What data for this category looks like
Data for this category primarily originates from ERP systems, supplier shipping documents, logistics tracking information, and equipment manufacturer backends. Daily processed documents include purchase orders, delivery acceptance slips, serial number lists, and invoice materials, with fields such as order number, equipment model, serial number, acceptance status, and supplier information. Data updates follow single purchase order cycles, with synchronization completed per order or weekly. Single-batch data volume varies based on project scale.
What constraints these characteristics impose on the conversation logs and auditing workflow
The association requirements arising from multi-source data mean that conversation logs must be bound to unique identifiers such as corresponding purchase order numbers and equipment serial numbers, to ensure traceability to specific project links during audits. The per-order/weekly update rhythm requires audit archives to be split by project batch, to avoid cross-project data confusion. Documents contain sensitive business information, so log storage must follow the principle of least privilege access. Consequences of errors such as equipment mismatches or asset book-actual discrepancies require the audit chain to fully retain complete interaction content for model verification and delivery acceptance links, without truncating key conversation steps.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Bound to a single purchase order, fixed for the entire lifecycle of the session | This category manages business data per order, requiring conversations to be tied to specific projects to enable order-level auditing |
responseChatItemId | Record each interaction item for equipment model verification and acceptance confirmation | Requires full traceability of specific conversation details for model configuration verification and serial number registration |
detail | Enable full recording, maximum 10000 characters per log entry | Covers all interaction content throughout the delivery acceptance process, meeting the requirements for complete audit traceability |
| Log storage period | Retained for 180 days after project acceptance is completed | This category's project cycle covers the entire process from procurement to acceptance, with audit requirements spanning the full project lifecycle |
| Access permission control | Divide access scope by roles: warehouse administrator, procurement, integrator | Business data contains sensitive supplier and equipment information, following the principle of least privilege access |
| Single retrieval limit | Return up to 20 results | Matches the daily audit retrieval requirements of this category, avoiding returning excessive irrelevant data |
| Session timeout period | 600 seconds | Matches the processing cycle of single-batch procurement for this category, preventing log loss due to session interruption |
Three Common Configuration Errors
- Symptom: Access to the interface fails with an error after Docker deployment, or logs display a slow operation prompt. Cause: The association configuration between conversation logs and order data was not correctly bound, leading to response timeouts when the database queries associated fields.
- Symptom: Chat records are not saved to the database, or sessions cannot be traced to their corresponding purchase order. Cause: The binding rule between
chatIdand purchase order numbers was not configured, resulting in logs lacking unique association identifiers and failing to support audit traceability. - Symptom: After multiple users share a publicly accessible link, chat records exhibit cross-project confusion. Cause: Log access permissions were not divided by role, enabling different job role personnel to view conversation content from non-assigned projects.
How to Verify Successful Configuration
- Access the log management page in the FastGPT v4.17.0 backend, enter a purchase order number, and verify that the complete conversation content for the corresponding session can be retrieved.
- Initiate a conversation for equipment model verification, view the
detailfield of the log details, and confirm that it contains user input, AI replies, and intermediate verification steps. - Switch between different role accounts, and verify that only conversation content for responsible projects can be viewed.
- Check the association relationship between the
chatIdfield and purchase order number in the database, confirm that a single session is bound to a unique order identifier.
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.