What this category of data looks like
Telecom service investment research data primarily comes from carrier public financial reports, industry association monitoring reports, technical white papers from communications equipment manufacturers, documents from international telecommunications standardization organizations, and real-time network operation and maintenance data. Update cycles include quarterly financial reports, monthly industry monitoring data, and real-time operation and maintenance metrics. Document structure covers technical parameter tables, network topology diagrams, market analysis chapters, and compliance requirement attachments. Fields mostly include standardized technical and business indicators such as frequency band (unit: MHz), user scale (unit: 10,000 households), latency (unit: ms), and bandwidth rate (unit: Mbps).
What constraints do these characteristics impose on the conversation logs and auditing link
The multi-source, high real-time performance, and multi-field characteristics of telecom service investment research data impose multiple constraints on the conversation logs and auditing link. High-frequency updates of real-time operation and maintenance data require the log system to support fast writing and retrieval of time-series data to avoid query delays. Standardized technical indicators across multiple fields require audit logs to accurately bind field names and values, facilitating traceability of call links for specific parameters. Multi-version standard documents and financial report data require audit retention of version association information for knowledge base fragments, ensuring the timeliness of traceable query basis. Meanwhile, telecommunications industry data compliance requirements mandate complete recording of each conversation's triggering subject, query content, returned results, and operation time, covering all full-link audit nodes.
How to configure
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
LOG_RETENTION_DAYS | 90 days | Matches telecommunications industry data compliance log retention requirements |
AUDIT_LOG_ENABLE | Enabled | Required to fully record full-link conversation operations and returned content |
MAX_CHAT_HISTORY_STORED | First 30 entries | Covers multi-turn context requirements for investment research conversations while controlling log volume |
PARSE_FIELD_AUDIT | Enabled | Accurately tracks call records for specific technical fields such as frequency band and latency |
LOG_MAX_SIZE_PER_ENTRY | 2048 KB | Adapts to single log storage requirements for parameter tables and topology diagrams in telecommunications documents |
VERSION_TRACK_ENABLE | Enabled | Associates version information for knowledge base fragments, facilitating traceability of query basis timeliness |
The parameter values provided on this page are common starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require case-by-case analysis, and it is recommended to test against your own samples before finalizing.
Three common mistakes
- Symptom: No multi-turn conversation context after workflow runs, with no clear error log output in version v4.8.10. Cause: The
MAX_CHAT_HISTORY_LENGTHparameter is not configured, or its value is set to 0, causing the system to not load historical conversation fragments. - Symptom: After local Docker deployment, port 3000 is inaccessible. The container starts normally but only partial startup information is displayed in logs. Cause: The
DB_CONNECTION_TIMEOUTparameter is not correctly configured, or the database container port mapping is incorrect, causing the audit log system to fail to connect to the storage node. - Symptom: When using a text content extraction node in a workflow, the specified number of chat records cannot be read correctly. Cause: The
PLUGIN_CHAT_LOG_ACCESSparameter is not enabled, or the configured number of chat records exceeds the value range ofMAX_CHAT_HISTORY_STORED.
How to confirm the configuration is successful
- Log in to the system backend audit log module, check whether complete log entries containing conversation content, field calls, and version information are generated, and verify whether the log retention duration meets the preset requirements.
- Initiate a query containing telecommunications technical fields such as frequency band and latency, and check whether the audit log accurately records the field names and corresponding values.
- Trigger workflow runs, check whether the workflow logs synchronously associate conversation history and knowledge base version information, and confirm that multi-turn context calls function normally.
- Check the database connection status, confirm that the audit log storage node can perform normal read and write operations, and there are no connection timeout error reports.
Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-14.