What the Data for This Category Looks Like
Coal chemical industry work consultation and reply data mainly comes from internal work guidelines, safety operation procedures, equipment operation logs, on-site inspection records, and government work item lists of state-owned and central coal chemical enterprises. The data update rhythm is as follows: safety procedures are revised once a year, equipment logs are updated in real time with operation actions, and work guidelines are updated every quarter. The structure of a single document includes item number, handling process, required materials, consultation phone number, and corresponding working condition parameters. Field units uniformly use industry standard units such as MPa, ℃, t/h.
What Constraints Do These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
Coal chemical industry consultation data contains a large number of professional working condition parameters and fixed handling processes. This requires multi-turn dialogue to accurately associate professional terms and item numbers in the context. The real-time updated equipment logs require that dialogue context must synchronize the latest data regularly to avoid referencing outdated information. The fixed handling process structure requires prompts to guide dialogue to break down problems step by step, avoiding missing key handling links. The presence of professional units requires prompts to clearly require replies to use industry standard units to prevent expression ambiguity.
The following configurations are formulated for FastGPT v4.17.0.
How to Configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum context length | 8000–12000 token | Coal chemical industry consultation documents contain equipment parameters and process steps, with relatively long length |
messages | Retain the latest 15 conversation records | Avoid context overload that affects response speed |
variables | Pre-set 12 coal chemical industry professional term variables | Unify professional expressions and reduce ambiguity |
chatId | Bind business work order ID | Associate dialogue with handling matters to facilitate subsequent traceability |
| Single search upper limit | Top 8 recalled results | Consultation-related documents are concentrated, too many results will distract attention |
| Conversation timeout period | 300 seconds | Coal chemical industry consultation replies are relatively long, requiring sufficient response time |
Three Common Configuration Mistakes
- Issue: After adjusting the conversation context length, historical records are not retained correctly, and search results overwrite context content. Cause: The number of retained entries for the
messagesparameter is not limited, causing search recalled results to occupy context space. - Issue: After uploading coal chemical industry on-site equipment images, the interface displays that the content cannot be parsed, and no interpretation results are returned. Cause: Image analysis configuration is not enabled, or a dedicated image recognition prompt for coal chemical industry scenarios is not configured.
- Issue: After calling the conversation interface, all conversation records cannot be exported, and the returned log field is empty. Cause: The
chatIdparameter is not bound correctly, or the conversation log storage switch is not enabled.
How to Verify Successful Configuration
- Initiate a multi-turn conversation containing coal chemical industry professional terms, check whether the context is correctly associated during the conversation, and whether professional term expressions are unified.
- Upload coal chemical industry on-site equipment images, verify whether content interpretation can be triggered, and whether the output results include professional parameter recognition.
- Call the conversation interface with the
chatIdparameter, check whether complete conversation records of the corresponding handling matter can be returned. - Adjust the maximum context length parameter, verify whether the conversation history is retained according to the set number of entries.
The values given 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.