1.0.0b12 release of azure.ai.projects SDK

.github/CODEOWNERS

@@ -255,7 +255,7 @@
 
 # PRLabel: %AI Projects
 # ServiceLabel: %AI Projects %Service Attention
-/sdk/ai/azure-ai-projects/                                           @dargilco @jhakulin
+/sdk/ai/azure-ai-projects/                                           @dargilco @jhakulin @trangevi @glharper @nick863 @howieleung
 
 
 # PRLabel: %HDInsight

sdk/ai/azure-ai-projects/AGENTS_MIGRATION_GUIDE.md

@@ -1,5 +1,6 @@
-# Agents migration guide from Hub-based projects to Endpoint-based projects.
-This guide describes migration from hub-based to Endpoint-based projects. To create a Endpoint-based project, please use one of the deployment scripts on [foundry samples repository](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/microsoft/infrastructure-setup) appropriate for your scenario, also you can use Azure AI Foundry UI. The support of hub-based projects was dropped in `azure-ai-projects` version `1.0.0b11`. In this document, we show the operation implementation of before `1.0.0b11` in **Hub-based** secion, followed by code for `azure-ai-projects` version `1.0.0b11` or later in **Endpoint-based**.
+# Agents migration guide from Hub-based projects to Endpoint-based projects
+
+This guide describes migration from hub-based to Endpoint-based projects. To create a Endpoint-based project, please use one of the deployment scripts on [foundry samples repository](https://github.com/azure-ai-foundry/foundry-samples/tree/main/samples/microsoft/infrastructure-setup) appropriate for your scenario, also you can use Azure AI Foundry UI. The support of hub-based projects was dropped in `azure-ai-projects` version `1.0.0b11`. In this document, we show the operation implementation of before `1.0.0b11` in **Hub-based** section, followed by code for `azure-ai-projects` version `1.0.0b11` or later in **Endpoint-based**.
 
 ## Import changes
 
@@ -109,9 +110,11 @@ Files Operations
 | `project_client.agents.delete_file` | `project_client.agents.files.delete` |
 
 ## API changes
+
 1. Create project. The connection string is replaced by the endpoint. The project endpoint URL has the form https://\<your-ai-services-account-name\>.services.ai.azure.com/api/projects/\<your-project-name\>. It can be found in your Azure AI Foundry Project overview page.
 
     **Hub-based**
+
     ```python
     project_client = AIProjectClient.from_connection_string(
         credential=DefaultAzureCredential(),
@@ -120,22 +123,27 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     project_client = AIProjectClient(endpoint=endpoint, credential=DefaultAzureCredential())
     ```
+
 2. Crate an agent. In the new versions of SDK, the agent can be created using project client or directly created by using `AgentsClient` constructor. In the code below, `project_client.agents`is an `AgentsClient` instance so `project_client.agents` and `agents_client` can be used interchangeably. For simplicity we will use ` project_client.agents `.
 
     **Hub-based**
+
     ```python
     agent = project_client.agents.create_agent(
         model= "gpt-4o",
         name="my-assistant",
         instructions="You are helpful assistant",
     )
     ```
-    **Endpoint-based** 
 
-    Agent is instantiated using `AIProjectClient `
+    **Endpoint-based**
+
+    Agent is instantiated using `AIProjectClient`
+
     ```python
     agent = project_client.agents.create_agent(
         model="gpt-4o",
@@ -145,6 +153,7 @@ Files Operations
     ```
 
     Agent is instantiated using `AgentsClient` constructor:
+
     ```python
     from azure.ai.agents import AgentsClient
 
@@ -158,9 +167,11 @@ Files Operations
         instructions="You are helpful agent",
     )
     ```
+
 3. List agents. New version of SDK allows more convenient ways of listing threads, messages and agents by returning `ItemPaged` and `AsyncItemPaged`. The list of returned items is split by pages, which may be consequently returned to user. Below we will demonstrate this mechanism for agents. The `limit` parameter defines the number of items on the page. This example is also applicable for listing threads, runs, run steps, vector stores, files in vector store, and messages.
 
     **Hub-based**
+
     ```python
     has_more = True
     last_id = None
@@ -173,6 +184,7 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     agents = project_client.agents.list_agents(limit=2)
      # Iterate items by page. Each page will be limited by two items.
@@ -190,29 +202,36 @@ Files Operations
 4. Delete agent. In versions azure-ai-projects 1.0.0b11, all deletion operations used to return deletion status, for example, deletion of agent was returning `AgentDeletionStatus`. In 1.0.0b11 and later, these operations do not return a value.
 
     **Hub-based**
+
     ```python
     deletion_status = project_client.agents.delete_agent(agent.id)
     print(deletion_status.deleted)
     ```
 
     **Endpoint-based**
+
     ```python
     project_client.agents.delete_agent(agent.id)
     ```
 
 5. Create a thread.
 
     **Hub-based**
+
     ```python
     thread = project_client.agents.create_thread()
     ```
+
     **Endpoint-based**
+
     ```python
     thread = project_client.agents.threads.create()
     ```
+
 6. List threads.
 
     **Hub-based**
+
     ```python
     with project_client:
         last_id = None
@@ -229,6 +248,7 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     threads = project_client.agents.threads.list(limit=2)
     # Iterate items by page. Each page will be limited by two items.
@@ -246,42 +266,52 @@ Files Operations
 7. Delete the thread. In previous SDK thread deletion used to return ` ThreadDeletionStatus` object, while in new version it does not return value.
 
     **Hub-based**
+
     ```python
     delete_status = project_client.agents.delete_thread(tread_id)
     print(delete_status.deleted)
     ```
 
     **Endpoint-based**
+
     ```python
     project_client.agents.threads.delete(tread_id)
     ```
+
 8. Create the message on a thread.
 
