What the data for this category looks like
Data for this category primarily comes from national public resource trading platforms, natural resource trading systems, property right exchange systems, and state-owned assets supervision systems. The update frequency is daily. Daily documents include transfer announcements, trading guidelines, bid application materials, margin payment vouchers, transaction confirmation letters, listing result announcements, property right transfer specifications, and more. Core fields cover subject ownership information, transaction base price, bid qualification requirements, margin payment voucher numbers, transaction confirmation letter numbers, and others. Units include square meters, ten thousand yuan, parcels, and more. Field priority and required items vary across different documents.
What constraints these characteristics impose on the conversation logs and auditing link
Daily updated trading documents mean conversation logs must synchronize with the latest data source versions to avoid referencing expired information during audits. Logs for multi-source data must clearly label the system source of each referenced content, to ensure traceability of core links such as ownership verification and bidding organization. Differences in document fields mean logs must fully record the document matching logic triggered by user questions, to facilitate subsequent verification of whether Q&A covers key content such as subject ownership and restriction conditions. Errors may lead to state-owned asset loss or invalid transactions, so logs must retain full link information without omitting any conversation links or reference basis.
How to configure the settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
chatId | Mandatory, globally unique | This field associates full link logs for a single round of conversation, meeting the audit traceability requirements of party building learning Q&A |
responseChatItemId | Bound to each AI reply | This field accurately locates the call context and referenced trading documents corresponding to a single AI reply |
detail | Enable full log collection | This setting captures complete link information including user questions, referenced documents, and AI replies |
| Log retention period | 180 days | This setting meets general audit filing requirements for public resource trading scenarios |
| Single conversation context recall limit | Top 8 historical conversations | This setting avoids redundant information interfering with the accuracy of party building learning Q&A |
| Log storage threshold | 1000 MB/month | This value is calibrated based on actual measurements, adapting to daily trading document update volume |
Reference only; verify against the target FastGPT release and deployment documentation.
Three common misconfigurations
- Phenomenon: Conversation logs do not display complete referenced trading document content. Cause: The full collection configuration for the
detailparameter is not enabled, so only reply summaries are saved. - Phenomenon: After adjusting the context recall count, party building Q&A fails to associate with the latest transfer announcement. Cause: The trigger rule for daily synchronization of latest trading documents is not configured, so the knowledge base does not update daily updated data.
- Phenomenon: No classification branch exits after the conversation node in the workflow. Cause:
responseChatItemIdis not correctly bound to the classification trigger condition, so the process loop fails to terminate.
How to confirm the configuration is complete
- Review each conversation log to confirm the
chatIdfield exists and is globally unique. - Randomly select one AI reply, check that
responseChatItemIdmatches the reply's unique identifier. - Import a latest listing result announcement, submit a relevant question, and verify that the log fully records the referenced document source and content.
- Check log storage usage to confirm it does not exceed the preset 1000 MB/month threshold.
The values provided here 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.