What the Data for This Category Looks Like
The data for coking coal financing daily reports comes primarily from public ledgers of a national coal trading exchange, spot financing transaction records at major northern ports, and the financing section of daily research reports from futures companies. Data updates are completed within 1.5 hours after market close on trading days; no updates occur on non-trading days. Each daily report document is categorized by coking coal specifications, with each entry containing fields including origin, specification model, daily financing transaction average price, financing term, total transaction volume, fund provider quotation range, and more. The unit for average transaction price is yuan per ton, financing term is measured in calendar days, and total transaction volume is measured in tons.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The categorized and updated nature of coking coal financing daily reports requires multi-turn dialogue to first guide users to confirm the origin and specification of coking coal, to avoid cross-category matching errors. Data is only updated on trading days, so prompts must explicitly limit the conversation scope to valid data released on the current day, to prevent returning outdated information. Fields include clear units, so prompts must mandate that corresponding units are included in output results to avoid confusion. Entries are dispersed and each individual data point has a small volume, so multi-turn dialogue must use context association to recall entries for the corresponding specification, reduce repeated inquiries, and control the number of recalled entries per request to avoid exceeding context window limits.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | A single coking coal financing daily report has multiple entries, so context for multi-turn dialogue must be retained without exceeding model window limits |
responseFormat | Mandatory JSON format, including three required fields: specification, financingPrice, unit | Coking coal financing data has clear specifications, prices, and units; a standardized format facilitates subsequent business processing |
json_schema | {"type":"object","properties":{"specification":{"type":"string"},"financingPrice":{"type":"number"},"unit":{"type":"string"}},"required":["specification","financingPrice","unit"]} | Matches user requirements for custom JSON response formatting; explicit schema standardizes output content |
recallCount | Top 3 entries | Valid entries in coking coal financing daily reports are categorized by specification; recalling 3 entries at a time covers common user specification query needs and avoids information overload |
similarityThreshold | 0.75–0.85 | Coking coal specification names have high similarity, so a reasonable threshold must be set to filter irrelevant entries and ensure accurate recall |
historyAutoSave | Enabled, save all conversation turns | Multi-turn dialogue must retain context such as the coking coal specification specified by the user, to avoid repeated inquiries |
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. Specific issues require individual analysis, and it is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Returned responses do not follow the specified JSON format and lack required fields. Cause: The
json_schemaparameter is not configured correctly, or prompts do not enforce adherence to the schema format. - Phenomenon: Multi-turn dialogue execution speed is slower than workflow debugging for the same task. Cause: Multi-turn dialogue requires loading and associating historical context, and each call must re-retrieve and match financing daily report data, while workflow debugging runs only once without context association.
- Phenomenon: Auto-reply content is empty when opening a historical conversation for the second time. Cause: The
historyAutoSaveparameter is not enabled, or the configured history save threshold is too high, causing context such as the coking coal specification specified by the user to not be saved.
How to Confirm Proper Configuration
- Manually import a test coking coal financing daily report dataset, initiate an initial conversation to inquire about the financing price for a specific specification, and verify the reply includes the specified fields and units.
- Initiate two consecutive conversations: first specify the coking coal specification and origin, then inquire about the corresponding financing term, and confirm the second reply automatically associates the previously specified parameters without requiring repeated explanation.
- View the conversation history record to confirm that context and user-specified parameters from all turns are correctly saved.
- Adjust the similarity threshold parameter, initiate a query with vague specification terms, and verify the number of recalled entries meets business 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.