What Data for This Category Looks Like
General equipment investment research data primarily comes from official technical manuals of equipment manufacturers, industry compliance standard documents, third-party test reports, and real-time equipment operation logs. Update cycles vary: industry standard documents update infrequently, manufacturer technical manuals update with new product launches or version iterations, and real-time operation logs sync based on collection frequency. Document structures include modules such as equipment model parameters, technical specifications, troubleshooting workflows, and compliance requirements. Most fields have clear units, such as rated power (kW), operating speed (r/min), and pressure rating (MPa). Some documents include multi-page detailed parameter tables and test data.
Constraints Imposed on Conversation Logging and Auditing
The multi-source and varied update cycle characteristics of general equipment investment research data require conversation logs to distinguish interaction types between historical document references and real-time parameter queries, to facilitate subsequent audit tracing. The requirement for fields to carry clear units means audit logs must fully retain parameters and their corresponding units to avoid interpretation bias. The long document and multi-module structure requires log storage to limit the context length of a single interaction, while retaining position indexes for referenced fragments to prevent log overflow. Compliance-related interactions require additional audit level tagging to meet industry regulatory requirements. Real-time operation log interaction scenarios require logs to record complete parameter matching processes and results, to support traceability of investment research decisions.
Configuration Settings
| Configuration Item | Recommended Setting | Rationale |
|---|---|---|
log_retention_days | 180 days | The compliance audit cycle for the general equipment investment research industry is typically six months, which meets regular audit requirements |
context_truncate_length | 1000–1500 characters | Typical length of core information per segment of general equipment technical documents, balancing log storage and context completeness |
audit_tag_enable | Enabled | General equipment investment research involves references to compliance documents, requiring separate tagging of audit-level interactions |
param_unit_log | Retained | Equipment parameters must carry complete units to avoid interpretation ambiguity during audits |
workflow_node_log_level | DEBUG | Detailed node interaction logs are required for debugging and auditing of MCP services in workflows |
api_source_log_scope | api,web,workflow | Covers all call sources to ensure full-link interactions can be audited |
The parameter values provided on this page are common recommendations for establishing configuration baselines. Actual values are affected by material formats, data volumes, and business rules. Specific issues require case-by-case analysis, and testing against local samples is recommended before finalizing settings.
Three Common Configuration Errors
- Scenario: No corresponding interaction record appears in conversation logs after calling external applications or plugins within a workflow. Cause: The
workflow_external_node_logconfiguration item is not enabled, so interactions from external nodes are not included in the audit log scope. - Scenario: When calling the history record query interface, the
sourcefield only displays theapikeyword, and web or workflow sources cannot be identified. Cause: Theapi_source_log_scopeconfiguration is not set to the full source range, so only API call logs are recorded. - Scenario: Detailed logs for MCP services within workflows cannot be viewed, only basic component status is visible. Cause: The
workflow_node_log_levelis not set toDEBUGlevel, so only basic status logs are collected.
How to Verify Correct Configuration
- Trigger an interaction including a general equipment parameter query, and verify that the log fully retains the parameter and its corresponding unit information.
- Call the history record query interface, and confirm that the
sourcefield includes the expected call source types. - Trigger an MCP service call within a workflow, and check whether node logs include detailed request and response content.
- Inspect the system log storage path, and confirm that audit log files are generated and populated with corresponding interaction records per the configured cycle.
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.