Dialogue Logging and Auditing for Film and Theater Industry

What this category of data looks like

Film and theater industry research data mainly comes from theater operation systems, National Film Administration filing and publicity platforms, third-party box office statistics APIs, industry public research reports, and theater POS logs. Update frequencies vary: box office and scheduling data updates daily, some top theaters offer hourly updates. Filing and publicity data updates quarterly. Industry research reports release weekly or monthly. The standard structure of a single research document includes fields such as unique film identifier, release window, covered theater names, daily scheduling sessions, box office revenue, number of viewers, and producer information. Box office is measured in yuan, sessions are counted in units of "session", and dates use ISO 8601 format.

What constraints do these characteristics impose on dialogue logging and auditing

The multi-update frequency of film and theater research data requires that dialogue logs be bound to hourly timestamps. This ensures that audits can match box office and scheduling data from the corresponding time window. The multi-field document structure requires that logs synchronously record associated fields such as film ID, theater identifier, and data source API. This prevents inability to trace the source of research data corresponding to a single dialogue during audits. Real-time box office data changes minute by minute. If logs do not carry the data source version identifier at the time of the request, audits will not be able to reproduce the original data state corresponding to the dialogue. Cross-channel research dialogue scenarios require logs to use standardized field naming. This avoids field ambiguity in logs collected by different terminals, which would affect audit consistency.

How to configure the settings

Configuration Item	Recommended Value	Rationale
`log_record_fields`	`["request_id", "user_uid", "query_time", "film_id", "theater_id", "response_content", "inference_duration"]`	Matches core associated fields of film research data, covers user, time, and data association items required for audits, ensures logs can fully trace the context of research dialogues
`history_retrieve_uid_strategy`	`custom_uid`	Film research scenarios mostly use theater IDs and film IDs as custom user identifiers. This configuration ensures that historical dialogues are associated with the correct research data subject, and meets the usage requirements of user-defined identifiers
`log_retention_days`	`180 days`	Film industry research audits usually require retaining at least six months of dialogue records. This value meets the general requirements of compliance and traceability
`inference_log_enable`	`Enabled`	Research scenarios need to count the inference time of each round of question and answer, to evaluate knowledge base response efficiency and data recall accuracy. This configuration enables time-consuming recording of the inference process
`log_delete_api_enabled`	`Enabled`	Compliance requirements require supporting users or administrators to delete sensitive dialogue records. This configuration enables the log deletion API to avoid leakage of sensitive research data

The parameter values provided on this page are all common recommended starting points for configuration. Actual values are affected by material form, data volume, and business rules. Specific issues require specific analysis. It is recommended to test on your own samples before finalizing.

Three common mistakes

Phenomenon: After sending a request with a custom user_uid, the obtained historical dialogues do not match the expected user. Cause: The history_retrieve_uid_strategy configuration is not set to custom_uid. The default uses the session ID generated by FastGPT as the user identifier, which cannot be associated with custom theater or film identifiers.
Phenomenon: Unable to obtain inference time-consuming logs for a single round of question and answer. Cause: The inference_log_enable configuration item is not set to Enabled, so the time-consuming recording function of the inference process is not activated. Inference time data for single-round dialogues cannot be collected.
Phenomenon: Unable to associate dialogues with corresponding film research data during audits. Cause: Associated fields such as film_id and theater_id are not configured in log_record_fields. Logs do not carry core research data identifiers, making it impossible to bind dialogues to corresponding film and theater data.

How to confirm the configuration is correct

Send a test dialogue carrying custom user_uid and film_id parameters. Check if the system-generated logs include all configured associated fields.
Call the log query API, pass the custom user_uid, confirm that the returned historical dialogues only associate session records with this identifier.
Call the log deletion API, delete the logs of the specified session, confirm that the corresponding log entries have been removed from storage.
Initiate multi-round dialogues, check if logs record the inference time and request timestamp of each round.

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.