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Python: [BREAKING] Replaced AIProjectClient with AgentsClient in Foundry (#1936)
* Replaced AIProjectClient with AgentsClient in Foundry * Update python/samples/getting_started/observability/azure_ai_agent_observability.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/samples/getting_started/observability/azure_ai_chat_client_with_observability.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Small fix * Removed TODO item --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Dmytro Struk
committed by
GitHub
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GitHub
parent
8855bfb065
commit
d701e796cb
@@ -2,7 +2,8 @@
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import importlib.metadata
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from ._chat_client import AzureAIAgentClient, AzureAISettings
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from ._chat_client import AzureAIAgentClient
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from ._shared import AzureAISettings
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try:
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__version__ = importlib.metadata.version(__name__)
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@@ -40,9 +40,9 @@ from agent_framework import (
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use_chat_middleware,
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use_function_invocation,
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)
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from agent_framework._pydantic import AFBaseSettings
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from agent_framework.exceptions import ServiceInitializationError, ServiceResponseException
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from agent_framework.observability import use_observability
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from azure.ai.agents.aio import AgentsClient
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from azure.ai.agents.models import (
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Agent,
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AgentsNamedToolChoice,
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@@ -85,11 +85,11 @@ from azure.ai.agents.models import (
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ToolDefinition,
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ToolOutput,
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)
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from azure.ai.projects.aio import AIProjectClient
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from azure.core.credentials_async import AsyncTokenCredential
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from azure.core.exceptions import HttpResponseError, ResourceNotFoundError
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from pydantic import ValidationError
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from ._shared import AzureAISettings
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if sys.version_info >= (3, 11):
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from typing import Self # pragma: no cover
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else:
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@@ -99,47 +99,6 @@ else:
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logger = get_logger("agent_framework.azure")
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class AzureAISettings(AFBaseSettings):
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"""Azure AI Project settings.
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The settings are first loaded from environment variables with the prefix 'AZURE_AI_'.
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If the environment variables are not found, the settings can be loaded from a .env file
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with the encoding 'utf-8'. If the settings are not found in the .env file, the settings
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are ignored; however, validation will fail alerting that the settings are missing.
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Keyword Args:
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project_endpoint: The Azure AI Project endpoint URL.
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Can be set via environment variable AZURE_AI_PROJECT_ENDPOINT.
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model_deployment_name: The name of the model deployment to use.
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Can be set via environment variable AZURE_AI_MODEL_DEPLOYMENT_NAME.
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env_file_path: If provided, the .env settings are read from this file path location.
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env_file_encoding: The encoding of the .env file, defaults to 'utf-8'.
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Examples:
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.. code-block:: python
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from agent_framework_azure_ai import AzureAISettings
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# Using environment variables
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# Set AZURE_AI_PROJECT_ENDPOINT=https://your-project.cognitiveservices.azure.com
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# Set AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4
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settings = AzureAISettings()
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# Or passing parameters directly
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settings = AzureAISettings(
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project_endpoint="https://your-project.cognitiveservices.azure.com", model_deployment_name="gpt-4"
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)
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# Or loading from a .env file
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settings = AzureAISettings(env_file_path="path/to/.env")
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"""
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env_prefix: ClassVar[str] = "AZURE_AI_"
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project_endpoint: str | None = None
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model_deployment_name: str | None = None
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TAzureAIAgentClient = TypeVar("TAzureAIAgentClient", bound="AzureAIAgentClient")
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@@ -154,7 +113,7 @@ class AzureAIAgentClient(BaseChatClient):
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def __init__(
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self,
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*,
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project_client: AIProjectClient | None = None,
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agents_client: AgentsClient | None = None,
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agent_id: str | None = None,
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agent_name: str | None = None,
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thread_id: str | None = None,
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@@ -169,16 +128,16 @@ class AzureAIAgentClient(BaseChatClient):
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"""Initialize an Azure AI Agent client.
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Keyword Args:
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project_client: An existing AIProjectClient to use. If not provided, one will be created.
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agent_id: The ID of an existing agent to use. If not provided and project_client is provided,
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a new agent will be created (and deleted after the request). If neither project_client
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agents_client: An existing AgentsClient to use. If not provided, one will be created.
