Tao Liu daa3ffc29b
feat(loop-detection): make loop detection configurable with per-tool frequency overrides (#2711)
* Make loop detection configurable

Expose LoopDetectionMiddleware thresholds through config.yaml while preserving existing defaults and allowing the middleware to be disabled.

Refs bytedance/deer-flow#2517

* feat(loop-detection): add per-tool tool_freq_overrides to Phase 1

Adds ToolFreqOverride model and tool_freq_overrides field to
LoopDetectionConfig, wires it through LoopDetectionMiddleware, and
documents the option in config.example.yaml.

Resolves the gap flagged in the #2586 review: without per-tool overrides,
users hit by #2510/#2511 (RNA-seq workflows exceeding the bash hard limit)
had no way to raise thresholds for one tool without loosening the global
limit for every tool.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

* docs(loop-detection): document tool_freq_overrides in LoopDetectionMiddleware docstring

Add the missing Args entry for tool_freq_overrides, explaining the
(warn, hard_limit) tuple structure and how per-tool thresholds supersede
the global tool_freq_warn / tool_freq_hard_limit for named tools.
Also run ruff format on the three files flagged by the lint check.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix(loop-detection): validate LoopDetectionMiddleware __init__ params eagerly

Raise clear ValueError at construction time instead of crashing at
unpack-time inside _track_and_check when bad values are passed:
- tool_freq_overrides: must be 2-tuples of positive ints with hard_limit >= warn
- scalar thresholds: warn_threshold, hard_limit, tool_freq_warn,
  tool_freq_hard_limit must be >= 1 and hard limits must >= their warn pairs
- window_size, max_tracked_threads must be >= 1

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* fix(test): isolate credential loader directory-path test from real ~/.claude

The test didn't monkeypatch HOME, so on any machine with real Claude Code
credentials at ~/.claude/.credentials.json the function fell through to
those credentials and the assertion failed. Adding HOME redirect ensures
the default credential path doesn't exist during the test.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* style(test): add blank lines after import pytest in TestInitValidation

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

* refactor(loop-detection): collapse dual validation to LoopDetectionConfig

Modifications
  - LoopDetectionMiddleware.__init__: stripped of all ValueError raises;
    becomes a plain field-assignment constructor.
  - LoopDetectionMiddleware.from_config: classmethod that builds the
    middleware from a Pydantic-validated LoopDetectionConfig and handles
    the ToolFreqOverride -> tuple[int, int] conversion.
  - agents/factory.py: SDK construction routed through
    LoopDetectionMiddleware.from_config(LoopDetectionConfig()) so the
    defaults path is Pydantic-validated too.
  - agents/lead_agent/agent.py: uses from_config instead of unpacking
    config fields by hand.
  - tests/test_loop_detection_middleware.py: deleted TestInitValidation
    (16 methods exercising the removed __init__ checks); added
    TestFromConfig (4 tests: scalar field mapping, override tuple
    conversion, empty overrides, behavioral smoke test).

Result: one validation layer (Pydantic), zero duplication, no __new__
hacks. Both production construction sites flow through LoopDetectionConfig.

Test results
  make test   -> 2977 passed, 18 skipped, 0 failed (137s)
  make format -> All checks passed; 411 files left unchanged

* feat(agents): make loop_detection configurable in create_deerflow_agent

Adds a `loop_detection: bool | AgentMiddleware = True` field to
RuntimeFeatures, mirroring the existing pattern used by `sandbox`,
`memory`, and `vision`. SDK users can now disable LoopDetectionMiddleware
or replace it with a custom instance built from their own
LoopDetectionConfig — e.g.
`LoopDetectionMiddleware.from_config(my_cfg)` — instead of being stuck
with the hardcoded defaults previously installed by the SDK factory.

The lead-agent path (which already reads AppConfig.loop_detection) is
unchanged, and the default `True` preserves prior always-on behavior for
all existing callers.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

---------

Co-authored-by: knight0940 <631532668@qq.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Co-authored-by: Amorend <142649913+knight0940@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-05-07 16:15:15 +08:00

64 lines
2.2 KiB
Python

"""Declarative feature flags and middleware positioning for create_deerflow_agent.
Pure data classes and decorators — no I/O, no side effects.
"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Literal
from langchain.agents.middleware import AgentMiddleware
@dataclass
class RuntimeFeatures:
"""Declarative feature flags for ``create_deerflow_agent``.
Most features accept:
- ``True``: use the built-in default middleware
- ``False``: disable
- An ``AgentMiddleware`` instance: use this custom implementation instead
``summarization`` and ``guardrail`` have no built-in default — they only
accept ``False`` (disable) or an ``AgentMiddleware`` instance (custom).
"""
sandbox: bool | AgentMiddleware = True
memory: bool | AgentMiddleware = False
summarization: Literal[False] | AgentMiddleware = False
subagent: bool | AgentMiddleware = False
vision: bool | AgentMiddleware = False
auto_title: bool | AgentMiddleware = False
guardrail: Literal[False] | AgentMiddleware = False
loop_detection: bool | AgentMiddleware = True
# ---------------------------------------------------------------------------
# Middleware positioning decorators
# ---------------------------------------------------------------------------
def Next(anchor: type[AgentMiddleware]):
"""Declare this middleware should be placed after *anchor* in the chain."""
if not (isinstance(anchor, type) and issubclass(anchor, AgentMiddleware)):
raise TypeError(f"@Next expects an AgentMiddleware subclass, got {anchor!r}")
def decorator(cls: type[AgentMiddleware]) -> type[AgentMiddleware]:
cls._next_anchor = anchor # type: ignore[attr-defined]
return cls
return decorator
def Prev(anchor: type[AgentMiddleware]):
"""Declare this middleware should be placed before *anchor* in the chain."""
if not (isinstance(anchor, type) and issubclass(anchor, AgentMiddleware)):
raise TypeError(f"@Prev expects an AgentMiddleware subclass, got {anchor!r}")
def decorator(cls: type[AgentMiddleware]) -> type[AgentMiddleware]:
cls._prev_anchor = anchor # type: ignore[attr-defined]
return cls
return decorator