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881f9f2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 | """Cell A tool builder: in-process Python callables from
mcp_servers.direct_adapter, wrapped as OpenAI Agents SDK function_tools.
Cell B uses MCPServerStdio for the same underlying functions; see
aat_tools_mcp.py. Keeping the name/description set identical between
this module and the MCP stdio path is the fairness contract for
Experiment 1 (issue #25) — (Cell B latency) - (Cell A latency) is
pure MCP transport overhead only if the tool surface matches.
"""
from __future__ import annotations
from typing import Any, Callable, List
from agents import function_tool
from mcp_servers import direct_adapter
def _agent_visible_name(registry_name: str) -> str:
"""Return the tool name the model should see.
The direct adapter keeps domain-qualified names internally
(``iot.list_assets``), but MCP stdio exposes bare names
(``list_assets``). Cell A must match Cell B's model-visible names for
the transport-overhead comparison to stay fair.
"""
return registry_name.rsplit(".", 1)[-1]
def build_direct_tools() -> List[Any]:
"""Return a list of function_tool objects, one per entry in the
direct_adapter registry.
"""
wrapped: List[Any] = []
seen_names: dict[str, str] = {}
for spec in direct_adapter.get_tools():
callable_fn: Callable[..., Any] = spec.fn
tool_name = _agent_visible_name(spec.name)
if tool_name in seen_names:
raise ValueError(
"Duplicate Agent-visible AaT tool name after stripping domain "
f"prefix: {tool_name!r} from {seen_names[tool_name]!r} and "
f"{spec.name!r}"
)
seen_names[tool_name] = spec.name
wrapped.append(
function_tool(
callable_fn,
name_override=tool_name,
description_override=spec.doc or f"Direct call to {tool_name}",
strict_mode=False,
)
)
return wrapped
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