vocero-client/docs/client/usage.md

# Client usage and configuration

The browser voice client connects to an existing OpenAI Realtime-compatible
speech backend. The UI server can also proxy WebSocket traffic, search,
reasoning, caller context, ApiPilot tools and load-balancer requests.

## Local startup

From the repository root:

```bash
S2S_PROXY_TARGET=ws://localhost:8765/v1/realtime ./start_ui.sh
```

The launcher loads the root `.env`, syncs `vocero-api/.venv` from the committed
`vocero-api/uv.lock`, and installs the locked
frontend dependencies when needed. Vite serves the React frontend on port
8420 and proxies the backend routes to Uvicorn on `127.0.0.1:8421`.
`UI_PORT` overrides the public port; `S2S_BACKEND_PORT` overrides the internal
port. Both servers reload source edits, and stopping the launcher stops both.
The speech pipeline remains a separate service. Because `.env` is sourced by
the script, values in that file can replace variables supplied on the command line.

Use Node.js 22.18+ on the 22.x line or Node.js 24+, npm, uv 0.12.5,
Bash 4.4+, `setsid`, and `curl`. Remote staging access also needs the exact
hostname in `S2S_DEV_ALLOWED_HOSTS`, HTTPS, and WebSocket forwarding for speech
and Vite HMR. See [frontend development setup](../../vocero-frontend/README.md).

To install and start the backend manually:

```bash
uv sync --project vocero-api --locked
S2S_PROXY_TARGET=ws://localhost:8765/v1/realtime \
  uv run --project vocero-api --locked uvicorn --app-dir vocero-api vocero_api.main:app \
  --host 127.0.0.1 --port 8421 --reload --reload-dir vocero-api
```

Then, in a second terminal, run `cd vocero-frontend`, `npm ci`, and `npm run dev`.

uv provisions Python 3.12 when needed. The Python environment belongs only to
`vocero-api`; an existing root `.venv` for speech dependencies is left alone.
See [development and compatibility](development.md) for checks and schema rules.

Open <http://localhost:8420/>, tap the orb/microphone control, grant microphone
access, and speak. Microphone access requires HTTPS or a local browser origin;
use HTTPS when accessing the UI from another machine.

The speech pipeline has separate model/runtime dependencies and no complete
dependency manifest in this checkout. In an already prepared speech
environment, a local realtime server can be started with:

```bash
python -m speech_to_speech.s2s_pipeline \
  --mode realtime \
  --stt parakeet-tdt \
  --llm_backend transformers \
  --tts kokoro \
  --model_name Qwen/Qwen3-4B-Instruct-2507 \
  --llm_device cuda \
  --llm_torch_dtype float16 \
  --enable_live_transcription
```

Select backends and devices supported by the host; the example model is not a
fixed deployment requirement. The default realtime endpoint is
`ws://localhost:8765/v1/realtime`, configured through `--ws_host` and `--ws_port`.
`--num_pipelines` controls the number of isolated concurrent realtime sessions.
See [LLM](../speech/llm.md), [STT](../speech/stt.md), and [TTS](../speech/tts.md).

## Connection modes

| Configuration | Browser connection | Settings URL | Load-balancer features |
|---|---|---|---|
| `SPEECH_TO_SPEECH_URL` set | Direct to pinned URL | Locked | Disabled |
| `S2S_PROXY_TARGET` set, no direct URL | Same-origin `/v1/realtime` proxy | Locked | Disabled |
| `LOAD_BALANCER_URL` set, neither above set | Per-session compute URL from `/api/session` | Hidden | Allocation, queue polling and cancellation |
| None set | User-provided realtime URL | Editable | Disabled |

Direct URLs may be full `ws(s)://.../v1/realtime` addresses or host values that
the browser normalizes. A direct URL must be reachable **from the browser**.
`S2S_PROXY_TARGET` must be reachable **from the UI server**. HTTPS deployments
need a secure browser WebSocket URL.

