What data in this category looks like
Data for logistics research reports comes from public statistics released by transportation industry authorities, special reports from third-party logistics consulting firms, and quarterly financial reports and operation announcements of listed logistics companies. Update schedules adjust based on financial report cycles and industry events, with no fixed daily update frequency. Document structures typically include overall industry overviews, operational data for segmented tracks such as express delivery, warehousing, and cross-border logistics, policy interpretations, and enterprise case analysis. Fields cover freight volume, revenue, average delivery cost per order, timeliness, and more. Units are mostly ten thousand tons, hundred million yuan, yuan per order, hours, and similar values. Some documents include embedded structured tables and split multi-chapter content.
What constraints do these characteristics impose on the tool calling and plugins workflow
Data sources are scattered and update schedules are not fixed. Plugins must connect to multiple types of API interfaces and configure incremental pull logic. Documents contain large volumes of structured tables and professional terminology. Tools must support both unstructured text parsing and table data extraction. Field units vary widely. Tool calling must include built-in unit conversion logic to unify output formats. Logistics research reports have high timeliness requirements. Tool calling must set reasonable timeout values to avoid delays. Some data sources require permission verification. Plugins must support configuration of multiple sets of keys and permission parameters.
Configuration settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
PARSE_FILE_MAX_TABLE_ROWS | 500 rows | Freight volume and freight rate tables in logistics research reports often include multi-page detailed data. Exceeding 500 rows easily triggers parsing timeouts |
RECALL_CHUNK_SIZE | 800–1200 characters | Segmented track analysis paragraphs in logistics research reports are mostly 800 to 1200 characters. This length can fully cover a single core analysis segment |
TOOL_CALL_TIMEOUT | 60 seconds | Logistics data APIs need to pull data across multiple sources. 60 seconds covers the response duration of most cross-source calls |
UPLOAD_FILE_ALLOW_EXT | pdf,docx,xlsx,csv | Common formats for logistics research reports are PDF financial reports, Word analysis reports, Excel freight data, and CSV statistical tables |
SIMILARITY_THRESHOLD | Calibrated based on actual testing | Logistics research reports are dense with professional terms. The threshold needs to be adjusted based on actual recall results to filter irrelevant content |
GLOBAL_VAR_PASS_MODE | Pass through request parameters | External calls need to pass global variables such as logistics track keywords and time ranges. This mode is directly compatible with external request parameter formats |
All parameter values provided on this page are common 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 your own samples before finalizing settings.
Three common configuration errors
- The phenomenon: Excel files of logistics research reports are blocked by the system. The cause:
UPLOAD_FILE_ALLOW_EXTis not configured to include xlsx and csv formats, and only pdf and docx formats are enabled. - The phenomenon: An empty error occurs when calling a model connected via OneAPI. The cause: Only the API key is passed, and complete request parameters are not configured. The basic path and version information for model calling are not specified.
- The phenomenon: A parsing error is returned by the text extraction tool. The cause: The
PARSE_FILE_ENABLE_TABLE_EXTRACTconfiguration is not enabled, so structured freight data tables in logistics research reports cannot be extracted.
How to confirm correct configuration
- Upload a test logistics research report file containing a freight volume table. Check whether the parsing result can extract structured data from the table.
- Call the configured tool plugin, pass preset logistics track keywords, and check whether the returned research report content matches the filter conditions.
- Initiate an external interface call, pass preset global variable parameters, and check whether the workflow can correctly use the parameters to complete research report retrieval.
- Test the tool calling process to confirm that the returned results include operational data and analysis content with unified units.
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.