From 97dc376011a02c2c115eaa734f2bd24f62aae5af Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Sun, 15 Mar 2026 23:57:12 -0600
Subject: [PATCH 01/12] Packaged with uv

---
 pyproject.toml |   7 +-
 uv.lock        | 609 +++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 614 insertions(+), 2 deletions(-)
 create mode 100644 uv.lock

diff --git a/pyproject.toml b/pyproject.toml
index 312d2a3..4bb058d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [build-system]
-requires = ["setuptools>=68.0"]
-build-backend = "setuptools.build_meta"
+requires = ["hatchling"]
+build-backend = "hatchling.build"
 
 [project]
 name = "samantha-cli"
@@ -29,6 +29,9 @@ dependencies = [
 [project.scripts]
 samantha = "samantha.cli:main"
 
+[tool.hatch.build.targets.wheel]
+packages = ["samantha"]
+
 [project.urls]
 Homepage = "https://ethanplus.ai"
 Repository = "https://github.com/ethanplusai/samantha-cli"
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..895448e
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,609 @@
+version = 1
+revision = 2
+requires-python = ">=3.10"
+resolution-markers = [
+    "python_full_version >= '3.13'",
+    "python_full_version < '3.13'",
+]
+
+[[package]]
+name = "annotated-types"
+version = "0.7.0"
+source = { registry = "https://pypi.org/simple" }
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+name = "anyio"
+version = "4.12.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
+    { name = "idna" },
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
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+sdist = { url = "https://files.pythonhosted.org/packages/49/70/30b861a00aab91433dadcf827a0420319d71e319decdeb2f721d217c3db3/speechrecognition-3.15.1.tar.gz", hash = "sha256:cc5c8e040639a277c7586505c92b8d0d02b871daca57f3d175f8f678e82c3850", size = 32861196, upload-time = "2026-03-11T14:26:09.857Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/63/46/a7b177f6051dd6a572fe51774bac302c64ec0520199fd7532becc28bdba8/speechrecognition-3.15.1-py3-none-any.whl", hash = "sha256:b2b046170e1dda3e921ae3e993c77dace6d3610025ce91773cfd0debf1675c2d", size = 32853213, upload-time = "2026-03-11T14:26:04.196Z" },
+]
+
+[[package]]
+name = "standard-aifc"
+version = "3.13.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "audioop-lts", marker = "python_full_version >= '3.13'" },
+    { name = "standard-chunk", marker = "python_full_version >= '3.13'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c4/53/6050dc3dde1671eb3db592c13b55a8005e5040131f7509cef0215212cb84/standard_aifc-3.13.0.tar.gz", hash = "sha256:64e249c7cb4b3daf2fdba4e95721f811bde8bdfc43ad9f936589b7bb2fae2e43", size = 15240, upload-time = "2024-10-30T16:01:31.772Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/c3/52/5fbb203394cc852334d1575cc020f6bcec768d2265355984dfd361968f36/standard_aifc-3.13.0-py3-none-any.whl", hash = "sha256:f7ae09cc57de1224a0dd8e3eb8f73830be7c3d0bc485de4c1f82b4a7f645ac66", size = 10492, upload-time = "2024-10-30T16:01:07.071Z" },
+]
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+[[package]]
+name = "standard-chunk"
+version = "3.13.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/43/06/ce1bb165c1f111c7d23a1ad17204d67224baa69725bb6857a264db61beaf/standard_chunk-3.13.0.tar.gz", hash = "sha256:4ac345d37d7e686d2755e01836b8d98eda0d1a3ee90375e597ae43aaf064d654", size = 4672, upload-time = "2024-10-30T16:18:28.326Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/7a/90/a5c1084d87767d787a6caba615aa50dc587229646308d9420c960cb5e4c0/standard_chunk-3.13.0-py3-none-any.whl", hash = "sha256:17880a26c285189c644bd5bd8f8ed2bdb795d216e3293e6dbe55bbd848e2982c", size = 4944, upload-time = "2024-10-30T16:18:26.694Z" },
+]
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+[[package]]
+name = "typing-extensions"
+version = "4.15.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/72/94/1a15dd82efb362ac84269196e94cf00f187f7ed21c242792a923cdb1c61f/typing_extensions-4.15.0.tar.gz", hash = "sha256:0cea48d173cc12fa28ecabc3b837ea3cf6f38c6d1136f85cbaaf598984861466", size = 109391, upload-time = "2025-08-25T13:49:26.313Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/18/67/36e9267722cc04a6b9f15c7f3441c2363321a3ea07da7ae0c0707beb2a9c/typing_extensions-4.15.0-py3-none-any.whl", hash = "sha256:f0fa19c6845758ab08074a0cfa8b7aecb71c999ca73d62883bc25cc018c4e548", size = 44614, upload-time = "2025-08-25T13:49:24.86Z" },
+]
+
+[[package]]
+name = "typing-inspection"
+version = "0.4.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/55/e3/70399cb7dd41c10ac53367ae42139cf4b1ca5f36bb3dc6c9d33acdb43655/typing_inspection-0.4.2.tar.gz", hash = "sha256:ba561c48a67c5958007083d386c3295464928b01faa735ab8547c5692e87f464", size = 75949, upload-time = "2025-10-01T02:14:41.687Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/dc/9b/47798a6c91d8bdb567fe2698fe81e0c6b7cb7ef4d13da4114b41d239f65d/typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7", size = 14611, upload-time = "2025-10-01T02:14:40.154Z" },
+]
+
+[[package]]
+name = "wsproto"
+version = "1.3.2"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "h11" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/c7/79/12135bdf8b9c9367b8701c2c19a14c913c120b882d50b014ca0d38083c2c/wsproto-1.3.2.tar.gz", hash = "sha256:b86885dcf294e15204919950f666e06ffc6c7c114ca900b060d6e16293528294", size = 50116, upload-time = "2025-11-20T18:18:01.871Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a4/f5/10b68b7b1544245097b2a1b8238f66f2fc6dcaeb24ba5d917f52bd2eed4f/wsproto-1.3.2-py3-none-any.whl", hash = "sha256:61eea322cdf56e8cc904bd3ad7573359a242ba65688716b0710a5eb12beab584", size = 24405, upload-time = "2025-11-20T18:18:00.454Z" },
+]

From 5cf19be9d13f2a4c426c680aaf775d6fbfed7ce3 Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 00:08:00 -0600
Subject: [PATCH 02/12] Add dotenv support

---
 pyproject.toml     |  1 +
 samantha/config.py |  3 +++
 uv.lock            | 11 +++++++++++
 3 files changed, 15 insertions(+)

diff --git a/pyproject.toml b/pyproject.toml
index 4bb058d..e8b6550 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -24,6 +24,7 @@ dependencies = [
     "rich>=13.0",
     "click>=8.0",
     "pyyaml>=6.0",
+    "python-dotenv>=1.0",
 ]
 
 [project.scripts]
diff --git a/samantha/config.py b/samantha/config.py
index a2872fb..7574f30 100644
--- a/samantha/config.py
+++ b/samantha/config.py
@@ -10,6 +10,9 @@
 from typing import Any
 
 import yaml
+from dotenv import load_dotenv
+
+load_dotenv()
 
 CONFIG_DIR = Path.home() / ".samantha"
 CONFIG_FILE = CONFIG_DIR / "config.yaml"
diff --git a/uv.lock b/uv.lock
index 895448e..c0bb0d9 100644
--- a/uv.lock
+++ b/uv.lock
@@ -439,6 +439,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/c7/21/705964c7812476f378728bdf590ca4b771ec72385c533964653c68e86bdc/pygments-2.19.2-py3-none-any.whl", hash = "sha256:86540386c03d588bb81d44bc3928634ff26449851e99741617ecb9037ee5ec0b", size = 1225217, upload-time = "2025-06-21T13:39:07.939Z" },
 ]
 
+[[package]]
+name = "python-dotenv"
+version = "1.2.2"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/82/ed/0301aeeac3e5353ef3d94b6ec08bbcabd04a72018415dcb29e588514bba8/python_dotenv-1.2.2.tar.gz", hash = "sha256:2c371a91fbd7ba082c2c1dc1f8bf89ca22564a087c2c287cd9b662adde799cf3", size = 50135, upload-time = "2026-03-01T16:00:26.196Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/0b/d7/1959b9648791274998a9c3526f6d0ec8fd2233e4d4acce81bbae76b44b2a/python_dotenv-1.2.2-py3-none-any.whl", hash = "sha256:1d8214789a24de455a8b8bd8ae6fe3c6b69a5e3d64aa8a8e5d68e694bbcb285a", size = 22101, upload-time = "2026-03-01T16:00:25.09Z" },
+]
+
 [[package]]
 name = "pyyaml"
 version = "6.0.3"
@@ -524,6 +533,7 @@ dependencies = [
     { name = "click" },
     { name = "fish-audio-sdk" },
     { name = "pyaudio" },
+    { name = "python-dotenv" },
     { name = "pyyaml" },
     { name = "rich" },
     { name = "speechrecognition" },
@@ -534,6 +544,7 @@ requires-dist = [
     { name = "click", specifier = ">=8.0" },
     { name = "fish-audio-sdk", specifier = ">=0.1" },
     { name = "pyaudio", specifier = ">=0.2.14" },
+    { name = "python-dotenv", specifier = ">=1.0" },
     { name = "pyyaml", specifier = ">=6.0" },
     { name = "rich", specifier = ">=13.0" },
     { name = "speechrecognition", specifier = ">=3.10" },

From fadc40ba6a3968c8c2a9df5060fa7e4d9cfa5678 Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 00:44:19 -0600
Subject: [PATCH 03/12] [OBEY-CAMPAIGN-8a57dff6] Add configurable TTS/STT
 provider system with edge-tts default

---
 pyproject.toml           |    8 +-
 samantha/cli.py          |  163 ++++-
 samantha/config.py       |   44 +-
 samantha/stt/__init__.py |   23 +
 samantha/stt/base.py     |   21 +
 samantha/stt/google.py   |   64 ++
 samantha/stt/whisper.py  |   70 +++
 samantha/tts/__init__.py |   27 +
 samantha/tts/base.py     |   27 +
 samantha/tts/edge.py     |   55 ++
 samantha/tts/fish.py     |   57 ++
 samantha/voice.py        |  202 ++-----
 uv.lock                  | 1211 +++++++++++++++++++++++++++++++++++++-
 13 files changed, 1768 insertions(+), 204 deletions(-)
 create mode 100644 samantha/stt/__init__.py
 create mode 100644 samantha/stt/base.py
 create mode 100644 samantha/stt/google.py
 create mode 100644 samantha/stt/whisper.py
 create mode 100644 samantha/tts/__init__.py
 create mode 100644 samantha/tts/base.py
 create mode 100644 samantha/tts/edge.py
 create mode 100644 samantha/tts/fish.py

diff --git a/pyproject.toml b/pyproject.toml
index e8b6550..ac1df70 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,15 +18,21 @@ classifiers = [
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
 ]
 dependencies = [
+    "edge-tts>=6.1",
     "SpeechRecognition>=3.10",
     "PyAudio>=0.2.14",
-    "fish-audio-sdk>=0.1",
     "rich>=13.0",
     "click>=8.0",
     "pyyaml>=6.0",
     "python-dotenv>=1.0",
 ]
 
+[project.optional-dependencies]
+fish = ["fish-audio-sdk>=0.1"]
+whisper = ["faster-whisper>=1.0"]
+local = ["faster-whisper>=1.0"]
+all = ["fish-audio-sdk>=0.1", "faster-whisper>=1.0"]
+
 [project.scripts]
 samantha = "samantha.cli:main"
 
diff --git a/samantha/cli.py b/samantha/cli.py
index f95de1a..87f497e 100644
--- a/samantha/cli.py
+++ b/samantha/cli.py
@@ -1,6 +1,6 @@
 """CLI entry point for Samantha.
 
-Provides the main `samantha` command and the `samantha config` subcommand.
+Provides the main `samantha` command and subcommands.
 """
 
 from __future__ import annotations
@@ -43,11 +43,9 @@ def resume(session_id: str | None) -> None:
     brain = Brain(max_history=settings["max_history"])
 
     if session_id:
-        # Resume specific Claude session
         brain._resume_id = session_id
         console.print(f"  Resuming session {session_id}...", style="green")
     else:
-        # Continue most recent Claude session
         brain._continue_mode = True
         console.print("  Continuing last session...", style="green")
 
@@ -55,6 +53,122 @@ def resume(session_id: str | None) -> None:
     _run_assistant(text_mode=False, no_voice=False, brain=brain)
 
 
+@main.command("test")
+def test_audio() -> None:
+    """Test your microphone and speaker to verify they work."""
+    console = Console()
+    settings = cfg.load()
+    voice = VoiceEngine(settings)
+
+    console.print("\n  [bold magenta]Samantha Audio Test[/bold magenta]")
+    console.print(f"  [dim]TTS: {settings['tts_provider']} | STT: {settings['stt_provider']}[/dim]\n")
+
+    # --- Test 1: Speaker / TTS ---
+    console.print("  [bold]1. Testing speaker (TTS)...[/bold]")
+    if not voice.tts_available:
+        provider = settings["tts_provider"]
+        if provider == "fish":
+            console.print("  [red]FAIL:[/red] Fish Audio not available (missing API key or package).")
+            console.print("  [dim]Fix: samantha config fish_api_key YOUR_KEY[/dim]\n")
+        else:
+            console.print(f"  [red]FAIL:[/red] TTS provider '{provider}' not available.\n")
+    else:
+        try:
+            voice.speak("Hello! I'm Samantha. Your speaker is working.")
+            console.print("  [green]PASS:[/green] Speaker working.\n")
+        except Exception as e:
+            console.print(f"  [red]FAIL:[/red] {e}\n")
+
+    # --- Test 2: Microphone / STT ---
+    console.print("  [bold]2. Testing microphone (STT)...[/bold]")
+    if not voice.stt_available:
+        provider = settings["stt_provider"]
+        if provider == "whisper":
+            console.print("  [red]FAIL:[/red] faster-whisper not installed.")
+            console.print("  [dim]Fix: uv pip install samantha-cli[whisper][/dim]\n")
+        else:
+            console.print("  [red]FAIL:[/red] SpeechRecognition or PyAudio not installed.\n")
+    else:
+        console.print("  [dim]Speak something now (you have 5 seconds)...[/dim]")
+        try:
+            text = voice.stt.transcribe(timeout=5, phrase_time_limit=5)
+            if text:
+                console.print(f'  [green]PASS:[/green] Heard: "{text}"\n')
+            else:
+                console.print("  [yellow]WARN:[/yellow] Heard audio but couldn't understand it.\n")
+        except RuntimeError as e:
+            console.print(f"  [red]FAIL:[/red] {e}\n")
+
+    console.print("  [bold magenta]Test complete.[/bold magenta]\n")
+
+
+@main.command("voices")
+@click.option("--provider", "-p", default=None, help="TTS provider to list voices for.")
+@click.option("--gender", "-g", default="", help="Filter by gender (male/female).")
+@click.option("--locale", "-l", default="", help="Filter by locale (e.g. en-US).")
+def voices(provider: str | None, gender: str, locale: str) -> None:
+    """List available TTS voices for the current provider."""
+    console = Console()
+    settings = cfg.load()
+
+    if provider:
+        settings["tts_provider"] = provider
+    voice = VoiceEngine(settings)
+
+    active_provider = settings["tts_provider"]
+    console.print(f"\n  [bold magenta]Voices for: {active_provider}[/bold magenta]\n")
+
+    voice_list = voice.tts.list_voices(locale=locale, gender=gender)
+    if not voice_list:
+        console.print("  [dim]No voices found (provider may not support listing).[/dim]\n")
+        return
+
+    for v in voice_list:
+        console.print(
+            f"  [cyan]{v['name']}[/cyan]  "
+            f"{v.get('friendly_name', '')}  "
+            f"[dim]{v.get('gender', '')} / {v.get('locale', '')}[/dim]"
+        )
+    console.print(f"\n  [dim]{len(voice_list)} voices found.[/dim]\n")
+
+
+@main.command("providers")
+def providers() -> None:
+    """Show available TTS and STT providers."""
+    console = Console()
+    settings = cfg.load()
+
+    console.print("\n  [bold magenta]Providers[/bold magenta]\n")
+
+    # TTS
+    console.print("  [bold]TTS (text-to-speech):[/bold]")
+    tts_active = settings["tts_provider"]
+    tts_options = [
+        ("edge", "edge-tts", "Free, no API key", True),
+        ("fish", "fish-audio-sdk", "Paid, custom voice clones", _check_import("fishaudio")),
+    ]
+    for name, pkg, desc, installed in tts_options:
+        marker = "[green]active[/green]" if name == tts_active else ("[dim]ready[/dim]" if installed else "[yellow]not installed[/yellow]")
+        install_hint = "" if installed else f"  [dim](uv pip install samantha-cli[{name}])[/dim]"
+        console.print(f"    [{marker}] [cyan]{name}[/cyan] — {desc}{install_hint}")
+
+    console.print()
+
+    # STT
+    console.print("  [bold]STT (speech-to-text):[/bold]")
+    stt_active = settings["stt_provider"]
+    stt_options = [
+        ("google", "SpeechRecognition", "Free, requires internet", True),
+        ("whisper", "faster-whisper", "Local, no internet needed", _check_import("faster_whisper")),
+    ]
+    for name, pkg, desc, installed in stt_options:
+        marker = "[green]active[/green]" if name == stt_active else ("[dim]ready[/dim]" if installed else "[yellow]not installed[/yellow]")
+        install_hint = "" if installed else f"  [dim](uv pip install samantha-cli[{name}])[/dim]"
+        console.print(f"    [{marker}] [cyan]{name}[/cyan] — {desc}{install_hint}")
+
+    console.print()
+
+
 @main.command("config")
 @click.argument("key", required=False)
 @click.argument("value", required=False)
@@ -64,13 +178,12 @@ def config(key: str | None, value: str | None) -> None:
     \b
     Examples:
         samantha config                  # Show all config
-        samantha config fish_api_key     # Show one value
-        samantha config fish_api_key sk-xxx  # Set a value
+        samantha config tts_provider     # Show one value
+        samantha config tts_voice en-US-JennyNeural  # Set a value
     """
     console = Console()
 
     if key is None:
-        # Show all config
         current = cfg.load()
         console.print("\n  [bold magenta]Samantha Configuration[/bold magenta]")
         console.print(f"  [dim]Config file: {cfg.CONFIG_FILE}[/dim]\n")
@@ -81,7 +194,6 @@ def config(key: str | None, value: str | None) -> None:
         return
 
     if value is None:
-        # Show one value
         current = cfg.load()
         if key in current:
             display_value = _mask_secret(key, current[key])
@@ -91,7 +203,6 @@ def config(key: str | None, value: str | None) -> None:
             console.print(f"  [dim]Available: {', '.join(cfg.DEFAULTS.keys())}[/dim]")
         return
 
