chore: Update gpt-35-turbo version

cognitive/src/test/python/synapsemltest/services/langchain/test_LangchainTransform.py

@@ -39,7 +39,7 @@ def __init__(self, *args, **kwargs):
         )
         openai_api_key = json.loads(secretJson)["value"]
         openai_api_base = "https://synapseml-openai-2.openai.azure.com/"
-        openai_api_version = "2022-12-01"
+        openai_api_version = "2024-02-01"
         openai_api_type = "azure"
 
         os.environ["OPENAI_API_TYPE"] = openai_api_type
@@ -52,7 +52,7 @@ def __init__(self, *args, **kwargs):
 
         # construction of llm
         llm = AzureOpenAI(
-            deployment_name="gpt-35-turbo",
+            deployment_name="gpt-35-turbo-0125",
             model_name="gpt-35-turbo",
             temperature=0,
             verbose=False,

cognitive/src/test/scala/com/microsoft/azure/synapse/ml/services/openai/OpenAICompletionSuite.scala

@@ -14,7 +14,7 @@ import org.scalactic.Equality
 trait OpenAIAPIKey {
   lazy val openAIAPIKey: String = sys.env.getOrElse("OPENAI_API_KEY_2", Secrets.OpenAIApiKey)
   lazy val openAIServiceName: String = sys.env.getOrElse("OPENAI_SERVICE_NAME_2", "synapseml-openai-2")
-  lazy val deploymentName: String = "gpt-35-turbo"
+  lazy val deploymentName: String = "gpt-35-turbo-0125"
   lazy val modelName: String = "gpt-35-turbo"
   lazy val deploymentNameGpt4: String = "gpt-4"
   lazy val deploymentNameGpt4o: String = "gpt-4o"

docs/Explore Algorithms/AI Services/Quickstart - Document Question and Answering with PDFs.ipynb

@@ -152,7 +152,7 @@
     "aoai_endpoint = f\"https://{aoai_service_name}.openai.azure.com/\"\n",
     "aoai_key = find_secret(secret_name=\"openai-api-key-2\", keyvault=\"mmlspark-build-keys\")\n",
     "aoai_deployment_name_embeddings = \"text-embedding-ada-002\"\n",
-    "aoai_deployment_name_query = \"gpt-35-turbo\"\n",
+    "aoai_deployment_name_query = \"gpt-35-turbo-0125\"\n",
     "aoai_model_name_query = \"gpt-35-turbo\"\n",
     "\n",
     "# Azure Cognitive Search\n",
@@ -855,7 +855,7 @@
     "\n",
     "openai.api_type = \"azure\"\n",
     "openai.api_base = aoai_endpoint\n",
-    "openai.api_version = \"2022-12-01\"\n",
+    "openai.api_version = \"2024-02-01\"\n",
     "openai.api_key = aoai_key"
    ]
   },
@@ -893,7 +893,7 @@
     "        deployment_name=aoai_deployment_name_query,\n",
     "        model_name=aoai_model_name_query,\n",
     "        openai_api_key=aoai_key,\n",
-    "        openai_api_version=\"2022-12-01\",\n",
+    "        openai_api_version=\"2024-02-01\",\n",
     "    )\n",
     "\n",
     "    # Write a preprompt with context and query as variables\n",

docs/Explore Algorithms/OpenAI/Langchain.ipynb

@@ -165,9 +165,9 @@
     "    secret_name=\"openai-api-key-2\", keyvault=\"mmlspark-build-keys\"\n",
     ")\n",
     "openai_api_base = \"https://synapseml-openai-2.openai.azure.com/\"\n",
-    "openai_api_version = \"2022-12-01\"\n",
+    "openai_api_version = \"2024-02-01\"\n",
     "openai_api_type = \"azure\"\n",
-    "deployment_name = \"gpt-35-turbo\"\n",
+    "deployment_name = \"gpt-35-turbo-0125\"\n",
     "bing_search_url = \"https://api.bing.microsoft.com/v7.0/search\"\n",
     "bing_subscription_key = find_secret(\n",
     "    secret_name=\"bing-search-key\", keyvault=\"mmlspark-build-keys\"\n",

