What the Data for This Category Looks Like
The data for energy storage intelligent due diligence reports primarily comes from records filed by power industry associations, grid connection acceptance documents, energy storage power station operation logs, and public bidding announcement information. Data update cadences fall into three categories: filed records are updated monthly, operation logs are synchronized daily, and bidding announcement information is updated weekly. Each due diligence document has a fixed structure, including fields such as power station geographic location, installed capacity (unit: MW or MWh), battery cell type, grid connection acceptance time, annual operation and maintenance frequency, fault ledger, investor qualification, and more. Fields must match the standard grid connection format for the power industry.
Constraints Imposed on Tool Calling and Plugins
The multi-source nature, periodic updates, and fixed field units of energy storage due diligence data impose multiple constraints on the tool calling and plugins workflow. First, configure plugin authentication parameters that can connect to the three types of data sources: power association records, operation logs, and bidding announcements, to adapt to the permission rules of different interfaces. Second, mandatory field unit verification must match standard power industry units such as MW and MWh to avoid report data deviations caused by inconsistent units. Third, the update cadences of different data sources require differentiated pull frequency configurations: filed records can be set to daily caching, operation logs need real-time synchronization, to ensure the timeliness and accuracy of due diligence data.
Configuration Settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
tool_api_timeout | 300 seconds | The response duration of multi-source interfaces for energy storage due diligence typically ranges from 120 to 280 seconds. Setting 300 seconds covers most normal requests and avoids truncating valid data prematurely |
tool_field_validate_mode | strict | Energy storage due diligence data follows a fixed power industry field format. The strict verification mode filters invalid results that do not match units and field names |
multi_source_sync_interval | Filed data: 86400 seconds, operation logs: 300 seconds | Filed records are updated monthly, so daily synchronization meets requirements; operation logs need to reflect power station status in real time, so short synchronization intervals ensure timeliness |
tool_output_mapping_template | Map to preset due diligence report fields | Energy storage due diligence reports require a fixed field structure. Directly mapping tool return results to the template reduces manual organization costs |
duckduckgo_search_max_results | Top 10 results | Public information in the energy storage industry is mostly concentrated in the top 10 search results. Excessive results increase model processing burden, and redundant information will interfere with due diligence judgments |
tool_call_max_retries | 2 retries | Multi-source interfaces may experience temporary fluctuations. 2 retries fix temporary request failures without adding excessive latency |
The parameter values provided on this page are conventional recommendations used as a starting point 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 Configuration Mistakes
- Symptom: The
duckduckgo_searchtool returns empty results. Cause: No reasonable value is set forduckduckgo_search_max_results, or no proxy node adapted to the domestic network is configured, causing search requests to fail to initiate normally. - Symptom: The tool calling node returns the
Invalid JSON: Bad control charactererror. Cause: No escape processing is performed for Chinese line breaks and full-width punctuation in energy storage operation logs, causing the returned structured data to not comply with JSON format specifications. - Symptom: No connection line can be added to the tool calling node, and no small circle for triggering connection appears in the interface. Cause: The
enable_tool_node_connectionconfiguration item is not enabled, or the current workflow has reached the maximum number of associated tool nodes, preventing new calling links from being created.
How to Confirm Proper Configuration
- Submit a simulated due diligence request, check whether the tool calling return results include preset fields such as energy storage power station installed capacity and grid connection time, and whether the units comply with MW or MWh standards.
- View the tool calling logs, confirm that the pull frequency of multi-source data matches the
multi_source_sync_intervalparameter configuration, that filed data is not pulled frequently, and that the operation log synchronization interval meets expectations. - Trigger a network search request, check that the number of returned results matches the
duckduckgo_search_max_resultsparameter setting, and there is no redundant invalid information. - Manually trigger the tool calling retry process, confirm that the
tool_call_max_retriesparameter takes effect, and that temporary request failures can be automatically retried.
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.