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agent_id: The ID of an existing agent to use. If not provided and agents_client is provided,
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a new agent will be created (and deleted after the request). If neither agents_client
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nor agent_id is provided, both will be created and managed automatically.
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agent_name: The name to use when creating new agents.
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thread_id: Default thread ID to use for conversations. Can be overridden by
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conversation_id property when making a request.
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project_endpoint: The Azure AI Project endpoint URL.
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Can also be set via environment variable AZURE_AI_PROJECT_ENDPOINT.
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Ignored when a project_client is passed.
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Ignored when a agents_client is passed.
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model_deployment_name: The model deployment name to use for agent creation.
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Can also be set via environment variable AZURE_AI_MODEL_DEPLOYMENT_NAME.
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async_credential: Azure async credential to use for authentication.
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@@ -221,9 +180,9 @@ class AzureAIAgentClient(BaseChatClient):
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except ValidationError as ex:
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raise ServiceInitializationError("Failed to create Azure AI settings.", ex) from ex
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# If no project_client is provided, create one
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# If no agents_client is provided, create one
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should_close_client = False
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if project_client is None:
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if agents_client is None:
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if not azure_ai_settings.project_endpoint:
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raise ServiceInitializationError(
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"Azure AI project endpoint is required. Set via 'project_endpoint' parameter "
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@@ -238,8 +197,8 @@ class AzureAIAgentClient(BaseChatClient):
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# Use provided credential
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if not async_credential:
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raise ServiceInitializationError("Azure credential is required when project_client is not provided.")
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project_client = AIProjectClient(
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raise ServiceInitializationError("Azure credential is required when agents_client is not provided.")
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agents_client = AgentsClient(
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endpoint=azure_ai_settings.project_endpoint,
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credential=async_credential,
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user_agent=AGENT_FRAMEWORK_USER_AGENT,
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@@ -250,7 +209,7 @@ class AzureAIAgentClient(BaseChatClient):
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super().__init__(**kwargs)
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# Initialize instance variables
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self.project_client = project_client
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self.agents_client = agents_client
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self.credential = async_credential
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self.agent_id = agent_id
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self.agent_name = agent_name
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@@ -261,27 +220,6 @@ class AzureAIAgentClient(BaseChatClient):
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self._should_close_client = should_close_client # Track whether we should close client connection
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self._agent_definition: Agent | None = None # Cached definition for existing agent
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async def setup_azure_ai_observability(self, enable_sensitive_data: bool | None = None) -> None:
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"""Use this method to setup tracing in your Azure AI Project.
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This will take the connection string from the project project_client.
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It will override any connection string that is set in the environment variables.
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It will disable any OTLP endpoint that might have been set.
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"""
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try:
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conn_string = await self.project_client.telemetry.get_application_insights_connection_string()
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except ResourceNotFoundError:
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logger.warning(
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"No Application Insights connection string found for the Azure AI Project, "
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"please call setup_observability() manually."
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)
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return
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from agent_framework.observability import setup_observability
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setup_observability(
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applicationinsights_connection_string=conn_string, enable_sensitive_data=enable_sensitive_data
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)
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async def __aenter__(self) -> "Self":
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"""Async context manager entry."""
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return self
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@@ -291,7 +229,7 @@ class AzureAIAgentClient(BaseChatClient):
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await self.close()
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async def close(self) -> None:
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"""Close the project_client and clean up any agents we created."""
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"""Close the agents_client and clean up any agents we created."""
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await self._cleanup_agent_if_needed()
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await self._close_client_if_needed()
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@@ -303,7 +241,7 @@ class AzureAIAgentClient(BaseChatClient):
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settings: A dictionary of settings for the service.
