What the data for this category looks like
Data sources include device manufacturer factory quality inspection reports, on-site operation and maintenance working hour logs, second-hand equipment transaction filing documents, and ownership registration documents. Update rhythms are divided into static historical data and dynamic operation and maintenance data. Static data has a longer update cycle. Dynamic data syncs in real time or daily as equipment runs. Document structures are mostly mixed structured tables and unstructured text and images. They include fields such as unique device identification number, model specification, factory date, cumulative operating hours, maintenance cycle, and mortgage filing status. Field units include hours (for cumulative operating hours), yuan (for equipment valuation and transaction amounts), and emission standard levels (marked according to national grading).
Constraints imposed on multi-turn dialogue and prompt engineering
The mixed attributes of static and dynamic data require multi-turn dialogue to distinguish between historical stock queries and real-time operation data calls, to avoid returning expired information. The mixed structured and unstructured document structure requires prompt engineering to clearly distinguish between structured field extraction rules and summary logic for non-text content, while adapting to parsing requirements for image-text inputs such as nameplate photos and maintenance manuals. Fields with specific units and graded markings require prompt engineering to enforce unit matching rules, to avoid issues like mixed duration units or missing valuation units. The strong binding requirement for unique device identification numbers requires multi-turn dialogue context to continuously associate the currently queried device ID, to prevent data misalignment across devices.
Configuration Settings
| Configuration Item | Recommended Range | Rationale |
|---|---|---|
maxContext | 8000–16000 characters | Construction machinery due diligence involves multi-turn context association of device information, ownership status, and operation records, requiring sufficient window space to retain historical dialogue and device binding information |
UPLOAD_FILE_MAX_SIZE | 100–1000 MB | Construction machinery due diligence documents include large files such as high-definition device photos and long-cycle operation logs, requiring support for larger single-file uploads |
recall_top_k | Top 8–12 entries | Construction machinery data has rich fields, requiring sufficient structured and unstructured data recall to support due diligence report generation, while controlling the proportion of redundant information |
PROMPT_TEMPLATE_LANGUAGE | zh-CN or en-US, configured as needed | Some cross-border construction machinery due diligence requires English prompts to adapt to overseas data sources, while Chinese is used for domestic standard scenarios |
PARSE_FILE_TIMEOUT_SECONDS | 300–600 seconds | Parsing large operation logs and multi-page device archive documents takes longer, requiring extended timeout thresholds to avoid parsing interruptions |
enable_image_understanding | Enabled | Construction machinery due diligence often includes image data such as device nameplates and on-site working condition photos, requiring image parsing functionality to extract key numbers and model information |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test on your own samples before finalizing.
Three Common Configuration Errors
- Symptom: A
413 Request Entity Too Largeerror is returned when uploading construction machinery-related files via the dialogue interface. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration was not adjusted, and the uploaded operation log or factory report exceeds the default file size limit. - Symptom: After switching devices in multi-turn dialogue queries, previous device due diligence data is still returned. Cause: The current queried unique device identification ID was not bound in the context window, and the context was not updated with the target device information.
- Symptom: After configuring prompts to English, domestic construction machinery emission standard grading fields cannot be correctly identified. Cause: English mapping rules for exclusive construction machinery industry terms were not added, and the prompts did not clearly adapt to English expressions of domestic industry standards.
- Symptom: After uploading both device photos and operation files, the parsing result only contains file content with no image extraction information. Cause: The
enable_image_understandingconfiguration was not enabled, and the image parsing function was not activated.
How to Verify Proper Configuration
- Initiate a multi-turn dialogue for a single device, consecutively query the device number, cumulative operating hours, and mortgage status fields, confirm that each reply associates information for the same device with no cross-device data misalignment.
- Upload a single construction machinery factory report and device nameplate photo, check if the parsing result includes both structured table data and key nameplate information extracted from the image.
- Adjust the prompt language configuration, initiate queries for the corresponding scenario, confirm that the returned field descriptions and terms comply with the target language's industry specifications.
- Upload an operation log file with a size close to the configured upper limit, confirm that the file parsing is not interrupted by timeout, and the returned parsing content fully covers the core information of the log.
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.