - Trigger a custom channel call, verify that the interface returned fields include core data for this category such as metrology certificate number and error value.
- Run a workflow that includes multiple knowledge base searches, confirm that only the aggregated calibration data appears in the final reply.
The values provided are common starting points and should be measured against the reader's own samples.