Tool Calling and Plugins for Photovoltaic Intelligent Due Diligence Reports

Data sources for photovoltaic due diligence include project filing systems, equipment manufacturer factory inspection reports, power station operation

What the Data for This Category Looks Like

Data sources for photovoltaic due diligence include project filing systems, equipment manufacturer factory inspection reports, power station operation and maintenance platforms, and regional grid grid connection databases.

Update cadences:

  • Basic filing data updates with project approval progress
  • Equipment parameter data updates with manufacturer production batches
  • Operation and maintenance data syncs daily
  • Grid connection approval data updates with project grid connection milestones

The document structure has two parts: structured field sets and attachment materials. Structured fields include project address, total installed capacity, component model, and inverter model. Attachment materials include inspection report scans and grid connection agreement scans.

Field units:

  • Total installed capacity is measured in kilowatts (kW)
  • Peak component power is measured in watt-peak (Wp)
  • Per-unit-time irradiance is measured in kilowatt-hours per square meter (kWh/㎡)

What Constraints These Characteristics Impose on Tool Calling and Plugins

The scattered data sources and differentiated update cadences of photovoltaic due diligence data require tool calling to connect to multiple data sources simultaneously, including filing systems, operation and maintenance platforms, and meteorological data. Trigger rules for multi-source data pulling must be configured.

The mixed document structure of structured fields and attachments requires tool calling to support linkage between field extraction and attachment parsing. For example, after extracting installed capacity from a filing interface, match the inspection report in the attachment to complete parameter verification.

Return formats vary significantly across different data sources. Configure format conversion plugins to unify data structures and prevent errors in subsequent processing.

The high update frequency of operation and maintenance data requires setting a reasonable timed synchronization interval for tool calling. This prevents expired data from affecting the accuracy of due diligence results.

Configuration Settings

Configuration ItemRecommended ValueRationale
TOOL_CALL_MAX_RETRIES3 timesPhotovoltaic due diligence involves multi-source data pulling, with a relatively high single-call failure rate. 3 retries balances success rate and time consumption
PLUGIN_DATA_SYNC_INTERVAL86400 secondsOperation and maintenance data updates daily. This interval ensures that the latest operating data is pulled
PARSE_ATTACHMENT_MAX_SIZE500 MBPhotovoltaic inspection report scans are usually multi-page PDF files with large individual file sizes. This threshold covers common attachment sizes
MODEL_TOOL_ALLOW_REASONINGfalseDue diligence reports require rigorous structured output. Disabling reasoning mode prevents the model from generating unstructured redundant content
TOOL_CALL_TIMEOUT600 secondsMulti-source data pulling requires integrating responses from multiple interfaces. A longer timeout period avoids call interruptions caused by large data volumes
MAX_CONTEXT_LENGTH8000–12000 charactersPhotovoltaic due diligence data includes structured fields and attachment summaries from multiple reports. This length can fully carry context information

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. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

  • Phenomenon: A 413 Request Entity Too Large error is returned when calling tools to pull photovoltaic data. Cause: The PARSE_ATTACHMENT_MAX_SIZE configuration item was not adjusted. The attachment volume exceeds the platform's default threshold, causing the request to be blocked.
  • Phenomenon: When using the qwen3 model to call tools, the model automatically generates reasoning processes and cannot generate purely structured due diligence fields. Cause: MODEL_TOOL_ALLOW_REASONING was not configured as false. The model enables reasoning mode by default, generating unnecessary explanatory content.
  • Phenomenon: The entire tool calling process is displayed on the front-end interface, resulting in redundant display of due diligence reports. Cause: The tool calling result hiding configuration was not enabled, and the setting to return only the final extracted structured data was not configured.

How to Verify Correct Configuration

  • Call tools to pull a single photovoltaic inspection report attachment. Check the returned error code to confirm that no request size-related errors occur. Adjust the corresponding configuration item based on the actual attachment volume.
  • Configure the qwen3 model to call tools. View the generated due diligence fields to confirm that no additional reasoning explanation content is included. Adjust the model reasoning mode related configurations.
  • Trigger the tool calling process. View the front-end display content to confirm that only the final structured due diligence data is shown, and no intermediate tool calling steps are displayed. Adjust the tool calling display configuration.
  • Wait for the preset synchronization interval. Check the update time of the pulled operation and maintenance data to confirm that the synchronization interval matches the data update cadence. Adjust the corresponding configuration item.

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.