Update default OpenAI model to gpt-4o-mini and remove dead code in Op…

README.md

@@ -107,7 +107,7 @@ The library supports an optional parser option leveraging Large Language Models
 
 When the appropriate environment variable(s) are set (see below), these LLM parsers are automatically appended after all existing processors for each defined Provider.
 
-> These integrations may involve some costs for API usage. Use it carefully! As an order of magnitude, a parsing of an email with OpenAI GPT gpt-3.5-turbo model costs $0.004.
+> These integrations may involve some costs for API usage. Use it carefully! As an order of magnitude, a parsing of an email with OpenAI GPT gpt-4o-mini model costs less than $0.001.
 
 These are the currently supported LLM integrations:
 
@@ -116,7 +116,7 @@ These are the currently supported LLM integrations:
 
 - [OpenAI](https://openai.com/product), these are the supported ENVs:
   - `PARSER_OPENAI_API_KEY` (Required): OpenAI API Key.
-  - `PARSER_OPENAI_MODEL` (Optional): The LLM model to use, defaults to "gpt-3.5-turbo".
+  - `PARSER_OPENAI_MODEL` (Optional): The LLM model to use, defaults to "gpt-4o-mini".
 
 ### Metadata
 

changes/373.changed

@@ -0,0 +1 @@
+Updated default OpenAI model from deprecated gpt-3.5-turbo to gpt-4o-mini and removed unreachable dead code in OpenAI parser.

circuit_maintenance_parser/parsers/openai.py

@@ -26,7 +26,7 @@ def get_llm_response(self, content) -> Optional[List]:
             raise ImportError("openai extra is required to use OpenAIParser.")
 
         client = OpenAI(api_key=os.getenv("PARSER_OPENAI_API_KEY"))
-        model = os.getenv("PARSER_OPENAI_MODEL", "gpt-3.5-turbo")
+        model = os.getenv("PARSER_OPENAI_MODEL", "gpt-4o-mini")
         try:
             response = client.chat.completions.create(
                 model=model,
@@ -60,5 +60,3 @@ def get_llm_response(self, content) -> Optional[List]:
         except ValueError as err:
             logger.error(err)
             return None
-
-        return None