Tool Calling and Plugins for Duty-Free Research Report Retrieval

Duty-free research report data mainly comes from industry tracking reports from securities research institutes, operational announcements publicly

What the Data for This Category Looks Like

Duty-free research report data mainly comes from industry tracking reports from securities research institutes, operational announcements publicly disclosed by duty-free operators, monthly statistical data from industry associations, and policy documents from customs and cultural tourism departments. Updates follow no fixed cycle, and are released in real time alongside policy adjustments, quarterly financial report launches, and major industry events.

Document structures include structured operational data tables, unstructured policy interpretation text, and specialized analysis for segmented categories such as offshore duty-free and in-city duty-free. Fields cover policy effective time, passenger trips, sales revenue, average transaction value, duty-free allowance, and other metrics. Units include ten thousand person-times, hundred million yuan, yuan, and others.

Constraints on Tool Calling and Plugins Posed by These Characteristics

Decentralized data sources require tool calling to support multi-data source aggregation configuration, to avoid information gaps from single data sources. Irregular update cycles require plugins to support incremental update trigger mechanisms, ensuring retrieved research reports are up to date.

Documents contain both structured and unstructured content, requiring tool calling to distinguish parsing modes: extract specified fields from structured data, and perform full-text recall on unstructured text. Duty-free policies have regional and timeliness attributes, requiring plugins to support filtering retrieval results by region and policy effective time, to improve matching accuracy.

Configuration Recommendations

Configuration ItemRecommended ValueRationale
ragRecallTopKTop 10-15 entriesDuty-free research reports contain multi-dimensional segmented content. Too many recall results will exceed the context window limit, while too few will miss specialized policies and operational data
chunkSize800-1200 charactersProfessional analysis paragraphs in duty-free research reports are relatively long. Too short segmentation will split policy logic, while too long will reduce keyword recall accuracy
pluginTriggerThreshold0.75-0.85Duty-free research reports contain a large number of technical terms and industry-specific expressions. A threshold that is too low will introduce irrelevant general industry text, while a threshold that is too high will miss content related to segmented policies
apiChatIdTransmitAlways transmitCross-session research report retrieval requires retaining context association, to ensure the coherence and consistency of tool calling
pluginExecutionTimeout300 secondsMulti-source research report aggregation requires calling multiple data source interfaces. An overly short timeout will interrupt valid retrieval processes

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 individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Phenomenon: After calling a tool, the conversation details page only displays the final reply, and does not show the plugin's calling parameters and return results. Reason: The pluginLogEnable configuration item is not enabled, causing the system to not retain complete link logs for tool calls.
  • Phenomenon: When calling the same research report retrieval tool across sessions, previous retrieval contexts cannot be associated, and returned results have duplicates or deviations. Reason: apiChatIdTransmit is not configured to always transmit, causing the session identifier to not be correctly carried.
  • Phenomenon: After deploying a custom Python plugin, the calling interface returns a 400 Bad Request error code. Reason: The entry function and dependency package versions of the Python script are not correctly specified in the plugin configuration, causing the execution environment to fail to meet expected requirements.

How to Verify Successful Configuration

  • Navigate to the application's configuration page, check if pluginLogEnable is enabled, initiate a tool call, and verify if the conversation details page displays complete parameters and return logs for the plugin call.
  • Carry a custom chatId parameter when calling the tool, initiate two retrieval requests on the same topic, and check if the second retrieval can associate the context from the first retrieval, to verify that session transmission is effective.
  • Upload a test duty-free research report document, check if the parsed fields include preset content such as policy interpretations and passenger flow data, to confirm that the parsing mode configuration is correct.
  • Trigger plugin execution, check if the task status is completed within 300 seconds with no timeout errors, to confirm that the timeout configuration is reasonable.

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.