vertelab/odoo-ai
Nov 2024 – Oct 2025
10 Months active
Languages Used
PythonSVGCSVJavaScriptXMLPOText
Technical Skills
AI IntegrationBackend DevelopmentLLM IntegrationORMOdoo DevelopmentOdoo Module Development
marcuszxc
PROFILE
Marcuszxc
Marcus developed and maintained the vertelab/odoo-ai repository, building an extensible AI agent framework for the Odoo platform. He engineered features such as LLM integration, automated lead creation from email, and AI-driven field service workflows, using Python, PostgreSQL, and LangChain. His work included robust backend refactoring, configuration management, and the introduction of vector-based memory with pgvector, enhancing both reliability and scalability. Marcus addressed localization, access control, and session handling, ensuring maintainable code and smooth user experience. He also laid the foundation for audio processing and improved traceability, demonstrating depth in AI/ML integration, database management, and full stack development.
Overall Statistics
Feature vs Bugs
77%Features
Repository Contributions
47Total
Bugs
5
Commits
47
Features
17
Lines of code
16,743
Activity Months10
Your Network
9 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on delivering traceability enhancements for AIQuest integration in virtelab/odoo-ai. The work center on enabling linking AI agent operations to specific records to improve auditing and debugging while maintaining system performance.
1 Commits • 1 Features
Oct 1, 2025Concise monthly summary for 2025-10 focused on delivering traceability enhancements for AIQuest integration in virtelab/odoo-ai. The work center on enabling linking AI agent operations to specific records to improve auditing and debugging while maintaining system performance.
October 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Focused on stabilizing the Vector integration in vertelab/odoo-ai and enabling update-capable product attributes. Delivered a targeted fix to the Vector import path, updated the data model to allow updates by making model_id in AIAgentLLM non-required, and added a mechanism to toggle noupdate for product attribute values to support update flows. The work is anchored by commit f2251039b7a785a9d3b365cc8d4e9a15dfeb0836 ('T/4977 correcting line, "from pgvector.asyncpg import Vector"').
August 2025
1 Commits • 1 Features
Aug 1, 2025August 2025: Focused on stabilizing the Vector integration in vertelab/odoo-ai and enabling update-capable product attributes. Delivered a targeted fix to the Vector import path, updated the data model to allow updates by making model_id in AIAgentLLM non-required, and added a mechanism to toggle noupdate for product attribute values to support update flows. The work is anchored by commit f2251039b7a785a9d3b365cc8d4e9a15dfeb0836 ('T/4977 correcting line, "from pgvector.asyncpg import Vector"').
July 2025
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for vertelab/odoo-ai. The team focused on laying groundwork for media/audio features by introducing pydub as a dependency, enabling future audio manipulation workflows and YouTube-related audio processing. There were no user-facing feature releases this month; instead, preparations were made to accelerate upcoming capabilities. Key outcomes include dependency updates and a solid foundation for audio pipelines, which will unlock enhanced media processing and potential new business value in subsequent sprints.
1 Commits • 1 Features
Jul 1, 2025July 2025 monthly summary for vertelab/odoo-ai. The team focused on laying groundwork for media/audio features by introducing pydub as a dependency, enabling future audio manipulation workflows and YouTube-related audio processing. There were no user-facing feature releases this month; instead, preparations were made to accelerate upcoming capabilities. Key outcomes include dependency updates and a solid foundation for audio pipelines, which will unlock enhanced media processing and potential new business value in subsequent sprints.
July 2025
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 monthly summary for vertelab/odoo-ai: Delivered key features to enhance LLM product usage, fixed robustness issues, and improved localization. Specifics include added demo data for LLMs and enhanced chat write access enabling minimal users to participate, plus tests validating message delivery in chat and channel contexts. Implemented robust AI agent session handling to gracefully handle cases where objects may lack records, and updated the module manifest with a new berget_ai data file. Fixed Swedish localization typos in ai_agent sv.po to improve UI translations. These changes enhance user engagement, reliability, and localization, delivering clear business value and broader product applicability.
