# Roadmap & Status

_Last updated: 2026-01-12_

## Current Capabilities

- Web UI (React-in-HTML) served by FastAPI
- Real-time conversation streaming over WebSockets
- Post-conversation analysis with evidence-backed outputs:
  - Bottom-up findings (emergent themes)
  - Top-down coding (care experience rubric + codebook categories)
- FastAPI backend with conversation management service
- Personas defined via YAML and loaded dynamically
- Ollama integration with fallback to `/api/generate`
- Hosted LLM support via OpenRouter (`LLM_BACKEND=openrouter`)
- Hugging Face Spaces (Docker) deployment

## Near-Term Priorities

1. **Configuration Panel (Personas + Prompts)**  
   Add a UI panel to select surveyor/patient personas and optionally tweak what the LLM receives (system prompts / parameters) without editing YAML.

2. **Evidence Export (Metadata Download)**  
   Add a “Download conversation metadata” UI action to export transcript + analysis output + provenance metadata (e.g., evidence pointers, prompt/schema versions).

3. **Basic Test Coverage**  
   Add smoke tests (mocked LLM responses) to prevent regressions in conversation flow and analysis schema parsing.

## Longer-Term Ideas

- Interactive persona editor within the UI
- Conversation playback and analytics
- Multi-model comparison mode
- Cloud-hosted deployment (Hugging Face Spaces or similar)

## How to Contribute

1. Sync with this roadmap and open a planning thread or issue for new work.
2. Keep docs up to date—update this file when priorities shift.
3. Follow the patterns in `backend/core/` and `config/settings.py` to keep configuration centralized.