fix(gemini): surface thought output from thinking models

* fix(gemini): surface thought output from thinking models * chore(llm): remove unreachable hasattr guards on crewai_event_bus
fix: load MCP and platform tools when agent tools is None
2026-03-03 18:28:13 +00:00 · 2026-03-03 11:54:55 -05:00 · 2026-03-03 10:25:25 -05:00 · 2026-03-03 10:05:48 -05:00 · 2026-03-02 18:04:28 -05:00 · 2026-03-02 14:27:56 -05:00
14 changed files with 215 additions and 418 deletions
--- a/lib/crewai/pyproject.toml
+++ b/lib/crewai/pyproject.toml
@@ -21,7 +21,7 @@ dependencies = [
    "opentelemetry-exporter-otlp-proto-http~=1.34.0",
    # Data Handling
    "chromadb~=1.1.0",
-    "tokenizers~=0.20.3",
+    "tokenizers>=0.21,<1",
    "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~=1.49.0",
+    "google-genai~=1.65.0",
 ]
 azure-ai-inference = [
    "azure-ai-inference~=1.0.0b9",
--- a/lib/crewai/src/crewai/a2a/utils/agent_card.py
+++ b/lib/crewai/src/crewai/a2a/utils/agent_card.py
@@ -4,6 +4,7 @@ from __future__ import annotations

 import asyncio
 from collections.abc import MutableMapping
+import concurrent.futures
 from functools import lru_cache
 import ssl
 import time
@@ -138,14 +139,17 @@ def fetch_agent_card(
        ttl_hash = int(time.time() // cache_ttl)
        return _fetch_agent_card_cached(endpoint, auth_hash, timeout, ttl_hash)

-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
+    coro = afetch_agent_card(endpoint=endpoint, auth=auth, timeout=timeout)
    try:
-        return loop.run_until_complete(
-            afetch_agent_card(endpoint=endpoint, auth=auth, timeout=timeout)
-        )
-    finally:
-        loop.close()
+        asyncio.get_running_loop()
+        has_running_loop = True
+    except RuntimeError:
+        has_running_loop = False
+
+    if has_running_loop:
+        with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
+            return pool.submit(asyncio.run, coro).result()
+    return asyncio.run(coro)


 async def afetch_agent_card(
@@ -203,14 +207,17 @@ def _fetch_agent_card_cached(
    """Cached sync version of fetch_agent_card."""
    auth = _auth_store.get(auth_hash)

-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
+    coro = _afetch_agent_card_impl(endpoint=endpoint, auth=auth, timeout=timeout)
    try:
-        return loop.run_until_complete(
-            _afetch_agent_card_impl(endpoint=endpoint, auth=auth, timeout=timeout)
-        )
-    finally:
-        loop.close()
+        asyncio.get_running_loop()
+        has_running_loop = True
+    except RuntimeError:
+        has_running_loop = False
+
+    if has_running_loop:
+        with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
+            return pool.submit(asyncio.run, coro).result()
+    return asyncio.run(coro)


@cached(ttl=300, serializer=PickleSerializer())  # type: ignore[untyped-decorator]
--- a/lib/crewai/src/crewai/a2a/utils/delegation.py
+++ b/lib/crewai/src/crewai/a2a/utils/delegation.py
@@ -5,6 +5,7 @@ from __future__ import annotations
 import asyncio
 import base64
 from collections.abc import AsyncIterator, Callable, MutableMapping
+import concurrent.futures
 from contextlib import asynccontextmanager
 import logging
 from typing import TYPE_CHECKING, Any, Final, Literal
@@ -194,56 +195,43 @@ def execute_a2a_delegation(

