What the Data for This Category Looks Like
Data sources for party building material search include central and local official party building platforms, internal rule repositories, authoritative historical party building documents, and latest party building learning materials. Update cadence aligns with official release timelines. Documents are structured long text, with fields including title, issuing unit, release date, main content, and classification tags. Single document character counts range from thousands to tens of thousands, covering party building learning needs across different topics.
Constraints Imposed on Conversation Logs and Auditing
The authoritative data sources and structured characteristics of party building material search require conversation logs to associate the issuing identification and classification information of original documents. This ensures audits can trace back to official authoritative sources. Long text content lengthens conversation context. Log storage must support long field storage to avoid truncating key party building document fragments. Non-fixed updates aligned with official release timelines require logs to record document versions or update times. This prevents matching expired content during audits. Classification tags require logs to associate with topic dimensions. This facilitates audit investigations by party building special topics.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
| Log Storage Toggle | Enabled | Aligns with FastGPT v4.17.0 log storage specifications, meets audit retention requirements for party building work |
detail parameter | Enable full recording | Retain details of party building document fragments called during conversations, to support precise traceability audits |
Session-bound chatId | Bind user unique identifier and application ID | Enable retrieval of historical conversations by user or application dimension, adapting to audit investigations across multiple scenarios |
| Log Retention Period | 180–365 days, calibrated via actual testing | Matches compliance period requirements for party building work file management |
responseChatItemId association | Enable recording | Precisely associate the unique identifier of a single reply, to facilitate locating specific conversation content |
| Sensitive Content Filter | Enabled | Prevent non-compliant or inappropriate party building material content from entering audit logs |
Three Common Misconfigurations
- Scenario: Conversation records associated with
chatIdare not fully stored in the database after an interrupted conversation. Cause: Logic to wait for conversation requests to complete is not configured, and log persistence actions are not triggered when the client disconnects. - Scenario: Specified ports cannot be accessed after service startup, and logs prompt database connection failure. Cause: MongoDB access permissions and connection parameters are not correctly configured, preventing the log system from writing conversation data normally.
- Scenario: When retrieving conversation history by user dimension, returned results include sessions from non-target users. Cause:
chatIdis not correctly bound to the user unique identifier, leading to deviations in session association logic.
How to Verify Proper Configuration
- Initiate a party building material search conversation, check whether a complete record containing the
detailfield is generated in the log system, and verify that the field includes the called document identification and content fragments. - Call the conversation history interface, pass in the
chatIdparameter, confirm that only interactive content for the current session is returned, with no cross-session data mixed in. - Check the MongoDB connection status, confirm that there are no errors in log writing, and that the retention period configuration meets expected compliance requirements.
- Simulate a conversation interruption scenario, confirm that conversation fragments before and after the interruption are fully recorded, with no content lost.
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.