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

This commit is contained in:
Brandon Hancock
2025-01-24 15:35:13 -05:00
4 changed files with 68 additions and 41 deletions

View File

@@ -139,7 +139,6 @@ Now let's get you set up! 🚀
│ └── __init__.py
└── config/
├── agents.yaml
├── config.yaml
└── tasks.yaml
```
</Frame>

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@@ -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):
# Do not retry on authentication errors
if e.__class__.__module__.startswith("litellm"):
# Do not retry on litellm errors
raise e
self._times_executed += 1
if self._times_executed > self.max_retry_limit:

View File

@@ -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)
@@ -146,36 +149,25 @@ 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
elif self._is_litellm_authentication_error(e):
self._handle_litellm_auth_error(e)
raise e
else:
self._printer.print(
content=f"Unhandled exception: {e}",
color="red",
)
self._handle_unknown_error(e)
raise e
finally:
self.iterations += 1
self._show_logs(formatted_answer)
return formatted_answer
def _is_litellm_authentication_error(self, exception: Exception) -> bool:
"""Check if the exception is a litellm authentication error."""
if LiteLLMAuthenticationError and isinstance(
exception, LiteLLMAuthenticationError
):
return True
return False
def _handle_litellm_auth_error(self, exception: Exception) -> None:
"""Handle litellm authentication error by informing the user and exiting."""
def _handle_unknown_error(self, exception: Exception) -> None:
"""Handle unknown errors by informing the user."""
self._printer.print(
content="Authentication error with litellm occurred. Please check your API key and configuration.",
content="An unknown error occurred. Please check the details below.",
color="red",
)
self._printer.print(

View File

@@ -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"),
@@ -1638,13 +1638,13 @@ def test_litellm_auth_error_handling():
def test_crew_agent_executor_litellm_auth_error():
"""Test that CrewAgentExecutor properly identifies and handles LiteLLM authentication errors."""
from litellm import AuthenticationError as LiteLLMAuthenticationError
"""Test that CrewAgentExecutor handles LiteLLM authentication errors by raising them."""
from litellm.exceptions import AuthenticationError
from crewai.agents.tools_handler import ToolsHandler
from crewai.utilities import Printer
# Create an agent and executor with max_retry_limit=0
# Create an agent and executor
agent = Agent(
role="test role",
goal="test goal",
@@ -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="Authentication error with litellm occurred. Please check your API key and configuration.",
color="red",
)
mock_printer.assert_any_call(
content="Error details: litellm.AuthenticationError: Invalid API key",
content=error_message,
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()