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"""
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return cls(
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project_client=settings.get("project_client"),
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agents_client=settings.get("agents_client"),
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agent_id=settings.get("agent_id"),
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thread_id=settings.get("thread_id"),
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project_endpoint=settings.get("project_endpoint"),
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@@ -380,11 +318,14 @@ class AzureAIAgentClient(BaseChatClient):
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args["instructions"] = run_options["instructions"]
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if "response_format" in run_options:
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args["response_format"] = run_options["response_format"]
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if "temperature" in run_options:
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args["temperature"] = run_options["temperature"]
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if "top_p" in run_options:
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args["top_p"] = run_options["top_p"]
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created_agent = await self.project_client.agents.create_agent(**args)
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created_agent = await self.agents_client.create_agent(**args)
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self.agent_id = str(created_agent.id)
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self._agent_definition = created_agent
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self._agent_created = True
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@@ -428,7 +369,7 @@ class AzureAIAgentClient(BaseChatClient):
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args["tool_outputs"] = tool_outputs
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if tool_approvals:
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args["tool_approvals"] = tool_approvals
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await self.project_client.agents.runs.submit_tool_outputs_stream(**args) # type: ignore[reportUnknownMemberType]
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await self.agents_client.runs.submit_tool_outputs_stream(**args) # type: ignore[reportUnknownMemberType]
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# Pass the handler to the stream to continue processing
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stream = handler # type: ignore
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final_thread_id = thread_run.thread_id
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@@ -438,7 +379,7 @@ class AzureAIAgentClient(BaseChatClient):
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# Now create a new run and stream the results.
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run_options.pop("conversation_id", None)
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stream = await self.project_client.agents.runs.stream( # type: ignore[reportUnknownMemberType]
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stream = await self.agents_client.runs.stream( # type: ignore[reportUnknownMemberType]
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final_thread_id, agent_id=agent_id, **run_options
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)
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@@ -449,9 +390,7 @@ class AzureAIAgentClient(BaseChatClient):
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if thread_id is None:
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return None
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async for run in self.project_client.agents.runs.list(
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thread_id=thread_id, limit=1, order=ListSortOrder.DESCENDING
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): # type: ignore[reportUnknownMemberType]
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async for run in self.agents_client.runs.list(thread_id=thread_id, limit=1, order=ListSortOrder.DESCENDING): # type: ignore[reportUnknownMemberType]
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if run.status not in [
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RunStatus.COMPLETED,
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RunStatus.CANCELLED,
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@@ -468,12 +407,12 @@ class AzureAIAgentClient(BaseChatClient):
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if thread_id is not None:
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if thread_run is not None:
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# There was an active run; we need to cancel it before starting a new run.
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await self.project_client.agents.runs.cancel(thread_id, thread_run.id)
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await self.agents_client.runs.cancel(thread_id, thread_run.id)
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return thread_id
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# No thread ID was provided, so create a new thread.
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thread = await self.project_client.agents.threads.create(
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thread = await self.agents_client.threads.create(
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tool_resources=run_options.get("tool_resources"), metadata=run_options.get("metadata")
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)
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thread_id = thread.id
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@@ -482,7 +421,7 @@ class AzureAIAgentClient(BaseChatClient):
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# once fixed, in the function above, readd:
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# `messages=run_options.pop("additional_messages")`
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for msg in run_options.pop("additional_messages", []):
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await self.project_client.agents.messages.create(
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await self.agents_client.messages.create(
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thread_id=thread_id, role=msg.role, content=msg.content, metadata=msg.metadata
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)
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# and remove until here.
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@@ -715,21 +654,21 @@ class AzureAIAgentClient(BaseChatClient):
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return []
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async def _close_client_if_needed(self) -> None:
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"""Close project_client session if we created it."""
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"""Close agents_client session if we created it."""
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if self._should_close_client:
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await self.project_client.close()
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await self.agents_client.close()
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async def _cleanup_agent_if_needed(self) -> None:
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"""Clean up the agent if we created it."""
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if self._agent_created and self.should_cleanup_agent and self.agent_id is not None:
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await self.project_client.agents.delete_agent(self.agent_id)
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await self.agents_client.delete_agent(self.agent_id)
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self.agent_id = None
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self._agent_created = False
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async def _load_agent_definition_if_needed(self) -> Agent | None:
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"""Load and cache agent details if not already loaded."""