docs/Explore Algorithms/OpenAI/OpenAI.ipynb

@@ -89,7 +89,7 @@
     "# Fill in the following lines with your service information\n",
     "# Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model\n",
     "service_name = \"synapseml-openai-2\"\n",
-    "deployment_name = \"gpt-35-turbo\"\n",
+    "deployment_name = \"gpt-35-turbo-0125\"\n",
     "deployment_name_embeddings = \"text-embedding-ada-002\"\n",
     "\n",
     "key = find_secret(\n",

docs/Explore Algorithms/OpenAI/Quickstart - Understand and Search Forms.ipynb

@@ -100,7 +100,7 @@
     "    secret_name=\"openai-api-key-2\", keyvault=\"mmlspark-build-keys\"\n",
     ")  # Replace the call to find_secret with your key as a python string.\n",
     "openai_service_name = \"synapseml-openai-2\"\n",
-    "openai_deployment_name = \"gpt-35-turbo\"\n",
+    "openai_deployment_name = \"gpt-35-turbo-0125\"\n",
     "openai_url = f\"https://{openai_service_name}.openai.azure.com/\""
    ]
   },

website/versioned_docs/version-0.11.3/Explore Algorithms/AI Services/Quickstart - Document Question and Answering with PDFs.md

@@ -34,12 +34,12 @@ ai_services_key = find_secret("cognitive-api-key")
 ai_services_location = "eastus"
 
 # Fill in the following lines with your Azure service information
-aoai_service_name = "synapseml-openai"
+aoai_service_name = "synapseml-openai-2"
 aoai_endpoint = f"https://{aoai_service_name}.openai.azure.com/"
 aoai_key = find_secret("openai-api-key")
 aoai_deployment_name_embeddings = "text-embedding-ada-002"
-aoai_deployment_name_query = "text-davinci-003"
-aoai_model_name_query = "text-davinci-003"
+aoai_deployment_name_query = "gpt-35-turbo-0125"
+aoai_model_name_query = "gpt-35-turbo"
 
 # Azure Cognitive Search
 cogsearch_name = "mmlspark-azure-search"
@@ -286,7 +286,7 @@ import openai
 
 openai.api_type = "azure"
 openai.api_base = aoai_endpoint
-openai.api_version = "2022-12-01"
+openai.api_version = "2024-02-01"
 openai.api_key = aoai_key
 ```
 
@@ -302,7 +302,7 @@ def qa_chain_func():
         deployment_name=aoai_deployment_name_query,
         model_name=aoai_model_name_query,
         openai_api_key=aoai_key,
-        openai_api_version="2022-12-01",
+        openai_api_version="2024-02-01",
     )
 
     # Write a preprompt with context and query as variables

website/versioned_docs/version-0.11.3/Explore Algorithms/OpenAI/Langchain.md

@@ -54,10 +54,10 @@ Next, please edit the cell in the notebook to point to your service. In particul
 
 ```python
 openai_api_key = find_secret("openai-api-key")
-openai_api_base = "https://synapseml-openai.openai.azure.com/"
-openai_api_version = "2022-12-01"
+openai_api_base = "https://synapseml-openai-2.openai.azure.com/"
+openai_api_version = "2024-02-01"
 openai_api_type = "azure"
-deployment_name = "text-davinci-003"
+deployment_name = "gpt-35-turbo-0125"
 bing_search_url = "https://api.bing.microsoft.com/v7.0/search"
 bing_subscription_key = find_secret("bing-search-key")
 

website/versioned_docs/version-0.11.3/Explore Algorithms/OpenAI/OpenAI.md

@@ -35,8 +35,8 @@ from synapse.ml.core.platform import find_secret
 
 # Fill in the following lines with your service information
 # Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model
-service_name = "synapseml-openai"
-deployment_name = "gpt-35-turbo"
+service_name = "synapseml-openai-2"
+deployment_name = "gpt-35-turbo-0125"
 deployment_name_embeddings = "text-embedding-ada-002"
 
 key = find_secret(

website/versioned_docs/version-0.11.3/Explore Algorithms/OpenAI/Quickstart - OpenAI Embedding.md

@@ -35,7 +35,7 @@ from synapse.ml.core.platform import find_secret
 
 # Fill in the following lines with your service information
 # Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model
-service_name = "synapseml-openai"
+service_name = "synapseml-openai-2"
 deployment_name_embeddings = "text-embedding-ada-002"
 
 key = find_secret("openai-api-key")  # please replace this with your key as a string

website/versioned_docs/version-0.11.3/Explore Algorithms/OpenAI/Quickstart - Understand and Search Forms.md

