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https://github.com/NousResearch/hermes-agent.git
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b430b5acfe
Replace OpenAI-only STT with a dual-provider system mirroring the TTS architecture (Edge TTS free / ElevenLabs paid): STT: faster-whisper local (free, default) / OpenAI Whisper API (paid) Changes: - tools/transcription_tools.py: Full rewrite with provider dispatch, config loading, local faster-whisper backend, and OpenAI API backend. Auto-downloads model (~150MB for 'base') on first voice message. Singleton model instance reused across calls. - pyproject.toml: Add faster-whisper>=1.0.0 as core dependency - hermes_cli/config.py: Expand stt config to match TTS pattern with provider selection and per-provider model settings - agent/context_compressor.py: Fix .strip() crash when LLM returns non-string content (dict from llama.cpp, None). Fixes #1100 partially. - tests/: 23 new tests for STT providers + 2 for compressor fix - docs/: Updated Voice & TTS page with STT provider table, model sizes, config examples, and fallback behavior Fallback behavior: - Local not installed → OpenAI API (if key set) - OpenAI key not set → local whisper (if installed) - Neither → graceful error message to user Co-authored-by: Jah-yee <Jah-yee@users.noreply.github.com> |
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| .. | ||
| _category_.json | ||
| batch-processing.md | ||
| browser.md | ||
| checkpoints.md | ||
| code-execution.md | ||
| context-files.md | ||
| cron.md | ||
| delegation.md | ||
| honcho.md | ||
| hooks.md | ||
| image-generation.md | ||
| mcp.md | ||
| memory.md | ||
| personality.md | ||
| provider-routing.md | ||
| rl-training.md | ||
| skills.md | ||
| tools.md | ||
| tts.md | ||
| vision.md | ||