What the data for this category looks like
Power industry revenue and market data is sourced from public trading interfaces of provincial power trading centers and public datasets of regional grid dispatching. Spot trading data updates every 15 minutes, and daily report data generates full market and revenue calculation results for the previous day at midnight each day. The document structure uses structured JSON or CSV format, including fields such as trading date, trading area code, trading type, transaction average price (unit: yuan/megawatt-hour), benchmark power generation cost (unit: yuan/megawatt-hour), regional revenue difference, revenue fluctuation coefficient, and others. Revenue-related fields are presented in relative numerical form, and data fields strictly match the official disclosure format of power transactions, with no additional custom fields.
What constraints do these characteristics impose on the "multi-turn dialogue and prompt engineering" link
The data characteristics of the power category impose multiple constraints on the multi-turn dialogue and prompt engineering link. First, the frequently updated spot data requires real-time calls to data interfaces during the dialogue process, and cached datasets older than 15 minutes must not be used, otherwise the output results will deviate from current market conditions. Second, the professional attributes of multiple fields require prompts to clearly specify the parameters to be extracted, such as trading type and area code, to prevent the model from confusing revenue data from different trading scenarios. Third, the daily generation rule of daily report data requires that specific trading date parameters must be carried in multi-turn dialogue to accurately match historical revenue information. Fourth, the structured data format requires prompts to clearly specify the structured form of returned content to adapt to subsequent data processing workflows.
How to set configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
maxContext | 2000–3000 characters | Retain key parameters such as trading area and date in multi-turn dialogue to avoid query errors caused by context truncation |
dataRefreshInterval | 15 minutes | Match the 15-minute update frequency of spot power data to ensure the dialogue uses the latest market data |
systemPrompt | Clearly specify that trading date, area code, and data type parameters must be carried, and return structured revenue results | Power data fields are professional, constrain the model to obtain accurate parameters to avoid output confusion |
apiTimeout | 60 seconds | Adapt to the conventional response delay of power trading interfaces to prevent dialogue interruptions caused by timeouts |
requiredInputParams | Trading date, area code, data type | Force mandatory parameters to be passed in multi-turn dialogue to ensure accurate matching of power data query logic |
maxToolCalls | 2–3 times | Limit the number of tool calls in multi-turn dialogue to avoid invalid cyclic calls to data interfaces |
The parameter values given on this page are conventional recommendations used as starting points 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 mistakes
- Phenomenon: The dialogue interface returns empty data, with a 200 status code but empty data fields. Cause: No date or area parameters for data query are specified in the prompt, causing the model to fail to match the corresponding power data.
- Phenomenon: In version v4.8.10, the dialogue outputs results directly in one go instead of using streaming output. Cause: The
streamResponseconfiguration item is not enabled, or the configured context length exceeds the streaming output threshold supported by the model. - Phenomenon: The output content of code running cannot be obtained in the workflow, and the passed parameters are not recognized by global variables. Cause: The output of the code node is not bound to the mapping configuration of dialogue variables, causing parameters to fail to be passed to subsequent links.
How to confirm the configuration is complete
- Initiate a test dialogue with clear trading date and area code parameters, and check that the returned data fields match the requirements specified in the configured prompt.
- View the dataset refresh log to confirm that the data update interval matches the configured refresh interval.
- Test passing different parameters in multi-turn dialogue, and check whether the model can correctly switch revenue data for different areas or trading types.
- Enable debug mode to view tool call logs, and confirm that the interface response time meets the configured timeout 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.