What the data for this category looks like
The data for this category comes from centralized treasury payment systems, unified budget management systems, electronic invoice platforms, and contract management systems. Data updates once daily. Daily processed documents include payment applications, fund allocation plans, invoices, contracts, acceptance documents, reimbursement approval forms, and payment vouchers. Fields involved include budget indicators, economic classifications, ticket numbers, contract clauses, acceptance milestones, and other related fields. The core content centers on compliance-related information linked to individual fund payments.
What constraints these characteristics impose on the multi-turn dialogue and prompt engineering link
This category’s data updates daily. Multi-turn dialogue must synchronize the latest treasury payment and reimbursement approval data to avoid using outdated information. Daily processed document types are diverse. Prompts must clearly distinguish field rules for different documents such as payment applications and reimbursement approval forms. For compliance fields like budget indicators and economic classifications, multi-turn dialogue must fully retain audit node information from each step to ensure coherent context. Compliance requirements for individual fund payments are strict. Dialogue must accurately link documents and system data to prevent generic responses. Additionally, requirements from the party building learning scenario must be met to ensure Q&A content aligns with relevant specifications.
How to set up the configuration
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Bind the unique identifier of the current session | Ensure conversation records are linked to session data stored in the backend, preventing context loss after window refresh |
messages | Retain the most recent 20 rounds of conversation content | Cover multi-step communication scenarios for daily audits, while controlling context resource usage |
variables | Bind real-time data interfaces from the treasury payment system and electronic invoice platform | Ensure Q&A can call the latest payment and ticket data |
| Maximum context length | 8000–12000 characters | Adapt to the total information volume of multi-turn audit dialogues, avoiding exceeding model processing limits |
| Single recall upper limit | Top 10 entries | Match the range of document quantities for daily audits, avoiding interference from redundant information |
| Question optimization | Enabled | Align with party building learning scenario requirements, convert colloquial questions about financial audits into standardized queries to improve matching accuracy |
Three common configuration errors
- The conversation window shows no records after refresh, but full history is visible in the backend session list. The cause is failure to correctly bind the
chatIdparameter, preventing the frontend from linking to backend-stored session data. - Uploaded attachment documents are recognized in the local development environment, but uploading attachments has no response and no error logs after image packaging and deployment. The cause is failure to configure the correct file storage mount path during deployment, preventing the system from reading uploaded attachments.
- After linking variables in the configuration file, Q&A cannot correctly extract document content pointed to by the links. The cause is failure to bind variables to the document storage path of the corresponding system, preventing access to target files.
How to confirm the configuration is complete
- Refresh the conversation window, check if the frontend retains the most recent conversation history, and confirm it matches the content of the backend session list.
- Upload a test payment application document, check if Q&A can correctly extract field information such as budget indicators and economic classifications from the document.
- Bind the real-time data interface via the
variablesparameter, initiate a query to call system data, and check if the returned results include the latest treasury payment information. - Enable the question optimization switch, initiate a conversation with a colloquial audit question, and check if it can be converted into a standardized query statement.
The values provided here are common starting points, and should be evaluated against the user’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.