Odoo-LLM - AI-Powered Business Automation Framework

Odoo-LLM - AI-Powered Business Automation Framework

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Categories

AIOpen Source

Project Length

Ongoing (2024-Present)

Deliverables

Open Source AI Framework, LLM Integration, RAG System, Odoo Modules, Developer Tools

AI-powered business automation for Odoo - Odoo-LLM is an open-source framework that brings the power of Large Language Models directly into Odoo ERP systems. Instead of building custom AI integrations from scratch, businesses can leverage this production-ready framework to add intelligent automation, natural language interfaces, and AI-powered decision making to their operations.

The project demonstrates Apexive's expertise in both AI/ML and enterprise systems. By making this framework open-source with MIT licensing, we're enabling businesses worldwide to harness cutting-edge AI technology without expensive proprietary solutions or lengthy development cycles.

Challenge

Businesses using Odoo ERP face a significant challenge when trying to integrate AI capabilities: existing solutions are either expensive SaaS platforms that require data export, or they require substantial custom development to integrate LLMs into business workflows. Companies need AI assistance for customer service, content generation, data analysis, and process automation—but lack the expertise or resources to build these integrations securely and efficiently.

Key challenges businesses face with AI integration:

  • No unified framework for integrating multiple LLM providers into Odoo
  • Building secure AI features requires specialized expertise in both AI and ERP systems
  • Each AI provider (OpenAI, Anthropic, etc.) has different APIs, making multi-provider support complex
  • Implementing Retrieval-Augmented Generation (RAG) with vector databases is technically challenging
  • No standard way to give LLMs safe, controlled access to business data
  • Tool-calling and function execution frameworks need careful security design
  • Managing AI assistant configurations, prompts, and roles across departments is cumbersome
  • Scaling AI infrastructure and managing API costs requires careful architecture

The Odoo community needed a comprehensive, production-ready framework that could democratize AI integration while maintaining security, flexibility, and cost-effectiveness. After implementing AI features across numerous client projects, we identified patterns worth open-sourcing.

Development Process

Tech Stack

  • Backend: Python/Odoo 16.0 Framework
  • AI Providers: OpenAI, Anthropic Claude, Ollama, Mistral, Replicate, LiteLLM, FAL.ai
  • Vector Databases: ChromaDB, pgvector, Qdrant
  • RAG Framework: Custom retrieval-augmented generation implementation
  • API Architecture: Unified provider abstraction layer
  • Security: Role-based access control, API key management
  • License: MIT (fully open-source)

Modular Framework Architecture

Odoo-LLM is designed as a comprehensive yet modular system. Each component can function independently while integrating seamlessly with others. The architecture follows Odoo best practices and provides clean abstractions over complex AI functionality.

Core Foundation Modules (5 modules):

1. llm (v16.0.1.3.0) - Base infrastructure providing unified API across all LLM providers

2. llm_assistant (v16.0.1.4.0) - AI assistants with customizable prompt templates and role-based configurations

3. llm_generate (v16.0.2.0.0) - Unified content generation API for text and image creation

4. llm_tool (v16.0.3.0.0) - Tool framework enabling LLMs to execute functions and interact with Odoo data

5. llm_store (v16.0.1.0.0) - Vector store abstraction supporting multiple databases

AI Provider Modules:

  • llm_openai - OpenAI GPT-4, GPT-3.5 integration
  • llm_anthropic - Anthropic Claude integration
  • llm_ollama - Local LLM deployment with Ollama
  • llm_mistral - Mistral AI integration
  • llm_litellm - Multi-provider proxy support
  • llm_replicate - Replicate AI models integration
  • llm_fal_ai - FAL.ai integration for image generation

Knowledge Base & RAG Modules:

  • llm_knowledge - Document storage, indexing, and semantic search
  • llm_knowledge_automation - Automated knowledge base updates
  • llm_tool_knowledge - LLM tools for knowledge retrieval

Vector Store Implementations:

  • llm_chroma - ChromaDB integration
  • llm_pgvector - PostgreSQL vector extension support
  • llm_qdrant - Qdrant vector database integration

User Interface & Interaction:

  • llm_thread - Chat threading with conversation history
  • Real-time streaming responses with tool execution visibility
  • Customizable chat interface integrated into Odoo UI

Unified Provider Abstraction

One of Odoo-LLM's most powerful features is the unified API that works identically across all AI providers. Switch from OpenAI to Claude to local Ollama models without changing your application code. This provider-agnostic design ensures businesses aren't locked into any single AI vendor.

