What Data for This Category Looks Like
Marketing data for the energy storage category comes primarily from three sources: official product manuals from energy storage equipment manufacturers, real-time operational data from grid dispatching platforms, and filing and public information from local energy administrations. Product manuals are structured PDFs or table documents, with fields including cell model, rated energy storage capacity (unit kWh), maximum charge-discharge power (unit kW), and ambient operating temperature range (unit ℃). Real-time operational data is in time-series JSON format, with fields including timestamp, real-time power, and state of charge, with minute-level update intervals. Filing and public data is a static web table, with fields including project filing number and grid connection acceptance time, with monthly-level update intervals.
Constraints Imposed by These Characteristics on Tool Calling and Plugins
Structured product manuals have numerous fields and strict standardized naming requirements. Tool calls must precisely match field names; generalized keywords cannot be used for automatic parsing. Real-time operational data has limited allowable call frequency. Tools must set reasonable request intervals to avoid triggering current limiting rules on grid platforms. Filing and public data is static content. Tool calls require a caching strategy aligned with its update cycle to avoid repeated calls. The presence of multi-unit fields requires tools to include built-in unit conversion logic to ensure consistent parameters in marketing content. Cross-data source calls require simultaneous connection to vendor APIs, grid interfaces, and filing data interfaces. Permission and routing rules for multi-source calls must be configured.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
TOOL_CALL_TIMEOUT | 300 seconds | Response delays for energy storage data interfaces typically range from 1 to 2 minutes. 300 seconds covers abnormal retry scenarios |
TOOL_REQUEST_RATE_LIMIT | 10 requests per minute | Grid data interfaces usually have call frequency limits. This setting avoids triggering current limiting |
PLUGIN_CACHE_TTL | 86400 seconds | Energy storage filing data updates on a daily cycle. Caching for one day reduces repeated call overhead |
PARAMETER_UNIT_CONVERSION | Enabled | Energy storage involves multi-unit fields. Conversion to standard units compatible with marketing content is required |
TOOL_FIELD_MAPPING | Map according to product manual fields | Vendor parameter document field names must strictly match tool input parameters to avoid parsing errors |
MAX_TOOL_RETRY_TIMES | 3 times | Retries reduce call failure rates during network fluctuations or temporary interface faults |
The parameter values provided on this page are general recommendations used as a starting point for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Configuration Errors
- Symptom: Calling an energy storage data interface returns AxiosError 404. Cause: Incorrect configuration of the interface access whitelist, or failure to replace path parameters in the interface URL with the exclusive ID of the actual energy storage project.
- Symptom: The deep thinking tool entry does not display in the chat interface. Cause: Failure to enable tool calling permissions in the application configuration, or failure to add the deep thinking tool to the available tool list.
- Symptom: The BI chart plugin returns a fixed test address. Cause: Failure to replace the
API_BASE_URLconfiguration item in the plugin with the actual energy storage data visualization interface address.
How to Confirm Configuration Is Correct
- Call the energy storage data interface, check if the returned fields include preset product parameters and operational data, to confirm the field mapping configuration is correct.
- View tool call logs, confirm that the request rate does not exceed the preset limit and no current limiting errors are triggered.
- Trigger the deep thinking tool, check if the corresponding thinking process is generated, to confirm tool permissions have been properly enabled.
- Test the BI chart plugin, check if the returned interface address matches the configured actual address, to confirm plugin configuration changes have taken effect.
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.