The launcher supplies `ws://ai-server:12345/v1/realtime` as a proxy-target
default when no value is configured. That hostname must resolve from the UI
server; it is not a universally available local service.

## Docker

This image serves FastAPI backend routes and shared documentation. Run the
React frontend separately with Vite and point `S2S_BACKEND_URL` at the exposed
backend address. The image does not run the development launcher or serve a UI.

Use the project root as the build context:

```bash
docker build -f vocero-api/Dockerfile -t vocero-api .
docker run --rm -p 7860:7860 \
  -e SPEECH_TO_SPEECH_URL=ws://localhost:8765/v1/realtime vocero-api
```

For the proxy path, replace the direct setting with a server-reachable
`S2S_PROXY_TARGET`. If the upstream is another container, attach the UI to the
appropriate existing network and use that service's hostname. An upstream
bound only to host loopback is not reachable via an arbitrary container name.

The image includes `vocero-api` and root `docs`. `/docs` is still the FastAPI API
explorer; documentation lives under `/docs/client/`, `/docs/speech/`,
`/docs/adr/`, `/docs/examples/`, and `/docs/proposals/`. Legacy `/project/` and
`/public/docs.html` redirect to the historical proposal. Markdown is served as a
source file rather than rendered through a separate documentation site. Request
file paths such as `/docs/README.md`; directories without `index.html` are not
browsable pages.

## Settings and tools

Voice, editable system instructions and connection settings are kept in browser
`localStorage` under `s2s.ws.*` keys. A non-empty `S2S_PRIMARY_PROMPT` pins the
instruction field. Restart applies connection/voice changes to a new session.
Model voice names are runtime identifiers and stay unchanged across UI
translations.

Web search needs `SERPER_API_KEY` on the server or a user-supplied key in the
tools panel. The server proxies requests through `/api/search`; its own key is
not returned to the browser. Dynamic ApiPilot tools are configured through
`S2S_APIPILOT_TOOLS_URL`; see [tool calling](tool-calling.md).

Operator RAG text is applied through the RAG dialog and updates live
instructions. Caller links may include `phoneNumber=%2B...`; episode links may
include `episode_id=...`. See [context injection](context-injection.md) for
enabled data sources and limits.

## Theme and session startup

`S2S_THEME=white` selects the light interface. `dark` or an empty value selects
the dark aurora theme. Theme-specific sections remain hidden until configuration
resolves, with a fallback to avoid an invisible page after config failure.

`S2S_START_SESSION_MODE` controls initial microphone/session startup:

| Value | Behavior |
|---|---|
| Empty/default | User taps to start |
| `TALK` | After a 2-second warmup, show an audio unlocker; a user gesture starts the session and greeting |
| `TALKFIRST` | After a 2-second warmup, attempt automatic start and inject the Spanish wake phrase; microphone failure falls back to the unlocker |

The warmup is a timer, not proof that all upstream context requests have
finished. Browser permission and audio policies can still require a gesture.
The greeting uses the same `hola vocero` input as wake-word handling.

## Queue and session lifecycle

Load-balancer mode proxies `POST /api/session`. A free compute slot returns a
grant containing `session_id`, `connect_url`, and `pending_timeout_s`. Otherwise
the browser receives a queue ticket and polls `GET /api/queue/{queue_id}` until
a slot is granted. The browser offers a timed join action after waiting.

`DELETE /api/queue/{queue_id}` cancels a waiting ticket. On session stop or page
exit, the browser uses `POST /api/queue/end` through `sendBeacon`, falling back
to a keepalive fetch. Expired tickets and missed join deadlines require a new
attempt. Full queues return `503` with `state: "at_capacity"`.

Once connected, session teardown closes the microphone, audio graph and
WebSocket. The 30-second inactivity timeout remains active when the assistant
is not speaking. Caller-profile lookup and upstream authorization operate
independently of allocation and use their existing configured endpoints.

For external transcript processing, configure the selected
[reasoning mode](reasoning.md). For connection, context and audio diagnostics,
use [troubleshooting](troubleshooting.md).