chore: verify benchmark path bug false positive

lib/crewai/pyproject.toml

@@ -21,7 +21,7 @@ dependencies = [
     "opentelemetry-exporter-otlp-proto-http~=1.34.0",
     # Data Handling
     "chromadb~=1.1.0",
-    "tokenizers>=0.21,<1",
+    "tokenizers~=0.20.3",
     "openpyxl~=3.1.5",
     # Authentication and Security
     "python-dotenv~=1.1.1",
@@ -88,7 +88,7 @@ bedrock = [
     "boto3~=1.40.45",
 ]
 google-genai = [
-    "google-genai~=1.65.0",
+    "google-genai~=1.49.0",
 ]
 azure-ai-inference = [
     "azure-ai-inference~=1.0.0b9",

lib/crewai/src/crewai/__init__.py

@@ -4,7 +4,6 @@ import urllib.request
 import warnings
 
 from crewai.agent.core import Agent
-from crewai.agents.loop_detector import LoopDetector
 from crewai.crew import Crew
 from crewai.crews.crew_output import CrewOutput
 from crewai.flow.flow import Flow
@@ -100,7 +99,6 @@ __all__ = [
     "Flow",
     "Knowledge",
     "LLMGuardrail",
-    "LoopDetector",
     "Memory",
     "Process",
     "Task",

lib/crewai/src/crewai/agents/agent_builder/base_agent.py

@@ -22,7 +22,6 @@ from typing_extensions import Self
 from crewai.agent.internal.meta import AgentMeta
 from crewai.agents.agent_builder.utilities.base_token_process import TokenProcess
 from crewai.agents.cache.cache_handler import CacheHandler
-from crewai.agents.loop_detector import LoopDetector
 from crewai.agents.tools_handler import ToolsHandler
 from crewai.knowledge.knowledge import Knowledge
 from crewai.knowledge.knowledge_config import KnowledgeConfig
@@ -214,15 +213,6 @@ class BaseAgent(BaseModel, ABC, metaclass=AgentMeta):
             "If not set, falls back to crew memory."
         ),
     )
-    loop_detector: LoopDetector | None = Field(
-        default=None,
-        description=(
-            "Optional loop detection middleware. When set, monitors agent tool calls "
-            "for repetitive patterns and intervenes to break loops. "
-            "Pass a LoopDetector instance to configure window_size, "
-            "repetition_threshold, and on_loop behavior."
-        ),
-    )
 
     @model_validator(mode="before")
     @classmethod

lib/crewai/src/crewai/agents/crew_agent_executor.py

@@ -17,7 +17,6 @@ from pydantic import BaseModel, GetCoreSchemaHandler, ValidationError
 from pydantic_core import CoreSchema, core_schema
 
 from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
-from crewai.agents.loop_detector import LoopDetector
 from crewai.agents.parser import (
     AgentAction,
     AgentFinish,
@@ -157,11 +156,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         self.messages: list[LLMMessage] = []
         self.iterations = 0
         self.log_error_after = 3
-        self.loop_detector: LoopDetector | None = (
-            agent.loop_detector if agent and hasattr(agent, "loop_detector") else None
-        )
-        if self.loop_detector:
-            self.loop_detector.reset()
         self.before_llm_call_hooks: list[Callable[..., Any]] = []
         self.after_llm_call_hooks: list[Callable[..., Any]] = []
         self.before_llm_call_hooks.extend(get_before_llm_call_hooks())
@@ -416,11 +410,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                             )
                         }
 
-                    # Capture tool info before _handle_agent_action may
-                    # convert the answer to AgentFinish (result_as_answer).
-                    _tool_name = formatted_answer.tool
-                    _tool_input = formatted_answer.tool_input
-
                     tool_result = execute_tool_and_check_finality(
                         agent_action=formatted_answer,
                         fingerprint_context=fingerprint_context,
@@ -438,14 +427,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         formatted_answer, tool_result
                     )
 
-                    # Check for repetitive loop patterns
-                    loop_result = self._record_and_check_loop(
-                        _tool_name, _tool_input
-                    )
-                    if loop_result is not None:
-                        formatted_answer = loop_result
-                        break
-
                 self._invoke_step_callback(formatted_answer)  # type: ignore[arg-type]
                 self._append_message(formatted_answer.text)  # type: ignore[union-attr]
 
@@ -802,14 +783,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                     if tool_finish:
                         return tool_finish
 
-                    # Check for loop after each parallel tool result
-                    loop_result = self._record_and_check_loop(
-                        execution_result["func_name"],
-                        execution_result.get("tool_args", ""),
-                    )
-                    if loop_result is not None:
-                        return loop_result
-
                 reasoning_prompt = self._i18n.slice("post_tool_reasoning")
                 reasoning_message: LLMMessage = {
                     "role": "user",
@@ -834,11 +807,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         if tool_finish:
             return tool_finish
 
-        # Check for loop after sequential tool execution
-        loop_result = self._record_and_check_loop(func_name, func_args)
-        if loop_result is not None:
-            return loop_result
-
         reasoning_prompt = self._i18n.slice("post_tool_reasoning")
         reasoning_message = {
             "role": "user",
@@ -1100,7 +1068,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
             "result": result,
             "from_cache": from_cache,
             "original_tool": original_tool,
-            "tool_args": func_args,
         }
 
     def _append_tool_result_and_check_finality(
@@ -1279,11 +1246,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                             )
                         }
 
-                    # Capture tool info before _handle_agent_action may
-                    # convert the answer to AgentFinish (result_as_answer).
-                    _tool_name = formatted_answer.tool
-                    _tool_input = formatted_answer.tool_input
-
                     tool_result = await aexecute_tool_and_check_finality(
                         agent_action=formatted_answer,
                         fingerprint_context=fingerprint_context,
@@ -1301,14 +1263,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                         formatted_answer, tool_result
                     )
 
