Python: Azure AI client based on new azure-ai-projects package (#1910)

* Added changes (#1909) * Python: [Feature Branch] Renamed Azure AI agent and small fixes (#1919) * Renaming * Small fixes * Update python/packages/core/agent_framework/openai/_shared.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Small fix * Python: [Feature Branch] Added use_latest_version parameter to AzureAIClient (#1959) * Added use_latest_version parameter to AzureAIClient * Added unit tests * Update python/samples/getting_started/agents/azure_ai/azure_ai_use_latest_version.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/packages/azure-ai/agent_framework_azure_ai/_client.py Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> * Python: [Feature Branch] Structured Outputs and more examples for AzureAIClient (#1987) * Small updates * Added support for structured outputs * Added code interpreter example * More examples and fixes * Added more examples and README * Small fix * Addressed PR feedback * Removed optional ID from FunctionResultContent (#2011) * Added hosted MCP support (#2018) * Python: [Feature Branch] Fixed "store" parameter handling (#2069) * Fixed store parameter handling * Small fix * Python: [Feature Branch] Added more examples and fixes for Azure AI agent (#2077) * Updated azure-ai-projects package version * Added an example of hosted MCP with approval required * Updated code interpreter example * Added file search example * Update python/samples/getting_started/agents/azure_ai/azure_ai_with_file_search.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update python/samples/getting_started/agents/azure_ai/azure_ai_with_file_search.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Small fix --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Added handling for conversation_id (#2098) * Merge from main * Revert "Merge from main" This reverts commit b8206a85d7. * Python: [Feature Branch] Merge from main to Azure AI branch (#2111) * Do not build DevUI assets during .NET project build (#2010) * .NET: Add unit tests for declarative executor SetMultipleVariables (#2016) * Add unit tests for create conversation executor * Update indentation and comment typo. * Added unit tests for declarative executor SetMultipleVariablesExecutor * Updated comments and syntactic sugar * Python: DevUI: Use metadata.entity_id instead of model field (#1984) * DevUI: Use metadata.entity_id for agent/workflow name instead of model field * OpenAI Responses: add explicit request validation * Review feedback * .NET: DevUI - Do not automatically add/map OpenAI services/endpoints (#2014) * Don't add OpenAIResponses as part of Dev UI You should be able to add and remove Dev UI without impacting your other production endpoints. * Remove `AddDevUI()` and do not map OpenAI endpoints from `MapDevUI()` * Fix comment wording * Revise documentation --------- Co-authored-by: Daniel Roth <daroth@microsoft.com> * Python: DevUI: Add OpenAI Responses API proxy support + HIL for Workflows (#1737) * DevUI: Add OpenAI Responses API proxy support with enhanced UI features This commit adds support for proxying requests to OpenAI's Responses API, allowing DevUI to route conversations to OpenAI models when configured to enable testing. Backend changes: - Add OpenAI proxy executor with conversation routing logic - Enhance event mapper to support OpenAI Responses API format - Extend server endpoints to handle OpenAI proxy mode - Update models with OpenAI-specific response types - Remove emojis from logging and CLI output for cleaner text Frontend changes: - Add settings modal with OpenAI proxy configuration UI - Enhance agent and workflow views with improved state management - Add new UI components (separator, switch) for settings - Update debug panel with better event filtering - Improve message renderers for OpenAI content types - Update types and API client for OpenAI integration * update ui, settings modal and workflow input form, add register cleanup hooks. * add workflow HIL support, user mode, other fixes * feat(devui): add human-in-the-loop (HIL) support with dynamic response schemas Implement HIL workflow support allowing workflows to pause for user input with dynamically generated JSON schemas based on response handler type hints. Key Features: - Automatic response schema extraction from @response_handler decorators - Dynamic form generation in UI based on Pydantic/dataclass response types - Checkpoint-based conversation storage for HIL requests/responses - Resume workflow execution after user provides HIL response Backend Changes: - Add