    Returns:
        TaskStateResult with status, result/error, history, and agent_card.
-
-    Raises:
-        RuntimeError: If called from an async context with a running event loop.
    """
+    coro = aexecute_a2a_delegation(
+        endpoint=endpoint,
+        auth=auth,
+        timeout=timeout,
+        task_description=task_description,
+        context=context,
+        context_id=context_id,
+        task_id=task_id,
+        reference_task_ids=reference_task_ids,
+        metadata=metadata,
+        extensions=extensions,
+        conversation_history=conversation_history,
+        agent_id=agent_id,
+        agent_role=agent_role,
+        agent_branch=agent_branch,
+        response_model=response_model,
+        turn_number=turn_number,
+        updates=updates,
+        from_task=from_task,
+        from_agent=from_agent,
+        skill_id=skill_id,
+        client_extensions=client_extensions,
+        transport=transport,
+        accepted_output_modes=accepted_output_modes,
+        input_files=input_files,
+    )
    try:
        asyncio.get_running_loop()
-        raise RuntimeError(
-            "execute_a2a_delegation() cannot be called from an async context. "
-            "Use 'await aexecute_a2a_delegation()' instead."
-        )
-    except RuntimeError as e:
-        if "no running event loop" not in str(e).lower():
-            raise
+        has_running_loop = True
+    except RuntimeError:
+        has_running_loop = False

-    loop = asyncio.new_event_loop()
-    asyncio.set_event_loop(loop)
-    try:
-        return loop.run_until_complete(
-            aexecute_a2a_delegation(
-                endpoint=endpoint,
-                auth=auth,
-                timeout=timeout,
-                task_description=task_description,
-                context=context,
-                context_id=context_id,
-                task_id=task_id,
-                reference_task_ids=reference_task_ids,
-                metadata=metadata,
-                extensions=extensions,
-                conversation_history=conversation_history,
-                agent_id=agent_id,
-                agent_role=agent_role,
-                agent_branch=agent_branch,
-                response_model=response_model,
-                turn_number=turn_number,
-                updates=updates,
-                from_task=from_task,
-                from_agent=from_agent,
-                skill_id=skill_id,
-                client_extensions=client_extensions,
-                transport=transport,
-                accepted_output_modes=accepted_output_modes,
-                input_files=input_files,
-            )
-        )
-    finally:
-        try:
-            loop.run_until_complete(loop.shutdown_asyncgens())
-        finally:
-            loop.close()
+    if has_running_loop:
+        with concurrent.futures.ThreadPoolExecutor(max_workers=1) as pool:
+            return pool.submit(asyncio.run, coro).result()
+    return asyncio.run(coro)


 async def aexecute_a2a_delegation(
--- a/lib/crewai/src/crewai/agent/core.py
+++ b/lib/crewai/src/crewai/agent/core.py
@@ -1156,11 +1156,15 @@ class Agent(BaseAgent):
        # Process platform apps and MCP tools
        if self.apps:
            platform_tools = self.get_platform_tools(self.apps)
-            if platform_tools and self.tools is not None:
+            if platform_tools:
+                if self.tools is None:
+                    self.tools = []
                self.tools.extend(platform_tools)
        if self.mcps:
            mcps = self.get_mcp_tools(self.mcps)
-            if mcps and self.tools is not None:
+            if mcps:
+                if self.tools is None:
+                    self.tools = []
                self.tools.extend(mcps)

        # Prepare tools
--- a/lib/crewai/src/crewai/agents/crew_agent_executor.py
+++ b/lib/crewai/src/crewai/agents/crew_agent_executor.py
@@ -214,13 +214,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
        Returns:
            Dictionary with agent output.
        """
-        # Reset execution state for a fresh execution.
-        # When the same executor instance is reused across sequential tasks,
-        # stale messages and iteration counts must be cleared to prevent
-        # context pollution and premature max-iteration exits.
-        self.messages = []
-        self.iterations = 0
-
        self._setup_messages(inputs)

        self._inject_multimodal_files(inputs)
@@ -1122,13 +1115,6 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
        Returns:
            Dictionary with agent output.
        """
-        # Reset execution state for a fresh execution.
-        # When the same executor instance is reused across sequential tasks,
-        # stale messages and iteration counts must be cleared to prevent
-        # context pollution and premature max-iteration exits.
-        self.messages = []
-        self.iterations = 0
-
        self._setup_messages(inputs)

