What This Category’s Data Looks Like
Data for logistics intelligent due diligence reports comes primarily from logistics enterprise waybill management systems, warehouse WMS systems, trunk transportation GPS positioning terminals, and customs declaration documents. Update cycles vary significantly: waybill information updates in real time as orders move through workflows. Warehouse inventory data synchronizes every hour. Customs declaration documents update in batches per declaration batches. Most documents are structured tables or semi-structured reports. Core fields include waybill numbers, sender and recipient subject information, transportation route nodes, timeliness commitments, expense details, and exception handling records. Common industry units such as kilograms, cubic meters, kilometers, and RMB yuan are used for most fields.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The multi-source heterogeneous nature and varying update cycles of logistics due diligence data require clear timeliness boundary differentiation for different data sources in multi-turn dialogue. Prompts must specify prioritization of real-time waybill data from the last 72 hours. This avoids use of expired historical warehouse snapshots. Many structured fields use clear unit systems. Prompts must enforce returned results match specified fields and units. This prevents unit confusion. Document volumes are large. Multi-turn dialogue must support segmented retrieval and context association. This prevents loss of critical information due to context overflow. Users may ask questions across modules. Conversation history must retain the data source scope of prior queries. This ensures consistency in subsequent responses.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 8000–12000 characters | Logistics due diligence reports include multiple waybills, warehouse data, and associated documents. Sufficient historical dialogue and retrieved context must be retained |
UPLOAD_FILE_MAX_SIZE | 500 MB | Packaged files for a single logistics due diligence report typically include multiple attachments. Large single-file upload support is required |
PARSE_FILE_TIMEOUT_SECONDS | 1200 seconds | Parsing large logistics structured reports requires extended processing time. This avoids parsing failures due to timeout |
Recall Count | Top 8 entries | Key logistics data is scattered across different transportation nodes and modules. Sufficient retrieved document fragments are needed to cover core content |
Similarity Threshold | 0.75 | Logistics field semantic similarity is relatively high. A reasonable threshold filters irrelevant historical document fragments |
Reranked Return Count | Top 5 entries | Only the most relevant core data is retained for responses. This avoids information overload that impacts model output |
The parameter values provided on this page are common recommended starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require case-by-case analysis. Test against relevant samples before finalizing settings.
Three Common Misconfigurations
- Phenomenon: After invoking a workflow, the conversation log shows as empty and no return results generate. Cause: The
LOG_SAVE_ENABLEparameter is not configured to enabled. Conversation records are not persistently stored. - Phenomenon: In a Docker deployment environment, the model test interface returns success and background response logs exist, but workflow conversation shows a failure. Cause: The workflow node is not correctly associated with the configured model key. Or the
WORKFLOW_MODEL_DEFAULTparameter is not set to specify the default model. - Phenomenon: When using the same prompt to ask questions, returned logistics due diligence results have missing fields or incorrect units. Cause: The prompt does not clearly specify required logistics fields and unit rules. The model does not strictly follow data format requirements.
How to Verify Correct Configuration
- Upload a standard logistics due diligence report. Check that the uploaded file size complies with configured limits. Confirm the parsing task does not trigger a timeout error.
- Launch multi-turn cross-module logistics data queries. Check that conversation history is fully retained. Confirm the context configuration covers the current conversation's content length.
- Adjust the similarity threshold and recall count. Launch multiple queries. Verify returned result relevance and quantity meet business requirements.
- Test model invocation for workflow nodes. Confirm model associations and default configurations are correct. Avoid invocation failure prompts.
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.