What the Data for This Category Looks Like
Wind power enterprise financial report data has three main sources. These are annual and quarterly reports disclosed by domestic and overseas stock exchanges, plus monthly operation monitoring data released by industry self-regulatory organizations. Disclosure schedules follow fixed rules. Annual reports must be published before April 30 each year. Quarterly reports are made public within one month after the end of each quarter. Monthly operation data is updated in the middle of each month. Each document typically includes four sections: core financial indicators, wind power project operation details, installed and grid-connected data, and cost composition. Beyond general financial fields, the data includes dedicated industry fields. These are wind power utilization hours (unit: hours), grid-connected installed capacity (unit: megawatts), wind power generation (unit: megawatt-hours), and operation and maintenance cost breakdown items (unit: ten thousand yuan).
Constraints on Tool Calling and Plugins From These Data Characteristics
Multiple data sources require tool calling workflows to use multi-data source adaptation plugins. These plugins connect separately to exchange disclosure interfaces and industry association monitoring interfaces. This avoids limitations from relying on a single data source. Differentiated update schedules mean scheduled calling tools must support trigger periods configured for monthly, quarterly, or annual runs. This matches the update cadence of different data types. Dedicated fields and document structures require plugins to predefine parsing rules for wind power-specific fields. This prevents general parsing rules from failing to accurately extract core indicators like wind power utilization hours and grid-connected installed capacity. Single documents contain multi-section detailed data, so tool calling must support segmented pulling and batch parsing. This avoids data overload from single large calls.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_call_max_times | 3–5 times | Wind power financial report parsing requires multiple calls to different data source plugins. 3 to 5 times covers conventional multi-source data pulling needs and avoids infinite loop calls |
field_extract_template | ["wind power utilization hours", "grid-connected installed capacity", "wind power generation"] | Preset extraction rules for wind power-specific industry fields to match dedicated field names in financial report documents, improving accuracy of core indicator extraction |
plugin_timeout | 240 seconds | Wind power financial reports include multi-project detailed data. Interface pulling and parsing take longer. 240 seconds covers most conventional data volume calling scenarios |
scheduled_trigger_interval | ["monthly", "quarterly", "annually"] | Wind power data has three update schedules: monthly operation data, quarterly reports, and annual reports. This matches corresponding trigger periods |
plugin_auth_type | api_key_auth | Most exchanges and industry association data interfaces use API key authentication. This configuration ensures security of data source calls |
structured_response_enable | Enabled | Wind power financial report fields have clear industry-specific formats. Enabling structured responses organizes extraction results into standard formats for subsequent analysis |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material format, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- Phenomenon: Custom plugins display inconsistent names in the system plugin list and plugin management page. The system plugin list shows the identifier configured in code, while the plugin management page shows the display name filled during creation. Cause: The display name and internal identifier are not uniformly bound in plugin configuration, leading to differing name sources read by different pages.
- Phenomenon: Extra numeric zeros appear in tool calling debug results, which do not match the model's original response content. Cause: No format verification rules are configured for numeric fields returned by plugins. The system automatically adds redundant formatted content, leading to extra characters.
- Phenomenon: After setting fixed reply content, the tool calling link still automatically generates AI natural language replies. Cause: The tool calling mode is not configured to only execute tool output. The system still triggers the natural language organization process after tool calling is completed.
How to Confirm Configuration Is Complete
- Perform a single data source call test, pass simulated financial report data from exchange disclosures, and check if the extracted dedicated fields match the preset rules.
- View scheduled task execution logs to confirm that monthly, quarterly, and annual trigger periods all run according to preset configurations, with no abnormal interruptions.
- Debug the full-process tool calling to confirm that the output only includes structured data returned by tools, with no extra natural language organization content.
- Verify plugin authentication configuration: Call the target data source interface to return a normal response, with no prompts for authentication failure or insufficient permissions.
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.