What the data for this category looks like
The data for carbon steel intelligent due diligence reports mainly comes from industry authoritative monitoring institutions, steel plant submitted data, and public information from spot trading platforms. Data updates are primarily weekly, with some spot trading data updated daily. The document structure includes fields such as product name, specification parameters, origin, ex-factory price, spot price, regional inventory, month-on-month change volume, etc. The unit for price-related fields is yuan/ton, the unit for inventory-related fields is ten thousand tons, and specification parameters must clearly state physical indicators such as thickness and diameter.
What constraints do these characteristics impose on the tool calling and plugins link
Differences in the update frequency of carbon steel data, the clarity of field units, and the diversity of specifications impose multiple constraints on the tool calling and plugins link. The primarily weekly batch industry data update requires that the interval of tool calling scheduled tasks should not be shorter than 7 days, to avoid repeatedly pulling invalid old data; spot daily-updated data requires parameters that support dynamic adjustment of the calling frequency. Fields come with clear units, so plugin input parameters must verify unit matching to prevent data anomalies caused by unit conversion errors. The multi-specification, multi-category carbon steel data structure requires plugins to support parameters for filtering by product name and specification, and also requires configuring pagination pulling logic to avoid triggering timeout limits due to excessive single return data volume.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_api_timeout | 600 seconds | Carbon steel due diligence reports require pulling multi-source industry data, and single batch pulling takes a long time. 600 seconds covers most conventional data pulling scenarios |
request_interval | 1 day - 7 days | Spot trading data is updated daily, and industry batch data is updated weekly. This interval matches the data update rhythm and reduces invalid calls |
UPLOAD_FILE_MAX_SIZE | 500 MB | Carbon steel due diligence reports contain a large number of attachments such as price tables and regional distribution maps. 500 MB covers the file volume of most conventional reports |
max_context_length | 8000 - 12000 characters | Carbon steel data includes multiple fields such as product name, specification, price, and inventory. This length can carry context information for multiple sets of complete data |
similarity_threshold | 0.75 - 0.85 | There are subtle differences in carbon steel specification parameters. This threshold can accurately match user queries with data source fields, avoiding mixing in irrelevant data |
plugin_pagination_limit | Top 20 entries | Returning too much data per single page increases plugin processing time. 20 entries balances data completeness and calling efficiency |
The parameter values provided on this page are conventional recommendations used as a starting point for configuration. 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.
Three common misconfigurations
- Symptom: When calling a tool to pull a carbon steel due diligence report docx file provided by a URL, a connection timeout or file inaccessible error is returned. Cause: The access permission of the carbon steel data source is not configured in the plugin settings, or the URL link has not completed a validity check.
- Symptom: After filling in carbon steel product name and specification parameters in custom plugin input parameters, the call result does not filter data according to the parameters. Cause: The input parameter field name does not match the data source field name bound to the plugin, and field mapping configuration is not completed.
- Symptom: When enabling a locally deployed Ollama model to call a plugin, an empty result is returned. Cause: The correct interface path of the Ollama model is not specified in the plugin settings, or the format returned by the model does not match the parsing rules preset by the plugin.
How to confirm the configuration is complete
- Call the plugin test interface, pass in carbon steel-related parameters, and verify that the field units of the returned data conform to carbon steel industry standards. The specific matching accuracy is set according to business requirements.
- View the plugin call logs to confirm that the actual call interval is consistent with the configured parameters, with no abnormally high or low frequency calls.
- Upload a local carbon steel due diligence report file, and verify that the parsed fields match the actual content in the report, with no missing or incorrect fields.
- Switch to a locally deployed model for testing, and confirm that the plugin can normally receive and parse structured data returned by the model.
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.