What Data for This Category Looks Like
Document and material drafting for the coal chemical industry primarily includes project feasibility study reports, safety pre-assessment reports, daily production reports, equipment operation logs, environmental emission reports, and similar content. Data sources cover internal enterprise ERP systems, production monitoring platforms, and industry standard document libraries. Update frequency varies significantly by document type: daily production reports are updated daily. Project feasibility study reports are updated in line with project phase iterations. Industry standard documents are updated quarterly or annually. Most document structures include fixed header fields such as coal type number, ash content, volatile matter, gas production volume, and others. These are paired with long-form text descriptions and structured tables. Field units include %, m³, hours, tons, and other standard units.
Constraints on Multi-turn Dialogue and Prompt Engineering Workflows
Professional parameters for coal chemical industry documents are numerous. Document structures are fixed. Update frequencies vary widely. These factors create multiple constraints for multi-turn dialogue and prompt engineering workflows. First, the large number of professional parameters with units requires prompt engineering to embed field validation rules. This prevents incorrect matching of numerical values and units. Second, differing update frequencies across document types require multi-turn dialogue to mark timestamps for historical data. This ensures referenced production data aligns with the current project phase. Third, long-form documents and fixed chapter structures require multi-turn context to prioritize core format guidance and recent interaction content. This avoids redundant historical content that interferes with document drafting accuracy.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId Binding Rule | Bind the unique identifier of the current coal chemical project | Ensures multi-turn dialogue context is tied to the specified project, preventing cross-project confusion |
| Maximum Context Length | 8000–12000 characters | Single coal chemical industry documents often span thousands of characters, requiring coverage for multi-turn interactions and document fragments |
messages History Retention Rule | Retain the most recent 8–12 interaction rounds and core document fragments | Avoids long context overflow, focusing on the latest needs for current document drafting |
variables Bound Fields | Bind 10 preset professional parameters including coal type ash content, gas production volume, etc. | Ensures consistency of professional parameters across multi-turn dialogue, reducing repeated inquiries |
| Question Optimization Switch | Enabled | Coal chemical industry terminology is highly specialized; optimization reduces model understanding bias |
| Single Recalled Entry Count | Top 6 entries | Matches core chapters of coal chemical industry documents, avoiding interference from redundant information |
Three Common Mistakes
- Phenomenon: When using API calls, conversation logs return redundant document title fragments. Cause: The initial prompt does not specify extraction of only the document main body, so the model references document metadata.
- Phenomenon: Multi-turn dialogue repeatedly asks for the same coal type parameters. Cause: Preset professional parameters are not bound via
variables, and professional values from historical interactions are not cached. - Phenomenon: Generated coal chemical industry documents lack fixed chapter structures. Cause: The standard chapter framework for coal chemical industry documents is not embedded in the initial prompt, and multi-turn dialogue does not retain format guidance information.
How to Confirm Proper Configuration
- Initiate a multi-turn dialogue containing coal chemical industry professional parameters. Verify that parameters bound via
variablesare automatically populated into interaction content. - View the conversation log. Confirm returned document content only includes the main body, with no redundant document titles or metadata fragments.
- Initiate more than 10 consecutive interaction rounds. Confirm context is truncated normally, with no content overflow or errors.
- Generate a single coal chemical industry document. Confirm it complies with preset chapter structure and parameter format requirements.
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.