Model Access and Configuration for Coking Coal Financing Daily Reports

What this category’s data looks like

Data for coking coal financing daily reports comes from daily submitted data from domestic main producing area spot traders, futures delivery warehouses, and local coal industry associations. Full data for the prior trading day is updated by 17:00 each trading day. Documents use structured table formatting, and include fields such as report date, coking coal origin, delivery warehouse name, pledgeable inventory, number of same-day financing pledge transactions, average pledge size per transaction, and comprehensive financing fee rate. Corresponding units for these fields are ten thousand tons, transactions, ten thousand yuan, and basis points.

What constraints these characteristics impose on model access and configuration

Structured table document formatting requires configuring structured parsing parameters during model access. This prevents tables from being split into scattered text, which causes field loss. Fixed daily data updates require configuring scheduled trigger synchronization tasks. Match these tasks to the data update time window to avoid calling outdated data. Multi-dimensional field settings require configuring dimension filtering parameters. This ensures only coking coal category-related information is retrieved during searches, avoiding interference from cross-category data. Fields with specific units require configuring field mapping rules. This prevents the model from confusing values with different units, reducing response accuracy.

How to set the configurations

The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on independent samples before finalizing settings.

Three common mistakes

• Symptom: A 400 Bad Request error is returned when running the workflow, with the prompt "invalid field combination". Cause: The RECALL_FILTER_DIMENSIONS parameter is not configured, and non-coking coal category financing data is recalled, causing the model to fail to match the preset field format.
• Symptom: After configuring multiple model channels, the preset high-priority channel is not used as expected during calls. Cause: The MODEL_CHANNEL_PRIORITY parameter is not set correctly, or two channels for the same model are configured repeatedly, causing priority conflicts.
• Symptom: The content returned by the knowledge base does not include visual display content, only plain text. Cause: The visual parsing switch for structured content is not enabled, causing non-plain text content such as tables to fail to be correctly retrieved and displayed.

How to confirm the configuration is complete

• Upload a test coking coal financing daily report table to the knowledge base, and check whether the parsed result preserves the original table structure and field units.
• Trigger a workflow run, and check whether the run logs contain no 400 or 504 error codes, and that the recalled data only includes coking coal category-related information.
• After configuring the model channel priority, initiate multiple retrieval calls, and confirm that the call proportion of the high-priority channel matches the expected settings.
• Use the preset coking coal financing daily report test dataset, compare the response speed and answer accuracy of different models to verify the configuration effect.
• Enter a retrieval instruction containing specific dimensions, and confirm that the returned content includes the preset core coking coal financing fields, with no redundant irrelevant information.

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.