-                    # Check for repetitive loop patterns
-                    loop_result = self._record_and_check_loop(
-                        _tool_name, _tool_input
-                    )
-                    if loop_result is not None:
-                        formatted_answer = loop_result
-                        break
-
                 await self._ainvoke_step_callback(formatted_answer)  # type: ignore[arg-type]
                 self._append_message(formatted_answer.text)  # type: ignore[union-attr]
 
@@ -1508,94 +1462,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         self._show_logs(formatted_answer)
         return formatted_answer
 
-    def _record_and_check_loop(
-        self, tool_name: str, tool_args: str | dict[str, Any]
-    ) -> AgentFinish | None:
-        """Record a tool call and check for repetitive loop patterns.
-
-        If a loop is detected, takes the configured action:
-        - ``inject_reflection``: injects a reflection prompt into messages.
-        - ``stop``: forces the agent to produce a final answer.
-        - callable: calls the user's callback and injects the returned message.
-
-        Args:
-            tool_name: Name of the tool that was called.
-            tool_args: Arguments passed to the tool.
-
-        Returns:
-            ``AgentFinish`` if the loop action is ``stop``,
-            ``None`` otherwise (including when reflection is injected).
-        """
-        if not self.loop_detector:
-            return None
-
-        self.loop_detector.record_tool_call(tool_name, tool_args)
-
-        if not self.loop_detector.is_loop_detected():
-            return None
-
-        repeated_tool = self.loop_detector.get_repeated_tool_info() or tool_name
-        action_taken = (
-            self.loop_detector.on_loop
-            if isinstance(self.loop_detector.on_loop, str)
-            else "callback"
-        )
-
-        # Emit loop detected event
-        from crewai.events.types.loop_events import LoopDetectedEvent
-
-        crewai_event_bus.emit(
-            self.agent,
-            LoopDetectedEvent(
-                agent_role=self.agent.role if self.agent else "unknown",
-                agent_id=str(self.agent.id) if self.agent else None,
-                task_id=str(self.task.id) if self.task else None,
-                repeated_tool=repeated_tool,
-                action_taken=action_taken,
-                iteration=self.iterations,
-                agent=self.agent,
-            ),
-        )
-
-        if self.agent and self.agent.verbose:
-            self._printer.print(
-                content=f"Loop detected: {repeated_tool} called repeatedly. Action: {action_taken}",
-                color="bold_yellow",
-            )
-
-        if self.loop_detector.on_loop == "stop":
-            return handle_max_iterations_exceeded(
-                None,
-                printer=self._printer,
-                i18n=self._i18n,
-                messages=self.messages,
-                llm=self.llm,
-                callbacks=self.callbacks,
-                verbose=self.agent.verbose if self.agent else False,
-            )
-
-        # inject_reflection or callable
-        if callable(self.loop_detector.on_loop) and not isinstance(
-            self.loop_detector.on_loop, str
-        ):
-            message_text = self.loop_detector.get_loop_message()
-        else:
-            # Use i18n reflection prompt
-            count = self.loop_detector.repetition_threshold
-            message_text = self._i18n.slice("loop_detected").format(
-                repeated_tool=repeated_tool, count=count
-            )
-
-        loop_message: LLMMessage = {
-            "role": "user",
-            "content": message_text,
-        }
-        self.messages.append(loop_message)
-
-        # Reset detector after intervention to give the agent a fresh window
-        self.loop_detector.reset()
-        return None
-
     def _handle_agent_action(
         self, formatted_answer: AgentAction, tool_result: ToolResult
     ) -> AgentAction | AgentFinish:

