Merge pull request #189 from zestysoft/recognize_openai_url

Add code to use openai_base_url and use OpenAI's model lister function

installer/client/cli/utils.py

@@ -1,6 +1,6 @@
 import requests
 import os
-from openai import OpenAI
+from openai import OpenAI, APIConnectionError
 import asyncio
 import pyperclip
 import sys
@@ -36,12 +36,10 @@ class Standalone:
         # Expand the tilde to the full path
         env_file = os.path.expanduser(env_file)
         load_dotenv(env_file)
-        try:
-            apikey = os.environ["OPENAI_API_KEY"]
-            self.client = OpenAI()
-            self.client.api_key = apikey
-        except:
-            print("No API key found. Use the --apikey option to set the key")
+        assert 'OPENAI_API_KEY' in os.environ, "Error: OPENAI_API_KEY not found in environment variables. Please run fabric --setup and add the key."
+        api_key = os.environ['OPENAI_API_KEY']
+        base_url = os.environ.get('OPENAI_BASE_URL', 'https://api.openai.com/v1/')
+        self.client = OpenAI(api_key=api_key, base_url=base_url)
         self.local = False
         self.config_pattern_directory = config_directory
         self.pattern = pattern
@@ -267,28 +265,23 @@ class Standalone:
         fullOllamaList = []
         claudeList = ['claude-3-opus-20240229']
         try:
-            headers = {
-                "Authorization": f"Bearer {self.client.api_key}"
-            }
-            response = requests.get(
-                "https://api.openai.com/v1/models", headers=headers)
-
-            if response.status_code == 200:
-                models = response.json().get("data", [])
-                # Filter only gpt models
-                gpt_models = [model for model in models if model.get(
-                    "id", "").startswith(("gpt"))]
-                # Sort the models alphabetically by their ID
-                sorted_gpt_models = sorted(
-                    gpt_models, key=lambda x: x.get("id"))
-
-                for model in sorted_gpt_models:
-                    gptlist.append(model.get("id"))
+            models = [model.id for model in self.client.models.list().data]
+        except APIConnectionError as e:
+            if getattr(e.__cause__, 'args', [''])[0] == "Illegal header value b'Bearer '":
+                print("Error: Cannot connect to the OpenAI API Server because the API key is not set. Please run fabric --setup and add a key.")
             else:
-                print(f"Failed to fetch models: HTTP {response.status_code}")
-                sys.exit()
-        except:
-            print('No OpenAI API key found. Please run fabric --setup and add the key if you wish to interact with openai')
+                print(f'{e.message} trying to access {e.request.url}: {getattr(e.__cause__, 'args', [''])}')
+            sys.exit()
+        except Exception as e:
+            print(f"Error: {getattr(e.__context__, 'args', [''])[0]}")
+            sys.exit()
+        if "/" in models[0] or "\\" in models[0]:
+            # lmstudio returns full paths to models. Iterate and truncate everything before and including the last slash
+            gptlist = [item[item.rfind("/") + 1:] if "/" in item else item[item.rfind("\\") + 1:] for item in models]
+        else:
+            # Keep items that start with "gpt"
+            gptlist = [item for item in models if item.startswith("gpt")]
+        gptlist.sort()
         import ollama
         try:
             default_modelollamaList = ollama.list()['models']
@@ -436,27 +429,24 @@ class Setup:
             pass
 
     def fetch_available_models(self):
-        headers = {
-            "Authorization": f"Bearer {self.openaiapi_key}"
-        }
-
-        response = requests.get(
-            "https://api.openai.com/v1/models", headers=headers)
-
-        if response.status_code == 200:
-            models = response.json().get("data", [])
-            # Filter only gpt models
-            gpt_models = [model for model in models if model.get(
-                "id", "").startswith(("gpt"))]
-            # Sort the models alphabetically by their ID
-            sorted_gpt_models = sorted(
-                gpt_models, key=lambda x: x.get("id"))
-
-            for model in sorted_gpt_models:
-                self.gptlist.append(model.get("id"))
-        else:
-            print(f"Failed to fetch models: HTTP {response.status_code}")
+        try:
+            models = [model.id for model in self.client.models.list().data]
+        except APIConnectionError as e:
+            if getattr(e.__cause__, 'args', [''])[0] == "Illegal header value b'Bearer '":
+                print("Error: Cannot connect to the OpenAI API Server because the API key is not set. Please run fabric --setup and add a key.")
+            else:
+                print(f'{e.message} trying to access {e.request.url}: {getattr(e.__cause__, 'args', [''])}')
             sys.exit()
+        except Exception as e:
+            print(f"Error: {getattr(e.__context__, 'args', [''])[0]}")
+            sys.exit()
+        if "/" in models[0] or "\\" in models[0]:
+            # lmstudio returns full paths to models. Iterate and truncate everything before and including the last slash
+            self.gptlist = [item[item.rfind("/") + 1:] if "/" in item else item[item.rfind("\\") + 1:] for item in models]
+        else:
+            # Keep items that start with "gpt"
+            self.gptlist = [item for item in models if item.startswith("gpt")]
+        self.gptlist.sort()
         import ollama
         try:
             default_modelollamaList = ollama.list()['models']