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

The data for glass intelligent due diligence reports comes from three main sources: batch factory inspection reports for architectural glass, on-site

What the Data for This Category Looks Like

The data for glass intelligent due diligence reports comes from three main sources: batch factory inspection reports for architectural glass, on-site inspection records upon delivery, and supply chain traceability ledgers. Data updates coincide with batch deliveries. On-site inspection data updates finish after on-site testing completes. Document structure includes these fields: batch number, thickness (mm), light transmittance (%), impact resistance strength (kJ/m²), manufacturer information, and delivery date.

Constraints Imposed by Data Characteristics on Multi-turn Dialogue and Prompt Engineering

Glass due diligence data includes multiple fields with clear units. Parameters vary significantly across different batches. Explicitly track the current batch number during multi-turn dialogue to avoid mixing parameters from different batches. Document lengths can be substantial, so adapt systems for long-text processing. Specify field units when extracting values to prevent the model from confusing parameters across batches.

Configuration Settings

Configuration ItemRecommended ValueRationale
maxContext8000–12000 charactersA single glass due diligence report is typically around 5000 characters long. This range prevents multi-turn dialogue context from overflowing
UPLOAD_FILE_MAX_SIZE200 MBSingle glass inspection reports are usually under 150 MB. This setting reserves reasonable overhead
PARSE_FILE_TIMEOUT_SECONDS300 secondsLong document parsing needs sufficient time to avoid timeout interruptions
Number of Retrieved EntriesTop 8 entriesGlass due diligence data has many fields. Retrieving enough entries covers core parameters
Similarity Threshold0.75Filters low-match irrelevant documents to ensure accurate extracted data
Reranked Return CountTop 5 entriesPrioritize returning the most relevant inspection reports

The parameter values provided on this page are common starting points for configuration setup. Actual values are affected by material form, data volume and business rules. Each scenario requires individual analysis. Test on your own samples before finalizing settings.

Three Common Configuration Mistakes

  • Omitting the app_id parameter when initiating an OpenAPI dialogue call causes the system to return a 401 Unauthorized error. This occurs because no valid app_id was obtained by creating an application through the corresponding API.
  • Selecting the .zip compressed format when uploading glass inspection reports causes the system to fail to recognize the file. This is because the system only supports .pdf, .xlsx, and .docx formats.
  • After configuring the Ollama model, dialogue calls return no streaming output and empty results. This occurs because the stream parameter switch is not enabled, or the local Ollama service did not correctly expose its port.

How to Verify Proper Configuration

  • Include the app_id and session_id parameters when initiating an OpenAPI call, and check that the return status code is 200 OK.
  • Upload a glass inspection report file, and check that the system returns a parsing success prompt to confirm the file format is supported.
  • Set the stream parameter to true, initiate a dialogue, and check whether streaming output is returned.
  • Assign an independent session_id to each user, and check that conversation histories are not shared across different users.

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.