Tool Calling and Plugins for Packaging and Printing

What the Data for This Category Looks Like

Marketing-related data for financial sector packaging and printing is primarily sourced from financial institutions’ production ERP systems, printing order management systems, customer design draft metadata databases, and marketing material asset libraries. Data update cycles align with project timelines: order and material information is synchronized when new wealth management or insurance products launch, while marketing assets are updated on demand per campaign nodes. Document structures rely primarily on structured fields, including order number, printing material, finished dimensions, printing gram weight, delivery quantity, marketing scenario (e.g., offline outlet display, e-commerce product detail pages) and other fields. Units follow industry standard measurements: millimeters, grams, pieces, yuan, and others. Some design draft files include original asset metadata in AI and PDF formats.

What Constraints These Characteristics Impose on Tool Calling and Plugins

Three key constraints apply to the tool calling and plugin workflow due to the multi-source, dispersed, and highly specialized nature of financial sector packaging and printing data. First, cross-system aggregation of financial institution ERP order data and marketing material library assets must be supported, to avoid information gaps from single data sources, and compliance with financial industry data regulations must be maintained. Second, preset mapping rules are required for specialized fields such as printing gram weight and lamination type, to prevent tool calling parameter deviations caused by AI recognition errors, which could compromise marketing material compliance. Third, design draft files have large sizes and varied formats; plugins must support large file parsing and multi-format metadata extraction, to avoid tool calling timeouts or parsing failures that delay financial product marketing launch timelines. Additionally, data updates follow no fixed schedule, so tool calling must support on-demand pulling of the latest data to adapt to project-based update rhythms, and prevent discrepancies between cached data and current financial product marketing information.

How to Configure the Settings

Configuration Item	Recommended Setting	Rationale
`tool_call_threshold`	`0.75`	High confidence is required for packaging and printing specialized fields (such as material, gram weight) to trigger tool calling, avoiding AI misjudgment
`external_data_source_type`	`SQL Server + Static File Library`	Financial institution packaging and printing data comes from the ERP SQL order database and marketing material file storage library, requiring adaptation to dual data sources
`parse_file_max_size`	`500 MB`	Packaging and printing design draft files (such as AI, PDF) typically have large individual file sizes, requiring support for large file parsing
`tool_call_timeout`	`300 seconds`	Cross-system pulling of printing orders and parsing design draft metadata requires longer processing time, avoiding timeout interruptions
`field_mapping_template`	Preset printing industry field mapping	Packaging and printing has exclusive specialized fields, preset mapping reduces manual configuration costs
`streaming_tool_call`	Enabled	Real-time return of tool calling progress during marketing content generation improves interactive experience

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 case-by-case analysis, and it is recommended to test on your own samples before finalizing settings.

Three Common Mistakes

Scenario: Tool calling fails after selecting the o1-preview model, with the log returning a model_not_supported error. Cause: The tool calling model is not configured as a model that supports tool calling. The o1-preview model requires dedicated tool calling configuration to function properly.
Scenario: Unable to connect to the SQL Server data source when calling the database plugin, with the log prompting connection refused. Cause: The data source type is not configured as SQL Server, or the correct database port 1433 and access whitelist are not configured.
Scenario: No tool calling is triggered after selecting a tool, and the AI directly generates a generic response, with the log returning a 400 Bad Request error. Cause: The tool_call_threshold parameter is not configured, or the threshold is set too high, causing the model to not meet the tool calling trigger condition.

How to Confirm the Configuration Is Complete

View tool calling logs to confirm that the confidence score when triggering tool calling exceeds the preset threshold, and that field mapping has no deviations.
Test the connection to the SQL Server data source to verify that core fields such as order_id and material_type of printing orders can be retrieved.
Enable the streaming output switch for the non-login window to verify that segmented streaming results are returned during tool calling.
Upload a printing design draft with a single file size that meets the configured requirements, and confirm that the plugin can normally parse metadata and return corresponding fields.

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.