removed adding model as a required argument, so that it aligns with p…

…rem's workflow

dsp/modules/premai.py

@@ -8,7 +8,7 @@
 try:
     import premai
 
-    premai_error = premai.errors.UnexpectedStatus
+    premai_api_error = premai.errors.UnexpectedStatus
 except ImportError:
     premai_api_error = Exception
 except AttributeError:
@@ -49,18 +49,18 @@ class PremAI(LM):
 
     def __init__(
         self,
-        model: str,
         project_id: int,
+        model: Optional[str] = None,
         api_key: Optional[str] = None,
         session_id: Optional[int] = None,
         **kwargs,
     ) -> None:
         """Parameters
 
-        model: str
-            The name of model name
         project_id: int
             "The project ID in which the experiments or deployments are carried out. can find all your projects here: https://app.premai.io/projects/"
+        model: Optional[str]
+            The name of model deployed on launchpad. When None, it will show 'default'
         api_key: Optional[str]
             Prem AI API key, to connect with the API. If not provided then it will check from env var by the name
                 PREMAI_API_KEY
@@ -69,6 +69,7 @@ def __init__(
         **kwargs: dict
             Additional arguments to pass to the API provider
         """
+        model = "default" if model is None else model
         super().__init__(model)
         if premai_api_error == Exception:
             raise ImportError(
@@ -85,13 +86,18 @@ def __init__(
         self.history: list[dict[str, Any]] = []
 
         self.kwargs = {
-            "model": model,
             "temperature": 0.17,
             "max_tokens": 150,
             **kwargs,
         }
         if session_id is not None:
-            kwargs["session_id"] = session_id
+            self.kwargs["session_id"] = session_id
+
+        # However this is not recommended to change the model once
+        # deployed from launchpad
+
+        if model != "default":
+            self.kwargs["model"] = model
 
     def _get_all_kwargs(self, **kwargs) -> dict:
         other_kwargs = {
@@ -111,7 +117,6 @@ def _get_all_kwargs(self, **kwargs) -> dict:
             "frequency_penalty",
             "presence_penalty",
             "tools",
-            "model",
         ]
 
         for key in _keys_that_cannot_be_none:
@@ -122,15 +127,15 @@ def _get_all_kwargs(self, **kwargs) -> dict:
     def basic_request(self, prompt, **kwargs) -> str:
         """Handles retrieval of completions from Prem AI whilst handling API errors."""
         all_kwargs = self._get_all_kwargs(**kwargs)
-        message = []
+        messages = []
 
         if "system_prompt" in all_kwargs:
-            message.append({"role": "system", "content": all_kwargs["system_prompt"]})
-        message.append({"role": "user", "content": prompt})
+            messages.append({"role": "system", "content": all_kwargs["system_prompt"]})
+        messages.append({"role": "user", "content": prompt})
 
         response = self.client.chat.completions.create(
             project_id=self.project_id,
-            messages=message,
+            messages=messages,
             **all_kwargs,
         )
         if not response.choices: