What Data for This Category Includes
This category covers metrology-related documents from entities such as enterprise metrology rooms and CNAS-accredited laboratories. Documents include gauge ledgers, calibration plans, calibration certificates, periodic inspection records, original test records, reference material ledgers, and deviation handling documents. Data sources include internal enterprise metrology management systems, external calibration institution certificates, standard instrument data, LIMS systems, and environmental monitoring records. Data updates are triggered by calibration cycles, completion of single tests, or abnormal events. Individual records contain fields such as instrument ID, calibration date, validity period, measurement uncertainty, and application scope. Some fields must comply with legal metrological traceability requirements.
Constraints on Tool Calling and Plugins
The data characteristics of this category impose clear constraints on the tool calling and plugins workflow. Multi-source heterogeneous data sources require plugins to support inputs in different formats, including metrology management systems, LIMS, and external calibration certificates. Plugins must support structured field extraction and unstructured certificate text parsing. The update rhythm of data, based on calibration cycles, tests, or abnormal events, requires tool calling to support both scheduled pulling and real-time triggering modes. This ensures data timeliness. Fields must comply with metrological traceability requirements. Ledger summaries output by tools must include mandatory fields such as instrument ID, calibration validity period, and uncertainty. Core metrological information must not be omitted or altered.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | Specify custom functions | Limit the scope of tool calls, only execute custom tools related to metrology ledgers and calibration certificates |
| Workflow/API function-call configuration | Only call metrology data parsing and traceability verification functions | Avoid calling unrelated tools, ensure output complies with metrological traceability and CNAS system requirements |
| Single tool call data volume limit | Top 100 records | Match the conventional batch processing scale of metrology ledgers, avoid system overload |
| Timeout threshold | 300 seconds | Adapt to the complex processing duration of calibration certificate parsing and multi-source data stitching |
| Maximum text extraction length | 800–1200 characters | Adapt to the conventional text length of calibration certificates and original test records |
| Trigger mode | Dual modes: scheduled pulling + real-time triggering | Adapt to different data update rhythms based on calibration cycles, single tests, and abnormal events |
Configuration values are common starting points and should be measured against your own samples.
Three Common Configuration Mistakes
- Phenomenon: A 400 Invalid JSON payload received. Unknown name error is returned when calling the text extraction tool. Cause: Request parameters were not strictly encapsulated according to the field structure of metrology documents, and unexpected custom fields were passed additionally.
- Phenomenon: Contextually associated data cannot be obtained when calling a configured workflow via API. Cause: Context identifiers were not correctly carried in request parameters, or the trigger mode was not configured to support context passing.
- Phenomenon: The scope of the
modelparameter cannot be clearly identified when calling the workflow API. Cause: The task model for corresponding metrology data processing was not bound in the workflow configuration, leading to ambiguous parameter logic.
How to Verify Successful Configuration
- Pass sample data from standard gauge ledgers to initiate a call, verify that the fields in the returned result match the preset list of metrology document fields.
- Configure a scheduled trigger task, verify that the system automatically pulls data and generates summary content according to the preset update rhythm.
- Pass test data containing non-compliant fields, confirm that the tool call triggers the compliance verification process.
- Call the API with a context identifier, verify that the returned result can associate contextual information from corresponding historical metrology records.
This document is written based on the tool calling and plugins functionality of FastGPT v4.17.0