What data for this category looks like
Data for industrial metal due diligence reports comes from domestic industry authoritative statistical institutions, domestic futures exchanges, General Administration of Customs public data, and international market public market databases. Update cadence is tiered: spot trading prices are updated daily, regional inventory data is updated weekly, and monthly production capacity and import and export data are updated monthly. Most documents are structured CSV, Excel spreadsheets, or PDF industry briefings. They include fields such as product name, specification model, origin identifier, transaction benchmark price, total regional inventory, and monthly output. Common units are yuan/ton, ten thousand tons, and cubic meters.
What constraints do these characteristics impose on model integration and configuration
Multi-source, multi-format data requires configuring parameters that support multiple types of file parsing, to adapt to different import methods for CSV, Excel, PDF, and other formats. Tiered update cadence requires configurable differentiated synchronization trigger cycles, to avoid invalid calls or data lag. The presence of specialized fields and exclusive units requires configuring field mapping rules, to ensure unit consistency during model calls and avoid calculation or display errors. Some monthly reports have long lengths, requiring configuring reasonable segment lengths and context windows, to avoid truncating key data and affecting analysis results.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
PARSE_FILE_TIMEOUT_SECONDS | 600 seconds | Industrial metal due diligence reports are mostly long documents, with long parsing times. 600 seconds covers most PDF/Excel parsing scenarios |
maxContext | 8000–16000 characters | Industrial metal data has many fields and includes specialized terminology. A larger context window retains complete field mapping and historical data associations |
SYNC_INTERVAL_HOURS | Tiered by data type: 2 hours for spot data, 24 hours for inventory data, 168 hours for monthly reports | Significant differences exist in update frequencies across data types. Matching synchronization cycles avoids invalid calls and data lag |
UPLOAD_FILE_MAX_SIZE | 500 MB | Monthly industry briefings may include multiple attachments. 500 MB covers most bulk import scenarios |
field_mapping_mode | Manually specify unit mapping | Industrial metal data has scenarios with mixed units. Manual mapping ensures unit consistency during model calls |
retry_times | 3 times | Market data has strong timeliness. Limited retries address temporary network fluctuations and avoid excessive delays |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three common configuration errors
- Phenomenon: The agent execution details page shows that the model response completion reason includes "connection disconnected", or returns a 503 status code. Cause: Industrial metal market data sources are mostly cross-domain public interfaces. The
PROXY_URLparameter is not configured, or the proxy configuration is incorrect, preventing the model from pulling real-time data. - Phenomenon: The model provider management page does not display call log entries, and log files cannot be downloaded. Cause: The
ENABLE_MODEL_CALL_LOGparameter is not enabled, or the log storage path configuration has insufficient permissions, causing call records to not be persisted. - Phenomenon: The reranking model returns results normally in knowledge base tests, but has no reranking output during agent execution. Cause: The reranking model switch is not enabled in the agent's model configuration, or the
rerank_top_nparameter of the reranking model is set to 0, preventing the reranking logic from being triggered.
How to confirm that configurations are properly set
- Upload an industrial metal monthly due diligence report, check whether the parsed fields match the preset
field_mapping_moderules, and confirm that there are no deviations in unit mapping. - Trigger a real-time market data synchronization, check the time consumption and return results in the synchronization log, and confirm that the synchronization cycle configuration matches the update cadence of the corresponding data.
- Enter the model provider page, check whether there are call log entries from the past 24 hours, and confirm that the log function is enabled normally.
- Start an agent execution test task, check whether the returned results include reranked industrial metal data entries, and confirm that the reranking model configuration is effective.
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.