Fixed openAI model version configs and removed unused vision model

.env.example

@@ -1,8 +1,5 @@
 OPENAI_API_KEY=
-MODEL_NAME="gpt-4o-realtime-preview-2025-06-03"
-
-# Vision model (Responses API, multimodal)
-OPENAI_VISION_MODEL="gpt-4.1-mini"
+MODEL_NAME="gpt-realtime"
 
 # Cache for local VLM
 HF_HOME=./cache

src/reachy_mini_conversation_demo/config.py

@@ -23,8 +23,7 @@ class Config:
         raise RuntimeError("OPENAI_API_KEY is missing in .env")
 
     # Optional
-    MODEL_NAME = os.getenv("MODEL_NAME", "gpt-4o-realtime-preview")
-    OPENAI_VISION_MODEL = os.getenv("OPENAI_VISION_MODEL", "gpt-4.1-mini")
+    MODEL_NAME = os.getenv("MODEL_NAME", "gpt-realtime")
     HF_HOME = os.getenv("HF_HOME", "./cache")
     HF_TOKEN = os.getenv("HF_TOKEN")  # Optional, falls back to hf auth login if not set
 

src/reachy_mini_conversation_demo/openai_realtime.py

@@ -48,7 +48,7 @@ class OpenaiRealtimeHandler(AsyncStreamHandler):
     async def start_up(self):
         """Start the handler."""
         self.client = AsyncOpenAI(api_key=config.OPENAI_API_KEY)
-        async with self.client.beta.realtime.connect(model="gpt-realtime") as conn:
+        async with self.client.beta.realtime.connect(model=config.MODEL_NAME) as conn:
             await conn.session.update(
                 session={
                     "turn_detection": {

src/reachy_mini_conversation_demo/vision/processors.py

@@ -23,7 +23,6 @@ class VisionConfig:
     """Configuration for vision processing."""
 
     processor_type: str = "local"
-    openai_model: str = os.getenv("OPENAI_VISION_MODEL", "gpt-4.1-mini")
     model_path: str = "HuggingFaceTB/SmolVLM2-2.2B-Instruct"
     vision_interval: float = 5.0
     max_new_tokens: int = 64