What the data for this category looks like
This category of data is generated around post-issuance supervision scenarios across the full lifecycle of pollution discharge permits. Daily documents include pollution discharge permit application forms, implementation reports, self-monitoring plans, ledger records, change applications, and permit copies. Data sources are the national pollution discharge permit management information platform, enterprise environmental protection ledgers, online monitoring systems, and environmental statistics systems, with updates on a quarterly basis. Fields include permit subject identification, emission limits, monitoring points, ledger cycles, data reporting times, and others. There is no uniform fixed single data length, which varies based on document type.
What constraints these characteristics impose on the conversation logs and auditing workflow
Reference only; verify against the target FastGPT release and deployment documentation.
How to set the configurations
| Configuration Item | Recommended Setting | Rationale for This Setting |
|---|---|---|
| Session log association identifier | Bind full process records of the session by chatId | Ensure that interactions and calling data for the same session are fully linked, facilitating retrospective auditing |
| Log detail collection | Enable full recording of the detail field, maximum 10000 characters per detail entry | Cover complete information for business data references and parameter calls, meeting compliance auditing requirements |
| Single reply marker | Associate responseChatItemId to mark the first 100 replies | Accurately locate abnormal or non-compliant reply content, facilitating rapid troubleshooting |
| Single application log limit | Set to 50 GB | Adapt to the log accumulation scale for multiple users and multiple sessions, avoiding disk storage overflow |
| Session timeout threshold | Set to 600 seconds | Match the average time required for pollution discharge permit business reviews, preventing log loss due to mid-interruption |
| Log query permission | Isolate queries by application + user dimension | Comply with data isolation requirements for multi-role users, preventing data leakage across different institutions |
Three common configuration mistakes
- Phenomenon: Conversation history records are empty, or only contain front-end temporary cache content. Cause: Server-side session persistence is not enabled, logs are stored on the client side, and logs are lost after the client closes the SSE connection or exits. This is a common interaction interruption issue in corresponding scenarios.
- Phenomenon: Logs cannot be filtered or queried by session or user dimension. Cause: Log entries are not associated with
chatIdor user identifiers, resulting in no clear grouping of log data, making it difficult to trace specific interaction processes. - Phenomenon: MongoDB connection failure causes service startup failure, and log storage is interrupted at the same time. Cause: Stable database connection parameters are not configured, or database permission configuration is incorrect, resulting in failure to properly write logs.
How to confirm the configuration is successful
- Initiate a party building learning Q&A conversation related to pollution discharge permits, close the client's SSE connection, log in again to view the conversation history, and confirm that the records are fully preserved.
- Switch to different user identities, attempt to query the conversation logs of other users, confirm that access is not permitted, and verify that the isolation configuration takes effect.
- View the database logs, confirm that the
chatId,detail, andresponseChatItemIdfields are correctly written to storage. - Wait 600 seconds for the session timeout, confirm that the session log automatically completes final storage with no interrupted residuals.
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.