        await self._ainject_multimodal_files(inputs)
--- a/lib/crewai/src/crewai/cli/plus_api.py
+++ b/lib/crewai/src/crewai/cli/plus_api.py
@@ -22,14 +22,15 @@ 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:
+    def __init__(self, api_key: str | None = None) -> 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
--- a/lib/crewai/src/crewai/events/listeners/tracing/trace_batch_manager.py
+++ b/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(api_key="")
+            self.plus_api = PlusAPI()
        self.ephemeral_trace_url = None

    def initialize_batch(
--- a/lib/crewai/src/crewai/events/types/llm_events.py
+++ b/lib/crewai/src/crewai/events/types/llm_events.py
@@ -86,3 +86,11 @@ class LLMStreamChunkEvent(LLMEventBase):
    tool_call: ToolCall | None = None
    call_type: LLMCallType | None = None
    response_id: str | None = None
+
+
+class LLMThinkingChunkEvent(LLMEventBase):
+    """Event emitted when a thinking/reasoning chunk is received from a thinking model"""
+
+    type: str = "llm_thinking_chunk"
+    chunk: str
+    response_id: str | None = None
--- a/lib/crewai/src/crewai/llms/base_llm.py
+++ b/lib/crewai/src/crewai/llms/base_llm.py
@@ -26,6 +26,7 @@ from crewai.events.types.llm_events import (
    LLMCallStartedEvent,
    LLMCallType,
    LLMStreamChunkEvent,
+    LLMThinkingChunkEvent,
 )
 from crewai.events.types.tool_usage_events import (
    ToolUsageErrorEvent,
@@ -368,9 +369,6 @@ class BaseLLM(ABC):
        """Emit LLM call started event."""
        from crewai.utilities.serialization import to_serializable

-        if not hasattr(crewai_event_bus, "emit"):
-            raise ValueError("crewai_event_bus does not have an emit method") from None
-
        crewai_event_bus.emit(
            self,
            event=LLMCallStartedEvent(
@@ -416,9 +414,6 @@ class BaseLLM(ABC):
        from_agent: Agent | None = None,
    ) -> None:
        """Emit LLM call failed event."""
-        if not hasattr(crewai_event_bus, "emit"):
-            raise ValueError("crewai_event_bus does not have an emit method") from None
-
        crewai_event_bus.emit(
            self,
            event=LLMCallFailedEvent(
@@ -449,9 +444,6 @@ class BaseLLM(ABC):
            call_type: The type of LLM call (LLM_CALL or TOOL_CALL).
            response_id: Unique ID for a particular LLM response, chunks have same response_id.
        """
-        if not hasattr(crewai_event_bus, "emit"):
-            raise ValueError("crewai_event_bus does not have an emit method") from None
-
        crewai_event_bus.emit(
            self,
            event=LLMStreamChunkEvent(
@@ -465,6 +457,32 @@ class BaseLLM(ABC):
            ),
        )

+    def _emit_thinking_chunk_event(
+        self,
+        chunk: str,
+        from_task: Task | None = None,
+        from_agent: Agent | None = None,
+        response_id: str | None = None,
+    ) -> None:
+        """Emit thinking/reasoning chunk event from a thinking model.
+
+        Args:
+            chunk: The thinking text content.
+            from_task: The task that initiated the call.
+            from_agent: The agent that initiated the call.
+            response_id: Unique ID for a particular LLM response.
+        """
+        crewai_event_bus.emit(
+            self,
+            event=LLMThinkingChunkEvent(
+                chunk=chunk,
+                from_task=from_task,
+                from_agent=from_agent,
+                response_id=response_id,
+                call_id=get_current_call_id(),
+            ),
+        )
+
    def _handle_tool_execution(
        self,
        function_name: str,
--- a/lib/crewai/src/crewai/llms/providers/gemini/completion.py
+++ b/lib/crewai/src/crewai/llms/providers/gemini/completion.py
@@ -61,6 +61,7 @@ class GeminiCompletion(BaseLLM):
        interceptor: BaseInterceptor[Any, Any] | None = None,
        use_vertexai: bool | None = None,
        response_format: type[BaseModel] | None = None,
+        thinking_config: types.ThinkingConfig | None = None,
        **kwargs: Any,
    ):
        """Initialize Google Gemini chat completion client.
@@ -93,6 +94,10 @@ class GeminiCompletion(BaseLLM):
                         api_version="v1" is automatically configured.
            response_format: Pydantic model for structured output. Used as default when
                           response_model is not passed to call()/acall() methods.
+            thinking_config: ThinkingConfig for thinking models (gemini-2.5+, gemini-3+).
+                           Controls thought output via include_thoughts, thinking_budget,
+                           and thinking_level. When None, thinking models automatically
+                           get include_thoughts=True so thought content is surfaced.
            **kwargs: Additional parameters
        """
        if interceptor is not None:
@@ -139,6 +144,14 @@ class GeminiCompletion(BaseLLM):
            version_match and float(version_match.group(1)) >= 2.0
        )

