What the data for this category looks like
Steel trade category data primarily comes from enterprise inventory and sales systems, direct mill quotation sheets, downstream purchase ledgers, and logistics tracking documents. Data update cycles vary: spot quotations update daily, inventory ledgers sync in real time with inbound and outbound operations, and purchase contract data is entered upon transaction completion. Most documents use structured table formats, with fields including steel grade, nominal diameter, yield strength, delivery location, and settlement method. Common units are tons, yuan per ton, and delivery cycle (days).
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
Steel trade data has scattered sources and significant differences in update cycles. Most documents use structured business fields with strict unit requirements, creating multiple constraints for multi-turn dialogue and prompt configuration. First, standard terminology for terms such as steel grade and nominal diameter must be clearly defined in prompts to avoid ambiguous dialogue. Second, spot quotations update in real time and inventory changes dynamically with transactions. Multi-turn dialogue must support real-time calls to backend business data; static knowledge bases cannot cover real-time changing business information. Additionally, field units must strictly match business logic. Prompts must embed unit verification logic to prevent errors caused by mismatched units for quantities and unit prices.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Steel trade business data includes contracts, quotations, and inventory information for multiple transactions. The configuration must cover context for at least 3 complete transactions to avoid losing key business fields |
Recall count | Top 3–5 entries | Steel trade has dense professional terminology. Too many retrieved entries will introduce redundant information and interfere with dialogue logic judgment |
PARSE_FILE_TIMEOUT_SECONDS | 300 seconds | Steel trade contracts and logistics documents are multi-page structured files, requiring longer parsing time than general scenarios |
UPLOAD_FILE_MAX_SIZE | 500 MB | Bulk inventory ledgers, annual purchase contracts, and other files have large sizes, requiring support for large file uploads |
Similarity threshold | 0.75–0.85 | Professional terms in steel trade have high similarity. The threshold must filter low-match redundant knowledge base content to ensure accurate retrieved information |
maxHistory | Top 10–15 turns | Steel trade transaction processes involve multiple rounds of confirmation. Retaining too much history increases the burden of context processing |
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 targeted analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Phenomenon: Calling the POST interface for deleting conversation records returns a
200status code, but conversation records are not cleared. Cause: TheconversationIdfield is not carried correctly, or the interface permission configuration does not enable delete operation permissions. - Phenomenon: After uploading a bulk steel trade inventory Excel file, parsing fails and a
413status code is returned. Cause: TheUPLOAD_FILE_MAX_SIZEconfiguration is not set to a value adapted for large files, causing the file to exceed platform limits. - Phenomenon: After enabling the
guess you may askfunction, no relevant recommended questions are returned after the conversation ends. Cause: The system prompt does not embed the logic for generating recommended questions, or themaxContextconfiguration is too small to extract core business keywords from the conversation.
How to Verify Configuration Correctness
- Initiate a simulated conversation, input a query for steel grade and specifications, and verify that the returned context includes the latest quotation or inventory data to confirm the configuration meets business requirements.
- Upload an Excel contract file with a volume matching the business scenario, check if the parsing result includes all structured fields to confirm the configuration adapts to file size and parsing duration.
- Call the delete conversation record interface with the correct
conversationIdfield, verify the interface return and the actual state of the conversation records to confirm the interface permission and field configuration are correct. - Enable the
guess you may askfunction, complete a complete business conversation, and check if relevant business recommended questions are generated to confirm the configuration meets conversation process requirements.
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.