Merge branch 'bugfix/litellm-plus-generic-excpetions' into bugfix/drop-user-warnings

src/crewai/agent.py

@@ -1,15 +1,12 @@
-import os
 import shutil
 import subprocess
 from typing import Any, Dict, List, Literal, Optional, Union
 
-from litellm import AuthenticationError as LiteLLMAuthenticationError
 from pydantic import Field, InstanceOf, PrivateAttr, model_validator
 
 from crewai.agents import CacheHandler
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.agents.crew_agent_executor import CrewAgentExecutor
-from crewai.cli.constants import ENV_VARS, LITELLM_PARAMS
 from crewai.knowledge.knowledge import Knowledge
 from crewai.knowledge.source.base_knowledge_source import BaseKnowledgeSource
 from crewai.knowledge.utils.knowledge_utils import extract_knowledge_context
@@ -262,8 +259,8 @@ class Agent(BaseAgent):
                 }
             )["output"]
         except Exception as e:
-            if isinstance(e, LiteLLMAuthenticationError):
+            if e.__class__.__module__.startswith("litellm"):
-                # Do not retry on authentication errors
+                # Do not retry on litellm errors
                 raise e
             self._times_executed += 1
             if self._times_executed > self.max_retry_limit:

src/crewai/agents/crew_agent_executor.py

@@ -3,8 +3,6 @@ import re
 from dataclasses import dataclass
 from typing import Any, Callable, Dict, List, Optional, Union
 
-from litellm.exceptions import AuthenticationError as LiteLLMAuthenticationError
-
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
 from crewai.agents.parser import (
@@ -103,7 +101,12 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         try:
             formatted_answer = self._invoke_loop()
         except Exception as e:
-            raise e
+            if e.__class__.__module__.startswith("litellm"):
+                # Do not retry on litellm errors
+                raise e
+            else:
+                self._handle_unknown_error(e)
+                raise e
 
         if self.ask_for_human_input:
             formatted_answer = self._handle_human_feedback(formatted_answer)
@@ -146,6 +149,9 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
                 formatted_answer = self._handle_output_parser_exception(e)
 
             except Exception as e:
+                if e.__class__.__module__.startswith("litellm"):
+                    # Do not retry on litellm errors
+                    raise e
                 if self._is_context_length_exceeded(e):
                     self._handle_context_length()
                     continue

src/crewai/cli/cli.py

@@ -1,3 +1,11 @@
+import warnings
+
+warnings.filterwarnings(
+    "ignore",
+    message="Valid config keys have changed in V2*",
+    category=UserWarning,
+)
+
 import os
 from importlib.metadata import version as get_version
 from typing import Optional, Tuple

src/crewai/cli/run_crew.py

@@ -11,6 +11,7 @@ def run_crew() -> None:
     """
     Run the crew by running a command in the UV environment.
     """
+    click.echo("Running crew hello...")
     command = ["uv", "run", "run_crew"]
     crewai_version = get_crewai_version()
     min_required_version = "0.71.0"

src/crewai/crew.py

@@ -57,9 +57,6 @@ except ImportError:
     agentops = None
 
 
-warnings.filterwarnings("ignore", category=SyntaxWarning, module="pysbd")
-
-
 class Crew(BaseModel):
     """
     Represents a group of agents, defining how they should collaborate and the tasks they should perform.

tests/agent_test.py

@@ -1623,7 +1623,7 @@ def test_litellm_auth_error_handling():
         agent=agent,
     )
 
-    # Mock the LLM call to raise LiteLLMAuthenticationError
+    # Mock the LLM call to raise AuthenticationError
     with (
         patch.object(LLM, "call") as mock_llm_call,
         pytest.raises(LiteLLMAuthenticationError, match="Invalid API key"),
@@ -1639,7 +1639,7 @@ def test_litellm_auth_error_handling():
 
 def test_crew_agent_executor_litellm_auth_error():
     """Test that CrewAgentExecutor handles LiteLLM authentication errors by raising them."""
-    from litellm import AuthenticationError as LiteLLMAuthenticationError
+    from litellm.exceptions import AuthenticationError
 
     from crewai.agents.tools_handler import ToolsHandler
     from crewai.utilities import Printer
@@ -1672,13 +1672,13 @@ def test_crew_agent_executor_litellm_auth_error():
         tools_handler=ToolsHandler(),
     )
 
-    # Mock the LLM call to raise LiteLLMAuthenticationError
+    # Mock the LLM call to raise AuthenticationError
     with (
         patch.object(LLM, "call") as mock_llm_call,
         patch.object(Printer, "print") as mock_printer,
-        pytest.raises(LiteLLMAuthenticationError, match="Invalid API key"),
+        pytest.raises(AuthenticationError) as exc_info,
     ):
-        mock_llm_call.side_effect = LiteLLMAuthenticationError(
+        mock_llm_call.side_effect = AuthenticationError(
             message="Invalid API key", llm_provider="openai", model="gpt-4"
         )
         executor.invoke(
@@ -1689,14 +1689,53 @@ def test_crew_agent_executor_litellm_auth_error():
             }
         )
 
-    # Verify error handling
+    # Verify error handling messages
+    error_message = f"Error during LLM call: {str(mock_llm_call.side_effect)}"
     mock_printer.assert_any_call(
-        content="An unknown error occurred. Please check the details below.",
+        content=error_message,
-        color="red",
-    )
-    mock_printer.assert_any_call(
-        content="Error details: litellm.AuthenticationError: Invalid API key",
         color="red",
     )
+
     # Verify the call was only made once (no retries)
     mock_llm_call.assert_called_once()
+
+    # Assert that the exception was raised and has the expected attributes
+    assert exc_info.type is AuthenticationError
+    assert "Invalid API key".lower() in exc_info.value.message.lower()
+    assert exc_info.value.llm_provider == "openai"
+    assert exc_info.value.model == "gpt-4"
+
+
+def test_litellm_anthropic_error_handling():
+    """Test that AnthropicError from LiteLLM is handled correctly and not retried."""
+    from litellm.llms.anthropic.common_utils import AnthropicError
+
+    # Create an agent with a mocked LLM that uses an Anthropic model
+    agent = Agent(
+        role="test role",
+        goal="test goal",
+        backstory="test backstory",
+        llm=LLM(model="claude-3.5-sonnet-20240620"),
+        max_retry_limit=0,
+    )
+
+    # Create a task
+    task = Task(
+        description="Test task",
+        expected_output="Test output",
+        agent=agent,
+    )
+
+    # Mock the LLM call to raise AnthropicError
+    with (
+        patch.object(LLM, "call") as mock_llm_call,
+        pytest.raises(AnthropicError, match="Test Anthropic error"),
+    ):
+        mock_llm_call.side_effect = AnthropicError(
+            status_code=500,
+            message="Test Anthropic error",
+        )
+        agent.execute_task(task)
+
+    # Verify the LLM call was only made once (no retries)
+    mock_llm_call.assert_called_once()