Internal Office and Employee Services for Administrative Penalty Case Handling: Multi-turn Dialogue and Prompt Engineering

Internal Office and Employee Services for Administrative Penalty Case Handling: Multi-turn Dialogue and Prompt Engineering

What this category's data looks like

Typical entities for this category include law enforcement agencies such as market supervision, ecological environment, transportation, emergency management, and urban management. Daily documents include on-site inspection records, interrogation transcripts, evidence lists, administrative penalty prior notice letters, hearing notice letters, penalty decisions, and service receipts. Data sources include administrative law enforcement case handling systems, law enforcement recorder footage, the national enterprise credit information publicity system, and departmental supervision databases. Update frequency is daily synchronization. Single case data includes fixed evidence materials, discretion basis, document templates, service records, and more. Fields cover illegal subject information, law enforcement node status, evidence association identifiers, and more. Data has no unified standardized format and must be isolated per individual case.

Constraints for multi-turn dialogue and prompt engineering

Due to multi-source, heterogeneous data sources and the requirement to isolate per individual case, multi-turn dialogue must bind a unique identifier to prevent context from crossing cases. Daily updated data sources require the knowledge base to support incremental synchronization to avoid old data interfering with current case handling. Core case handling steps rely on accurate matching of evidence and documents. Prompts must guide calls to documents within the target case to avoid generating content disconnected from evidence. Strict law enforcement compliance requirements also apply: dialogue must restrict generation of unaudited content, and only call stored law enforcement documents.

Configuration settings

Configuration ItemRecommended ValueRationale
Max Context Length8000–12000 charactersAdapt to the total length of multiple documents in a single case to avoid truncating key evidence content
Single Search LimitTop 6 entriesMatch the number of core documents for a single case to avoid introducing irrelevant cross-case materials
chatId Binding RuleOne-to-one correspondence with case handling IDEnsure multi-turn dialogue only associates exclusive documents and context for the current case
variables ConfigurationBind law enforcement subject type and case status variablesGuide prompts to adapt to document generation rules for different law enforcement scenarios
messages History RetentionRetain up to 20 rounds of dialogue for the current caseAvoid overly long context interfering with prompt logic for current case handling steps
Question Optimization SwitchEnabledAssist in sorting out vague questions from law enforcement personnel to accurately match corresponding law enforcement documents

Three common configuration mistakes

  • Phenomenon: The answer returned by the API differs from the output of the platform test interface. Cause: The chatId and current case handling ID are not bound in the API request, resulting in unisolated dialogue context and calling knowledge base content from non-target cases.
  • Phenomenon: Generated penalty documents omit key evidence content. Cause: The single search limit is not configured, introducing irrelevant cross-case documents, causing prompts to confuse evidence information from different cases.
  • Phenomenon: The floating dialog box embedded in the webpage cannot load historical conversation records. Cause: Historical conversation content for the messages parameter is not passed correctly, resulting in failure to load context normally.

How to verify correct configuration

Reference only; verify against the target FastGPT release and deployment documentation.

  • Initiate a platform test conversation, input the name of the illegal subject for the current case, and confirm returned content only associates uploaded documents for that case.
  • Include the chatId parameter when calling the API, compare the answers from the platform test interface and the API to confirm consistent results.
  • After embedding the floating dialog box, send multiple consecutive questions to confirm historical conversation content is correctly retained and associated with the current case.
  • Check the variables configuration to confirm law enforcement scenario variables are bound, and verify the prompt guides calls to corresponding law enforcement document templates.

The values provided 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.