Tool Calling and Plugins for Usage Statistics Integrated AI

What the Data for This Category Looks Like

The data for this category comes from call chain logs, resource consumption statistics modules, and plugin execution records of individual applications within the integrated AI platform. Data updates occur at a minute-level frequency, and supports aggregated export by hour or day. The document structure includes basic dimension fields: application ID, statistical period, total tool calls, plugin execution success counts, plugin execution failure counts, and average execution duration per plugin. Field units are string, time interval, count, count, and seconds respectively. Some fields support custom extended dimensions.

Constraints Imposed on Tool Calling and Plugins

The minute-level data update frequency requires real-time pulling of the latest statistical dimension configuration when calling tools and executing plugins, to avoid using expired aggregation rules. The multi-dimensional field structure requires that plugin input parameters must explicitly specify basic parameters such as application ID and statistical period. Without these parameters, statistical data for the corresponding dimensions cannot be generated. The strict matching of field units requires that plugin output statistical values must match preset units. For example, convert execution duration to seconds before writing to statistical fields to prevent statistical deviations from unit mismatches. Additionally, the failure count statistical field requires plugins to capture execution exception status and synchronize failure identifiers to the statistical chain, ensuring data integrity.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`usage_collection_interval`	`60 seconds`	Matches the minute-level data update frequency of this category, balances statistical real-time performance and system resource usage
`statistic_dimension_schema`	`["app_id", "stat_period", "tool_total", "plugin_success", "plugin_fail"]`	Corresponds to the standard document structure fields of this category, ensures dimensional completeness of statistical data
`plugin_unit_conversion`	`{"duration": "second", "count": "integer"}`	Unifies the units and data types of plugin output values and statistical fields to avoid statistical deviations
`failure_trigger_tag`	`["plugin_exception", "api_call_failed"]`	Covers the exception status types required for statistics in this category, ensures complete collection of failure data
`statistic_query_timeout`	`30 seconds`	Limits the timeout period for statistical data pulling to avoid blocking of tool call chains

The parameter values provided on this page are standard recommendations used as starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require individual analysis. Testing on samples is recommended before finalizing.

Three Common Misconfigurations

The symptom is that the tool calling link directly returns a 400 Bad Request error after a workflow initiates a user question. The cause is that the statistical dimension parameters of this category are not bound in the tool calling configuration, resulting in the request missing the required app_id and stat_period fields.
The symptom is that the initial value of a global variable configured in the plugin does not take effect, and statistical data is not updated after the variable is modified. The cause is that the automatic synchronization switch for statistical data is not enabled, causing variable modifications to not trigger re-collection by the statistical chain.
The symptom is that the code execution component cannot call third-party APIs, and the HTTP request module does not return the Set-Cookie field. The cause is that the cookie persistence parameter is not enabled in the HTTP request configuration, causing cookie information in the response header to not be retained.

How to Verify Configuration Correctness

Trigger a tool call and plugin execution, check whether statistical records corresponding to the dimensions are generated in platform logs, and verify whether fields match the preset statistic_dimension_schema.
Adjust the plugin unit conversion configuration, verify whether the numerical values of the statistical data match the converted units, and confirm that the plugin_unit_conversion configuration takes effect.
Simulate plugin execution exceptions, check whether the statistical chain captures the exception status and updates the failure count field, and confirm that the failure_trigger_tag configuration covers the exception types.
Check the return duration of the statistical data pulling interface, confirm that it does not exceed the configured threshold of statistic_query_timeout, and ensure that the tool call chain is not blocked.

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.