extract_response_type_from_executor() to introspect response handlers - Enrich RequestInfoEvent with response_schema via _enrich_request_info_event_with_response_schema() - Map RequestInfoEvent to response.input.requested OpenAI event format - Store HIL responses in conversation history and restore checkpoints Frontend Changes: - Add HILInputModal component with SchemaFormRenderer for dynamic forms - Support Pydantic BaseModel and dataclass response types - Render enum fields as dropdowns, strings as text/textarea, numbers, booleans, arrays, objects - Display original request context alongside response form Testing: - Add tests for checkpoint storage (test_checkpoints.py) - Add schema generation tests for all input types (test_schema_generation.py) - Validate end-to-end HIL flow with spam workflow sample This enables workflows to seamlessly pause execution and request structured user input with type-safe, validated forms generated automatically from response type annotations. * improve HIL support, improve workflow execution view * ui updates * ui updates * improve HIL for workflows, add auth and view modes * update workflow * security improvements , ui fixes * fix mypy error * update loading spinner in ui --------- Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com> * .NET: Remove launchSettings.json from .gitignore in dotnet/samples (#2006) * Remove launchSettings.json from .gitignore in dotnet/samples * Update dotnet/samples/GettingStarted/DevUI/DevUI_Step01_BasicUsage/Properties/launchSettings.json Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update dotnet/samples/AGUIClientServer/AGUIServer/Properties/launchSettings.json Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * DevUI: Serialize workflow input as string to maintain conformance with OpenAI Responses format (#2021) Co-authored-by: Victor Dibia <chuvidi2003@gmail.com> * Add Microsoft Agent Framework logo to assets (#2007) * Updated package versions (#2027) * DevUI: Prevent line breaks within words in the agent view (#2024) Co-authored-by: Victor Dibia <chuvidi2003@gmail.com> * .NET [AG-UI]: Adds support for shared state. (#1996) * Product changes * Tests * Dojo project * Cleanups * Python: Fix underlying tool choice bug and all for return to previous Handoff subagent (#2037) * Fix tool_choice override bug and add enable_return_to_previous support * Add unit test for handoff checkpointing * Handle tools when we have them * added missing chatAgent params (#2044) * .NET: fix ChatCompletions Tools serialization (#2043) * fix serialization in chat completions on tools * nit * .NET: assign AgentCard's URL to mapped-endpoint if not defined explicitly (#2047) * fix serialization in chat completions on tools * nit * write e2e test for agent card resolve + adjust behavior * nit * Version 1.0.0-preview.251110.1 (#2048) * .NET: Remove moved OpenAPI sample and point to SK one. (#1997) * Remove moved OpenAPI sample and point to SK one. * Update dotnet/samples/GettingStarted/Agents/README.md Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Bump AWSSDK.Extensions.Bedrock.MEAI from 4.0.4.2 to 4.0.4.6 (#2031) --- updated-dependencies: - dependency-name: AWSSDK.Extensions.Bedrock.MEAI dependency-version: 4.0.4.6 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * .NET: Separate all memory and rag samples into their own folders (#2000) * Separate all memory and rag samples into their own folders * Fix broken link. * Python: .Net: Dotnet devui compatibility fixes (#2026) * DevUI: Add OpenAI Responses API proxy support with enhanced UI features This commit adds support for proxying requests to OpenAI's Responses API, allowing DevUI to route conversations to OpenAI models when configured to enable testing. Backend changes: - Add OpenAI proxy executor with conversation routing logic - Enhance event mapper to support OpenAI Responses API format - Extend server endpoints to handle OpenAI proxy mode - Update models with OpenAI-specific response types - Remove emojis from logging and CLI output for cleaner text Frontend changes: - Add settings modal with OpenAI proxy configuration UI - Enhance agent and workflow views with improved state management - Add new UI components (separator, switch) for settings - Update debug panel with better event filtering - Improve message renderers for OpenAI content types - Update types and API client for OpenAI integration * update ui, settings modal and workflow input form, add register cleanup hooks. * add workflow HIL support, user mode, other fixes * feat(devui): add human-in-the-loop (HIL) support with dynamic response schemas