What the Data for This Category Looks Like
The data for this category mainly comes from coal mine production safety regulations, operating procedures, post responsibility system documents, daily dispatch records, hidden danger investigation ledgers, equipment operation and maintenance logs, and consultation and response archives from frontline posts. Data update frequencies are divided into real-time updates (daily hidden danger investigations, dispatch records) and scheduled updates (annual regulation revisions, standard iterations). Most documents are structured text, containing fields such as hidden danger level, equipment number, operation time period, rectification deadline. Units include production-related measurement standards such as meters, tons, hours, cubic meters, and others.
Constraints on Multi-turn Dialogue and Prompt Engineering
The structured fields and professional measurement units for this category require multi-turn dialogue to accurately match corresponding fields, to avoid confusion over key information such as hidden danger levels and equipment numbers. Real-time updated dispatch and hidden danger data require that multi-turn conversation contexts retain current operation time periods, scenarios and other limiting conditions, to prevent calling of expired historical data. Documents have large volume and clear chapter divisions, so prompts must limit recall scope to content from corresponding operation links, to avoid irrelevant documents interfering with response accuracy. Scheduled updated regulation documents require knowledge base synchronization frequency to match revision cycles, ensuring that rules cited in dialogues remain valid.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Maximum Context Length | 800–1200 characters | Matches the average length of single chapters of coal mine production documents, to avoid prompt overflow caused by overly long contexts |
| Question Optimization | Enabled | Adapts to the interaction habit of users supplementing operation scenarios and equipment numbers in multi-turn dialogue, optimizing retrieval accuracy |
| Single Search Limit | Top 6 entries | Covers key rule documents for a single operation link, avoiding redundant information interfering with responses |
chatId | Bind current session identifier | Ensures that context association for multi-turn dialogue is not interrupted, maintaining session state consistency |
messages | Concatenate in conversation order | Passes complete conversation history in interaction sequence, ensuring that prompts can obtain all context information |
variables | Bind operation scenarios and equipment numbers | Passes exclusive parameters, allowing prompts to accurately recall document content from corresponding operation links |
Three Common Misconfigurations
- Phenomenon: Using an AI dialogue component in a workflow triggers an uncaught exception, returning the prompt "Configuration file is incorrect". Cause: Association parameters between the knowledge base and dialogue components are not correctly configured in private deployment scenarios, causing the session to fail normal calls to knowledge base data.
- Phenomenon: Uploading a file during dialogue triggers a parsing error, returning empty results or invalid content. Cause: The association logic between the file storage path and document parsing tool is not correctly bound, causing the tool to fail reading the actual storage address of the uploaded file.
- Phenomenon: Initiating a dialogue via the API generates a response that does not reference document content within the knowledge base. Cause: Context fragments recalled from the knowledge base are not correctly carried in the
messagesparameter, causing the prompt to fail limiting the retrieval scope.
How to Verify Successful Configuration
- Initiate a simulated multi-turn dialogue containing equipment numbers and hidden danger levels, and check whether the response content accurately matches the corresponding fields and operation scenarios.
- View session logs, confirm that the
chatIdparameter remains consistent during continuous interactions, with no context breaks. - Trigger a knowledge base synchronization task, check whether the update log contains the latest regulations and dispatch records, to ensure data timeliness.
- Upload a test equipment operation and maintenance log file, check whether the document parsing tool can normally read and return structured fragments.
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.