migration for openai

docs/swarms/models/fuyu.md

@@ -37,7 +37,7 @@ To use Fuyu, follow these steps:
 1. Initialize the Fuyu instance:
 
 ```python
-from swarms.models import Fuyu
+from swarms.models.fuyu import Fuyu
 
 fuyu = Fuyu()
 ```
@@ -54,7 +54,7 @@ output_text = fuyu(text, img_path)
 ### Example 2 - Text Generation
 
 ```python
-from swarms.models import Fuyu
+from swarms.models.fuyu import Fuyu
 
 fuyu = Fuyu()
 

swarms/models/openai_chat.py

@@ -101,7 +101,7 @@ def _create_retry_decorator(
     import openai
 
     errors = [
-        openai.error.Timeout,
+        openai.Timeout,
         openai.error.APIError,
         openai.error.APIConnectionError,
         openai.error.RateLimitError,
@@ -547,7 +547,7 @@ class OpenAIChat(BaseChatModel):
         if self.openai_proxy:
             import openai
 
-            openai.proxy = {"http": self.openai_proxy, "https": self.openai_proxy}  # type: ignore[assignment]  # noqa: E501
+            raise Exception("The 'openai.proxy' option isn't read in the client API. You will need to pass it when you instantiate the client, e.g. 'OpenAI(proxy={"http": self.openai_proxy, "https": self.openai_proxy})'")  # type: ignore[assignment]  # noqa: E501
         return {**self._default_params, **openai_creds}
 
     def _get_invocation_params(

swarms/models/openai_models.py

@@ -88,7 +88,7 @@ def _create_retry_decorator(
     import openai
 
     errors = [
-        openai.error.Timeout,
+        openai.Timeout,
         openai.error.APIError,
         openai.error.APIConnectionError,
         openai.error.RateLimitError,
@@ -500,10 +500,10 @@ class BaseOpenAI(BaseLLM):
         if self.openai_proxy:
             import openai
 
-            openai.proxy = {
+            raise Exception("The 'openai.proxy' option isn't read in the client API. You will need to pass it when you instantiate the client, e.g. 'OpenAI(proxy={
                 "http": self.openai_proxy,
                 "https": self.openai_proxy,
-            }  # type: ignore[assignment]  # noqa: E501
+            })'")  # type: ignore[assignment]  # noqa: E501
         return {**openai_creds, **self._default_params}
 
     @property
@@ -782,16 +782,16 @@ class OpenAIChat(BaseLLM):
         try:
             import openai
 
-            openai.api_key = openai_api_key
+            
             if openai_api_base:
-                openai.api_base = openai_api_base
+                raise Exception("The 'openai.api_base' option isn't read in the client API. You will need to pass it when you instantiate the client, e.g. 'OpenAI(api_base=openai_api_base)'")
             if openai_organization:
-                openai.organization = openai_organization
+                raise Exception("The 'openai.organization' option isn't read in the client API. You will need to pass it when you instantiate the client, e.g. 'OpenAI(organization=openai_organization)'")
             if openai_proxy:
-                openai.proxy = {
+                raise Exception("The 'openai.proxy' option isn't read in the client API. You will need to pass it when you instantiate the client, e.g. 'OpenAI(proxy={
                     "http": openai_proxy,
                     "https": openai_proxy,
-                }  # type: ignore[assignment]  # noqa: E501
+                })'")  # type: ignore[assignment]  # noqa: E501
         except ImportError:
             raise ImportError(
                 "Could not import openai python package. "

swarms/models/simple_ada.py

@@ -1,4 +1,6 @@
-import openai
+from openai import OpenAI
+
+client = OpenAI(api_key=getenv("OPENAI_API_KEY"))
 from dotenv import load_dotenv
 from os import getenv
 
@@ -14,13 +16,11 @@ def get_ada_embeddings(text: str, model: str = "text-embedding-ada-002"):
     >>> get_ada_embeddings("Hello World", model="text-embedding-ada-001")
 
     """
-    openai.api_key = getenv("OPENAI_API_KEY")
+    
 
     text = text.replace("\n", " ")
 
-    return openai.Embedding.create(
+    return client.embeddings.create(input=[text],
-        input=[text],
+    model=model)["data"][
-        model=model,
-    )["data"][
         0
     ]["embedding"]

tests/models/ada.py

@@ -24,7 +24,7 @@ def test_texts():
 
 # Basic Test
 def test_get_ada_embeddings_basic(test_texts):
-    with patch("openai.Embedding.create") as mock_create:
+    with patch("openai.resources.Embeddings.create") as mock_create:
         # Mocking the OpenAI API call
         mock_create.return_value = {"data": [{"embedding": [0.1, 0.2, 0.3]}]}
 
@@ -49,7 +49,7 @@ def test_get_ada_embeddings_basic(test_texts):
     ],
 )
 def test_get_ada_embeddings_models(text, model, expected_call_model):
-    with patch("openai.Embedding.create") as mock_create:
+    with patch("openai.resources.Embeddings.create") as mock_create:
         mock_create.return_value = {"data": [{"embedding": [0.1, 0.2, 0.3]}]}
 
         _ = get_ada_embeddings(text, model=model)
@@ -58,16 +58,16 @@ def test_get_ada_embeddings_models(text, model, expected_call_model):
 
 # Exception Test
 def test_get_ada_embeddings_exception():
-    with patch("openai.Embedding.create") as mock_create:
+    with patch("openai.resources.Embeddings.create") as mock_create:
-        mock_create.side_effect = openai.error.OpenAIError("Test error")
+        mock_create.side_effect = openai.OpenAIError("Test error")
-        with pytest.raises(openai.error.OpenAIError):
+        with pytest.raises(openai.OpenAIError):
             get_ada_embeddings("Some text")
 
 
 # Tests for environment variable loading
 def test_env_var_loading(monkeypatch):
     monkeypatch.setenv("OPENAI_API_KEY", "testkey123")
-    with patch("openai.Embedding.create"):
+    with patch("openai.resources.Embeddings.create"):
         assert (
             getenv("OPENAI_API_KEY") == "testkey123"
         ), "Environment variable for API key is not set correctly"