What the data for this category looks like
Carbon steel data primarily comes from domestic spot trading channels, steel mill published ex-factory price portals, and industry association statistical platforms. Spot quote data is updated daily, steel mill ex-factory prices are updated weekly or on demand, and industry research reports are released monthly or quarterly. Document structures include short-form spot quote tables (containing date, product, specification, origin, unit price, and price change amount), steel mill production scheduling documents, and long-form industry supply and demand analysis reports. Core fields include steel specifications (e.g. φ16mm HRB400), with a uniform pricing unit of yuan/ton.
What constraints these characteristics impose on multi-turn dialogue and prompt engineering
The differing update frequencies of carbon steel data require distinguishing real-time spot data from historical research report data in multi-turn dialogue. Data priority must be clearly defined in prompts. The wide range of document lengths—from tens of lines of quote tables to tens of thousands of characters of research reports—requires adapting different context loading strategies to avoid information truncation or redundancy. Multiple fields and easily confused specification parameters require prompt engineering to clearly specify parameter matching rules, reducing misjudgments of similar specifications by the model. Progressive investment research questions across multiple turns require retaining historical specifications and user question details in the context, avoiding repeated guidance.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Segment Length | 800–1200 characters | Carbon steel data includes short spot quote tables (tens of lines) and long industry research reports (tens of thousands of characters). This segment length balances information integrity and context loading efficiency |
| Number of Recalled Entries | Top 6–8 entries | Carbon steel data includes multiple fields such as specification, origin, unit price, and price change amount. A sufficient number of recalled entries is needed to cover all dimensions of user questions |
| Similarity Threshold | 0.72–0.78 | Carbon steel specification parameters (e.g. φ16mm HRB400 and φ18mm HRB400) have high similarity. A threshold that is too low will mix in irrelevant data, while a threshold that is too high will miss valid matching content |
maxContext | 12000–15000 characters | Multi-turn carbon steel investment research dialogues often involve progressive questions (e.g. confirming specification first, then asking about price trends). This window can retain 3-5 rounds of key context |
UPLOAD_FILE_MAX_SIZE | 500 MB | Single large industry research reports or batch spot data files have large file sizes. This upper limit meets conventional upload requirements |
multiTurnHistoryMaxCount | 4–6 turns | Carbon steel investment research dialogues have strong context relevance. Retaining 4-6 turns avoids repeated questions without increasing model inference load |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to conduct testing on one’s own samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: The uploaded carbon steel spot quote table is not included in the model's statistical analysis during multi-turn dialogue, and the results do not include detailed data from the table. Cause: The Segment Length setting is too large, causing the short table to be truncated, or the Number of Recalled Entries setting is too low, failing to recall key fields in the table.
- Phenomenon: A 400 invalid image error is returned when calling the multimodal API, and the conversation log shows image parameter verification failed. Cause: No adaptation is made to file formats and resolutions of carbon steel industry product photos, quote screenshots, etc., exceeding the platform's supported range.
- Phenomenon: The model repeatedly asks for steel specifications during multi-turn dialogue, and cannot continue using parameter information from the previous round of questions. Cause: The
multiTurnHistoryMaxCountsetting is too low, ormaxContextdoes not cover historical context, causing the model to lose previously recorded specification parameters.
How to Confirm Correct Configuration
- Upload one carbon steel spot quote table and one industry research report, check that the parsed segments cover all fields without truncation or redundant content.
- Initiate a progressive question (e.g. first ask for the spot price of φ16mm HRB400, then ask about price trends next week), check that the model continues using the previously specified specification parameters without repeated confirmation.
- Call the API to initiate a multimodal dialogue, upload carbon steel industry product photos and quote screenshots, check that the interface returns no 400 errors and the answer includes key information from the images.
- Adjust the Similarity Threshold, then test the question "What is the price of φ18mm HRB400", check that the recalled results only include data for the corresponding specification, with no irrelevant entries mixed in.
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.