Implement HIL workflow support allowing workflows to pause for user input with dynamically generated JSON schemas based on response handler type hints. Key Features: - Automatic response schema extraction from @response_handler decorators - Dynamic form generation in UI based on Pydantic/dataclass response types - Checkpoint-based conversation storage for HIL requests/responses - Resume workflow execution after user provides HIL response Backend Changes: - Add extract_response_type_from_executor() to introspect response handlers - Enrich RequestInfoEvent with response_schema via _enrich_request_info_event_with_response_schema() - Map RequestInfoEvent to response.input.requested OpenAI event format - Store HIL responses in conversation history and restore checkpoints Frontend Changes: - Add HILInputModal component with SchemaFormRenderer for dynamic forms - Support Pydantic BaseModel and dataclass response types - Render enum fields as dropdowns, strings as text/textarea, numbers, booleans, arrays, objects - Display original request context alongside response form Testing: - Add tests for checkpoint storage (test_checkpoints.py) - Add schema generation tests for all input types (test_schema_generation.py) - Validate end-to-end HIL flow with spam workflow sample This enables workflows to seamlessly pause execution and request structured user input with type-safe, validated forms generated automatically from response type annotations. * improve HIL support, improve workflow execution view * ui updates * ui updates * improve HIL for workflows, add auth and view modes * update workflow * security improvements , ui fixes * fix mypy error * update loading spinner in ui * DevUI: Serialize workflow input as string to maintain conformance with OpenAI Responses format * Phase 1: Add /meta endpoint and fix workflow event naming for .NET DevUI compatibility * additional fixes for .NET DevUI workflow visualization item ID tracking **Problem:** .NET DevUI was generating different item IDs for ExecutorInvokedEvent and ExecutorCompletedEvent, causing only the first executor to highlight in the workflow graph. Long executor names and error messages also broke UI layout. **Changes:** - Add ExecutorActionItemResource to match Python DevUI implementation - Track item IDs per executor using dictionary in AgentRunResponseUpdateExtensions - Reuse same item ID across invoked/completed/failed events for proper pairing - Add truncateText() utility to workflow-utils.ts - Truncate executor names to 35 chars in execution timeline - Truncate error messages to 150 chars in workflow graph nodes ** Details:** - ExecutorActionItemResource registered with JSON source generation context - Dictionary cleaned up after executor completion/failure to prevent memory leaks - Frontend item tracking by unique item.id supports multiple executor runs - All changes follow existing codebase patterns and conventions Tested with review-workflow showing correct executor highlighting and state transitions for sequential and concurrent executors. * format fixes, remove cors tests * remove unecessary attributes --------- Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com> Co-authored-by: Reuben Bond <reuben.bond@gmail.com> * DevUI: support having both an agent and a workflow with the same id in discovery (#2023) * Python: Fix Model ID attribute not showing up in `invoke_agent` span (#2061) * Best effort to surface the model id to invoke agent span * Fix tests * Fix tests * Version 1.0.0-preview.251107.2 (#2065) * Version 1.0.0-preview.251110.2 (#2067) * Update README.md to change Grafana links to Azure portal links for dashboard access (#1983) * .NET - Enable build & test on branch `feature-foundry-agents` (#2068) * Tests good, mkay * Update .github/workflows/dotnet-build-and-test.yml Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Enable feature build pipelines --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> * Python: Add concrete AGUIChatClient (#2072) * Add concrete AGUIChatClient * Update logging docstrings and conventions * PR feedback * Updates to support client-side tool calls * .NET: Move catalog samples to the HostedAgents folder (#2090) * move catalog samples to the HostedAgents folder * move the catalog samples' projects to the HostedAgents folder * Bump OpenTelemetry.Instrumentation.Runtime from 1.12.0 to 1.13.0 (#1856) --- updated-dependencies: - dependency-name: OpenTelemetry.Instrumentation.Runtime dependency-version: 1.13.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * .NET: Bump Microsoft.SemanticKernel.Agents.Abstractions from 1.66.0 to 1.67.0 (#1962) * Bump Microsoft.SemanticKernel.Agents.Abstractions from 1.66.0 to 1.67.0 --- updated-dependencies: - dependency-name: Microsoft.SemanticKernel.Agents.Abstractions dependency-version: 1.67.0 dependency-type: direct:production update-type: version-update:semver-minor ... Signed-off-by: dependabot[bot] <support@github.com> * .NET: Bump all Microsoft.SemanticKernel packages from 1.66.* to 1.67.* (#1969) * Initial plan * Update all Microsoft.SemanticKernel packages to 1.67.* Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> * Remove unrelated changes to package-lock.json and yarn.lock Co-authored-by: markwallace-microsoft <127216156+markwallace-microsoft@users.noreply.github.com> --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> Co-authored-by: markwallace-microsoft <127216156+markwallace-microsoft@users.noreply.github.com> --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: rogerbarreto <19890735+rogerbarreto@users.noreply.github.com> Co-authored-by: markwallace-microsoft <127216156+markwallace-microsoft@users.noreply.github.com> * .NET: fix: WorkflowAsAgent Sample (#1787) * fix: WorkflowAsAgent Sample * Also makes ChatForwardingExecutor public * feat: Expand ChatForwardingExecutor handled types Make ChatForwardingExecutor match the input types of ChatProtocolExecutor. * fix: Update for the new AgentRunResponseUpdate merge logic AIAgent always sends out List<ChatMessage> now. * Updated (#2076) * Bump vite in /python/samples/demos/chatkit-integration/frontend (#1918) Bumps [vite](https://github.com/vitejs/vite/tree/HEAD/packages/vite) from 7.1.9 to 7.1.12. - [Release notes](https://github.com/vitejs/vite/releases) - [Changelog](https://github.com/vitejs/vite/blob/v7.1.12/packages/vite/CHANGELOG.md) - [Commits](https://github.com/vitejs/vite/commits/v7.1.12/packages/vite) --- updated-dependencies: - dependency-name: vite dependency-version: 7.1.12 dependency-type: direct:development ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump Roslynator.Analyzers from 4.14.0 to 4.14.1 (#1857) --- updated-dependencies: - dependency-name: Roslynator.Analyzers dependency-version: 4.14.1 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> * Bump MishaKav/pytest-coverage-comment from 1.1.57 to 1.1.59 (#2034) Bumps [MishaKav/pytest-coverage-comment](https://github.com/mishakav/pytest-coverage-comment) from 1.1.57 to 1.1.59. - [Release notes](https://github.com/mishakav/pytest-coverage-comment/releases) - [Changelog](https://github.com/MishaKav/pytest-coverage-comment/blob/main/CHANGELOG.md) - [Commits](https://github.com/mishakav/pytest-coverage-comment/compare/v1.1.57...v1.1.59) --- updated-dependencies: - dependency-name: MishaKav/pytest-coverage-comment dependency-version: 1.1.59 dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Chris <66376200+crickman@users.noreply.github.com> * Python: Handle agent user input request in AgentExecutor (#2022) * Handle agent user input request in AgentExecutor * fix test * Address comments * Fix tests * Fix tests * Address comments * Address comments * Python: OpenAI Responses Image Generation Stream Support, Sample and Unit Tests (#1853) * support for image gen streaming * small fixes * fixes * added comment * Python: Fix MCP Tool Parameter Descriptions Not Propagated to LLMs (#1978) * mcp tool description fix * small fix * .NET: Allow extending agent run options via additional properties (#1872) * Allow extending agent run options via additional properties This mirrors the M.E.AI model in ChatOptions.AdditionalProperties which is very useful when building functionality pipelines. Fixes https://github.com/microsoft/agent-framework/issues/1815 * Expand XML documentation Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Add AdditionalProperties tests to AgentRunOptions Co-authored-by: kzu <169707+kzu@users.noreply.github.com> --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: kzu <169707+kzu@users.noreply.github.com> * Python: Use the last entry in the task history to avoid empty responses (#2101) * Use the last entry in the task history to avoid empty responses * History only contains Messages * Updated package versions (#2104) --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: Reuben Bond <203839+ReubenBond@users.noreply.github.com> Co-authored-by: Peter Ibekwe <109177538+peibekwe@users.noreply.github.com> Co-authored-by: Jeff Handley <jeffhandley@users.noreply.github.com> Co-authored-by: Daniel Roth <daroth@microsoft.com> Co-authored-by: Victor Dibia <chuvidi2003@gmail.com> Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Shawn Henry <sphenry@gmail.com> Co-authored-by: Javier Calvarro Nelson <jacalvar@microsoft.