Internal Office and Employee Services for Petition Matter Handling: Multi-turn Dialogue and Prompt Engineering

Internal Office and Employee Services for Petition Matter Handling: Multi-turn Dialogue and Prompt Engineering

What this category's data looks like

Data sources for this category include the national petition information system, local petition systems, the 12345 citizen hotline platform, grassroots governance platforms, and historical petition archives. The update frequency is daily. Daily documents include petition registration forms, acceptance notices, transfer and assignment letters, handling opinions, review and re-examination applications, and resolution plans. Single data entries include structured fields such as appeal content, handling progress, responsible unit, and policy basis, alongside unstructured formal document content. The overall data structure supports both form filling and official document formatting.

Data comes from multiple systems and updates daily, so sessions must bind a unified context via chatId to avoid cross-system data confusion. Documents mix structured forms and official papers, so prompt engineering needs to distinguish between field validation and policy interpretation logic. The most time-consuming steps of verifying acceptance scope and coordinating responsible units require multi-turn dialogue to guide users to supplement necessary information, while avoiding overly long session contexts interfering with core judgments. It must also adapt to the business habits of petition offices at different levels, ensuring prompt engineering complies with legal handling procedures.

How to set up the configuration

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

Configuration ItemRecommended SettingRationale
Session context retention duration24 hoursMatches the daily data update frequency to ensure session continuity for same-day petition matters
messages context truncation thresholdFirst 8 rounds of dialoguePrevents overly long contexts from interfering with policy basis matching and handling logic judgment
variables field binding scopeAssociated required fields of the petition registration formMatches the structured form structure of category documents to ensure complete information
Maximum tokens per single session8000–12000 tokenAdapts to content carrying for long documents such as handling opinions and resolution plans
variables validation switchEnable required field validationReduces handling process delays caused by missing information
Question optimization switchCalibrate based on actual testingAdapts to communication styles and business habits of petition offices at different levels

Three common mistakes

  • After enabling variables field validation, a 422 status code is returned when submitting a simulated appeal. The cause is that required fields of the petition registration form are not bound, resulting in missing session parameters.
  • Attempting to modify the new conversation popup style but seeing no effect. The cause is that the wrong code file was modified instead of the front-end rendering module for private deployment.
  • Using title hierarchy separators for knowledge base chunking leads to overly inaccurate retrieval results. The cause is that petition documents mix structured forms and official papers, with inconsistent title hierarchies causing chunk breaks and loss of key policy basis content.

How to confirm the configuration is complete

  • Initiate a simulated petition appeal, check if the session binds historical dialogue context via chatId.
  • Enter required fields of the petition registration form and submit, verify if variables validation triggers correct completion prompts.
  • Import a handling opinion document, check if chunked content retains complete policy basis paragraphs.
  • View session logs, confirm that the messages context does not exceed the set first 8 rounds truncation threshold.

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.