@@ -45,8 +45,8 @@ search_index = "form-demo-index-5"
 openai_key = find_secret(
     "openai-api-key"
 )  # Replace the call to find_secret with your key as a python string.
-openai_service_name = "synapseml-openai"
-openai_deployment_name = "gpt-35-turbo"
+openai_service_name = "synapseml-openai-2"
+openai_deployment_name = "gpt-35-turbo-0125"
 openai_url = f"https://{openai_service_name}.openai.azure.com/"
 ```
 

website/versioned_docs/version-0.11.4/Explore Algorithms/AI Services/Quickstart - Document Question and Answering with PDFs.md

@@ -34,12 +34,12 @@ ai_services_key = find_secret("cognitive-api-key")
 ai_services_location = "eastus"
 
 # Fill in the following lines with your Azure service information
-aoai_service_name = "synapseml-openai"
+aoai_service_name = "synapseml-openai-2"
 aoai_endpoint = f"https://{aoai_service_name}.openai.azure.com/"
 aoai_key = find_secret("openai-api-key")
 aoai_deployment_name_embeddings = "text-embedding-ada-002"
-aoai_deployment_name_query = "text-davinci-003"
-aoai_model_name_query = "text-davinci-003"
+aoai_deployment_name_query = "gpt-35-turbo-0125"
+aoai_model_name_query = "gpt-35-turbo"
 
 # Azure Cognitive Search
 cogsearch_name = "mmlspark-azure-search"
@@ -286,7 +286,7 @@ import openai
 
 openai.api_type = "azure"
 openai.api_base = aoai_endpoint
-openai.api_version = "2022-12-01"
+openai.api_version = "2024-02-01"
 openai.api_key = aoai_key
 ```
 
@@ -302,7 +302,7 @@ def qa_chain_func():
         deployment_name=aoai_deployment_name_query,
         model_name=aoai_model_name_query,
         openai_api_key=aoai_key,
-        openai_api_version="2022-12-01",
+        openai_api_version="2024-02-01",
     )
 
     # Write a preprompt with context and query as variables

website/versioned_docs/version-0.11.4/Explore Algorithms/OpenAI/Langchain.md

@@ -54,10 +54,10 @@ Next, please edit the cell in the notebook to point to your service. In particul
 
 ```python
 openai_api_key = find_secret("openai-api-key")
-openai_api_base = "https://synapseml-openai.openai.azure.com/"
-openai_api_version = "2022-12-01"
+openai_api_base = "https://synapseml-openai-2.openai.azure.com/"
+openai_api_version = "2024-02-01"
 openai_api_type = "azure"
-deployment_name = "text-davinci-003"
+deployment_name = "gpt-35-turbo-0125"
 bing_search_url = "https://api.bing.microsoft.com/v7.0/search"
 bing_subscription_key = find_secret("bing-search-key")
 

website/versioned_docs/version-0.11.4/Explore Algorithms/OpenAI/OpenAI.md

@@ -35,8 +35,8 @@ from synapse.ml.core.platform import find_secret
 
 # Fill in the following lines with your service information
 # Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model
-service_name = "synapseml-openai"
-deployment_name = "gpt-35-turbo"
+service_name = "synapseml-openai-2"
+deployment_name = "gpt-35-turbo-0125"
 deployment_name_embeddings = "text-embedding-ada-002"
 
 key = find_secret(

website/versioned_docs/version-0.11.4/Explore Algorithms/OpenAI/Quickstart - OpenAI Embedding.md

@@ -35,7 +35,7 @@ from synapse.ml.core.platform import find_secret
 
 # Fill in the following lines with your service information
 # Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model
-service_name = "synapseml-openai"
+service_name = "synapseml-openai-2"
 deployment_name_embeddings = "text-embedding-ada-002"
 
 key = find_secret("openai-api-key")  # please replace this with your key as a string

website/versioned_docs/version-0.11.4/Explore Algorithms/OpenAI/Quickstart - Understand and Search Forms.md

@@ -45,8 +45,8 @@ search_index = "form-demo-index-5"
 openai_key = find_secret(
     "openai-api-key"
 )  # Replace the call to find_secret with your key as a python string.
-openai_service_name = "synapseml-openai"
-openai_deployment_name = "gpt-35-turbo"
+openai_service_name = "synapseml-openai-2"
+openai_deployment_name = "gpt-35-turbo-0125"
 openai_url = f"https://{openai_service_name}.openai.azure.com/"
 ```
 

website/versioned_docs/version-1.0.1/Explore Algorithms/AI Services/Quickstart - Document Question and Answering with PDFs.md

