What data for this category looks like
This category of data comes from customer manuscripts, color management systems, printing press operation data, ink and substrate batch records, spectrometers, barcode detectors and other equipment and systems. Daily documents include pre-press files, imposition sheets, printing process sheets, ink color matching records, first article proof samples, barcode inspection results, and die-cutting and lamination process records. Data updates trigger with every order, production batch, and plate change. Each document includes fields such as process parameters, batch information, and inspection results. Units are adjusted based on the data type of the corresponding process.
What constraints these characteristics impose on model access and configuration
This category of data updates frequently and originates from scattered sources. Multiple document types are created regularly with each order, production batch, and plate change, including text parameters and image-based inspection results. Models must integrate cross-system fields for data linked across multiple processes, so model access must support context processing for high-frequency incremental data. Some documents include visual content such as printed proof samples and barcode images, so models must support visual recognition. Errors can result in entire production batches being scrapped, so model output randomness must be limited, and field extraction accuracy must be ensured. As a result, parameter configuration must balance flexibility and stability.
How to set the configuration
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
AIPROXY_API_ENDPOINT | API address of a locally deployed VLLM, such as http://192.168.1.100:8000/v1 | Adapts to locally deployed Qwen3 series models, and conforms to the FastGPT proxy access format |
AIPROXY_API_TOKEN | Access key configured for local deployment, leave blank if none | Matches the security verification rules of VLLM deployment |
vision | Enabled | Documents in this category contain visual content such as first article proof samples and barcode images, requiring image recognition support |
temperature | 0.2–0.4 | Controls output randomness to avoid production errors caused by deviations in field extraction |
maxContext | 8000–12000 token | Adapts to the need for multi-document context integration for multi-batch production ledgers |
maxTokens | 2000–3000 token | Meets the requirement for complete output of a single production report |
Three common mistakes
- After uploading a first article proof sample image, the model returns that it cannot provide image content. The cause is that the
visionconfiguration item is not enabled, or visual model access has not been adapted. - A connection error occurs when testing a locally deployed Qwen3 series model via VLLM. The cause is that the port in the
AIPROXY_API_ENDPOINTconfiguration address is incorrect, or the deployment access key is not correctly matched. - After configuring a multimodal model, the generated ledger report fails to extract barcode inspection results. The cause is that the
maxContextconfiguration is too small to fully load the text information associated with the barcode image.
How to confirm the configuration is correct
In FastGPT v4.17.0, the configuration effect can be verified through the following actions:
- Upload a single first article proof sample image to a chat node, trigger model recognition, and confirm that the returned result includes the text and barcode information on the proof sample.
- Call the configured local model interface, input a test imposition sheet text, and confirm that no connection error is returned.
- View the model configuration page, and confirm that key configuration items such as
visionandAIPROXY_API_ENDPOINThave been saved correctly. - Generate a single-batch production ledger report, and confirm that the output content includes category-specific fields such as ink batch and die-cutting records.
The values provided here are common starting points and should be evaluated against the reader's own samples.