-    # Set value -- try to cast to the right type
     if key not in cfg.DEFAULTS:
         console.print(f"  [red]Unknown key:[/red] {key}")
         console.print(f"  [dim]Available: {', '.join(cfg.DEFAULTS.keys())}[/dim]")
@@ -114,6 +225,15 @@ def _mask_secret(key: str, value) -> str:
     return str(value)
 
 
+def _check_import(module: str) -> bool:
+    """Check if a Python module is importable."""
+    try:
+        __import__(module)
+        return True
+    except ImportError:
+        return False
+
+
 def _run_assistant(text_mode: bool = False, no_voice: bool = False, brain: Brain | None = None) -> None:
     """Main conversation loop."""
     ui = UI()
@@ -130,35 +250,29 @@ def _run_assistant(text_mode: bool = False, no_voice: bool = False, brain: Brain
         sys.exit(1)
 
     # --- Initialize voice engine ---
-    voice = VoiceEngine(
-        fish_api_key=settings["fish_api_key"] if not no_voice else "",
-        voice_model_id=settings["voice_model_id"],
-        speech_speed=settings["speech_speed"],
-        language=settings["language"],
-        listen_timeout=settings["listen_timeout"],
-        phrase_time_limit=settings["phrase_time_limit"],
-    )
+    if no_voice:
+        settings["tts_provider"] = "_disabled"
+    voice = VoiceEngine(settings)
 
     # Warn about missing config
     if not text_mode and not voice.stt_available:
         ui.show_error(
-            "SpeechRecognition or PyAudio not installed. "
-            "Falling back to text mode.\n"
-            "         Install: pip install SpeechRecognition PyAudio"
+            "STT provider not available. Falling back to text mode.\n"
+            "         Check: samantha providers"
         )
         text_mode = True
 
     if not no_voice and not voice.tts_available:
         ui.show_info(
-            "No Fish Audio API key configured. Running without voice output.\n"
-            "         Set it: samantha config fish_api_key YOUR_KEY"
+            "TTS provider not available. Running without voice output.\n"
+            "         Check: samantha providers"
         )
 
     # Wire up activity callback so we can see what Claude is doing
     brain._activity_callback = lambda msg: ui.show_info(f"  {msg}")
 
-    # Show models in use
-    ui.show_info("Brain: Opus (thinking) → Haiku (voice summary) → Fish Audio (TTS)")
+    # Show active providers
+    ui.show_info(f"TTS: {settings['tts_provider']} | STT: {settings['stt_provider']}")
 
     # --- Start ---
     ui.show_welcome()
@@ -211,7 +325,7 @@ def _conversation_loop(
         # --- Natural language commands ---
         cmd = user_input.strip().lower()
 
-        # Exit - only exact short commands or full phrases (not partial word matches)
+        # Exit
         if cmd in ("exit", "quit", "bye", "goodbye", "stop", "/exit", "/q"):
             break
         exit_phrases = [
@@ -250,7 +364,6 @@ def _conversation_loop(
         # Show full Opus response if it was summarized
         full = getattr(brain, '_full_response', response)
         if full != response and len(full) > len(response):
-            # Show the full Claude output in dim, then the spoken version
             from rich.text import Text
             from rich.panel import Panel
             ui.console.print(Panel(
diff --git a/samantha/config.py b/samantha/config.py
index 7574f30..b12b43b 100644
--- a/samantha/config.py
+++ b/samantha/config.py
@@ -18,26 +18,51 @@
 CONFIG_FILE = CONFIG_DIR / "config.yaml"
 
 DEFAULTS: dict[str, Any] = {
-    "fish_api_key": "",
-    "voice_model_id": "474887f7949b4d1ab3e626cddf82613a",
+    # TTS settings
+    "tts_provider": "edge",
+    "tts_voice": "en-US-AriaNeural",
     "speech_speed": 0.95,
+
+    # STT settings
+    "stt_provider": "google",
+    "whisper_model": "base",
+
+    # Fish Audio (only when tts_provider == "fish")
+    "fish_api_key": "",
+    "fish_voice_model_id": "474887f7949b4d1ab3e626cddf82613a",
+
+    # General
     "language": "en-US",
     "max_history": 10,
     "listen_timeout": 10,
     "phrase_time_limit": 30,
 }
 
+# Environment variable name -> config key
+_ENV_OVERRIDES = {
+    "TTS_PROVIDER": "tts_provider",
+    "TTS_VOICE": "tts_voice",
+    "STT_PROVIDER": "stt_provider",
+    "WHISPER_MODEL": "whisper_model",
+    "FISH_API_KEY": "fish_api_key",
+}
+
 
 def _ensure_config_dir() -> None:
     """Create the config directory if it doesn't exist."""
     CONFIG_DIR.mkdir(parents=True, exist_ok=True)
 
 
+def _migrate(config: dict[str, Any]) -> None:
+    """Migrate old config keys to new names."""
+    if "voice_model_id" in config and "fish_voice_model_id" not in config:
+        config["fish_voice_model_id"] = config.pop("voice_model_id")
+
+
 def load() -> dict[str, Any]:
     """Load configuration from disk, falling back to defaults.
 
-    Environment variables override file values:
-        FISH_API_KEY -> fish_api_key
+    Environment variables override file values.
     """
     config = dict(DEFAULTS)
 
@@ -45,14 +70,15 @@ def load() -> dict[str, Any]:
         try:
             with open(CONFIG_FILE) as f:
                 stored = yaml.safe_load(f) or {}
+            _migrate(stored)
             config.update(stored)
         except (yaml.YAMLError, OSError):
-            pass  # Fall back to defaults silently
+            pass
 
-    # Environment variable overrides
-    env_key = os.environ.get("FISH_API_KEY")
-    if env_key:
-        config["fish_api_key"] = env_key
+    for env_name, config_key in _ENV_OVERRIDES.items():
+        val = os.environ.get(env_name)
+        if val:
+            config[config_key] = val
 
     return config
 
diff --git a/samantha/stt/__init__.py b/samantha/stt/__init__.py
new file mode 100644
index 0000000..6cac66b
--- /dev/null
+++ b/samantha/stt/__init__.py
@@ -0,0 +1,23 @@
+"""STT provider factory."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from samantha.stt.base import STTProvider
+
+
+def get_stt_provider(config: dict[str, Any]) -> STTProvider:
+    """Create an STT provider from config settings."""
+    provider = config.get("stt_provider", "google")
+    language = config.get("language", "en-US")
+
+    if provider == "whisper":
+        from samantha.stt.whisper import WhisperSTTProvider
+        return WhisperSTTProvider(
+            model_size=config.get("whisper_model", "base"),
+            language=language,
+        )
+
+    from samantha.stt.google import GoogleSTTProvider
+    return GoogleSTTProvider(language=language)
diff --git a/samantha/stt/base.py b/samantha/stt/base.py
new file mode 100644
index 0000000..3d6fbbe
--- /dev/null
+++ b/samantha/stt/base.py
@@ -0,0 +1,21 @@
+"""Base protocol for STT providers."""
+
+from __future__ import annotations
+
+from typing import Protocol
+
+
+class STTProvider(Protocol):
+    """Interface that all STT backends must implement."""
+
+    def transcribe(self, timeout: int, phrase_time_limit: int) -> str | None:
+        """Listen on the microphone and return transcribed text.
+
+        Returns None if no speech was detected or understood.
+        Raises RuntimeError if the microphone is not accessible.
+        """
+        ...
+
+    def available(self) -> bool:
+        """Return True if this provider is ready to use."""
+        ...
diff --git a/samantha/stt/google.py b/samantha/stt/google.py
new file mode 100644
index 0000000..56cc346
--- /dev/null
+++ b/samantha/stt/google.py
@@ -0,0 +1,64 @@
+"""Google STT provider — free, uses SpeechRecognition library."""
+
+from __future__ import annotations
+
+
+class GoogleSTTProvider:
+    """STT using Google's free speech recognition service."""
+
+    def __init__(self, language: str = "en-US") -> None:
+        self.language = language
+        self._recognizer = None
+
+    def _init_recognizer(self):
+        if self._recognizer is not None:
+            return self._recognizer
+
+        import speech_recognition as sr
+
+        self._recognizer = sr.Recognizer()
+        self._recognizer.pause_threshold = 3.0
+        self._recognizer.phrase_threshold = 0.2
+        self._recognizer.non_speaking_duration = 2.0
+        self._recognizer.dynamic_energy_threshold = True
+        self._recognizer.energy_threshold = 300
+        return self._recognizer
+
+    def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | None:
+        import speech_recognition as sr
+
+        recognizer = self._init_recognizer()
+
+        try:
+            with sr.Microphone() as source:
+                recognizer.adjust_for_ambient_noise(source, duration=0.5)
+                audio = recognizer.listen(
+                    source,
+                    timeout=timeout,
+                    phrase_time_limit=phrase_time_limit,
+                )
+        except sr.WaitTimeoutError:
+            return None
+        except OSError as e:
+            raise RuntimeError(
+                f"Could not access the microphone: {e}. "
+                "Check your audio input settings and permissions."
+            ) from e
+
+        try:
+            text = recognizer.recognize_google(audio, language=self.language)
+            return text.strip() if text else None
+        except sr.UnknownValueError:
+            return None
+        except sr.RequestError as e:
+            raise RuntimeError(
+                f"Speech recognition service error: {e}. "
+                "Check your internet connection."
+            ) from e
+
+    def available(self) -> bool:
+        try:
+            import speech_recognition as sr  # noqa: F401
+            return True
+        except ImportError:
+            return False
diff --git a/samantha/stt/whisper.py b/samantha/stt/whisper.py
new file mode 100644
index 0000000..f063e68
--- /dev/null
+++ b/samantha/stt/whisper.py
@@ -0,0 +1,70 @@
+"""Whisper STT provider — fully local, no internet needed after model download."""
+
+from __future__ import annotations
+
+import tempfile
+from pathlib import Path
+
+
+class WhisperSTTProvider:
+    """STT using faster-whisper for local speech recognition."""
+
+    def __init__(self, model_size: str = "base", language: str = "en") -> None:
+        self.model_size = model_size
+        self.language = language.split("-")[0]  # "en-US" -> "en"
+        self._model = None
+
+    def _init_model(self):
+        if self._model is not None:
+            return self._model
+
+        from faster_whisper import WhisperModel
+
+        self._model = WhisperModel(self.model_size, compute_type="auto")
+        return self._model
+
+    def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | None:
+        import speech_recognition as sr
+
+        # Use SpeechRecognition for mic capture only
+        recognizer = sr.Recognizer()
+        recognizer.pause_threshold = 3.0
+        recognizer.phrase_threshold = 0.2
+        recognizer.non_speaking_duration = 2.0
+        recognizer.dynamic_energy_threshold = True
+        recognizer.energy_threshold = 300
+
+        try:
+            with sr.Microphone() as source:
+                recognizer.adjust_for_ambient_noise(source, duration=0.5)
+                audio = recognizer.listen(
+                    source,
+                    timeout=timeout,
+                    phrase_time_limit=phrase_time_limit,
+                )
+        except sr.WaitTimeoutError:
+            return None
+        except OSError as e:
+            raise RuntimeError(
+                f"Could not access the microphone: {e}. "
+                "Check your audio input settings and permissions."
+            ) from e
+
+        # Save captured audio to temp WAV and transcribe locally
+        wav_data = audio.get_wav_data()
+        tmp = Path(tempfile.mktemp(suffix=".wav", prefix="samantha_stt_"))
+        try:
+            tmp.write_bytes(wav_data)
+            model = self._init_model()
+            segments, _ = model.transcribe(str(tmp), language=self.language)
+            text = " ".join(seg.text.strip() for seg in segments).strip()
+            return text if text else None
+        finally:
+            tmp.unlink(missing_ok=True)
+
+    def available(self) -> bool:
+        try:
+            import faster_whisper  # noqa: F401
+            return True
+        except ImportError:
+            return False
diff --git a/samantha/tts/__init__.py b/samantha/tts/__init__.py
new file mode 100644
index 0000000..77044bd
--- /dev/null
+++ b/samantha/tts/__init__.py
@@ -0,0 +1,27 @@
+"""TTS provider factory."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from samantha.tts.base import TTSProvider
+
+
+def get_tts_provider(config: dict[str, Any]) -> TTSProvider:
+    """Create a TTS provider from config settings."""
+    provider = config.get("tts_provider", "edge")
+    speed = config.get("speech_speed", 1.0)
+
+    if provider == "fish":
+        from samantha.tts.fish import FishAudioProvider
+        return FishAudioProvider(
+            api_key=config.get("fish_api_key", ""),
+            voice_model_id=config.get("fish_voice_model_id", ""),
+            speed=speed,
+        )
+
+    from samantha.tts.edge import EdgeTTSProvider
+    return EdgeTTSProvider(
+        voice=config.get("tts_voice", "en-US-AriaNeural"),
+        speed=speed,
+    )
diff --git a/samantha/tts/base.py b/samantha/tts/base.py
new file mode 100644
index 0000000..15e9500
--- /dev/null
+++ b/samantha/tts/base.py
@@ -0,0 +1,27 @@
+"""Base protocol for TTS providers."""
+
+from __future__ import annotations
+
+from typing import Protocol
+
+
+class TTSProvider(Protocol):
+    """Interface that all TTS backends must implement."""
+
+    def generate(self, text: str, output_path: str) -> str:
+        """Generate speech audio from text and save to output_path.
+
+        Returns the path to the generated audio file.
+        """
+        ...
+
+    def available(self) -> bool:
+        """Return True if this provider is ready to use."""
+        ...
+
+    def list_voices(self) -> list[dict]:
+        """Return available voices as a list of dicts.
+
+        Each dict should have at minimum: name, friendly_name, gender, locale.
+        """
+        ...
diff --git a/samantha/tts/edge.py b/samantha/tts/edge.py
new file mode 100644
index 0000000..7d700a4
--- /dev/null
+++ b/samantha/tts/edge.py
@@ -0,0 +1,55 @@
+"""Edge TTS provider — free, no API key required."""
+
+from __future__ import annotations
+
+import asyncio
+
+
+class EdgeTTSProvider:
+    """TTS using Microsoft Edge's online speech service via edge-tts."""
+
+    def __init__(self, voice: str = "en-US-AriaNeural", speed: float = 1.0) -> None:
+        self.voice = voice
+        self.speed = speed
+
+    def _rate_str(self) -> str:
+        pct = int((self.speed - 1.0) * 100)
+        return f"{pct:+d}%"
+
+    def generate(self, text: str, output_path: str) -> str:
+        import edge_tts
+
+        async def _generate():
+            communicate = edge_tts.Communicate(text, self.voice, rate=self._rate_str())
+            await communicate.save(output_path)
+
+        asyncio.run(_generate())
+        return output_path
+
+    def available(self) -> bool:
+        try:
+            import edge_tts  # noqa: F401
+            return True
+        except ImportError:
+            return False
+
+    def list_voices(self, locale: str = "", gender: str = "") -> list[dict]:
+        import edge_tts
+
+        async def _list():
+            return await edge_tts.list_voices()
+
+        voices = asyncio.run(_list())
+        results = []
+        for v in voices:
+            if locale and not v["Locale"].startswith(locale):
+                continue
+            if gender and v["Gender"].lower() != gender.lower():
+                continue
+            results.append({
+                "name": v["ShortName"],
+                "friendly_name": v["FriendlyName"],
+                "gender": v["Gender"],
+                "locale": v["Locale"],
+            })
+        return results
diff --git a/samantha/tts/fish.py b/samantha/tts/fish.py
new file mode 100644
index 0000000..1bdd8cd
--- /dev/null
+++ b/samantha/tts/fish.py
@@ -0,0 +1,57 @@
+"""Fish Audio TTS provider — paid, supports custom voice clones."""
+
+from __future__ import annotations
+
+
+class FishAudioProvider:
+    """TTS using Fish Audio's API."""
+
+    def __init__(self, api_key: str = "", voice_model_id: str = "", speed: float = 1.0) -> None:
+        self.api_key = api_key
+        self.voice_model_id = voice_model_id
+        self.speed = speed
+        self._client = None
+        self._config = None
+
+    def _init_client(self) -> None:
+        if self._client is not None:
+            return
+
+        from fishaudio import FishAudio
+        from fishaudio.types import TTSConfig, Prosody
+
+        self._client = FishAudio(api_key=self.api_key)
+        self._config = TTSConfig(
+            reference_id=self.voice_model_id,
+            prosody=Prosody(speed=self.speed),
+            format="mp3",
+        )
+
+    def generate(self, text: str, output_path: str) -> str:
+        self._init_client()
+
+        audio = self._client.tts.convert(text=text, config=self._config)
+
+        if isinstance(audio, bytes):
+            data = audio
+        else:
+            data = b"".join(
+                chunk if isinstance(chunk, bytes) else bytes([chunk])
+                for chunk in audio
+            )
+
+        with open(output_path, "wb") as f:
+            f.write(data)
+        return output_path
+
+    def available(self) -> bool:
+        if not self.api_key:
+            return False
+        try:
+            import fishaudio  # noqa: F401
+            return True
+        except ImportError:
+            return False
+
+    def list_voices(self, locale: str = "", gender: str = "") -> list[dict]:
+        return []
diff --git a/samantha/voice.py b/samantha/voice.py
index 1421571..101346c 100644
--- a/samantha/voice.py
+++ b/samantha/voice.py
@@ -1,181 +1,49 @@
-"""Voice engine -- speech recognition and text-to-speech.
-
-Handles microphone input via SpeechRecognition (Google free STT)
-and audio output via Fish Audio TTS with the Samantha voice model.
-"""
+"""Voice engine -- delegates to configurable TTS and STT providers."""
 
