vertelab/odoo-ai
Nov 2024 – Sep 2025
10 Months active
Languages Used
PythonCSVXMLJavaScriptSQLMarkdownTypeScript
Technical Skills
AI IntegrationBackend DevelopmentCRM IntegrationEmail IntegrationFull Stack DevelopmentLangchain
iammiracle
PROFILE
Iammiracle
Miracle Ayodele developed advanced AI agent integration and automation features for the vertelab/odoo-ai repository, focusing on seamless orchestration between email, CRM, and task management workflows. Leveraging Python, Odoo, and FastAPI, Miracle engineered robust modules for AI-driven lead capture, dynamic prompt handling, and rate-limited API interactions, while ensuring data integrity and secure authentication. The work included implementing Model Context Protocol (MCP) endpoints, enhancing vector search with domain filtering, and refining UI components for better user experience. Through careful code refactoring, test coverage, and maintainable design, Miracle delivered scalable, production-ready solutions that improved reliability, observability, and extensibility across the platform.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
91Total
Bugs
12
Commits
91
Features
29
Lines of code
39,942
Activity Months10
Your Network
9 people
Work History
September 2025
5 Commits • 1 Features
Sep 1, 2025September 2025 focused on delivering foundational Odoo AI tooling and stabilizing core data flows. Key feature delivered: Odoo Task Tools and Tooling Data Foundation enabling task discovery within a project, retrieval of detailed task descriptions, and updating task stages, with foundational tooling data to manage tool information within the AI framework. This work lays the groundwork for scalable AI-assisted task automation in Odoo. Major bugs fixed: Quest Endpoint robustness improved by removing spread operator in arguments model to simplify signature and prevent unexpected behavior; PostgreSQL cursor management stabilized by refactoring environment retrieval to prefer existing request environments and then the model's environment, plus proper URI handling; and read_odoo_resource return type corrected from a list of TextContent to a JSON string to simplify data handling and ensure raw JSON is returned. Overall impact and accomplishments: Improved reliability and developer productivity; reduced risk of runtime failures in API endpoints; simplified downstream integrations via consistent JSON responses; established a solid foundation for future AI-enabled task tooling. Technologies/skills demonstrated: Python, FastAPI, PostgreSQL, Odoo integration; API design and resilience; data formatting and JSON handling; refactoring to improve interface signatures.
5 Commits • 1 Features
Sep 1, 2025September 2025 focused on delivering foundational Odoo AI tooling and stabilizing core data flows. Key feature delivered: Odoo Task Tools and Tooling Data Foundation enabling task discovery within a project, retrieval of detailed task descriptions, and updating task stages, with foundational tooling data to manage tool information within the AI framework. This work lays the groundwork for scalable AI-assisted task automation in Odoo. Major bugs fixed: Quest Endpoint robustness improved by removing spread operator in arguments model to simplify signature and prevent unexpected behavior; PostgreSQL cursor management stabilized by refactoring environment retrieval to prefer existing request environments and then the model's environment, plus proper URI handling; and read_odoo_resource return type corrected from a list of TextContent to a JSON string to simplify data handling and ensure raw JSON is returned. Overall impact and accomplishments: Improved reliability and developer productivity; reduced risk of runtime failures in API endpoints; simplified downstream integrations via consistent JSON responses; established a solid foundation for future AI-enabled task tooling. Technologies/skills demonstrated: Python, FastAPI, PostgreSQL, Odoo integration; API design and resilience; data formatting and JSON handling; refactoring to improve interface signatures.
September 2025
August 2025
9 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for vertelab/odoo-ai. Focused on Model Context Protocol (MCP) integration for AI Quests, exposing AI Quests as MCP tools with dynamic endpoint generation, health checks, security, and tooling management across the AI agent and Odoo modules. Delivered end-to-end MCP plumbing, improved observability, and maintainability; reduced configuration drift through cleanup, README updates, and explicit argument visibility. Established foundation for external MCP-based integrations and future tooling expansion.
August 2025
9 Commits • 1 Features
Aug 1, 2025August 2025 monthly summary for vertelab/odoo-ai. Focused on Model Context Protocol (MCP) integration for AI Quests, exposing AI Quests as MCP tools with dynamic endpoint generation, health checks, security, and tooling management across the AI agent and Odoo modules. Delivered end-to-end MCP plumbing, improved observability, and maintainability; reduced configuration drift through cleanup, README updates, and explicit argument visibility. Established foundation for external MCP-based integrations and future tooling expansion.
June 2025
4 Commits • 1 Features
Jun 1, 2025June 2025 (2025-06) Monthly Summary for vertelab/odoo-ai. Focused on robustness improvements and search capability enhancements that enable safer cross-module interactions and more accurate, scoped search results. All work aligns with business value: reducing integration risk, improving user-facing search quality, and strengthening test coverage.
