base.py — langchain Source File
Architecture documentation for base.py, a python file in the langchain codebase. 16 imports, 0 dependents.
Entity Profile
Dependency Diagram
graph LR eb3ddad0_deac_37dd_acc3_37596da18b91["base.py"] cfe2bde5_180e_e3b0_df2b_55b3ebaca8e7["collections.abc"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> cfe2bde5_180e_e3b0_df2b_55b3ebaca8e7 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3 b19a8b7e_fbee_95b1_65b8_509a1ed3cad7["langchain_core._api"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> b19a8b7e_fbee_95b1_65b8_509a1ed3cad7 f3bc7443_c889_119d_0744_aacc3620d8d2["langchain_core.callbacks"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> f3bc7443_c889_119d_0744_aacc3620d8d2 ba43b74d_3099_7e1c_aac3_cf594720469e["langchain_core.language_models"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> ba43b74d_3099_7e1c_aac3_cf594720469e e6b4f61e_7b98_6666_3641_26b069517d4a["langchain_core.prompts"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> e6b4f61e_7b98_6666_3641_26b069517d4a 43d88577_548b_2248_b01b_7987bae85dcc["langchain_core.tools"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> 43d88577_548b_2248_b01b_7987bae85dcc 6e58aaea_f08e_c099_3cc7_f9567bfb1ae7["pydantic"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> 6e58aaea_f08e_c099_3cc7_f9567bfb1ae7 91721f45_4909_e489_8c1f_084f8bd87145["typing_extensions"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> 91721f45_4909_e489_8c1f_084f8bd87145 0569002b_723c_e521_6645_d02d74dd6913["langchain_classic._api.deprecation"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> 0569002b_723c_e521_6645_d02d74dd6913 e160f068_75de_4342_6673_9969b919de85["langchain_classic.agents.agent"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> e160f068_75de_4342_6673_9969b919de85 8bc2eee7_b040_0edd_0172_48295cb3fb89["langchain_classic.agents.agent_types"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> 8bc2eee7_b040_0edd_0172_48295cb3fb89 38407f22_8bf0_e5e0_d4a3_737768ae0b76["langchain_classic.agents.conversational.output_parser"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> 38407f22_8bf0_e5e0_d4a3_737768ae0b76 08b9d246_36f3_9e50_1e87_83eccdb017c3["langchain_classic.agents.conversational.prompt"] eb3ddad0_deac_37dd_acc3_37596da18b91 --> 08b9d246_36f3_9e50_1e87_83eccdb017c3 style eb3ddad0_deac_37dd_acc3_37596da18b91 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
"""An agent designed to hold a conversation in addition to using tools."""
from __future__ import annotations
from collections.abc import Sequence
from typing import Any
from langchain_core._api import deprecated
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import PromptTemplate
from langchain_core.tools import BaseTool
from pydantic import Field
from typing_extensions import override
from langchain_classic._api.deprecation import AGENT_DEPRECATION_WARNING
from langchain_classic.agents.agent import Agent, AgentOutputParser
from langchain_classic.agents.agent_types import AgentType
from langchain_classic.agents.conversational.output_parser import ConvoOutputParser
from langchain_classic.agents.conversational.prompt import (
FORMAT_INSTRUCTIONS,
PREFIX,
SUFFIX,
)
from langchain_classic.agents.utils import validate_tools_single_input
from langchain_classic.chains import LLMChain
@deprecated(
"0.1.0",
message=AGENT_DEPRECATION_WARNING,
removal="1.0",
)
class ConversationalAgent(Agent):
"""An agent that holds a conversation in addition to using tools."""
ai_prefix: str = "AI"
"""Prefix to use before AI output."""
output_parser: AgentOutputParser = Field(default_factory=ConvoOutputParser)
"""Output parser for the agent."""
@classmethod
@override
def _get_default_output_parser(
cls,
ai_prefix: str = "AI",
**kwargs: Any,
) -> AgentOutputParser:
return ConvoOutputParser(ai_prefix=ai_prefix)
@property
def _agent_type(self) -> str:
"""Return Identifier of agent type."""
return AgentType.CONVERSATIONAL_REACT_DESCRIPTION
@property
def observation_prefix(self) -> str:
"""Prefix to append the observation with.
Returns:
// ... (119 more lines)
Domain
Subdomains
Classes
Dependencies
- collections.abc
- langchain_classic._api.deprecation
- langchain_classic.agents.agent
- langchain_classic.agents.agent_types
- langchain_classic.agents.conversational.output_parser
- langchain_classic.agents.conversational.prompt
- langchain_classic.agents.utils
- langchain_classic.chains
- langchain_core._api
- langchain_core.callbacks
- langchain_core.language_models
- langchain_core.prompts
- langchain_core.tools
- pydantic
- typing
- typing_extensions
Source
Frequently Asked Questions
What does base.py do?
base.py is a source file in the langchain codebase, written in python. It belongs to the AgentOrchestration domain, ActionLogic subdomain.
What does base.py depend on?
base.py imports 16 module(s): collections.abc, langchain_classic._api.deprecation, langchain_classic.agents.agent, langchain_classic.agents.agent_types, langchain_classic.agents.conversational.output_parser, langchain_classic.agents.conversational.prompt, langchain_classic.agents.utils, langchain_classic.chains, and 8 more.
Where is base.py in the architecture?
base.py is located at libs/langchain/langchain_classic/agents/conversational/base.py (domain: AgentOrchestration, subdomain: ActionLogic, directory: libs/langchain/langchain_classic/agents/conversational).
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