Add GPT-5 model and update Claude models to Haiku 4.5 and Sonnet 4.5

llm.py

@@ -94,7 +94,7 @@ def chat(messages, persona):
             "max_completion_tokens": 4000,
         }
         # Some newer OpenAI models only support the default temperature.
-        if MODEL_STRING not in {"gpt-5-nano", "gpt-5-mini"}:
+        if MODEL_STRING not in {"gpt-5", "gpt-5-nano", "gpt-5-mini"}:
             request_kwargs["temperature"] = 0.3
 
         response = client.chat.completions.create(**request_kwargs)
@@ -375,7 +375,7 @@ def check_credentials():
             bedrock_runtime = get_bedrock_client()
             # Try a simple test invocation to verify credentials
             test_response = bedrock_runtime.invoke_model(
-                modelId="anthropic.claude-3-5-sonnet-20240620-v1:0",
+                modelId="anthropic.claude-haiku-4-5-20251001-v1:0",
                 contentType="application/json",
                 accept="application/json",
                 body=json.dumps({

model_config.py

@@ -1,12 +1,13 @@
 PROVIDER_MODEL_MAP = {
     "openai": [
         "gpt-4.1-mini",
+        "gpt-5",
         "gpt-5-mini",
         "gpt-5-nano",
     ],
     "anthropic": [
-        "anthropic.claude-3-5-sonnet-20240620-v1:0",
-        "anthropic.claude-sonnet-4-20250514-v1:0",
+        "anthropic.claude-haiku-4-5-20251001-v1:0",
+        "anthropic.claude-sonnet-4-5-20250929-v1:0",
     ],
 }
 
@@ -20,10 +21,11 @@ MODEL_TO_PROVIDER = {
 # Model display names with categories
 MODEL_DISPLAY_NAMES = {
     "gpt-4.1-mini": "OpenAI - GPT-4.1 Mini",
+    "gpt-5": "OpenAI - GPT-5",
     "gpt-5-mini": "OpenAI - GPT-5 Mini",
     "gpt-5-nano": "OpenAI - GPT-5 Nano",
-    "anthropic.claude-3-5-sonnet-20240620-v1:0": "AWS Bedrock - Anthropic - Claude 3.5 Sonnet",
-    "anthropic.claude-sonnet-4-20250514-v1:0": "AWS Bedrock - Anthropic - Claude Sonnet 4",
+    "anthropic.claude-haiku-4-5-20251001-v1:0": "AWS Bedrock - Anthropic - Claude Haiku 4.5",
+    "anthropic.claude-sonnet-4-5-20250929-v1:0": "AWS Bedrock - Anthropic - Claude Sonnet 4.5",
 }
 
 MODEL_CHOICES = [model for models in PROVIDER_MODEL_MAP.values() for model in models]