What the data for this category looks like
Usage statistics data is sourced from the platform's internal API call logs, application operation records, and resource consumption details. Aggregation statistics are generated every minute. The data supports on-demand pulling or active pushing to external systems. The document uses a standardized JSON format, including fields such as app_id (unique application identifier), request_timestamp (call timestamp), token_consumption (total token consumption), api_call_count (number of API calls), total_cost (cumulative consumption amount). The corresponding units are none, milliseconds, count, times, and yuan.
Constraints for HTTP Interfaces and External Systems
Data must support billing and audit requirements in financial scenarios. HTTP interfaces must support idempotency checks to avoid data anomalies caused by repeated pushes. The high update frequency requires interface response time to be controlled within a reasonable range, otherwise external system receiving efficiency will be affected. Fields are strongly bound to business requirements, so external systems must configure field mapping rules in advance to avoid data parsing failures from missing fields or format errors. Financial scenario data transmission must comply with compliance requirements, so encrypted transmission configuration must be enabled to ensure data security.
How to Set Configurations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
STATISTICS_SYNC_INTERVAL | 60 seconds | Balances data freshness and system performance, matches near-real-time audit requirements in financial scenarios |
API_EXPORT_FIELD_WHITELIST | ["app_id", "request_timestamp", "token_consumption", "total_cost"] | Only retains fields required for billing and auditing, complies with data minimization compliance requirements |
EXTERNAL_DATA_PUSH_ENABLED | true | Enables active push mode, avoids resource consumption caused by frequent pulling by external systems |
PUSH_RETRY_MAX_TIMES | 3 times | Addresses push failures caused by network fluctuations, prevents data loss |
DATA_ENCRYPTION_ALGORITHM | AES-256-GCM | Meets data transmission compliance requirements in financial scenarios, ensures data security |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Misconfigurations
- Symptom: An error
Failed to connect to jyfkk:1433 - 38BBDDC3AF7F0000is returned when calling an external data source. The cause is that the access whitelist for the corresponding server was not added to the data source configuration, so the platform blocked unauthorized data source requests. - Symptom: The HTTP interface return result includes additional AI conversation content and does not directly output the target data. The cause is that the
INCLUDE_CHAT_CONTEXTconfiguration item was not disabled. The default setting appends conversation history, resulting in redundant output. - Symptom: A model unauthorized prompt is returned when calling an external model API. The cause is that the identifier of the corresponding model was not added to the
EXTERNAL_MODEL_WHITELIST, so the platform blocked calls to non-built-in models.
How to Verify Successful Configuration
- Call the
/v1/statistics/exportinterface, check whether the returned result includes the configured whitelist fields, and whether the field format matches expectations. - View the receiving logs of the external system, confirm that the data push frequency matches the setting of
STATISTICS_SYNC_INTERVAL. - Simulate a network interruption scenario, check whether the push task triggers the retry mechanism, and whether data is successfully pushed after network recovery.
- Check the encryption status of the data transmission link, confirm that it meets the preset compliance requirements.
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.