Add support for List AI Request Logs method

[crowdin-bot]

The Crowdin API adds a List AI Request Logs method for auditing AI usage:

• crowdin.com: GET /users/{userId}/ai/request-logs
• Crowdin Enterprise: GET /ai/request-logs
• operationId: api.ai.requestLogs.getMany

Optional query filters: requestId, projectId, userId, aiProviderId, model, sourceAction (enum: ai_proxy, ai_gateway, ai_translate_strings, ai_file_translate, ai_prompt_completion, pre_translate:manual, pre_translate:workflow, ai_alignment, qa_check, ai_suggestion, advisor), promptAction, statuses (comma-separated: pending, success, error, timeout), systemCredentials (boolean), isAutoTriggered (boolean), tokenName, oauthClientId, createdAfter/createdBefore (date-time), plus limit/offset.

The response model (AiRequestLog) includes: id, requestId, createdAt, status, httpStatus, model, sourceAction, promptAction, systemCredentials, isAutoTriggered, durationMs, inputTokens, outputTokens, totalCost, userId, projectId, promptId, aiProviderId, tokenName, oauthClientId, oauthClientName, ip, userAgent, and error.

Client libraries should add this method so consumers can monitor AI request activity and costs via the SDK.

References:

• List AI Request Logs
• Crowdin Enterprise: List AI Request Logs

[Nikk8091]

Hi, I would like to work on this issue.
I plan to add the List AI Request Logs method to AIApi, implement the required request filters and response models, and add unit tests covering URL/query construction and JSON response mapping for both Crowdin and Crowdin Enterprise paths.
I checked the current issue activity and open pull requests and did not find an existing implementation. I will keep the change scoped to issue #392 and follow the repository’s existing AI API patterns.
Thank you!