What the data for this category looks like
This category of data comes from enterprise metrology rooms, metrology management systems of CNAS-accredited laboratories, external calibration institution certificates, Laboratory Information Management System (LIMS) platforms, and environmental monitoring equipment. Daily documents include measuring tool ledgers, calibration plans, calibration certificates, interim verification records, original test records, reference material ledgers, and deviation disposal documents. Fields include instrument number, calibration date, measurement uncertainty, validity period, and others. Some fields use dedicated units: μm for uncertainty, days for calibration cycle. Data updates are triggered by calibration cycles, single test results, or abnormal events, with no fixed batch update rhythm.
Constraints Imposed by These Characteristics on the Multi-turn Dialogue and Prompt Words Link
Data sources are scattered and formats vary. Multi-turn dialogue must gradually guide users to clarify document types, and avoid confusing field rules for calibration certificates and original test records. Fields have dedicated units, so prompt words must strictly match standard terminology in the metrology industry. Otherwise, audit results will deviate. Updates have no fixed rhythm, so multi-turn dialogue must support real-time pulling of the latest ledgers and calibration data, and cannot rely on static knowledge base caches. Traceability chains involve multi-link associations. Multi-turn interaction must gradually sort out the relationship between misaligned instruments and corresponding test batches, and gradually supplement context information during dialogue.
Configuration Settings
The configuration on this page is based on FastGPT v4.17.0, adapted for the inspection and process record audit scenario for measuring instruments and laboratory management. The chatId binding rule must be configured synchronously to ensure session isolation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context per single dialogue | 8000–12000 token | Matches the total content length of multiple metrology documents involved in a single audit round |
| Number of multi-turn dialogue history entries to retain | First 10 entries | Covers the complete audit process within a single calibration cycle, preventing context loss |
variables | Bind measuring tool ledger ID, calibration certificate number | Accurately locate target business data, reducing ineffective retrieval scope |
| Maximum file upload size | 1000 MB | Adapts to the maximum storage requirements for single calibration certificates and original test records |
| Maximum response waiting time | 60 seconds | Meets computation and data pulling time required for complex traceability queries |
messages parameter format | Follow the standard user-assistant-user dialogue structure | Ensures multi-turn dialogue context is correctly identified and transmitted |
Three Common Misconfigurations
- An error occurs when calling the document parsing tool after enabling file upload in a workflow, with a prompt indicating invalid file path. The cause is that locally deployed storage mounting rules are not correctly configured, making it impossible to obtain the actual storage address of uploaded files.
- Generated dialogue replies do not associate with metrology documents in the knowledge base. The cause is that retrieved business data fragments such as calibration certificates and ledgers are not correctly injected into the
messagesparameter, preventing the AI from calling corresponding business information. - An uncaught system exception occurs in private deployment scenarios. The cause is that database connection parameters related to
variablesin the configuration file are incorrectly configured, making it impossible to pull basic ledger data for measuring instruments.
How to Confirm Successful Configuration
- Upload a standard calibration certificate file, check whether the file is successfully stored and can be read by the document parsing tool, and return parsed text containing calibration date and uncertainty.
- Initiate a multi-turn dialogue that includes a specified measuring tool ledger ID, confirm that the AI can correctly pull associated data such as the calibration period and interim verification records of the corresponding instrument.
- Check whether the
variablesparameter is bound to standard fields of the metrology management system, ensuring that business context information is automatically included in the dialogue. - Test a complex traceability query, such as tracing the test batches affected by a misaligned instrument, confirm that the multi-turn dialogue can gradually sort out associated original records and release status.
The values provided are common starting points and should be measured against the reader's own samples.