Azure · howieleung · Apr 17, 2026 · Mar 6, 2026 · Mar 6, 2026 · Mar 6, 2026
@@ -20,9 +20,9 @@ AZURE_AI_PROJECTS_CONSOLE_LOGGING=
 
 # Project endpoint has the format: 
 #  `https://<your-ai-services-account-name>.services.ai.azure.com/api/projects/<your-project-name>`
-AZURE_AI_PROJECT_ENDPOINT=
-AZURE_AI_MODEL_DEPLOYMENT_NAME=
-AZURE_AI_AGENT_NAME=
+FOUNDRY_PROJECT_ENDPOINT=
+FOUNDRY_MODEL_NAME=
+FOUNDRY_AGENT_NAME=
 CONVERSATION_ID=
 CONNECTION_NAME=
 MEMORY_STORE_CHAT_MODEL_DEPLOYMENT_NAME=

@@ -1,5 +1,31 @@
 # Release History
 
+## 2.0.2 (Unreleased)
+
+### Features Added
+
+* Placeholder
+
+### Breaking Changes
+
+* Placeholder
+
+### Bugs Fixed
+
+* Placeholder
+
+### Sample updates
+
+* Renamed environment variable `AZURE_AI_PROJECT_ENDPOINT` to `FOUNDRY_PROJECT_ENDPOINT` in all samples.
+* Renamed environment variable `AZURE_AI_MODEL_DEPLOYMENT_NAME` to `FOUNDRY_MODEL_NAME` in all samples.
+* Renamed environment variable `AZURE_AI_MODEL_AGENT_NAME` to `FOUNDRY_AGENT_NAME` in all samples.
+* Added CSV evaluation sample (`sample_evaluations_builtin_with_csv.py`) demonstrating evaluation with an uploaded CSV dataset.
+* Added synthetic data evaluation samples (`sample_synthetic_data_agent_evaluation.py`) and (`sample_synthetic_data_model_evaluation.py`).
+
+### Other Changes
+
+* Placeholder
+
 ## 2.0.1 (2026-03-12)
 
 ### Bugs Fixed

@@ -54,7 +54,7 @@ To report an issue with the client library, or request additional features, plea
 * Python 3.9 or later.
 * An [Azure subscription][azure_sub].
 * A [project in Microsoft Foundry](https://learn.microsoft.com/azure/foundry/how-to/create-projects).
-* A Foundry project endpoint URL of the form `https://your-ai-services-account-name.services.ai.azure.com/api/projects/your-project-name`. It can be found in your Microsoft Foundry Project home page. Below we will assume the environment variable `AZURE_AI_PROJECT_ENDPOINT` was defined to hold this value.
+* A Foundry project endpoint URL of the form `https://your-ai-services-account-name.services.ai.azure.com/api/projects/your-project-name`. It can be found in your Microsoft Foundry Project home page. Below we will assume the environment variable `FOUNDRY_PROJECT_ENDPOINT` was defined to hold this value.
 * An Entra ID token for authentication. Your application needs an object that implements the [TokenCredential](https://learn.microsoft.com/python/api/azure-core/azure.core.credentials.tokencredential) interface. Code samples here use [DefaultAzureCredential](https://learn.microsoft.com/python/api/azure-identity/azure.identity.defaultazurecredential). To get that working, you will need:
   * An appropriate role assignment. See [Role-based access control in Microsoft Foundry portal](https://learn.microsoft.com/azure/foundry/concepts/rbac-foundry). Role assignment can be done via the "Access Control (IAM)" tab of your Azure AI Project resource in the Azure portal.
   * [Azure CLI](https://learn.microsoft.com/cli/azure/install-azure-cli) installed.
@@ -87,7 +87,7 @@ from azure.identity import DefaultAzureCredential
 
 with (
     DefaultAzureCredential() as credential,
-    AIProjectClient(endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"], credential=credential) as project_client,
+    AIProjectClient(endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], credential=credential) as project_client,
 ):
 ```
 
@@ -107,7 +107,7 @@ from azure.identity.aio import DefaultAzureCredential
 
 async with (
     DefaultAzureCredential() as credential,
-    AIProjectClient(endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"], credential=credential) as project_client,
+    AIProjectClient(endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"], credential=credential) as project_client,
 ):
 ```
 
@@ -117,20 +117,20 @@ async with (
 
 Your Microsoft Foundry project may have one or more AI models deployed. These could be OpenAI models, Microsoft models, or models from other providers. Use the code below to get an authenticated [OpenAI](https://github.com/openai/openai-python?tab=readme-ov-file#usage) client from the [openai](https://pypi.org/project/openai/) package, and execute an example multi-turn "Responses" calls.
 
