What the data for this category looks like
Data related to business handling in the basic chemical industry comes primarily from internal enterprise production scheduling manuals, safety operation procedures, administrative approval service guidelines, and equipment operation and maintenance archives. Data updates follow a monthly schedule. Some emergency documents are updated in real time alongside special inspection results. Most individual documents use a mix of structured and semi-structured formats. They include fields such as equipment number, operating parameters, and approval process nodes. Units used follow industrial standards, including megapascals, degrees Celsius, cubic meters, and tons. Some process documents include precondition verification rules.
Constraints on Multi-turn Dialogue and Prompt Engineering from These Characteristics
Mixed use of professional terminology and industrial units requires that prompts for multi-turn dialogue include built-in basic chemical industry terminology verification rules. This avoids parameter matching errors. The presence of structured fields requires multi-turn conversations to guide users to fill in required items such as equipment number and operating pressure step by step, following process nodes. This prevents missing key information. The monthly document update cycle requires multi-turn dialogue context recall to limit results to documents from the last 30 days. This avoids referencing expired rules. The node-based structure of approval processes requires prompts to clearly state pre-verification conditions for each link. This prevents handling errors caused by cross-node jumps.
Configuration Settings
| Configuration Item | Recommended Practice | Rationale |
|---|---|---|
chatId | Generate a unique string identifier per session | Adapts to FastGPT v4.17.0's session isolation mechanism, used to isolate context data for multi-turn conversations and avoid interference between different users' handling processes |
messages | Retain 8–12 recent conversation turns | Covers the complete node process of basic chemical industry business handling, prevents loss of key pre-handling information |
variables | Preset fixed fields such as equipment type and safety threshold range | Reduces repeated input of professional parameters by users, improves conversation filling efficiency |
| Maximum context window | 8000–12000 token | Adapts to the length of basic chemical industry professional documents, avoids truncation of core operating rules and approval requirements |
| Question optimization strategy | Enable industrial term calibration | Automatically corrects unit or terminology errors in user input, matches the standard format of business data |
| Single recall limit | Top 6 matching documents | Controls the amount of context information, avoids redundant content interfering with logical judgment in multi-turn dialogue |
Three Common Misconfigurations
- Phenomenon: The output of the AI dialogue node is directly mixed into the return results of the business handling process, making it impossible to obtain task results separately. Cause: The dialogue flow output switch is not turned off in the node configuration, causing the node execution result to be directly written to the global conversation context.
- Phenomenon: Expired safety operation procedure content appears in multi-turn conversations, leading to failure of handling process verification. Cause: The document update time range for context recall is not limited, and outdated documents older than 1 month are recalled.
- Phenomenon: Equipment parameters input by users cannot match business data, and the conversation is interrupted. Cause: Professional variable fields are not preset, and term calibration is not enabled, leading to parameter formats not matching business data requirements.
How to Verify Correct Configuration
- Call the test interface, pass in
chatIdand simulated conversationmessages, check if the conversation context retains the specified number of turns according to the configuration. - Input test parameters including industrial units, check if the system can automatically calibrate terminology and unit formats to match business data fields.
- View the configuration of the AI dialogue node, confirm that the direct output switch is turned off, and verify that the task result only returns specified content.
- Pass in different business scenario variables, check if the preset fields in
variablesare automatically filled into the conversation, reducing repeated input operations.
The values provided here are common starting points and should be evaluated against the user'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.