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Python: Clean up imports (#2318)

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* chore: tidy imports

* Update python/packages/azurefunctions/agent_framework_azurefunctions/_errors.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* Update python/packages/azurefunctions/agent_framework_azurefunctions/_callbacks.py

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

* chore: revert stub file change

* chore: trigger pre-commit hook, re-add `annotations` import

---------

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
This commit is contained in:
Brandon McConnell
2025-11-19 18:41:01 -05:00
committed by GitHub
Unverified
parent b3e96b80ae
commit 79bb87061b
45 changed files with 191 additions and 228 deletions
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python/samples/semantic-kernel-migration/azure_ai_agent/01_basic_azure_ai_agent.py
+19 -21
View File
@@ -13,32 +13,30 @@ async def run_semantic_kernel() -> None:
from azure.identity.aio import AzureCliCredential
from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
async with AzureCliCredential() as credential:
async with AzureAIAgent.create_client(credential=credential) as client:
settings = AzureAIAgentSettings() # Reads env vars for region/deployment.
# SK builds the remote agent definition then wraps it with AzureAIAgent.
definition = await client.agents.create_agent(
model=settings.model_deployment_name,
name="Support",
instructions="Answer customer questions in one paragraph.",
)
agent = AzureAIAgent(client=client, definition=definition)
response = await agent.get_response("How do I upgrade my plan?")
print("[SK]", response.message.content)
async with AzureCliCredential() as credential, AzureAIAgent.create_client(credential=credential) as client:
settings = AzureAIAgentSettings() # Reads env vars for region/deployment.
# SK builds the remote agent definition then wraps it with AzureAIAgent.
definition = await client.agents.create_agent(
model=settings.model_deployment_name,
name="Support",
instructions="Answer customer questions in one paragraph.",
)
agent = AzureAIAgent(client=client, definition=definition)
response = await agent.get_response("How do I upgrade my plan?")
print("[SK]", response.message.content)
async def run_agent_framework() -> None:
from azure.identity.aio import AzureCliCredential
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
async with AzureCliCredential() as credential:
async with AzureAIAgentClient(async_credential=credential).create_agent(
name="Support",
instructions="Answer customer questions in one paragraph.",
) as agent:
# AF client returns an asynchronous context manager for remote agents.
reply = await agent.run("How do I upgrade my plan?")
print("[AF]", reply.text)
async with AzureCliCredential() as credential, AzureAIAgentClient(async_credential=credential).create_agent(
name="Support",
instructions="Answer customer questions in one paragraph.",
) as agent:
# AF client returns an asynchronous context manager for remote agents.
reply = await agent.run("How do I upgrade my plan?")
print("[AF]", reply.text)
async def main() -> None:
python/samples/semantic-kernel-migration/azure_ai_agent/02_azure_ai_agent_with_code_interpreter.py
+26 -28
View File
@@ -13,39 +13,37 @@ async def run_semantic_kernel() -> None:
from azure.identity.aio import AzureCliCredential
from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings
async with AzureCliCredential() as credential:
async with AzureAIAgent.create_client(credential=credential) as client:
settings = AzureAIAgentSettings()
# Register the hosted code interpreter tool with the remote agent.
definition = await client.agents.create_agent(
model=settings.model_deployment_name,
name="Analyst",
instructions="Use the code interpreter for numeric work.",
tools=[{"type": "code_interpreter"}],
)
agent = AzureAIAgent(client=client, definition=definition)
response = await agent.get_response(
"Use Python to compute 42 ** 2 and explain the result.",
)
print("[SK]", response.message.content)
async with AzureCliCredential() as credential, AzureAIAgent.create_client(credential=credential) as client:
settings = AzureAIAgentSettings()
# Register the hosted code interpreter tool with the remote agent.
definition = await client.agents.create_agent(
model=settings.model_deployment_name,
name="Analyst",
instructions="Use the code interpreter for numeric work.",
tools=[{"type": "code_interpreter"}],
)
agent = AzureAIAgent(client=client, definition=definition)
response = await agent.get_response(
"Use Python to compute 42 ** 2 and explain the result.",
