What data for this category looks like
Data sources for packaging and printing research reports include professional research institutions in the light manufacturing sector, public reports from industry self-regulatory organizations, and regular disclosure documents of listed packaging and printing enterprises. Updates follow the release timeline of research reports. Regular reports and temporary reports triggered by sudden industry events are updated simultaneously. Document structures include modules such as overall industry trends, production data for segmented product categories, upstream and downstream supply chain correlation information, and policy impact analysis. Fields cover production scale, raw material unit price, and downstream order volume, with corresponding units of ten thousand tons, yuan per ton, and ten thousand units respectively.
What constraints these characteristics impose on tool calling and plugins
Scattered data sources for packaging and printing research reports require tool calling workflows to support multi-source plugin aggregation. Cross-data source parameter mapping rules must be configured. Non-fixed update rhythms require plugins to support incremental pull logic, to avoid resource occupation from full pull operations. Complex document structures require configuring precise field extraction thresholds during tool calling, to only extract exclusive data for packaging and printing segmented product categories. Specific field units require plugins to automatically align units when returning results, reducing subsequent data cleaning costs. Temporary research reports triggered by sudden industry events require plugins to support real-time trigger pull, to ensure data timeliness.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
max_tool_calls_per_round | 3–5 calls | Packaging and printing research report data is distributed across multi-source plugins. Controlling the number of calls per round within a reasonable range avoids timeouts |
plugin_request_interval | 2–3 seconds | Some data source interfaces have call frequency limits. This setting prevents 429-class errors |
field_extraction_threshold | 0.85–0.95 | Packaging and printing research report fields have exclusive identifiers. A threshold that is too low will mix in data from unrelated industries |
plugin_timeout | 600 seconds | Single packaging and printing research report has a large data volume. The timeout setting must be adapted to long document processing |
unit_alignment_switch | Enabled | Packaging and printing research report field units follow specific formats. Enabling this switch automatically aligns to uniform units |
multi_source_aggregation_mode | Weighted merging mode | Multi-source data has caliber differences. Weighted merging ensures data consistency |
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 specific analysis. It is recommended to test on your own samples before finalizing settings.
Three Common Mistakes
- A 429 Request rate increased too quickly error is returned when calling the model. The cause is that the
plugin_request_intervalparameter is not set, and the tool call frequency exceeds the interface limit. - A MongoServerError: The dollar ($) p error occurs during plugin configuration. The cause is that FastGPT beta4 version is used, and the plugin dependencies are incompatible with mongo:4.4.29.
- A prompt that the browser tool cannot load images is returned. The cause is that the image proxy function is not enabled in the plugin configuration, or the allowed image source domain names are not configured.
How to Confirm Configuration is Complete
- Initiate a test call, check whether the returned result fields only cover packaging and printing related content, and confirm that the filtering logic of the field extraction configuration is effective.
- Initiate multiple consecutive tool calls, check whether frequency limit errors are triggered, and confirm that the call interval configuration meets the data source requirements.
- View the MongoDB connection logs on the plugin management page, confirm that there are no version compatibility exceptions, and verify that the plugin dependency configuration is correct.
- Trigger a research report pull for sudden industry events, confirm that the tool can return the latest data in a timely manner, and verify that the real-time trigger configuration is effective.
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.