Conversation Logging and Auditing for Maritime Port

What the data for this category looks like

Maritime port investment research data sources include port operation reports, detailed container throughput records, route freight rate indices, real-time ship tracking APIs, port infrastructure planning documents, and more. Update frequencies vary significantly: real-time ship tracking data updates per minute, monthly throughput data is released monthly, and freight rate indices are updated daily. Data structures include structured tabular data (such as berth loading and unloading records), semi-structured PDF industry research reports, and JSON-formatted API response data. Core fields include ship IMO numbers, berth numbers, loading and unloading volumes (unit: TEU or tons), route origin and destination ports, and more. No unified cross-industry standard format exists for these data.

Constraints imposed on conversation logging and auditing

Mixed multi-data source calls require conversation logs to associate request IDs and session IDs from different APIs, to avoid broken audit trails. Time stamp formats differ between real-time and historical data. Some internal port data uses the YYYYMMDD format, which must be converted to standard ISO format for storage in logs. Original values of shipping-specific fields such as TEU and berth numbers must be retained in full, to avoid unit or identifier ambiguity during audits. High-frequency API calls such as ship tracking queries generate large log volumes, so sampling ratios must be set appropriately to prevent log storage overload that impairs audit efficiency.

Configuration Settings

Configuration Item	Recommended Setting	Rationale
`conversation_list_offset_max`	1000	Limits the maximum offset for the conversation record list retrieval API, preventing excessive single-response data volume from triggering timeouts
`log_associate_question_answer`	Enabled	Enforces binding between each AI reply and its corresponding user question, resolving matching issues for question-answer pairs within sessions
`conversation_log_retention_days`	180 days	Covers quarterly review and compliance audit cycles for maritime port investment research
`api_call_log_sampling_ratio`	0.2–0.5	Samples logs proportionally for high-frequency ship tracking and freight rate query APIs, balancing storage costs and audit completeness
`log_include_raw_field_unit`	Enabled	Retains original units for shipping-specific fields such as TEU and tons, to avoid unit ambiguity during audits
`log_collection_filter_enabled`	Enabled	Allows filtering conversation logs by knowledge base collection ID, matching multi-collection investment research retrieval scenarios

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 targeted analysis, and testing against local samples is recommended before finalizing settings.

Three Common Configuration Errors

Calling the get_conversation_list interface with an offset exceeding the API limit, resulting in abnormal return result counts or 400 status code errors. This occurs because the conversation_list_offset_max parameter is not configured, and the offset exceeds the API's carrying limit.
Failure to match user questions and corresponding AI replies in conversation logs, making complete session tracing impossible during audits. This occurs because the log_associate_question_answer configuration is not enabled, and the binding relationship for each question-answer pair is not enforced.
Empty operational data in conversation logs after running an investment research-related workflow. This occurs because workflow log collection configuration is not enabled, or workflow nodes do not correctly output structured log fields.

How to Verify Correct Configuration

Call the get_conversation_list interface, set the offset to 500, and check whether the number of returned results meets expectations, with no timeouts or empty returns.
Initiate a conversation that includes a ship tracking query, and check whether the conversation log displays both the user's question and the AI's reply content to confirm normal binding.
Run an investment research-related workflow, and check whether the conversation log includes the workflow's node operational data and API call records.
View the log storage dashboard, and confirm that the conversation log retention days match the value of the conversation_log_retention_days configuration parameter.

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.