feat: Implement EVD Clinical Screening AI Agent with adaptive questioning and LLM integration
Benedette Otieno
9fe6471
- Added README.md with detailed project overview, architecture, and usage instructions.
- Introduced .env.example for environment variable configuration.
- Created .gitignore to exclude Python artifacts and local environment secrets.
- Developed app.py for Gradio interface and session management.
- Added sample epidemiological context JSON file.
- Established evd_agent package with modules for conversation management, context engine, explainability, and reasoning.
- Implemented LLM client for structured clinical interview planning.
- Defined data models using Pydantic for patient facts, epidemiological context, and decision outputs.
- Integrated clinical reasoning logic based on Kenya MOH case definitions.
- Updated requirements.txt to include python-dotenv for environment variable management.
feat: Implement production API for EMR integration with FastAPI and Docker support
Benedette Otieno
a07fdc6
feat: Implement EVD Clinical Screening AI Agent with adaptive questioning and LLM integration
Benedette Otieno
ee1b868
- Added README.md with detailed project overview, architecture, and usage instructions.
- Introduced .env.example for environment variable configuration.
- Created .gitignore to exclude Python artifacts and local environment secrets.
- Developed app.py for Gradio interface and session management.
- Added sample epidemiological context JSON file.
- Established evd_agent package with modules for conversation management, context engine, explainability, and reasoning.
- Implemented LLM client for structured clinical interview planning.
- Defined data models using Pydantic for patient facts, epidemiological context, and decision outputs.
- Integrated clinical reasoning logic based on Kenya MOH case definitions.
- Updated requirements.txt to include python-dotenv for environment variable management.
