Adding Autocomplete to OSS (#1198)

* Cleaned up model_config

* Fix pydantic issues

* 99% done with autocomplete

* fixed test issues

* Fix type checking issues
This commit is contained in:
Brandon Hancock (bhancock_ai)
2024-08-16 15:04:21 -04:00
committed by GitHub
parent 3451b6fc7a
commit bf7372fefa
14 changed files with 110 additions and 122 deletions

View File

@@ -113,10 +113,11 @@ class Agent(BaseAgent):
description="Maximum number of retries for an agent to execute a task when an error occurs.",
)
def __init__(__pydantic_self__, **data):
config = data.pop("config", {})
super().__init__(**config, **data)
__pydantic_self__.agent_ops_agent_name = __pydantic_self__.role
@model_validator(mode="after")
def set_agent_ops_agent_name(self) -> "Agent":
"""Set agent ops agent name."""
self.agent_ops_agent_name = self.role
return self
@model_validator(mode="after")
def set_agent_executor(self) -> "Agent":
@@ -213,7 +214,7 @@ class Agent(BaseAgent):
raise e
result = self.execute_task(task, context, tools)
if self.max_rpm:
if self.max_rpm and self._rpm_controller:
self._rpm_controller.stop_rpm_counter()
# If there was any tool in self.tools_results that had result_as_answer

View File

@@ -7,7 +7,6 @@ from typing import Any, Dict, List, Optional, TypeVar
from pydantic import (
UUID4,
BaseModel,
ConfigDict,
Field,
InstanceOf,
PrivateAttr,
@@ -74,12 +73,17 @@ class BaseAgent(ABC, BaseModel):
"""
__hash__ = object.__hash__ # type: ignore
_logger: Logger = PrivateAttr()
_rpm_controller: RPMController = PrivateAttr(default=None)
_logger: Logger = PrivateAttr(default_factory=lambda: Logger(verbose=False))
_rpm_controller: Optional[RPMController] = PrivateAttr(default=None)
_request_within_rpm_limit: Any = PrivateAttr(default=None)
formatting_errors: int = 0
model_config = ConfigDict(arbitrary_types_allowed=True)
_original_role: Optional[str] = PrivateAttr(default=None)
_original_goal: Optional[str] = PrivateAttr(default=None)
_original_backstory: Optional[str] = PrivateAttr(default=None)
_token_process: TokenProcess = PrivateAttr(default_factory=TokenProcess)
id: UUID4 = Field(default_factory=uuid.uuid4, frozen=True)
formatting_errors: int = Field(
default=0, description="Number of formatting errors."
)
role: str = Field(description="Role of the agent")
goal: str = Field(description="Objective of the agent")
backstory: str = Field(description="Backstory of the agent")
@@ -123,15 +127,6 @@ class BaseAgent(ABC, BaseModel):
default=None, description="Maximum number of tokens for the agent's execution."
)
_original_role: str | None = None
_original_goal: str | None = None
_original_backstory: str | None = None
_token_process: TokenProcess = TokenProcess()
def __init__(__pydantic_self__, **data):
config = data.pop("config", {})
super().__init__(**config, **data)
@model_validator(mode="after")
def set_config_attributes(self):
if self.config:

View File

@@ -1,13 +1,12 @@
from typing import Optional
from typing import Any, Dict, Optional
from pydantic import BaseModel, PrivateAttr
class CacheHandler:
class CacheHandler(BaseModel):
"""Callback handler for tool usage."""
_cache: dict = {}
def __init__(self):
self._cache = {}
_cache: Dict[str, Any] = PrivateAttr(default_factory=dict)
def add(self, tool, input, output):
self._cache[f"{tool}-{input}"] = output

View File

@@ -10,7 +10,6 @@ from langchain_core.callbacks import BaseCallbackHandler
from pydantic import (
UUID4,
BaseModel,
ConfigDict,
Field,
InstanceOf,
Json,
@@ -105,7 +104,6 @@ class Crew(BaseModel):
name: Optional[str] = Field(default=None)
cache: bool = Field(default=True)
model_config = ConfigDict(arbitrary_types_allowed=True)
tasks: List[Task] = Field(default_factory=list)
agents: List[BaseAgent] = Field(default_factory=list)
process: Process = Field(default=Process.sequential)

View File

@@ -4,14 +4,12 @@ from typing import Any, Callable, Dict
import yaml
from dotenv import load_dotenv
from pydantic import ConfigDict
load_dotenv()
def CrewBase(cls):
class WrappedClass(cls):
model_config = ConfigDict(arbitrary_types_allowed=True)
is_crew_class: bool = True # type: ignore
# Get the directory of the class being decorated