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> Co-authored-by: Korolev Dmitry <deagle.gross@gmail.com> Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Reuben Bond <reuben.bond@gmail.com> Co-authored-by: Tao Chen <taochen@microsoft.com> Co-authored-by: wuweng <wuweng@microsoft.com> Co-authored-by: Chris <66376200+crickman@users.noreply.github.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: Jacob Alber <jaalber@microsoft.com> Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com> Co-authored-by: Daniel Cazzulino <daniel@cazzulino.com> Co-authored-by: kzu <169707+kzu@users.noreply.github.com> * Updated azure-ai-projects package version and small fixes (#2139) * Python: [Feature Branch] Resolve CI issues (#2143) * Small documentation and code fixes * Small fix in documentation * Addressed PR feedback * Added AI Search example --------- Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Evan Mattson <35585003+moonbox3@users.noreply.github.com> Co-authored-by: Chris <66376200+crickman@users.noreply.github.com> Co-authored-by: Reuben Bond <203839+ReubenBond@users.noreply.github.com> Co-authored-by: Peter Ibekwe <109177538+peibekwe@users.noreply.github.com> Co-authored-by: Jeff Handley <jeffhandley@users.noreply.github.com> Co-authored-by: Daniel Roth <daroth@microsoft.com> Co-authored-by: Victor Dibia <chuvidi2003@gmail.com> Co-authored-by: Mark Wallace <127216156+markwallace-microsoft@users.noreply.github.com> Co-authored-by: Shawn Henry <sphenry@gmail.com> Co-authored-by: Javier Calvarro Nelson <jacalvar@microsoft.com> Co-authored-by: Eduard van Valkenburg <eavanvalkenburg@users.noreply.github.com> Co-authored-by: Korolev Dmitry <deagle.gross@gmail.com> Co-authored-by: westey <164392973+westey-m@users.noreply.github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> Co-authored-by: Reuben Bond <reuben.bond@gmail.com> Co-authored-by: Tao Chen <taochen@microsoft.com> Co-authored-by: wuweng <wuweng@microsoft.com> Co-authored-by: Roger Barreto <19890735+rogerbarreto@users.noreply.github.com> Co-authored-by: SergeyMenshykh <68852919+SergeyMenshykh@users.noreply.github.com> Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com> Co-authored-by: Jacob Alber <jaalber@microsoft.com> Co-authored-by: Giles Odigwe <79032838+giles17@users.noreply.github.com> Co-authored-by: Daniel Cazzulino <daniel@cazzulino.com> Co-authored-by: kzu <169707+kzu@users.noreply.github.com>
2026-06-16 21:04:09 +08:00 · 2025-11-12 23:20:53 +00:00
parent 4bffe1ebc8
commit edb367a2b9
42 changed files with 2538 additions and 488 deletions
@@ -3,6 +3,7 @@
 import importlib.metadata

 from ._chat_client import AzureAIAgentClient
+from ._client import AzureAIClient
 from ._shared import AzureAISettings

 try:
@@ -12,6 +13,7 @@ except importlib.metadata.PackageNotFoundError:

 __all__ = [
    "AzureAIAgentClient",
+    "AzureAIClient",
    "AzureAISettings",
    "__version__",
 ]
@@ -0,0 +1,354 @@
+# Copyright (c) Microsoft. All rights reserved.
+
+import sys
+from collections.abc import MutableSequence
+from typing import Any, ClassVar, TypeVar
+
+from agent_framework import (
+    AGENT_FRAMEWORK_USER_AGENT,
+    ChatMessage,
+    ChatOptions,
+    HostedMCPTool,
+    TextContent,
+    get_logger,
+    use_chat_middleware,
+    use_function_invocation,
+)
+from agent_framework.exceptions import ServiceInitializationError
+from agent_framework.observability import use_observability
+from agent_framework.openai._responses_client import OpenAIBaseResponsesClient
+from azure.ai.projects.aio import AIProjectClient
+from azure.ai.projects.models import (
+    MCPTool,
+    PromptAgentDefinition,
+    PromptAgentDefinitionText,
+    ResponseTextFormatConfigurationJsonSchema,
+)
+from azure.core.credentials_async import AsyncTokenCredential
+from azure.core.exceptions import ResourceNotFoundError
+from openai.types.responses.parsed_response import (
+    ParsedResponse,
+)
+from openai.types.responses.response import Response as OpenAIResponse
+from pydantic import BaseModel, ValidationError
+
+from ._shared import AzureAISettings
+
+if sys.version_info >= (3, 11):
+    from typing import Self  # pragma: no cover
+else:
+    from typing_extensions import Self  # pragma: no cover
+
+
+logger = get_logger("agent_framework.azure")
+
+
+TAzureAIClient = TypeVar("TAzureAIClient", bound="AzureAIClient")
+
+
+@use_function_invocation
+@use_observability
+@use_chat_middleware
+class AzureAIClient(OpenAIBaseResponsesClient):
+    """Azure AI Agent client."""
