What this category of data looks like
Work consultation data for metal material processing mainly comes from internal enterprise process logs, work procedure manuals, quality test report libraries, and industry standard documents. The data update rhythm follows production batches and policy adjustments. Process parameters for a single production task are updated per batch. General work guidelines are synchronized every quarter.
The document structure is divided into four categories: work instructions, declaration form templates, qualification verification requirements, and quality inspection judgment standards. Core fields include material grade, furnace batch number, specification dimensions, and mechanical performance indicators. Most units use industry standard units such as millimeters, megapascals, and tons.
What constraints these characteristics impose on the forms and interactions stage
The characteristics of metal material processing work consultation data impose multiple constraints on the forms and interactions stage.
Core fields often contain technical terms and specific units. Forms must preset unit options and term prompts to prevent non-standard user input. Data is updated dynamically based on production batches and policies. The interaction stage must support associating process parameters for the current production batch, to ensure called work instructions and qualification requirements use the latest versions.
Documents are categorized by work scenario. Forms must be split into modules for declaration, consultation, verification and other scenarios to avoid mixed information. Preset verification rules are required for the value ranges of professional indicators, to prevent invalid input that exceeds industry standards.
How to set up the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
formInput | Add regular expression validation for fields such as material grade and specification dimensions, preset units as millimeters and megapascals | Core fields often include professional units and fixed formats, to avoid invalid input |
userSelect | Provide dropdown options for work scenarios, including declaration, consultation, and qualification verification | Work scenarios for metal material processing are clearly defined, preset options improve interaction efficiency |
| Context call upper limit | Use the top 3 latest batch process data documents | Data is updated per batch, prioritizing latest batch content ensures accuracy |
| Model response timeout | 60 seconds | Professional consultation requires handling complex process issues, reserve sufficient response time |
| Document chunk length | 800–1200 characters | Process documents and standard texts are lengthy, chunk length adapts to complete reading of professional terms |
| Question optimization switch | Enabled | Professional consultation requires optimizing vague user input to match accurate work instructions |
Three common misconfigurations
- Phenomenon: The dialogue model returns process parameters that do not match actual logs. Cause: Failed to associate the latest data of the current production batch, called outdated document library content.
- Phenomenon: An error "receiving message address verification failed" is prompted when configuring DingTalk access. Cause: Failed to ensure the callback address is accessible over the public network, or failed to configure SSL certificate verification rules as required. This is a common issue in the work consultation interaction stage.
- Phenomenon: Unable to select a locally deployed large model as the provider. Cause: Failed to enable custom model access permissions in the configuration, failed to adapt to local data call requirements for metal material processing scenarios.
How to confirm the configuration is complete
- Submit a test form, check whether the unit preset and format validation for professional fields take effect.
- Call the latest batch process data, confirm that the document content associated with the form is the currently updated version.
- After configuring DingTalk access, send a test message, confirm that the callback address verification passes and messages can be received normally.
- Try calling a locally deployed large model, confirm that it can be selected normally in the model list and generate professional consultation replies.
The values provided here are common starting points, and should be evaluated 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.