Reference only; verify against the target FastGPT release and deployment documentation.
What this category of data looks like
Data for this category mainly comes from the national discharge permit management information platform, corporate environmental protection ledgers, online monitoring systems, and environmental statistics systems. The update frequency is quarterly. Daily involved documents include discharge permit application forms, implementation reports, self-monitoring plans, ledger records, change applications, and permit copies. Most document fields contain professional environmental protection terms such as emission limits, monitoring frequency, permitted emission quantities, and implementation status. Units include standard environmental monitoring units such as tons per year and milligrams per cubic meter.
What constraints these characteristics impose on the forms and interactions link
Data for this category is multi-source, scattered, and updated quarterly. This requires the forms and interactions link to support fast cross-system data calls, and avoid duplicate entry of compliance information. Fields in professional environmental protection documents contain a large number of specialized terms and standard units. Forms need to be configured with targeted input validation rules to prevent errors from non-professional input. For the party building learning Q&A scenario, interactions must balance professional compliance and learning guidance logic. They must also align with the quarterly updated knowledge base synchronization rhythm, to ensure Q&A content uses the latest permit specification data.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
formInput | Enable professional term validation, set input length limit to 200–500 characters | Adapt to input scenarios for professional discharge permit documents, filter invalid overly long queries |
userSelect | Preset 3 high-frequency classification options: implementation report review, ledger verification, change application | Match core daily work links, simplify user input process |
| Single search limit | Top 8 entries | Cover core discharge permit reference documents, avoid redundant information interfering with Q&A |
| Maximum context | 1200 characters | Adapt to the scale of quarterly updated knowledge base content, ensure Q&A includes complete compliance information |
| Question optimization | Calibrate based on actual testing | Adapt to party building learning scenarios, optimize popular interpretation of professional terms |
| Voice input support | Only enable local speech-to-text interfaces | Avoid compatibility issues with browser native functions, ensure stable input |
Three Common Misconfigurations
- The interface prompts that the browser does not support voice input, and voice input is unavailable in all browsers. Cause: The local speech-to-text interface is not configured, and the browser's native speech function is relied on. Native functions may be restricted in some environments.
- The Q&A result includes the phrase "Citation: [1]". Cause: The output configuration for knowledge base citation markers is not turned off, causing retrieved document source markers to be included in the response.
- When parsing Excel documents related to discharge permits, an incomplete command prompt is returned. Cause: No field mapping rules for Excel parsing are configured, causing the large model to fail to recognize the specialized field structure within the document.
How to Confirm the Configuration is Complete
- Submit a test professional discharge permit question, check if the input component triggers professional term validation.
- Select a preset classification option, confirm if the interaction flow directly jumps to the corresponding Q&A module.
- Initiate a search, check if the number of returned results matches the preset single search limit.
- Test the voice input function, confirm that voice can be converted to text normally for query submission.
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.