+
+    OTEL_PROVIDER_NAME: ClassVar[str] = "azure.ai"  # type: ignore[reportIncompatibleVariableOverride, misc]
+
+    def __init__(
+        self,
+        *,
+        project_client: AIProjectClient | None = None,
+        agent_name: str | None = None,
+        agent_version: str | None = None,
+        conversation_id: str | None = None,
+        project_endpoint: str | None = None,
+        model_deployment_name: str | None = None,
+        async_credential: AsyncTokenCredential | None = None,
+        use_latest_version: bool | None = None,
+        env_file_path: str | None = None,
+        env_file_encoding: str | None = None,
+        **kwargs: Any,
+    ) -> None:
+        """Initialize an Azure AI Agent client.
+
+        Keyword Args:
+            project_client: An existing AIProjectClient to use. If not provided, one will be created.
+            agent_name: The name to use when creating new agents.
+            agent_version: The version of the agent to use.
+            conversation_id: Default conversation ID to use for conversations. Can be overridden by
+                conversation_id property when making a request.
+            project_endpoint: The Azure AI Project endpoint URL.
+                Can also be set via environment variable AZURE_AI_PROJECT_ENDPOINT.
+                Ignored when a project_client is passed.
+            model_deployment_name: The model deployment name to use for agent creation.
+                Can also be set via environment variable AZURE_AI_MODEL_DEPLOYMENT_NAME.
+            async_credential: Azure async credential to use for authentication.
+            use_latest_version: Boolean flag that indicates whether to use latest agent version
+                if it exists in the service.
+            env_file_path: Path to environment file for loading settings.
+            env_file_encoding: Encoding of the environment file.
+            kwargs: Additional keyword arguments passed to the parent class.
+
+        Examples:
+            .. code-block:: python
+
+                from agent_framework.azure import AzureAIClient
+                from azure.identity.aio import DefaultAzureCredential
+
+                # Using environment variables
+                # Set AZURE_AI_PROJECT_ENDPOINT=https://your-project.cognitiveservices.azure.com
+                # Set AZURE_AI_MODEL_DEPLOYMENT_NAME=gpt-4
+                credential = DefaultAzureCredential()
+                client = AzureAIClient(async_credential=credential)
+
+                # Or passing parameters directly
+                client = AzureAIClient(
+                    project_endpoint="https://your-project.cognitiveservices.azure.com",
+                    model_deployment_name="gpt-4",
+                    async_credential=credential,
+                )
+
+                # Or loading from a .env file
+                client = AzureAIClient(async_credential=credential, env_file_path="path/to/.env")
+        """
+        try:
+            azure_ai_settings = AzureAISettings(
+                project_endpoint=project_endpoint,
+                model_deployment_name=model_deployment_name,
+                env_file_path=env_file_path,
+                env_file_encoding=env_file_encoding,
+            )
+        except ValidationError as ex:
+            raise ServiceInitializationError("Failed to create Azure AI settings.", ex) from ex
+
+        # If no project_client is provided, create one
+        should_close_client = False
+        if project_client is None:
+            if not azure_ai_settings.project_endpoint:
+                raise ServiceInitializationError(
+                    "Azure AI project endpoint is required. Set via 'project_endpoint' parameter "
+                    "or 'AZURE_AI_PROJECT_ENDPOINT' environment variable."
