Tool Calling and Plugins for Baijiu Financing Daily Reports

What the Data for This Category Looks Like

Baijiu financing daily report data comes from three main sources: enterprise financing announcements released by national alcohol circulation industry associations, regular and interim announcements of listed baijiu companies, and transaction data from alcohol supply chain financial platforms. Data is fully updated for the prior day every early morning. Each data entry includes six core fields: full enterprise name, financing round identifier, financing amount value, investor list, disclosure date, core business category, and fund usage direction. The financing amount field uses ten thousand yuan as the unified unit. The financing round field uses industry-standard standardized terminology, with no custom classifications.

Constraints Imposed by These Characteristics on Tool Calling and Plugins

The scattered data sources for baijiu financing daily reports require a multi-data source aggregation plugin for the tool calling workflow. The plugin must support connecting to three types of data sources: industry associations, listed company announcements, and supply chain platforms. The daily update rhythm requires setting the plugin’s execution cycle to a natural day dimension, to avoid repeated pulling of invalid data. Standardized financing amount units and financing round enumeration values require tool calling parameter validation rules to forcibly match preset enumerations and unit formats, to prevent parsing errors. The investor list is an array field, so the plugin must support extracting and concatenating array fields to meet downstream display needs. Duplicate disclosure exists across multi-source data, so built-in deduplication rules must be configured, using enterprise name and disclosure date to match and remove duplicates.

Configuration Settings

Configuration Item	Recommended Value	Rationale
`plugin_datasource_list`	`["Alcohol Circulation Association Data Source", "Listed Company Announcement Data Source", "Supply Chain Finance Data Source"]`	Covers the core data sources for baijiu financing daily reports, meeting the business requirement for multi-source aggregation
`plugin_trigger_cron`	`0 1 * * *`	Matches the daily early morning update rhythm of daily report data, triggering data pulling during off-peak business hours
`plugin_field_validation_enable`	Enabled	Forcibly validates the financing amount unit and financing round enumeration format, reducing parsing errors
`plugin_array_parse_mode`	Comma-separated concatenation	Converts the investor array field into readable text, adapting to downstream display scenarios
`plugin_deduplication_enable`	Enabled	Removes duplicate records from multiple sources based on the `enterprise_name` and `disclose_date` fields
`plugin_timeout`	`600 seconds`	Adapts to the response time of multi-data source pulling, avoiding timeout interruptions during execution

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. Each scenario requires specific analysis. It is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Phenomenon: When using the deepseek-r1 model to configure a tool calling workflow, the tool calling trigger rate is much lower than that of similar models, and returned results do not meet expectations. Cause: The model’s tool_call_prompt parameter is not configured, and format requirements for tool calling are not clearly specified, causing the model to fail to correctly recognize calling instructions.
Phenomenon: After configuring a global Number type counter plugin, the counter does not perform a +1 operation after the AI completes its response. The plugin returns a status code 200 but the count field is not updated. Cause: The plugin’s update_trigger configuration is set to trigger only during the tool calling phase, and is not set to automatically execute updates after answer generation.
Phenomenon: When using an image generation plugin, after passing parameters such as lora_weight=0.8, aspect_ratio=4:3, and lora_name=flux_Q版齐天大圣.s, the plugin returns a 400 Bad Request error and cannot generate the target content. Cause: The Lora support switch is not enabled in the plugin configuration, and the Lora file is not uploaded to the storage path specified by the plugin.

How to Confirm Proper Configuration

View plugin runtime logs to confirm that all configured data sources have successfully pulled data, with no abnormal error records.
Manually trigger a single plugin execution, and check whether the format of the investor field in the output results meets the preset display requirements.
Compare the original pulled data and the processed data to confirm that duplicate disclosure records have been correctly removed.
Configure test cases to simulate the scenario of AI calling tools, and confirm that the tool triggering process executes normally.

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.