Tool Calling and Plugins for Coking Coal Research Report Retrieval

Coking coal research report data mainly comes from national coking coal industry associations, major domestic commodity exchanges, leading securities

What the data for this category looks like

Coking coal research report data mainly comes from national coking coal industry associations, major domestic commodity exchanges, leading securities firm industry research teams, and public disclosure announcements from listed coal enterprises. Data update rhythms fall into three categories: industry supply and demand and price data are updated daily or weekly, policy dynamics are updated in real time upon release, and special securities research reports are released monthly or at major event nodes. Document structures typically include core supply and demand indicators (output, port inventory, import volume), price indices (unit: yuan per ton), downstream steel and thermal power industry demand calculations, policy interpretation modules, and some reports include regional transportation cost calculation tables.

What constraints do these characteristics impose on tool calling and plugins?

The varied update rhythms of multi-source data for coking coal research reports require tool calling to support configuring trigger timing by data source type. Price and supply and demand fields use fixed units of yuan per ton and ten thousand tons, so field validation rules must be preset in plugins to filter returned content with non-standard units. Linked analysis of downstream steel and thermal power industries requires synchronous association of knowledge base fragments of corresponding industries during tool calling; complete analysis cannot rely solely on coking coal’s own data. Single research report text is lengthy, so the total amount of recalled text per single call must be limited to avoid exceeding the model’s context window.

How to Configure the Settings

Configuration ItemRecommended ValueRationale
recall_counttop 8The core content of a single coking coal research report is approximately 1,000–2,000 characters. Recalling 8 entries covers the core information for a single round of questions without exceeding the model’s context window
field_validation_switchEnabledPrice and supply and demand fields of coking coal research reports use fixed units of yuan per ton and ten thousand tons. Enabling this rule filters returned content that does not comply with unit standards
PARSE_FILE_TIMEOUT_SECONDS900 secondsSome batch research report parsing requires long processing times; 900 seconds covers the processing flow for most large documents
context_association_recallEnabled, associate steel/thermal power knowledge basesDownstream demand for coking coal is strongly correlated with the steel and thermal power industries. Corresponding knowledge base fragments from these fields must be recalled synchronously to complete comprehensive analysis
text_segment_length1000–1200 charactersCore data paragraphs of coking coal research reports are mostly around 1,000 characters. Segmentation improves recall accuracy
trigger_modeTriggered by user questionsMost user questions involve real-time coking coal price and supply and demand analysis needs. Triggering by questions ensures the return of the latest updated data

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 case-by-case analysis, and testing on local samples is recommended before finalizing settings.

Three Common Misconfigurations

  • Issue: After calling the coking coal research report plugin, returned price data has inconsistent units, with some displayed as yuan per kilogram. Cause: The field_validation_switch was not enabled, and no unit validation rules for coking coal research reports were preset, resulting in returned content with non-standard units.
  • Issue: When using the text content extraction plugin in a workflow and configuring chat history: 6 entries, the extracted text fragments do not include downstream industry linked analysis content. Cause: Context association recall was not enabled in the plugin configuration; only text fragments from coking coal’s own data were extracted, and knowledge base content from the steel and thermal power fields was not synchronously associated.
  • Issue: A 504 Gateway Timeout error is returned when calling batch coking coal research report parsing. Cause: The configured PARSE_FILE_TIMEOUT_SECONDS value is insufficient to cover the parsing time for batch documents.

How to Confirm the Configuration is Complete

  • Submit a question related to coking coal prices, check whether the units of price fields in returned results are consistent, and verify that field validation rules are active.
  • Test multimodal calls for charts attached to coking coal research reports, confirm there are no format error prompts, and verify that image format configuration meets requirements.
  • Check workflow running logs to confirm that plugin trigger timing is synchronized with user questions, and that context association recall has been properly enabled.
  • Test batch parsing of multiple coking coal research reports, confirm that parsing time does not exceed the configured timeout parameter.

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.