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if self._agent_definition is None and self.agent_id is not None:
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self._agent_definition = await self.project_client.agents.get_agent(self.agent_id)
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self._agent_definition = await self.agents_client.get_agent(self.agent_id)
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return self._agent_definition
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def _prepare_tool_choice(self, chat_options: ChatOptions) -> None:
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@@ -919,59 +858,34 @@ class AzureAIAgentClient(BaseChatClient):
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config_args["market"] = market
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if set_lang := additional_props.get("set_lang"):
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config_args["set_lang"] = set_lang
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# Bing Grounding (support both connection_id and connection_name)
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# Bing Grounding
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connection_id = additional_props.get("connection_id") or os.getenv("BING_CONNECTION_ID")
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connection_name = additional_props.get("connection_name") or os.getenv("BING_CONNECTION_NAME")
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# Custom Bing Search
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custom_connection_name = additional_props.get("custom_connection_name") or os.getenv(
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"BING_CUSTOM_CONNECTION_NAME"
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custom_connection_id = additional_props.get("custom_connection_id") or os.getenv(
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"BING_CUSTOM_CONNECTION_ID"
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)
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custom_configuration_name = additional_props.get("custom_instance_name") or os.getenv(
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custom_instance_name = additional_props.get("custom_instance_name") or os.getenv(
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"BING_CUSTOM_INSTANCE_NAME"
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)
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bing_search: BingGroundingTool | BingCustomSearchTool | None = None
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if (
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(connection_id or connection_name)
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and not custom_connection_name
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and not custom_configuration_name
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):
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if (connection_id) and not custom_connection_id and not custom_instance_name:
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if connection_id:
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conn_id = connection_id
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elif connection_name:
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try:
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bing_connection = await self.project_client.connections.get(name=connection_name)
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except HttpResponseError as err:
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raise ServiceInitializationError(
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f"Bing connection '{connection_name}' not found in the Azure AI Project.",
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err,
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) from err
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else:
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conn_id = bing_connection.id
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else:
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raise ServiceInitializationError("Neither connection_id nor connection_name provided.")
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raise ServiceInitializationError("Parameter connection_id is not provided.")
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bing_search = BingGroundingTool(connection_id=conn_id, **config_args)
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if custom_connection_name and custom_configuration_name:
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try:
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bing_custom_connection = await self.project_client.connections.get(
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name=custom_connection_name
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)
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except HttpResponseError as err:
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raise ServiceInitializationError(
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f"Bing custom connection '{custom_connection_name}' not found in the Azure AI Project.",
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err,
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) from err
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else:
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bing_search = BingCustomSearchTool(
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connection_id=bing_custom_connection.id,
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instance_name=custom_configuration_name,
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**config_args,
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)
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if custom_connection_id and custom_instance_name:
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bing_search = BingCustomSearchTool(
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connection_id=custom_connection_id,
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instance_name=custom_instance_name,
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**config_args,
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)
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if not bing_search:
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raise ServiceInitializationError(
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"Bing search tool requires either 'connection_id' or 'connection_name' for Bing Grounding "
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"or both 'custom_connection_name' and 'custom_instance_name' for Custom Bing Search. "
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"Bing search tool requires either 'connection_id' for Bing Grounding "
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"or both 'custom_connection_id' and 'custom_instance_name' for Custom Bing Search. "
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"These can be provided via additional_properties or environment variables: "
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"'BING_CONNECTION_ID', 'BING_CONNECTION_NAME', 'BING_CUSTOM_CONNECTION_NAME', "
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"'BING_CONNECTION_ID', 'BING_CUSTOM_CONNECTION_ID', "
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"'BING_CUSTOM_INSTANCE_NAME'"
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)
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tool_definitions.extend(bing_search.definitions)
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@@ -1062,4 +976,4 @@ class AzureAIAgentClient(BaseChatClient):
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Returns:
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The service URL for the chat client, or None if not set.
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"""
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return self.project_client._config.endpoint
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return self.agents_client._config.endpoint # type: ignore
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@@ -0,0 +1,46 @@
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# Copyright (c) Microsoft. All rights reserved.
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from typing import ClassVar
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from agent_framework._pydantic import AFBaseSettings
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class AzureAISettings(AFBaseSettings):
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"""Azure AI Project settings.
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|
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The settings are first loaded from environment variables with the prefix 'AZURE_AI_'.
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If the environment variables are not found, the settings can be loaded from a .env file
|
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with the encoding 'utf-8'. If the settings are not found in the .env file, the settings
|
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are ignored; however, validation will fail alerting that the settings are missing.
|
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|
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Keyword Args:
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project_endpoint: The Azure AI Project endpoint URL.
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Can be set via environment variable AZURE_AI_PROJECT_ENDPOINT.
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model_deployment_name: The name of the model deployment to use.
