Data Structure for This Category
Data for this category comes from the unified budget management system, centralized treasury payment system, accounting system, and asset management system. The update frequency is annual. Daily documents include department final account statements, balance sheets, income and expenditure final account statements, final account explanations, and government financial reports. The overall structure centers on annual actual revenue and expenditure, asset and liability data, with supporting budget execution difference explanations and summary reports from subordinate units. Fields cover actual revenue and expenditure details, asset stock, budget execution differences, and similar content. No segmented data updated on a quarterly or monthly basis is included.
Constraints Imposed on Multi-turn Dialogue and Prompt Engineering
The annual update feature requires multi-turn dialogue to fix the current queried final account year, to avoid confusion across annual data. Heterogeneous data imported from multiple source systems requires explicitly specifying the retrieval scope as department final account documents in interaction configuration, to prevent irrelevant system data from interfering with context association. Fixed-structure reports and explanatory documents require prompts to accurately match field names, ensuring Q&A results correspond to specific entries in the reports. Additionally, the serious potential consequences of errors require multi-turn dialogue to gradually confirm the budget unit level and specific report type mentioned by the user, to avoid audit failure caused by caliber errors.
Configuration Specifications
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Maximum Context Window | First 10 turns of dialogue + 8000 characters | Annual final account data has a large volume; this limits redundant context while retaining conversation history needed for multi-turn confirmation |
| Single Retrieval Limit | Top 6 retrieval results | Department final account documents have a fixed structure; a small number of precise results can cover query needs for policy and data basis |
variables | Bind budget unit code and final account year variables | Differentiate final account data across different entities and periods to avoid context confusion across units and years |
messages | Pre-set system prompt to limit retrieval scope to final account documents | Clarify Q&A boundaries to prevent retrieval of non-target financial system data |
| Streaming Output Toggle | Enabled by default | Supports real-time segmented return of policy basis and data verification results to improve interaction fluency |
| Question Optimization Toggle | Enabled | Simplifies vague user questions about report fields and difference explanations to accurately match document content |
Three Common Misconfiguration Issues
- Issue: After adjusting the maximum context window parameter, the conversation history does not take effect as configured, and cross-year irrelevant final account data still appears in retrieval results. Cause: The
variablesfor the current queried budget unit code and final account year are not bound; multi-turn dialogue cannot accurately limit the data scope, leading to context association confusion. - Issue: The non-logged-in conversation window experiences output lag or no streaming return effect. Cause: The streaming output toggle is not enabled, and the single retrieval result count is not limited, leading to timeout from synchronous loading of large amounts of data.
- Issue: After clicking the custom trigger button, the preset Q&A process is not triggered, or a blank dialog box appears. Cause: The custom trigger prompt and variable binding are not configured, so the system cannot recognize the trigger instruction.
How to Verify Successful Configuration
- Initiate a test query that includes a specified budget unit and year, and verify that retrieval results only include final account documents for that corresponding year.
- Adjust the maximum context window to the specified value, initiate multiple consecutive queries, and verify that the conversation history is correctly retained and used for subsequent Q&A.
- Trigger a non-logged-in conversation, observe that output is returned in segmented streaming format with no overall loading lag.
- Submit a vague custom question, and verify that the system automatically optimizes the expression to accurately match the field content of department final account reports.
Note: The configuration values listed above are common starting points. Adjust them based on your own specific samples and use cases.
Reference only; verify against the target FastGPT release and deployment documentation.
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.