What this category of data looks like
Data sources for special steel due diligence include factory material certificates from domestic special steel enterprises, re-inspection reports from third-party testing institutions, industry supply and demand databases, and customs import and export declaration data. Update frequency varies by source:
- Factory material certificates update in real time with production batches
- Third-party re-inspection reports update upon completion of single-batch testing
- Industry supply and demand data updates weekly
- Customs import and export data updates monthly
Document structures typically include batch identifiers, smelting process parameters, chemical composition test items, mechanical performance test items, order-related information, and compliance certification marks. Fields include batch number, smelting process type, carbon content, chromium content, tensile strength, yield strength, and others. Mechanical performance parameters use megapascals as their unit. Chemical composition parameters use milligrams per kilogram as their unit.
Constraints for Multi-turn Dialogue and Prompt Engineering
The multi-source, variable update rate nature of special steel data requires multi-turn dialogue to bind batch identifiers as context anchors. This prevents confusion between test data from different production batches. The subdivided professional fields require prompt templates to preset standard definitions of industry terminology. This ensures the model interprets chemical composition and mechanical performance parameters in line with industry specifications. The fixed document structure requires multi-turn dialogue to retrieve data in a logical order: batch, process, then performance. This avoids information chaos across batches or modules. Differences in data update cycles across sources require dialogue flows to support on-demand switching of data call ranges. This adapts to retrieval needs for both real-time batch data and periodic industry data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | The combined length of special steel material certificates and industry data is large. Sufficient context is needed to accommodate multi-turn dialogue history and all retrieved professional data |
recallTopK | 8–12 entries | Special steel data fields are subdivided and highly specialized. Excessive recall introduces irrelevant information. Insufficient recall fails to cover all necessary test items |
similarityThreshold | 0.75–0.85 | A large number of professional terms exist in special steel data. A high similarity threshold is required to filter non-corresponding batch or irrelevant test data |
promptTemplate | Industry-specific template bound with batch identifier | The template must strictly associate {batch_id} batch data. This avoids confusion of test information from different production batches and meets due diligence accuracy requirements |
customUidEnable | Enabled | Supports isolating sessions via custom user ID. This adapts to session management needs for multiple customers or multiple batches of due diligence |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Special steel material certificates typically contain multiple pages of test parameters, leading to longer parsing times. This setting avoids timeout interrupting the parsing process |
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 specific analysis, and it is recommended to test on your own samples before finalizing.
Three Common Misconfigurations
- Phenomenon: After calling the API with
customUidspecified, the get session history interface returns all session records instead of only those associated with the correspondingcustomUid. Cause:customUidis not used as an index field for session storage, or session filtering rules are not configured. - Phenomenon: Multi-turn dialogue generates special steel performance parameter charts with incorrect units, such as marking tensile strength with a non-standard unit. Cause: The prompt template does not preset industry-specific unit specifications for special steel, and does not enforce mandatory verification of parameter units.
- Phenomenon: The AI dialogue node in a workflow outputs content containing
thinktags, even when a code node is configured to remove these tags. Cause: The code node is not bound to the official execution link of the workflow, or the regular expression does not correctly match the format of thethinktags.
How to Verify Proper Configuration
- Initiate a test dialogue, specify a custom
customUid, call the get session history interface, and verify that the returned results only include session records associated with thatcustomUid. - Upload a single-batch special steel material certificate, initiate a multi-turn dialogue, and verify that the length of historical records and retrieved documents accommodated by the context window falls within the range configured for
maxContext. - Trigger workflow execution, check the output content of the AI dialogue node, and verify that
thinktags have been removed and parameter units conform to special steel industry specifications. - Adjust the value of
similarityThreshold, test the relevance of retrieval results, and confirm that the threshold value adapts to the current characteristics of special steel data.
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.