lib/crewai/src/crewai/agents/loop_detector.py

@@ -1,210 +0,0 @@
-"""Loop detection for agent execution.
-
-Detects repetitive behavioral patterns in agent tool calls and provides
-configurable intervention strategies to break out of loops.
-
-Example usage:
-
-    from crewai import Agent
-    from crewai.agents.loop_detector import LoopDetector
-
-    # Using default settings (window_size=5, repetition_threshold=3, inject_reflection)
-    agent = Agent(
-        role="Researcher",
-        goal="Find novel insights",
-        backstory="An experienced researcher",
-        loop_detector=LoopDetector(),
-    )
-
-    # Custom configuration
-    agent = Agent(
-        role="Researcher",
-        goal="Find novel insights",
-        backstory="An experienced researcher",
-        loop_detector=LoopDetector(
-            window_size=10,
-            repetition_threshold=4,
-            on_loop="stop",
-        ),
-    )
-
-    # With a custom callback
-    def my_callback(detector: LoopDetector) -> str:
-        return "You are repeating yourself. Try a completely different approach."
-
-    agent = Agent(
-        role="Researcher",
-        goal="Find novel insights",
-        backstory="An experienced researcher",
-        loop_detector=LoopDetector(
-            on_loop=my_callback,
-        ),
-    )
-"""
-
-from __future__ import annotations
-
-from collections import deque
-from collections.abc import Callable
-import json
-import logging
-from typing import Any, Literal
-
-from pydantic import BaseModel, Field
-
-
-logger = logging.getLogger(__name__)
-
-
-class ToolCallRecord(BaseModel):
-    """Record of a single tool call for loop detection."""
-
-    tool_name: str
-    tool_args: str  # Normalized JSON string of arguments
-
-    def __eq__(self, other: object) -> bool:
-        if not isinstance(other, ToolCallRecord):
-            return NotImplemented
-        return self.tool_name == other.tool_name and self.tool_args == other.tool_args
-
-    def __hash__(self) -> int:
-        return hash((self.tool_name, self.tool_args))
-
-
-class LoopDetector(BaseModel):
-    """Detects repetitive behavioral patterns in agent tool calls.
-
-    Monitors a sliding window of recent tool calls and flags when
-    the same tool is called repeatedly with the same arguments,
-    indicating the agent is stuck in a loop.
-
-    Args:
-        window_size: Number of recent tool calls to track in the
-            sliding window. Defaults to 5.
-        repetition_threshold: How many identical tool calls within
-            the window trigger loop detection. Defaults to 3.
-        on_loop: Action to take when a loop is detected.
-            - ``"inject_reflection"`` (default): Inject a meta-prompt
-              asking the agent to try a different approach.
-            - ``"stop"``: Force the agent to produce a final answer.
-            - A callable ``(LoopDetector) -> str``: Custom callback
-              that returns a message to inject into the conversation.
-
-    Example::
-
-        from crewai import Agent
-        from crewai.agents.loop_detector import LoopDetector
-
-        agent = Agent(
-            role="Researcher",
-            goal="Find novel insights about AI",
-            backstory="Senior researcher",
-            loop_detector=LoopDetector(
-                window_size=5,
-                repetition_threshold=3,
-                on_loop="inject_reflection",
-            ),
-        )
-    """
-
-    window_size: int = Field(
-        default=5,
-        ge=2,
-        description="Number of recent tool calls to track in the sliding window.",
-    )
-    repetition_threshold: int = Field(
-        default=3,
-        ge=2,
-        description="How many identical tool calls within the window trigger loop detection.",
-    )
-    on_loop: Literal["inject_reflection", "stop"] | Callable[..., str] = Field(
-        default="inject_reflection",
-        description=(
-            "Action when loop is detected: 'inject_reflection' to inject a reflection prompt, "
-            "'stop' to force final answer, or a callable(LoopDetector) -> str for custom handling."
-        ),
-    )
-    _history: deque[ToolCallRecord] = deque()
-
-    def model_post_init(self, __context: Any) -> None:
-        """Initialize the internal deque with the configured window size."""
-        object.__setattr__(self, "_history", deque(maxlen=self.window_size))
-
-    @staticmethod
-    def _normalize_args(args: str | dict[str, Any]) -> str:
-        """Normalize tool arguments to a canonical JSON string for comparison.
-
-        Args:
-            args: Tool arguments as a string or dict.
-
-        Returns:
-            A normalized JSON string with sorted keys.
-        """
-        if isinstance(args, str):
-            try:
-                parsed = json.loads(args)
-            except (json.JSONDecodeError, TypeError):
-                return args.strip()
-            return json.dumps(parsed, sort_keys=True, default=str)
-        return json.dumps(args, sort_keys=True, default=str)
-
-    def record_tool_call(self, tool_name: str, tool_args: str | dict[str, Any]) -> None:
-        """Record a tool call in the sliding window.
-
-        Args:
-            tool_name: Name of the tool that was called.
-            tool_args: Arguments passed to the tool.
-        """
-        record = ToolCallRecord(
-            tool_name=tool_name,
-            tool_args=self._normalize_args(tool_args),
-        )
-        self._history.append(record)
-
-    def is_loop_detected(self) -> bool:
-        """Check if a repetitive loop pattern is detected.
-
-        Returns:
-            True if any single tool call (same name + same args)
-            appears at least ``repetition_threshold`` times within
-            the current window.
-        """
-        if len(self._history) < self.repetition_threshold:
-            return False
-
-        counts: dict[ToolCallRecord, int] = {}
-        for record in self._history:
-            counts[record] = counts.get(record, 0) + 1
-            if counts[record] >= self.repetition_threshold:
-                return True
-        return False
-
-    def get_loop_message(self) -> str:
-        """Get the intervention message based on the configured ``on_loop`` action.
-
-        Returns:
-            A string message to inject into the agent conversation.
-        """
-        if callable(self.on_loop) and not isinstance(self.on_loop, str):
-            return self.on_loop(self)
-        return ""
-
-    def get_repeated_tool_info(self) -> str | None:
-        """Get information about the repeated tool call, if any.
-
-        Returns:
-            A string describing the repeated tool and args, or None.
-        """
-        if len(self._history) < self.repetition_threshold:
-            return None
-
-        counts: dict[ToolCallRecord, int] = {}
-        for record in self._history:
-            counts[record] = counts.get(record, 0) + 1
-            if counts[record] >= self.repetition_threshold:
-                return f"{record.tool_name}({record.tool_args})"
-        return None
-
-    def reset(self) -> None:
-        """Clear the tool call history."""
-        self._history.clear()

lib/crewai/src/crewai/cli/plus_api.py

@@ -22,15 +22,14 @@ class PlusAPI:
     EPHEMERAL_TRACING_RESOURCE = "/crewai_plus/api/v1/tracing/ephemeral"
     INTEGRATIONS_RESOURCE = "/crewai_plus/api/v1/integrations"
 
-    def __init__(self, api_key: str | None = None) -> None:
+    def __init__(self, api_key: str) -> None:
         self.api_key = api_key
         self.headers = {
+            "Authorization": f"Bearer {api_key}",
             "Content-Type": "application/json",
             "User-Agent": f"CrewAI-CLI/{get_crewai_version()}",
             "X-Crewai-Version": get_crewai_version(),
         }
-        if api_key:
-            self.headers["Authorization"] = f"Bearer {api_key}"
         settings = Settings()
         if settings.org_uuid:
             self.headers["X-Crewai-Organization-Id"] = settings.org_uuid

lib/crewai/src/crewai/events/listeners/tracing/trace_batch_manager.py

@@ -67,7 +67,7 @@ class TraceBatchManager:
                 api_key=get_auth_token(),
             )
         except AuthError:
-            self.plus_api = PlusAPI()
+            self.plus_api = PlusAPI(api_key="")
         self.ephemeral_trace_url = None
 
