Multi-turn Dialogue and Prompt Engineering for Automated Equipment Intelligent Due Diligence Reports

Automated equipment intelligent due diligence data draws from four primary sources: equipment ledger management systems, on-site operation and

What the data for this category looks like

Automated equipment intelligent due diligence data draws from four primary sources: equipment ledger management systems, on-site operation and maintenance logs, third-party quality inspection reports, and industry compliance standard documents. Data updates follow three cycles:

  • Basic equipment ledgers are synchronized and updated quarterly
  • Operation and maintenance logs generate in real time based on equipment operating hours
  • Quality inspection reports update after each batch of equipment testing completes

A single due diligence document typically includes five core modules: equipment model, serial number, rated operating parameters, maintenance cycle records, and compliance inspection items. All parameter fields require clear units: rated power uses kW, cumulative operating duration uses hours, and compliance inspection items use pass/fail as judgment values.

What constraints these characteristics impose on multi-turn dialogue and prompt engineering

Multi-source, heterogeneous equipment data requires multi-turn dialogue to bind the unique identifier of the target device, preventing parameter mixing across devices. Real-time updated operation and maintenance logs require prompts to include instructions for querying the latest data, ensuring due diligence reports reflect current status. Fixed document field structures require prompts to explicitly specify extraction of only target field content, eliminating irrelevant information interference. Unit differences across data sources require prompts to include built-in unit conversion rules to standardize output formats. Large total character counts for single-device due diligence data require limiting the context window per dialogue round, avoiding exceeding the model’s token limit.

How to set the configurations

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersCovers key content of the full ledger, operation and maintenance logs, and quality inspection reports for a single device, avoiding context truncation
systemPromptBind device serial number, only return due diligence parameters for the specified device, unify unit formatsResolves mixing of data from multiple devices and inconsistent units, ensuring accurate output content
ragTopKTop 6–8 entriesCovers core fields of equipment due diligence, avoiding redundant context caused by retrieving too many irrelevant documents
sessionHistoryMaxCountTop 3 rounds of dialogueFocuses on follow-up questioning logic for the current device, excluding irrelevant context from other devices in historical sessions
functionCallEnableEnabledSupports triggering tool calls to obtain the latest operation and maintenance data, adapting to real-time updated log data
responseModeStreaming outputDue diligence report content is lengthy, streaming output reduces user perceived waiting time
PARSE_FILE_TIMEOUT_SECONDS600 secondsAdapts to the parsing duration of multiple equipment documents, avoiding no interface return due to parsing timeout

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three common mistakes

  • Custom trigger questions do not take effect, and no dialog box pops up when clicked. The cause is that the customTriggerPrompt configuration item is not enabled, and the trigger rule for the corresponding session entry is not bound.
  • Calling the online dialogue interface returns status code 504 with no valid return data. The cause is that the PARSE_FILE_TIMEOUT_SECONDS setting is too small, and the parsing of equipment operation and maintenance log documents is not completed before the timeout.
  • After upgrading to version v4.8.10, the AI dialogue node in the workflow cannot obtain the variable content output by the code run. The cause is that the workflowVarSync configuration item is not enabled, causing the variable transfer link to be interrupted.

How to confirm the configuration is complete

  • Enter a question bound to the specified device serial number, and verify that the returned results only include maintenance and parameter information for the corresponding device, with no data content from other devices.
  • Call the online dialogue interface, check that the response status code is 200, and that the choices field includes segmented streaming output text content.
  • In the workflow of version v4.8.10, trigger the AI dialogue after running the code node, and verify that the output results of the code run are loaded in the variable panel.
  • Click the custom trigger question button, and check that the popped dialog box has pre-filled the question content corresponding to the configuration.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.