May 2025
3 Commits • 1 Features
May 1, 2025May 2025 monthly summary for vertelab/odoo-ai: Delivered key features to enhance LLM product usage, fixed robustness issues, and improved localization. Specifics include added demo data for LLMs and enhanced chat write access enabling minimal users to participate, plus tests validating message delivery in chat and channel contexts. Implemented robust AI agent session handling to gracefully handle cases where objects may lack records, and updated the module manifest with a new berget_ai data file. Fixed Swedish localization typos in ai_agent sv.po to improve UI translations. These changes enhance user engagement, reliability, and localization, delivering clear business value and broader product applicability.
April 2025
9 Commits • 2 Features
Apr 1, 2025April 2025 — vertelab/odoo-ai: Delivered reliability and capabilities enhancements in AI memory management with pgvector integration, introduced RAG testing tooling for pg_vector, fixed multi-document handling in RAG with improved logging, and corrected Swedish localization for the ai_agent UI. Key commits include 2a2642b1638885660645dc62c8c436c04407f13f, 3b751fa6dc51815849b46522231088a2842db6f9, b6f522731382d19767c55ed4c4c94d34279e8bb1, a0b562d09d1fa89aabe65c1ee0aecd2f4b4e8f9a, d2daa710ca53a50021f921b62592f15c81f4532f, 430feea8b7460f42d67d414d5b011e43120d9c4a, 8b1035a1620dae7d0cb86f0d8a16c17c23b753dc, b960f204b220c20036947fc513a2294df1166b06, 7959a08a6f30397143a2733cf42b872d6a618ba4. These changes improved domain-aware embedding filtering, memory retrieval, and vector field handling; enabled end-to-end RAG validation; ensured complete content inclusion from FAISS; and improved localization UX. Overall impact: higher reliability, faster validation cycles, better user experience, and maintainable codebase. Technologies demonstrated: Python, pgvector, FAISS, RAG tooling, i18n, logging, and testing automation.
9 Commits • 2 Features
Apr 1, 2025April 2025 — vertelab/odoo-ai: Delivered reliability and capabilities enhancements in AI memory management with pgvector integration, introduced RAG testing tooling for pg_vector, fixed multi-document handling in RAG with improved logging, and corrected Swedish localization for the ai_agent UI. Key commits include 2a2642b1638885660645dc62c8c436c04407f13f, 3b751fa6dc51815849b46522231088a2842db6f9, b6f522731382d19767c55ed4c4c94d34279e8bb1, a0b562d09d1fa89aabe65c1ee0aecd2f4b4e8f9a, d2daa710ca53a50021f921b62592f15c81f4532f, 430feea8b7460f42d67d414d5b011e43120d9c4a, 8b1035a1620dae7d0cb86f0d8a16c17c23b753dc, b960f204b220c20036947fc513a2294df1166b06, 7959a08a6f30397143a2733cf42b872d6a618ba4. These changes improved domain-aware embedding filtering, memory retrieval, and vector field handling; enabled end-to-end RAG validation; ensured complete content inclusion from FAISS; and improved localization UX. Overall impact: higher reliability, faster validation cycles, better user experience, and maintainable codebase. Technologies demonstrated: Python, pgvector, FAISS, RAG tooling, i18n, logging, and testing automation.
April 2025
March 2025
8 Commits • 3 Features
Mar 1, 2025March 2025 summary for vertelab/odoo-ai focused on delivering AI-enabled field service capabilities with automated collaboration and robust memory/context handling. Key features were delivered to streamline field service workflows, improve AI interactions, and reduce manual overhead. The work includes end-to-end integration of AI quests with field service orders, enhanced AI memory/context for reliable batching and asynchronous processing, and automated chat channel membership for order lines and quest sessions. These efforts lay groundwork for scalable AI-assisted field service operations and Faster issue resolution.
March 2025
8 Commits • 3 Features
Mar 1, 2025March 2025 summary for vertelab/odoo-ai focused on delivering AI-enabled field service capabilities with automated collaboration and robust memory/context handling. Key features were delivered to streamline field service workflows, improve AI interactions, and reduce manual overhead. The work includes end-to-end integration of AI quests with field service orders, enhanced AI memory/context for reliable batching and asynchronous processing, and automated chat channel membership for order lines and quest sessions. These efforts lay groundwork for scalable AI-assisted field service operations and Faster issue resolution.
