What the data for this category looks like
Data for refractory material intelligent due diligence reports comes primarily from three source types: raw material batch inspection certificates, kiln operation logs, and finished product performance test reports. Data update rhythm follows production batches. The single batch report generation cycle is 1-3 working days. Documents are mostly multi-page PDFs or structured Excel files. They include fields such as Al₂O₃ content, bulk density, compressive strength, firing temperature, with units including g/cm³, MPa, ℃ and other professional measurement standards. Some reports include batch traceability information.
What constraints these characteristics impose on workflow orchestration
Since refractory material data is updated discretely by production batch, workflows must support triggering via single file upload to adapt to batched data update rhythms. Multiple heterogeneous data sources require parallel pull nodes for integration, to avoid excessive delays caused by serial processes. Professional fields and units require workflows to include format verification nodes, preventing non-standard data from entering subsequent analysis links. Mixed structured and unstructured document formats require configuring appropriate parsing modes to ensure both component data and process descriptions can be extracted correctly.
Configuration recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 300-600 seconds | Refractory material inspection reports are mostly multi-page PDFs containing multiple sets of test data, resulting in long parsing times |
WORKFLOW_TRIGGER_TYPE | Triggered by file upload | Adapts to the data update rhythm of uploading data by production batch for refractory materials |
FILE_PARSE_MODE | Structured table parsing + text extraction | Adapts to report formats that mix component tables and process descriptions |
MAX_RETRIES | 2-3 times | Addresses scenarios where batch data uploads are interrupted or parsing fails temporarily |
OUTPUT_FILTER_RULE | Only retain the output of the last AI node | Filters thinking content and intermediate results from prior conversations, only outputting the final due diligence report |
UPLOAD_FILE_MAX_SIZE | 500 MB | Adapts to the file size after merging multiple batches of inspection reports and kiln logs |
The parameter values provided on this page are common 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
- Workflow runs successfully in debugging but still displays the think tag content from AI conversation nodes in the production environment. The cause is that the content filtering rule was only configured in the debugging environment and not synchronized to the production environment.
- Workflow returns a
413 Request Entity Too Largeerror after triggering. The cause is that theUPLOAD_FILE_MAX_SIZEconfiguration value is smaller than the actual file size of the uploaded refractory material report. - Workflow output includes results from multiple AI conversation nodes. The cause is that the
OUTPUT_FILTER_RULEwas not configured to only retain the output of the last node, resulting in all intermediate conversation results being concatenated into the output.
How to confirm the configuration is correct
- Upload a standard refractory material inspection report to trigger the workflow, check whether the parsing result includes correct professional fields and corresponding units.
- View the workflow run log, confirm that only the output of the last AI conversation node is retained, and no think tag content is present.
- Upload a test file with a volume exceeding the conventional threshold, confirm that the workflow does not trigger an error due to upload restrictions.
- Simulate an upload interruption and retry, confirm that the workflow executes retry actions according to the configured retry count.
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.