Spaces:
Running
Running
File size: 7,905 Bytes
f0f6e5c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 |
import json
import logging
from abc import ABC, abstractmethod
from contextlib import AsyncExitStack
from functools import cached_property
from typing import Any, Optional, Type, cast
from pydantic import BaseModel, Field
from tenacity import before_sleep_log, retry, stop_after_attempt, wait_exponential
from proxy_lite.client import BaseClient, ClientConfigTypes, OpenAIClientConfig
from proxy_lite.history import (
AssistantMessage,
MessageHistory,
MessageLabel,
SystemMessage,
Text,
ToolCall,
ToolMessage,
UserMessage,
)
from proxy_lite.logger import logger
from proxy_lite.tools import Tool
# if TYPE_CHECKING:
# from proxy_lite.tools import Tool
class BaseAgentConfig(BaseModel):
client: ClientConfigTypes = Field(default_factory=OpenAIClientConfig)
history_messages_limit: dict[MessageLabel, int] = Field(default_factory=lambda: dict())
history_messages_include: Optional[dict[MessageLabel, int]] = Field(
default=None,
description="If set, overrides history_messages_limit by setting all message types to 0 except those specified",
)
def model_post_init(self, __context: Any) -> None:
if self.history_messages_include is not None:
self.history_messages_limit = {label: 0 for label in MessageLabel}
self.history_messages_limit.update(self.history_messages_include)
class BaseAgent(BaseModel, ABC):
config: BaseAgentConfig
temperature: float = Field(default=0.7, ge=0, le=2)
history: MessageHistory = Field(default_factory=MessageHistory)
client: Optional[BaseClient] = None
env_tools: list[Tool] = Field(default_factory=list)
task: Optional[str] = Field(default=None)
seed: Optional[int] = Field(default=None)
class Config:
arbitrary_types_allowed = True
def __init__(self, **data) -> None:
super().__init__(**data)
self._exit_stack = AsyncExitStack()
self._tools_init_task = None
def model_post_init(self, __context: Any) -> None:
super().model_post_init(__context)
self.client = BaseClient.create(self.config.client)
@property
@abstractmethod
def system_prompt(self) -> str: ...
@cached_property
@abstractmethod
def tools(self) -> list[Tool]: ...
@cached_property
def tool_descriptions(self) -> str:
tool_descriptions = []
for tool in self.tools:
func_descriptions = "\n".join("- {name}: {description}".format(**schema) for schema in tool.schema)
tool_title = f"{tool.__class__.__name__}:\n" if len(self.tools) > 1 else ""
tool_descriptions.append(f"{tool_title}{func_descriptions}")
return "\n\n".join(tool_descriptions)
async def get_history_view(self) -> MessageHistory:
return MessageHistory(
messages=[SystemMessage(content=[Text(text=self.system_prompt)])],
) + self.history.history_view(
limits=self.config.history_messages_limit,
)
@retry(
wait=wait_exponential(multiplier=1, min=4, max=10),
stop=stop_after_attempt(3),
reraise=True,
before_sleep=before_sleep_log(logger, logging.ERROR),
)
async def generate_output(
self,
use_tool: bool = False,
response_format: Optional[type[BaseModel]] = None,
append_assistant_message: bool = True,
) -> AssistantMessage:
messages: MessageHistory = await self.get_history_view()
response_content = (
await self.client.create_completion(
messages=messages,
temperature=self.temperature,
seed=self.seed,
response_format=response_format,
tools=self.tools if use_tool else None,
)
).model_dump()
response_content = response_content["choices"][0]["message"]
assistant_message = AssistantMessage(
role=response_content["role"],
content=[Text(text=response_content["content"])] if response_content["content"] else [],
tool_calls=response_content["tool_calls"],
)
if append_assistant_message:
self.history.append(message=assistant_message, label=self.message_label)
return assistant_message
def receive_user_message(
self,
text: Optional[str] = None,
image: list[bytes] = None,
label: MessageLabel = None,
is_base64: bool = False,
) -> None:
message = UserMessage.from_media(
text=text,
image=image,
is_base64=is_base64,
)
self.history.append(message=message, label=label)
def receive_system_message(
self,
text: Optional[str] = None,
label: MessageLabel = None,
) -> None:
message = SystemMessage.from_media(text=text)
self.history.append(message=message, label=label)
def receive_assistant_message(
self,
content: Optional[str] = None,
tool_calls: Optional[list[ToolCall]] = None,
label: MessageLabel = None,
) -> None:
message = AssistantMessage(
content=[Text(text=content)] if content else [],
tool_calls=tool_calls,
)
self.history.append(message=message, label=label)
async def use_tool(self, tool_call: ToolCall):
function = tool_call.function
for tool in self.tools:
if hasattr(tool, function["name"]):
return await getattr(tool, function["name"])(
**json.loads(function["arguments"]),
)
msg = f'No tool function with name "{function["name"]}"'
raise ValueError(msg)
async def receive_tool_message(
self,
text: str,
tool_id: str,
label: MessageLabel = None,
) -> None:
self.history.append(
message=ToolMessage(content=[Text(text=text)], tool_call_id=tool_id),
label=label,
)
class Agents:
_agent_registry: dict[str, type[BaseAgent]] = {}
_agent_config_registry: dict[str, type[BaseAgentConfig]] = {}
@classmethod
def register_agent(cls, name: str):
"""
Decorator to register an Agent class under a given name.
Example:
@Agents.register_agent("browser")
class BrowserAgent(BaseAgent):
...
"""
def decorator(agent_cls: type[BaseAgent]) -> type[BaseAgent]:
cls._agent_registry[name] = agent_cls
return agent_cls
return decorator
@classmethod
def register_agent_config(cls, name: str):
"""
Decorator to register a configuration class under a given name.
Example:
@Agents.register_agent_config("browser")
class BrowserAgentConfig(BaseAgentConfig):
...
"""
def decorator(config_cls: type[BaseAgentConfig]) -> type[BaseAgentConfig]:
cls._agent_config_registry[name] = config_cls
return config_cls
return decorator
@classmethod
def get(cls, name: str) -> type[BaseAgent]:
"""
Retrieve a registered Agent class by its name.
Raises:
ValueError: If no such agent is found.
"""
try:
return cast(Type[BaseAgent], cls._agent_registry[name])
except KeyError:
raise ValueError(f"Agent '{name}' not found.")
@classmethod
def get_config(cls, name: str) -> type[BaseAgentConfig]:
"""
Retrieve a registered Agent configuration class by its name.
Raises:
ValueError: If no such config is found.
"""
try:
return cast(type[BaseAgentConfig], cls._agent_config_registry[name])
except KeyError:
raise ValueError(f"Agent config for '{name}' not found.")
|