What the data for this category looks like
Industrial metal market data comes from public market APIs of global commodity trading markets. Real-time market snapshots are updated every 5 minutes during intraday trading sessions. Full daily settlement data is released within 1 hour after daily market close. Data is stored in structured format, including fields such as symbol (product code), exchange (trading market identifier), trading_date (trading day), open_price (opening price), close_price (closing price), settlement_price (settlement price), open_interest (open interest), and others. Price fields use yuan/ton as the unit, open interest uses lots as the unit, and price change values are presented as floating-point numbers without percentage signs.
What constraints these characteristics impose on tool calling and plugins
Global multi-source market APIs require dedicated authentication parameters for tool calling configurations. Request formats differ across trading markets, so request paths and request bodies need targeted adjustments. High-frequency updated market data requires tools to set reasonable polling intervals and timeout thresholds, to avoid rate limiting from frequent requests or lost real-time data due to timeouts. Fixed field types and unit rules require plugins to preset validation logic, to ensure parsed values meet business requirements. Time zone adaptation for trading days must align with data sources, otherwise mismatches between data timestamps and local business logic will occur. Differences in product code formats require tools to configure mapping rules, to unify code formats for incoming parameters and prevent request failures from format errors.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_request_timeout | 30 seconds | The average response time of industrial metal market APIs is 10-20 seconds. 30 seconds covers most normal requests and avoids premature timeouts |
max_retries | 3 times | Industrial metal market APIs occasionally experience temporary fluctuations. 3 retries improve request success rates and avoid failure from single requests |
tool_polling_interval | 300 seconds | Industrial metal market snapshots update every 5 minutes. A 300-second polling interval matches the update frequency and reduces invalid requests |
field_type_check | Enabled | Industrial metal market data includes fixed-type fields such as floating-point prices and integer open interest. Enabling validation prevents parsing errors |
exchange_code_mapping | Use preset mappings per data source | Product code formats differ across trading markets. Preset mappings unify code parameters for tool calls |
timezone_adjust | UTC+8 | The common time zone for domestic industrial metal trading is UTC+8. Adjusting to this ensures data timestamps align with local business logic |
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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.
Three common mistakes
- The symptom is a blank image output after calling the chart generation tool. The cause is failure to correctly map the price and date fields of industrial metal market data, preventing the tool from obtaining valid rendering data.
- The symptom is a
400 Bad Requeststatus code returned when calling the market tool. The cause is missing product code and trading market identifier parameters in the request body that meet the data source requirements. - The symptom is an error in the tool calling process when calling a non-designated model. The cause is failure to enable the tool calling capability switch for the model, or failure to configure the function definition format supported by the model to match the parameters of the industrial metal market API.
How to confirm the configuration is correct
- Initiate a single tool call request, check if the returned structured data includes the preset industrial metal market fields, and that the field data types match the configured validation rules.
- View tool call logs to confirm that the request timeout and polling interval parameters match the configured items, with no abnormal retries or timeout records.
- Test the chart generation tool to confirm that the output visual content includes correct market data and time axis, with no blank or missing content.
- Initiate calls using different industrial metal product codes, confirm that the tool can correctly return market data for the corresponding product, with no code mapping errors.
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.