What data for this category includes
Data comes from EHS departments and production inspection and maintenance teams of chemical, metallurgical, machinery, light industry and other manufacturing enterprises. Daily documents include risk identification records, hot work permits, confined space work permits, hoisting operation permits, gas monitoring records, hazardous waste ledgers, emission monitoring data, and accident and hidden danger rectification reports. Data sources cover regulatory standards, online environmental monitoring equipment, gas detectors, operator qualification lists, equipment isolation lists and supervision platforms. Updates are triggered by job processes, updated in real time per monitoring cycles, or updated via periodic inspections. Document fields include operation type, monitoring value, qualification validity period, isolation status and other fields, adapting to specialized requirements of different operation scenarios.
Constraints on multi-turn dialogue and prompt engineering
Data for this category is scattered and diverse in type. It covers real-time monitoring values, semi-structured operation permits, periodically updated qualification documents and regulatory content. Multi-turn dialogue must call information across different data sources. Prompt engineering must clearly distinguish verification rules for different operation scenarios such as hot work and confined space operations. Real-time monitoring data must pull the latest values quickly during dialogue. Periodically updated regulatory and qualification information must be synchronized to the dialogue context. Operation documents have no unified format. Multi-turn dialogue must gradually guide users to supplement missing fields. It must also conduct veto item verification in combination with compliance requirements, to avoid safety or compliance risks caused by missing information.
Configuration Settings
The following configurations are adapted for FastGPT v4.17.0.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId persistence configuration | Enabled | Ensures the session ID for this conversation remains consistent, avoiding context resets |
| Maximum context length | 8000–12000 characters | Covers the typical length of a single operation permit plus multiple monitoring records, preventing critical compliance information from being truncated |
messages context turn limit | Last 10 conversation turns | Matches the multi-step confirmation flow of operation audits, avoiding redundant historical content interfering with current verification |
| Timeout threshold | 600 seconds | Allows sufficient time to pull cross-source monitoring data and qualification information, adapting to real-time data query delays |
variables variable preset pool | Bound to operation type, monitoring point | Automatically brings fixed parameters for the operation scenario, reducing repeated user input |
| Single search limit | Top 5 matching results | Focuses on the most relevant regulations and operation requirements, avoiding irrelevant information interfering with audit logic |
Three Common Configuration Errors
- Symptom: Slow response when initiating a conversation for the first time. The wait time for the first response exceeds 3 seconds, and subsequent conversation speeds return to normal. Cause:
chatIdpersistence configuration is not enabled. Each conversation reinitializes the context and pulls all associated data, leading to increased initial loading time. - Symptom: Recalled compliance information in the conversation does not match the current operation scenario, with too many or too few result entries. Cause: The
messagescontext turn limit is not set. Redundant historical conversations interfere with the judgment of the current operation type, leading to errors in the recall logic. - Symptom: After configuring a dialogue node in the workflow, the question cannot be triggered automatically, and manual triggering is required. Cause: No initial prompt binding is configured in the dialogue node, and no automatic question trigger logic is set, leading to the need for manual dialogue initiation.
How to Verify Successful Configuration
- Initiate a first conversation, verify that the response delay meets expectations, and confirm that the same operation scenario verification logic is used throughout the conversation, with no need to repeatedly select the operation type.
- Initiate a conversation with multiple rounds of information supplementation, check that the system only retains the specified number of recent conversation turns, with no redundant historical content interfering with the current audit steps.
- After configuring the
variablesvariable preset pool, initiate a conversation for the corresponding operation type, check whether the fixed parameters of the operation scenario are automatically brought into the dialogue context. - Simulate a scenario where online monitoring data is pulled, verify that no timeout errors occur in the conversation, and that the response process meets the configured timeout threshold requirements.
The configuration values listed above are common starting points. Adjust them based on your own specific samples and use cases.