What data looks like for this category
This category's data comes from formula and process libraries, raw material batch ledgers, reactor DCS systems, weighing record systems, LIMS laboratory information management systems, and warehouse systems. Daily documents include batch production instructions, feeding review sheets, reaction process records, cleaning records, test reports, deviation and change orders. Each document is bound to a unique batch number. Fields include feeding amount (unit: kg, L), reaction temperature (℃), residence time (hours), cleaning validation number, and others. Data is updated synchronously after each batch production is completed or each key process step is executed.
What constraints this category imposes on the tool calling and plugins link
The multi-batch, multi-step production characteristics of this category require tool calling to support precise filtering of process data scattered across multiple systems by batch number. This avoids mixing data across batches. The high data update frequency and unique batch binding require tool calling to be configured with real-time pull logic. This ensures the latest feeding, reaction, and cleaning records are returned. Formula confidentiality and cross-contamination prevention requirements require plugins to have built-in permission verification rules. Only calls to process documents within the authorized scope are allowed. The common multi-modal monitoring images of industrial reactors in this category need to adapt to general format and resolution limits. This prevents calling errors caused by format incompatibility.
How to set configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Allows the model to automatically select matching process data tools based on user questions, adapting to multi-scenario queries |
| Workflow/API function-call configuration | strict: true | Forces the model to return calling instructions in the preset tool parameter format, reducing invalid or incorrectly formatted calling requests |
| Multi-data source connection timeout threshold | 300 seconds | Industrial on-site systems have certain response delays. This threshold balances call success rate and process blocking risk |
| Batch data filtering rule | Precise matching by production batch number | Process data for this category is organized by batch. Precise matching avoids mixing invalid cross-batch data into Q&A results |
| Multi-modal image calling format limit | JPEG/PNG, resolution no higher than 2048×2048 pixels | Adapts to the general format and resolution of industrial reactor monitoring images, reducing invalid image errors |
| Number of data items returned by a single tool call | Top 10 | Process documents for a single batch in this category have many fields. Limiting the number of items avoids context overflow affecting Q&A effectiveness |
Three common mistakes
- A 400 invalid image error is returned when calling multi-modal process monitoring images. The cause is that the image format and resolution limits adapted for industrial scenarios are not configured, and the uploaded images do not meet the calling requirements.
- The data connection tool fails to return data normally after the SQL statement is configured. The cause is that the field rules for filtering by batch number for this category are not followed, and the SQL statement does not bind the unique batch parameter, resulting in returned data that does not match the current Q&A.
- Preset web search node content is not referenced in non-tool calling mode. The cause is that the forced trigger configuration for tool calling is not enabled, and the model is not required to call the search plugin to supplement process standard data.
How to confirm the configuration is complete
- Submit a test question that includes a specific production batch number and process monitoring images, and check whether the tool call returns the feeding, reaction records, and image analysis results of the corresponding batch.
- Write an SQL statement that complies with the batch filtering rules, and test whether the data connection tool can return accurate single-batch process data.
- Switch to non-tool calling mode, submit a question that requires reference to public process standards, and check whether the model does not actively call the search node.
- Confirm that the current FastGPT version is v4.17.0, to ensure that the configuration items are compatible with system requirements.
- Check whether the plugin permission rules have taken effect, and only authorized users can call sensitive process data tools.
The values provided here are common starting points and should be measured against the reader's own samples.