Spaces:
Runtime error
Runtime error
File size: 4,039 Bytes
129cd69 |
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 |
"""
**Agent** is a class that uses an LLM to choose a sequence of actions to take.
In Chains, a sequence of actions is hardcoded. In Agents,
a language model is used as a reasoning engine to determine which actions
to take and in which order.
Agents select and use **Tools** and **Toolkits** for actions.
**Class hierarchy:**
.. code-block::
BaseSingleActionAgent --> LLMSingleActionAgent
OpenAIFunctionsAgent
XMLAgent
Agent --> <name>Agent # Examples: ZeroShotAgent, ChatAgent
BaseMultiActionAgent --> OpenAIMultiFunctionsAgent
**Main helpers:**
.. code-block::
AgentType, AgentExecutor, AgentOutputParser, AgentExecutorIterator,
AgentAction, AgentFinish
""" # noqa: E501
from pathlib import Path
from typing import Any
from langchain_core._api.path import as_import_path
from langchain.agents.agent import (
Agent,
AgentExecutor,
AgentOutputParser,
BaseMultiActionAgent,
BaseSingleActionAgent,
LLMSingleActionAgent,
)
from langchain.agents.agent_iterator import AgentExecutorIterator
from langchain.agents.agent_toolkits import (
create_json_agent,
create_openapi_agent,
create_pbi_agent,
create_pbi_chat_agent,
create_spark_sql_agent,
create_sql_agent,
create_vectorstore_agent,
create_vectorstore_router_agent,
)
from langchain.agents.agent_types import AgentType
from langchain.agents.conversational.base import ConversationalAgent
from langchain.agents.conversational_chat.base import ConversationalChatAgent
from langchain.agents.initialize import initialize_agent
from langchain.agents.load_tools import (
get_all_tool_names,
load_huggingface_tool,
load_tools,
)
from langchain.agents.loading import load_agent
from langchain.agents.mrkl.base import MRKLChain, ZeroShotAgent
from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent
from langchain.agents.openai_functions_multi_agent.base import OpenAIMultiFunctionsAgent
from langchain.agents.react.base import ReActChain, ReActTextWorldAgent
from langchain.agents.self_ask_with_search.base import SelfAskWithSearchChain
from langchain.agents.structured_chat.base import StructuredChatAgent
from langchain.agents.tools import Tool, tool
from langchain.agents.xml.base import XMLAgent
DEPRECATED_CODE = [
"create_csv_agent",
"create_pandas_dataframe_agent",
"create_spark_dataframe_agent",
"create_xorbits_agent",
]
def __getattr__(name: str) -> Any:
"""Get attr name."""
if name in DEPRECATED_CODE:
relative_path = as_import_path(Path(__file__).parent, suffix=name)
old_path = "langchain." + relative_path
new_path = "langchain_experimental." + relative_path
raise ImportError(
f"{name} has been moved to langchain experimental. "
"See https://github.com/langchain-ai/langchain/discussions/11680"
"for more information.\n"
f"Please update your import statement from: `{old_path}` to `{new_path}`."
)
raise AttributeError(f"{name} does not exist")
__all__ = [
"Agent",
"AgentExecutor",
"AgentExecutorIterator",
"AgentOutputParser",
"AgentType",
"BaseMultiActionAgent",
"BaseSingleActionAgent",
"ConversationalAgent",
"ConversationalChatAgent",
"LLMSingleActionAgent",
"MRKLChain",
"OpenAIFunctionsAgent",
"OpenAIMultiFunctionsAgent",
"ReActChain",
"ReActTextWorldAgent",
"SelfAskWithSearchChain",
"StructuredChatAgent",
"Tool",
"ZeroShotAgent",
"create_json_agent",
"create_openapi_agent",
"create_pbi_agent",
"create_pbi_chat_agent",
"create_spark_sql_agent",
"create_sql_agent",
"create_vectorstore_agent",
"create_vectorstore_router_agent",
"get_all_tool_names",
"initialize_agent",
"load_agent",
"load_huggingface_tool",
"load_tools",
"tool",
"XMLAgent",
]
|