Security & Access Control

Enterprise-grade security is built into every layer:

  • Role-based access control for AI features and assistants
  • Secure API key management with encryption
  • Tool execution permissions and sandboxing
  • Audit logging for all AI interactions
  • Data privacy controls for sensitive information

Production-Ready from Real-World Use

Every module in Odoo-LLM has been battle-tested in production Odoo deployments. We extracted and refined these components from actual client implementations, ensuring they handle real-world complexity, scale, and edge cases effectively.

Solution

Odoo-LLM transforms how businesses leverage AI by providing a complete, production-ready framework that eliminates months of development work. Companies can now add sophisticated AI capabilities to their Odoo systems in days instead of months.

Key Capabilities:

  • Multi-Provider AI Integration: Support for OpenAI, Anthropic Claude, Ollama, Mistral, Replicate, and more through a unified API
  • Intelligent Chat Interface: Real-time streaming conversations with tool execution visibility and conversation history
  • RAG Knowledge Base: Document storage, semantic search, and retrieval-augmented generation for accurate, context-aware responses
  • Vector Database Support: ChromaDB, pgvector, and Qdrant integration for efficient similarity search
  • AI Assistants: Pre-configured assistants with role-based prompts for sales, support, operations, and custom use cases
  • Tool Framework: Enable LLMs to execute functions, query databases, and interact with Odoo data safely
  • Content Generation: Automated text and image creation for marketing, documentation, and communications
  • Flexible Deployment: Cloud-based APIs or local Ollama models for data privacy

Business Applications:

  • Customer Service: AI-powered chat with access to order history, product catalogs, and knowledge bases
  • Sales Automation: Generate proposals, product recommendations, and personalized communications
  • Operations: Automate report generation, data analysis, and process documentation
  • HR & Training: AI assistants for onboarding, policy questions, and employee support
  • Marketing: Content generation, SEO optimization, and campaign ideation

Developer Benefits:

  • Provider-agnostic code—switch AI vendors without rewriting applications
  • Comprehensive documentation and examples for quick implementation
  • Modular installation—use only the components you need
  • Type-safe APIs reduce integration errors
  • Active community support and regular updates
  • MIT licensing enables unrestricted commercial use

Business Impact:

  • Reduce AI integration time from months to days
  • Avoid vendor lock-in with multi-provider support
  • Lower costs with flexible deployment options (cloud or on-premise)
  • Maintain data privacy with local LLM options
  • Scale AI features across departments without custom development
  • Future-proof AI infrastructure with provider abstraction

The framework is actively developed with new providers, features, and optimizations added regularly based on community feedback and production requirements.

High Level Features

Multi-

Provider AI Support Unified API supporting OpenAI, Anthropic Claude, Ollama, Mistral, Replicate, LiteLLM, and FAL.ai—switch providers without code changes.

RAG

Knowledge Base Document storage with semantic search and retrieval-augmented generation for accurate, context-aware AI responses.

Vector

Database Integration Support for ChromaDB, pgvector, and Qdrant for efficient similarity search and document retrieval.

AI-

Powered Chat Interface Real-time streaming conversations with tool execution display, conversation history, and multi-turn context.

Tool

Execution Framework Enable LL Ms to safely execute functions, query databases, and interact with Odoo data through controlled permissions.

Customizable AI

Assistants Role-based assistants with prompt templates for sales, support, operations, and custom business functions.

Content

Generation Automated text and image creation for marketing materials, documentation, product descriptions, and communications.

Local &

Cloud Deployment Flexible deployment with cloud-based AP Is or local Ollama models for complete data privacy and cost control.

Enterprise

Security Role-based access control, encrypted API key management, tool execution permissions, and comprehensive audit logging.

Modular

Architecture Install only needed components—from basic chat to full RAG systems—with seamless integration between modules.

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