     def initialize_batch(

lib/crewai/src/crewai/events/types/loop_events.py

@@ -1,48 +0,0 @@
-"""Events related to agent loop detection."""
-
-from __future__ import annotations
-
-from typing import Any
-
-from pydantic import ConfigDict, model_validator
-
-from crewai.events.base_events import BaseEvent
-
-
-class LoopDetectedEvent(BaseEvent):
-    """Event emitted when a repetitive loop pattern is detected in agent behavior.
-
-    Attributes:
-        agent_role: Role of the agent that is looping.
-        repeated_tool: Description of the repeated tool call (name + args).
-        action_taken: The action taken to break the loop.
-        iteration: Current iteration count when the loop was detected.
-    """
-
-    agent_role: str
-    agent_id: str | None = None
-    task_id: str | None = None
-    repeated_tool: str | None = None
-    action_taken: str
-    iteration: int
-    agent: Any | None = None
-    type: str = "loop_detected"
-
-    model_config = ConfigDict(arbitrary_types_allowed=True)
-
-    @model_validator(mode="after")
-    def set_fingerprint_data(self) -> LoopDetectedEvent:
-        """Set fingerprint data from the agent if available."""
-        if (
-            self.agent
-            and hasattr(self.agent, "fingerprint")
-            and self.agent.fingerprint
-        ):
-            self.source_fingerprint = self.agent.fingerprint.uuid_str
-            self.source_type = "agent"
-            if (
-                hasattr(self.agent.fingerprint, "metadata")
-                and self.agent.fingerprint.metadata
-            ):
-                self.fingerprint_metadata = self.agent.fingerprint.metadata
-        return self

lib/crewai/src/crewai/telemetry/telemetry.py

@@ -173,12 +173,6 @@ class Telemetry:
 
         self._original_handlers: dict[int, Any] = {}
 
-        if threading.current_thread() is not threading.main_thread():
-            logger.debug(
-                "Skipping signal handler registration: not running in main thread"
-            )
-            return
-
         self._register_signal_handler(signal.SIGTERM, SigTermEvent, shutdown=True)
         self._register_signal_handler(signal.SIGINT, SigIntEvent, shutdown=True)
         if hasattr(signal, "SIGHUP"):

lib/crewai/src/crewai/translations/en.json

@@ -15,7 +15,6 @@
     "native_tools": "",
     "native_task": "\nCurrent Task: {input}",
     "post_tool_reasoning": "Analyze the tool result. If requirements are met, provide the Final Answer. Otherwise, call the next tool. Deliver only the answer without meta-commentary.",
-    "loop_detected": "WARNING: You appear to be repeating the same action ({repeated_tool}). You have called it {count} times with the same arguments. This is not making progress. You MUST try a completely different approach — use a different tool, different arguments, or provide your Final Answer now.",
     "format": "Decide if you need a tool or can provide the final answer. Use one at a time.\nTo use a tool, use:\nThought: [reasoning]\nAction: [name from {tool_names}]\nAction Input: [JSON object]\n\nTo provide the final answer, use:\nThought: [reasoning]\nFinal Answer: [complete response]",
     "final_answer_format": "If you don't need to use any more tools, you must give your best complete final answer, make sure it satisfies the expected criteria, use the EXACT format below:\n\n```\nThought: I now can give a great answer\nFinal Answer: my best complete final answer to the task.\n\n```",
     "format_without_tools": "\nSorry, I didn't use the right format. I MUST either use a tool (among the available ones), OR give my best final answer.\nHere is the expected format I must follow:\n\n```\nQuestion: the input question you must answer\nThought: you should always think about what to do\nAction: the action to take, should be one of [{tool_names}]\nAction Input: the input to the action\nObservation: the result of the action\n```\n This Thought/Action/Action Input/Result process can repeat N times. Once I know the final answer, I must return the following format:\n\n```\nThought: I now can give a great answer\nFinal Answer: Your final answer must be the great and the most complete as possible, it must be outcome described\n\n```",