+        self.thinking_config = thinking_config
+        if (
+            self.thinking_config is None
+            and version_match
+            and float(version_match.group(1)) >= 2.5
+        ):
+            self.thinking_config = types.ThinkingConfig(include_thoughts=True)
+
    @property
    def stop(self) -> list[str]:
        """Get stop sequences sent to the API."""
@@ -520,6 +533,9 @@ class GeminiCompletion(BaseLLM):
        if self.safety_settings:
            config_params["safety_settings"] = self.safety_settings

+        if self.thinking_config is not None:
+            config_params["thinking_config"] = self.thinking_config
+
        return types.GenerateContentConfig(**config_params)

    def _convert_tools_for_interference(  # type: ignore[override]
@@ -931,15 +947,6 @@ class GeminiCompletion(BaseLLM):
        if chunk.usage_metadata:
            usage_data = self._extract_token_usage(chunk)

-        if chunk.text:
-            full_response += chunk.text
-            self._emit_stream_chunk_event(
-                chunk=chunk.text,
-                from_task=from_task,
-                from_agent=from_agent,
-                response_id=response_id,
-            )
-
        if chunk.candidates:
            candidate = chunk.candidates[0]
            if candidate.content and candidate.content.parts:
@@ -976,6 +983,21 @@ class GeminiCompletion(BaseLLM):
                            call_type=LLMCallType.TOOL_CALL,
                            response_id=response_id,
                        )
+                    elif part.thought and part.text:
+                        self._emit_thinking_chunk_event(
+                            chunk=part.text,
+                            from_task=from_task,
+                            from_agent=from_agent,
+                            response_id=response_id,
+                        )
+                    elif part.text:
+                        full_response += part.text
+                        self._emit_stream_chunk_event(
+                            chunk=part.text,
+                            from_task=from_task,
+                            from_agent=from_agent,
+                            response_id=response_id,
+                        )

        return full_response, function_calls, usage_data

@@ -1329,7 +1351,7 @@ class GeminiCompletion(BaseLLM):
        text_parts = [
            part.text
            for part in candidate.content.parts
-            if hasattr(part, "text") and part.text
+            if part.text and not part.thought
        ]

