What This Category’s Data Entails
Daily documents for this specific category include inspection plans, inspection target lists, inspection item lists, on-site inspection records, rectification notices, and inspection result announcements. Data sources include the "Double Random, One Public" regulatory platform, enterprise credit information disclosure system, industry regulatory systems, and law enforcement officer directory. The data update frequency is usually once per month. Core fields include the unified social credit code of inspection targets, law enforcement officer ID numbers, inspection item entries, and inspection batch numbers. Field boundaries between different documents are clear, with no redundant cross-document fields. The total character count of law enforcement-related documents for a single batch typically ranges from several thousand to tens of thousands.
What Constraints These Characteristics Impose on Multi-turn Dialogue and Prompt Engineering
The data update frequency is once per month, so knowledge base synchronization for multi-turn dialogue does not need high-frequency triggers. A full update once per month is sufficient to ensure content timeliness. Core documents contain multiple types of structured fields, with clear boundaries between different documents. Prompts must clearly define retrieval scopes to avoid confusing inspection target lists and law enforcement officer directories. The total character count of law enforcement-related documents for a single batch is large. The context length for multi-turn dialogue must be strictly controlled to prevent content truncation caused by exceeding the model’s context limit. Law enforcement tasks are usually associated with specific inspection batches. Multi-turn dialogue must retain context information for the current batch to ensure each reply is generated based on the parameters of the current law enforcement task.
Configuration Settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId persistence | Enabled, retain for 7 days | Law enforcement tasks typically span multiple dialogue turns, this configuration ensures context is linked to the current inspection batch |
variables binding | Bind two system variables: inspection batch and inspection target scope | Multi-turn dialogue requires fixing core parameters of the current law enforcement task to avoid context confusion |
messages parameter configuration | System prompt limits usage to only bound knowledge base content | Prevents the model from returning unauthorized rule content, complying with compliance requirements for law enforcement scenarios |
| Maximum context length | 8000–12000 token | The total character count of law enforcement-related documents for a single batch is large; this range covers context needs for most law enforcement tasks and avoids content truncation |
| Single recall limit | Top 5 entries | Relevance ranking of regulatory documents must prioritize matching current inspection items; limiting recalled entries improves reply accuracy |
| Knowledge base synchronization cycle | Once per month | Data update frequency is typically once per month; this cycle matches the update rhythm of data sources |
Three Common Misconfigurations
- Phenomenon: Trailing symbols for tracing rules appear in multi-turn dialogue reply results. Cause: The system prompt in the
messagesparameter does not explicitly prohibit the model from referencing rule content outside the bound knowledge base. - Phenomenon: Some sessions return empty inspection target matching results during high-concurrency calls. Cause: No session-level isolation is implemented for
chatId, causingvariablesparameters from different law enforcement tasks to be overwritten and leading to context conflicts. - Phenomenon: Dialogue output does not include the large model's thinking process. Cause: The system prompt in the
messagesparameter does not include a requirement to display the thinking process, or the corresponding interface configuration item is not enabled.
How to Verify Proper Configuration
- Initiate a multi-turn dialogue for a single-batch law enforcement task. Check that reply results only include bound regulatory document content, with no additional built-in rule tracing symbols.
- Initiate 2-3 concurrent sessions. Check that the
variablesparameter for each session correctly binds the inspection target list for the corresponding batch, with no parameter confusion. - Review the system prompt to confirm it includes a requirement to display the thinking process. Initiate a dialogue to verify that the output includes the thinking process.
- Wait one month and check the knowledge base synchronization status. Confirm that the latest inspection item list has been updated to the dialogue knowledge base.
The values provided 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.