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Python: Fix broken samples and add missing READMEs (#5038)

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* Python: Fix broken samples and add missing READMEs

- simple_context_provider: move instructions kwarg into options dict
- suspend_resume_session: use OpenAIChatCompletionClient for in-memory demo
- foundry_chat_client_with_hosted_mcp: move store kwarg into options dict
- Add README.md for context_providers and conversations sample folders

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix additional sample issues in context_providers

- mem0_basic: send preferences query before sleep so Mem0 can learn them,
  print result from new session recall
- mem0_sessions: add session for multi-turn conversation in agent-scoped
  example, remove user_id from agent-scoped provider (Mem0 API stores
  memories without user_id when agent_id is provided), use single message
  for storing preferences
- redis_basics: print retrieved context messages instead of raw object
- redis_sessions: add missing load_dotenv() call
- redis_basics/redis_sessions: fix docstrings referencing wrong client type
- azure_redis_conversation: replace duplicate copyright with load_dotenv()

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

* Python: Fix broken link in declarative README

openai_responses_agent.py was renamed to openai_agent.py

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Giles Odigwe
2026-04-01 21:35:16 +00:00
committed by GitHub
co-authored by Copilot
parent 15e435b472
commit 6f6ee61834
11 changed files with 88 additions and 32 deletions
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python/samples/02-agents/providers/foundry/foundry_chat_client_with_hosted_mcp.py
+2 -2
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@@ -51,7 +51,7 @@ async def handle_approvals_with_session(query: str, agent: "SupportsAgentRun", s
"""Here we let the session deal with the previous responses, and we just rerun with the approval."""
from agent_framework import Message
result = await agent.run(query, session=session, store=True)
result = await agent.run(query, session=session, options={"store": True})
while len(result.user_input_requests) > 0:
new_input: list[Any] = []
for user_input_needed in result.user_input_requests:
@@ -66,7 +66,7 @@ async def handle_approvals_with_session(query: str, agent: "SupportsAgentRun", s
contents=[user_input_needed.to_function_approval_response(user_approval.lower() == "y")],
)
)
result = await agent.run(new_input, session=session, store=True)
result = await agent.run(new_input, session=session, options={"store": True})
return result