     **Hub-based**
+
     ```python
     message = project_client.agents.create_message(thread_id=thread.id, role="user", content="The message text.")
     ```
 
     **Endpoint-based**
+
     ```python
     message = agents_client.messages.create(thread_id=thread.id, role="user", content=" The message text."")
     ```
+
 9. Create and get the run.
 
     **Hub-based**
+
     ```python
     run = project_client.agents.runs.create(thread_id=thread.id, agent_id=agent.id)
     run = project_client.agents.get_run(thread_id=thread.id, run_id=run.id)
     ```
 
     **Endpoint-based**
+
     ```python
     run = project_client.agents.runs.create(thread_id=thread.id, agent_id=agent.id)
     run = project_client.agents.runs.get(thread_id=thread.id, run_id=run.id)
     ```
+
 10. List Runs.
 
     **Hub-based**
+
     ```python
     has_more = True
     last_id = None
@@ -294,6 +324,7 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     runs = project_client.agents.runs.list(thread.id)
     for one_run in runs:
@@ -303,6 +334,7 @@ Files Operations
 11. List Run steps.
 
     **Hub-based**
+
     ```python
     has_more = True
     last_id = None
@@ -315,6 +347,7 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     run_steps = project_client.agents.run_steps.list(thread.id, run.id)
     for one_run_step in run_steps:
@@ -324,6 +357,7 @@ Files Operations
 12. Using streams.
 
     **Hub-based**
+
     ```python
     with project_client.agents.create_stream(thread_id=thread.id, agent_id=agent.id) as stream:
         for event_type, event_data, func_return in stream:
@@ -334,6 +368,7 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     with project_client.agents.runs.stream(thread_id=thread.id, agent_id=agent.id, event_handler=MyEventHandler()) as stream:
             for event_type, event_data, func_return in stream:
@@ -346,6 +381,7 @@ Files Operations
 13. List messages.
 
     **Hub-based**
+
     ```python
     messages = project_client.agents.list_messages(thread_id=thread.id)
         # In code below we assume that the number of messages fits one page for brevity.
@@ -356,16 +392,19 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     messages = project_client.agents.messages.list(thread_id=thread.id)
         for msg in messages:
             if msg.text_messages:
                 last_text = msg.text_messages[-1]
                 print(f"{msg.role}: {last_text.text.value}")
     ```
+
 14. Create, list and delete files are now handled by file operations, again, delete call in new SDK version does not return a value.
 
     **Hub-based**
+
     ```python
     # Create file
     file = project_client.agents.upload_file_and_poll(file_path="product_info_1.md", purpose=FilePurpose.AGENTS)
@@ -379,6 +418,7 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     # Create file
     file = project_client.agents.files.upload_and_poll(file_path=asset_file_path, purpose=FilePurpose.AGENTS)
@@ -389,9 +429,11 @@ Files Operations
     # Delete file.
     project_client.agents.files.delete(file_id=file.id)
     ```
+
 15. Create, list vector store files list and delete vector stores.
 
     **Hub-based**
+
     ```python
     # Create a vector store with no file and wait for it to be processed
         vector_store = project_client.agents.create_vector_store_and_poll(file_ids=[file.id], name="sample_vector_store")
@@ -421,6 +463,7 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     # Create a vector store with no file and wait for it to be processed
     vector_store = project_client.agents.vector_stores.create_and_poll(file_ids=[file.id], name="my_vectorstore")
@@ -441,6 +484,7 @@ Files Operations
 16. Vector store batch file search.
 
     **Hub-based**
+
     ```python
     # Batch upload files
     vector_store_file_batch = project_client.agents.create_vector_store_file_batch_and_poll(
@@ -460,6 +504,7 @@ Files Operations
     ```
 
     **Endpoint-based**
+
     ```python
     # Batch upload files
     vector_store_file_batch = project_client.agents.vector_store_file_batches.create_and_poll(

sdk/ai/azure-ai-projects/CHANGELOG.md

@@ -1,5 +1,29 @@
 # Release History
 
+## 1.0.0b12 (2025-06-23)
+
+### Breaking changes
+
+* These 3 methods on `AIProjectClient` were removed: `.inference.get_chat_completions_client()`,
+`.inference.get_embeddings_client()` and `.inference.get_image_embeddings_client()`.
+For guidance on obtaining an authenticated `azure-ai-inference` client for your AI Foundry Project,
+refer to the updated samples in the `samples\inference` directory. For example,
+[sample_chat_completions_with_azure_ai_inference_client.py](https://github.com/Azure/azure-sdk-for-python/blob/main/sdk/ai/azure-ai-projects/samples/inference/sample_chat_completions_with_azure_ai_inference_client.py). Alternatively, use the `.inference.get_azure_openai_client()` method to perform chat completions with an Azure OpenAI client.
+* Method argument name changes:
+  * In method `.indexes.create_or_update()` argument `body` was renamed `index`.
+  * In method `.datasets.create_or_update()` argument `body` was renamed `dataset_version`.
+  * In method `.datasets.pending_upload()` argument `body` was renamed `pending_upload_request`.
+
+### Bugs Fixed
+
+* Fix to package function `enable_telemetry()` to correctly instrument `azure-ai-agents`.
+* Updated RedTeam target type visibility to allow for type being sent in the JSON for redteam run creation.
+
+### Other
+
+* Set dependency on `azure-ai-agents` version `1.0.0` or above,
+now that we have a stable release of the Agents package.
+
 ## 1.0.0b11 (2025-05-15)
 
 There have been significant updates with the release of version 1.0.0b11, including breaking changes.