deer-flow/backend/packages/harness/deerflow/config/loop_detection_config.py
PeaceMaker-best 36ce7590b7
fix(agents): isolate loop detection state by run (#5344)
* fix(agents): scope loop detection state per run

* fix(agents): harden loop scope fallback

* docs: move loop lifecycle detail out of inherited guidance

---------

Co-authored-by: PeaceMaker-best <221849497+PeaceMaker-best@users.noreply.github.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-09-11 13:45:52 +08:00

74 lines
2.6 KiB
Python

"""Configuration for loop detection middleware."""
from pydantic import BaseModel, Field, model_validator
class ToolFreqOverride(BaseModel):
"""Per-tool frequency threshold override.
Can be higher or lower than the global defaults. Commonly used to raise
thresholds for high-frequency tools like bash in batch workflows (e.g.
RNA-seq pipelines) without weakening protection on every other tool.
"""
warn: int = Field(ge=1)
hard_limit: int = Field(ge=1)
@model_validator(mode="after")
def _validate(self) -> "ToolFreqOverride":
if self.hard_limit < self.warn:
raise ValueError("hard_limit must be >= warn")
return self
class LoopDetectionConfig(BaseModel):
"""Configuration for repetitive tool-call loop detection."""
enabled: bool = Field(
default=True,
description="Whether to enable repetitive tool-call loop detection",
)
warn_threshold: int = Field(
default=3,
ge=1,
description="Number of identical tool-call sets before injecting a warning",
)
hard_limit: int = Field(
default=5,
ge=1,
description="Number of identical tool-call sets before forcing a stop",
)
window_size: int = Field(
default=20,
ge=1,
description="Number of recent tool-call sets to track per thread",
)
max_tracked_threads: int = Field(
default=100,
ge=1,
description="Maximum number of thread/run histories to keep in memory (legacy field name)",
)
tool_freq_warn: int = Field(
default=30,
ge=1,
description="Number of calls to the same tool type before injecting a frequency warning",
)
tool_freq_hard_limit: int = Field(
default=50,
ge=1,
description="Number of calls to the same tool type before forcing a stop",
)
tool_freq_overrides: dict[str, ToolFreqOverride] = Field(
default_factory=dict,
description=("Per-tool overrides for tool_freq_warn / tool_freq_hard_limit, keyed by tool name. Values can be higher or lower than the global defaults. Commonly used to raise thresholds for high-frequency tools like bash."),
)
@model_validator(mode="after")
def validate_thresholds(self) -> "LoopDetectionConfig":
"""Ensure hard stop cannot happen before the warning threshold."""
if self.hard_limit < self.warn_threshold:
raise ValueError("hard_limit must be greater than or equal to warn_threshold")
if self.tool_freq_hard_limit < self.tool_freq_warn:
raise ValueError("tool_freq_hard_limit must be greater than or equal to tool_freq_warn")
return self