lib/crewai/tests/agents/test_loop_detector.py

@@ -1,523 +0,0 @@
-"""Unit tests for LoopDetector and loop detection integration.
-
-Tests cover:
-- LoopDetector class: tracking, detection, message generation, configuration
-- ToolCallRecord equality and hashing
-- Edge cases: empty history, threshold boundaries, window overflow
-- Integration with CrewAgentExecutor._record_and_check_loop
-- LoopDetectedEvent creation
-"""
-
-from __future__ import annotations
-
-from unittest.mock import MagicMock, Mock, patch
-
-import pytest
-
-from crewai.agents.loop_detector import LoopDetector, ToolCallRecord
-from crewai.events.types.loop_events import LoopDetectedEvent
-
-
-# ---------------------------------------------------------------------------
-# ToolCallRecord
-# ---------------------------------------------------------------------------
-
-class TestToolCallRecord:
-    """Tests for ToolCallRecord model."""
-
-    def test_equality_same_name_and_args(self):
-        a = ToolCallRecord(tool_name="search", tool_args='{"q": "hello"}')
-        b = ToolCallRecord(tool_name="search", tool_args='{"q": "hello"}')
-        assert a == b
-
-    def test_inequality_different_name(self):
-        a = ToolCallRecord(tool_name="search", tool_args='{"q": "hello"}')
-        b = ToolCallRecord(tool_name="fetch", tool_args='{"q": "hello"}')
-        assert a != b
-
-    def test_inequality_different_args(self):
-        a = ToolCallRecord(tool_name="search", tool_args='{"q": "hello"}')
-        b = ToolCallRecord(tool_name="search", tool_args='{"q": "world"}')
-        assert a != b
-
-    def test_hash_same_records(self):
-        a = ToolCallRecord(tool_name="search", tool_args='{"q": "hello"}')
-        b = ToolCallRecord(tool_name="search", tool_args='{"q": "hello"}')
-        assert hash(a) == hash(b)
-
-    def test_hash_different_records(self):
-        a = ToolCallRecord(tool_name="search", tool_args='{"q": "hello"}')
-        b = ToolCallRecord(tool_name="search", tool_args='{"q": "world"}')
-        # Different records should (almost certainly) have different hashes
-        assert hash(a) != hash(b)
-
-    def test_equality_not_implemented_for_other_types(self):
-        a = ToolCallRecord(tool_name="search", tool_args="{}")
-        assert a != "not a record"
-        assert a.__eq__("not a record") is NotImplemented
-
-
-# ---------------------------------------------------------------------------
-# LoopDetector — Initialization
-# ---------------------------------------------------------------------------
-
-class TestLoopDetectorInit:
-    """Tests for LoopDetector initialization and defaults."""
-
-    def test_default_values(self):
-        ld = LoopDetector()
-        assert ld.window_size == 5
-        assert ld.repetition_threshold == 3
-        assert ld.on_loop == "inject_reflection"
-
-    def test_custom_values(self):
-        ld = LoopDetector(window_size=10, repetition_threshold=4, on_loop="stop")
-        assert ld.window_size == 10
-        assert ld.repetition_threshold == 4
-        assert ld.on_loop == "stop"
-
-    def test_callable_on_loop(self):
-        def my_cb(detector: LoopDetector) -> str:
-            return "custom"
-
-        ld = LoopDetector(on_loop=my_cb)
-        assert callable(ld.on_loop)
-
-    def test_window_size_minimum(self):
-        with pytest.raises(Exception):
-            LoopDetector(window_size=1)
-
-    def test_repetition_threshold_minimum(self):
-        with pytest.raises(Exception):
-            LoopDetector(repetition_threshold=1)
-
-
-# ---------------------------------------------------------------------------
-# LoopDetector — Argument Normalization
-# ---------------------------------------------------------------------------
-
-class TestNormalizeArgs:
-    """Tests for LoopDetector._normalize_args static method."""
-
-    def test_dict_sorted_keys(self):
-        result = LoopDetector._normalize_args({"b": 2, "a": 1})
-        assert result == '{"a": 1, "b": 2}'
-
-    def test_json_string_normalized(self):
-        result = LoopDetector._normalize_args('{"b": 2, "a": 1}')
-        assert result == '{"a": 1, "b": 2}'
-
-    def test_plain_string_stripped(self):
-        result = LoopDetector._normalize_args("  hello world  ")
-        assert result == "hello world"
-
-    def test_invalid_json_string(self):
-        result = LoopDetector._normalize_args("not json")
-        assert result == "not json"
-
-    def test_empty_dict(self):
-        result = LoopDetector._normalize_args({})
-        assert result == "{}"
-
-    def test_empty_string(self):
-        result = LoopDetector._normalize_args("")
-        assert result == ""
-
-
-# ---------------------------------------------------------------------------
-# LoopDetector — Recording and Detection
-# ---------------------------------------------------------------------------
-
-class TestLoopDetection:
-    """Tests for loop recording and detection logic."""
-
-    def test_no_loop_below_threshold(self):
-        ld = LoopDetector(repetition_threshold=3)
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-        assert ld.is_loop_detected() is False
-
-    def test_loop_at_threshold(self):
-        ld = LoopDetector(repetition_threshold=3)
-        for _ in range(3):
-            ld.record_tool_call("search", {"q": "test"})
-        assert ld.is_loop_detected() is True
-
-    def test_loop_above_threshold(self):
-        ld = LoopDetector(repetition_threshold=3)
-        for _ in range(5):
-            ld.record_tool_call("search", {"q": "test"})
-        assert ld.is_loop_detected() is True
-
-    def test_no_loop_with_different_tools(self):
-        ld = LoopDetector(repetition_threshold=3)
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("fetch", {"url": "http://example.com"})
-        ld.record_tool_call("read", {"file": "data.txt"})
-        assert ld.is_loop_detected() is False
-
-    def test_no_loop_with_different_args(self):
-        ld = LoopDetector(repetition_threshold=3)
-        ld.record_tool_call("search", {"q": "test1"})
-        ld.record_tool_call("search", {"q": "test2"})
-        ld.record_tool_call("search", {"q": "test3"})
-        assert ld.is_loop_detected() is False
-
-    def test_loop_with_mixed_calls(self):
-        """Loop detected even if other calls are interspersed, as long as
-        threshold is met within the window."""
-        ld = LoopDetector(window_size=5, repetition_threshold=3)
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("fetch", {"url": "http://example.com"})