View File

@@ -1,24 +1,24 @@
from typing import Callable, Dict
from pydantic import ConfigDict
from typing import Any, Callable, Dict, List, Type, Union
from crewai.crew import Crew
from crewai.pipeline.pipeline import Pipeline
from crewai.routers.router import Router
PipelineStage = Union[Crew, List[Crew], Router]
# TODO: Could potentially remove. Need to check with @joao and @gui if this is needed for CrewAI+
def PipelineBase(cls):
def PipelineBase(cls: Type[Any]) -> Type[Any]:
class WrappedClass(cls):
model_config = ConfigDict(arbitrary_types_allowed=True)
is_pipeline_class: bool = True # type: ignore
stages: List[PipelineStage]
def __init__(self, *args, **kwargs):
def __init__(self, *args: Any, **kwargs: Any) -> None:
super().__init__(*args, **kwargs)
self.stages = []
self._map_pipeline_components()
def _get_all_functions(self):
def _get_all_functions(self) -> Dict[str, Callable[..., Any]]:
return {
name: getattr(self, name)
for name in dir(self)
@@ -26,15 +26,15 @@ def PipelineBase(cls):
}
def _filter_functions(
self, functions: Dict[str, Callable], attribute: str
) -> Dict[str, Callable]:
self, functions: Dict[str, Callable[..., Any]], attribute: str
) -> Dict[str, Callable[..., Any]]:
return {
name: func
for name, func in functions.items()
if hasattr(func, attribute)
}
def _map_pipeline_components(self):
def _map_pipeline_components(self) -> None:
all_functions = self._get_all_functions()
crew_functions = self._filter_functions(all_functions, "is_crew")
router_functions = self._filter_functions(all_functions, "is_router")

View File

@@ -1,32 +1,26 @@
from copy import deepcopy
from typing import Any, Callable, Dict, Generic, Tuple, TypeVar
from typing import Any, Callable, Dict, Tuple
from pydantic import BaseModel, Field, PrivateAttr
T = TypeVar("T", bound=Dict[str, Any])
U = TypeVar("U")
class Route(BaseModel):
condition: Callable[[Dict[str, Any]], bool]
pipeline: Any
class Route(Generic[T, U]):
condition: Callable[[T], bool]
pipeline: U
def __init__(self, condition: Callable[[T], bool], pipeline: U):
self.condition = condition
self.pipeline = pipeline
class Router(BaseModel, Generic[T, U]):
routes: Dict[str, Route[T, U]] = Field(
class Router(BaseModel):
routes: Dict[str, Route] = Field(
default_factory=dict,
description="Dictionary of route names to (condition, pipeline) tuples",
)
default: U = Field(..., description="Default pipeline if no conditions are met")
default: Any = Field(..., description="Default pipeline if no conditions are met")
_route_types: Dict[str, type] = PrivateAttr(default_factory=dict)
model_config = {"arbitrary_types_allowed": True}
class Config:
arbitrary_types_allowed = True
def __init__(self, routes: Dict[str, Route[T, U]], default: U, **data):
def __init__(self, routes: Dict[str, Route], default: Any, **data):
super().__init__(routes=routes, default=default, **data)
self._check_copyable(default)
for name, route in routes.items():
@@ -34,16 +28,16 @@ class Router(BaseModel, Generic[T, U]):
self._route_types[name] = type(route.pipeline)
@staticmethod
def _check_copyable(obj):
def _check_copyable(obj: Any) -> None:
if not hasattr(obj, "copy") or not callable(getattr(obj, "copy")):
raise ValueError(f"Object of type {type(obj)} must have a 'copy' method")
def add_route(
self,
name: str,
condition: Callable[[T], bool],
pipeline: U,
) -> "Router[T, U]":
condition: Callable[[Dict[str, Any]], bool],
pipeline: Any,
) -> "Router":
"""
Add a named route with its condition and corresponding pipeline to the router.
@@ -60,7 +54,7 @@ class Router(BaseModel, Generic[T, U]):
self._route_types[name] = type(pipeline)
return self
def route(self, input_data: T) -> Tuple[U, str]:
def route(self, input_data: Dict[str, Any]) -> Tuple[Any, str]:
"""
Evaluate the input against the conditions and return the appropriate pipeline.
@@ -76,15 +70,15 @@ class Router(BaseModel, Generic[T, U]):
return self.default, "default"
def copy(self) -> "Router[T, U]":
def copy(self) -> "Router":
"""Create a deep copy of the Router."""
new_routes = {
name: Route(
condition=deepcopy(route.condition),
pipeline=route.pipeline.copy(), # type: ignore
pipeline=route.pipeline.copy(),
)
for name, route in self.routes.items()
}
new_default = self.default.copy() # type: ignore
new_default = self.default.copy()
return Router(routes=new_routes, default=new_default)

