What Data for This Use Case Looks Like
Data for this use case comes from government information disclosure platforms, internal agency archive systems, document management systems, departmental business ledgers, and documents related to the Government Information Disclosure Regulations. It also includes policy consultation and process explanation content for party building learning.
Daily processed documents include government information disclosure application forms, supplementary notice letters, third-party opinion solicitation letters, response letters, service receipt forms, administrative reconsideration response materials, as well as party building learning policy documents and Q&A records.
Data updates occur at irregular intervals. The core processing objects are individual requests from specific applicants. Each entry covers the full-process handling record of a single application matter combined with party building Q&A. It includes fixed fields such as applicant subject, application content, handling link, response result, and party building consultation content.
Constraints for Conversation Logs and Auditing
Data sources are scattered across multiple internal systems, public platforms, and party building learning knowledge bases. Conversation logs must link cross-system handling records and party building Q&A content. This ensures each Q&A aligns with a complete application process and consultation details.
Data updates occur at irregular intervals with no fixed cycle. The auditing link must cover any time node across the full process. It cannot rely on fixed-triggered batch audits.
Core processing objects are individual cases from specific applicants. Logs must accurately bind chatId to specific application matters. This prevents mixing Q&A records across different applications.
Each entry includes multiple types of official documents and party building learning content. Auditing must retain all Q&A details related to document and policy interactions. This ensures traceability of handling basis and consultation content.
Configuration Settings
This configuration is built for FastGPT v4.17.0, adjusted for the government information disclosure upon application party building learning Q&A scenario:
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bind to government information disclosure application number | Ensure each Q&A is accurately linked to a specific application matter to avoid confusion across applications |
responseChatItemId | Record the unique identifier of each round of responses | Cover every interaction throughout the full process to meet audit traceability requirements by link |
detail | Carry full-text summaries of application materials, handling link tags, and party building consultation content | Fully retain business data and party building learning content associated with Q&A to meet audit traceability requirements |
| Log retention period | 180 days | Match the legal archiving period requirements for government disclosure matters |
| Multimodal call timeout | 600 seconds | Adapt to parsing and response time required for large government documents and party building policy documents |
| Conversation log cleanup threshold | Calibrated based on actual testing | Avoid excessive storage resource usage while meeting audit retention requirements |
Three Common Configuration Errors
- 400 invalid image error when calling multimodal APIs. The cause is failure to pass required compliant image format and encoding in the
detailfield. This prevents the interface from parsing image attachments in the conversation. - Unable to view conversation logs after deploying a standalone container. The cause is lack of configured log mount directory. Logs are only stored inside the container and cannot be accessed via external interfaces or auditing tools.
- Console.log logs from workflow code run modules cannot be viewed in the console. The cause is failure to enable the workflow log output switch. Logs are only stored in the FastGPT internal log system and not synchronized to the front-end console.
How to Verify Successful Configuration
- View the detail page of any Q&A entry to confirm the
chatIdfield matches the corresponding government information disclosure application number. - Export the full-process conversation logs and check whether
responseChatItemIdcovers every round of interaction from application consultation, party building Q&A to response delivery. - Trigger a multimodal document parsing request to confirm the interface returns a 200 status code, and that the
detailfield contains complete document parsing results and party building consultation records. - Check storage directory usage to confirm the log retention period does not exceed the preset 180-day threshold, and that no abnormal log loss occurs.
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.