 from __future__ import annotations
 
-import io
-import os
+import subprocess
+import platform
 import tempfile
 from pathlib import Path
+from typing import Any
 
-
-from samantha import config as cfg
+from samantha.tts import get_tts_provider
+from samantha.stt import get_stt_provider
 
 
 class VoiceEngine:
-    """Manages speech-to-text and text-to-speech.
-
-    Args:
-        fish_api_key: Fish Audio API key for TTS.
-        voice_model_id: Fish Audio voice model reference ID.
-        speech_speed: TTS playback speed (0.5 - 2.0).
-        language: Language code for speech recognition.
-    """
-
-    def __init__(
-        self,
-        fish_api_key: str = "",
-        voice_model_id: str = "",
-        speech_speed: float = 0.95,
-        language: str = "en-US",
-        listen_timeout: int = 10,
-        phrase_time_limit: int = 60,
-    ) -> None:
-        self.fish_api_key = fish_api_key
-        self.voice_model_id = voice_model_id or cfg.DEFAULTS["voice_model_id"]
-        self.speech_speed = speech_speed
-        self.language = language
-        self.listen_timeout = listen_timeout
-        self.phrase_time_limit = phrase_time_limit
-
-        self._fish_client = None
-        self._tts_config = None
-        self._recognizer = None
+    """Manages speech-to-text and text-to-speech via pluggable providers."""
+
+    def __init__(self, config: dict[str, Any]) -> None:
+        self.config = config
+        self.tts = get_tts_provider(config)
+        self.stt = get_stt_provider(config)
         self._temp_dir = Path(tempfile.mkdtemp(prefix="samantha_"))
 
     @property
     def tts_available(self) -> bool:
-        """Check whether TTS is configured."""
-        return bool(self.fish_api_key)
+        return self.tts.available()
 
     @property
     def stt_available(self) -> bool:
-        """Check whether speech recognition is available."""
-        try:
-            import speech_recognition as sr  # noqa: F401
-            return True
-        except ImportError:
-            return False
-
-    def _init_fish(self) -> None:
-        """Lazily initialize the Fish Audio client."""
-        if self._fish_client is not None:
-            return
-
-        from fishaudio import FishAudio
-        from fishaudio.types import TTSConfig, Prosody
-
-        self._fish_client = FishAudio(api_key=self.fish_api_key)
-        self._tts_config = TTSConfig(
-            reference_id=self.voice_model_id,
-            prosody=Prosody(speed=self.speech_speed),
-            format="mp3",
-        )
-
-    def _play_audio_file(self, path: str) -> None:
-        """Play an audio file using the best available system player."""
-        import subprocess
-        import platform
-
-        if platform.system() == "Darwin":
-            # macOS: afplay is built-in, no dependencies needed
-            subprocess.run(["afplay", path], check=True, capture_output=True)
-        else:
-            # Linux/other: try ffplay, mpv, then aplay
-            for player in [["ffplay", "-nodisp", "-autoexit", "-loglevel", "quiet", path],
-                          ["mpv", "--no-video", "--really-quiet", path],
-                          ["aplay", path]]:
-                try:
-                    subprocess.run(player, check=True, capture_output=True)
-                    return
-                except (FileNotFoundError, subprocess.CalledProcessError):
-                    continue
-            raise RuntimeError("No audio player found. Install ffmpeg or mpv.")
-
-    def _init_recognizer(self):
-        """Lazily initialize the speech recognizer."""
-        if self._recognizer is not None:
-            return self._recognizer
-
-        import speech_recognition as sr
-
-        self._recognizer = sr.Recognizer()
-        # Be very patient - wait for long pauses before considering speech "done"
-        self._recognizer.pause_threshold = 3.0  # 3 seconds of silence before stopping (default 0.8)
-        self._recognizer.phrase_threshold = 0.2  # minimum seconds of speech to consider
-        self._recognizer.non_speaking_duration = 2.0  # seconds of non-speaking before phrase complete
-        self._recognizer.dynamic_energy_threshold = True
-        self._recognizer.energy_threshold = 300  # lower = more sensitive to speech
-        return self._recognizer
+        return self.stt.available()
 
     def listen(self) -> str | None:
-        """Listen for speech via the microphone and return transcribed text.
-
-        Returns:
-            Transcribed text, or None if nothing was understood.
-
-        Raises:
-            RuntimeError: If the microphone is not accessible.
-        """
-        import speech_recognition as sr
-
-        recognizer = self._init_recognizer()
-
-        try:
-            with sr.Microphone() as source:
-                recognizer.adjust_for_ambient_noise(source, duration=0.5)
-                audio = recognizer.listen(
-                    source,
-                    timeout=self.listen_timeout,
-                    phrase_time_limit=self.phrase_time_limit,
-                )
-        except sr.WaitTimeoutError:
-            return None
-        except OSError as e:
-            raise RuntimeError(
-                f"Could not access the microphone: {e}. "
-                "Check your audio input settings and permissions."
-            ) from e
-
-        try:
-            text = recognizer.recognize_google(audio, language=self.language)
-            return text.strip() if text else None
-        except sr.UnknownValueError:
-            return None
-        except sr.RequestError as e:
-            raise RuntimeError(
-                f"Speech recognition service error: {e}. "
-                "Check your internet connection."
-            ) from e
+        """Listen on the microphone and return transcribed text."""
+        return self.stt.transcribe(
+            timeout=self.config.get("listen_timeout", 10),
+            phrase_time_limit=self.config.get("phrase_time_limit", 30),
+        )
 
     def generate_audio(self, text: str) -> str | None:
         """Generate TTS audio and save to temp file. Returns file path."""
         if not self.tts_available:
             return None
 
-        self._init_fish()
-
+        output_path = str(self._temp_dir / "response.mp3")
         try:
-            audio = self._fish_client.tts.convert(
-                text=text,
-                config=self._tts_config,
-            )
-
-            audio_path = self._temp_dir / "response.mp3"
-
-            if isinstance(audio, bytes):
-                audio_path.write_bytes(audio)
-            else:
-                collected = b"".join(
-                    chunk if isinstance(chunk, bytes) else bytes([chunk])
-                    for chunk in audio
-                )
-                audio_path.write_bytes(collected)
-
-            return str(audio_path)
+            return self.tts.generate(text, output_path)
         except Exception as e:
             raise TTSError(f"Text-to-speech failed: {e}") from e
 
@@ -183,27 +51,31 @@ def play_audio(self, path: str) -> None:
         """Play an audio file."""
         self._play_audio_file(path)
 
-    def get_audio_duration(self, path: str) -> float:
-        """Estimate audio duration from file size (MP3 ~128kbps)."""
-        import os
-        size = os.path.getsize(path)
-        return size / 16000  # rough estimate for MP3
-
     def speak(self, text: str) -> None:
         """Generate and play TTS. For simple usage."""
         path = self.generate_audio(text)
         if path:
             self._play_audio_file(path)
 
-    def stop_speaking(self) -> None:
-        """Stop any currently playing audio."""
-        pass  # Audio cleanup handled by system player subprocess
+    def _play_audio_file(self, path: str) -> None:
+        """Play an audio file using the best available system player."""
+        if platform.system() == "Darwin":
+            subprocess.run(["afplay", path], check=True, capture_output=True)
+        else:
+            for player in [
+                ["ffplay", "-nodisp", "-autoexit", "-loglevel", "quiet", path],
+                ["mpv", "--no-video", "--really-quiet", path],
+                ["aplay", path],
+            ]:
+                try:
+                    subprocess.run(player, check=True, capture_output=True)
+                    return
+                except (FileNotFoundError, subprocess.CalledProcessError):
+                    continue
+            raise RuntimeError("No audio player found. Install ffmpeg or mpv.")
 
     def cleanup(self) -> None:
         """Release audio resources."""
-
-    
-        # Clean up temp files
         for f in self._temp_dir.glob("*"):
             try:
                 f.unlink()
diff --git a/uv.lock b/uv.lock
index c0bb0d9..30d28e6 100644
--- a/uv.lock
+++ b/uv.lock
@@ -3,7 +3,159 @@ revision = 2
 requires-python = ">=3.10"
 resolution-markers = [
     "python_full_version >= '3.13'",
-    "python_full_version < '3.13'",
+    "python_full_version >= '3.11' and python_full_version < '3.13'",
+    "python_full_version < '3.11'",
+]
+
+[[package]]
+name = "aiohappyeyeballs"
+version = "2.6.1"
+source = { registry = "https://pypi.org/simple" }
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+wheels = [
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From b1f41a307176c5496d3af60f27b3b4871ff710cb Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 00:58:47 -0600
Subject: [PATCH 04/12] [OBEY-CAMPAIGN-8a57dff6] Add modular justfile system
 for samantha-cli

---
 .justfiles/dev.just     | 20 +++++++++++
 .justfiles/install.just | 58 +++++++++++++++++++++++++++++++
 .justfiles/voice.just   | 77 +++++++++++++++++++++++++++++++++++++++++
 justfile                | 54 +++++++++++++++++++++++++++++
 4 files changed, 209 insertions(+)
 create mode 100644 .justfiles/dev.just
 create mode 100644 .justfiles/install.just
 create mode 100644 .justfiles/voice.just
 create mode 100644 justfile

diff --git a/.justfiles/dev.just b/.justfiles/dev.just
new file mode 100644
index 0000000..b61e0af
--- /dev/null
+++ b/.justfiles/dev.just
@@ -0,0 +1,20 @@
+# Development recipes
+
+[private]
+default:
+    @just --list --unsorted --justfile {{source_file()}}
+
+# Run samantha with arbitrary args
+[no-cd]
+run *ARGS:
+    uv run samantha {{ARGS}}
+
+# Start Python REPL with project imports
+[no-cd]
+repl:
+    uv run python -c "from samantha import config, voice; import code; code.interact(local=locals())"
+
+# Run with verbose output for debugging
+[no-cd]
+debug *ARGS:
+    uv run python -m samantha.cli {{ARGS}}
diff --git a/.justfiles/install.just b/.justfiles/install.just
new file mode 100644
index 0000000..587a793
--- /dev/null
+++ b/.justfiles/install.just
@@ -0,0 +1,58 @@
+# Installation recipes
+
+package_name := "samantha-cli"
+
+[private]
+default:
+    @just --list --unsorted --justfile {{source_file()}}
+
+# Install for development (editable)
+[no-cd]
+dev:
+    uv sync
+
+# Install with all optional providers
+[no-cd]
+all:
+    uv sync --all-extras
+
+# Install whisper extra (local STT)
+[no-cd]
+whisper:
+    uv pip install -e ".[whisper]"
+
+# Install fish extra (Fish Audio TTS)
+[no-cd]
+fish:
+    uv pip install -e ".[fish]"
+
+# Install as global tool via uv
+[no-cd]
+global:
+    uv tool install -e .
+    @echo "samantha installed globally"
+
+# Uninstall global tool
+[no-cd]
+global-uninstall:
+    uv tool uninstall {{package_name}}
+
+# Build distribution packages
+[no-cd]
+build:
+    uv build
+    @echo "Built packages in dist/"
+    @ls -la dist/
+
+# Check system prerequisites
+[no-cd]
+check:
+    #!/usr/bin/env bash
+    echo "Checking prerequisites..."
+    echo ""
+    which claude > /dev/null 2>&1 && echo "claude CLI: OK" || echo "claude CLI: MISSING (install from https://claude.ai/download)"
+    which python3 > /dev/null 2>&1 && echo "Python: $(python3 --version)" || echo "Python: MISSING"
+    brew list portaudio > /dev/null 2>&1 && echo "portaudio: OK" || echo "portaudio: MISSING (brew install portaudio)"
+    uv run python -c "import edge_tts" 2>/dev/null && echo "edge-tts: OK" || echo "edge-tts: MISSING (run: just deps)"
+    uv run python -c "import faster_whisper" 2>/dev/null && echo "faster-whisper: OK" || echo "faster-whisper: NOT INSTALLED (optional: just install whisper)"
+    uv run python -c "import fishaudio" 2>/dev/null && echo "fish-audio-sdk: OK" || echo "fish-audio-sdk: NOT INSTALLED (optional: just install fish)"
diff --git a/.justfiles/voice.just b/.justfiles/voice.just
new file mode 100644
index 0000000..057db75
--- /dev/null
+++ b/.justfiles/voice.just
@@ -0,0 +1,77 @@
+# Voice & audio setup recipes
+
+[private]
+default:
+    @just --list --unsorted --justfile {{source_file()}}
+
+# Test mic and speaker with current providers
+[no-cd]
+test:
+    uv run samantha test
+
+# List available TTS voices (filtered to en-US female by default)
+[no-cd]
+voices:
+    uv run samantha voices --locale en-US --gender female
+
+# List all available TTS voices
+[no-cd]
+voices-all:
+    uv run samantha voices
+
+# List voices filtered by locale and gender
+[no-cd]
+voices-filter LOCALE GENDER:
+    uv run samantha voices --locale {{LOCALE}} --gender {{GENDER}}
+
+# Show available TTS/STT providers and status
+[no-cd]
+providers:
+    uv run samantha providers
+
+# Set TTS voice
+[no-cd]
+set-voice VOICE:
+    uv run samantha config tts_voice {{VOICE}}
+
+# Set speech speed (0.5 = slow, 1.0 = normal, 1.5 = fast)
+[no-cd]
+set-speed SPEED:
+    uv run samantha config speech_speed {{SPEED}}
+
+# Switch to edge-tts (free, default)
+[no-cd]
+use-edge:
+    uv run samantha config tts_provider edge
+    @echo "TTS switched to edge-tts (free, no API key)"
+
+# Switch to Fish Audio (requires API key)
+[no-cd]
+use-fish KEY:
+    uv pip install -e ".[fish]"
+    uv run samantha config tts_provider fish
+    uv run samantha config fish_api_key {{KEY}}
+    @echo "TTS switched to Fish Audio"
+
+# Switch STT to local whisper
+[no-cd]
+use-whisper MODEL="base":
+    uv pip install -e ".[whisper]"
+    uv run samantha config stt_provider whisper
+    uv run samantha config whisper_model {{MODEL}}
+    @echo "STT switched to whisper (model: {{MODEL}})"
+
+# Switch STT back to Google (free, cloud)
+[no-cd]
+use-google-stt:
+    uv run samantha config stt_provider google
+    @echo "STT switched to Google (free, requires internet)"
+
+# Go fully local (edge-tts + whisper)
+[no-cd]
+go-local MODEL="base":
+    uv pip install -e ".[whisper]"
+    uv run samantha config tts_provider edge
+    uv run samantha config stt_provider whisper
+    uv run samantha config whisper_model {{MODEL}}
+    @echo "Fully local mode: edge-tts + whisper (model: {{MODEL}})"
diff --git a/justfile b/justfile
new file mode 100644
index 0000000..e606135
--- /dev/null
+++ b/justfile
@@ -0,0 +1,54 @@
+#!/usr/bin/env just --justfile
+# Samantha CLI - Give Claude a voice
+
+set dotenv-load := true
+
+# Modules
+[doc('Voice & audio setup')]
+mod voice '.justfiles/voice.just'
+
+[doc('Development tasks')]
+mod dev '.justfiles/dev.just'
+
+[doc('Installation options')]
+mod install '.justfiles/install.just'
+
+[private]
+default:
+    #!/usr/bin/env bash
+    echo "Samantha CLI - Give Claude a voice"
+    echo ""
+    just --list --unsorted
+
+# Talk to Samantha (full voice mode)
+talk:
+    uv run samantha
+
+# Talk in text mode (type instead of speak, still hear her voice)
+text:
+    uv run samantha --text
+
+# Talk in silent mode (type + read, no audio)
+silent:
+    uv run samantha --text --no-voice
+
+# Resume last conversation
+resume *SESSION:
+    uv run samantha resume {{SESSION}}
+
+# Show current config
+config:
+    uv run samantha config
+
+# Set a config value
+set KEY VALUE:
+    uv run samantha config {{KEY}} {{VALUE}}
+
+# Install/sync dependencies
+deps:
+    uv sync
+
+# Clean build artifacts
+clean:
+    rm -rf dist/ build/ *.egg-info .pytest_cache .mypy_cache htmlcov/
+    find . -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true

From 0d171e808c20e0974958076eb2996a8888e009c1 Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 01:05:48 -0600
Subject: [PATCH 05/12] [OBEY-CAMPAIGN-8a57dff6] Fix mic selection to use
 system default input device

---
 samantha/stt/google.py  | 16 +++++++++++++++-
 samantha/stt/whisper.py |  4 +++-
 2 files changed, 18 insertions(+), 2 deletions(-)

diff --git a/samantha/stt/google.py b/samantha/stt/google.py
index 56cc346..10061b5 100644
--- a/samantha/stt/google.py
+++ b/samantha/stt/google.py
@@ -3,6 +3,20 @@
 from __future__ import annotations
 
 
+def _default_mic_index() -> int | None:
+    """Get the system default input device index via PyAudio."""
+    try:
+        import pyaudio
+        p = pyaudio.PyAudio()
+        try:
+            info = p.get_default_input_device_info()
+            return info["index"]
+        finally:
+            p.terminate()
+    except Exception:
+        return None
+
+
 class GoogleSTTProvider:
     """STT using Google's free speech recognition service."""
 
