Tool Calling and Plugins for Cultural and Entertainment

What the Category Data Looks Like

Cultural and entertainment goods financing daily report data comes from three main sources: public investment and financing disclosure platforms, industry association public information, and independently declared financing announcements from enterprises. The update cadence follows daily T+1: all valid financing entries from the previous calendar day are updated each day. A single data entry includes these fields: project name, financing round, financing amount, investor list, financing completion date, affiliated sub-category (such as trendy toys, cultural and creative peripherals, digital collectibles, etc.), and counterparty information. Financing amounts are uniformly marked as RMB ten thousand yuan. The round field uses industry-standard terminology. The investor field includes the full institutional name and its core business direction.

Constraints on Tool Calling and Plugins

Public data sources have differing field formats. Plugins must adapt to multiple API return structures, and use preset field mapping rules to unify data formats. The daily T+1 update cadence requires plugin scheduled tasks to trigger at 1 AM daily. This ensures complete financing data from the previous day is pulled. Diverse sub-category fields require plugins to support precise filtering by cultural and entertainment sub-categories. This prevents non-target data from being included. Financing amounts are uniformly measured in RMB ten thousand yuan. Plugins must automatically complete unit verification and standardization after pulling data. This avoids numerical calculation deviations. The number of daily financing entries fluctuates with market activity. Plugins must adapt to dynamic data volume thresholds. This prevents single call timeouts.

How to Configure the Settings

Configuration Item	Recommended Value	Rationale
`plugin_schedule_cron`	`0 0 1 * * ?` (triggers at 1 AM daily)	Matches the T+1 update cadence of cultural and entertainment goods financing daily reports, ensures complete data from the previous day is pulled
`plugin_api_timeout`	`30 seconds`	Adapts to response delays across multiple data source APIs, prevents call failures due to slow data source responses
`plugin_data_filter_rule`	`Category: Trendy Toys, Cultural & Creative Merchandise, Digital Collections`	Precise filtering of financing entries for cultural and entertainment goods sub-categories, excludes non-target data
`plugin_field_mapping`	`Amount → Financing Amount, Investors → Investor List`	Unifies field names across multiple data sources, ensures consistency in subsequent data processing
`plugin_unit_conversion_config`	`Amount Unit: 10k CNY`	Standardizes the unit of financing amounts, avoids calculation errors caused by unit differences across data sources
`plugin_request_batch_size`	`50 items per call`	Balances API call frequency and data pulling efficiency, adapts to the fluctuation range of daily financing entry volume

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, and require specific analysis for specific scenarios. It is recommended to test on your own samples before finalizing the configuration.

Three Common Configuration Errors

An interface call returns 400 Bad Request with a field format error prompt. The cause is that plugin_field_mapping is not configured, and native field names from multiple data sources are used directly. This leads to downstream processing being unable to recognize unified field identifiers.
The scheduled task only pulls partial data after triggering, and does not cover all financing entries of the day. The cause is that plugin_api_timeout is set too short. Some slow-responding data sources are interrupted before completing data return.
Non-cultural and entertainment goods financing projects are mixed into the generated daily report after plugin execution. The cause is that plugin_data_filter_rule is not configured with accurate sub-category filtering conditions, or the category names in the filtering rules do not match the field values returned by the data source.

How to Confirm the Configuration Is Complete

Manually trigger plugin execution, check if the returned structured data only includes configured cultural and entertainment sub-category entries, and the financing amount unit is uniformly ten thousand yuan in RMB.
Check the plugin's scheduled task log, confirm that the daily early morning trigger time matches the plugin_schedule_cron configuration, and the pulled data range is the previous calendar day.
Compare the data source return fields pulled by the plugin with the plugin_field_mapping configuration, confirm that all mapped fields can be matched and converted normally.
Simulate calling financing data with multiple rounds and multiple investors, verify whether plugin_data_filter_rule and plugin_unit_conversion_config function correctly.

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.