What this category’s data looks like
This category’s data primarily comes from formula systems, raw material batch records, internal mixers, Mooney viscometers, rheometers, vulcanizing machines, and laboratory testing equipment. Daily generated documents include formula sheets, weighing records, mixing curves, rubber material quick test reports, vulcanization process cards, mold usage records, and finished product performance reports. Data is generated once per truckload of rubber material, per batch of raw materials, and per mold cycle of finished products. Fields include rubber batch numbers, mixing temperatures, vulcanization times, mold numbers, finished product performance parameters, and more. Units include degrees Celsius, seconds, batch identifiers, and others.
What constraints these characteristics impose on tool calling and plugins workflows
This category has high data update frequency, scattered data sources, and varied formats. This requires tool calling to support real-time retrieval of the latest mixing and vulcanization parameters, to avoid using expired historical data. Multiple types of business documents need plugins adapted to different data parsing logic, such as extracting feeding parameters from table-formatted formula sheets, and reading temperature changes from time-series mixing curves. API interfaces for industrial equipment data sources typically have strict access permissions and response delay limits. Request timeout and retry rules adapted for industrial scenarios must be configured. Additionally, errors in equipment inspection and maintenance directly lead to product scrap or early failure. Tool calling failure handling must include rapid alerting and process rollback capabilities.
How to configure the settings
This configuration is based on FastGPT v4.17.0. toolChoice is used to automatically select tools, and functionCall is enabled to support third-party interface calls. Specific parameters are listed below:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Workflow/API tool selection | auto | Automatically select the appropriate tool for different inspection scenarios, no manual switching required |
| Workflow/API function-call configuration | Enabled | Supports calling industrial equipment APIs and formula system interfaces to obtain real-time business data |
| Global variable initial value | Populated with preset fields from business documents | Matches the fixed field format of formula sheets and weighing records, prevents parameter mismatches |
| HTTP request timeout | 30–60 seconds | Adapts to the typical response delay range of industrial equipment APIs |
| Tool call retry count | 2 times | Addresses temporary request failures caused by industrial network fluctuations |
| Tool call return data limit | Top 10 entries | Adapts to the inspection data volume for a single batch of rubber material, avoids returning redundant information |
| Maximum context length | 8000–12000 tokens | Adapts to the content length of multiple documents such as mixing curves and vulcanization process cards |
| Cookie persistence configuration | Enabled | Adapts to device API interfaces that require authentication, correctly captures Set-Cookie fields |
Three common configuration errors
- Symptom: Corresponding fields are empty during tool calling after global variable initial values are set. Cause: The variable initialization step is not configured on the workflow startup node, or the initial values do not match the field naming rules of business documents.
- Symptom: The workflow proceeds directly to the tool calling step and returns an error after an inspection query is initiated. Cause: Pre-parameter verification logic is not configured, and the request carries invalid rubber batch numbers or equipment IDs.
- Symptom: The HTTP request module cannot parse the Set-Cookie field in the response, and the code execution module fails to call the API. Cause: Cookie persistence configuration for HTTP requests is not enabled, or the code execution module does not correctly encapsulate API authentication parameters.
How to confirm the configuration is properly set
- Trigger the workflow, check whether global variables correctly load preset field values such as rubber batch numbers and vulcanization process parameters.
- Send a simulated inspection request, confirm that tool calling correctly returns mixing curves from internal mixers or real-time operating data from vulcanizing machines.
- Simulate a network fluctuation scenario to trigger a tool call failure, confirm that the workflow automatically executes the preset retry mechanism.
- View HTTP request response logs, confirm that the Set-Cookie field is correctly captured and used for authentication in subsequent interface calls.
The values provided are common starting points and should be measured against the reader's own samples.