Orchestrate specialized AI agents across finance, legal, and healthcare with intelligent routing, parallel execution, and RAG-powered knowledge retrieval.
Purpose-built agents that understand domain-specific context, tools, and workflows across enterprise verticals.
Intelligent classification of queries to the correct specialized agent. Automatically detects finance, legal, and healthcare intents with high accuracy.
Parallel execution of multiple domain agents for cross-domain queries. Coordinate responses from finance, legal, and healthcare simultaneously.
Retrieval-Augmented Generation with ChromaDB vector store for domain-specific knowledge. Ground agent responses in verified enterprise data.
Domain-specific tool integration for each agent. Finance tools for market data, legal tools for case lookup, healthcare tools for clinical references.
Comprehensive test suite with 27 evaluation cases across routing accuracy, tool usage, and response quality metrics. 23 tests currently passing.
Fully asynchronous request processing with FastAPI. Non-blocking agent execution enables high-throughput parallel query handling.
A modular pipeline from client request to domain-specific agent execution with tool and knowledge integration.
Rigorous testing across routing, tool usage, and response quality to ensure production-grade reliability.
Validates that queries are classified and dispatched to the correct domain agent across finance, legal, and healthcare categories.
Ensures agents select and invoke the correct domain-specific tools with properly structured parameters for each query type.
Measures completeness, accuracy, and domain relevance of generated responses against gold-standard reference answers.
Combined evaluation across all 27 test cases covering end-to-end agent behavior from routing through final response generation.
Clone, install dependencies, and launch the platform with a few commands.
# Clone the repository $ git clone https://github.com/BabyChrist666/enterprise-ai-agent-platform.git $ cd enterprise-ai-agent-platform # Install Python dependencies $ pip install -r requirements.txt # Set up environment variables $ cp .env.example .env # Add your Cohere API key to .env # Install frontend dependencies $ cd frontend && npm install
# Start the FastAPI backend $ uvicorn backend.api.main:app --reload --port 8000 # In a separate terminal, start the frontend $ cd frontend $ npm run dev # API available at http://localhost:8000 # Frontend available at http://localhost:3000
# Run the full evaluation suite $ pytest backend/tests/ -v # Run specific domain tests $ pytest backend/tests/test_agents.py -v -k "finance" $ pytest backend/tests/test_agents.py -v -k "legal" $ pytest backend/tests/test_agents.py -v -k "healthcare" # 27 test cases | 23 passing | 85.2% pass rate
Open source and ready for production. Clone the repository, configure your domains, and start orchestrating intelligent agents.