@@ -36,12 +36,12 @@ ai_services_key = find_secret(
 ai_services_location = "eastus"
 
 # Fill in the following lines with your Azure service information
-aoai_service_name = "synapseml-openai"
+aoai_service_name = "synapseml-openai-2"
 aoai_endpoint = f"https://{aoai_service_name}.openai.azure.com/"
 aoai_key = find_secret(secret_name="openai-api-key", keyvault="mmlspark-build-keys")
 aoai_deployment_name_embeddings = "text-embedding-ada-002"
-aoai_deployment_name_query = "text-davinci-003"
-aoai_model_name_query = "text-davinci-003"
+aoai_deployment_name_query = "gpt-35-turbo-0125"
+aoai_model_name_query = "gpt-35-turbo"
 
 # Azure Cognitive Search
 cogsearch_name = "mmlspark-azure-search"
@@ -290,7 +290,7 @@ import openai
 
 openai.api_type = "azure"
 openai.api_base = aoai_endpoint
-openai.api_version = "2022-12-01"
+openai.api_version = "2024-02-01"
 openai.api_key = aoai_key
 ```
 
@@ -306,7 +306,7 @@ def qa_chain_func():
         deployment_name=aoai_deployment_name_query,
         model_name=aoai_model_name_query,
         openai_api_key=aoai_key,
-        openai_api_version="2022-12-01",
+        openai_api_version="2024-02-01",
     )
 
     # Write a preprompt with context and query as variables

website/versioned_docs/version-1.0.1/Explore Algorithms/OpenAI/Langchain.md

@@ -58,10 +58,10 @@ Note that you also need to set up your Bing search to gain access to your [Bing
 openai_api_key = find_secret(
     secret_name="openai-api-key", keyvault="mmlspark-build-keys"
 )
-openai_api_base = "https://synapseml-openai.openai.azure.com/"
-openai_api_version = "2022-12-01"
+openai_api_base = "https://synapseml-openai-2.openai.azure.com/"
+openai_api_version = "2024-02-01"
 openai_api_type = "azure"
-deployment_name = "text-davinci-003"
+deployment_name = "gpt-35-turbo-0125"
 bing_search_url = "https://api.bing.microsoft.com/v7.0/search"
 bing_subscription_key = find_secret(
     secret_name="bing-search-key", keyvault="mmlspark-build-keys"

website/versioned_docs/version-1.0.1/Explore Algorithms/OpenAI/OpenAI.md

@@ -35,8 +35,8 @@ from synapse.ml.core.platform import find_secret
 
 # Fill in the following lines with your service information
 # Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model
-service_name = "synapseml-openai"
-deployment_name = "gpt-35-turbo"
+service_name = "synapseml-openai-2"
+deployment_name = "gpt-35-turbo-0125"
 deployment_name_embeddings = "text-embedding-ada-002"
 
 key = find_secret(

website/versioned_docs/version-1.0.1/Explore Algorithms/OpenAI/Quickstart - OpenAI Embedding.md

@@ -35,7 +35,7 @@ from synapse.ml.core.platform import find_secret
 
 # Fill in the following lines with your service information
 # Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model
-service_name = "synapseml-openai"
+service_name = "synapseml-openai-2"
 deployment_name_embeddings = "text-embedding-ada-002"
 
 key = find_secret(

website/versioned_docs/version-1.0.1/Explore Algorithms/OpenAI/Quickstart - Understand and Search Forms.md

@@ -45,8 +45,8 @@ search_index = "form-demo-index-5"
 openai_key = find_secret(
     secret_name="openai-api-key", keyvault="mmlspark-build-keys"
 )  # Replace the call to find_secret with your key as a python string.
-openai_service_name = "synapseml-openai"
-openai_deployment_name = "gpt-35-turbo"
+openai_service_name = "synapseml-openai-2"
+openai_deployment_name = "gpt-35-turbo-0125"
 openai_url = f"https://{openai_service_name}.openai.azure.com/"
 ```
 

website/versioned_docs/version-1.0.2/Explore Algorithms/AI Services/Quickstart - Document Question and Answering with PDFs.md

