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Python: Fix sample bugs: incorrect API params, wrong client types, and invalid options (#4983)

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* Fix sample bugs: incorrect API params, wrong client types, and invalid options

- typed_options.py: Fix AnthropicClient model->model_id, wrap raw strings in Message objects for get_response(), fix reasoning_effort->reasoning dict, fix budget_tokens minimum (1024), use OpenAIChatClient not FoundryChatClient, remove unused import

- client_reasoning.py: Fix deprecated model_id to model param

- client_with_hosted_mcp.py: Remove invalid store=True kwarg from Agent.run()

- code_defined_skill.py: Fix precision kwarg to use function_invocation_kwargs

- Various other samples: Fix deprecated API usage and incorrect params

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

* Address PR review comments

- client_with_hosted_mcp.py: Fix remaining store=True kwarg on line 68 to use options dict

- client_with_session.py: Change store=True to store=False to match in-memory persistence demo intent

- typed_options.py: Remove non-existent import and model key from docstring example

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

* new sample fixes

---------

Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
This commit is contained in:
Giles Odigwe
2026-03-31 16:58:51 +00:00
committed by GitHub
co-authored by Copilot
parent 3d09337446
commit 7c2dae8855
13 changed files with 34 additions and 41 deletions
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python/samples/02-agents/providers/openai/client_with_session.py
+3 -3
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@@ -75,19 +75,19 @@ async def example_with_session_persistence_in_memory() -> None:
# First conversation
query1 = "What's the weather like in Tokyo?"
print(f"User: {query1}")
result1 = await agent.run(query1, session=session, store=False)
result1 = await agent.run(query1, session=session, options={"store": False})
print(f"Agent: {result1.text}")
# Second conversation using the same session - maintains context
query2 = "How about London?"
print(f"\nUser: {query2}")
result2 = await agent.run(query2, session=session, store=False)
result2 = await agent.run(query2, session=session, options={"store": False})
print(f"Agent: {result2.text}")
# Third conversation - agent should remember both previous cities
query3 = "Which of the cities I asked about has better weather?"
print(f"\nUser: {query3}")
result3 = await agent.run(query3, session=session, store=False)
result3 = await agent.run(query3, session=session, options={"store": False})
print(f"Agent: {result3.text}")
print("Note: The agent remembers context from previous messages in the same session.\n")