Switched to private key

app/__main__.py

@@ -10,6 +10,7 @@ Architecture:
 """
 
 import asyncio
+import os
 import sys
 from pathlib import Path
 
@@ -59,22 +60,25 @@ async def chat_loop(settings) -> None:
 
     # Initialise LLM provider (Azure OpenAI or standard OpenAI)
     try:
-        if settings.azure_openai.endpoint and settings.azure_openai.api_key:
+        openai_key = (getattr(settings, "openai_api_key", "") or "").strip()
+        azure_key = (settings.azure_openai.api_key or "").strip()
+        azure_endpoint = (settings.azure_openai.endpoint or "").strip()
+        if openai_key:
+            llm_provider = OpenAILLMProvider(
+                api_key=openai_key,
+                model_name=os.getenv("OPENAI_MODEL", "gpt-4o-mini").strip(),
+                max_tokens=settings.azure_openai.max_tokens,
+                temperature=settings.azure_openai.temperature,
+            )
+        elif azure_endpoint and azure_key:
             llm_provider = AzureOpenAIProvider(
-                endpoint=settings.azure_openai.endpoint,
-                api_key=settings.azure_openai.api_key,
+                endpoint=azure_endpoint,
+                api_key=azure_key,
                 deployment_name=settings.azure_openai.deployment_name,
                 api_version=settings.azure_openai.api_version,
                 temperature=settings.azure_openai.temperature,
                 max_tokens=settings.azure_openai.max_tokens,
             )
-        elif getattr(settings, "openai_api_key", ""):
-            llm_provider = OpenAILLMProvider(
-                api_key=settings.openai_api_key,
-                model_name=settings.azure_openai.deployment_name,
-                max_tokens=settings.azure_openai.max_tokens,
-                temperature=settings.azure_openai.temperature,
-            )
         else:
             print("\n❌ No API key configured. Set OPENAI_API_KEY or AZURE_OPENAI_API_KEY in .env")
             return

app_gradio.py

@@ -1,3 +1,4 @@
+import os
 import sys
 from pathlib import Path
 
@@ -12,24 +13,29 @@ from config.settings import get_settings
 
 def _build_orchestrator() -> Orchestrator:
     settings = get_settings()
-    if settings.azure_openai.endpoint and settings.azure_openai.api_key:
+    # Prefer the plain OpenAI key; strip whitespace since pasted secrets often
+    # carry a trailing newline, which httpx rejects as a "Connection error".
+    openai_key = (settings.openai_api_key or "").strip()
+    azure_key = (settings.azure_openai.api_key or "").strip()
+    azure_endpoint = (settings.azure_openai.endpoint or "").strip()
+    if openai_key:
+        provider = OpenAILLMProvider(
+            api_key=openai_key,
+            model_name=os.getenv("OPENAI_MODEL", "gpt-4o-mini").strip(),
+            max_tokens=settings.azure_openai.max_tokens,
+            temperature=settings.azure_openai.temperature,
+        )
+    elif azure_endpoint and azure_key:
         provider = AzureOpenAIProvider(
-            endpoint=settings.azure_openai.endpoint,
-            api_key=settings.azure_openai.api_key,
+            endpoint=azure_endpoint,
+            api_key=azure_key,
             deployment_name=settings.azure_openai.deployment_name,
             api_version=settings.azure_openai.api_version,
             temperature=settings.azure_openai.temperature,
             max_tokens=settings.azure_openai.max_tokens,
         )
-    elif settings.openai_api_key:
-        provider = OpenAILLMProvider(
-            api_key=settings.openai_api_key,
-            model_name=settings.azure_openai.deployment_name or "gpt-4o-mini",
-            max_tokens=settings.azure_openai.max_tokens,
-            temperature=settings.azure_openai.temperature,
-        )
     else:
-        raise RuntimeError("No LLM API key configured. Set AZURE_OPENAI_API_KEY or OPENAI_API_KEY.")
+        raise RuntimeError("No LLM API key configured. Set OPENAI_API_KEY or AZURE_OPENAI_API_KEY.")
     return Orchestrator(provider, settings)