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

* 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>

python/samples/02-agents/context_providers/mem0/mem0_basic.py

@@ -57,12 +57,16 @@ async def main() -> None:
         # Now tell the agent the company code and the report format that you want to use
         # and it should be able to invoke the tool and return the report.
         query = "I always work with CNTS and I always want a detailed report format. Please remember and retrieve it."
+        print(f"User: {query}")
+        result = await agent.run(query)
+        print(f"Agent: {result}\n")
+
         # Mem0 processes and indexes memories asynchronously.
         # Wait for memories to be indexed before querying in a new thread.
         # In production, consider implementing retry logic or using Mem0's
         # eventual consistency handling instead of a fixed delay.
         print("Waiting for memories to be processed...")
-        await asyncio.sleep(12)  # Empirically determined delay for Mem0 indexing
+        await asyncio.sleep(15)  # Empirically determined delay for Mem0 indexing
         print("\nRequest within a new session:")
         # Create a new session for the agent.
         # The new session has no context of the previous conversation.
@@ -70,7 +74,10 @@ async def main() -> None:
         # Since we have the mem0 component in the session, the agent should be able to
         # retrieve the company report without asking for clarification, as it will
         # be able to remember the user preferences from Mem0 component.
+        query = "Please retrieve my company report"
+        print(f"User: {query}")
         result = await agent.run(query, session=session)
+        print(f"Agent: {result}")
 
 
 if __name__ == "__main__":