)
print("[SK]", response.message.content)
async def run_agent_framework() -> None:
from azure.identity.aio import AzureCliCredential
from agent_framework.azure import AzureAIAgentClient, HostedCodeInterpreterTool
from azure.identity.aio import AzureCliCredential
async with AzureCliCredential() as credential:
async with AzureAIAgentClient(async_credential=credential).create_agent(
name="Analyst",
instructions="Use the code interpreter for numeric work.",
tools=[HostedCodeInterpreterTool()],
) as agent:
# HostedCodeInterpreterTool mirrors the built-in Azure AI capability.
reply = await agent.run(
"Use Python to compute 42 ** 2 and explain the result.",
tool_choice="auto",
)
print("[AF]", reply.text)
async with AzureCliCredential() as credential, AzureAIAgentClient(async_credential=credential).create_agent(
name="Analyst",
instructions="Use the code interpreter for numeric work.",
tools=[HostedCodeInterpreterTool()],
) as agent:
# HostedCodeInterpreterTool mirrors the built-in Azure AI capability.
reply = await agent.run(
"Use Python to compute 42 ** 2 and explain the result.",
tool_choice="auto",
)
print("[AF]", reply.text)
async def main() -> None:
python/samples/semantic-kernel-migration/azure_ai_agent/03_azure_ai_agent_threads_and_followups.py
+36 -38
View File
@@ -8,53 +8,51 @@ async def run_semantic_kernel() -> None:
from azure.identity.aio import AzureCliCredential
from semantic_kernel.agents import AzureAIAgent, AzureAIAgentSettings, AzureAIAgentThread
async with AzureCliCredential() as credential:
async with AzureAIAgent.create_client(credential=credential) as client:
settings = AzureAIAgentSettings()
definition = await client.agents.create_agent(
model=settings.model_deployment_name,
name="Planner",
instructions="Track follow-up questions within the same thread.",
)
agent = AzureAIAgent(client=client, definition=definition)
async with AzureCliCredential() as credential, AzureAIAgent.create_client(credential=credential) as client:
settings = AzureAIAgentSettings()
definition = await client.agents.create_agent(
model=settings.model_deployment_name,
name="Planner",
instructions="Track follow-up questions within the same thread.",
)
agent = AzureAIAgent(client=client, definition=definition)
thread: AzureAIAgentThread | None = None
# SK returns the updated AzureAIAgentThread on each response.
first = await agent.get_response("Outline the onboarding checklist.", thread=thread)
thread = first.thread
print("[SK][turn1]", first.message.content)
thread: AzureAIAgentThread | None = None
# SK returns the updated AzureAIAgentThread on each response.
first = await agent.get_response("Outline the onboarding checklist.", thread=thread)
thread = first.thread
print("[SK][turn1]", first.message.content)
second = await agent.get_response(
"Highlight the items that require legal review.",
thread=thread,
)
print("[SK][turn2]", second.message.content)
if thread is not None:
print("[SK][thread-id]", thread.id)
second = await agent.get_response(
"Highlight the items that require legal review.",
thread=thread,
)
print("[SK][turn2]", second.message.content)
if thread is not None:
print("[SK][thread-id]", thread.id)
async def run_agent_framework() -> None:
from azure.identity.aio import AzureCliCredential
from agent_framework.azure import AzureAIAgentClient
from azure.identity.aio import AzureCliCredential
async with AzureCliCredential() as credential:
async with AzureAIAgentClient(async_credential=credential).create_agent(
name="Planner",
instructions="Track follow-up questions within the same thread.",
) as agent:
thread = agent.get_new_thread()
# AF threads are explicit and can be serialized for external storage.
first = await agent.run("Outline the onboarding checklist.", thread=thread)
print("[AF][turn1]", first.text)
async with AzureCliCredential() as credential, AzureAIAgentClient(async_credential=credential).create_agent(
name="Planner",
instructions="Track follow-up questions within the same thread.",
) as agent:
thread = agent.get_new_thread()
# AF threads are explicit and can be serialized for external storage.
first = await agent.run("Outline the onboarding checklist.", thread=thread)
print("[AF][turn1]", first.text)
second = await agent.run(
"Highlight the items that require legal review.",
thread=thread,
)
print("[AF][turn2]", second.text)
second = await agent.run(
"Highlight the items that require legal review.",
thread=thread,
)
print("[AF][turn2]", second.text)
serialized = await thread.serialize()
print("[AF][thread-json]", serialized)
serialized = await thread.serialize()
print("[AF][thread-json]", serialized)
async def main() -> None: