What the data for this category looks like
Data sources for shipping port intelligent due diligence reports include internal port operation management systems, customs clearance systems, vessel traffic management systems, and industry statistical platforms. Data update rhythms are divided into three categories: Real-time operation data (berthing/departure, loading/unloading progress) updates every 15 minutes. Statistical data (monthly throughput) updates monthly. Static data (berth parameters) updates quarterly.
The document structure includes structured datasets and unstructured attachments. Structured datasets are split into multiple data tables by operation period and statistical dimensions. Unstructured attachments include on-site operation images, scanned paper ledger documents, and similar materials.
Core fields include: berth number (character type), berthing time (ISO 8601 format timestamp), total cargo loaded/unloaded (unit: ton), ship draft (unit: meter), total operation duration (unit: hour), container throughput (unit: TEU).
What constraints do these characteristics impose on the model access and configuration process
The data characteristics of this category impose three core constraints on the model access and configuration process. First, structured datasets include numeric fields with clear units, requiring the model to correctly parse the association between units and values. A unit verification switch must be configured in the field mapping step. Second, unstructured attachments include on-site vessel images and scanned paper operation logs, requiring the model to support multimodal input. Access channels and preprocessing parameters for multimodal models must be configured in advance. Third, real-time operation data has a high update frequency, requiring model call response latency to match the business rhythm. The model’s timeout threshold and concurrent call limit must be configured. Additionally, a single due diligence report includes multiple types of structured data tables, so the context recall granularity parameter must be configured to ensure the model can recognize the context association between different data tables.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
multiModalSwitch | Enabled | Adapts to unstructured inputs such as vessel images and scanned operation log documents, and supports multimodal model calls |
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | A single due diligence report includes multiple types of structured data tables and attachments, with long parsing time; 600 seconds covers most scenarios |
embeddingRecallNum | Top 8–12 entries | The structured data tables of due diligence reports have dense fields; 8–12 recall entries can cover the context association of core business fields |
similarityThreshold | 0.75–0.85 | Port operation data fields have a high degree of standardization; this interval can filter redundant data with low relevance |
requestTimeout | 300 seconds | Model calls for real-time operation data need to match business response rhythm; 300 seconds covers most complex reasoning scenarios |
channelVerifyMode | Active testing | Ensures that connected model channels can be called normally, avoiding subsequent call failures |
The parameter values provided on this page are all common recommended starting points for configuration. The actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis, and it is recommended to test on your own samples before finalizing the settings.
Three common configuration mistakes
- An interface displays "No available channel for model gpt-4o-mini under current group default (request id: 2024091106)". The cause is that a matching model channel is not configured under the corresponding group, or channel verification failed.
- Calling fails after adding the native Gemini official key. The cause is that the multimodal switch is not enabled to adapt to image attachment inputs, or the access parameters for the Gemini model are not correctly configured.
- The model returns results missing the port operation duration field. The cause is that the unit verification for field mapping is not configured, causing the model to fail to recognize numeric fields with units and omit the corresponding content.
How to confirm the configuration is complete
- Enter the model channel management page, perform an active test, and confirm that the channel status shows normal.
- Upload a test port due diligence report, check the file parsing progress, and confirm that no timeout error is triggered.
- Initiate a model call, check whether the returned results include association analysis of structured fields related to port operations and unstructured content.
- Adjust the number of recalled entries and the similarity threshold, and verify that the relevance of the returned results matches business requirements.
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.