@@ -30,7 +44,7 @@ def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | No
         recognizer = self._init_recognizer()
 
         try:
-            with sr.Microphone() as source:
+            with sr.Microphone(device_index=_default_mic_index()) as source:
                 recognizer.adjust_for_ambient_noise(source, duration=0.5)
                 audio = recognizer.listen(
                     source,
diff --git a/samantha/stt/whisper.py b/samantha/stt/whisper.py
index f063e68..f9228a0 100644
--- a/samantha/stt/whisper.py
+++ b/samantha/stt/whisper.py
@@ -5,6 +5,8 @@
 import tempfile
 from pathlib import Path
 
+from samantha.stt.google import _default_mic_index
+
 
 class WhisperSTTProvider:
     """STT using faster-whisper for local speech recognition."""
@@ -35,7 +37,7 @@ def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | No
         recognizer.energy_threshold = 300
 
         try:
-            with sr.Microphone() as source:
+            with sr.Microphone(device_index=_default_mic_index()) as source:
                 recognizer.adjust_for_ambient_noise(source, duration=0.5)
                 audio = recognizer.listen(
                     source,

From 6433ca29aa6920fbf0285a0140dfa8f6a665ebc8 Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 01:40:15 -0600
Subject: [PATCH 06/12] [OBEY-CAMPAIGN-8a57dff6] Add Kokoro-82M as default
 local TTS provider

---
 .justfiles/voice.just    |  20 +-
 pyproject.toml           |   7 +-
 samantha/cli.py          |   5 +-
 samantha/config.py       |   4 +-
 samantha/tts/__init__.py |  24 +-
 samantha/tts/kokoro.py   |  96 +++++
 samantha/voice.py        |   3 +-
 uv.lock                  | 739 ++++++++++++++++++++++++++++++++++++++-
 8 files changed, 877 insertions(+), 21 deletions(-)
 create mode 100644 samantha/tts/kokoro.py

diff --git a/.justfiles/voice.just b/.justfiles/voice.just
index 057db75..cc24130 100644
--- a/.justfiles/voice.just
+++ b/.justfiles/voice.just
@@ -39,11 +39,20 @@ set-voice VOICE:
 set-speed SPEED:
     uv run samantha config speech_speed {{SPEED}}
 
-# Switch to edge-tts (free, default)
+# Switch to Kokoro (local, high quality, default)
+[no-cd]
+use-kokoro:
+    uv run samantha config tts_provider kokoro
+    uv run samantha config tts_voice af_heart
+    @echo "TTS switched to Kokoro (local, no API key)"
+
+# Switch to edge-tts (free cloud)
 [no-cd]
 use-edge:
+    uv pip install -e ".[edge]"
     uv run samantha config tts_provider edge
-    @echo "TTS switched to edge-tts (free, no API key)"
+    uv run samantha config tts_voice en-US-AriaNeural
+    @echo "TTS switched to edge-tts (free cloud)"
 
 # Switch to Fish Audio (requires API key)
 [no-cd]
@@ -67,11 +76,12 @@ use-google-stt:
     uv run samantha config stt_provider google
     @echo "STT switched to Google (free, requires internet)"
 
-# Go fully local (edge-tts + whisper)
+# Go fully local (kokoro + whisper)
 [no-cd]
 go-local MODEL="base":
     uv pip install -e ".[whisper]"
-    uv run samantha config tts_provider edge
+    uv run samantha config tts_provider kokoro
+    uv run samantha config tts_voice af_heart
     uv run samantha config stt_provider whisper
     uv run samantha config whisper_model {{MODEL}}
-    @echo "Fully local mode: edge-tts + whisper (model: {{MODEL}})"
+    @echo "Fully local mode: kokoro + whisper (model: {{MODEL}})"
diff --git a/pyproject.toml b/pyproject.toml
index ac1df70..b2c70be 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -18,7 +18,8 @@ classifiers = [
     "Topic :: Scientific/Engineering :: Artificial Intelligence",
 ]
 dependencies = [
-    "edge-tts>=6.1",
+    "kokoro-onnx>=0.4",
+    "soundfile>=0.12",
     "SpeechRecognition>=3.10",
     "PyAudio>=0.2.14",
     "rich>=13.0",
@@ -28,10 +29,12 @@ dependencies = [
 ]
 
 [project.optional-dependencies]
+edge = ["edge-tts>=6.1"]
 fish = ["fish-audio-sdk>=0.1"]
 whisper = ["faster-whisper>=1.0"]
 local = ["faster-whisper>=1.0"]
-all = ["fish-audio-sdk>=0.1", "faster-whisper>=1.0"]
+cloud = ["edge-tts>=6.1", "fish-audio-sdk>=0.1"]
+all = ["edge-tts>=6.1", "fish-audio-sdk>=0.1", "faster-whisper>=1.0"]
 
 [project.scripts]
 samantha = "samantha.cli:main"
diff --git a/samantha/cli.py b/samantha/cli.py
index 87f497e..36ab446 100644
--- a/samantha/cli.py
+++ b/samantha/cli.py
@@ -144,8 +144,9 @@ def providers() -> None:
     console.print("  [bold]TTS (text-to-speech):[/bold]")
     tts_active = settings["tts_provider"]
     tts_options = [
-        ("edge", "edge-tts", "Free, no API key", True),
-        ("fish", "fish-audio-sdk", "Paid, custom voice clones", _check_import("fishaudio")),
+        ("kokoro", "kokoro-onnx", "Local, high quality, no API key", _check_import("kokoro_onnx")),
+        ("edge", "edge-tts", "Free cloud, no API key", _check_import("edge_tts")),
+        ("fish", "fish-audio-sdk", "Paid cloud, custom voice clones", _check_import("fishaudio")),
     ]
     for name, pkg, desc, installed in tts_options:
         marker = "[green]active[/green]" if name == tts_active else ("[dim]ready[/dim]" if installed else "[yellow]not installed[/yellow]")
diff --git a/samantha/config.py b/samantha/config.py
index b12b43b..e8b0d29 100644
--- a/samantha/config.py
+++ b/samantha/config.py
@@ -19,8 +19,8 @@
 
 DEFAULTS: dict[str, Any] = {
     # TTS settings
-    "tts_provider": "edge",
-    "tts_voice": "en-US-AriaNeural",
+    "tts_provider": "kokoro",
+    "tts_voice": "af_heart",
     "speech_speed": 0.95,
 
     # STT settings
diff --git a/samantha/tts/__init__.py b/samantha/tts/__init__.py
index 77044bd..541ef09 100644
--- a/samantha/tts/__init__.py
+++ b/samantha/tts/__init__.py
@@ -9,9 +9,23 @@
 
 def get_tts_provider(config: dict[str, Any]) -> TTSProvider:
     """Create a TTS provider from config settings."""
-    provider = config.get("tts_provider", "edge")
+    provider = config.get("tts_provider", "kokoro")
     speed = config.get("speech_speed", 1.0)
 
+    if provider == "kokoro":
+        from samantha.tts.kokoro import KokoroTTSProvider
+        return KokoroTTSProvider(
+            voice=config.get("tts_voice", "af_heart"),
+            speed=speed,
+        )
+
+    if provider == "edge":
+        from samantha.tts.edge import EdgeTTSProvider
+        return EdgeTTSProvider(
+            voice=config.get("tts_voice", "en-US-AriaNeural"),
+            speed=speed,
+        )
+
     if provider == "fish":
         from samantha.tts.fish import FishAudioProvider
         return FishAudioProvider(
@@ -20,8 +34,6 @@ def get_tts_provider(config: dict[str, Any]) -> TTSProvider:
             speed=speed,
         )
 
-    from samantha.tts.edge import EdgeTTSProvider
-    return EdgeTTSProvider(
-        voice=config.get("tts_voice", "en-US-AriaNeural"),
-        speed=speed,
-    )
+    # Fallback to kokoro
+    from samantha.tts.kokoro import KokoroTTSProvider
+    return KokoroTTSProvider(voice=config.get("tts_voice", "af_heart"), speed=speed)
diff --git a/samantha/tts/kokoro.py b/samantha/tts/kokoro.py
new file mode 100644
index 0000000..a54d23c
--- /dev/null
+++ b/samantha/tts/kokoro.py
@@ -0,0 +1,96 @@
+"""Kokoro TTS provider — local, no API key, high quality."""
+
+from __future__ import annotations
+
+import os
+import urllib.request
+from pathlib import Path
+
+MODELS_DIR = Path.home() / ".cache" / "samantha" / "models"
+MODEL_URL = "https://github.com/thewh1teagle/kokoro-onnx/releases/download/model-files-v1.0/kokoro-v1.0.onnx"
+VOICES_URL = "https://github.com/thewh1teagle/kokoro-onnx/releases/download/model-files-v1.0/voices-v1.0.bin"
+MODEL_FILE = "kokoro-v1.0.onnx"
+VOICES_FILE = "voices-v1.0.bin"
+SAMPLE_RATE = 24000
+
+
+def _download_if_missing(url: str, filename: str) -> Path:
+    """Download a model file if not already cached."""
+    path = MODELS_DIR / filename
+    if path.exists():
+        return path
+
+    MODELS_DIR.mkdir(parents=True, exist_ok=True)
+    print(f"  Downloading {filename}...")
+    urllib.request.urlretrieve(url, str(path))
+    print(f"  Saved to {path}")
+    return path
+
+
+class KokoroTTSProvider:
+    """TTS using Kokoro-82M via ONNX runtime. Fully local after first download."""
+
+    def __init__(self, voice: str = "af_heart", speed: float = 1.0) -> None:
+        self.voice = voice
+        self.speed = speed
+        self._kokoro = None
+
+    def _init(self):
+        if self._kokoro is not None:
+            return
+
+        from kokoro_onnx import Kokoro
+
+        model_path = _download_if_missing(MODEL_URL, MODEL_FILE)
+        voices_path = _download_if_missing(VOICES_URL, VOICES_FILE)
+        self._kokoro = Kokoro(str(model_path), str(voices_path))
+
+    def generate(self, text: str, output_path: str) -> str:
+        import soundfile as sf
+
+        self._init()
+        samples, sr = self._kokoro.create(text, voice=self.voice, speed=self.speed)
+        sf.write(output_path, samples, sr)
+        return output_path
+
+    def available(self) -> bool:
+        try:
+            import kokoro_onnx  # noqa: F401
+            import soundfile  # noqa: F401
+            return True
+        except ImportError:
+            return False
+
+    def list_voices(self, locale: str = "", gender: str = "") -> list[dict]:
+        self._init()
+        voices = self._kokoro.get_voices()
+
+        # Voice naming: {lang}{gender}_{name}
+        # a=American, b=British, e=Spanish, f=French, h=Hindi, i=Italian, j=Japanese, p=Portuguese, z=Chinese
+        # f=female, m=male
+        lang_map = {
+            "a": "en-US", "b": "en-GB", "e": "es", "f": "fr",
+            "h": "hi", "i": "it", "j": "ja", "p": "pt", "z": "zh",
+        }
+        gender_map = {"f": "Female", "m": "Male"}
+
+        results = []
+        for v in voices:
+            if len(v) < 3 or "_" not in v:
+                continue
+            v_locale = lang_map.get(v[0], "unknown")
+            v_gender = gender_map.get(v[1], "unknown")
+            v_name = v.split("_", 1)[1] if "_" in v else v
+
+            if locale and not v_locale.startswith(locale):
+                continue
+            if gender and v_gender.lower() != gender.lower():
+                continue
+
+            results.append({
+                "name": v,
+                "friendly_name": f"Kokoro {v_name.title()} ({v_locale})",
+                "gender": v_gender,
+                "locale": v_locale,
+            })
+        return results
diff --git a/samantha/voice.py b/samantha/voice.py
index 101346c..0c2014e 100644
--- a/samantha/voice.py
+++ b/samantha/voice.py
@@ -41,7 +41,8 @@ def generate_audio(self, text: str) -> str | None:
         if not self.tts_available:
             return None
 
-        output_path = str(self._temp_dir / "response.mp3")
+        ext = ".wav" if self.config.get("tts_provider") == "kokoro" else ".mp3"
+        output_path = str(self._temp_dir / f"response{ext}")
         try:
             return self.tts.generate(text, output_path)
         except Exception as e:
diff --git a/uv.lock b/uv.lock
index 30d28e6..bf75d15 100644
--- a/uv.lock
+++ b/uv.lock
@@ -286,6 +286,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/41/0a/0896b829a39b5669a2d811e1a79598de661693685cd62b31f11d0c18e65b/av-17.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:dba98603fc4665b4f750de86fbaf6c0cfaece970671a9b529e0e3d1711e8367e", size = 22071058, upload-time = "2026-03-14T14:38:43.663Z" },
 ]
 
+[[package]]
+name = "babel"
+version = "2.18.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/7d/b2/51899539b6ceeeb420d40ed3cd4b7a40519404f9baf3d4ac99dc413a834b/babel-2.18.0.tar.gz", hash = "sha256:b80b99a14bd085fcacfa15c9165f651fbb3406e66cc603abf11c5750937c992d", size = 9959554, upload-time = "2026-02-01T12:30:56.078Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/77/f5/21d2de20e8b8b0408f0681956ca2c69f1320a3848ac50e6e7f39c6159675/babel-2.18.0-py3-none-any.whl", hash = "sha256:e2b422b277c2b9a9630c1d7903c2a00d0830c409c59ac8cae9081c92f1aeba35", size = 10196845, upload-time = "2026-02-01T12:30:53.445Z" },
+]
+
 [[package]]
 name = "certifi"
 version = "2026.2.25"
@@ -295,6 +304,193 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/9a/3c/c17fb3ca2d9c3acff52e30b309f538586f9f5b9c9cf454f3845fc9af4881/certifi-2026.2.25-py3-none-any.whl", hash = "sha256:027692e4402ad994f1c42e52a4997a9763c646b73e4096e4d5d6db8af1d6f0fa", size = 153684, upload-time = "2026-02-25T02:54:15.766Z" },
 ]
 
