Tool Calling and Plugins for Professional Chain Financing

What the Data for This Category Looks Like

The data source for professional chain franchise financing daily reports is aggregated daily capital ledgers from partner supply chain financial service providers and headquarters ERP systems, plus store POS transaction flows. Data is refreshed for the full previous calendar day at a fixed daily time. Real-time pulling of uncompleted aggregated datasets is not supported. The document structure uses a structured multi-dimensional table or JSON array. Each record corresponds to the daily financing details of a single store. Fields include store ID, store name, actual daily financing amount, due repayment amount, available credit limit, financing channel type, and more. All units are Renminbi Yuan. The structure also supports row items for aggregated summaries by region and business format.

Constraints Imposed on Tool Calling and Plugins

Data is split by individual store and supports multi-dimensional filtering. Tool calling must use conditional filtering parameters to avoid pulling redundant full datasets. Data updates follow a T+1 schedule. Tool scheduled triggers must be set to a fixed daily time. Real-time pulling is not allowed, to prevent fetching incomplete updated datasets. Data volume increases with the number of stores. Tool calling must set reasonable batch pull sizes and pagination parameters to avoid single request timeouts or exceeding interface limits. Fields include enumerated financing channel types. Plugins must support dynamic filtering conditions to fit analysis requirements for different business format chains.

Recommended Configuration Settings

Configuration Item	Recommended Value	Rationale
`tool_request_timeout`	`300 seconds`	Professional chain franchise financing daily report data volume grows with store count. 300 seconds covers the time required for batch pulling and structured processing
`tool_batch_size`	`50–100`	Professional chain stores typically number from tens to hundreds. This range balances request success rate and processing efficiency
`api_request_stream_mode`	`Enabled`	Financing daily report data has a large volume. Stream mode reduces memory usage and improves return speed
`plugin_filter_condition`	`Configure using \`financingchannel\ `and \`storeregion\`	Professional chain financing daily reports often require aggregated analysis by channel or region. This configuration accurately pulls target data
`global_variable_update_scope`	`Global synchronization`	Pulled financing daily report data must be synchronized to global variables for use in subsequent analysis steps
`api_error_retry_times`	`2–3 times`	Supply chain financial interfaces occasionally have fluctuations. Retries reduce the probability of single call failure

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. It is recommended to test on your own samples before finalizing settings.

Three Common Misconfigurations

The symptom is that global variables are not updated after tool calling. The cause is that the global synchronization switch for global_variable_update_scope is not enabled, or the configured update scope is limited to the current session only.
The symptom is the interface returns the error {"code":514,"statusText":"unAuthApiKey"}. The cause is that the API key configured for the plugin is not bound to access permissions for the corresponding supply chain financial service provider, or the key has expired and become invalid.
The symptom is that call logs show data acquisition exceptions, and the number of returned results does not match expectations. The cause is that a reasonable value for tool_batch_size is not configured, leading to single request data volume exceeding interface limits, or pagination parameters are not set correctly.

How to Verify Proper Configuration

Initiate a tool call test. Check if returned result fields include preset key items such as store_id, daily_financing_amount, to confirm the data structure matches expectations.
Check the global variables panel. Confirm that a dataset corresponding to the financing daily report has been generated after tool calling, and the variable value is not empty.
View call logs. Confirm that no unAuthApiKey or timeout errors appear, and the request status code is 200.
Adjust the filtering conditions and call again. Confirm that returned results follow the preset financing_channel or store_region filtering rules.

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.