What the data for this category looks like
Business data for government procurement project party building learning Q&A comes from China Government Procurement Network, local government procurement networks, the fiscal integration system, the purchaser budget system, and supplier credit records. The update frequency is daily. Daily associated documents include procurement requirements, procurement plans, bidding documents, bid submission documents, bid evaluation reports, winning bid announcements, procurement contracts, and question and response documents. Data fields include unique procurement project numbers, supplier identifiers, conversation interaction times, audit node identifiers, and more. These must be aligned with the procurement ledger in the business system.
What constraints these characteristics impose on the conversation logs and auditing process
Because data sources are diverse and updates occur daily, conversation logs must be bound to a unique procurement project number as an association identifier. This ensures the corresponding business link can be quickly located during audits. Document types are varied and closely linked, so logs must record the specific document ID corresponding to each conversation. This makes it easy to trace the content basis for party building learning Q&A. The daily update frequency requires audits to archive logs on a daily basis. This prevents data loss from affecting regulatory verification. At the same time, errors may lead to bid invalidation or regulatory penalties. Logs must fully retain interaction details, must not omit key Q&A content, and must support searching historical records by user and project dimensions.
Configuration settings
Reference only; verify against the target FastGPT release and deployment documentation.
| Configuration Item | Recommended Approach | Rationale |
|---|---|---|
chatId | Prefix with the procurement project number and append the user ID, keep the length under 100 characters | Government procurement projects have unique numbers, making it easy to associate procurement ledgers with conversation logs |
responseChatItemId | Generate a UUID as the unique identifier for each response, store as a string | Allows precise positioning of audit nodes for individual conversations, making it easier to troubleshoot abnormal interactions |
detail | Store full conversation context, associated document IDs, and interaction times, limit single log entries to 20000 characters | Meets the requirement to trace Q&A content and business links during audits |
| Session log retention period | 180 days | Aligns with the standard audit cycle requirements for government procurement regulation |
| Historical conversation search limit | Top 20 entries | Prevents overloading search resources, while covering the query needs of routine audits |
Three common configuration errors
- Issue: The
responseChatItemIdfield is empty in conversation logs. Cause: The parameter was not passed during interface calls, so the audit identifier for individual responses cannot be bound, making it impossible to precisely locate abnormal interaction nodes. - Issue: Historical conversation records cannot be searched by procurement project number. Cause:
chatIdwas not bound to the procurement project number, and only a generic session identifier was used, leading to logs and business data being unable to be associated. - Issue: Running data in conversation logs is empty after an interface call workflow is completed. Cause: Full content storage for the
detailparameter was not enabled, and only simplified Q&A summaries were stored, making it impossible to view full interaction details during audits.
How to verify correct configuration
- Initiate a party building learning Q&A conversation, check if the generated logs include the
chatId,responseChatItemId, anddetailfields. - Enter a preset procurement project number as the
chatIdprefix, verify that complete logs for the corresponding session can be searched using this number. - View the
detailfield of a single log entry, confirm that it includes full conversation context, associated document IDs, and interaction time information. - Adjust the session log retention period to 30 days, verify that logs will be automatically archived or deleted after 30 days, matching the configured requirements.
The values provided here are common starting points, and should be evaluated against the relevant deployment’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.