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modelcontextprotocol--pytho…/examples/stories/sampling/client.py
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chore: import upstream snapshot with attribution
2026-07-13 12:10:27 +08:00

31 lines
1.1 KiB
Python

"""Supply a canned sampling_callback and assert its text round-trips through the tool."""
from mcp_types import CreateMessageRequestParams, CreateMessageResult, TextContent
from mcp.client import Client, ClientRequestContext
from stories._harness import Target, run_client
async def on_sample(context: ClientRequestContext, params: CreateMessageRequestParams) -> CreateMessageResult:
# A real host would call its LLM provider here; the example returns a deterministic
# canned answer so the round-trip is assertable.
return CreateMessageResult(
role="assistant",
content=TextContent(text="[canned summary]"),
model="stub-model",
stop_reason="endTurn",
)
async def main(target: Target, *, mode: str = "auto") -> None:
async with Client(target, mode=mode, sampling_callback=on_sample) as client:
result = await client.call_tool("summarize", {"text": "hello world"})
assert not result.is_error, result
assert isinstance(result.content[0], TextContent)
assert result.content[0].text == "[canned summary]", result.content[0].text
if __name__ == "__main__":
run_client(main)