bug: Upgrade openai library following the langchain upgrade.

lib/model-interfaces/langchain/functions/request-handler/adapters/azureopenai/azuregpt.py

@@ -1,5 +1,5 @@
 import os
-from langchain_community.chat_models import AzureChatOpenAI
+from langchain_openai import AzureChatOpenAI
 
 from ..base import ModelAdapter
 from genai_core.registry import registry
@@ -24,7 +24,7 @@ def get_llm(self, model_kwargs={}):
             params["max_tokens"] = model_kwargs["maxTokens"]
 
         return AzureChatOpenAI(
-            openai_api_base=os.environ.get(f"AZURE_OPENAI_API_BASE__{self.model_id}"),
+            azure_endpoint=os.environ.get(f"AZURE_OPENAI_API_BASE__{self.model_id}"),
             deployment_name=os.environ.get(
                 f"AZURE_OPENAI_API_DEPLOYMENT_NAME__{self.model_id}"
             ),

lib/model-interfaces/langchain/functions/request-handler/adapters/openai/gpt.py

@@ -1,5 +1,5 @@
 import os
-from langchain_community.chat_models import ChatOpenAI
+from langchain_openai import ChatOpenAI
 from ..base import ModelAdapter
 from genai_core.registry import registry
 

lib/shared/file-import-batch-job/requirements.txt

@@ -11,7 +11,7 @@ psycopg2-binary==2.9.7
 pgvector==0.2.2
 pydantic==2.4.0
 urllib3<2
-openai==0.28.0
+openai==1.47.0
 beautifulsoup4==4.12.2
 requests==2.32.2
 attrs==23.1.0

lib/shared/layers/common/requirements.txt

@@ -6,12 +6,13 @@ requests-aws4auth==1.2.3
 langchain==0.2.14
 langchain-community==0.2.12
 langchain-aws==0.1.17
+langchain-openai==0.1.25
+openai==1.47.0
 opensearch-py==2.4.2
 psycopg2-binary==2.9.7
 pgvector==0.2.2
 pydantic==2.4.0
 urllib3<2
-openai==0.28.1
 beautifulsoup4==4.12.2
 requests==2.32.0
 attrs==23.1.0

lib/shared/layers/python-sdk/python/genai_core/embeddings.py

@@ -62,8 +62,8 @@ def _generate_embeddings_openai(model: EmbeddingsModel, input: List[str]):
     if not openai:
         raise CommonError("OpenAI API is not available. Please set OPENAI_API_KEY.")
 
-    data = openai.Embedding.create(input=input, model=model.name)["data"]
-    ret_value = list(map(lambda x: x["embedding"], data))
+    data = openai.embeddings.create(input=input, model=model.name).data
+    ret_value = list(map(lambda x: x.embedding, data))
 
     return ret_value
 

lib/shared/layers/python-sdk/python/genai_core/models.py

@@ -39,21 +39,22 @@ def list_openai_models():
     if not openai:
         return None
 
-    models = openai.Model.list()
+    models = []
+    for model in openai.models.list():
+        if model.id.startswith("gpt"):
+            models.append(
+                {
+                    "provider": Provider.OPENAI.value,
+                    "name": model.id,
+                    "streaming": True,
+                    "inputModalities": [Modality.TEXT.value],
+                    "outputModalities": [Modality.TEXT.value],
+                    "interface": ModelInterface.LANGCHAIN.value,
+                    "ragSupported": True,
+                }
+            )
 
-    return [
-        {
-            "provider": Provider.OPENAI.value,
-            "name": model["id"],
-            "streaming": True,
-            "inputModalities": [Modality.TEXT.value],
-            "outputModalities": [Modality.TEXT.value],
-            "interface": ModelInterface.LANGCHAIN.value,
-            "ragSupported": True,
-        }
-        for model in models.data
-        if model["id"].startswith("gpt")
-    ]
+    return models
 
 
 def list_azure_openai_models():