+                )
+
+            # Use provided credential
+            if not async_credential:
+                raise ServiceInitializationError("Azure credential is required when project_client is not provided.")
+            project_client = AIProjectClient(
+                endpoint=azure_ai_settings.project_endpoint,
+                credential=async_credential,
+                user_agent=AGENT_FRAMEWORK_USER_AGENT,
+            )
+            should_close_client = True
+
+        # Initialize parent
+        super().__init__(
+            **kwargs,
+        )
+
+        # Initialize instance variables
+        self.agent_name = agent_name
+        self.agent_version = agent_version
+        self.use_latest_version = use_latest_version
+        self.project_client = project_client
+        self.credential = async_credential
+        self.model_id = azure_ai_settings.model_deployment_name
+        self.conversation_id = conversation_id
+        self._should_close_client = should_close_client  # Track whether we should close client connection
+
+    async def setup_azure_ai_observability(self, enable_sensitive_data: bool | None = None) -> None:
+        """Use this method to setup tracing in your Azure AI Project.
+
+        This will take the connection string from the project project_client.
+        It will override any connection string that is set in the environment variables.
+        It will disable any OTLP endpoint that might have been set.
+        """
+        try:
+            conn_string = await self.project_client.telemetry.get_application_insights_connection_string()
+        except ResourceNotFoundError:
+            logger.warning(
+                "No Application Insights connection string found for the Azure AI Project, "
+                "please call setup_observability() manually."
+            )
+            return
+        from agent_framework.observability import setup_observability
+
+        setup_observability(
+            applicationinsights_connection_string=conn_string, enable_sensitive_data=enable_sensitive_data
+        )
+
+    async def __aenter__(self) -> "Self":
+        """Async context manager entry."""
+        return self
+
+    async def __aexit__(self, exc_type: type[BaseException] | None, exc_val: BaseException | None, exc_tb: Any) -> None:
+        """Async context manager exit."""
+        await self.close()
+
+    async def close(self) -> None:
+        """Close the project_client."""
+        await self._close_client_if_needed()
+
+    async def _get_agent_reference_or_create(
+        self, run_options: dict[str, Any], messages_instructions: str | None
+    ) -> dict[str, str]:
+        """Determine which agent to use and create if needed.
+
+        Returns:
+            str: The agent_name to use
+        """
+        agent_name = self.agent_name or "UnnamedAgent"
+
+        # If no agent_version is provided, either use latest version or create a new agent:
+        if self.agent_version is None:
+            # Try to use latest version if requested and agent exists
+            if self.use_latest_version:
+                try:
+                    existing_agent = await self.project_client.agents.get(agent_name)
+                    self.agent_name = existing_agent.name
+                    self.agent_version = existing_agent.versions.latest.version
+                    return {"name": self.agent_name, "version": self.agent_version, "type": "agent_reference"}
+                except ResourceNotFoundError:
+                    # Agent doesn't exist, fall through to creation logic
+                    pass
+
+            if "model" not in run_options or not run_options["model"]:
+                raise ServiceInitializationError(
+                    "Model deployment name is required for agent creation, "
+                    "can also be passed to the get_response methods."
+                )
+
+            args: dict[str, Any] = {"model": run_options["model"]}
+
+            if "tools" in run_options:
+                args["tools"] = run_options["tools"]
+
+            if "response_format" in run_options:
+                response_format = run_options["response_format"]
+                args["text"] = PromptAgentDefinitionText(
+                    format=ResponseTextFormatConfigurationJsonSchema(
+                        name=response_format.__name__,
+                        schema=response_format.model_json_schema(),
+                    )
+                )
+
+            # Combine instructions from messages and options
+            combined_instructions = [
+                instructions
+                for instructions in [messages_instructions, run_options.get("instructions")]
+                if instructions
+            ]
+            if combined_instructions:
+                args["instructions"] = "".join(combined_instructions)
+
+            created_agent = await self.project_client.agents.create_version(
+                agent_name=agent_name, definition=PromptAgentDefinition(**args)
+            )
+
+            self.agent_name = created_agent.name
+            self.agent_version = created_agent.version
+
+        return {"name": agent_name, "version": self.agent_version, "type": "agent_reference"}
+
+    async def _close_client_if_needed(self) -> None:
+        """Close project_client session if we created it."""
