Files
strix/strix/config/tool_call_limits.py
T
8bd6c8e87a fix(llm): cap the tool calls one assistant response may queue (#977)
* fix(llm): cap the tool calls one assistant response may queue

* fix(llm): cap the subscription backend's responses too

---------

Co-authored-by: Ahmed Allam <ahmed39652003@gmail.com>
2026-08-06 00:06:59 +03:00

47 lines
1.5 KiB
Python

"""Bound how many tool calls one assistant response may queue.
A degenerate generation can emit hundreds or thousands of tool calls in a
single response — typically a poll/wait loop the model writes out ahead of
time instead of issuing one call and yielding. The run loop honours all of
them, so the agent stops reacting to anything for hours. Keeping only the
first ``limit`` calls of a response bounds that blast radius; the model sees
their results on the next turn and can reconsider.
"""
from __future__ import annotations
from typing import Any
from openai.types.responses import ResponseFunctionToolCall
class TurnToolCallLimiter:
"""Decide, once per call, whether a turn's tool call is within the limit."""
def __init__(self, limit: int) -> None:
self._limit = limit
self._decisions: dict[str, bool] = {}
self._kept = 0
self.dropped = 0
@property
def enabled(self) -> bool:
return self._limit > 0
def allow(self, item: Any) -> bool:
if not self.enabled or not isinstance(item, ResponseFunctionToolCall):
return True
decided = self._decisions.get(item.call_id)
if decided is not None:
return decided
allowed = self._kept < self._limit
if allowed:
self._kept += 1
else:
self.dropped += 1
self._decisions[item.call_id] = allowed
return allowed
def filter_items(self, items: list[Any]) -> list[Any]:
return [item for item in items if self.allow(item)]