Better agent execution error handling (#54)

A few quality of life improvements around cache handling and repeated tool usage
This commit is contained in:
João Moura
2024-01-05 11:04:59 -03:00
committed by GitHub
parent 5602160caf
commit 13bb3abf57
16 changed files with 38 additions and 43 deletions

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@@ -1,4 +1,4 @@
from .cache_handler import CacheHandler
from .cache.cache_handler import CacheHandler
from .executor import CrewAgentExecutor
from .output_parser import CrewAgentOutputParser
from .tools_handler import ToolsHandler

2
crewai/agents/cache/__init__.py vendored Normal file
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@@ -0,0 +1,2 @@
from .cache_handler import CacheHandler
from .cache_hit import CacheHit

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@@ -0,0 +1,20 @@
from langchain_core.exceptions import OutputParserException
class TaskRepeatedUsageException(OutputParserException):
"""Exception raised when a task is used twice in a roll."""
error: str = "TaskRepeatedUsageException"
message: str = "\nI just used the {tool} tool with input {tool_input}. So I already know the result of that.\n"
def __init__(self, tool: str, tool_input: str):
self.tool = tool
self.tool_input = tool_input
self.message = self.message.format(tool=tool, tool_input=tool_input)
super().__init__(
error=self.error, observation=self.message, send_to_llm=True, llm_output=""
)
def __str__(self):
return self.message

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@@ -9,7 +9,7 @@ from langchain_core.exceptions import OutputParserException
from langchain_core.tools import BaseTool
from ..tools.cache_tools import CacheTools
from .cache_hit import CacheHit
from .cache.cache_hit import CacheHit
class CrewAgentExecutor(AgentExecutor):

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@@ -3,10 +3,9 @@ from typing import Union
from langchain.agents.output_parsers import ReActSingleInputOutputParser
from langchain_core.agents import AgentAction, AgentFinish
from langchain_core.exceptions import OutputParserException
from .cache_handler import CacheHandler
from .cache_hit import CacheHit
from .cache import CacheHandler, CacheHit
from .exceptions import TaskRepeatedUsageException
from .tools_handler import ToolsHandler
FINAL_ANSWER_ACTION = "Final Answer:"
@@ -67,9 +66,7 @@ class CrewAgentOutputParser(ReActSingleInputOutputParser):
"input": tool_input,
}
if usage == last_tool_usage:
raise OutputParserException(
f"""\nI just used the {action} tool with input {tool_input}. So I already know the result of that."""
)
raise TaskRepeatedUsageException(tool=action, tool_input=tool_input)
result = self.cache.read(action, tool_input)
if result:

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@@ -3,7 +3,7 @@ from typing import Any, Dict
from langchain.callbacks.base import BaseCallbackHandler
from ..tools.cache_tools import CacheTools
from .cache_handler import CacheHandler
from .cache.cache_handler import CacheHandler
class ToolsHandler(BaseCallbackHandler):