What this category of data looks like
Typical entities include social insurance handling agencies, human resources and social security bureau business sections, and street social insurance service windows. Daily processed documents include benefit application forms, payment period certificates, retirement approval forms, work injury certification materials, and unemployment insurance benefit application materials. Data sources are social insurance handling systems, personal benefit records, labor relations and work injury certification systems, and the electronic social security card platform. The update frequency is daily synchronization. Data fields include verification basis, applicant subject information, benefit calculation-related content, and strictly match the output format of business systems.
What constraints do these characteristics impose on the conversation logs and auditing link
The multi-system source characteristic requires logs to associate cross-system call records, ensuring complete traceability of each benefit verification process. The daily updated data characteristic requires logs to be archived according to business cycles, facilitating subsequent compliance audits. The diverse daily document types characteristic requires logs to bind the unique identifier of the corresponding document, avoiding confusion between different batches of verification applications. Additionally, the risk of incorrect or missing benefit payments requires logs to fully record interaction details for each conversation step, including parameter inputs and model return results. This ensures the accuracy of verification basis can be verified during audits.
How to set configurations
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
detail log switch | Enabled | Full recording of core fields such as verification basis and application information in conversations, meeting audit traceability requirements |
chatId association rule | Bind to the current day's business batch ID | Matches the daily data update characteristic, facilitating archiving and retrieval according to business cycles |
| Single log associated item | Bind responseChatItemId | Accurately associate the return result of each model call, facilitating troubleshooting of verification deviations |
| Log retention period | 180–365 days | Covers the conventional traceability cycle of social insurance benefit verification, matching business compliance requirements |
| Log filtering dimension | Associate with benefit application form number | Matches the structure of daily documents, enabling quick location of the complete link of a single batch of verification applications |
| Call timeout threshold | 600 seconds | Adapts to the time consumption requirements of multi-system data pulling, preventing log loss due to timeout |
Three common configuration errors
- Phenomenon: After calling the workflow, yesterday's and today's conversation logs are empty. Cause: The binding rule between
chatIdand business system batch ID is not configured, causing logs to not be archived according to business dimensions and unable to be displayed on the corresponding retrieval interface. - Phenomenon: Call logs are not displayed on the model provider page. Cause: The
detaillog switch is not enabled, only basic session metadata is recorded, and detailed interaction content of model calls is not included. - Phenomenon: In a Docker deployment environment, model testing works normally but workflow conversations show a failure, and no corresponding logs are present in the background. Cause: Log forwarding rules are not configured, and model call logs inside the container are not synchronized to FastGPT's audit storage path, resulting in log loss.
How to confirm the configuration is correct
- Retrieve the conversation for the specified
chatId, confirm that associated information such as benefit application form number and payment period certificate under thedetailfield is included. - View the log filtering interface, confirm that log entries can be filtered by business batch ID and document type dimensions.
- Trigger a simulated verification conversation, verify that logs can be normally retrieved and not lost within the set retention period.
- Check the Docker deployment log mounting configuration, confirm that call logs inside the container have been synchronized to FastGPT's audit directory.
The values provided are common starting points and should be evaluated 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.