+        if self._should_close_client:
+            await self.project_client.close()
+
+    def _prepare_input(self, messages: MutableSequence[ChatMessage]) -> tuple[list[ChatMessage], str | None]:
+        """Prepare input from messages and convert system/developer messages to instructions."""
+        result: list[ChatMessage] = []
+        instructions_list: list[str] = []
+        instructions: str | None = None
+
+        # System/developer messages are turned into instructions, since there is no such message roles in Azure AI.
+        for message in messages:
+            if message.role.value in ["system", "developer"]:
+                for text_content in [content for content in message.contents if isinstance(content, TextContent)]:
+                    instructions_list.append(text_content.text)
+            else:
+                result.append(message)
+
+        if len(instructions_list) > 0:
+            instructions = "".join(instructions_list)
+
+        return result, instructions
+
+    async def prepare_options(
+        self, messages: MutableSequence[ChatMessage], chat_options: ChatOptions
+    ) -> dict[str, Any]:
+        chat_options.store = bool(chat_options.store or chat_options.store is None)
+        prepared_messages, instructions = self._prepare_input(messages)
+        run_options = await super().prepare_options(prepared_messages, chat_options)
+        agent_reference = await self._get_agent_reference_or_create(run_options, instructions)
+
+        run_options["extra_body"] = {"agent": agent_reference}
+
+        conversation_id = chat_options.conversation_id or self.conversation_id
+
+        # Handle different conversation ID formats
+        if conversation_id:
+            if conversation_id.startswith("resp_"):
+                # For response IDs, set previous_response_id and remove conversation property
+                run_options.pop("conversation", None)
+                run_options["previous_response_id"] = conversation_id
+            elif conversation_id.startswith("conv_"):
+                # For conversation IDs, set conversation and remove previous_response_id property
+                run_options.pop("previous_response_id", None)
+                run_options["conversation"] = conversation_id
+
+        # Remove properties that are not supported on request level
+        # but were configured on agent level
+        exclude = ["model", "tools", "response_format"]
+
+        for property in exclude:
+            run_options.pop(property, None)
+
+        return run_options
+
+    async def initialize_client(self) -> None:
+        """Initialize OpenAI client asynchronously."""
+        self.client = await self.project_client.get_openai_client()  # type: ignore
+
+    def _update_agent_name(self, agent_name: str | None) -> None:
+        """Update the agent name in the chat client.
+
+        Args:
+            agent_name: The new name for the agent.
+        """
+        # This is a no-op in the base class, but can be overridden by subclasses
+        # to update the agent name in the client.
+        if agent_name and not self.agent_name:
+            self.agent_name = agent_name
+
+    def get_mcp_tool(self, tool: HostedMCPTool) -> Any:
+        """Get MCP tool from HostedMCPTool."""
+        mcp = MCPTool(server_label=tool.name.replace(" ", "_"), server_url=str(tool.url))
+
+        if tool.allowed_tools:
+            mcp["allowed_tools"] = list(tool.allowed_tools)
+
+        if tool.approval_mode:
+            match tool.approval_mode:
+                case str():
+                    mcp["require_approval"] = "always" if tool.approval_mode == "always_require" else "never"
+                case _:
+                    if always_require_approvals := tool.approval_mode.get("always_require_approval"):
+                        mcp["require_approval"] = {"always": {"tool_names": list(always_require_approvals)}}
+                    if never_require_approvals := tool.approval_mode.get("never_require_approval"):
+                        mcp["require_approval"] = {"never": {"tool_names": list(never_require_approvals)}}
+
+        return mcp
+
+    def get_conversation_id(
+        self, response: OpenAIResponse | ParsedResponse[BaseModel], store: bool | None
+    ) -> str | None:
+        """Get the conversation ID from the response if store is True."""
+        if store:
+            # If conversation ID exists, it means that we operate with conversation
+            # so we use conversation ID as input and output.
+            if response.conversation and response.conversation.id:
+                return response.conversation.id
+            # If conversation ID doesn't exist, we operate with responses
+            # so we use response ID as input and output.
+            return response.id
+        return None