+[[package]]
+name = "cffi"
+version = "2.0.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "pycparser", marker = "implementation_name != 'PyPy'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/eb/56/b1ba7935a17738ae8453301356628e8147c79dbb825bcbc73dc7401f9846/cffi-2.0.0.tar.gz", hash = "sha256:44d1b5909021139fe36001ae048dbdde8214afa20200eda0f64c068cac5d5529", size = 523588, upload-time = "2025-09-08T23:24:04.541Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/93/d7/516d984057745a6cd96575eea814fe1edd6646ee6efd552fb7b0921dec83/cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44", size = 184283, upload-time = "2025-09-08T23:22:08.01Z" },
+    { url = "https://files.pythonhosted.org/packages/9e/84/ad6a0b408daa859246f57c03efd28e5dd1b33c21737c2db84cae8c237aa5/cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49", size = 180504, upload-time = "2025-09-08T23:22:10.637Z" },
+    { url = "https://files.pythonhosted.org/packages/50/bd/b1a6362b80628111e6653c961f987faa55262b4002fcec42308cad1db680/cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c", size = 208811, upload-time = "2025-09-08T23:22:12.267Z" },
+    { url = "https://files.pythonhosted.org/packages/4f/27/6933a8b2562d7bd1fb595074cf99cc81fc3789f6a6c05cdabb46284a3188/cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb", size = 216402, upload-time = "2025-09-08T23:22:13.455Z" },
+    { url = "https://files.pythonhosted.org/packages/05/eb/b86f2a2645b62adcfff53b0dd97e8dfafb5c8aa864bd0d9a2c2049a0d551/cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0", size = 203217, upload-time = "2025-09-08T23:22:14.596Z" },
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 version = "0.1.0"
 source = { editable = "." }
 dependencies = [
     { name = "click" },
-    { name = "edge-tts" },
+    { name = "kokoro-onnx" },
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     { name = "python-dotenv" },
     { name = "pyyaml" },
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 [package.optional-dependencies]
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     { name = "fish-audio-sdk", marker = "extra == 'fish'", specifier = ">=0.1" },
+    { name = "kokoro-onnx", specifier = ">=0.4" },
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     { name = "python-dotenv", specifier = ">=1.0" },
     { name = "pyyaml", specifier = ">=6.0" },
     { name = "rich", specifier = ">=13.0" },
+    { name = "soundfile", specifier = ">=0.12" },
     { name = "speechrecognition", specifier = ">=3.10" },
 ]
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+
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+    { url = "https://files.pythonhosted.org/packages/a0/e5/58fd1a8d7b26fc113af244f966ee3aecf03cb9293cb935daaddc1e455e18/soundfile-0.13.1-py2.py3-none-macosx_11_0_arm64.whl", hash = "sha256:743f12c12c4054921e15736c6be09ac26b3b3d603aef6fd69f9dde68748f2593", size = 1101406, upload-time = "2025-01-25T09:16:49.662Z" },
+    { url = "https://files.pythonhosted.org/packages/58/ae/c0e4a53d77cf6e9a04179535766b3321b0b9ced5f70522e4caf9329f0046/soundfile-0.13.1-py2.py3-none-manylinux_2_28_aarch64.whl", hash = "sha256:9c9e855f5a4d06ce4213f31918653ab7de0c5a8d8107cd2427e44b42df547deb", size = 1235729, upload-time = "2025-01-25T09:16:53.018Z" },
+    { url = "https://files.pythonhosted.org/packages/57/5e/70bdd9579b35003a489fc850b5047beeda26328053ebadc1fb60f320f7db/soundfile-0.13.1-py2.py3-none-manylinux_2_28_x86_64.whl", hash = "sha256:03267c4e493315294834a0870f31dbb3b28a95561b80b134f0bd3cf2d5f0e618", size = 1313646, upload-time = "2025-01-25T09:16:54.872Z" },
+    { url = "https://files.pythonhosted.org/packages/fe/df/8c11dc4dfceda14e3003bb81a0d0edcaaf0796dd7b4f826ea3e532146bba/soundfile-0.13.1-py2.py3-none-win32.whl", hash = "sha256:c734564fab7c5ddf8e9be5bf70bab68042cd17e9c214c06e365e20d64f9a69d5", size = 899881, upload-time = "2025-01-25T09:16:56.663Z" },
+    { url = "https://files.pythonhosted.org/packages/14/e9/6b761de83277f2f02ded7e7ea6f07828ec78e4b229b80e4ca55dd205b9dc/soundfile-0.13.1-py2.py3-none-win_amd64.whl", hash = "sha256:1e70a05a0626524a69e9f0f4dd2ec174b4e9567f4d8b6c11d38b5c289be36ee9", size = 1019162, upload-time = "2025-01-25T09:16:59.573Z" },
+]
+
 [[package]]
 name = "speechrecognition"
 version = "3.15.1"
@@ -1592,6 +2298,15 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/99/55/db07de81b5c630da5cbf5c7df646580ca26dfaefa593667fc6f2fe016d2e/tabulate-0.10.0-py3-none-any.whl", hash = "sha256:f0b0622e567335c8fabaaa659f1b33bcb6ddfe2e496071b743aa113f8774f2d3", size = 39814, upload-time = "2026-03-04T18:55:31.284Z" },
 ]
 
+[[package]]
+name = "termcolor"
+version = "3.3.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/46/79/cf31d7a93a8fdc6aa0fbb665be84426a8c5a557d9240b6239e9e11e35fc5/termcolor-3.3.0.tar.gz", hash = "sha256:348871ca648ec6a9a983a13ab626c0acce02f515b9e1983332b17af7979521c5", size = 14434, upload-time = "2025-12-29T12:55:21.882Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/33/d1/8bb87d21e9aeb323cc03034f5eaf2c8f69841e40e4853c2627edf8111ed3/termcolor-3.3.0-py3-none-any.whl", hash = "sha256:cf642efadaf0a8ebbbf4bc7a31cec2f9b5f21a9f726f4ccbb08192c9c26f43a5", size = 7734, upload-time = "2025-12-29T12:55:20.718Z" },
+]
+
 [[package]]
 name = "tokenizers"
 version = "0.22.2"
@@ -1670,6 +2385,24 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/dc/9b/47798a6c91d8bdb567fe2698fe81e0c6b7cb7ef4d13da4114b41d239f65d/typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7", size = 14611, upload-time = "2025-10-01T02:14:40.154Z" },
 ]
 
+[[package]]
+name = "uritemplate"
+version = "4.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/98/60/f174043244c5306c9988380d2cb10009f91563fc4b31293d27e17201af56/uritemplate-4.2.0.tar.gz", hash = "sha256:480c2ed180878955863323eea31b0ede668795de182617fef9c6ca09e6ec9d0e", size = 33267, upload-time = "2025-06-02T15:12:06.318Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a9/99/3ae339466c9183ea5b8ae87b34c0b897eda475d2aec2307cae60e5cd4f29/uritemplate-4.2.0-py3-none-any.whl", hash = "sha256:962201ba1c4edcab02e60f9a0d3821e82dfc5d2d6662a21abd533879bdb8a686", size = 11488, upload-time = "2025-06-02T15:12:03.405Z" },
+]
+
+[[package]]
+name = "urllib3"
+version = "2.6.3"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
+]
+
 [[package]]
 name = "wsproto"
 version = "1.3.2"

From 06e376776f25a03459106cdf97fd11abdd1b1e9f Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 01:50:18 -0600
Subject: [PATCH 07/12] [OBEY-CAMPAIGN-8a57dff6] Add granular status indicators
 with timing for each pipeline step

---
 samantha/cli.py | 50 +++++++++++++++++++++++++++++++++----------------
 samantha/ui.py  | 20 +++++++++++++++-----
 2 files changed, 49 insertions(+), 21 deletions(-)

diff --git a/samantha/cli.py b/samantha/cli.py
index 36ab446..a9f0364 100644
--- a/samantha/cli.py
+++ b/samantha/cli.py
@@ -294,6 +294,8 @@ def _conversation_loop(
     text_mode: bool,
 ) -> None:
     """Run the listen-think-speak loop until interrupted."""
+    import time
+
     while True:
         # --- 1. Get user input ---
         if text_mode:
@@ -305,6 +307,7 @@ def _conversation_loop(
                 continue
         else:
             ui.show_status(Status.LISTENING)
+            t0 = time.monotonic()
             try:
                 user_input = voice.listen()
             except KeyboardInterrupt:
@@ -316,12 +319,14 @@ def _conversation_loop(
                 text_mode = True
                 continue
 
+            listen_time = time.monotonic() - t0
             ui.clear_status()
 
             if user_input is None:
                 continue  # Silence or unrecognized -- keep listening
 
             ui.show_user(user_input)
+            ui.show_step("listen + transcribe", listen_time)
 
         # --- Natural language commands ---
         cmd = user_input.strip().lower()
@@ -352,6 +357,7 @@ def _conversation_loop(
 
         # --- 2. Think ---
         ui.show_status(Status.THINKING)
+        t0 = time.monotonic()
         try:
             response = brain.think(user_input)
         except (RuntimeError, TimeoutError) as e:
@@ -359,7 +365,9 @@ def _conversation_loop(
             ui.show_error(str(e))
             continue
 
+        think_time = time.monotonic() - t0
         ui.clear_status()
+        ui.show_step("claude thinking", think_time)
 
         # --- 3. Respond ---
         # Show full Opus response if it was summarized
@@ -375,31 +383,41 @@ def _conversation_loop(
             ))
 
         if voice.tts_available and not text_mode:
-            ui.show_status(Status.SPEAKING)
+            # --- Generate audio ---
+            ui.show_status(Status.GENERATING)
+            t0 = time.monotonic()
             try:
-                import threading
-
                 audio_path = voice.generate_audio(response)
-                if audio_path:
-                    player = threading.Thread(target=voice.play_audio, args=(audio_path,), daemon=True)
-                    player.start()
-
-                    ui.clear_status()
-                    ui.show_samantha(response)
-
-                    player.join()
-                else:
-                    ui.clear_status()
-                    ui.show_samantha(response)
             except TTSError as e:
                 ui.clear_status()
                 ui.show_samantha(response)
                 ui.show_info(f"Voice output failed: {e}")
+                continue
+
+            gen_time = time.monotonic() - t0
+            ui.clear_status()
+            ui.show_step("voice generation", gen_time)
+
+            # --- Play audio ---
+            if audio_path:
+                ui.show_status(Status.SPEAKING)
+                import threading
+
+                player = threading.Thread(target=voice.play_audio, args=(audio_path,), daemon=True)
+                t0 = time.monotonic()
+                player.start()
+
+                ui.clear_status()
+                ui.show_samantha(response)
+
+                player.join()
+                play_time = time.monotonic() - t0
+                ui.show_step("playback", play_time)
+            else:
+                ui.show_samantha(response)
         else:
             ui.show_samantha(response)
 
-        ui.clear_status()
-
 
 if __name__ == "__main__":
     main()
diff --git a/samantha/ui.py b/samantha/ui.py
index 58b9256..57972d4 100644
--- a/samantha/ui.py
+++ b/samantha/ui.py
@@ -18,7 +18,10 @@ class Status(Enum):
 
     IDLE = "idle"
     LISTENING = "listening"
+    HEARING = "hearing"
+    TRANSCRIBING = "transcribing"
     THINKING = "thinking"
+    GENERATING = "generating"
     SPEAKING = "speaking"
     ERROR = "error"
 
@@ -26,11 +29,14 @@ class Status(Enum):
 # Status display configuration
 _STATUS_STYLES: dict[Status, tuple[str, str, str]] = {
     #                    (dot_color,  label,          style)
-    Status.IDLE:       ("dim",       "Ready",        "dim"),
-    Status.LISTENING:  ("green",     "Listening...",  "bold green"),
-    Status.THINKING:   ("yellow",    "Thinking...",   "bold yellow"),
-    Status.SPEAKING:   ("blue",      "Speaking...",   "bold blue"),
-    Status.ERROR:      ("red",       "Error",         "bold red"),
+    Status.IDLE:         ("dim",       "Ready",              "dim"),
+    Status.LISTENING:    ("green",     "Listening...",        "bold green"),
+    Status.HEARING:      ("green",     "Hearing you...",     "bold green"),
+    Status.TRANSCRIBING: ("cyan",      "Transcribing...",    "bold cyan"),
+    Status.THINKING:     ("yellow",    "Claude thinking...", "bold yellow"),
+    Status.GENERATING:   ("blue",      "Generating voice...", "bold blue"),
+    Status.SPEAKING:     ("magenta",   "Speaking...",         "bold magenta"),
+    Status.ERROR:        ("red",       "Error",               "bold red"),
 }
 
 
@@ -121,6 +127,10 @@ def show_error(self, message: str) -> None:
         self.console.print(line)
         self.console.print()
 
+    def show_step(self, label: str, elapsed: float) -> None:
+        """Display a completed step with timing."""
+        self.console.print(f"  [dim]  {label} ({elapsed:.1f}s)[/dim]")
+
     def show_info(self, message: str) -> None:
         """Display an informational message."""
         self.console.print(f"  [dim]{message}[/dim]")

From 7fca2ed45d7876228e7470659d5bc53687d6f4a1 Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 01:52:00 -0600
Subject: [PATCH 08/12] [OBEY-CAMPAIGN-8a57dff6] Add real-time status callbacks
 for STT listening/transcribing phases

---
 samantha/cli.py         | 35 +++++++++++++++++++++++++++++++----
 samantha/stt/google.py  |  9 +++++++++
 samantha/stt/whisper.py | 12 ++++++++++--
 3 files changed, 50 insertions(+), 6 deletions(-)

diff --git a/samantha/cli.py b/samantha/cli.py
index a9f0364..f8f3885 100644
--- a/samantha/cli.py
+++ b/samantha/cli.py
@@ -296,6 +296,29 @@ def _conversation_loop(
     """Run the listen-think-speak loop until interrupted."""
     import time
 
+    # Wire up STT status callback so UI updates during listen/transcribe
+    _stt_status_map = {
+        "listening": Status.LISTENING,
+        "loading_model": Status.TRANSCRIBING,
+        "transcribing": Status.TRANSCRIBING,
+    }
+    _phase_times: dict[str, float] = {}
+
+    def _on_stt_status(phase: str) -> None:
+        now = time.monotonic()
+        # Log timing of previous phase
+        if _phase_times.get("last_phase"):
+            prev = _phase_times["last_phase"]
+            elapsed = now - _phase_times.get("last_time", now)
+            ui.clear_status()
+            ui.show_step(prev, elapsed)
+        _phase_times["last_phase"] = phase
+        _phase_times["last_time"] = now
+        status = _stt_status_map.get(phase, Status.LISTENING)
+        ui.show_status(status)
+
+    voice.stt.on_status = _on_stt_status
+
     while True:
         # --- 1. Get user input ---
         if text_mode:
@@ -306,7 +329,7 @@ def _conversation_loop(
             if not user_input:
                 continue
         else:
-            ui.show_status(Status.LISTENING)
+            _phase_times.clear()
             t0 = time.monotonic()
             try:
                 user_input = voice.listen()
@@ -319,14 +342,18 @@ def _conversation_loop(
                 text_mode = True
                 continue
 
-            listen_time = time.monotonic() - t0
-            ui.clear_status()
+            # Show final phase timing
+            if _phase_times.get("last_phase"):
+                elapsed = time.monotonic() - _phase_times.get("last_time", t0)
+                ui.clear_status()
+                ui.show_step(_phase_times["last_phase"], elapsed)
+            else:
+                ui.clear_status()
 
             if user_input is None:
                 continue  # Silence or unrecognized -- keep listening
 
             ui.show_user(user_input)
-            ui.show_step("listen + transcribe", listen_time)
 
         # --- Natural language commands ---
         cmd = user_input.strip().lower()
diff --git a/samantha/stt/google.py b/samantha/stt/google.py
index 10061b5..9e1fe4b 100644
--- a/samantha/stt/google.py
+++ b/samantha/stt/google.py
@@ -2,6 +2,8 @@
 
 from __future__ import annotations
 
+from typing import Callable
+
 
 def _default_mic_index() -> int | None:
     """Get the system default input device index via PyAudio."""
@@ -23,6 +25,7 @@ class GoogleSTTProvider:
     def __init__(self, language: str = "en-US") -> None:
         self.language = language
         self._recognizer = None
+        self.on_status: Callable[[str], None] | None = None
 
     def _init_recognizer(self):
         if self._recognizer is not None:
@@ -43,6 +46,9 @@ def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | No
 
         recognizer = self._init_recognizer()
 
+        if self.on_status:
+            self.on_status("listening")
+
         try:
             with sr.Microphone(device_index=_default_mic_index()) as source:
                 recognizer.adjust_for_ambient_noise(source, duration=0.5)
@@ -59,6 +65,9 @@ def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | No
                 "Check your audio input settings and permissions."
             ) from e
 
+        if self.on_status:
+            self.on_status("transcribing")
+
         try:
             text = recognizer.recognize_google(audio, language=self.language)
             return text.strip() if text else None
diff --git a/samantha/stt/whisper.py b/samantha/stt/whisper.py
index f9228a0..5b252f7 100644
--- a/samantha/stt/whisper.py
+++ b/samantha/stt/whisper.py
@@ -4,6 +4,7 @@
 
 import tempfile
 from pathlib import Path
+from typing import Callable
 
 from samantha.stt.google import _default_mic_index
 
@@ -15,6 +16,7 @@ def __init__(self, model_size: str = "base", language: str = "en") -> None:
         self.model_size = model_size
         self.language = language.split("-")[0]  # "en-US" -> "en"
         self._model = None
+        self.on_status: Callable[[str], None] | None = None
 
     def _init_model(self):
         if self._model is not None:
@@ -22,13 +24,14 @@ def _init_model(self):
 
         from faster_whisper import WhisperModel
 
+        if self.on_status:
+            self.on_status("loading_model")
         self._model = WhisperModel(self.model_size, compute_type="auto")
         return self._model
 
     def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | None:
         import speech_recognition as sr
 
-        # Use SpeechRecognition for mic capture only
         recognizer = sr.Recognizer()
         recognizer.pause_threshold = 3.0
         recognizer.phrase_threshold = 0.2
@@ -36,6 +39,9 @@ def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | No
         recognizer.dynamic_energy_threshold = True
         recognizer.energy_threshold = 300
 
+        if self.on_status:
+            self.on_status("listening")
+
         try:
             with sr.Microphone(device_index=_default_mic_index()) as source:
                 recognizer.adjust_for_ambient_noise(source, duration=0.5)
@@ -52,7 +58,9 @@ def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | No
                 "Check your audio input settings and permissions."
             ) from e
 
