Internal Office and Employee Services for Fiscal Expenditure Performance Evaluation: Multi-turn Dialogue and Prompt Engineering

Internal Office and Employee Services for Fiscal Expenditure Performance Evaluation: Multi-turn Dialogue and Prompt Engineering

What this category of data looks like

The data for this category comes from the unified budget management system, project declaration materials, fund payment data, business system ledgers, and satisfaction surveys. The update frequency is annual. Daily documents include performance target forms, self-evaluation forms, performance evaluation reports, supporting material lists, and rectification reports. Fields cover project numbers, fund amounts, performance indicators, completion status, supporting material numbers, and other items. Units are mostly yuan, items, and person-times. Data must link fund payments with performance target completion status. No temporary supplementary cross-year data exists.

Constraints Imposed on Multi-turn Dialogue and Prompt Engineering Workflows

The annual update requirement means multi-turn dialogue contexts must be bound to the current year’s project pool. This avoids interference from cross-year data. The mixed structure of multiple document types requires prompts to clearly distinguish between performance targets, self-evaluation results, and supporting materials. This guides conversations to focus on corresponding types of information. The requirement to link fund and performance fields means conversations must clarify project dimensions. This avoids result deviations from vague queries. The low data update frequency means there is no need to frequently refresh the full index. Annual vector database resources can be fixedly linked to reduce system load.

Configuration Settings

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

Configuration ItemRecommended ValueRationale
Maximum context lengthFirst 12000 charactersMatches the total single-batch length of annual performance documents for this category, to avoid truncating critical linked data
Single search limitTop 8 entriesCovers multiple types of supporting materials for a single project, ensuring complete retrieval results
chatId configurationBind to annual project session IDEnsures multi-turn dialogue contexts only link to current year’s performance projects, avoiding confusion from cross-year data
variables configurationInject current year’s performance indicator libraryProvides fixed reference fields for conversations, unifying evaluation standards
messages configurationSplice annual project context according to session historyEnsures multi-turn dialogue contexts only contain current year’s conversation content, avoiding redundant data
Timeout waiting durationCalibrated based on actual testing (300-600 seconds)Adapts to the processing duration of multi-document linked queries for this category, avoiding mid-process interruptions

Common Configuration Mistakes

Three frequent configuration errors are listed below:

  • Phenomenon: After refreshing the page, the interface displays the prompt "No available index model detected". Cause: The vector database for annual performance data is not bound to the current chatId. The index resource linked by the session context has expired or not been initialized.
  • Phenomenon: Conversation response results do not include the associated identifier or path of the source original text. Cause: The prompt does not explicitly require associating document information of corresponding supporting materials. Source tracing configuration is not enabled.
  • Phenomenon: After a multi-turn dialogue is interrupted and restarted, the previous performance project query logic cannot be continued. Cause: The chatId is not saved or bound. The context is lost after restarting the session, making it impossible to link to the previous project dimension.

How to Verify Successful Configuration

  • Initiate a single-project performance self-evaluation query. Check whether the returned results include the corresponding year’s performance indicators and fund data.
  • View the conversation history. Confirm that the session context bound to chatId is not lost after page refresh.
  • Trigger the source tracing function. Confirm that the returned results include the identifier information of the corresponding supporting materials.
  • Initiate a query after injecting the annual variable. Confirm that the conversation content strictly follows the current year’s performance evaluation standards.

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.