        return "".join(text_parts)
--- a/lib/crewai/src/crewai/telemetry/telemetry.py
+++ b/lib/crewai/src/crewai/telemetry/telemetry.py
@@ -173,6 +173,12 @@ 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"):
--- a/lib/crewai/tests/agents/test_crew_agent_executor_state_reset.py
+++ b/lib/crewai/tests/agents/test_crew_agent_executor_state_reset.py
@@ -1,252 +0,0 @@
-"""Tests for CrewAgentExecutor state reset between task executions.
-
-Verifies that messages and iterations are properly cleared when the same
-executor instance is reused across sequential tasks, preventing context
-pollution and premature max-iteration exits.
-
-Related issues: #4319, #4389, #4661
-"""
-
-from __future__ import annotations
-
-from typing import Any
-from unittest.mock import MagicMock, Mock, patch
-
-import pytest
-
-from crewai.agents.crew_agent_executor import CrewAgentExecutor
-from crewai.agents.parser import AgentFinish
-
-
-@pytest.fixture
-def _make_executor() -> callable:
-    """Factory fixture that builds a CrewAgentExecutor with mocked deps."""
-
-    def _factory(**overrides: Any) -> CrewAgentExecutor:
-        llm = Mock()
-        llm.supports_stop_words.return_value = True
-        llm.stop = []
-        llm.supports_function_calling.return_value = False
-
-        task = Mock()
-        task.id = "task-1"
-        task.description = "Test task"
-        task.human_input = False
-        task.response_model = None
-        task.output_pydantic = None
-        task.output_json = None
-
-        crew = MagicMock()
-        crew.id = "crew-1"
-        crew._memory = None
-        crew._train = False
-        crew.verbose = False
-
-        agent = MagicMock()
-        agent.id = "agent-1"
-        agent.role = "Tester"
-        agent.verbose = False
-        agent.key = "tester-key"
-        agent.security_config = MagicMock()
-        agent.security_config.fingerprint = "fp-123"
-
-        tools_handler = Mock()
-        tools_handler.cache = None
-
-        defaults: dict[str, Any] = {
-            "llm": llm,
-            "task": task,
-            "crew": crew,
-            "agent": agent,
-            "prompt": {"system": "You are a helper.", "user": "Do {input}"},
-            "max_iter": 10,
-            "tools": [],
-            "tools_names": "",
-            "stop_words": ["Observation:"],
-            "tools_description": "",
-            "tools_handler": tools_handler,
-        }
-        defaults.update(overrides)
-        return CrewAgentExecutor(**defaults)
-
-    return _factory
-
-
-class TestCrewAgentExecutorStateReset:
-    """Ensure invoke() and ainvoke() reset execution state."""
-
-    # ------------------------------------------------------------------
-    # Synchronous invoke
-    # ------------------------------------------------------------------
-
-    @patch(
-        "crewai.agents.crew_agent_executor.get_all_files",
-        return_value=None,
-    )
-    @patch(
-        "crewai.agents.crew_agent_executor.get_llm_response",
-        return_value="Final Answer: done",
-    )
-    def test_invoke_resets_messages_between_calls(
-        self,
-        _mock_llm_response: Mock,
-        _mock_files: Mock,
-        _make_executor: callable,
-    ) -> None:
-        """Messages list should be fresh on every invoke() call."""
-        executor = _make_executor()
-
-        inputs: dict[str, str] = {"input": "task-one", "tool_names": "", "tools": ""}
-
-        # First invocation
-        executor.invoke(inputs)
-
-        # Messages should have been populated during the first run
-        msgs_after_first = list(executor.messages)
-        assert len(msgs_after_first) > 0
-
-        # Second invocation (simulating reuse for a different task)
-        executor.invoke(inputs)
-
-        # The messages list should NOT contain leftovers from the first run.
-        # It should start fresh with only messages from the second invocation.
-        # Specifically, there should be exactly one system and one user message
-        # from _setup_messages, plus any assistant messages from the loop.
-        system_msgs = [m for m in executor.messages if m.get("role") == "system"]
-        assert len(system_msgs) == 1, (
-            f"Expected exactly 1 system message after second invoke, "
-            f"got {len(system_msgs)}"
-        )
-
-    @patch(
-        "crewai.agents.crew_agent_executor.get_all_files",
-        return_value=None,
-    )
-    @patch(
-        "crewai.agents.crew_agent_executor.get_llm_response",
-        return_value="Final Answer: done",
-    )
-    def test_invoke_resets_iterations_between_calls(
-        self,
-        _mock_llm_response: Mock,
-        _mock_files: Mock,
-        _make_executor: callable,
-    ) -> None:
-        """Iterations counter should reset to 0 on every invoke() call."""
