February 2026 — adobe/spacecat-api-service What was delivered - LLMO Configuration API aiTopics Documentation: Added field-level documentation clarifying the aiTopics usage in the LLMO configuration API, including field descriptions, prompts guidance, and example requests/responses. This aligns the API spec with the implementation and improves developer experience for integrators. Traceability - Commit: e64694ad8594dd987e202b15fb83a0811976136e (refactor: document aiTopics field get llmo config API docs; related notes and guidelines). The change focuses on documentation quality and API spec consistency (issue #1765). Major bugs fixed - None reported this month for adobe/spacecat-api-service; effort focused on documentation improvements and spec clarity. Overall impact and accomplishments - Improved API discoverability and integration reliability by clarifying aiTopics in the API specification, reducing potential misconfigurations and support queries. - Prepared groundwork for smoother onboarding of new integrators and future enhancements to LLMO configuration handling. Technologies/skills demonstrated - API documentation and spec alignment, documentation refactoring, and release-notes readiness. - Attention to API consistency, examples, and cross-team collaboration with reference to related issues.

Concise monthly summary focusing on key accomplishments, business value, and technical achievements for November 2025 across adobe/spacecat-api-service, adobe/spacecat-shared, and adobe/spacecat-audit-worker. Highlights include AI-origin prompt change detection logic to prevent unnecessary geo-brand-presence triggers, reversion of AI-origin configuration changes in docs and llmo config to maintain stability, AI-generated prompts configuration validation, geo-brand presence AI categorization with data processing optimization (four-week relevancy filter and reduced analysis on config updates), and dev-dependency cleanup removing hyparquet-writer. These changes improve reliability, data integrity, performance, and maintainability while delivering tangible business value in faster, more accurate AI-driven geo-brand decisions.

October 2025: Implemented a significant enhancement in adobe/spacecat-audit-worker by removing the 200-prompt limit in the geo-brand-presence handler, enabling processing of all customer prompts and enriching context by concatenating customer prompts with parquet prompts. This unlocks fuller data utilization for geo-brand presence insights and improves downstream analytics and decision-making for customers. Change implemented as a fix to geo-brand-presence/handler.js with commit 5ee15d7279edeffbe06c818323ea3f99cb5fd076 (related to issue #1481).