What the data for this category looks like
Data for livestock and poultry farming financing daily reports is sourced from official livestock industry monitoring platforms and banking agricultural financing reporting systems. Full data for the previous natural day is updated every early morning. Core breeding categories such as pigs, white-feathered broilers, and beef cattle serve as first-level classifications. Entries under each classification are split by financing subject type. Fields include subject qualification level, single financing amount, credit period, approval time, and other related fields. Field units use standard metrics like yuan, days, and establishments, with no additional custom units.
Constraints imposed by these characteristics on tool calling and plugin workflows
The fixed daily update schedule requires the plugin to be configured with a scheduled pull trigger, to avoid frequent calls that exceed interface rate limits. The document structure split by category and subject type requires tool calling parameters to support two core input items: category filtering and subject type filtering. The structured field design requires the plugin to pre-configure field mapping rules, to automatically align returned data with the target application’s business fields without extra manual parsing. The cross-platform data source attribute requires the plugin to be configured with dedicated authentication parameters, to ensure call permissions meet the security requirements of official data interfaces.
How to configure the settings
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
plugin_fetch_interval | 86400 seconds | Matches the daily data update cycle, avoids frequent calls that trigger rate limits |
plugin_category_filter | pigs,white-feathered broilers,beef cattle | Aligns with the first-level classification fields of the document, accurately pulls data for target categories |
plugin_auth_secret | Exclusive key provided by the official livestock financing data platform | Meets the identity verification requirements for cross-platform data interfaces |
plugin_parse_strict | Enabled | Strictly matches structured fields to avoid unintended parsing deviations |
plugin_request_timeout | 30 seconds | Covers the standard response time of official interfaces, with reasonable buffer time reserved |
plugin_max_return_count | Top 20 entries | Adapts to the scale of valid entries in a single daily report, controls returned data volume |
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 case-by-case analysis. It is recommended to test on your own samples before finalizing settings.
Three common errors
- Phenomenon: Interface logs show continuous calls outside the configured time window, with abnormal balance consumption. Cause: The
plugin_fetch_intervalparameter is not configured correctly. The pull interval is set too short, or the scheduled trigger rule is not enabled. - Phenomenon: After the plugin configuration is saved, the call has no response, and no clear error is displayed in the interface. Cause: The
plugin_auth_secretparameter is not configured, or the entered key does not match the official platform, resulting in interface verification failure. - Phenomenon: A plugin selection pop-up appears every time a conversation is initiated, and it is not possible to set only one prompt per single-turn conversation. Cause: The
plugin_single_turn_triggerconfiguration item is not found, and the global trigger rule is mistakenly set to trigger on every conversation.
How to confirm the configuration is complete
- Enter the plugin management page, check the configured value of
plugin_fetch_interval, and verify that it matches the data update cycle. - Initiate a test call, check the interface return logs, confirm that
plugin_auth_secretverification is passed, and no 401 status code is present. - Check the fields of the returned data, confirm that core fields such as preset categories and subject types are included, with no parsing exceptions.
- Check the timestamp of the call logs, confirm that pull actions are only triggered during the configured time window, with no call records from abnormal time periods.
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.