fix(agent/llm): Fix support for AzureOpenAI (#6927)

* Fix unmasking of `azure_endpoint` in `OpenAICredentials.get_api_access_kwargs()`
* Amend `ApiManager.get_models` to use `AzureOpenAI` client when `api_type` is set to `azure`

---------

Co-authored-by: Reinier van der Leer <pwuts@agpt.co>

autogpts/autogpt/autogpt/core/resource/model_providers/openai.py

@@ -243,7 +243,8 @@ class OpenAICredentials(ModelProviderCredentials):
         }
         if self.api_type == "azure":
             kwargs["api_version"] = self.api_version
-            kwargs["azure_endpoint"] = self.azure_endpoint
+            assert self.azure_endpoint, "Azure endpoint not configured"
+            kwargs["azure_endpoint"] = self.azure_endpoint.get_secret_value()
         return kwargs
 
     def get_model_access_kwargs(self, model: str) -> dict[str, str]:

autogpts/autogpt/autogpt/llm/api_manager.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 import logging
 from typing import List, Optional
 
-from openai import OpenAI
+from openai import OpenAI, AzureOpenAI
 from openai.types import Model
 
 from autogpt.core.resource.model_providers.openai import (
@@ -107,9 +107,18 @@ class ApiManager(metaclass=Singleton):
             list[Model]: List of available GPT models.
         """
         if self.models is None:
-            all_models = (
-                OpenAI(**openai_credentials.get_api_access_kwargs()).models.list().data
-            )
+            if openai_credentials.api_type == "azure":
+                all_models = (
+                    AzureOpenAI(**openai_credentials.get_api_access_kwargs())
+                    .models.list()
+                    .data
+                )
+            else:
+                all_models = (
+                    OpenAI(**openai_credentials.get_api_access_kwargs())
+                    .models.list()
+                    .data
+                )
             self.models = [model for model in all_models if "gpt" in model.id]
 
         return self.models