Tool Calling and Plugins for Wind Power Intelligent Due

What the data for this category looks like

Wind power intelligent due diligence report data sources include project feasibility study documents, equipment factory inspection archives, wind farm SCADA operation data, and land space compliance approval documents. Update rhythms are divided into two types: static documents are updated per project initiation or equipment batch, and operation data is refreshed hourly or in real time. Document structures typically include four modules: site geographic parameters, single-unit equipment parameters, operation log ledger, and compliance verification report. Fields include hub height (unit: meters), single-unit capacity (unit: megawatts), tower wall thickness (unit: millimeters), annual utilization hours (unit: hours), and some data is attached with batch numbers and inspection dates.

What constraints these characteristics impose on tool calling and plugins

The multi-source, heterogeneous nature of wind power data requires tool calling to support cross-document and cross-format associated queries, and adapt to three data source types: PDF tables, structured CSV, and real-time APIs. The real-time refresh requirement for high-frequency operation data requires plugins to configure scheduled pulling or streaming callback mechanisms to avoid single-request timeouts. The exclusive unit system for equipment parameters requires built-in standardized conversion rules in tools to ensure capacity and dimension data from different sources are unified into industry-standard units. The fixed document number format for compliance documents requires configuring regular expressions via plugins to perform legality verification, reducing manual review costs.

How to set the configuration

Configuration Item	Recommended Value	Rationale
`PARSE_FILE_MAX_SIZE`	`200 MB`	A single wind power feasibility study report or equipment archive typically does not exceed 150 MB. Reserve 50 MB of redundancy to support multi-file packaged upload scenarios
`TOOL_REQUEST_TIMEOUT`	`120 seconds`	The average response duration for multi-source data associated queries and SCADA data pulling falls between 60 and 90 seconds. Set 120 seconds to avoid timeout interruptions
`SQL_TOOL_MAX_RETURN_ROWS`	`5000 rows`	Monthly operation log data volume for a single wind farm typically does not exceed 4000 rows. Limit return rows to prevent overload from tool calling results
`PLUGIN_UNIT_CONVERSION`	`Enabled`	Wind power equipment parameters use exclusive units such as megawatts, millimeters, and kilovolts. Enable built-in conversion rules to unify data formats
`RECALL_TOP_K`	`Top 8 entries`	Wind power due diligence requires associating three types of data: site, equipment, and operation. Recalling 8 entries covers core associated dimensions and avoids information omission

The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require targeted analysis. It is recommended to test against your own samples before finalizing settings.

Three common mistakes

A 422 Unprocessable Entity error is returned when calling third-party large model tools. The cause is that the request parameters do not include verification rules for wind power equipment exclusive fields, or the parameter format does not match the preset JSON structure of the plugin.
The number of operation data rows returned by tool calling is insufficient. The cause is that the SQL_TOOL_MAX_RETURN_ROWS configuration item is not adjusted, resulting in return rows being limited below the default threshold.
Field extraction fails when parsing wind power compliance PDF files. The cause is that the table parsing switch for engineering documents is not enabled, resulting in incomplete recognition of equipment parameter tables.

How to confirm the configuration is complete

Upload a wind power feasibility study report with a single file size matching the PARSE_FILE_MAX_SIZE value, and check that the parsing progress completes normally with no timeout prompts.
Configure the SQL tool to pull monthly operation log data for a single wind farm, and verify that the number of returned rows matches the preset SQL_TOOL_MAX_RETURN_ROWS value.
Initiate a multi-source data associated query, and check that the equipment units in the returned results are unified into industry-standard formats.
Call a third-party large model tool, pass a test request containing wind power equipment parameters, and confirm that no 422 or 400 level errors occur.

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.