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Can be set via environment variable AZURE_AI_MODEL_DEPLOYMENT_NAME.
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env_file_path: If provided, the .env settings are read from this file path location.
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env_file_encoding: The encoding of the .env file, defaults to 'utf-8'.
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Examples:
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.. code-block:: python
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from agent_framework.azure import AzureAISettings
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# Using environment variables
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# Set AZURE_AI_PROJECT_ENDPOINT=https://your-project.cognitiveservices.azure.com
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# Set AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4
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settings = AzureAISettings()
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# Or passing parameters directly
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settings = AzureAISettings(
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project_endpoint="https://your-project.cognitiveservices.azure.com", model_deployment_name="gpt-4"
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)
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||||
|
||||
# Or loading from a .env file
|
||||
settings = AzureAISettings(env_file_path="path/to/.env")
|
||||
"""
|
||||
|
||||
env_prefix: ClassVar[str] = "AZURE_AI_"
|
||||
|
||||
project_endpoint: str | None = None
|
||||
model_deployment_name: str | None = None
|
||||
@@ -44,31 +44,30 @@ def azure_ai_unit_test_env(monkeypatch, exclude_list, override_env_param_dict):
|
||||
|
||||
|
||||
@fixture
|
||||
def mock_ai_project_client() -> MagicMock:
|
||||
"""Fixture that provides a mock AIProjectClient."""
|
||||
def mock_agents_client() -> MagicMock:
|
||||
"""Fixture that provides a mock AgentsClient."""
|
||||
mock_client = MagicMock()
|
||||
|
||||
# Mock agents property
|
||||
mock_client.agents = MagicMock()
|
||||
mock_client.agents.create_agent = AsyncMock()
|
||||
mock_client.agents.delete_agent = AsyncMock()
|
||||
mock_client.create_agent = AsyncMock()
|
||||
mock_client.delete_agent = AsyncMock()
|
||||
|
||||
# Mock agent creation response
|
||||
mock_agent = MagicMock()
|
||||
mock_agent.id = "test-agent-id"
|
||||
mock_client.agents.create_agent.return_value = mock_agent
|
||||
mock_client.create_agent.return_value = mock_agent
|
||||
|
||||
# Mock threads property
|
||||
mock_client.agents.threads = MagicMock()
|
||||
mock_client.agents.threads.create = AsyncMock()
|
||||
mock_client.agents.messages.create = AsyncMock()
|
||||
mock_client.threads = MagicMock()
|
||||
mock_client.threads.create = AsyncMock()
|
||||
mock_client.messages.create = AsyncMock()
|
||||
|
||||
# Mock runs property
|
||||
mock_client.agents.runs = MagicMock()
|
||||
mock_client.agents.runs.list = AsyncMock()
|
||||
mock_client.agents.runs.cancel = AsyncMock()
|
||||
mock_client.agents.runs.stream = AsyncMock()
|
||||
mock_client.agents.runs.submit_tool_outputs_stream = AsyncMock()
|
||||
mock_client.runs = MagicMock()
|
||||
mock_client.runs.list = AsyncMock()
|
||||
mock_client.runs.cancel = AsyncMock()
|
||||
mock_client.runs.stream = AsyncMock()
|
||||
mock_client.runs.submit_tool_outputs_stream = AsyncMock()
|
||||
|
||||
return mock_client
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -10,8 +10,6 @@ Required Environment Variables:
|
||||
AZURE_AI_MODEL_DEPLOYMENT_NAME: Name of the model deployment to use
|
||||
|
||||
Optional Environment Variables:
|
||||
BING_CONNECTION_NAME: Name of the Bing connection for web search
|
||||
OR
|
||||
BING_CONNECTION_ID: ID of the Bing connection for web search
|
||||
|
||||
Authentication:
|
||||
@@ -21,7 +19,7 @@ Authentication:
|
||||
Example:
|
||||
export AZURE_AI_PROJECT_ENDPOINT="https://your-project.azure.com"
|
||||
export AZURE_AI_MODEL_DEPLOYMENT_NAME="gpt-4o"
|
||||
export BING_CONNECTION_NAME="bing-grounding-connection"
|
||||
export BING_CONNECTION_ID="connection-id"
|
||||
az login
|
||||
"""
|
||||
|
||||
|
||||
Reference in New Issue
Block a user