even the parameters are fixed, keep aic ready for processing.

src/pipecat/audio/filters/aic_filter.py

@@ -18,7 +18,14 @@ import os
 from typing import List, Optional
 
 import numpy as np
-from aic_sdk import Model, ProcessorAsync, ProcessorConfig, ProcessorParameter, set_sdk_id
+from aic_sdk import (
+    Model,
+    ParameterFixedError,
+    ProcessorAsync,
+    ProcessorConfig,
+    ProcessorParameter,
+    set_sdk_id,
+)
 from loguru import logger
 
 from pipecat.audio.filters.base_audio_filter import BaseAudioFilter
@@ -156,7 +163,6 @@ class AICFilter(BaseAudioFilter):
         """
         self._sample_rate = sample_rate
 
-        try:
         # Load or download model
         if self._model_path:
             logger.debug(f"Loading AIC model from: {self._model_path}")
@@ -182,20 +188,27 @@ class AICFilter(BaseAudioFilter):
         )
 
         # Create async processor
+        try:
             self._processor = ProcessorAsync(self._model, self._license_key, config)
+            self._aic_ready = True
+        except Exception as e:  # noqa: BLE001 - surfacing SDK initialization errors
+            logger.error(f"AIC model initialization failed: {e}")
+            self._aic_ready = False
 
         # Get contexts for parameter control and VAD
         self._processor_ctx = self._processor.get_processor_context()
         self._vad_ctx = self._processor.get_vad_context()
 
+        try:
             # Apply initial parameters
             if self._enhancement_level is not None:
                 level = self._enhancement_level if self._enabled else 0.0
                 self._processor_ctx.set_parameter(ProcessorParameter.EnhancementLevel, level)
+
             if self._voice_gain is not None:
                 self._processor_ctx.set_parameter(ProcessorParameter.VoiceGain, self._voice_gain)
-
-            self._aic_ready = True
+        except ParameterFixedError as e:
+            logger.error(f"AIC parameter update failed: {e}")
 
         # Log processor information
         logger.debug(f"ai-coustics filter started:")
@@ -208,9 +221,6 @@ class AICFilter(BaseAudioFilter):
             f"  Output delay: {self._processor_ctx.get_output_delay()} samples "
             f"({self._processor_ctx.get_output_delay() / self._sample_rate * 1000:.2f}ms)"
         )
-        except Exception as e:  # noqa: BLE001 - surfacing SDK initialization errors
-            logger.error(f"AIC model initialization failed: {e}")
-            self._aic_ready = False
 
     async def stop(self):
         """Clean up the AIC processor when stopping.