-The code below assumes the environment variable `AZURE_AI_MODEL_DEPLOYMENT_NAME` is defined. It's the deployment name of an AI model in your Foundry Project. See "Build" menu, under "Models" (First column of the "Deployments" table).
+The code below assumes the environment variable `FOUNDRY_MODEL_NAME` is defined. It's the deployment name of an AI model in your Foundry Project. See "Build" menu, under "Models" (First column of the "Deployments" table).
 
 <!-- SNIPPET:sample_responses_basic.responses -->
 
 ```python
 with project_client.get_openai_client() as openai_client:
     response = openai_client.responses.create(
-        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        model=os.environ["FOUNDRY_MODEL_NAME"],
         input="What is the size of France in square miles?",
     )
     print(f"Response output: {response.output_text}")
 
     response = openai_client.responses.create(
-        model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+        model=os.environ["FOUNDRY_MODEL_NAME"],
         input="And what is the capital city?",
         previous_response_id=response.id,
     )
@@ -145,7 +145,7 @@ See the "responses" folder in the [package samples][samples] for additional samp
 
 The `.agents` property on the `AIProjectClient` gives you access to all Agent operations. Agents use an extension of the OpenAI Responses protocol, so you will need to get an `OpenAI` client to do Agent operations, as shown in the example below.
 
-The code below assumes environment variable `AZURE_AI_MODEL_DEPLOYMENT_NAME` is defined. It's the deployment name of an AI model in your Foundry Project. See "Build" menu, under "Models" (First column of the "Deployments" table).
+The code below assumes environment variable `FOUNDRY_MODEL_NAME` is defined. It's the deployment name of an AI model in your Foundry Project. See "Build" menu, under "Models" (First column of the "Deployments" table).
 
 See the "agents" folder in the [package samples][samples] for an extensive set of samples, including streaming, tool usage and memory store usage.
 
@@ -156,7 +156,7 @@ with project_client.get_openai_client() as openai_client:
     agent = project_client.agents.create_version(
         agent_name="MyAgent",
         definition=PromptAgentDefinition(
-            model=os.environ["AZURE_AI_MODEL_DEPLOYMENT_NAME"],
+            model=os.environ["FOUNDRY_MODEL_NAME"],
             instructions="You are a helpful assistant that answers general questions",
         ),
     )
@@ -177,7 +177,7 @@ with project_client.get_openai_client() as openai_client:
         conversation_id=conversation.id,
         items=[{"type": "message", "role": "user", "content": "And what is the capital city?"}],
     )
-    print(f"Added a second user message to the conversation")
+    print("Added a second user message to the conversation")
 
     response = openai_client.responses.create(
         conversation=conversation.id,
@@ -229,7 +229,7 @@ the `code_interpreter_call` output item:
 
 ```python
 code = next((output.code for output in response.output if output.type == "code_interpreter_call"), "")
-print(f"Code Interpreter code:")
+print("Code Interpreter code:")
 print(code)
 ```
 
@@ -246,7 +246,9 @@ asset_file_path = os.path.abspath(
 )
 
 # Upload the CSV file for the code interpreter
-file = openai_client.files.create(purpose="assistants", file=open(asset_file_path, "rb"))
+with open(asset_file_path, "rb") as f:
+    file = openai_client.files.create(purpose="assistants", file=f)
+
 tool = CodeInterpreterTool(container=AutoCodeInterpreterToolParam(file_ids=[file.id]))
 ```
 
@@ -273,9 +275,8 @@ print(f"Vector store created (id: {vector_store.id})")
 asset_file_path = os.path.abspath(os.path.join(os.path.dirname(__file__), "../assets/product_info.md"))
 
 # Upload file to vector store
-file = openai_client.vector_stores.files.upload_and_poll(
-    vector_store_id=vector_store.id, file=open(asset_file_path, "rb")
-)
+with open(asset_file_path, "rb") as f:
+    file = openai_client.vector_stores.files.upload_and_poll(vector_store_id=vector_store.id, file=f)
 print(f"File uploaded to vector store (id: {file.id})")
 