February 2025
18 Commits • 5 Features
Feb 1, 2025February 2025: Upgraded the AI agent for Odoo 18.0 compatibility and modernized AI workflows, delivering core refactors, enhanced error handling, and robust LLM retry stability. Implemented API Key Fallback and improved chat channel routing to ensure AI quests attach to the correct conversations. Strengthened AI memory and LLM reliability with memory retries and robust dictionary-based question retrieval. Improved AI Quest UI/UX with enhanced rendering, a new sub_description field, and cleaner logging and asset paths. Completed asset and dependency cleanup, updated tooling, and added Grok branding assets, reducing technical debt and improving maintainability.
18 Commits • 5 Features
Feb 1, 2025February 2025: Upgraded the AI agent for Odoo 18.0 compatibility and modernized AI workflows, delivering core refactors, enhanced error handling, and robust LLM retry stability. Implemented API Key Fallback and improved chat channel routing to ensure AI quests attach to the correct conversations. Strengthened AI memory and LLM reliability with memory retries and robust dictionary-based question retrieval. Improved AI Quest UI/UX with enhanced rendering, a new sub_description field, and cleaner logging and asset paths. Completed asset and dependency cleanup, updated tooling, and added Grok branding assets, reducing technical debt and improving maintainability.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered AI Agent enhancements and access control fixes for vertelab/odoo-ai. Result: more capable AI agent workflows, improved security and maintainability, and a clearer path for broader AI features. Technologies demonstrated include Python refactoring, Odoo module architecture, LangGraph integration, and CSV-based access control handling.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025: Delivered AI Agent enhancements and access control fixes for vertelab/odoo-ai. Result: more capable AI agent workflows, improved security and maintainability, and a clearer path for broader AI features. Technologies demonstrated include Python refactoring, Odoo module architecture, LangGraph integration, and CSV-based access control handling.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for vertelab/odoo-ai highlights a focused feature delivery that advances AI-driven automation and lead management. The team refactored the AI Agent to introduce models for quests and sessions, enabling richer AI interactions and a tighter end-to-end workflow. The AI agent now processes inbound emails to extract data and automatically create leads, closing the loop from email intake to CRM data entry. No major bugs were reported this month; activities concentrated on delivering a robust feature with clean, maintainable code and clear traceability.
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for vertelab/odoo-ai highlights a focused feature delivery that advances AI-driven automation and lead management. The team refactored the AI Agent to introduce models for quests and sessions, enabling richer AI interactions and a tighter end-to-end workflow. The AI agent now processes inbound emails to extract data and automatically create leads, closing the loop from email intake to CRM data entry. No major bugs were reported this month; activities concentrated on delivering a robust feature with clean, maintainable code and clear traceability.
December 2024
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024: Delivered foundational AI agent framework within the Odoo platform (vertelab/odoo-ai). Established module scaffolding for ai_agent, core models for AI agents and their LLM configurations, basic prompt interaction methods, and agent categorization via ai_type to enable AI-driven features and configurability. This creates a scalable base for future AI-powered automation and decision support within customer workflows.
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024: Delivered foundational AI agent framework within the Odoo platform (vertelab/odoo-ai). Established module scaffolding for ai_agent, core models for AI agents and their LLM configurations, basic prompt interaction methods, and agent categorization via ai_type to enable AI-driven features and configurability. This creates a scalable base for future AI-powered automation and decision support within customer workflows.
Activity
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Quality Metrics
Correctness85.0%
Maintainability85.2%
Architecture81.6%
Performance74.0%
AI Usage37.4%
Skills & Technologies
Programming Languages
CSVJavaScriptPOPythonSVGTextXML
Technical Skills
AI Agent DevelopmentAI IntegrationAI/MLAI/ML IntegrationAPI IntegrationBackend DevelopmentBug FixingCRM IntegrationCode RefactoringConfiguration ManagementData EngineeringDatabase IntegrationDatabase ManagementDebuggingDependency Management
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