@@ -36,12 +36,12 @@ ai_services_key = find_secret(
 ai_services_location = "eastus"
 
 # Fill in the following lines with your Azure service information
-aoai_service_name = "synapseml-openai"
+aoai_service_name = "synapseml-openai-2"
 aoai_endpoint = f"https://{aoai_service_name}.openai.azure.com/"
 aoai_key = find_secret(secret_name="openai-api-key", keyvault="mmlspark-build-keys")
 aoai_deployment_name_embeddings = "text-embedding-ada-002"
-aoai_deployment_name_query = "text-davinci-003"
-aoai_model_name_query = "text-davinci-003"
+aoai_deployment_name_query = "gpt-35-turbo-0125"
+aoai_model_name_query = "gpt-35-turbo"
 
 # Azure Cognitive Search
 cogsearch_name = "mmlspark-azure-search"
@@ -290,7 +290,7 @@ import openai
 
 openai.api_type = "azure"
 openai.api_base = aoai_endpoint
-openai.api_version = "2022-12-01"
+openai.api_version = "2024-02-01"
 openai.api_key = aoai_key
 ```
 
@@ -306,7 +306,7 @@ def qa_chain_func():
         deployment_name=aoai_deployment_name_query,
         model_name=aoai_model_name_query,
         openai_api_key=aoai_key,
-        openai_api_version="2022-12-01",
+        openai_api_version="2024-02-01",
     )
 
     # Write a preprompt with context and query as variables

website/versioned_docs/version-1.0.2/Explore Algorithms/OpenAI/Langchain.md

@@ -58,10 +58,10 @@ Note that you also need to set up your Bing search to gain access to your [Bing
 openai_api_key = find_secret(
     secret_name="openai-api-key", keyvault="mmlspark-build-keys"
 )
-openai_api_base = "https://synapseml-openai.openai.azure.com/"
-openai_api_version = "2022-12-01"
+openai_api_base = "https://synapseml-openai-2.openai.azure.com/"
+openai_api_version = "2024-02-01"
 openai_api_type = "azure"
-deployment_name = "text-davinci-003"
+deployment_name = "gpt-35-turbo-0125"
 bing_search_url = "https://api.bing.microsoft.com/v7.0/search"
 bing_subscription_key = find_secret(
     secret_name="bing-search-key", keyvault="mmlspark-build-keys"

website/versioned_docs/version-1.0.2/Explore Algorithms/OpenAI/OpenAI.md

@@ -35,8 +35,8 @@ from synapse.ml.core.platform import find_secret
 
 # Fill in the following lines with your service information
 # Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model
-service_name = "synapseml-openai"
-deployment_name = "gpt-35-turbo"
+service_name = "synapseml-openai-2"
+deployment_name = "gpt-35-turbo-0125"
 deployment_name_embeddings = "text-embedding-ada-002"
 
 key = find_secret(

website/versioned_docs/version-1.0.2/Explore Algorithms/OpenAI/Quickstart - OpenAI Embedding.md

@@ -35,7 +35,7 @@ from synapse.ml.core.platform import find_secret
 
 # Fill in the following lines with your service information
 # Learn more about selecting which embedding model to choose: https://openai.com/blog/new-and-improved-embedding-model
-service_name = "synapseml-openai"
+service_name = "synapseml-openai-2"
 deployment_name_embeddings = "text-embedding-ada-002"
 
 key = find_secret(

website/versioned_docs/version-1.0.2/Explore Algorithms/OpenAI/Quickstart - Understand and Search Forms.md

@@ -45,8 +45,8 @@ search_index = "form-demo-index-5"
 openai_key = find_secret(
     secret_name="openai-api-key", keyvault="mmlspark-build-keys"
 )  # Replace the call to find_secret with your key as a python string.
-openai_service_name = "synapseml-openai"
-openai_deployment_name = "gpt-35-turbo"
+openai_service_name = "synapseml-openai-2"
+openai_deployment_name = "gpt-35-turbo-0125"
 openai_url = f"https://{openai_service_name}.openai.azure.com/"
 ```