What this type of data looks like
Data related to equipment check and maintenance for complete vehicle final assembly comes from ERP/MES systems, VIN and configuration systems, tightening tools, EOL inspection lines, and quality traceability systems. Data updates occur per vehicle, in real time, and per shift. Daily documentation includes production orders, VIN lists, assembly work instructions, tightening data, offline inspection reports, rework records, and consistency and release documents. Data fields include 17-digit VIN codes, station numbers, torque values, inspection results, batch numbers, and more. Each vehicle is linked to hundreds of configuration and work records.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering workflow
Mixed-model production tied to individual vehicle VINs requires multi-turn dialogue to bind a unique vehicle identifier via chatId. This prevents mixing of configuration and work data across different vehicles. Real-time updated tightening data and offline inspection reports require dialogue to support real-time data source calls, while limiting the context length of a single dialogue to avoid loading timeouts. The fact that each vehicle links to hundreds of configuration items requires prompts to clearly define the work scope of the current station. This narrows the retrieval scope and avoids interference from irrelevant documents. Shift-updated rework records require dialogue to support data filtering by shift, which improves retrieval targeting.
How to set up configurations
These configurations are based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind the vehicle VIN code as the unique value | Mixed-model production in vehicle final assembly requires distinguishing session contexts for different vehicles to avoid configuration confusion |
messages | Retain the first 10 rounds of dialogue context | The final assembly work process for a single vehicle typically does not exceed 10 stations; overly long context will lead to retrieval redundancy |
variables | Inject the current station number and shift time | Match work instructions and real-time production data for the corresponding station to narrow the retrieval scope |
| Maximum context length | 800–1200 characters | Adapt to the work data volume of a single vehicle to prevent loading timeouts |
| Single retrieval limit | Top 5 matching documents | Avoid excessive irrelevant data interfering with accurate judgment during equipment check and maintenance |
| Question optimization | Calibrate based on actual testing | Adapt to professional terminology in final assembly workshops to improve retrieval matching accuracy |
Three common configuration errors
- The dialogue opening screen does not show preset quick buttons for check questions. Users cannot send standardized questions with one click. This occurs when preset question buttons are not configured in the front end, and button click events are not bound to the dialogue sending interface.
- An error is returned when calling the dialogue API to upload assembly work instruction files. This occurs when the file upload permission for the dialogue API is not enabled, and allowed file types and size limits are not specified.
- Historical dialogue records are lost after refreshing the dialogue page accessed without logging in. This occurs when a temporary session identifier is not bound via
chatId, and session data is not stored in temporary cache.
How to confirm proper configuration
- Enter a test VIN code to start a dialogue, check that the context automatically binds the configuration data of the corresponding vehicle, with no cross-vehicle data confusion.
- Click the preset quick buttons for check questions, confirm that the dialogue automatically sends the question and returns matching work instruction content.
- Upload a test tightening data file, check that the dialogue API can normally receive and parse the file content.
- Start a dialogue without logging in, then refresh the page, check that historical dialogue records are retained and the session identifier has not expired.
The values provided here are common starting points and should be measured against the user's own samples.