This guide is written for FastGPT v4.17.0.
What this category of data looks like
Production ledger data for general mechanical equipment assembly typically comes from PLM systems, ERP systems, MES systems, assembly tool collection terminals, test benches, and customer technical agreements. Data updates occur per assembled device or order batch.
Daily documents include assembly process cards, multi-level BOM lists, torque tightening records, gap adjustment records, commissioning reports, factory inspection certificates, and packing lists. Document fields cover equipment model, component serial number, tightening torque value (unit: newton meters), gap adjustment value (unit: millimeters), test parameters, and inspection results. These records span the full process of component fitting and debugging.
Constraints on workflow orchestration
The characteristics of general mechanical equipment assembly ledger data create multiple constraints for workflow orchestration. Multi-level BOMs and scattered assembly records require cross-system data pulling. Workflows must support parallel calls to multiple data sources. Ledger data volume per single device increases with assembly steps. Large node data structures may exceed AI context length. Configure reasonable context limits. Update cadence per order or device requires workflows to run automatically based on trigger conditions. Numeric fields with units such as torque and gap require workflows to preserve field formats and units during summarization to avoid data distortion. General mechanical equipment assembly is mostly custom, multi-variety production, unlike single-part machining. Ledger data must cover full process records of component fitting and debugging.
Configuration Settings
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
variables | Bind data source variables for assembly BOMs, torque records, and inspection certificates | Adapt to multi-source ledger data pulling requirements for general mechanical equipment assembly |
nodeId | Bind workflow nodes for BOM verification, torque summarization, and report generation in sequence | Arrange task nodes in assembly process order, ensure data flow logic matches assembly procedures |
| Single-call token limit | 8000–12000 tokens | Match average scale of ledger data per single device, avoid context overflow |
| Parallel data source calls | First 3 | Balance data pulling efficiency and system load, adapt to three data source types: PLM, MES, and assembly tools |
| Automatic variable update trigger | Based on assembly node completion status | Match update cadence per single device, ensure ledger data syncs in real time with assembly progress |
| Context window cropping strategy | Retain the most recent 10 assembly records | Focus on core data of current assembly batch, avoid interference from redundant information on summarization results |
Three Common Configuration Errors
- Symptom: After workflow execution, the
variablesfield does not update automatically. Checking system logs shows variable values match preset initial values with no changes. Cause: The variable update node is not bound to the completion event of the corresponding assembly node. Only manual trigger update logic is configured. - Symptom: When calling multi-level BOM data, the system returns an error prompt about "context length exceeded". Cause: No reasonable single-call token limit is configured. Large node data is not split and cropped for processing.
- Symptom: When counting assembly procedure calls by category, after the tool node finishes executing, the global counter variable does not update synchronously. Cause: The
variablesparameter is not bound in the tool node's output configuration. The count result is not written to the global variable pool.
How to Confirm Correct Configuration
- Trigger a simulated assembly node completion event. Check workflow execution logs. Confirm that ledger data in the
variablesparameter has synced updates according to assembly progress. - Import complete multi-level BOM data for a single device. Test workflow execution. Confirm no context length overflow errors occur.
- Check each workflow node corresponding to
nodeIdin sequence. Confirm data flow order matches assembly procedures, with no misplaced nodes or missing data. - View the automatically generated ledger report. Confirm fields like torque and gap retain original units of newton meters and millimeters, along with corresponding numeric formats.
The values provided here are common starting points. Evaluate them against your own specific samples and requirements.