View File

@@ -9,7 +9,14 @@ from hashlib import md5
from typing import Any, Dict, List, Optional, Tuple, Type, Union
from opentelemetry.trace import Span
from pydantic import UUID4, BaseModel, Field, field_validator, model_validator
from pydantic import (
UUID4,
BaseModel,
Field,
PrivateAttr,
field_validator,
model_validator,
)
from pydantic_core import PydanticCustomError
from crewai.agents.agent_builder.base_agent import BaseAgent
@@ -39,9 +46,6 @@ class Task(BaseModel):
tools: List of tools/resources limited for task execution.
"""
class Config:
arbitrary_types_allowed = True
__hash__ = object.__hash__ # type: ignore
used_tools: int = 0
tools_errors: int = 0
@@ -104,16 +108,12 @@ class Task(BaseModel):
default=None,
)
_telemetry: Telemetry
_execution_span: Span | None = None
_original_description: str | None = None
_original_expected_output: str | None = None
_thread: threading.Thread | None = None
_execution_time: float | None = None
def __init__(__pydantic_self__, **data):
config = data.pop("config", {})
super().__init__(**config, **data)
_telemetry: Telemetry = PrivateAttr(default_factory=Telemetry)
_execution_span: Optional[Span] = PrivateAttr(default=None)
_original_description: Optional[str] = PrivateAttr(default=None)
_original_expected_output: Optional[str] = PrivateAttr(default=None)
_thread: Optional[threading.Thread] = PrivateAttr(default=None)
_execution_time: Optional[float] = PrivateAttr(default=None)
@field_validator("id", mode="before")
@classmethod
@@ -137,12 +137,6 @@ class Task(BaseModel):
return value[1:]
return value
@model_validator(mode="after")
def set_private_attrs(self) -> "Task":
"""Set private attributes."""
self._telemetry = Telemetry()
return self
@model_validator(mode="after")
def set_attributes_based_on_config(self) -> "Task":
"""Set attributes based on the agent configuration."""
@@ -263,9 +257,7 @@ class Task(BaseModel):
content = (
json_output
if json_output
else pydantic_output.model_dump_json()
if pydantic_output
else result
else pydantic_output.model_dump_json() if pydantic_output else result
)
self._save_file(content)

View File

@@ -1,5 +1,5 @@
from langchain.tools import StructuredTool
from pydantic import BaseModel, ConfigDict, Field
from pydantic import BaseModel, Field
from crewai.agents.cache import CacheHandler
@@ -7,11 +7,10 @@ from crewai.agents.cache import CacheHandler
class CacheTools(BaseModel):
"""Default tools to hit the cache."""
model_config = ConfigDict(arbitrary_types_allowed=True)
name: str = "Hit Cache"
cache_handler: CacheHandler = Field(
description="Cache Handler for the crew",
default=CacheHandler(),
default_factory=CacheHandler,
)
def tool(self):

View File

@@ -1,13 +1,13 @@
from datetime import datetime
from pydantic import BaseModel, Field, PrivateAttr
from crewai.utilities.printer import Printer
class Logger:
_printer = Printer()
def __init__(self, verbose=False):
self.verbose = verbose
class Logger(BaseModel):
verbose: bool = Field(default=False)
_printer: Printer = PrivateAttr(default_factory=Printer)
def log(self, level, message, color="bold_green"):
if self.verbose:

View File

@@ -1,44 +1,50 @@
import threading
import time
from typing import Union
from typing import Optional
from pydantic import BaseModel, ConfigDict, Field, PrivateAttr, model_validator
from pydantic import BaseModel, Field, PrivateAttr, model_validator
from crewai.utilities.logger import Logger
class RPMController(BaseModel):
model_config = ConfigDict(arbitrary_types_allowed=True)
max_rpm: Union[int, None] = Field(default=None)
logger: Logger = Field(default=None)
max_rpm: Optional[int] = Field(default=None)
logger: Logger = Field(default_factory=lambda: Logger(verbose=False))
_current_rpm: int = PrivateAttr(default=0)
_timer: threading.Timer | None = PrivateAttr(default=None)
_lock: threading.Lock = PrivateAttr(default=None)
_shutdown_flag = False
_timer: Optional[threading.Timer] = PrivateAttr(default=None)
_lock: Optional[threading.Lock] = PrivateAttr(default=None)
_shutdown_flag: bool = PrivateAttr(default=False)
@model_validator(mode="after")
def reset_counter(self):
if self.max_rpm:
if self.max_rpm is not None:
if not self._shutdown_flag:
self._lock = threading.Lock()
self._reset_request_count()
return self
def check_or_wait(self):
if not self.max_rpm:
if self.max_rpm is None:
return True
with self._lock:
if self._current_rpm < self.max_rpm:
def _check_and_increment():
if self.max_rpm is not None and self._current_rpm < self.max_rpm:
self._current_rpm += 1
return True
else:
elif self.max_rpm is not None:
self.logger.log(
"info", "Max RPM reached, waiting for next minute to start."
)
self._wait_for_next_minute()
self._current_rpm = 1
return True
return True
if self._lock:
with self._lock:
return _check_and_increment()
else:
return _check_and_increment()
def stop_rpm_counter(self):
if self._timer:
@@ -50,10 +56,18 @@ class RPMController(BaseModel):
self._current_rpm = 0
def _reset_request_count(self):
with self._lock:
def _reset():
self._current_rpm = 0
if not self._shutdown_flag:
self._timer = threading.Timer(60.0, self._reset_request_count)
self._timer.start()
if self._lock:
with self._lock:
_reset()
else:
_reset()
if self._timer:
self._shutdown_flag = True
self._timer.cancel()
self._timer = threading.Timer(60.0, self._reset_request_count)
self._timer.start()