Document the media server process, /media/ port map, library layout on
the ./media bind mount, Hope's media MCP toolset, the music/mic
mutual-exclusion rule, and yt-dlp download/proxy conventions.
- web/media_server.py: FastAPI service owning the permanent library
(library.json + ./media volume), yt-dlp YouTube Music search, queued
download jobs with mp3 transcode (ffmpeg), per-room player desired
state, and an HTTPS proxy for external live-stream URLs.
- agent/media_mcp.py: Hope tools — search_music, play_song,
offer_song_choices, pause/resume/stop/skip/seek, now_playing,
list_library, add_stream.
- agent/agent.py: media toolset wiring + conversation rule (music
playing disables the agent mic; re-engaging pauses music).
- web UI: slide-out Music panel (search, suggestions, library, live
stream add, play/pause, ±10s, seek, volume) with a reconciling poller
and media_state data-channel reports.
- token server returns the minted room name; nginx serves /media/files
as static (native Range) and proxies /media/api to the media server.
- supervisord runs media-server; compose mounts ./media and adds
ffmpeg to the image.
- Default LLM_MODEL to qwen2.5-vl-3b across agent, task worker, tests,
compose, workflow, and docs
- Cap min/max length-style constraints in tool schemas to 1000 before
LLM requests; llama.cpp rejects grammar repetitions >= 2000 and the
memory MCP's update_note body maxLength (200000) broke qwen2.5-vl-3b
with 'Failed to initialize samplers: failed to parse grammar'
- Move task_dir assignment before VoiceAssistant construction in
handle_job; UnboundLocalError was crashing every agent job before it
joined the room, leaving the UI stuck on 'Opening a secure room'
- Make settings sheet full-window height (100dvh) to match tasks panel
- Point the agent at OpenWebUI's OpenAI-compatible API (LLM_BASE_URL,
LLM_API_KEY, LLM_MODEL) with GEMMA_* env fallbacks
- Add list_available_models() fetching {base_url}/models, filtering
non-chat ids (embedding/reranker)
- Rename GemmaLLM -> HopeLLM with update_options(model=...) for runtime
model switching (mutates _opts.model) and instance-based compaction
- Data channel: agent publishes {type: models} after connect and on
get_models; set_model switches live and acks model_changed
- Web UI: Brain section in the settings sheet with a model picker that
persists the choice in localStorage
- Update tests, CI workflow env, and docs for the new endpoint
snowspeeder