What This Category’s Data Looks Like
This category’s data originates from business documents and device outputs produced by packaging processing entities including color printing, labels, cartons, flexible packaging, and pharmaceutical packaging materials. It includes pre-press files, imposition sheets, printing process sheets, ink color matching records, first-piece sample approvals, barcode inspection records, die-cutting and lamination records, and similar types. Data sources cover customer manuscripts, color management systems, printing press operational data, ink and substrate batch ledgers, spectrophotometer outputs, and barcode detector outputs.
Data is updated per order, batch, or each plate change. A single document contains fields such as version number, color parameters, batch information, and test results. There is no unified fixed unit, and the unit of each field adjusts based on the corresponding business link.
What Constraints These Characteristics Impose on the Tool Calling and Plugins Link
Since data is updated per order, batch, or plate change, tool calling must support triggering at individual business nodes to avoid mixing cross-batch data. Multiple types of heterogeneous documents — from text-format process sheets to numerically formatted test data from device outputs — require plugins to support parsing input of different formats. Plugins must adapt to vector formats of pre-press files, numerical outputs of spectrophotometers, and similar requirements.
The real-time requirements for test data such as barcode and die-cutting inspections require the response delay of tool calling to match production tempo. The setup must also support batch association of multiple link data from the same batch, to ensure that complete associated information such as first-piece sample approvals and ink records can be called during audits.
Configuration Settings
The following configurations are written based on FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto or specify custom tools | This category needs to call dedicated tools such as spectrophotometer data and barcode detector data. auto can automatically match available tools, and specifying custom tools can lock the compliant tool set |
| Workflow/API function-call configuration | Enabled, no more than 3 tools per single call | Single-batch audit needs to associate three types of data: imposition sheets, ink records, and barcode tests. Excessive calls will increase production tempo delay |
| Workflow node timeout | 600–1200 seconds | Parsing some pre-press files takes a long time, and batch data association needs to wait for multi-device data synchronization |
| Tool calling trigger timing | Trigger per order batch | Data for this category is updated per order or batch, to avoid mixing cross-batch data |
| Context window size | 8000–12000 token | Single-batch audit needs to associate imposition sheets, process sheets, and multiple test records, requiring sufficient context to carry complete business information |
Three Common Configuration Mistakes
- Phenomenon: When sending consecutive business requests via the FastGPT API, subsequent requests must wait for the completion of prior generations, and cannot interrupt the generation process in real time. Cause: The
toolChoiceparameter is not configured correctly, and the request interrupt trigger logic is not enabled, causing the server to process requests in queue order. - Phenomenon: When using a custom URL to pass documents such as pre-press files and imposition sheets, the tool returns empty results with no error messages. Cause: The corresponding URL domain name is not added to the tool call whitelist, or the plugin is not configured to adapt to the vector format document parsing rules for this category.
- Phenomenon: When calling the service via API, cross-domain access errors or request interception occur. Cause: The allowed cross-domain sources are not configured on the server, and the business domain name for this category is not added to the cross-domain whitelist.
How to Verify Correct Configuration
- Initiate consecutive simulated order requests, verify that subsequent requests can interrupt prior generation processes in real time, and confirm that the
toolChoiceconfiguration is effective. - Pass a pre-press file via a custom URL, check whether the parsed results returned by the tool include category-specific fields such as plate number and color parameters, and confirm that the whitelist and parsing rule configurations are correct.
- Run the complete workflow, check whether the model output automatically triggers the document generation plugin and generates files that meet archiving requirements, and confirm that the
functionCalland plugin binding configurations are correct. - View the server cross-domain configuration logs, confirm that the allowed sources include the business domain name, and that cross-domain requests can be initiated normally.
The values provided are common starting points and should be measured against the reader's own samples.