-        # Save captured audio to temp WAV and transcribe locally
+        if self.on_status:
+            self.on_status("transcribing")
+
         wav_data = audio.get_wav_data()
         tmp = Path(tempfile.mktemp(suffix=".wav", prefix="samantha_stt_"))
         try:

From 219d72aff9f5f293c453f5eca78f6d5515fe75df Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 01:56:32 -0600
Subject: [PATCH 09/12] Add animated microphone waveform indicator for
 listening state

Replace static status dot with pulsing waveform bars animation
that shows real-time visual feedback during voice capture phases.
---
 samantha/cli.py | 30 +++++++++--------
 samantha/ui.py  | 87 +++++++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 104 insertions(+), 13 deletions(-)

diff --git a/samantha/cli.py b/samantha/cli.py
index f8f3885..882deb5 100644
--- a/samantha/cli.py
+++ b/samantha/cli.py
@@ -283,6 +283,7 @@ def _run_assistant(text_mode: bool = False, no_voice: bool = False, brain: Brain
     except (KeyboardInterrupt, EOFError):
         pass
     finally:
+        ui.mic.stop()
         voice.cleanup()
         ui.show_goodbye()
 
@@ -296,12 +297,7 @@ def _conversation_loop(
     """Run the listen-think-speak loop until interrupted."""
     import time
 
-    # Wire up STT status callback so UI updates during listen/transcribe
-    _stt_status_map = {
-        "listening": Status.LISTENING,
-        "loading_model": Status.TRANSCRIBING,
-        "transcribing": Status.TRANSCRIBING,
-    }
+    # Wire up STT status callback to drive the mic animation
     _phase_times: dict[str, float] = {}
 
     def _on_stt_status(phase: str) -> None:
@@ -310,12 +306,20 @@ def _on_stt_status(phase: str) -> None:
         if _phase_times.get("last_phase"):
             prev = _phase_times["last_phase"]
             elapsed = now - _phase_times.get("last_time", now)
-            ui.clear_status()
+            ui.mic.stop()
             ui.show_step(prev, elapsed)
         _phase_times["last_phase"] = phase
         _phase_times["last_time"] = now
-        status = _stt_status_map.get(phase, Status.LISTENING)
-        ui.show_status(status)
+
+        if phase == "listening":
+            ui.mic.start("Listening...", "green")
+        elif phase == "hearing":
+            ui.mic.update_label("Hearing you...", "green")
+        elif phase in ("loading_model", "transcribing"):
+            ui.mic.stop()
+            ui.show_status(Status.TRANSCRIBING)
+        else:
+            ui.mic.start("Listening...", "green")
 
     voice.stt.on_status = _on_stt_status
 
@@ -334,21 +338,21 @@ def _on_stt_status(phase: str) -> None:
             try:
                 user_input = voice.listen()
             except KeyboardInterrupt:
+                ui.mic.stop()
                 break
             except RuntimeError as e:
-                ui.clear_status()
+                ui.mic.stop()
                 ui.show_error(str(e))
                 ui.show_info("Switching to text mode.")
                 text_mode = True
                 continue
 
+            ui.mic.stop()
+
             # Show final phase timing
             if _phase_times.get("last_phase"):
                 elapsed = time.monotonic() - _phase_times.get("last_time", t0)
-                ui.clear_status()
                 ui.show_step(_phase_times["last_phase"], elapsed)
-            else:
-                ui.clear_status()
 
             if user_input is None:
                 continue  # Silence or unrecognized -- keep listening
diff --git a/samantha/ui.py b/samantha/ui.py
index 57972d4..386bb1f 100644
--- a/samantha/ui.py
+++ b/samantha/ui.py
@@ -6,9 +6,12 @@
 
 from __future__ import annotations
 
+import threading
+import time
 from enum import Enum
 
 from rich.console import Console
+from rich.live import Live
 from rich.panel import Panel
 from rich.text import Text
 
@@ -39,6 +42,89 @@ class Status(Enum):
     Status.ERROR:        ("red",       "Error",               "bold red"),
 }
 
+# Mic animation frames -- vertical bars that pulse like an audio waveform
+_MIC_FRAMES = [
+    "  ▁ ▃ ▅ ▇ ▅ ▃ ▁  ",
+    "  ▂ ▅ ▇ ▅ ▃ ▁ ▂  ",
+    "  ▃ ▇ ▅ ▃ ▁ ▂ ▃  ",
+    "  ▅ ▅ ▃ ▁ ▂ ▃ ▅  ",
+    "  ▇ ▃ ▁ ▂ ▃ ▅ ▇  ",
+    "  ▅ ▁ ▂ ▃ ▅ ▇ ▅  ",
+    "  ▃ ▂ ▃ ▅ ▇ ▅ ▃  ",
+    "  ▁ ▃ ▅ ▇ ▅ ▃ ▁  ",
+    "  ▂ ▁ ▇ ▅ ▇ ▁ ▂  ",
+    "  ▃ ▅ ▃ ▇ ▃ ▅ ▃  ",
+    "  ▅ ▇ ▁ ▅ ▁ ▇ ▅  ",
+    "  ▇ ▅ ▃ ▃ ▃ ▅ ▇  ",
+]
+
+
+class MicAnimation:
+    """Animated microphone indicator that runs in a background thread."""
+
+    def __init__(self, console: Console) -> None:
+        self._console = console
+        self._live: Live | None = None
+        self._thread: threading.Thread | None = None
+        self._stop_event = threading.Event()
+        self._label = "Listening..."
+        self._color = "green"
+
+    def start(self, label: str = "Listening...", color: str = "green") -> None:
+        """Start the mic animation."""
+        self.stop()  # Clean up any previous animation
+        self._label = label
+        self._color = color
+        self._stop_event.clear()
+        self._live = Live(
+            self._render_frame(0),
+            console=self._console,
+            refresh_per_second=10,
+            transient=True,
+        )
+        self._live.start()
+        self._thread = threading.Thread(target=self._animate, daemon=True)
+        self._thread.start()
+
+    def update_label(self, label: str, color: str | None = None) -> None:
+        """Update the label text without restarting the animation."""
+        self._label = label
+        if color:
+            self._color = color
+
+    def stop(self) -> None:
+        """Stop the animation and clean up."""
+        self._stop_event.set()
+        if self._thread and self._thread.is_alive():
+            self._thread.join(timeout=1.0)
+        if self._live:
+            try:
+                self._live.stop()
+            except Exception:
+                pass
+            self._live = None
+        self._thread = None
+
+    def _animate(self) -> None:
+        """Animation loop -- runs in background thread."""
+        frame_idx = 0
+        while not self._stop_event.is_set():
+            if self._live:
+                try:
+                    self._live.update(self._render_frame(frame_idx))
+                except Exception:
+                    break
+            frame_idx = (frame_idx + 1) % len(_MIC_FRAMES)
+            self._stop_event.wait(0.12)
+
+    def _render_frame(self, idx: int) -> Text:
+        """Render a single animation frame."""
+        frame = Text()
+        frame.append("  🎙 ", style=f"bold {self._color}")
+        frame.append(_MIC_FRAMES[idx % len(_MIC_FRAMES)], style=self._color)
+        frame.append(f" {self._label}", style=f"bold {self._color}")
+        return frame
+
 
 class UI:
     """Terminal interface for Samantha.
@@ -50,6 +136,7 @@ class UI:
 
     def __init__(self) -> None:
         self.console = Console()
+        self.mic = MicAnimation(self.console)
 
     def show_welcome(self) -> None:
         """Display the startup banner."""

From d56a792ec74ac6faef34ef3899d5455bedfa3d34 Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 02:07:38 -0600
Subject: [PATCH 10/12] Separate conversation engine from UI with event-driven
 architecture

Extract conversation logic into engine.py with event bus (events.py),
allowing UI hot-reload without losing conversation state.
---
 samantha/cli.py    | 184 +++++---------------------------------
 samantha/engine.py | 217 +++++++++++++++++++++++++++++++++++++++++++++
 samantha/events.py | 146 ++++++++++++++++++++++++++++++
 samantha/ui.py     | 113 +++++++++++++++++++++++
 4 files changed, 496 insertions(+), 164 deletions(-)
 create mode 100644 samantha/engine.py
 create mode 100644 samantha/events.py

diff --git a/samantha/cli.py b/samantha/cli.py
index 882deb5..63a0ae3 100644
--- a/samantha/cli.py
+++ b/samantha/cli.py
@@ -13,6 +13,8 @@
 from samantha import __version__
 from samantha import config as cfg
 from samantha.brain import Brain
+from samantha.events import EventBus
+from samantha.engine import ConversationEngine
 from samantha.ui import UI, Status
 from samantha.voice import VoiceEngine, TTSError
 
@@ -236,7 +238,7 @@ def _check_import(module: str) -> bool:
 
 
 def _run_assistant(text_mode: bool = False, no_voice: bool = False, brain: Brain | None = None) -> None:
-    """Main conversation loop."""
+    """Main conversation loop -- wires the engine to the UI via events."""
     ui = UI()
     settings = cfg.load()
 
@@ -275,11 +277,27 @@ def _run_assistant(text_mode: bool = False, no_voice: bool = False, brain: Brain
     # Show active providers
     ui.show_info(f"TTS: {settings['tts_provider']} | STT: {settings['stt_provider']}")
 
+    # --- Set up event bus and engine ---
+    bus = EventBus()
+    ui.subscribe_to(bus)
+
+    # Text-mode input goes through the UI console
+    def _text_input() -> str:
+        return ui.console.input("  [bold cyan]You:[/bold cyan] ").strip()
+
+    engine = ConversationEngine(
+        brain=brain,
+        voice=voice,
+        bus=bus,
+        text_mode=text_mode,
+        input_fn=_text_input,
+    )
+
     # --- Start ---
     ui.show_welcome()
 
     try:
-        _conversation_loop(ui, brain, voice, text_mode)
+        engine.run()
     except (KeyboardInterrupt, EOFError):
         pass
     finally:
@@ -288,167 +306,5 @@ def _run_assistant(text_mode: bool = False, no_voice: bool = False, brain: Brain
         ui.show_goodbye()
 
