The fake audio upstream bound the test host's loopback, which the Unraid
media server cannot reach (and its LAN route is firewalled). Local runs
keep the controlled upstream; remote runs use a public reference mp3 and
assert Range semantics without byte equality. docker-exec MCP probes
skip on remote targets (they necessarily exercise the local container).
The Unraid deployment's /media/api requests were answered by an
Apache/YOURLS stack squatting on 8092, surfacing as UI 503s; the CI
healthcheck (curl without -f) counted that 503 as healthy, so run #15
deployed green against a broken media server.
- media server port 8092 -> 8093 everywhere (server, MCP, agent, nginx,
compose, CI, .env.example, docs, tests).
- healthchecks use curl -f in compose and rebuild.yml so HTTP error
statuses fail deployment.
- tests default to the Unraid deployment (VOICE_WEB_URL=
https://192.168.86.2:9178); token goes through nginx (loopback :8091
is unreachable off-host); bind-mount-coupled tests skip on remote
targets. AGENTS.md documents the convention and both failure modes.
A missing env var aborts supervisord's %(ENV_x)s config expansion and
takes every program down, which is why the media-player merge failed
CI (run 151): rebuild.yml's docker run did not pass MEDIA_DIR /
MEDIA_SERVER_PORT / YTDLP_COOKIES.
- supervisord.conf: media-server inherits those vars from the container
environment instead of hard-requiring them (media_server.py has safe
defaults for all three).
- rebuild.yml: mount the media library volume, pass the media env, and
extend the healthcheck to the media server healthz.
- compose: YTDLP_COOKIES defaults to the conventional /data/media/
cookies.txt path (ignored unless the file exists).
Parity verified: container started with CI's exact env (no media vars)
— all five programs RUNNING.
Small local models (qwen2.5-vl-3b, gemma-4-e4b) narrate actions ('Sure,
I'll pause the music') without emitting the tool call once the full
system prompt and 26-tool set are in context. Measured: qwen emitted
tools in 2/8 realistic intents, gemma 5/8; single-tool tests pass 100%,
so this is context-induced drift, not plumbing.
- agent/intent_router.py: deterministic forced-call router for
high-frequency intents — media controls, now_playing/list_library,
'remember that ...' memory saves, explicit YouTube Music searches,
and personal-fact recall (memory_recall/search_notes/skill_recall,
excluded for weather/time questions). Fires only when the tool is
available; guards against how-do-I questions.
- agent.py: generalize _ForcedToolCallStream to any tool; route through
intent_router after the dispatch check. System prompt adds a hard
'call, don't narrate' rule and reconditions 'answer directly'.
- tests/test_intent_router.py: 30 unit tests pinning router behavior.
Verified against the live LLM with the full fidelity harness: combined
forced-or-emitted coverage 8/8 on qwen2.5-vl-3b (was 2/8) and 8/8 on
gemma-4-e4b (was 5/8). Full suite: 79 passed.
- yt-dlp stderr now goes to a temp file so a chatty stderr can never
deadlock the stdout progress loop.
- report/search/seek numeric parsing returns 400 instead of 500.
- now-playing card reflects failed/preparing download states.
- media runtime data (library.json, jobs/) is gitignored; only
.gitkeep is tracked.
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