What data for this category looks like
Data for this category comes from the centralized treasury payment system, integrated budget management system, electronic invoice platform, and contract management system. The update frequency is daily. Daily processed documents include payment applications, fund use plans, invoices, contracts, acceptance receipts, reimbursement approval forms, and payment vouchers. Core fields cover budget indicators, economic classification, ticket information, contract clauses, approval process nodes, payment amounts, and more. All data is generated around the execution link of a single fund payment.
What constraints do these characteristics impose on the conversation logs and audit link
The data characteristics of this category impose multiple constraints on the conversation logs and audit link. Unlike batch data used in budget final accounting, this category focuses on compliance audit for single fund payments. It requires associating conversation logs with a unique voucher ID to ensure the complete link of single business operations can be traced during audit. Data from multiple systems must use uniform identifiers to avoid cross-system data confusion. Daily updated high-frequency business data requires real-time synchronization for log storage, to prevent data gaps that impact audit timeliness. Compliance audit for single fund payments requires precise matching of fields from corresponding documents. Logs must mark unique identifiers of associated payment applications, invoices, and other vouchers to prevent cross-transaction data confusion. Conversation content from party building learning Q&A must be bound to business operations, to ensure the correlation between learning scenarios and business behaviors can be verified during audit.
Configuration Guidelines
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
| Conversation Log Association ID | Bind chatId and business voucher ID | Ensure each conversation log can be accurately associated with the business data of the corresponding single payment, enabling audit traceability |
| Log Retention Period | 180 days | Match the standard traceability period for fiscal audits, meeting compliance audit requirements |
| Exported Log Fields | Include detail, responseChatItemId | Cover complete conversation content, interaction nodes and response identifiers, meeting the comprehensiveness requirement for audit evidence collection |
| Real-time Synchronization Threshold | 100-500 entries per minute, calibrated via actual testing | Adapt to the daily high-frequency business data update rhythm, avoiding log synchronization delays |
| Audit Association Validation | Bind chatId and payment application number | Ensure conversation content from party building learning Q&A is bound to corresponding business operations, facilitating cross-check audits |
Three Common Misconfiguration Issues
- After configuring a Feishu bot, the third party shows send success but no record appears in FastGPT conversation logs. The cause is that external message sync configuration for conversation logs is not enabled, resulting in bot interaction data not being written to system logs.
- Clicking the conversation log copy button has no response. The cause is that the exported field configuration does not include
responseChatItemId, causing the copy operation to fail to obtain valid data and triggering an exception in the front-end component. - After adding a custom party building learning Q&A plugin to a workflow, no input or output parameters are displayed and no error logs are generated. The cause is that associated parameters such as
chatIdare not correctly bound in the plugin configuration, so the system cannot identify the association logic between the plugin and conversation logs.
How to Verify Successful Configuration
- View the associated fields of a single conversation log, confirm that the corresponding business voucher ID and
chatIdparameter have been bound. - Export conversation logs for a specified period, verify that the exported content includes required fields such as
detailandresponseChatItemId. - Simulate a single business operation interacting with party building learning Q&A, confirm that logs are synchronized to the storage system without delay.
- Trigger an abnormal interaction scenario, verify that audit alert rules trigger as configured.
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.