 
-def _conversation_loop(
-    ui: UI,
-    brain: Brain,
-    voice: VoiceEngine,
-    text_mode: bool,
-) -> None:
-    """Run the listen-think-speak loop until interrupted."""
-    import time
-
-    # Wire up STT status callback to drive the mic animation
-    _phase_times: dict[str, float] = {}
-
-    def _on_stt_status(phase: str) -> None:
-        now = time.monotonic()
-        # Log timing of previous phase
-        if _phase_times.get("last_phase"):
-            prev = _phase_times["last_phase"]
-            elapsed = now - _phase_times.get("last_time", now)
-            ui.mic.stop()
-            ui.show_step(prev, elapsed)
-        _phase_times["last_phase"] = phase
-        _phase_times["last_time"] = now
-
-        if phase == "listening":
-            ui.mic.start("Listening...", "green")
-        elif phase == "hearing":
-            ui.mic.update_label("Hearing you...", "green")
-        elif phase in ("loading_model", "transcribing"):
-            ui.mic.stop()
-            ui.show_status(Status.TRANSCRIBING)
-        else:
-            ui.mic.start("Listening...", "green")
-
-    voice.stt.on_status = _on_stt_status
-
-    while True:
-        # --- 1. Get user input ---
-        if text_mode:
-            try:
-                user_input = ui.console.input("  [bold cyan]You:[/bold cyan] ").strip()
-            except EOFError:
-                break
-            if not user_input:
-                continue
-        else:
-            _phase_times.clear()
-            t0 = time.monotonic()
-            try:
-                user_input = voice.listen()
-            except KeyboardInterrupt:
-                ui.mic.stop()
-                break
-            except RuntimeError as e:
-                ui.mic.stop()
-                ui.show_error(str(e))
-                ui.show_info("Switching to text mode.")
-                text_mode = True
-                continue
-
-            ui.mic.stop()
-
-            # Show final phase timing
-            if _phase_times.get("last_phase"):
-                elapsed = time.monotonic() - _phase_times.get("last_time", t0)
-                ui.show_step(_phase_times["last_phase"], elapsed)
-
-            if user_input is None:
-                continue  # Silence or unrecognized -- keep listening
-
-            ui.show_user(user_input)
-
-        # --- Natural language commands ---
-        cmd = user_input.strip().lower()
-
-        # Exit
-        if cmd in ("exit", "quit", "bye", "goodbye", "stop", "/exit", "/q"):
-            break
-        exit_phrases = [
-            "gotta go", "got to go", "i'm out", "i'm done", "wrap up",
-            "talk later", "see you later", "see ya", "good night",
-            "signing off", "peace out", "catch you later", "bye samantha",
-            "bye bye", "that's all", "we're done", "samantha exit",
-            "samantha quit", "samantha bye",
-        ]
-        if any(cmd == phrase for phrase in exit_phrases):
-            break
-
-        # Clear conversation
-        if any(phrase in cmd for phrase in [
-            "forget everything", "start over", "clear the conversation",
-            "fresh start", "new conversation", "reset",
-        ]) or cmd in ("/clear", "/c"):
-            brain.history.clear()
-            brain._first_sent = False
-            brain._save_history()
-            ui.show_info("Conversation cleared.")
-            continue
-
-        # --- 2. Think ---
-        ui.show_status(Status.THINKING)
-        t0 = time.monotonic()
-        try:
-            response = brain.think(user_input)
-        except (RuntimeError, TimeoutError) as e:
-            ui.clear_status()
-            ui.show_error(str(e))
-            continue
-
-        think_time = time.monotonic() - t0
-        ui.clear_status()
-        ui.show_step("claude thinking", think_time)
-
-        # --- 3. Respond ---
-        # Show full Opus response if it was summarized
-        full = getattr(brain, '_full_response', response)
-        if full != response and len(full) > len(response):
-            from rich.text import Text
-            from rich.panel import Panel
-            ui.console.print(Panel(
-                Text(full, style="dim"),
-                title="[dim]Claude (Opus)[/]",
-                border_style="dim",
-                padding=(0, 1),
-            ))
-
-        if voice.tts_available and not text_mode:
-            # --- Generate audio ---
-            ui.show_status(Status.GENERATING)
-            t0 = time.monotonic()
-            try:
-                audio_path = voice.generate_audio(response)
-            except TTSError as e:
-                ui.clear_status()
-                ui.show_samantha(response)
-                ui.show_info(f"Voice output failed: {e}")
-                continue
-
-            gen_time = time.monotonic() - t0
-            ui.clear_status()
-            ui.show_step("voice generation", gen_time)
-
-            # --- Play audio ---
-            if audio_path:
-                ui.show_status(Status.SPEAKING)
-                import threading
-
-                player = threading.Thread(target=voice.play_audio, args=(audio_path,), daemon=True)
-                t0 = time.monotonic()
-                player.start()
-
-                ui.clear_status()
-                ui.show_samantha(response)
-
-                player.join()
-                play_time = time.monotonic() - t0
-                ui.show_step("playback", play_time)
-            else:
-                ui.show_samantha(response)
-        else:
-            ui.show_samantha(response)
-
-
 if __name__ == "__main__":
     main()
diff --git a/samantha/engine.py b/samantha/engine.py
new file mode 100644
index 0000000..a57fd8f
--- /dev/null
+++ b/samantha/engine.py
@@ -0,0 +1,217 @@
+"""Conversation engine -- the core loop decoupled from any UI.
+
+Owns the Brain and VoiceEngine, runs the listen-think-speak loop,
+and emits events for anything a UI layer might care about.
+The engine knows nothing about Rich, terminals, or display.
+"""
+
+from __future__ import annotations
+
+import time
+import threading
+from typing import Any
+
+from samantha.brain import Brain
+from samantha.voice import VoiceEngine, TTSError
+from samantha.events import (
+    EventBus,
+    ReadyForInput,
+    UserInput,
+    STTPhase,
+    ThinkingStarted,
+    ThinkingComplete,
+    GeneratingVoice,
+    VoiceGenerated,
+    SpeakingStarted,
+    SpeakingComplete,
+    ResponseReady,
+    ConversationCleared,
+    Error,
+    Info,
+    SessionExit,
+)
+
+
+# Natural-language exit commands
+_EXIT_WORDS = {"exit", "quit", "bye", "goodbye", "stop", "/exit", "/q"}
+_EXIT_PHRASES = [
+    "gotta go", "got to go", "i'm out", "i'm done", "wrap up",
+    "talk later", "see you later", "see ya", "good night",
+    "signing off", "peace out", "catch you later", "bye samantha",
+    "bye bye", "that's all", "we're done", "samantha exit",
+    "samantha quit", "samantha bye",
+]
+
+_CLEAR_PHRASES = [
+    "forget everything", "start over", "clear the conversation",
+    "fresh start", "new conversation", "reset",
+]
+_CLEAR_WORDS = {"/clear", "/c"}
+
+
+class ConversationEngine:
+    """Runs the conversation loop, emitting events instead of calling a UI.
+
+    Usage:
+        bus = EventBus()
+        engine = ConversationEngine(brain, voice, bus, text_mode=False)
+        # subscribe UI handlers to bus ...
+        engine.run()   # blocks until exit
+    """
+
+    def __init__(
+        self,
+        brain: Brain,
+        voice: VoiceEngine,
+        bus: EventBus,
+        text_mode: bool = False,
+        input_fn=None,
+    ) -> None:
+        self.brain = brain
+        self.voice = voice
+        self.bus = bus
+        self.text_mode = text_mode
+        self._input_fn = input_fn  # callable that returns str (for text mode)
+        self._running = False
+
+    def run(self) -> None:
+        """Block on the listen-think-speak loop until exit."""
+        self._running = True
+        phase_times: dict[str, float] = {}
+
+        # Wire STT status callback
+        def _on_stt_status(phase: str) -> None:
+            now = time.monotonic()
+            if phase_times.get("last_phase"):
+                prev = phase_times["last_phase"]
+                elapsed = now - phase_times.get("last_time", now)
+                self.bus.emit(STTPhase(phase=prev, elapsed=elapsed))
+            phase_times["last_phase"] = phase
+            phase_times["last_time"] = now
+            # Emit current phase with zero elapsed (it just started)
+            self.bus.emit(STTPhase(phase=phase, elapsed=0.0))
+
+        self.voice.stt.on_status = _on_stt_status
+
+        while self._running:
+            # --- 1. Get user input ---
+            user_input = self._get_input(phase_times)
+            if user_input is None:
+                continue  # silence or empty
+
+            self.bus.emit(UserInput(text=user_input))
+
+            # --- Check for commands ---
+            cmd = user_input.strip().lower()
+
+            if cmd in _EXIT_WORDS or any(cmd == p for p in _EXIT_PHRASES):
+                self.bus.emit(SessionExit())
+                break
+
+            if cmd in _CLEAR_WORDS or any(p in cmd for p in _CLEAR_PHRASES):
+                self.brain.history.clear()
+                self.brain._first_sent = False
+                self.brain._save_history()
+                self.bus.emit(ConversationCleared())
+                continue
+
+            # --- 2. Think ---
+            self.bus.emit(ThinkingStarted())
+            t0 = time.monotonic()
+            try:
+                response = self.brain.think(user_input)
+            except (RuntimeError, TimeoutError) as e:
+                self.bus.emit(Error(message=str(e)))
+                continue
+
+            think_time = time.monotonic() - t0
+            full_response = getattr(self.brain, "_full_response", response)
+            self.bus.emit(ThinkingComplete(
+                response=response,
+                full_response=full_response,
+                elapsed=think_time,
+            ))
+
+            # --- 3. Respond ---
+            if self.voice.tts_available and not self.text_mode:
+                self._respond_with_voice(response, full_response)
+            else:
+                self.bus.emit(ResponseReady(
+                    response=response,
+                    full_response=full_response,
+                ))
+
+    def stop(self) -> None:
+        """Signal the engine to stop after the current iteration."""
+        self._running = False
+
+    # --- Private helpers ---
+
+    def _get_input(self, phase_times: dict[str, float]) -> str | None:
+        """Get input from text or voice, emitting appropriate events."""
+        if self.text_mode:
+            self.bus.emit(ReadyForInput(text_mode=True))
+            try:
+                text = self._input_fn() if self._input_fn else input("You: ")
+                return text.strip() or None
+            except EOFError:
+                self.bus.emit(SessionExit())
+                self._running = False
+                return None
+        else:
+            phase_times.clear()
+            self.bus.emit(ReadyForInput(text_mode=False))
+            try:
+                user_input = self.voice.listen()
+            except KeyboardInterrupt:
+                self.bus.emit(SessionExit())
+                self._running = False
+                return None
+            except RuntimeError as e:
+                self.bus.emit(Error(message=str(e)))
+                self.bus.emit(Info(message="Switching to text mode."))
+                self.text_mode = True
+                return None
+
+            # Emit final phase timing
+            if phase_times.get("last_phase"):
+                elapsed = time.monotonic() - phase_times.get("last_time", 0)
+                self.bus.emit(STTPhase(
+                    phase=phase_times["last_phase"],
+                    elapsed=elapsed,
+                ))
+
+            return user_input
+
+    def _respond_with_voice(self, response: str, full_response: str) -> None:
+        """Generate TTS and play audio, emitting events along the way."""
+        # Generate
+        self.bus.emit(GeneratingVoice())
+        t0 = time.monotonic()
+        try:
+            audio_path = self.voice.generate_audio(response)
+        except TTSError as e:
+            self.bus.emit(ResponseReady(response=response, full_response=full_response))
+            self.bus.emit(Info(message=f"Voice output failed: {e}"))
+            return
+
+        gen_time = time.monotonic() - t0
+        self.bus.emit(VoiceGenerated(path=audio_path or "", elapsed=gen_time))
+
+        # Play
+        if audio_path:
+            self.bus.emit(SpeakingStarted())
+            t0 = time.monotonic()
+            player = threading.Thread(
+                target=self.voice.play_audio, args=(audio_path,), daemon=True,
+            )
+            player.start()
+
+            # Emit response for display while audio plays
+            self.bus.emit(ResponseReady(response=response, full_response=full_response))
+
+            player.join()
+            play_time = time.monotonic() - t0
+            self.bus.emit(SpeakingComplete(response=response, elapsed=play_time))
+        else:
+            self.bus.emit(ResponseReady(response=response, full_response=full_response))
diff --git a/samantha/events.py b/samantha/events.py
new file mode 100644
index 0000000..871040a
--- /dev/null
+++ b/samantha/events.py
@@ -0,0 +1,146 @@
+"""Event system for decoupling the conversation engine from the UI.
+
+The engine emits events, the UI subscribes to them. This lets you
+swap, reload, or detach the UI without touching the conversation state.
+"""
+
+from __future__ import annotations
+
+from dataclasses import dataclass, field
+from typing import Any, Callable
+
+
+# --- Event types ---
+
+@dataclass
+class Event:
+    """Base event."""
+
+
+@dataclass
+class ReadyForInput(Event):
+    """Engine is ready to accept user input."""
+    text_mode: bool = False
+
+
+@dataclass
+class UserInput(Event):
+    """User said or typed something."""
+    text: str = ""
+
+
+@dataclass
+class STTPhase(Event):
+    """Speech-to-text phase change (listening, hearing, transcribing)."""
+    phase: str = ""
+    elapsed: float = 0.0
+
+
+@dataclass
+class ThinkingStarted(Event):
+    """Claude is processing."""
+
+
+@dataclass
+class ThinkingComplete(Event):
+    """Claude finished thinking."""
+    response: str = ""
+    full_response: str = ""
+    elapsed: float = 0.0
+
+
+@dataclass
+class GeneratingVoice(Event):
+    """TTS is generating audio."""
+
+
+@dataclass
+class VoiceGenerated(Event):
+    """TTS finished generating audio."""
+    path: str = ""
+    elapsed: float = 0.0
+
+
+@dataclass
+class SpeakingStarted(Event):
+    """Audio playback started."""
+
+
+@dataclass
+class SpeakingComplete(Event):
+    """Audio playback finished."""
+    response: str = ""
+    elapsed: float = 0.0
+
+
+@dataclass
+class ResponseReady(Event):
+    """Final response ready to display (text-only or after voice)."""
+    response: str = ""
+    full_response: str = ""
+
+
+@dataclass
+class ConversationCleared(Event):
+    """History was reset."""
+
+
+@dataclass
+class Error(Event):
+    """Something went wrong."""
+    message: str = ""
+
+
+@dataclass
+class Info(Event):
+    """Informational message."""
+    message: str = ""
+
+
+@dataclass
+class SessionExit(Event):
+    """User is exiting."""
+
+
+# --- Event Bus ---
+
+EventHandler = Callable[[Event], None]
+
+
+class EventBus:
+    """Simple pub/sub event bus.
+
+    Handlers are called synchronously in registration order.
+    Subscribe to a specific event type or to Event for everything.
+    """
+
+    def __init__(self) -> None:
+        self._handlers: dict[type, list[EventHandler]] = {}
+
+    def subscribe(self, event_type: type, handler: EventHandler) -> None:
+        """Register a handler for an event type."""
+        self._handlers.setdefault(event_type, []).append(handler)
+
+    def unsubscribe(self, event_type: type, handler: EventHandler) -> None:
+        """Remove a handler."""
+        handlers = self._handlers.get(event_type, [])
+        if handler in handlers:
+            handlers.remove(handler)
+
+    def unsubscribe_all(self) -> None:
+        """Remove all handlers. Used when hot-reloading the UI."""
+        self._handlers.clear()
+
+    def emit(self, event: Event) -> None:
+        """Dispatch an event to all matching handlers.
+
+        Handlers registered for the exact event type are called first,
+        then handlers registered for the base Event class.
+        """
+        event_type = type(event)
+        for handler in self._handlers.get(event_type, []):
+            handler(event)
+        # Also fire catch-all handlers registered on Event
+        if event_type is not Event:
+            for handler in self._handlers.get(Event, []):
+                handler(event)
diff --git a/samantha/ui.py b/samantha/ui.py
index 386bb1f..cb047e2 100644
--- a/samantha/ui.py
+++ b/samantha/ui.py
@@ -2,6 +2,9 @@
 
 Provides a clean, minimal display with status indicators
 and a scrolling conversation transcript.
+
+The UI can subscribe to an EventBus to receive events from
+the ConversationEngine, keeping display fully decoupled from logic.
 """
 
 from __future__ import annotations
@@ -15,6 +18,25 @@
 from rich.panel import Panel
 from rich.text import Text
 
+from samantha.events import (
+    EventBus,
+    Event,
+    ReadyForInput,
+    UserInput,
+    STTPhase,
+    ThinkingStarted,
+    ThinkingComplete,
+    GeneratingVoice,
+    VoiceGenerated,
+    SpeakingStarted,
+    SpeakingComplete,
+    ResponseReady,
+    ConversationCleared,
+    Error,
+    Info,
+    SessionExit,
+)
+
 
 class Status(Enum):
     """Visual states for the UI."""
@@ -232,3 +254,94 @@ def clear_status(self) -> None:
         """Move cursor up to overwrite the last status line."""
         # Move up one line and clear it
         self.console.print("\033[A\033[2K", end="")
+
+    # --- Event bus integration ---
+
+    def subscribe_to(self, bus: EventBus) -> None:
+        """Wire this UI up to an EventBus so it reacts to engine events.
+
+        Call bus.unsubscribe_all() then ui.subscribe_to(bus) to hot-reload.
+        """
+        self._bus = bus
+
+        bus.subscribe(STTPhase, self._on_stt_phase)
+        bus.subscribe(UserInput, self._on_user_input)
+        bus.subscribe(ThinkingStarted, self._on_thinking_started)
+        bus.subscribe(ThinkingComplete, self._on_thinking_complete)
+        bus.subscribe(GeneratingVoice, self._on_generating_voice)
+        bus.subscribe(VoiceGenerated, self._on_voice_generated)
+        bus.subscribe(SpeakingStarted, self._on_speaking_started)
+        bus.subscribe(SpeakingComplete, self._on_speaking_complete)
+        bus.subscribe(ResponseReady, self._on_response_ready)
+        bus.subscribe(ConversationCleared, self._on_cleared)
+        bus.subscribe(Error, self._on_error)
+        bus.subscribe(Info, self._on_info)
+
+    def _on_stt_phase(self, event: STTPhase) -> None:
+        """Handle STT phase transitions (listening, hearing, transcribing)."""
+        phase = event.phase
+        elapsed = event.elapsed
+
+        # If there's timing from a previous phase, show it
+        if elapsed > 0:
+            self.mic.stop()
+            self.show_step(phase, elapsed)
+            return
+
+        # Drive the mic animation for current phase
+        if phase == "listening":
+            self.mic.start("Listening...", "green")
+        elif phase == "hearing":
+            self.mic.update_label("Hearing you...", "green")
+        elif phase in ("loading_model", "transcribing"):
+            self.mic.stop()
+            self.show_status(Status.TRANSCRIBING)
+        else:
+            self.mic.start("Listening...", "green")
+
+    def _on_user_input(self, event: UserInput) -> None:
+        self.mic.stop()
+        self.show_user(event.text)
+
+    def _on_thinking_started(self, event: ThinkingStarted) -> None:
+        self.show_status(Status.THINKING)
+
+    def _on_thinking_complete(self, event: ThinkingComplete) -> None:
+        self.clear_status()
+        self.show_step("claude thinking", event.elapsed)
+
+        # Show full Opus response if it was summarized
+        if event.full_response != event.response and len(event.full_response) > len(event.response):
+            self.console.print(Panel(
+                Text(event.full_response, style="dim"),
+                title="[dim]Claude (Opus)[/]",
+                border_style="dim",
+                padding=(0, 1),
+            ))
+
+    def _on_generating_voice(self, event: GeneratingVoice) -> None:
+        self.show_status(Status.GENERATING)
+
+    def _on_voice_generated(self, event: VoiceGenerated) -> None:
+        self.clear_status()
+        self.show_step("voice generation", event.elapsed)
+
+    def _on_speaking_started(self, event: SpeakingStarted) -> None:
+        self.show_status(Status.SPEAKING)
+
+    def _on_speaking_complete(self, event: SpeakingComplete) -> None:
+        self.show_step("playback", event.elapsed)
+
+    def _on_response_ready(self, event: ResponseReady) -> None:
+        self.clear_status()
+        self.show_samantha(event.response)
+
+    def _on_cleared(self, event: ConversationCleared) -> None:
+        self.show_info("Conversation cleared.")
+
+    def _on_error(self, event: Error) -> None:
+        self.mic.stop()
+        self.show_error(event.message)
+
+    def _on_info(self, event: Info) -> None:
+        self.show_info(event.message)

From edcaee936c5cb79a01a993a9df9cff0eb45d715a Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 02:28:46 -0600
Subject: [PATCH 11/12] Switch default STT to Whisper (local) and add live mic
 level visualization

Default STT provider is now Whisper instead of Google, completing
the move to fully local providers (Kokoro TTS was already default).
No API keys needed out of the box.

Also adds real-time mic level tracking with smooth waveform animation
that responds to actual voice input, replacing the static looping frames.
The mic animation now shows idle breathing dots when waiting and a
live level-driven waveform when speech is detected.
---
 CLAUDE.md               |  22 ++++---
 samantha/config.py      |   2 +-
 samantha/engine.py      |   5 ++
 samantha/events.py      |   6 ++
 samantha/stt/base.py    | 129 +++++++++++++++++++++++++++++++++++++++-
 samantha/stt/whisper.py |   7 ++-
 samantha/ui.py          |  91 +++++++++++++++++++++-------
 7 files changed, 230 insertions(+), 32 deletions(-)

diff --git a/CLAUDE.md b/CLAUDE.md
index 738fce6..dac5efb 100644
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -4,7 +4,8 @@
 A voice wrapper around Claude Code. You speak, Claude thinks, Samantha's voice responds. Same Claude brain, same tools, same Max subscription - just with a voice and personality inspired by the AI from Her (2013).
 
 ## API Keys Needed
-- **Fish Audio API key** — for Samantha's voice (TTS). Get one at https://fish.audio/app/api-keys
+- **NO API keys needed by default** — STT (Whisper) and TTS (Kokoro) both run locally
+- **Optional: Fish Audio API key** — only if you switch to Fish Audio TTS for a custom voice clone. Get one at https://fish.audio/app/api-keys
 - **NO Anthropic API key needed** — this uses `claude -p` (Claude CLI) which runs on your Claude Max/Pro subscription. Zero API cost.
 