-        executor = _make_executor()
-
-        inputs: dict[str, str] = {"input": "task-one", "tool_names": "", "tools": ""}
-
-        executor.invoke(inputs)
-        assert executor.iterations > 0, "iterations should have incremented"
-
-        # Second invocation
-        executor.invoke(inputs)
-
-        # iterations should have been reset and only reflect the second run
-        # (for a single-pass answer it should be 1)
-        assert executor.iterations == 1, (
-            f"Expected iterations == 1 after reset, got {executor.iterations}"
-        )
-
-    # ------------------------------------------------------------------
-    # Asynchronous ainvoke
-    # ------------------------------------------------------------------
-
-    @pytest.mark.asyncio
-    @patch(
-        "crewai.agents.crew_agent_executor.aget_all_files",
-        return_value=None,
-    )
-    @patch(
-        "crewai.agents.crew_agent_executor.aget_llm_response",
-        return_value="Final Answer: done",
-    )
-    async def test_ainvoke_resets_messages_between_calls(
-        self,
-        _mock_llm_response: Mock,
-        _mock_files: Mock,
-        _make_executor: callable,
-    ) -> None:
-        """Messages list should be fresh on every ainvoke() call."""
-        executor = _make_executor()
-
-        inputs: dict[str, str] = {"input": "task-one", "tool_names": "", "tools": ""}
-
-        await executor.ainvoke(inputs)
-
-        msgs_after_first = list(executor.messages)
-        assert len(msgs_after_first) > 0
-
-        await executor.ainvoke(inputs)
-
-        system_msgs = [m for m in executor.messages if m.get("role") == "system"]
-        assert len(system_msgs) == 1, (
-            f"Expected exactly 1 system message after second ainvoke, "
-            f"got {len(system_msgs)}"
-        )
-
-    @pytest.mark.asyncio
-    @patch(
-        "crewai.agents.crew_agent_executor.aget_all_files",
-        return_value=None,
-    )
-    @patch(
-        "crewai.agents.crew_agent_executor.aget_llm_response",
-        return_value="Final Answer: done",
-    )
-    async def test_ainvoke_resets_iterations_between_calls(
-        self,
-        _mock_llm_response: Mock,
-        _mock_files: Mock,
-        _make_executor: callable,
-    ) -> None:
-        """Iterations counter should reset to 0 on every ainvoke() call."""
-        executor = _make_executor()
-
-        inputs: dict[str, str] = {"input": "task-one", "tool_names": "", "tools": ""}
-
-        await executor.ainvoke(inputs)
-        assert executor.iterations > 0
-
-        await executor.ainvoke(inputs)
-
-        assert executor.iterations == 1, (
-            f"Expected iterations == 1 after reset, got {executor.iterations}"
-        )
-
-    # ------------------------------------------------------------------
-    # Regression: multiple sequential tasks via the same executor
-    # ------------------------------------------------------------------
-
-    @patch(
-        "crewai.agents.crew_agent_executor.get_all_files",
-        return_value=None,
-    )
-    @patch(
-        "crewai.agents.crew_agent_executor.get_llm_response",
-        return_value="Final Answer: result",
-    )
-    def test_no_context_leak_across_three_sequential_invokes(
-        self,
-        _mock_llm_response: Mock,
-        _mock_files: Mock,
-        _make_executor: callable,
-    ) -> None:
-        """Simulates an agent reused across 3 sequential tasks.
-
-        After each invoke the message count should be consistent and not
-        grow unboundedly.
-        """
-        executor = _make_executor()
-        inputs: dict[str, str] = {"input": "task", "tool_names": "", "tools": ""}
-
-        message_counts: list[int] = []
-        for _ in range(3):
-            executor.invoke(inputs)
-            message_counts.append(len(executor.messages))
-
-        # All three runs should produce the same number of messages
-        assert message_counts[0] == message_counts[1] == message_counts[2], (
-            f"Message counts diverged across sequential invokes: {message_counts}"
-        )
--- a/lib/crewai/tests/telemetry/test_telemetry.py
+++ b/lib/crewai/tests/telemetry/test_telemetry.py
@@ -121,3 +121,41 @@ 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"
+    )
--- a/uv.lock
+++ b/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 = "~=1.49.0" },
+    { name = "google-genai", marker = "extra == 'google-genai'", specifier = "~=1.65.0" },
    { 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 = "~=0.20.3" },
+    { name = "tokenizers", specifier = ">=0.21,<1" },
    { name = "tomli", specifier = "~=2.0.2" },
    { name = "tomli-w", specifier = "~=1.1.0" },
    { name = "uv", specifier = "~=0.9.13" },
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 ]

