This document applies to FastGPT v4.17.0.
What This Category of Data Looks Like
Data for this category primarily comes from customer requirements, public data sources, collection tools, and sample libraries. It is maintained jointly by data service project managers, collection teams, and customer algorithm teams. Daily deliverables include collection plans, sample specifications, authorization statements, and task schedules. Data fields cover sample scope, field specifications, collection legitimacy identifiers, and task schedule nodes. Units include items, characters, days, and others. Update frequency follows per-project or weekly cycles. Each update accompanies collection task adjustments and compliance checks.
Constraints on Conversation Logs and Auditing
Multi-source data sources require conversation logs to be associated with specific collection tasks. Bind chatId and responseChatItemId to accurately locate operation records for the corresponding task. Project or weekly update rhythms require auditing to archive logs by task dimension, to avoid cross-task log confusion. Complex document structures and multiple field requirements require using the detail parameter to retain complete operation details. This includes sample scope definitions, field specification confirmations, and the full process of legitimacy verification. Error consequences directly relate to sample availability and infringement risks. Audit logs cannot be deleted arbitrarily, and must support traceability in accordance with compliance requirements.
Configuration Recommendations
| Configuration Item | Recommended Value | Rationale |
|---|---|---|
chatId | Bind the unique identifier string of the current collection task | Associate logs with specific collection tasks to facilitate auditing by task dimension |
responseChatItemId | Bind the session item ID of a single collection request | Track specific operations in each collection link and quickly locate abnormal nodes |
detail | Record complete operation text of no more than 1000 characters, including sample scope, field specifications, and authorization status | Retain complete data required for compliance review to avoid loss of key information |
| Log retention period | 90 days | Match general compliance retention requirements |
| Audit trigger condition | Triggered by abnormal operations, record the first 5 associated logs | Quickly focus on high-risk operations in the collection link |
| Log export permission | Only accessible to project administrators | Protect collection compliance data from unauthorized access |
Three Common Configuration Mistakes
- Attempting to delete conversation records via a POST request results in no response or an error return. The cause is failure to bind the association between
chatIdand the corresponding collection task, so the system cannot match valid log entries. - After deploying the m3e-large-api Docker container, calling it returns an error stating that cl100k.tiktoken cannot be loaded. The cause is failure to configure the local token file path for the conversation log auditing link, leading to token verification failure.
- After configuring an nginx proxy, downloading knowledge base original links fails, and no corresponding request record exists in the audit log. The cause is failure to enable the download request tracking configuration for the
detailparameter, so the compliance review link cannot verify the legitimacy of the link source.
How to Verify Correct Configuration
- Initiate a collection task request, check whether the logs contain the bound
chatIdandresponseChatItemId. - Attempt to export logs via an administrator account, confirm that unauthorized accounts cannot access the corresponding log content.
- Simulate an abnormal collection operation, check whether the system automatically triggers audit log recording.
- Check the log retention period configuration, confirm that logs older than 90 days have been archived or deleted in accordance with the rules.
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 2026-10-19.