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Python: Samples Integration Tests (#615)

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* Samples Tests

* small fixes

* job fix

* telemetry dependency fix

* job error fix

* sorting provider specific tests

* telemetry fixes

* openai file search fix

---------

Co-authored-by: Giles Odigwe <gilesodigwe@microsoft.com>
This commit is contained in:
Giles Odigwe
2025-09-08 16:45:51 -07:00
committed by GitHub
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parent 240edb00cd
commit ee56314a26
13 changed files with 842 additions and 27 deletions
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python/samples/getting_started/threads/suspend_resume_thread.py
+19 -27
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@@ -2,46 +2,38 @@
import asyncio
from agent_framework.foundry import FoundryChatClient
from agent_framework.openai import OpenAIChatClient
from azure.identity.aio import AzureCliCredential
async def suspend_resume_service_managed_thread() -> None:
"""Demonstrates how to suspend and resume a service-managed thread."""
print("=== Suspend-Resume Service-Managed Thread ===")
# Foundry Chat Client is used as an example here,
# OpenAI Chat Client is used as an example here,
# other chat clients can be used as well.
# For authentication, run `az login` command in terminal or replace AzureCliCredential with preferred
# authentication option.
async with (
AzureCliCredential() as credential,
FoundryChatClient(async_credential=credential).create_agent(
name="Joker", instructions="You are good at telling jokes."
) as agent,
):
# Start a new thread for the agent conversation.
thread = agent.get_new_thread()
agent = OpenAIChatClient().create_agent(name="Joker", instructions="You are good at telling jokes.")
# Respond to user input.
query = "Tell me a joke about a pirate."
print(f"User: {query}")
print(f"Agent: {await agent.run(query, thread=thread)}\n")
# Start a new thread for the agent conversation.
thread = agent.get_new_thread()
# Serialize the thread state, so it can be stored for later use.
serialized_thread = await thread.serialize()
# Respond to user input.
query = "Tell me a joke about a pirate."
print(f"User: {query}")
print(f"Agent: {await agent.run(query, thread=thread)}\n")
# The thread can now be saved to a database, file, or any other storage mechanism and loaded again later.
print(f"Serialized thread: {serialized_thread}\n")
# Serialize the thread state, so it can be stored for later use.
serialized_thread = await thread.serialize()
# Deserialize the thread state after loading from storage.
resumed_thread = await agent.deserialize_thread(serialized_thread)
# The thread can now be saved to a database, file, or any other storage mechanism and loaded again later.
print(f"Serialized thread: {serialized_thread}\n")
# Respond to user input.
query = "Now tell the same joke in the voice of a pirate, and add some emojis to the joke."
print(f"User: {query}")
print(f"Agent: {await agent.run(query, thread=resumed_thread)}\n")
# Deserialize the thread state after loading from storage.
resumed_thread = await agent.deserialize_thread(serialized_thread)
# Respond to user input.
query = "Now tell the same joke in the voice of a pirate, and add some emojis to the joke."
print(f"User: {query}")
print(f"Agent: {await agent.run(query, thread=resumed_thread)}\n")
async def suspend_resume_in_memory_thread() -> None: