What Data for This Category Looks Like
Internal office data for metal material processing mainly comes from production workshop PLC control systems, online quality inspection equipment, the enterprise ERP material management system, and equipment operation and maintenance logs. Data is divided into three categories by type: real-time process parameters, daily quality inspection reports, and monthly material inventory ledgers. Update cycles cover real-time, daily, and monthly. A single document typically includes process number, batch number, detection values and corresponding units such as MPa, mm, ℃. Fields are fixed and strongly bound to the production process, with no redundant unstructured content.
Constraints Imposed by These Characteristics on Model Access and Configuration
Real-time updated process parameters require the knowledge base synchronization cycle to align with the data update rhythm, to avoid returning outdated information. Professional fields with fixed units require the model output to strictly match preset units, which must be clearly specified in the prompt. Long document structures require adjusting context capacity parameters to prevent content truncation. Multi-source heterogeneous data requires clear format verification rules for data access during configuration, to ensure unified field mapping across different systems. Additionally, internal environments of state-owned and public enterprises require that data access does not cross domains, and must adapt to API endpoints deployed on the internal network.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value Range | Rationale |
|---|---|---|
maxContext | 8000–12000 token | Metal processing documents often contain long paragraphs of process parameters and quality inspection data, requiring context capacity to accommodate multiple associated documents |
quoteMaxToken | 1500–2000 token | Core content length of a single quality inspection report or equipment log, ensuring referenced content is complete and does not overflow the context |
temperature | 0.1–0.3 | Professional parameter queries require strict matching of standard terminology, reducing the probability of random output |
vision | Enabled | Supports recognition and display of flaw detection images and process drawings in quality inspection reports, matching image return requirements for internal office scenarios |
AIPROXY_API_ENDPOINT | Fill in according to the enterprise's internal network deployment address | Adapts to the internal network environment of state-owned and public enterprises, ensuring data does not leave the domain |
AIPROXY_API_TOKEN | Stored in the enterprise key management system | Complies with data security requirements of state-owned and public enterprises, avoiding plaintext leakage |
Three Common Mistakes
- Intelligent customer service returns content including images but fails to display them normally. The symptom is that the interface only shows text without image placeholders or links. The cause is that the
visionconfiguration item is not enabled, so the large model cannot recognize and associate image resources. - Unstable model calls occur after the same model is configured for two channels. The symptom is random channel switching or preferential use of an unexpected channel. The cause is that priority rules are not clearly configured, or parameters are not adjusted according to the platform's default priority logic.
- Workflow runtime error prompts "context overflow". The symptom is a token limit exceeded error returned in the runtime log. The cause is that the
maxContextconfiguration value is lower than the total token count of associated documents in the current batch, and does not match the content length of metal processing long documents.
How to Confirm Successful Configuration
- Initiate a query containing professional parameters such as yield strength or rolling temperature, and verify that the returned content matches the preset fields and units.
- Upload a quality inspection report document containing images, initiate a query associated with the images, and verify that the returned results include image displays.
- Configure two identical model channels at the same time, initiate high-frequency queries, and verify that the calling channels comply with the preset priority rules.
- View the workflow runtime log, and verify that no error messages such as context overflow or invalid key appear.
The values provided are common starting points and should be measured against the reader's own samples.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-28.