Python: [BREAKING] Move workflow to main package (#767)

* Move workflow to main package

* Remove workflow specific unit test config

* Remove workflow-specific version info

* Revert unintended telemetry changes

* Removed the obsolete packages/workflow/tests target

* Rename dir workflow to _workflow

* Fix test imports

python/samples/getting_started/workflow/control-flow/edge_condition.py

@@ -4,17 +4,18 @@ import asyncio
 import os
 from typing import Any
 
-from agent_framework import ChatMessage, Role  # Core chat primitives used to build requests
-from agent_framework.azure import AzureChatClient  # Thin client wrapper for Azure OpenAI chat models
-from agent_framework.workflow import (
+from agent_framework import (  # Core chat primitives used to build requests
     AgentExecutor,  # Wraps an LLM agent that can be invoked inside a workflow
     AgentExecutorRequest,  # Input message bundle for an AgentExecutor
     AgentExecutorResponse,  # Output from an AgentExecutor
+    ChatMessage,
+    Role,
     WorkflowBuilder,  # Fluent builder for wiring executors and edges
     WorkflowCompletedEvent,  # Event we emit at the end to signal completion
     WorkflowContext,  # Per-run context and event bus
     executor,  # Decorator to declare a Python function as a workflow executor
 )
+from agent_framework.azure import AzureChatClient  # Thin client wrapper for Azure OpenAI chat models
 from azure.identity import AzureCliCredential  # Uses your az CLI login for credentials
 from pydantic import BaseModel  # Structured outputs for safer parsing
 

python/samples/getting_started/workflow/control-flow/multi_selection_edge_group.py

@@ -8,18 +8,19 @@ from dataclasses import dataclass
 from typing import Literal
 from uuid import uuid4
 
-from agent_framework import ChatMessage, Role
-from agent_framework.azure import AzureChatClient
-from agent_framework.workflow import (
+from agent_framework import (
     AgentExecutor,
     AgentExecutorRequest,
     AgentExecutorResponse,
+    ChatMessage,
+    Role,
     WorkflowBuilder,
     WorkflowCompletedEvent,
     WorkflowContext,
     WorkflowEvent,
     executor,
 )
+from agent_framework.azure import AzureChatClient
 from azure.identity import AzureCliCredential
 from pydantic import BaseModel
 

python/samples/getting_started/workflow/control-flow/sequential_executors.py

@@ -3,7 +3,7 @@
 import asyncio
 from typing import Any
 
-from agent_framework.workflow import (
+from agent_framework import (
     Executor,
     WorkflowBuilder,
     WorkflowCompletedEvent,

python/samples/getting_started/workflow/control-flow/sequential_streaming.py

@@ -2,7 +2,7 @@
 
 import asyncio
 
-from agent_framework.workflow import WorkflowBuilder, WorkflowCompletedEvent, WorkflowContext, executor
+from agent_framework import WorkflowBuilder, WorkflowCompletedEvent, WorkflowContext, executor
 
 """
 Sample: Foundational sequential workflow with streaming using function-style executors.

python/samples/getting_started/workflow/control-flow/simple_loop.py

@@ -3,19 +3,20 @@
 import asyncio
 from enum import Enum
 
-from agent_framework import ChatMessage, Role
-from agent_framework.azure import AzureChatClient
-from agent_framework.workflow import (
+from agent_framework import (
     AgentExecutor,
     AgentExecutorRequest,
     AgentExecutorResponse,
+    ChatMessage,
     Executor,
     ExecutorCompletedEvent,
+    Role,
     WorkflowBuilder,
     WorkflowCompletedEvent,
     WorkflowContext,
     handler,
 )
+from agent_framework.azure import AzureChatClient
 from azure.identity import AzureCliCredential
 
 """

python/samples/getting_started/workflow/control-flow/switch_case_edge_group.py

@@ -6,19 +6,20 @@ from dataclasses import dataclass
 from typing import Any, Literal
 from uuid import uuid4
 
-from agent_framework import ChatMessage, Role  # Core chat primitives used to form LLM requests
-from agent_framework.azure import AzureChatClient  # Thin client for Azure OpenAI chat models
-from agent_framework.workflow import (
+from agent_framework import (  # Core chat primitives used to form LLM requests
     AgentExecutor,  # Wraps an agent so it can run inside a workflow
     AgentExecutorRequest,  # Message bundle sent to an AgentExecutor
     AgentExecutorResponse,  # Result returned by an AgentExecutor
     Case,  # Case entry for a switch-case edge group
+    ChatMessage,
     Default,  # Default branch when no cases match
+    Role,
     WorkflowBuilder,  # Fluent builder for assembling the graph
     WorkflowCompletedEvent,  # Terminal event for successful completion
     WorkflowContext,  # Per-run context and event bus
     executor,  # Decorator to turn a function into a workflow executor
 )
+from agent_framework.azure import AzureChatClient  # Thin client for Azure OpenAI chat models
 from azure.identity import AzureCliCredential  # Uses your az CLI login for credentials
 from pydantic import BaseModel  # Structured outputs with validation