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General Clean UP (#2042)

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* clean up. fix type safety. address memory config docs

* improve manager

* Include fix for o1 models not supporting system messages

* more broad with o1

* address fix: Typo in expected_output string #2045

* drop prints

* drop prints

* wip

* wip

* fix failing memory tests

* Fix memory provider issue

* clean up short term memory

* revert ltm

* drop
This commit is contained in:
Brandon Hancock (bhancock_ai)
2025-02-07 14:45:36 -05:00
committed by GitHub
parent 0cc02d9492
commit a7f5d574dc
12 changed files with 113 additions and 77 deletions
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24
src/crewai/agent.py
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@@ -1,7 +1,7 @@
import re
import shutil
import subprocess
from typing import Any, Dict, List, Literal, Optional, Union
from typing import Any, Dict, List, Literal, Optional, Sequence, Union
from pydantic import Field, InstanceOf, PrivateAttr, model_validator
@@ -55,7 +55,6 @@ class Agent(BaseAgent):
llm: The language model that will run the agent.
function_calling_llm: The language model that will handle the tool calling for this agent, it overrides the crew function_calling_llm.
max_iter: Maximum number of iterations for an agent to execute a task.
memory: Whether the agent should have memory or not.
max_rpm: Maximum number of requests per minute for the agent execution to be respected.
verbose: Whether the agent execution should be in verbose mode.
allow_delegation: Whether the agent is allowed to delegate tasks to other agents.
@@ -72,9 +71,6 @@ class Agent(BaseAgent):
)
agent_ops_agent_name: str = None # type: ignore # Incompatible types in assignment (expression has type "None", variable has type "str")
agent_ops_agent_id: str = None # type: ignore # Incompatible types in assignment (expression has type "None", variable has type "str")
cache_handler: InstanceOf[CacheHandler] = Field(
default=None, description="An instance of the CacheHandler class."
)
step_callback: Optional[Any] = Field(
default=None,
description="Callback to be executed after each step of the agent execution.",
@@ -108,10 +104,6 @@ class Agent(BaseAgent):
default=True,
description="Keep messages under the context window size by summarizing content.",
)
max_iter: int = Field(
default=20,
description="Maximum number of iterations for an agent to execute a task before giving it's best answer",
)
max_retry_limit: int = Field(
default=2,
description="Maximum number of retries for an agent to execute a task when an error occurs.",
@@ -197,13 +189,15 @@ class Agent(BaseAgent):
if task.output_json:
# schema = json.dumps(task.output_json, indent=2)
schema = generate_model_description(task.output_json)
task_prompt += "\n" + self.i18n.slice(
"formatted_task_instructions"
).format(output_format=schema)
elif task.output_pydantic:
schema = generate_model_description(task.output_pydantic)
task_prompt += "\n" + self.i18n.slice("formatted_task_instructions").format(
output_format=schema
)
task_prompt += "\n" + self.i18n.slice(
"formatted_task_instructions"
).format(output_format=schema)
if context:
task_prompt = self.i18n.slice("task_with_context").format(
@@ -331,14 +325,14 @@ class Agent(BaseAgent):
tools = agent_tools.tools()
return tools
def get_multimodal_tools(self) -> List[Tool]:
def get_multimodal_tools(self) -> Sequence[BaseTool]:
from crewai.tools.agent_tools.add_image_tool import AddImageTool
return [AddImageTool()]
def get_code_execution_tools(self):
try:
from crewai_tools import CodeInterpreterTool
from crewai_tools import CodeInterpreterTool # type: ignore
# Set the unsafe_mode based on the code_execution_mode attribute
unsafe_mode = self.code_execution_mode == "unsafe"