atlas/tickets/done/TICKET-009_asr-engine-selection.md
ilia 4b9ffb5ddf docs: Update architecture and add new documentation for LLM and MCP
- Enhanced `ARCHITECTURE.md` with details on LLM models for work (Llama 3.1 70B Q4) and family agents (Phi-3 Mini 3.8B Q4).
- Introduced new documents:
  - `ASR_EVALUATION.md` for ASR engine evaluation and selection.
  - `HARDWARE.md` outlining hardware requirements and purchase plans.
  - `IMPLEMENTATION_GUIDE.md` for Milestone 2 implementation steps.
  - `LLM_CAPACITY.md` assessing VRAM and context window limits.
  - `LLM_MODEL_SURVEY.md` surveying open-weight LLM models.
  - `LLM_USAGE_AND_COSTS.md` detailing LLM usage and operational costs.
  - `MCP_ARCHITECTURE.md` describing the Model Context Protocol architecture.
  - `MCP_IMPLEMENTATION_SUMMARY.md` summarizing MCP implementation status.

These updates provide comprehensive guidance for the next phases of development and ensure clarity in project documentation.
2026-01-05 23:44:16 -05:00

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1.7 KiB
Markdown

# Ticket: Select ASR Engine and Target Hardware
## Ticket Information
- **ID**: TICKET-009
- **Title**: Select ASR Engine and Target Hardware
- **Type**: Research
- **Priority**: High
- **Status**: Done
- **Track**: Voice I/O
- **Milestone**: Milestone 1 - Survey & Architecture
- **Created**: 2024-01-XX
## Description
Decide on ASR (Automatic Speech Recognition) engine and deployment:
- Evaluate options: faster-whisper, Whisper.cpp, etc.
- Decide deployment: faster-whisper on 4080, CPU-only on small box, or shared
- Consider model size vs latency trade-offs
- Document hardware requirements
## Acceptance Criteria
- [x] ASR engine selected: **faster-whisper** (primary)
- [x] Target hardware decided: **RTX 4080 (primary)** or **CPU always-on node (alternative)**
- [x] Model size selected: **small** (or medium if GPU headroom available)
- [x] Latency requirements documented (< 2s target)
- [x] Decision recorded in architecture docs
## Technical Details
Considerations:
- faster-whisper on 4080: Lower latency, higher quality
- CPU-only on small box: Lower cost, higher latency
- Shared deployment: Resource contention considerations
- Model sizes: tiny/small/medium/base for latency/quality trade-off
## Dependencies
- TICKET-004 (architecture) - helpful context
## Related Files
- `docs/ASR_EVALUATION.md` (to be created)
- `ARCHITECTURE.md`
## Notes
Can run in parallel with TTS and LLM work. Needs wake-word event flow defined for when to start/stop capture.
## Progress Log
- 2024-01-XX - ASR evaluation document created (`docs/ASR_EVALUATION.md`)
- 2024-01-XX - Selected: faster-whisper with small model
- 2024-01-XX - Deployment: RTX 4080 (primary) or CPU always-on node (alternative)
- 2024-01-XX - Ready for implementation (TICKET-010)