Files
agent-framework/python/samples/02-agents/devui/weather_agent_azure/agent.py
T
Eduard van Valkenburg 1e350ea22f Python: [BREAKING] PR2 — Wire context provider pipeline, remove old types, update all consumers (#3850)
* PR2: Wire context provider pipeline and update all internal consumers

- Replace AgentThread with AgentSession across all packages
- Replace ContextProvider with BaseContextProvider across all packages
- Replace context_provider param with context_providers (Sequence)
- Replace thread= with session= in run() signatures
- Replace get_new_thread() with create_session()
- Add get_session(service_session_id) to agent interface
- DurableAgentThread -> DurableAgentSession
- Remove _notify_thread_of_new_messages from WorkflowAgent
- Wire before_run/after_run context provider pipeline in RawAgent
- Auto-inject InMemoryHistoryProvider when no providers configured

* fix: update all tests for context provider pipeline, fix lazy-loaders, remove old test files

* refactor: update all sample files for context provider pipeline (AgentThread→AgentSession, ContextProvider→BaseContextProvider)

* fix: update remaining ag-ui references (client docstring, getting_started sample)

* fix: make get_session service_session_id keyword-only to avoid confusion with session_id

* refactor: rename _RunContext.thread_messages to session_messages

* refactor: remove _threads.py, _memory.py, and old provider files; migrate devui to use plain message lists

* rename: remove _new_ prefix from test files

* refactor: rewrite SlidingWindowChatMessageStore as SlidingWindowHistoryProvider(InMemoryHistoryProvider)

* fix: read full history from session state directly instead of reaching into provider internals

* fix: update stale .pyi stubs, sample imports, and README references for new provider types

* fix: remove stale message_store, _notify_thread_of_new_messages, and session_id.key references in samples

* refactor: merge context_providers and sessions sample folders into sessions, remove aggregate_context_provider

* refactor: UserInfoMemory stores state in session.state instead of instance attributes

* feat: add Pydantic BaseModel support to session state serialization

Pydantic models stored in session.state are now automatically serialized
via model_dump() and restored via model_validate() during to_dict()/from_dict()
round-trips. Models are auto-registered on first serialization; use
register_state_type() for cold-start deserialization.

Also export register_state_type as a public API.

* fix mem0

* Update sample README links and descriptions for session terminology

- Replace 'thread' with 'session' in sample descriptions across all READMEs
- Update file links for renamed samples (mem0_sessions, redis_sessions, etc.)
- Fix Threads section → Sessions section in main samples/README.md
- Update tools, middleware, workflows, durabletask, azure_functions READMEs
- Update architecture diagrams in concepts/tools/README.md
- Update migration guides (autogen, semantic-kernel)

* Fix broken Redis README link to renamed sample

* Fix Mem0 OSS client search: pass scoping params as direct kwargs

AsyncMemory (OSS) expects user_id/agent_id/run_id as direct kwargs,
while AsyncMemoryClient (Platform) expects them in a filters dict.
Adds tests for both client types.

Port of fix from #3844 to new Mem0ContextProvider.

* Fix rebase issues: restore missing _conversation_state.py and checkpoint decode logic

- Add back _conversation_state.py (encode/decode_chat_messages) lost in rebase
- Fix on_checkpoint_restore to decode cache/conversation with decode_chat_messages
- Fix on_checkpoint_restore to use decode_checkpoint_value for pending requests
- Add tests/workflow/__init__.py for relative import support
- Fix test_agent_executor checkpoint selection (checkpoints[1] not superstep)

* Add STORES_BY_DEFAULT ClassVar to skip redundant InMemoryHistoryProvider injection

Chat clients that store history server-side by default (OpenAI Responses API,
Azure AI Agent) now declare STORES_BY_DEFAULT = True. The agent checks this
during auto-injection and skips InMemoryHistoryProvider unless the user
explicitly sets store=False.

* Fix broken markdown links in azure_ai and redis READMEs

* Fix getting-started samples to use session API instead of removed thread/ContextProvider API

* updates to workflow as agent

* fix group chat import

* Rename Thread→Session throughout, fix service_session_id propagation, remove stale AGUIThread

- Fix: Propagate conversation_id from ChatResponse back to session.service_session_id
  in both streaming and non-streaming paths in _agents.py
- Rename AgentThreadException → AgentSessionException
- Remove stale AGUIThread from ag_ui lazy-loader
- Rename use_service_thread → use_service_session in ag-ui package
- Rename test functions from *_thread_* to *_session_*
- Rename sample files from *_thread* to *_session*
- Update docstrings and comments: thread → session
- Update _mcp.py kwargs filter: add 'session' alongside 'thread'
- Fix ContinuationToken docstring example: thread=thread → session=session
- Fix _clients.py docstring: 'Agent threads' → 'Agent sessions'