4 Commits • 1 Features
Jun 1, 2025June 2025 (2025-06) Monthly Summary for vertelab/odoo-ai. Focused on robustness improvements and search capability enhancements that enable safer cross-module interactions and more accurate, scoped search results. All work aligns with business value: reducing integration risk, improving user-facing search quality, and strengthening test coverage.
June 2025
May 2025
13 Commits • 5 Features
May 1, 2025May 2025 summary for vertelab/odoo-ai: Delivered reliability, data integrity, and UX improvements across AI workflows. Implemented TPM/RPM rate limiting with tiktoken, hardened AI Quest data integrity and ownership controls, strengthened JSON handling for server actions, polished Kanban/UI for AI Quest, and improved cron-based quest reliability with enhanced error handling and debugging. Addressed localization path alignment and agent_hr XPath correctness to reduce maintenance frictions. These changes reduce runtime errors, optimize cost control for AI services, and improve developer and user productivity.
May 2025
13 Commits • 5 Features
May 1, 2025May 2025 summary for vertelab/odoo-ai: Delivered reliability, data integrity, and UX improvements across AI workflows. Implemented TPM/RPM rate limiting with tiktoken, hardened AI Quest data integrity and ownership controls, strengthened JSON handling for server actions, polished Kanban/UI for AI Quest, and improved cron-based quest reliability with enhanced error handling and debugging. Addressed localization path alignment and agent_hr XPath correctness to reduce maintenance frictions. These changes reduce runtime errors, optimize cost control for AI services, and improve developer and user productivity.
April 2025
19 Commits • 7 Features
Apr 1, 2025April 2025 performance summary for vertelab/odoo-ai: Delivered critical reliability, configurability, and UX improvements across the AI agent framework. Implemented a rate limiting framework with TPM/RPM checks, usage tracking, and sleep behavior to regulate API usage and prevent overages. Fixed TPM limit enforcement to raise a UserError when limits are near being exceeded, ensuring proper adherence. Expanded AI model configuration visibility by exposing TPM/RPM, context_window, and temperature settings, with updates to initialization behavior for easier control. Migrated graph rendering from direct images to Mermaid.js visualization and added serialization support for graphs, enhancing UI performance and accessibility. Restructured AI Quest mail flow to support overrides and more precise control over when the AI responds and which quest instructions are passed to the agent. Enhanced product attribute value data model and UI/configuration, exposing TPM/RPM, context_window, and has_temperature for templates/values. Performed essential codebase maintenance to remove deprecated modules and address Anthropic data handling paths, keeping the codebase clean and functional. Updated the AI Supervisor prompt to prioritize worker selection before evaluating response completeness. Overall impact: improved reliability, cost control, configurability, and maintainability, enabling safer and more observable AI usage with clearer governance for agents and supervisors.
19 Commits • 7 Features
Apr 1, 2025April 2025 performance summary for vertelab/odoo-ai: Delivered critical reliability, configurability, and UX improvements across the AI agent framework. Implemented a rate limiting framework with TPM/RPM checks, usage tracking, and sleep behavior to regulate API usage and prevent overages. Fixed TPM limit enforcement to raise a UserError when limits are near being exceeded, ensuring proper adherence. Expanded AI model configuration visibility by exposing TPM/RPM, context_window, and temperature settings, with updates to initialization behavior for easier control. Migrated graph rendering from direct images to Mermaid.js visualization and added serialization support for graphs, enhancing UI performance and accessibility. Restructured AI Quest mail flow to support overrides and more precise control over when the AI responds and which quest instructions are passed to the agent. Enhanced product attribute value data model and UI/configuration, exposing TPM/RPM, context_window, and has_temperature for templates/values. Performed essential codebase maintenance to remove deprecated modules and address Anthropic data handling paths, keeping the codebase clean and functional. Updated the AI Supervisor prompt to prioritize worker selection before evaluating response completeness. Overall impact: improved reliability, cost control, configurability, and maintainability, enabling safer and more observable AI usage with clearer governance for agents and supervisors.
April 2025
March 2025
12 Commits • 5 Features
Mar 1, 2025March 2025 summary for vertelab/odoo-ai focusing on delivering user-centric AI prompts, robust agent orchestration, and improved field-service workflows. The work emphasizes reliability, maintainability, and business value through context-aware prompts, improved markdown rendering, and safer production behavior.
March 2025
12 Commits • 5 Features
Mar 1, 2025March 2025 summary for vertelab/odoo-ai focusing on delivering user-centric AI prompts, robust agent orchestration, and improved field-service workflows. The work emphasizes reliability, maintainability, and business value through context-aware prompts, improved markdown rendering, and safer production behavior.
February 2025
22 Commits • 6 Features
Feb 1, 2025February 2025: Delivered core AI Agent integration for Odoo 18.0, advanced Powerbox integration, UI improvements, and targeted bug fixes in vertelab/odoo-ai. The work strengthens automation reliability, user clarity, and maintainability, enabling broader AI-assisted workflows across the platform.
22 Commits • 6 Features
Feb 1, 2025February 2025: Delivered core AI Agent integration for Odoo 18.0, advanced Powerbox integration, UI improvements, and targeted bug fixes in vertelab/odoo-ai. The work strengthens automation reliability, user clarity, and maintainability, enabling broader AI-assisted workflows across the platform.
February 2025
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly performance summary for vertelab/odoo-ai. Delivered foundational AI Agent Integration Framework for Odoo (ai_agent module), establishing architecture for AI agents, LLMs, and tools, along with manifests, model definitions, security configurations, and initial data. Completed a version migration/refactor to align ai_agent with the newer Odoo release, enabling scalable AI capabilities within the platform. This work lays groundwork for governance, security, and extensibility of AI features in Odoo.
January 2025
2 Commits • 1 Features
Jan 1, 2025January 2025 monthly performance summary for vertelab/odoo-ai. Delivered foundational AI Agent Integration Framework for Odoo (ai_agent module), establishing architecture for AI agents, LLMs, and tools, along with manifests, model definitions, security configurations, and initial data. Completed a version migration/refactor to align ai_agent with the newer Odoo release, enabling scalable AI capabilities within the platform. This work lays groundwork for governance, security, and extensibility of AI features in Odoo.
December 2024
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for vertelab/odoo-ai focused on delivering AI Agent – e-avrop type support and CRM integration. The work includes refactoring AI agent prompts, introducing 'e-avrop' type, partial variables, a JSON output parser for structured responses, and updates to mail handling to support the 'e-avrop' type with CRM lead creation. Result: end-to-end automation from email to CRM and improved data quality.
1 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for vertelab/odoo-ai focused on delivering AI Agent – e-avrop type support and CRM integration. The work includes refactoring AI agent prompts, introducing 'e-avrop' type, partial variables, a JSON output parser for structured responses, and updates to mail handling to support the 'e-avrop' type with CRM lead creation. Result: end-to-end automation from email to CRM and improved data quality.
December 2024
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) — vertelab/odoo-ai: Delivered AI Mail Module and AI Agent Integration with CRM Lead Creation, enabling automated lead capture from email analysis and tighter CRM workflow. Implemented AI mailbox management, AI agent handshake, and CRM linkage, as evidenced by commits: a33a7671ccfaf69773c2c8a8c9f74c13ae35f485 (ai mail), ba7f841d4968ae76a3223ab914a326dae56885ec (ai agent setup and handshake with ai mail), and 7d381ddc459e39cf40fa9dc4f56023f1cfa42fa3 (connection between crm and mail ai). Major maintenance improvement: removed a duplicate create_agent function from AIAgent model to simplify the codebase post-refactor (commit 333cde966b8e89f57d496825efb2a27dc145f05c).
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024 (2024-11) — vertelab/odoo-ai: Delivered AI Mail Module and AI Agent Integration with CRM Lead Creation, enabling automated lead capture from email analysis and tighter CRM workflow. Implemented AI mailbox management, AI agent handshake, and CRM linkage, as evidenced by commits: a33a7671ccfaf69773c2c8a8c9f74c13ae35f485 (ai mail), ba7f841d4968ae76a3223ab914a326dae56885ec (ai agent setup and handshake with ai mail), and 7d381ddc459e39cf40fa9dc4f56023f1cfa42fa3 (connection between crm and mail ai). Major maintenance improvement: removed a duplicate create_agent function from AIAgent model to simplify the codebase post-refactor (commit 333cde966b8e89f57d496825efb2a27dc145f05c).
Activity
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Quality Metrics
Correctness84.2%
Maintainability84.0%
Architecture81.0%
Performance75.6%
AI Usage39.0%
Skills & Technologies
Programming Languages
CSVJavaScriptMarkdownPythonSQLTypeScriptXML
Technical Skills
AI Agent DevelopmentAI Agent OrchestrationAI DevelopmentAI IntegrationAI Prompt EngineeringAI/MLAI/ML IntegrationAPI DevelopmentAPI IntegrationAuthenticationBackend DevelopmentCRM IntegrationCode CleanupCode ManagementCode Refactoring
Repositories Contributed To
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