 tool = FileSearchTool(vector_store_ids=[vector_store.id])
@@ -415,7 +416,7 @@ Call external APIs defined by OpenAPI specifications without additional client-s
 <!-- SNIPPET:sample_agent_openapi.tool_declaration-->
 
 ```python
-with open(weather_asset_file_path, "r") as f:
+with open(weather_asset_file_path, "r", encoding="utf-8") as f:
     openapi_weather = cast(dict[str, Any], jsonref.loads(f.read()))
 
 tool = OpenApiTool(
@@ -765,7 +766,7 @@ with (
     project_client.get_openai_client() as openai_client,
 ):
     agent = project_client.agents.create_version(
-        agent_name=os.environ["AZURE_AI_AGENT_NAME"],
+        agent_name=os.environ["FOUNDRY_AGENT_NAME"],
         definition=PromptAgentDefinition(
             model=model_deployment_name,
             instructions="You are a helpful assistant that answers general questions",
@@ -1357,7 +1358,7 @@ By default logs redact the values of URL query strings, the values of some HTTP
 ```python
 project_client = AIProjectClient(
     credential=DefaultAzureCredential(),
-    endpoint=os.environ["AZURE_AI_PROJECT_ENDPOINT"],
+    endpoint=os.environ["FOUNDRY_PROJECT_ENDPOINT"],
     logging_enable=True
 )
 ```

@@ -84,6 +84,7 @@
         "azure.ai.projects.models.DeleteAgentResponse": "Azure.AI.Projects.DeleteAgentResponse",
         "azure.ai.projects.models.DeleteAgentVersionResponse": "Azure.AI.Projects.DeleteAgentVersionResponse",
         "azure.ai.projects.models.DeleteMemoryStoreResult": "Azure.AI.Projects.DeleteMemoryStoreResponse",
+        "azure.ai.projects.models.DeleteToolsetResponse": "Azure.AI.Projects.DeleteToolsetResponse",
         "azure.ai.projects.models.Deployment": "Azure.AI.Projects.Deployment",
         "azure.ai.projects.models.EmbeddingConfiguration": "Azure.AI.Projects.EmbeddingConfiguration",
         "azure.ai.projects.models.EntraIDCredentials": "Azure.AI.Projects.EntraIDCredentials",
@@ -102,6 +103,7 @@
         "azure.ai.projects.models.ScheduleTask": "Azure.AI.Projects.ScheduleTask",
         "azure.ai.projects.models.EvaluationScheduleTask": "Azure.AI.Projects.EvaluationScheduleTask",
         "azure.ai.projects.models.EvaluationTaxonomy": "Azure.AI.Projects.EvaluationTaxonomy",
+        "azure.ai.projects.models.EvaluatorCredentialRequest": "Azure.AI.Projects.EvaluatorCredentialRequest",
         "azure.ai.projects.models.EvaluatorMetric": "Azure.AI.Projects.EvaluatorMetric",
         "azure.ai.projects.models.EvaluatorVersion": "Azure.AI.Projects.EvaluatorVersion",
         "azure.ai.projects.models.FabricDataAgentToolParameters": "Azure.AI.Projects.FabricDataAgentToolParameters",
@@ -204,6 +206,7 @@
         "azure.ai.projects.models.ToolChoiceWebSearchPreview20250311": "OpenAI.ToolChoiceWebSearchPreview20250311",
         "azure.ai.projects.models.ToolDescription": "Azure.AI.Projects.ToolDescription",
         "azure.ai.projects.models.ToolProjectConnection": "Azure.AI.Projects.ToolProjectConnection",
+        "azure.ai.projects.models.ToolsetObject": "Azure.AI.Projects.ToolsetObject",
         "azure.ai.projects.models.UserProfileMemoryItem": "Azure.AI.Projects.UserProfileMemoryItem",
         "azure.ai.projects.models.WebSearchApproximateLocation": "OpenAI.WebSearchApproximateLocation",
         "azure.ai.projects.models.WebSearchConfiguration": "Azure.AI.Projects.WebSearchConfiguration",
@@ -212,6 +215,8 @@
         "azure.ai.projects.models.WebSearchToolFilters": "OpenAI.WebSearchToolFilters",
         "azure.ai.projects.models.WeeklyRecurrenceSchedule": "Azure.AI.Projects.WeeklyRecurrenceSchedule",
         "azure.ai.projects.models.WorkflowAgentDefinition": "Azure.AI.Projects.WorkflowAgentDefinition",
+        "azure.ai.projects.models.WorkIQPreviewTool": "Azure.AI.Projects.WorkIQPreviewTool",
+        "azure.ai.projects.models.WorkIQPreviewToolParameters": "Azure.AI.Projects.WorkIQPreviewToolParameters",
         "azure.ai.projects.models.EvaluationTaxonomyInputType": "Azure.AI.Projects.EvaluationTaxonomyInputType",
         "azure.ai.projects.models.RiskCategory": "Azure.AI.Projects.RiskCategory",