 ## First-Time Setup
@@ -14,35 +15,38 @@ If this is the user's first time, walk them through setup step by step:
 2. **Check Python**: Need Python 3.10+. Run `python3 --version`.
 3. **Install portaudio** (needed for mic): `brew install portaudio` (Mac) or `apt install portaudio19-dev` (Linux)
 4. **Install the package**: `pip install -e .`
-5. **Set Fish Audio key**: `export FISH_API_KEY=your_key` or run `samantha config`
-6. **Test it**: Run `samantha --text` first to verify Claude + TTS works without needing a mic
-7. **Go voice**: Run `samantha` for full voice mode
+5. **Test it**: Run `samantha --text` first to verify Claude + TTS works without needing a mic
+6. **Go voice**: Run `samantha` for full voice mode
 
 ## How to Check if Already Set Up
-- Run `samantha config` — shows current config. If `fish_api_key` is set → ready to go
+- Run `samantha config` — shows current config
 - Config file lives at `~/.samantha/config.yaml`
 - If `claude` CLI is not installed → tell them to install Claude Code first
 - **They do NOT need an Anthropic API key** — `claude -p` uses their existing Claude subscription
 
 ## How It Works
 ```
-Your voice → SpeechRecognition (Google free STT) → claude -p (Claude Max) → Fish Audio TTS → Samantha's voice
+Your voice → Whisper (local STT) → claude -p (Claude Max) → Kokoro TTS (local) → Samantha's voice
 ```
 
 - `samantha/cli.py` — Main entry point, Click CLI
-- `samantha/voice.py` — Mic capture (SpeechRecognition) + TTS (Fish Audio with Samantha voice model)
+- `samantha/voice.py` — Mic capture + TTS playback (provider-agnostic)
 - `samantha/brain.py` — Wraps `claude -p` subprocess, builds prompts with personality
 - `samantha/personality.py` — The Samantha persona prompt
 - `samantha/config.py` — Manages `~/.samantha/config.yaml`
 - `samantha/ui.py` — Rich terminal display with colored status indicators
+- `samantha/stt/` — STT providers: Whisper (default, local), Google (free cloud)
+- `samantha/tts/` — TTS providers: Kokoro (default, local), Edge (free cloud), Fish Audio (paid cloud)
 
 ## Key Details
-- Voice model: Fish Audio `474887f7949b4d1ab3e626cddf82613a` (OS1 Samantha / Scarlett Johansson from Her)
+- Default STT: Whisper (local, runs on device, no API key needed)
+- Default TTS: Kokoro (local ONNX model, voice `af_heart`, no API key needed)
+- Optional TTS: Fish Audio with voice model `474887f7949b4d1ab3e626cddf82613a` (paid, ~$1.25/hr of speech)
 - Speech speed: 0.95x (configurable)
 - Claude is called via `claude -p` with stdin, uses the user's Max subscription (zero API cost)
 - Conversation history maintained in memory (last 10 exchanges)
 - Phrase time limit: 30 seconds (configurable)
-- All processing is local except: Google STT (free), Fish Audio TTS (paid, ~$1.25/hr of speech)
+- All processing runs locally by default — no cloud APIs needed beyond Claude itself
 
 ## Commands
 - `samantha` — Full voice mode (speak + hear)
diff --git a/samantha/config.py b/samantha/config.py
index e8b0d29..af38aae 100644
--- a/samantha/config.py
+++ b/samantha/config.py
@@ -24,7 +24,7 @@
     "speech_speed": 0.95,
 
     # STT settings
-    "stt_provider": "google",
+    "stt_provider": "whisper",
     "whisper_model": "base",
 
     # Fish Audio (only when tts_provider == "fish")
diff --git a/samantha/engine.py b/samantha/engine.py
index a57fd8f..0acf00c 100644
--- a/samantha/engine.py
+++ b/samantha/engine.py
@@ -18,6 +18,7 @@
     ReadyForInput,
     UserInput,
     STTPhase,
+    MicLevel,
     ThinkingStarted,
     ThinkingComplete,
     GeneratingVoice,
@@ -91,7 +92,11 @@ def _on_stt_status(phase: str) -> None:
             # Emit current phase with zero elapsed (it just started)
             self.bus.emit(STTPhase(phase=phase, elapsed=0.0))
 
+        def _on_stt_level(level: float) -> None:
+            self.bus.emit(MicLevel(level=level))
+
         self.voice.stt.on_status = _on_stt_status
+        self.voice.stt.on_level = _on_stt_level
 
         while self._running:
             # --- 1. Get user input ---
diff --git a/samantha/events.py b/samantha/events.py
index 871040a..1d82286 100644
--- a/samantha/events.py
+++ b/samantha/events.py
@@ -36,6 +36,12 @@ class STTPhase(Event):
     elapsed: float = 0.0
 
 
+@dataclass
+class MicLevel(Event):
+    """Live microphone input level while listening."""
+    level: float = 0.0
+
+
 @dataclass
 class ThinkingStarted(Event):
     """Claude is processing."""
diff --git a/samantha/stt/base.py b/samantha/stt/base.py
index 3d6fbbe..2541dde 100644
--- a/samantha/stt/base.py
+++ b/samantha/stt/base.py
@@ -2,12 +2,139 @@
 
 from __future__ import annotations
 
-from typing import Protocol
+import audioop
+import collections
+import math
+from typing import Callable, Protocol
+
+
+def _normalize_audio_level(energy: float, threshold: float) -> float:
+    """Map raw RMS energy to a stable 0..1 display range."""
+    floor = max(threshold * 0.15, 1.0)
+    ceiling = max(threshold * 2.5, floor + 1.0)
+    level = (energy - floor) / (ceiling - floor)
+    return max(0.0, min(level, 1.0))
+
+
+def listen_with_activity(
+    recognizer,
+    source,
+    timeout: int = 10,
+    phrase_time_limit: int = 30,
+    on_status: Callable[[str], None] | None = None,
+    on_level: Callable[[float], None] | None = None,
+):
+    """Listen for a phrase while emitting real-time mic levels and onset events."""
+    import speech_recognition as sr
+
+    seconds_per_buffer = float(source.CHUNK) / source.SAMPLE_RATE
+    pause_buffer_count = int(math.ceil(recognizer.pause_threshold / seconds_per_buffer))
+    phrase_buffer_count = int(math.ceil(recognizer.phrase_threshold / seconds_per_buffer))
+    non_speaking_buffer_count = int(
+        math.ceil(recognizer.non_speaking_duration / seconds_per_buffer)
+    )
+
+    elapsed_time = 0.0
+    buffer = b""
+    pause_count = 0
+
+    if on_level:
+        on_level(0.0)
+
+    while True:
+        frames = collections.deque()
+
+        while True:
+            elapsed_time += seconds_per_buffer
+            if timeout is not None and elapsed_time > timeout:
+                raise sr.WaitTimeoutError("listening timed out while waiting for phrase to start")
+
+            buffer = source.stream.read(source.CHUNK)
+            if len(buffer) == 0:
+                break
+
+            frames.append(buffer)
+            if len(frames) > non_speaking_buffer_count:
+                frames.popleft()
+
+            energy = audioop.rms(buffer, source.SAMPLE_WIDTH)
+            if on_level:
+                on_level(_normalize_audio_level(energy, recognizer.energy_threshold))
+
+            if energy > recognizer.energy_threshold:
+                if on_status:
+                    on_status("hearing")
+                break
+
+            if recognizer.dynamic_energy_threshold:
+                damping = recognizer.dynamic_energy_adjustment_damping ** seconds_per_buffer
+                target_energy = energy * recognizer.dynamic_energy_ratio
+                recognizer.energy_threshold = (
+                    recognizer.energy_threshold * damping
+                    + target_energy * (1 - damping)
+                )
+
+        pause_count = 0
+        phrase_count = 0
+        phrase_start_time = elapsed_time
+
+        while True:
+            elapsed_time += seconds_per_buffer
+            if (
+                phrase_time_limit is not None
+                and elapsed_time - phrase_start_time > phrase_time_limit
+            ):
+                break
+
+            buffer = source.stream.read(source.CHUNK)
+            if len(buffer) == 0:
+                break
+
+            frames.append(buffer)
+            phrase_count += 1
+
+            energy = audioop.rms(buffer, source.SAMPLE_WIDTH)
+            if on_level:
+                on_level(_normalize_audio_level(energy, recognizer.energy_threshold))
+
+            if energy > recognizer.energy_threshold:
+                pause_count = 0
+            else:
+                pause_count += 1
+
+            if pause_count > pause_buffer_count:
+                break
+
+            if recognizer.dynamic_energy_threshold:
+                damping = recognizer.dynamic_energy_adjustment_damping ** seconds_per_buffer
+                target_energy = energy * recognizer.dynamic_energy_ratio
+                recognizer.energy_threshold = (
+                    recognizer.energy_threshold * damping
+                    + target_energy * (1 - damping)
+                )
+
+        phrase_count -= pause_count
+        if phrase_count >= phrase_buffer_count or len(buffer) == 0:
+            break
+
+        if on_status:
+            on_status("listening")
+
+    for _ in range(max(0, pause_count - non_speaking_buffer_count)):
+        frames.pop()
+
+    if on_level:
+        on_level(0.0)
+
+    return sr.AudioData(b"".join(frames), source.SAMPLE_RATE, source.SAMPLE_WIDTH)
 
 
 class STTProvider(Protocol):
     """Interface that all STT backends must implement."""
 
+    on_status: Callable[[str], None] | None
+    on_level: Callable[[float], None] | None
+
     def transcribe(self, timeout: int, phrase_time_limit: int) -> str | None:
         """Listen on the microphone and return transcribed text.
 
diff --git a/samantha/stt/whisper.py b/samantha/stt/whisper.py
index 5b252f7..6e8d2bc 100644
--- a/samantha/stt/whisper.py
+++ b/samantha/stt/whisper.py
@@ -6,6 +6,7 @@
 from pathlib import Path
 from typing import Callable
 
+from samantha.stt.base import listen_with_activity
 from samantha.stt.google import _default_mic_index
 
 
@@ -17,6 +18,7 @@ def __init__(self, model_size: str = "base", language: str = "en") -> None:
         self.language = language.split("-")[0]  # "en-US" -> "en"
         self._model = None
         self.on_status: Callable[[str], None] | None = None
+        self.on_level: Callable[[float], None] | None = None
 
     def _init_model(self):
         if self._model is not None:
@@ -45,10 +47,13 @@ def transcribe(self, timeout: int = 10, phrase_time_limit: int = 30) -> str | No
         try:
             with sr.Microphone(device_index=_default_mic_index()) as source:
                 recognizer.adjust_for_ambient_noise(source, duration=0.5)
-                audio = recognizer.listen(
+                audio = listen_with_activity(
+                    recognizer,
                     source,
                     timeout=timeout,
                     phrase_time_limit=phrase_time_limit,
+                    on_status=self.on_status,
+                    on_level=self.on_level,
                 )
         except sr.WaitTimeoutError:
             return None
diff --git a/samantha/ui.py b/samantha/ui.py
index cb047e2..9b9b3ba 100644
--- a/samantha/ui.py
+++ b/samantha/ui.py
@@ -9,6 +9,7 @@
 
 from __future__ import annotations
 
+import math
 import threading
 import time
 from enum import Enum
@@ -24,6 +25,7 @@
     ReadyForInput,
     UserInput,
     STTPhase,
+    MicLevel,
     ThinkingStarted,
     ThinkingComplete,
     GeneratingVoice,
@@ -64,22 +66,30 @@ class Status(Enum):
     Status.ERROR:        ("red",       "Error",               "bold red"),
 }
 
-# Mic animation frames -- vertical bars that pulse like an audio waveform
-_MIC_FRAMES = [
-    "  ▁ ▃ ▅ ▇ ▅ ▃ ▁  ",
-    "  ▂ ▅ ▇ ▅ ▃ ▁ ▂  ",
-    "  ▃ ▇ ▅ ▃ ▁ ▂ ▃  ",
-    "  ▅ ▅ ▃ ▁ ▂ ▃ ▅  ",
-    "  ▇ ▃ ▁ ▂ ▃ ▅ ▇  ",
-    "  ▅ ▁ ▂ ▃ ▅ ▇ ▅  ",
-    "  ▃ ▂ ▃ ▅ ▇ ▅ ▃  ",
-    "  ▁ ▃ ▅ ▇ ▅ ▃ ▁  ",
-    "  ▂ ▁ ▇ ▅ ▇ ▁ ▂  ",
-    "  ▃ ▅ ▃ ▇ ▃ ▅ ▃  ",
-    "  ▅ ▇ ▁ ▅ ▁ ▇ ▅  ",
-    "  ▇ ▅ ▃ ▃ ▃ ▅ ▇  ",
+# Idle mic frames -- very subtle breathing dot, barely moving.
+# Shows "I'm listening" without looking like you're talking.
+_MIC_FRAMES_IDLE = [
+    "  · · · ▁ · · ·  ",
+    "  · · ▁ ▁ ▁ · ·  ",
+    "  · · ▁ ▂ ▁ · ·  ",
+    "  · · ▁ ▁ ▁ · ·  ",
 ]
 
+# Active mic frames -- lively waveform for when speech is detected.
+_MIC_FRAMES_ACTIVE = [
+    "  ▁ ▂ ▃ ▅ ▃ ▂ ▁  ",
+    "  ▁ ▃ ▅ ▅ ▅ ▃ ▁  ",
+    "  ▂ ▃ ▅ ▇ ▅ ▃ ▂  ",
+    "  ▃ ▅ ▇ ▇ ▇ ▅ ▃  ",
+    "  ▅ ▅ ▇ ▇ ▇ ▅ ▅  ",
+    "  ▃ ▅ ▇ ▇ ▇ ▅ ▃  ",
+    "  ▂ ▃ ▅ ▇ ▅ ▃ ▂  ",
+    "  ▁ ▃ ▅ ▅ ▅ ▃ ▁  ",
+]
+
+_MIC_BARS = ("·", "▁", "▂", "▃", "▄", "▅", "▆", "▇")
+_MIC_PROFILE = (0.35, 0.6, 0.85, 1.0, 0.85, 0.6, 0.35)
+
 
 class MicAnimation:
     """Animated microphone indicator that runs in a background thread."""
@@ -91,23 +101,37 @@ def __init__(self, console: Console) -> None:
         self._stop_event = threading.Event()
         self._label = "Listening..."
         self._color = "green"
+        self._active = False  # idle vs active (speech detected)
+        self._level = 0.0
+        self._display_level = 0.0
 
     def start(self, label: str = "Listening...", color: str = "green") -> None:
-        """Start the mic animation."""
+        """Start the mic animation in idle mode."""
         self.stop()  # Clean up any previous animation
         self._label = label
         self._color = color
+        self._active = False
+        self._level = 0.0
+        self._display_level = 0.0
         self._stop_event.clear()
         self._live = Live(
             self._render_frame(0),
             console=self._console,
-            refresh_per_second=10,
+            refresh_per_second=12,
             transient=True,
         )
         self._live.start()
         self._thread = threading.Thread(target=self._animate, daemon=True)
         self._thread.start()
 
+    def set_active(self, active: bool = True) -> None:
+        """Switch between idle (waiting) and active (hearing speech) animation."""
+        self._active = active
+
+    def set_level(self, level: float) -> None:
+        """Update the live microphone level."""
+        self._level = max(0.0, min(level, 1.0))
+
     def update_label(self, label: str, color: str | None = None) -> None:
         """Update the label text without restarting the animation."""
         self._label = label
@@ -131,22 +155,44 @@ def _animate(self) -> None:
         """Animation loop -- runs in background thread."""
         frame_idx = 0
         while not self._stop_event.is_set():
+            target = self._level
+            if target >= self._display_level:
+                self._display_level += (target - self._display_level) * 0.65
+            else:
+                self._display_level += (target - self._display_level) * 0.3
+
             if self._live:
                 try:
                     self._live.update(self._render_frame(frame_idx))
                 except Exception:
                     break
-            frame_idx = (frame_idx + 1) % len(_MIC_FRAMES)
-            self._stop_event.wait(0.12)
+            frame_idx += 1
+            interval = 0.08 if self._active or self._display_level > 0.05 else 0.25
+            self._stop_event.wait(interval)
 
     def _render_frame(self, idx: int) -> Text:
         """Render a single animation frame."""
+        if self._active or self._display_level > 0.05:
+            waveform = self._render_live_wave()
+        else:
+            frames = _MIC_FRAMES_IDLE
+            waveform = frames[idx % len(frames)]
+
         frame = Text()
         frame.append("  🎙 ", style=f"bold {self._color}")
-        frame.append(_MIC_FRAMES[idx % len(_MIC_FRAMES)], style=self._color)
+        frame.append(waveform, style=self._color)
         frame.append(f" {self._label}", style=f"bold {self._color}")
         return frame
 
+    def _render_live_wave(self) -> str:
+        """Render a waveform whose height tracks the measured mic level."""
+        bars = []
+        for weight in _MIC_PROFILE:
+            scaled = self._display_level * weight
+            idx = min(len(_MIC_BARS) - 1, max(0, math.ceil(scaled * (len(_MIC_BARS) - 1))))
+            bars.append(_MIC_BARS[idx])
+        return f"  {' '.join(bars)}  "
+
 
 class UI:
     """Terminal interface for Samantha.
@@ -265,6 +311,7 @@ def subscribe_to(self, bus: EventBus) -> None:
         self._bus = bus
 
         bus.subscribe(STTPhase, self._on_stt_phase)
+        bus.subscribe(MicLevel, self._on_mic_level)
         bus.subscribe(UserInput, self._on_user_input)
         bus.subscribe(ThinkingStarted, self._on_thinking_started)
         bus.subscribe(ThinkingComplete, self._on_thinking_complete)
@@ -292,13 +339,17 @@ def _on_stt_phase(self, event: STTPhase) -> None:
         if phase == "listening":
             self.mic.start("Listening...", "green")
         elif phase == "hearing":
-            self.mic.update_label("Hearing you...", "green")
+            self.mic.start("Hearing you...", "green")
+            self.mic.set_active(True)
         elif phase in ("loading_model", "transcribing"):
             self.mic.stop()
             self.show_status(Status.TRANSCRIBING)
         else:
             self.mic.start("Listening...", "green")
 
+    def _on_mic_level(self, event: MicLevel) -> None:
+        self.mic.set_level(event.level)
+
     def _on_user_input(self, event: UserInput) -> None:
         self.mic.stop()
         self.show_user(event.text)

From 6c33497463e6d78fbab1c4eb9dd0b6a3db753b47 Mon Sep 17 00:00:00 2001
From: lancekrogers <lancekrogers@gmail.com>
Date: Mon, 16 Mar 2026 02:38:33 -0600
Subject: [PATCH 12/12] Update

---
 samantha/ui.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/samantha/ui.py b/samantha/ui.py
index 9b9b3ba..b9a0c71 100644
--- a/samantha/ui.py
+++ b/samantha/ui.py
@@ -331,6 +331,8 @@ def _on_stt_phase(self, event: STTPhase) -> None:
 
         # If there's timing from a previous phase, show it
         if elapsed > 0:
+            if phase in ("listening", "hearing"):
+                return
             self.mic.stop()
             self.show_step(phase, elapsed)
             return