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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>
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@@ -648,6 +648,37 @@ class TestToolFrequencyDetection:
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assert result is not None
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assert "read_file" in result["messages"][0].content
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def test_override_tool_uses_override_thresholds(self):
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"""A tool in tool_freq_overrides uses its own thresholds, not the global ones."""
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mw = LoopDetectionMiddleware(
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tool_freq_warn=5,
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tool_freq_hard_limit=10,
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tool_freq_overrides={"bash": (50, 100)},
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)
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runtime = _make_runtime()
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# 10 bash calls — would hit global hard_limit=10, but bash override is 100
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for i in range(10):
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result = mw._apply(_make_state(tool_calls=[_bash_call(f"cmd_{i}")]), runtime)
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assert result is None, f"unexpected trigger on call {i + 1}"
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def test_non_override_tool_falls_back_to_global(self):
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"""A tool NOT in tool_freq_overrides uses the global warn/hard_limit."""
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mw = LoopDetectionMiddleware(
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tool_freq_warn=3,
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tool_freq_hard_limit=6,
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tool_freq_overrides={"bash": (50, 100)},
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)
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runtime = _make_runtime()
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for i in range(2):
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mw._apply(_make_state(tool_calls=[self._read_call(f"/file_{i}.py")]), runtime)
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# 3rd read_file call hits global warn=3 (read_file has no override)
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result = mw._apply(_make_state(tool_calls=[self._read_call("/file_2.py")]), runtime)
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assert result is not None
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assert "read_file" in result["messages"][0].content
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def test_hash_detection_takes_priority(self):
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"""Hash-based hard stop fires before frequency check for identical calls."""
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mw = LoopDetectionMiddleware(
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@@ -668,3 +699,48 @@ class TestToolFrequencyDetection:
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msg = result["messages"][0]
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assert isinstance(msg, AIMessage)
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assert _HARD_STOP_MSG in msg.content
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class TestFromConfig:
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"""Tests for LoopDetectionMiddleware.from_config — the sole validated construction path."""
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@staticmethod
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def _config(**kwargs):
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from deerflow.config.loop_detection_config import LoopDetectionConfig
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return LoopDetectionConfig(**kwargs)
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def test_scalar_fields_mapped(self):
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config = self._config(
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warn_threshold=4,
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hard_limit=8,
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window_size=15,
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max_tracked_threads=50,
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tool_freq_warn=20,
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tool_freq_hard_limit=40,
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)
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mw = LoopDetectionMiddleware.from_config(config)
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assert mw.warn_threshold == 4
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assert mw.hard_limit == 8
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assert mw.window_size == 15
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assert mw.max_tracked_threads == 50
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assert mw.tool_freq_warn == 20
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assert mw.tool_freq_hard_limit == 40
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def test_overrides_converted_to_tuples(self):
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config = self._config(tool_freq_overrides={"bash": {"warn": 50, "hard_limit": 100}})
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mw = LoopDetectionMiddleware.from_config(config)
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assert mw._tool_freq_overrides == {"bash": (50, 100)}
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def test_empty_overrides(self):
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mw = LoopDetectionMiddleware.from_config(self._config())
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assert mw._tool_freq_overrides == {}
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def test_constructed_middleware_detects_loops(self):
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mw = LoopDetectionMiddleware.from_config(self._config(warn_threshold=2, hard_limit=4))
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runtime = _make_runtime()
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call = [_bash_call("ls")]
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mw._apply(_make_state(tool_calls=call), runtime)
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result = mw._apply(_make_state(tool_calls=call), runtime)
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assert result is not None
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assert "LOOP DETECTED" in result["messages"][0].content
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