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Python: [BREAKING] changed AIFunction to FunctionTool and @ai_function to @tool (#3413)
* changed AIFunction to FunctionTool and @ai_function to @tool * test and mypy fixes * mypy fix * switch function tool to always_require * fix noop * fix github copilot imports * test fixes * fix ollama test * fixes for tests * fix tests * reverted change to always_require and extended timeout * fix test
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@@ -6,9 +6,9 @@ from typing import TYPE_CHECKING, Any, Generic, TypedDict, cast
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from agent_framework import (
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AGENT_FRAMEWORK_USER_AGENT,
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AIFunction,
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ChatAgent,
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ContextProvider,
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FunctionTool,
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Middleware,
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ToolProtocol,
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normalize_tools,
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@@ -445,9 +445,9 @@ class AzureAIAgentsProvider(Generic[TOptions_co]):
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# Add user-provided function tools and MCP tools
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if provided_tools:
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for provided_tool in provided_tools:
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# AIFunction - has implementation for function calling
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# FunctionTool - has implementation for function calling
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# MCPTool - ChatAgent handles MCP connection and tool discovery at runtime
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if isinstance(provided_tool, (AIFunction, MCPTool)):
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if isinstance(provided_tool, (FunctionTool, MCPTool)):
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merged.append(provided_tool) # type: ignore[reportUnknownArgumentType]
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return merged
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@@ -488,7 +488,7 @@ class AzureAIAgentsProvider(Generic[TOptions_co]):
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provided_names: set[str] = set()
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if provided_tools:
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for tool in provided_tools:
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if isinstance(tool, AIFunction):
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if isinstance(tool, FunctionTool):
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provided_names.add(tool.name)
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# Check for missing implementations
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@@ -10,7 +10,6 @@ from typing import Any, ClassVar, Generic, TypedDict
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from agent_framework import (
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AGENT_FRAMEWORK_USER_AGENT,
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AIFunction,
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Annotation,
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BaseChatClient,
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ChatAgent,
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@@ -21,6 +20,7 @@ from agent_framework import (
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ChatResponseUpdate,
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Content,
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ContextProvider,
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FunctionTool,
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HostedCodeInterpreterTool,
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HostedFileSearchTool,
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HostedMCPTool,
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@@ -1117,7 +1117,7 @@ class AzureAIAgentClient(BaseChatClient[TAzureAIAgentOptions], Generic[TAzureAIA
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tool_definitions: list[ToolDefinition | dict[str, Any]] = []
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for tool in tools:
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match tool:
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case AIFunction():
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case FunctionTool():
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tool_definitions.append(tool.to_json_schema_spec()) # type: ignore[reportUnknownArgumentType]
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case HostedWebSearchTool():
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additional_props = tool.additional_properties or {}
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@@ -6,9 +6,9 @@ from typing import Any, Generic, TypedDict
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from agent_framework import (
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AGENT_FRAMEWORK_USER_AGENT,
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AIFunction,
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ChatAgent,
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ContextProvider,
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FunctionTool,
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Middleware,
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ToolProtocol,
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get_logger,
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@@ -20,10 +20,12 @@ from azure.ai.projects.aio import AIProjectClient
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from azure.ai.projects.models import (
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AgentReference,
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AgentVersionDetails,
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FunctionTool,
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PromptAgentDefinition,
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PromptAgentDefinitionText,
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)
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from azure.ai.projects.models import (
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FunctionTool as AzureFunctionTool,
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)
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from azure.core.credentials_async import AsyncTokenCredential
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from pydantic import ValidationError
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@@ -224,7 +226,7 @@ class AzureAIProjectAgentProvider(Generic[TOptions_co]):
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# Connect MCP tools and discover their functions BEFORE creating the agent
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# This is required because Azure AI Responses API doesn't accept tools at request time
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mcp_discovered_functions: list[AIFunction[Any, Any]] = []
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mcp_discovered_functions: list[FunctionTool] = []
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for mcp_tool in mcp_tools:
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if not mcp_tool.is_connected:
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await mcp_tool.connect()
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@@ -433,9 +435,9 @@ class AzureAIProjectAgentProvider(Generic[TOptions_co]):
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# Add user-provided function tools and MCP tools
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if provided_tools:
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for provided_tool in provided_tools:
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# AIFunction - has implementation for function calling
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# FunctionTool - has implementation for function calling
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# MCPTool - ChatAgent handles MCP connection and tool discovery at runtime
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if isinstance(provided_tool, (AIFunction, MCPTool)):
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if isinstance(provided_tool, (FunctionTool, MCPTool)):
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merged.append(provided_tool) # type: ignore[reportUnknownArgumentType]
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return merged
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@@ -452,12 +454,14 @@ class AzureAIProjectAgentProvider(Generic[TOptions_co]):
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"""Validate that required function tools are provided."""
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# Normalize and validate function tools
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normalized_tools = normalize_tools(provided_tools)
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tool_names = {tool.name for tool in normalized_tools if isinstance(tool, AIFunction)}
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tool_names = {tool.name for tool in normalized_tools if isinstance(tool, FunctionTool)}
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# If function tools exist in agent definition but were not provided,
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# we need to raise an error, as it won't be possible to invoke the function.
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missing_tools = [
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tool.name for tool in (agent_tools or []) if isinstance(tool, FunctionTool) and tool.name not in tool_names
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tool.name
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for tool in (agent_tools or [])
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if isinstance(tool, AzureFunctionTool) and tool.name not in tool_names
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]
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if missing_tools:
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@@ -5,8 +5,8 @@ from collections.abc import Mapping, MutableMapping, Sequence
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from typing import Any, ClassVar, Literal, cast
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from agent_framework import (
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AIFunction,
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Content,
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FunctionTool,
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HostedCodeInterpreterTool,
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HostedFileSearchTool,
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HostedImageGenerationTool,
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@@ -29,7 +29,6 @@ from azure.ai.projects.models import (
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ApproximateLocation,
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CodeInterpreterTool,
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CodeInterpreterToolAuto,
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FunctionTool,
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ImageGenTool,
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ImageGenToolInputImageMask,
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MCPTool,
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@@ -42,6 +41,9 @@ from azure.ai.projects.models import (
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from azure.ai.projects.models import (
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FileSearchTool as ProjectsFileSearchTool,
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)
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from azure.ai.projects.models import (
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FunctionTool as AzureFunctionTool,
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)
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from pydantic import BaseModel
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logger = get_logger("agent_framework.azure")
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@@ -141,7 +143,7 @@ def to_azure_ai_agent_tools(
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tool_definitions: list[ToolDefinition | dict[str, Any]] = []
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for tool in tools:
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match tool:
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case AIFunction():
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case FunctionTool():
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tool_definitions.append(tool.to_json_schema_spec()) # type: ignore[reportUnknownArgumentType]
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case HostedWebSearchTool():
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additional_props = tool.additional_properties or {}
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@@ -439,11 +441,11 @@ def to_azure_ai_tools(
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container = CodeInterpreterToolAuto(file_ids=file_ids if file_ids else None)
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ci_tool: CodeInterpreterTool = CodeInterpreterTool(container=container)
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azure_tools.append(ci_tool)
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case AIFunction():
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case FunctionTool():
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params = tool.parameters()
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params["additionalProperties"] = False
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azure_tools.append(
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FunctionTool(
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AzureFunctionTool(
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name=tool.name,
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parameters=params,
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strict=False,
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