Tool Calling and Plugins for Grid Equipment Marketing

What the Data for This Category Looks Like

Grid equipment-related data primarily comes from internal enterprise equipment ledger systems, operation and maintenance inspection logs, bidding announcement databases, and product selection manuals. Data update rhythms differ: operation and maintenance data is updated in real time alongside inspection cycles, product parameters are refreshed synchronously when new equipment models launch, and bidding information is updated in batches per project cycles. Document structures primarily use standardized fields, including equipment model, rated voltage, rated capacity, installation weight, applicable scenarios and other fields. Voltage units are kV, capacity units are kVA, and weight units are kg. Some documents also include historical operation and maintenance cases and applicable scenario descriptions.

Constraints Imposed on Tool Calling and Plugins

The specialized fields and unit requirements of grid equipment data require strict matching of parameter formats during tool calling, to avoid unit errors or missing fields in generated content. The decentralized nature of multiple data sources requires plugins to support cross-system data aggregation, and requires configuring permission verification and request timeout rules for multiple data sources. Marketing content generation needs to combine equipment parameters and customer needs, and tool calling needs to support dynamic splicing of different fields to generate customized materials, so preset field extraction rules are required. Differences in data update frequencies require plugins to support switching between incremental synchronization and full synchronization configurations, to avoid invalid requests occupying resources.

How to Set Configurations

Configuration Item	Recommended Setting	Rationale
`tool_call_field_match_mode`	Strictly match units and field types	Grid equipment parameters have specialized units; mismatches will cause parameter errors in generated marketing content
`plugin_data_sync_interval`	Full synchronization every 12 hours, set the real-time incremental synchronization trigger threshold to 10 new data entries	Operation and maintenance data has high real-time requirements, while ledger data has a lower update frequency; this balances synchronization efficiency and resource usage
`max_tool_call_context_length`	800–1200 characters	Grid equipment parameter documents are relatively long, and overly long context will cause model call overflow
`fetch_timeout`	600 seconds	Aggregating equipment data across multiple data sources requires a longer request waiting time
`tool_call_error_retry_count`	3 times	Grid data sources may experience temporary network fluctuations; multiple retries can improve call success rate
`plugin_response_parse_mode`	Parse by field prefix matching	Can quickly extract core fields such as equipment model and rated parameters for marketing content generation

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 individual analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Symptom: A cross-origin error is returned when calling api/v1/chat/completions, and the front-end console shows Access-Control-Allow-Origin missing. Cause: The back-end has not been configured with allowed request origins and headers, and preflight requests have not been handled correctly.
Symptom: The model returns chat:llm-model-response-empty, and there is no tool return result in the call flow chart. Cause: Professional fields of grid equipment were not correctly matched during tool calling, resulting in failure to obtain valid data.
Symptom: Parameter units are incorrect in generated marketing content, for example, rated voltage is marked as "V" while the correct unit is "kV". Cause: Unit verification configuration for tool_call_field_match_mode was not enabled, and parameter unit matching was not enforced during tool calling.

How to Confirm Configurations Are Correct

Send a test request calling api/v1/chat/completions with a tool call instruction that extracts grid equipment parameters, and check if the response contains correct units and field content.
View the plugin synchronization logs to confirm that data has been updated according to the cycle set by plugin_data_sync_interval, with no synchronization failure error records.
Simulate a cross-origin request and check if the back-end response headers include Access-Control-Allow-Origin and allowed request methods.
Trigger the tool call retry logic, simulate temporary fluctuations in the data source, and check if retries are completed the number of times set by tool_call_error_retry_count and valid results are returned.

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.