* Fix broken markdown links after thread→session file renames

* fix azure ai test
2026-02-12 21:00:32 +00:00

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6.3 KiB
Python

# Copyright (c) Microsoft. All rights reserved.
"""Sample weather agent for Agent Framework Debug UI."""
import logging
import os
from collections.abc import AsyncIterable, Awaitable, Callable
from typing import Annotated
from agent_framework import (
Agent,
ChatContext,
ChatResponse,
ChatResponseUpdate,
Content,
FunctionInvocationContext,
Message,
MiddlewareTermination,
ResponseStream,
Role,
chat_middleware,
function_middleware,
tool,
)
from agent_framework.azure import AzureOpenAIChatClient
from agent_framework_devui import register_cleanup
logger = logging.getLogger(__name__)
def cleanup_resources():
"""Cleanup function that runs when DevUI shuts down."""
logger.info("=" * 60)
logger.info(" Cleaning up resources...")
logger.info(" (In production, this would close credentials, sessions, etc.)")
logger.info("=" * 60)
@chat_middleware
async def security_filter_middleware(
context: ChatContext,
call_next: Callable[[], Awaitable[None]],
) -> None:
"""Chat middleware that blocks requests containing sensitive information."""
blocked_terms = ["password", "secret", "api_key", "token"]
# Check only the last message (most recent user input)
last_message = context.messages[-1] if context.messages else None
if last_message and last_message.role == Role.USER and last_message.text:
message_lower = last_message.text.lower()
for term in blocked_terms:
if term in message_lower:
error_message = (
"I cannot process requests containing sensitive information. "
"Please rephrase your question without including passwords, secrets, "
"or other sensitive data."
)
if context.stream:
# Streaming mode: wrap in ResponseStream
async def blocked_stream(msg: str = error_message) -> AsyncIterable[ChatResponseUpdate]:
yield ChatResponseUpdate(
contents=[Content.from_text(text=msg)],
role=Role.ASSISTANT,
)
response = ChatResponse(
messages=[Message(role=Role.ASSISTANT, text=error_message)]
)
context.result = ResponseStream(blocked_stream(), finalizer=lambda _, r=response: r)
else:
# Non-streaming mode: return complete response
context.result = ChatResponse(
messages=[
Message(
role=Role.ASSISTANT,
text=error_message,
)
]
)
raise MiddlewareTermination(result=context.result)
await call_next()
@function_middleware
async def atlantis_location_filter_middleware(
context: FunctionInvocationContext,
call_next: Callable[[], Awaitable[None]],
) -> None:
"""Function middleware that blocks weather requests for Atlantis."""
# Check if location parameter is "atlantis"
location = getattr(context.arguments, "location", None)
if location and location.lower() == "atlantis":
context.result = (
"Blocked! Hold up right there!! Tell the user that "
"'Atlantis is a special place, we must never ask about the weather there!!'"
)
raise MiddlewareTermination(result=context.result)
await call_next()
# NOTE: approval_mode="never_require" is for sample brevity. Use "always_require" in production; see samples/02-agents/tools/function_tool_with_approval.py and samples/02-agents/tools/function_tool_with_approval_and_sessions.py.
@tool(approval_mode="never_require")
def get_weather(
location: Annotated[str, "The location to get the weather for."],
) -> str:
"""Get the weather for a given location."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
temperature = 53
return f"The weather in {location} is {conditions[0]} with a high of {temperature}°C."
@tool(approval_mode="never_require")
def get_forecast(
location: Annotated[str, "The location to get the forecast for."],
days: Annotated[int, "Number of days for forecast"] = 3,
) -> str:
"""Get weather forecast for multiple days."""
conditions = ["sunny", "cloudy", "rainy", "stormy"]
forecast: list[str] = []
for day in range(1, days + 1):
condition = conditions[0]
temp = 53
forecast.append(f"Day {day}: {condition}, {temp}°C")
return f"Weather forecast for {location}:\n" + "\n".join(forecast)
@tool(approval_mode="always_require")
def send_email(
recipient: Annotated[str, "The email address of the recipient."],
subject: Annotated[str, "The subject of the email."],
body: Annotated[str, "The body content of the email."],
) -> str:
"""Simulate sending an email."""
return f"Email sent to {recipient} with subject '{subject}'."
# Agent instance following Agent Framework conventions
agent = Agent(
name="AzureWeatherAgent",
description="A helpful agent that provides weather information and forecasts",
instructions="""
You are a weather assistant. You can provide current weather information
and forecasts for any location. Always be helpful and provide detailed
weather information when asked.
""",
client=AzureOpenAIChatClient(
api_key=os.environ.get("AZURE_OPENAI_API_KEY", ""),
),
tools=[get_weather, get_forecast, send_email],
middleware=[security_filter_middleware, atlantis_location_filter_middleware],
)
# Register cleanup hook - demonstrates resource cleanup on shutdown
register_cleanup(agent, cleanup_resources)
def main():
"""Launch the Azure weather agent in DevUI."""
import logging
from agent_framework.devui import serve
# Setup logging
logging.basicConfig(level=logging.INFO, format="%(message)s")
logger = logging.getLogger(__name__)
logger.info("Starting Azure Weather Agent")
logger.info("Available at: http://localhost:8090")
logger.info("Entity ID: agent_AzureWeatherAgent")
# Launch server with the agent
serve(entities=[agent], port=8090, auto_open=True)
if __name__ == "__main__":
main()