Update RimeTTSService InputParams for arcana and mistv2 model support

Add model-specific params (arcana: repetition_penalty, temperature, top_p;
mistv2: no_text_normalization, save_oovs, segment) with dynamic query param
building via _build_settings(). Model/voice/param changes now trigger
WebSocket reconnection since all settings are URL query params.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

examples/foundational/07q-interruptible-rime.py

@@ -25,6 +25,7 @@ from pipecat.runner.utils import create_transport
 from pipecat.services.deepgram.stt import DeepgramSTTService
 from pipecat.services.openai.llm import OpenAILLMService
 from pipecat.services.rime.tts import RimeTTSService
+from pipecat.transcriptions.language import Language
 from pipecat.transports.base_transport import BaseTransport, TransportParams
 from pipecat.transports.daily.transport import DailyParams
 from pipecat.transports.websocket.fastapi import FastAPIWebsocketParams
@@ -56,7 +57,13 @@ async def run_bot(transport: BaseTransport, runner_args: RunnerArguments):
 
     tts = RimeTTSService(
         api_key=os.getenv("RIME_API_KEY", ""),
-        voice_id="rex",
+        voice_id="luna",
+        params=RimeTTSService.InputParams(
+            language=Language.EN,
+            repetition_penalty=1.0,
+            temperature=0.5,
+            top_p=0.9,
+        ),
     )
 
     llm = OpenAILLMService(api_key=os.getenv("OPENAI_API_KEY"))