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-        assert ld.is_loop_detected() is True
-
-    def test_window_overflow_removes_old_calls(self):
-        """Old calls slide out of the window, potentially clearing the loop."""
-        ld = LoopDetector(window_size=3, repetition_threshold=3)
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-        # Now add a different call — this pushes first "search" out when we add
-        # one more different call
-        ld.record_tool_call("fetch", {"url": "http://example.com"})
-        # Only 2 "search" in window at this point, not 3
-        assert ld.is_loop_detected() is False
-
-    def test_loop_with_string_args(self):
-        ld = LoopDetector(repetition_threshold=3)
-        for _ in range(3):
-            ld.record_tool_call("search", '{"q": "test"}')
-        assert ld.is_loop_detected() is True
-
-    def test_loop_with_equivalent_json_args(self):
-        """Args with different key order should be normalized and treated as equal."""
-        ld = LoopDetector(repetition_threshold=3)
-        ld.record_tool_call("search", '{"b": 2, "a": 1}')
-        ld.record_tool_call("search", '{"a": 1, "b": 2}')
-        ld.record_tool_call("search", {"a": 1, "b": 2})
-        assert ld.is_loop_detected() is True
-
-    def test_empty_history(self):
-        ld = LoopDetector()
-        assert ld.is_loop_detected() is False
-
-    def test_single_call(self):
-        ld = LoopDetector()
-        ld.record_tool_call("search", {"q": "test"})
-        assert ld.is_loop_detected() is False
-
-
-# ---------------------------------------------------------------------------
-# LoopDetector — Reset
-# ---------------------------------------------------------------------------
-
-class TestLoopDetectorReset:
-    """Tests for LoopDetector.reset()."""
-
-    def test_reset_clears_history(self):
-        ld = LoopDetector(repetition_threshold=3)
-        for _ in range(3):
-            ld.record_tool_call("search", {"q": "test"})
-        assert ld.is_loop_detected() is True
-        ld.reset()
-        assert ld.is_loop_detected() is False
-
-    def test_reset_allows_fresh_tracking(self):
-        ld = LoopDetector(repetition_threshold=3)
-        for _ in range(3):
-            ld.record_tool_call("search", {"q": "test"})
-        ld.reset()
-        # Now record again — should not trigger until threshold
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-        assert ld.is_loop_detected() is False
-
-
-# ---------------------------------------------------------------------------
-# LoopDetector — Messages and Tool Info
-# ---------------------------------------------------------------------------
-
-class TestLoopDetectorMessages:
-    """Tests for get_loop_message and get_repeated_tool_info."""
-
-    def test_get_loop_message_with_callable(self):
-        def my_callback(detector: LoopDetector) -> str:
-            return "Custom loop message"
-
-        ld = LoopDetector(on_loop=my_callback)
-        assert ld.get_loop_message() == "Custom loop message"
-
-    def test_get_loop_message_inject_reflection_returns_empty(self):
-        ld = LoopDetector(on_loop="inject_reflection")
-        assert ld.get_loop_message() == ""
-
-    def test_get_loop_message_stop_returns_empty(self):
-        ld = LoopDetector(on_loop="stop")
-        assert ld.get_loop_message() == ""
-
-    def test_get_repeated_tool_info_with_loop(self):
-        ld = LoopDetector(repetition_threshold=3)
-        for _ in range(3):
-            ld.record_tool_call("search", {"q": "test"})
-        info = ld.get_repeated_tool_info()
-        assert info is not None
-        assert "search" in info
-
-    def test_get_repeated_tool_info_no_loop(self):
-        ld = LoopDetector(repetition_threshold=3)
-        ld.record_tool_call("search", {"q": "test"})
-        assert ld.get_repeated_tool_info() is None
-
-    def test_get_repeated_tool_info_empty_history(self):
-        ld = LoopDetector()
-        assert ld.get_repeated_tool_info() is None
-
-    def test_callback_receives_detector_instance(self):
-        received = {}
-
-        def my_callback(detector: LoopDetector) -> str:
-            received["detector"] = detector
-            return "msg"
-
-        ld = LoopDetector(on_loop=my_callback)
-        ld.get_loop_message()
-        assert received["detector"] is ld
-
-
-# ---------------------------------------------------------------------------
-# LoopDetectedEvent
-# ---------------------------------------------------------------------------
-
-class TestLoopDetectedEvent:
-    """Tests for the LoopDetectedEvent model."""
-
-    def test_event_creation(self):
-        event = LoopDetectedEvent(
-            agent_role="Researcher",
-            agent_id="agent-1",
-            task_id="task-1",
-            repeated_tool="search({\"q\": \"test\"})",
-            action_taken="inject_reflection",
-            iteration=5,
-        )
-        assert event.agent_role == "Researcher"
-        assert event.repeated_tool == 'search({"q": "test"})'
-        assert event.action_taken == "inject_reflection"
-        assert event.iteration == 5
-        assert event.type == "loop_detected"
-
-    def test_event_with_agent_fingerprint(self):
-        mock_agent = MagicMock()
-        mock_agent.fingerprint.uuid_str = "fp-123"
-        mock_agent.fingerprint.metadata = {"key": "value"}
-
-        event = LoopDetectedEvent(
-            agent_role="Researcher",
-            action_taken="stop",
-            iteration=3,
-            agent=mock_agent,
-        )
-        assert event.source_fingerprint == "fp-123"
-        assert event.fingerprint_metadata == {"key": "value"}
-
-    def test_event_without_agent(self):
-        event = LoopDetectedEvent(
-            agent_role="Researcher",
-            action_taken="inject_reflection",
-            iteration=1,
-        )
-        assert event.agent is None
-        assert event.agent_id is None
-
-
-# ---------------------------------------------------------------------------
-# Integration: CrewAgentExecutor._record_and_check_loop
-# ---------------------------------------------------------------------------
-
-class TestRecordAndCheckLoop:
-    """Tests for the _record_and_check_loop helper on CrewAgentExecutor."""
-
-    @pytest.fixture
-    def _make_executor(self):
-        """Factory that builds a minimal CrewAgentExecutor-like object.
-
-        We import the real class and patch its __init__ so we can
-        test _record_and_check_loop without setting up the full executor.
-        """
-        from crewai.agents.crew_agent_executor import CrewAgentExecutor