         "azure.ai.projects.models.FoundryFeaturesOptInKeys": "Azure.AI.Projects.FoundryFeaturesOptInKeys",
@@ -220,6 +225,7 @@
         "azure.ai.projects.models.EvaluatorDefinitionType": "Azure.AI.Projects.EvaluatorDefinitionType",
         "azure.ai.projects.models.EvaluatorMetricType": "Azure.AI.Projects.EvaluatorMetricType",
         "azure.ai.projects.models.EvaluatorMetricDirection": "Azure.AI.Projects.EvaluatorMetricDirection",
+        "azure.ai.projects.models.PendingUploadType": "Azure.AI.Projects.PendingUploadType",
         "azure.ai.projects.models.OperationState": "Azure.Core.Foundations.OperationState",
         "azure.ai.projects.models.InsightType": "Azure.AI.Projects.InsightType",
         "azure.ai.projects.models.SampleType": "Azure.AI.Projects.SampleType",
@@ -235,8 +241,7 @@
         "azure.ai.projects.models.RecurrenceType": "Azure.AI.Projects.RecurrenceType",
         "azure.ai.projects.models.DayOfWeek": "Azure.AI.Projects.DayOfWeek",
         "azure.ai.projects.models.ScheduleTaskType": "Azure.AI.Projects.ScheduleTaskType",
-        "azure.ai.projects.models.AgentObjectType": "Azure.AI.Projects.AgentObjectType",
-        "azure.ai.projects.models.AgentKind": "Azure.AI.Projects.AgentKind",
+        "azure.ai.projects.models.ToolsetObjectType": "Azure.AI.Projects.ToolsetObjectType",
         "azure.ai.projects.models.ToolType": "OpenAI.ToolType",
         "azure.ai.projects.models.AzureAISearchQueryType": "Azure.AI.Projects.AzureAISearchQueryType",
         "azure.ai.projects.models.ContainerMemoryLimit": "OpenAI.ContainerMemoryLimit",
@@ -251,6 +256,8 @@
         "azure.ai.projects.models.FunctionShellToolParamEnvironmentType": "OpenAI.FunctionShellToolParamEnvironmentType",
         "azure.ai.projects.models.ContainerSkillType": "OpenAI.ContainerSkillType",
         "azure.ai.projects.models.SearchContextSize": "OpenAI.SearchContextSize",
+        "azure.ai.projects.models.AgentObjectType": "Azure.AI.Projects.AgentObjectType",
+        "azure.ai.projects.models.AgentKind": "Azure.AI.Projects.AgentKind",
         "azure.ai.projects.models.AgentProtocol": "Azure.AI.Projects.AgentProtocol",
         "azure.ai.projects.models.ToolChoiceParamType": "OpenAI.ToolChoiceParamType",
         "azure.ai.projects.models.TextResponseFormatConfigurationType": "OpenAI.TextResponseFormatConfigurationType",
@@ -260,7 +267,6 @@
         "azure.ai.projects.models.ConnectionType": "Azure.AI.Projects.ConnectionType",
         "azure.ai.projects.models.CredentialType": "Azure.AI.Projects.CredentialType",
         "azure.ai.projects.models.DatasetType": "Azure.AI.Projects.DatasetType",
-        "azure.ai.projects.models.PendingUploadType": "Azure.AI.Projects.PendingUploadType",
         "azure.ai.projects.models.DeploymentType": "Azure.AI.Projects.DeploymentType",
         "azure.ai.projects.models.IndexType": "Azure.AI.Projects.IndexType",
         "azure.ai.projects.models.MemoryStoreUpdateStatus": "Azure.AI.Projects.MemoryStoreUpdateStatus",

@@ -2,5 +2,5 @@
   "AssetsRepo": "Azure/azure-sdk-assets",
   "AssetsRepoPrefixPath": "python",
   "TagPrefix": "python/ai/azure-ai-projects",
-  "Tag": "python/ai/azure-ai-projects_e907ded382"
+  "Tag": "python/ai/azure-ai-projects_5b25ba9450"
 }
@@ -12,7 +12,7 @@
 import re
 import logging
 from typing import List, Any
-import httpx
+import httpx  # pylint: disable=networking-import-outside-azure-core-transport
 from openai import OpenAI
 from azure.core.tracing.decorator import distributed_trace
 from azure.core.credentials import TokenCredential

@@ -6,4 +6,4 @@
 # Changes may cause incorrect behavior and will be lost if the code is regenerated.
 # --------------------------------------------------------------------------
 
-VERSION = "2.0.1"
+VERSION = "2.0.2"
@@ -11,7 +11,7 @@
 import os
 import logging
 from typing import List, Any
-import httpx
+import httpx  # pylint: disable=networking-import-outside-azure-core-transport
 from openai import AsyncOpenAI
 from azure.core.tracing.decorator import distributed_trace
 from azure.core.credentials_async import AsyncTokenCredential