Add RoomKitAssistantServer implementation

Concrete implementation of AssistantServerBase using RoomKit's voice
pipeline while reusing EVA's AgenticSystem, AuditLog, and ToolExecutor
for LLM reasoning.

Architecture:
- TwilioWebSocketBackend (from roomkit.voice.backends.twilio_ws)
  bridges EVA's Twilio WebSocket protocol to RoomKit's VoiceChannel
- RoomKit VoiceChannel handles STT (Deepgram), TTS (ElevenLabs), VAD
- RoomKit WavFileRecorder with ALL mode for audio output
  (inbound + outbound + mixed WAV files)
- RoomKit hooks produce framework_logs.jsonl events
- EVA's AgenticSystem handles LLM reasoning + tool calling unchanged
- Dedicated write queue for full-duplex WebSocket audio

Tested end-to-end: full conversations with correct metrics,
clean audio recordings, user_behavioral_fidelity = 1.0.

Usage: EVA_FRAMEWORK=roomkit EVA_MODEL__STT=deepgram \
       EVA_MODEL__TTS=elevenlabs python main.py --debug

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

Author: sboily

pyproject.toml

@@ -19,27 +19,19 @@ readme = "README.md"
 requires-python = ">=3.11,<3.14"
 license = "MIT"
 dependencies = [
+    # --- Core (framework-agnostic) ---
     "pydantic>=2.0",
     "pydantic-settings>=2.0",
-    "pipecat-ai==0.0.104",
     "elevenlabs>=1.0.0",
     "openai>=1.0.0",
     "anthropic>=0.83.0",
     "litellm>=1.30.0",
-    "deepgram-sdk>=3.5.0",
-    "onnxruntime>=1.16.0",
     "aioboto3>=12.0.0",
     "google-generativeai>=0.3.0",
     "google-genai>=0.3.0",
-    "google-cloud-speech>=2.0.0",
-    "google-cloud-texttospeech>=2.0.0",
-    "azure-cognitiveservices-speech>=1.31.0",
-    "cartesia>=1.0.0",
-    "assemblyai>=0.17.0",
     "setuptools>=65.0.0",
     "fastapi>=0.100.0",
     "uvicorn>=0.23.0",
-    "websockets>=12.0",
     "httpx>=0.25.0",
     "pyyaml>=6.0",
     "pandas>=2.0",
@@ -54,12 +46,27 @@ dependencies = [
     "jaconv>=0.3.0",
     "regex>=2023.0.0",
     "more-itertools>=10.0.0",
-    # nvidia-riva-client moved to [nvidia] optional dep (pins websockets==15.0.1 exactly,
-    # which conflicts with deepgram-sdk>=6 and roomkit which need websockets>=16)
-    # "nvidia-riva-client>=2.25.0,<3.0.0"
 ]
 
 [project.optional-dependencies]
+# Voice framework: choose one (pipecat or roomkit)
+pipecat = [
+    "pipecat-ai==0.0.104",
+    "deepgram-sdk>=3.5.0,<4.0.0",
+    "onnxruntime>=1.16.0",
+    "google-cloud-speech>=2.0.0",
+    "google-cloud-texttospeech>=2.0.0",
+    "azure-cognitiveservices-speech>=1.31.0",
+    "cartesia>=1.0.0",
+    "assemblyai>=0.17.0",
+    "websockets>=12.0,<16.0",
+    "nvidia-riva-client>=2.25.0,<3.0.0",
+]
+roomkit = [
+    "roomkit>=0.7.0a2; python_version>='3.12'",
+    "deepgram-sdk>=6.0.0",
+    "websockets>=16.0",
+]
 dev = [
     "pytest>=7.0",
     "pytest-asyncio>=0.21",
@@ -68,14 +75,6 @@ dev = [
     "mypy>=1.5",
     "pre-commit>=4.0",
 ]
-nvidia = [
-    "nvidia-riva-client>=2.25.0,<3.0.0",
-]
-roomkit = [
-    "roomkit>=0.7.0a2; python_version>='3.12'",
-    "deepgram-sdk>=6.0.0",
-    "websockets>=16.0",
-]
 apps = [
     "pandas>=2.0",
     "plotly>=5.0",
@@ -87,9 +86,9 @@ apps = [
 eva = "eva.cli:main"
 
 [tool.uv]
-# nvidia and roomkit have incompatible websockets requirements
-# (nvidia-riva-client pins ==15.0.1, roomkit needs >=16.0)
-conflicts = [[{extra = "nvidia"}, {extra = "roomkit"}]]
+# pipecat and roomkit have incompatible dependency versions
+# (deepgram-sdk v3 vs v6, websockets <16 vs >=16)
+conflicts = [[{extra = "pipecat"}, {extra = "roomkit"}]]
 
 [tool.hatch.build.targets.wheel]
 packages = ["src/eva"]