-
-        def _factory(
-            loop_detector: LoopDetector | None = None,
-            verbose: bool = False,
-        ) -> CrewAgentExecutor:
-            executor = object.__new__(CrewAgentExecutor)
-            # Minimal attributes required by _record_and_check_loop
-            executor.loop_detector = loop_detector
-
-            mock_agent = Mock()
-            mock_agent.role = "Test Agent"
-            mock_agent.id = "agent-1"
-            mock_agent.verbose = verbose
-            executor.agent = mock_agent
-
-            mock_task = Mock()
-            mock_task.id = "task-1"
-            executor.task = mock_task
-
-            executor.iterations = 0
-            executor.messages = []
-
-            mock_printer = Mock()
-            executor._printer = mock_printer
-
-            mock_i18n = Mock()
-            mock_i18n.slice.return_value = (
-                "WARNING: You appear to be repeating the same action ({repeated_tool}). "
-                "You have called it {count} times."
-            )
-            executor._i18n = mock_i18n
-
-            mock_llm = Mock()
-            executor.llm = mock_llm
-            executor.callbacks = []
-
-            return executor
-
-        return _factory
-
-    def test_no_loop_detector_returns_none(self, _make_executor):
-        executor = _make_executor(loop_detector=None)
-        result = executor._record_and_check_loop("search", {"q": "test"})
-        assert result is None
-
-    def test_no_loop_detected_returns_none(self, _make_executor):
-        ld = LoopDetector(repetition_threshold=3)
-        executor = _make_executor(loop_detector=ld)
-        # Only 1 call — no loop
-        result = executor._record_and_check_loop("search", {"q": "test"})
-        assert result is None
-
-    @patch("crewai.agents.crew_agent_executor.crewai_event_bus")
-    def test_inject_reflection_appends_message(self, mock_bus, _make_executor):
-        ld = LoopDetector(repetition_threshold=3, on_loop="inject_reflection")
-        executor = _make_executor(loop_detector=ld)
-
-        # Record 2 calls before the 3rd (which triggers detection)
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-
-        result = executor._record_and_check_loop("search", {"q": "test"})
-
-        assert result is None  # inject_reflection does NOT stop
-        assert len(executor.messages) == 1
-        assert "repeating" in executor.messages[0]["content"].lower()
-        # Event should have been emitted
-        mock_bus.emit.assert_called_once()
-
-    @patch("crewai.agents.crew_agent_executor.crewai_event_bus")
-    @patch("crewai.agents.crew_agent_executor.handle_max_iterations_exceeded")
-    def test_stop_returns_agent_finish(
-        self, mock_handle_max, mock_bus, _make_executor
-    ):
-        from crewai.agents.parser import AgentFinish
-
-        mock_handle_max.return_value = AgentFinish(
-            thought="forced", output="Stopped", text="Stopped"
-        )
-
-        ld = LoopDetector(repetition_threshold=3, on_loop="stop")
-        executor = _make_executor(loop_detector=ld)
-
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-
-        result = executor._record_and_check_loop("search", {"q": "test"})
-
-        assert result is not None
-        assert isinstance(result, AgentFinish)
-        mock_handle_max.assert_called_once()
-        mock_bus.emit.assert_called_once()
-
-    @patch("crewai.agents.crew_agent_executor.crewai_event_bus")
-    def test_callable_on_loop_injects_callback_message(
-        self, mock_bus, _make_executor
-    ):
-        def custom_callback(detector: LoopDetector) -> str:
-            return "CUSTOM: Stop repeating yourself!"
-
-        ld = LoopDetector(repetition_threshold=3, on_loop=custom_callback)
-        executor = _make_executor(loop_detector=ld)
-
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-
-        result = executor._record_and_check_loop("search", {"q": "test"})
-
-        assert result is None
-        assert len(executor.messages) == 1
-        assert "CUSTOM: Stop repeating yourself!" in executor.messages[0]["content"]
-
-    @patch("crewai.agents.crew_agent_executor.crewai_event_bus")
-    def test_detection_resets_after_intervention(self, mock_bus, _make_executor):
-        ld = LoopDetector(repetition_threshold=3, on_loop="inject_reflection")
-        executor = _make_executor(loop_detector=ld)
-
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-
-        # 3rd call triggers loop
-        executor._record_and_check_loop("search", {"q": "test"})
-
-        # After intervention, detector should be reset
-        assert ld.is_loop_detected() is False
-
-    @patch("crewai.agents.crew_agent_executor.crewai_event_bus")
-    def test_verbose_prints_message(self, mock_bus, _make_executor):
-        ld = LoopDetector(repetition_threshold=3, on_loop="inject_reflection")
-        executor = _make_executor(loop_detector=ld, verbose=True)
-
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-
-        executor._record_and_check_loop("search", {"q": "test"})
-
-        executor._printer.print.assert_called_once()
-        call_kwargs = executor._printer.print.call_args
-        assert "Loop detected" in call_kwargs.kwargs.get(
-            "content", call_kwargs[1].get("content", "")
-        )
-
-    @patch("crewai.agents.crew_agent_executor.crewai_event_bus")
-    def test_event_contains_correct_data(self, mock_bus, _make_executor):
-        ld = LoopDetector(repetition_threshold=3, on_loop="inject_reflection")
-        executor = _make_executor(loop_detector=ld)
-
-        ld.record_tool_call("search", {"q": "test"})
-        ld.record_tool_call("search", {"q": "test"})
-
-        executor._record_and_check_loop("search", {"q": "test"})
-
-        event = mock_bus.emit.call_args[0][1]
-        assert isinstance(event, LoopDetectedEvent)
-        assert event.agent_role == "Test Agent"
-        assert event.action_taken == "inject_reflection"
-        assert event.iteration == 0  # executor.iterations was 0
-
-
-# ---------------------------------------------------------------------------
-# Public API import
-# ---------------------------------------------------------------------------
-
-class TestPublicImport:
-    """Verify LoopDetector is importable from the public crewai package."""
-
-    def test_import_from_crewai(self):
-        from crewai import LoopDetector as LD
-
-        assert LD is LoopDetector
-
-    def test_in_all(self):
-        import crewai
-
-        assert "LoopDetector" in crewai.__all__

