What This Category of Data Looks Like
Core data for this category comes from customer drawings, special characteristic lists, ERP/MES systems, measuring and inspection tools, equipment process parameters, and supplier quality certificates. Daily maintained documents include control plans, process flowcharts, work instructions, first-piece and patrol inspection records, SPC reports, PPAP materials, and 8D reports. Data is updated per batch, per shift, or via continuous collection. Fields include special characteristic codes, process parameter thresholds, batch numbers, test values, and other relevant fields. Units include millimeters, newton meters, seconds, and other professional industrial units.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Dispersed, diverse data sources require tool plugins to support connections to multiple system types and document formats. High-frequency data updates require real-time tool calling, to avoid using outdated process parameters. Complex document structures and strict constraints from vehicle customers require parameter verification before tool calls, to confirm compliance with special characteristic requirements. High-volume manufacturing scenarios require tools to support batch data query and result aggregation, to match multi-process process Q&A needs.
Configuration Settings
This configuration applies to FastGPT v4.17.0. Specific parameters can be adjusted based on actual deployment environments.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Tool Call Trigger Mode | toolChoice set to auto | Adapt to dynamic calls of different data sources, cover multiple types of process documents including control plans and SPC reports |
| Context Window Size | 8000–12000 token | Accommodate complete control plans and PPAP materials, avoid truncation of critical special characteristic information |
| Single Tool Call Timeout | 15–20 seconds | Match the standard response time of ERP/MES system data queries, avoid prolonged waiting |
| Tool Call Retry Count | 2 times | Address occasional failures in measuring and inspection tool data transmission, balance success rate and waiting cost |
| Result Recall Count | Top 3–5 entries | Focus on the most relevant process specification and technical standard content, avoid interference from redundant information |
| Parameter Validation Rule | Match customer special characteristic fields | Ensure called parameters comply with vehicle customer quality system requirements |
Three Common Misconfigurations
- Phenomenon: A "workflow verification failed, please check for missing or empty fields, and proper wiring" prompt appears when using a database connection plugin to connect to PostgreSQL. Cause: The mapping relationship between database tables and process document fields is not properly configured, and the format of special characteristic fields for automotive component data is not matched.
- Phenomenon: Tool calls take more than 10 seconds. Cause: No reasonable timeout period is set, or multiple historical process documents exceeding context capacity are called.
- Phenomenon: Tool call judgment logic is unstable. Some professional process questions do not trigger tool calls. Cause: The tool call trigger threshold is set incorrectly, and the semantic similarity interval of professional automotive component documents is not matched.
How to Confirm Proper Configuration
- Submit questions containing specific process parameters, check whether tool calls are triggered and corresponding content fragments from process documents are returned.
- Simulate a scenario where measuring and inspection tool data transmission fails, check whether tool calls are automatically retried according to the configured retry count.
- Review tool call logs, confirm that the parameter validation rule correctly filters input content that does not meet special characteristic requirements.
- Test calls for different types of documents, such as control plans and SPC reports, confirm that relevant technical standard content is returned normally.
The values provided are common starting points and should be measured against the reader's own samples.