+[package.optional-dependencies]
+requests = [
+    { name = "requests" },
+]
+
 [[package]]
 name = "google-cloud-vision"
 version = "3.12.1"
@@ -2267,21 +2272,23 @@ wheels = [

 [[package]]
 name = "google-genai"
-version = "1.49.0"
+version = "1.65.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "anyio" },
-    { name = "google-auth" },
+    { name = "distro" },
+    { name = "google-auth", extra = ["requests"] },
    { name = "httpx" },
    { name = "pydantic" },
    { name = "requests" },
+    { name = "sniffio" },
    { name = "tenacity" },
    { name = "typing-extensions" },
    { name = "websockets" },
 ]
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+version = "0.22.2"
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 [[package]]
Author	SHA1	Message	Date
Greyson LaLonde	a8f51419f6	fix(gemini): surface thought output from thinking models Some checks are pending CodeQL Advanced / Analyze (actions) (push) Waiting to run Details CodeQL Advanced / Analyze (python) (push) Waiting to run Details * fix(gemini): surface thought output from thinking models * chore(llm): remove unreachable hasattr guards on crewai_event_bus	2026-03-03 11:54:55 -05:00
Greyson LaLonde	e7f17d2284	fix: load MCP and platform tools when agent tools is None Closes #4568	2026-03-03 10:25:25 -05:00
Greyson LaLonde	5d0811258f	fix(a2a): support Jupyter environments with running event loops	2026-03-03 10:05:48 -05:00
Greyson LaLonde	7972192d55	fix(deps): bump tokenizers lower bound to >=0.21 to avoid broken 0.20.3 Some checks failed Build uv cache / build-cache (3.10) (push) Waiting to run Details Build uv cache / build-cache (3.11) (push) Waiting to run Details Build uv cache / build-cache (3.12) (push) Waiting to run Details Build uv cache / build-cache (3.13) (push) Waiting to run Details CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details	2026-03-02 18:04:28 -05:00
Mike Plachta	b3f8a42321	feat: upgrade gemini genai Co-authored-by: Greyson LaLonde <greyson.r.lalonde@gmail.com> Co-authored-by: Lorenze Jay <63378463+lorenzejay@users.noreply.github.com>	2026-03-02 14:27:56 -05:00
Greyson LaLonde	21224f2bc5	fix: conditionally pass plus header Some checks failed CodeQL Advanced / Analyze (actions) (push) Has been cancelled Details CodeQL Advanced / Analyze (python) (push) Has been cancelled Details Empty strings are considered illegal values for bearer auth in `httpx`.	2026-03-02 09:27:54 -05:00
Giulio Leone	b76022c1e7	fix(telemetry): skip signal handler registration in non-main threads * fix(telemetry): skip signal handler registration in non-main threads When CrewAI is initialized from a non-main thread (e.g. Streamlit, Flask, Django, Jupyter), the telemetry module attempted to register signal handlers which only work in the main thread. This caused multiple noisy ValueError tracebacks to be printed to stderr, confusing users even though the errors were caught and non-fatal. Check `threading.current_thread() is not threading.main_thread()` before attempting signal registration, and skip silently with a debug-level log message instead of printing full tracebacks. Fixes crewAIInc/crewAI#4289 * fix(test): move Telemetry() inside signal.signal mock context Refs: #4649 * fix(telemetry): move signal.signal mock inside thread to wrap Telemetry() construction The patch context now activates inside init_in_thread so the mock is guaranteed to be active before and during Telemetry.__init__, addressing the Copilot review feedback. Refs: #4289 * fix(test): mock logger.debug instead of capsys for deterministic assertion Replace signal.signal-only mock with combined logger + signal mock. Assert logger.debug was called with the skip message and signal.signal was never invoked from the non-main thread. Refs: #4289	2026-03-02 07:42:55 -05:00