lib/crewai/tests/telemetry/test_telemetry.py

@@ -121,41 +121,3 @@ def test_telemetry_singleton_pattern():
         thread.join()
 
     assert all(instance is telemetry1 for instance in instances)
-
-
-def test_no_signal_handler_traceback_in_non_main_thread():
-    """Signal handler registration should be silently skipped in non-main threads.
-
-    Regression test for https://github.com/crewAIInc/crewAI/issues/4289
-    """
-    errors: list[Exception] = []
-    mock_holder: dict = {}
-
-    def init_in_thread():
-        try:
-            Telemetry._instance = None
-            with (
-                patch.dict(
-                    os.environ,
-                    {"CREWAI_DISABLE_TELEMETRY": "false", "OTEL_SDK_DISABLED": "false"},
-                ),
-                patch("crewai.telemetry.telemetry.TracerProvider"),
-                patch("signal.signal") as mock_signal,
-                patch("crewai.telemetry.telemetry.logger") as mock_logger,
-            ):
-                Telemetry()
-                mock_holder["signal"] = mock_signal
-                mock_holder["logger"] = mock_logger
-        except Exception as exc:
-            errors.append(exc)
-
-    thread = threading.Thread(target=init_in_thread)
-    thread.start()
-    thread.join()
-
-    assert not errors, f"Unexpected error: {errors}"
-    assert mock_holder, "Thread did not execute"
-    mock_holder["signal"].assert_not_called()
-    mock_holder["logger"].debug.assert_any_call(
-        "Skipping signal handler registration: not running in main thread"
-    )

uv.lock

@@ -1197,7 +1197,7 @@ requires-dist = [
     { name = "crewai-files", marker = "extra == 'file-processing'", editable = "lib/crewai-files" },
     { name = "crewai-tools", marker = "extra == 'tools'", editable = "lib/crewai-tools" },
     { name = "docling", marker = "extra == 'docling'", specifier = "~=2.75.0" },
-    { name = "google-genai", marker = "extra == 'google-genai'", specifier = "~=1.65.0" },
+    { name = "google-genai", marker = "extra == 'google-genai'", specifier = "~=1.49.0" },
     { name = "httpx", specifier = "~=0.28.1" },
     { name = "httpx-auth", marker = "extra == 'a2a'", specifier = "~=0.23.1" },
     { name = "httpx-sse", marker = "extra == 'a2a'", specifier = "~=0.4.0" },
@@ -1227,7 +1227,7 @@ requires-dist = [
     { name = "regex", specifier = "~=2026.1.15" },
     { name = "textual", specifier = ">=7.5.0" },
     { name = "tiktoken", marker = "extra == 'embeddings'", specifier = "~=0.8.0" },
-    { name = "tokenizers", specifier = ">=0.21,<1" },
+    { name = "tokenizers", specifier = "~=0.20.3" },
     { name = "tomli", specifier = "~=2.0.2" },
     { name = "tomli-w", specifier = "~=1.1.0" },
     { name = "uv", specifier = "~=0.9.13" },
@@ -2249,11 +2249,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/83/1d/d6466de3a5249d35e832a52834115ca9d1d0de6abc22065f049707516d47/google_auth-2.48.0-py3-none-any.whl", hash = "sha256:2e2a537873d449434252a9632c28bfc268b0adb1e53f9fb62afc5333a975903f", size = 236499, upload-time = "2026-01-26T19:22:45.099Z" },
 ]
 
-[package.optional-dependencies]
-requests = [
-    { name = "requests" },
-]
-
 [[package]]
 name = "google-cloud-vision"
 version = "3.12.1"
@@ -2272,23 +2267,21 @@ wheels = [
 
 [[package]]
 name = "google-genai"
-version = "1.65.0"
+version = "1.49.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "anyio" },
-    { name = "distro" },
-    { name = "google-auth", extra = ["requests"] },
+    { name = "google-auth" },
     { name = "httpx" },
     { name = "pydantic" },
     { name = "requests" },
-    { name = "sniffio" },
     { name = "tenacity" },
     { name = "typing-extensions" },
     { name = "websockets" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/79/f9/cc1191c2540d6a4e24609a586c4ed45d2db57cfef47931c139ee70e5874a/google_genai-1.65.0.tar.gz", hash = "sha256:d470eb600af802d58a79c7f13342d9ea0d05d965007cae8f76c7adff3d7a4750", size = 497206, upload-time = "2026-02-26T00:20:33.824Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/82/49/1a724ee3c3748fa50721d53a52d9fee88c67d0c43bb16eb2b10ee89ab239/google_genai-1.49.0.tar.gz", hash = "sha256:35eb16023b72e298571ae30e919c810694f258f2ba68fc77a2185c7c8829ad5a", size = 253493, upload-time = "2025-11-05T22:41:03.278Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/68/3c/3fea4e7c91357c71782d7dcaad7a2577d636c90317e003386893c25bc62c/google_genai-1.65.0-py3-none-any.whl", hash = "sha256:68c025205856919bc03edb0155c11b4b833810b7ce17ad4b7a9eeba5158f6c44", size = 724429, upload-time = "2026-02-26T00:20:32.186Z" },
+    { url = "https://files.pythonhosted.org/packages/d5/d3/84a152746dc7bdebb8ba0fd7d6157263044acd1d14b2a53e8df4a307b6b7/google_genai-1.49.0-py3-none-any.whl", hash = "sha256:ad49cd5be5b63397069e7aef9a4fe0a84cbdf25fcd93408e795292308db4ef32", size = 256098, upload-time = "2025-11-05T22:41:01.429Z" },
 ]
 
 [[package]]
@@ -7650,32 +7643,68 @@ wheels = [
 
 [[package]]
 name = "tokenizers"
-version = "0.22.2"
+version = "0.20.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
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