Every output is a target and every input besides prompt a reading. A
targets setting gives descriptions, values, ranges and per-target
guards, model takes a trained pack's artifact digest, min_confidence
defaults to the model's threshold. A command is applied whole or not at
all, and targets the model was not trained on read degraded. The home
path (area/kind ports, groups, brightness, temperature answers) is gone.
Claude-Session: https://claude.ai/code/session_01H89mFby73wwhthP9htfcuB
wren's model answers "turn off all lights" with one call, and at 0.98 a
living room light switched on. The node now applies such a command to every
wired target of the kind. Number words become digits ("in five minutes"
lost its delay), aliases put the house's words and known mishearings in the
model's, and sensors.temperature is answered from <area>_temperature or
outdoor. tts writes out units and clock times before speaking.
wren drops a call on an area the command does not name (other than the
user's or, with none named, the living room): "switch on the appliances"
turned on the bathroom light at 0.97. The assistant's `values` setting gives
a str target its only values, explains them in the tool and confirms in the
word set for each ("Canopy open.").
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Shown only the wired areas, the model took "turn on the bathroom light"
for the living room's light and "the office light" for the kitchen's,
both above 0.93: 5 of the 28 recorded 7B commands switched a wrong light.
Every area is shown now, with a light each, so such a call names an
unwired device and goes on to `unhandled`.
With every area shown, a transcript's "Turn on the kitchen light." fell
to 0.80. The command is passed lower case without sentence marks, as the
model was trained, which brings it to 0.99.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ljdk7nDaguh9Uhi3zhcSjn
run_turn takes its tools, system prompt and tool caller; the chat passes the
MCP tools as before. The assistant node offers one tool per wired target,
reads its other inputs as context, streams its reply a sentence at a time,
warms the provider on `listening` and says so when the provider is not there.
Completions share the per-server HTTP client. wren replies when nothing reads
`unhandled`, stt shows a note when nothing was heard. /ai/control lists one
conversation per entry node with the messages to watch.
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ljdk7nDaguh9Uhi3zhcSjn
- `stt`: one realtime transcription session per utterance on the speech
server's url, opened at `listening` true or the first chunk, committed at
false; a whole clip goes to /v1/audio/transcriptions. Returns at once and
publishes `partial` and `text` when the server answers.
- `tts`: one /v1/audio/speech call per sentence, cached by voice and text in
node state; a reference is marked `append` while earlier ones still play.
- wren: `reply` says what was applied, `unhandled` carries the prompt when
nothing was. The install hint names the git pin (PyPI's `wren` is another
package).
- ai/client: transcribe, speak and transcribe_stream beside stream_completion.
- A device socket publishes scalar `in` ports as {"type": "publish"} text,
in order with its binary frames.
- Pipeline.publish walks only what its values reach: a node downstream of a
consumer that published nothing no longer runs again (wren re-acted on
every microphone chunk).
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Ljdk7nDaguh9Uhi3zhcSjn
Melvin Strobl
stroblme