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base.py — langchain Source File

Architecture documentation for base.py, a python file in the langchain codebase. 18 imports, 0 dependents.

File python AgentOrchestration ClassicChains 18 imports 1 classes

Entity Profile

Dependency Diagram

graph LR
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c["base.py"]
  2bf6d401_816d_d011_3b05_a6114f55ff58["collections.abc"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 2bf6d401_816d_d011_3b05_a6114f55ff58
  feec1ec4_6917_867b_d228_b134d0ff8099["typing"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> feec1ec4_6917_867b_d228_b134d0ff8099
  2485b66a_3839_d0b6_ad9c_a4ff40457dc6["langchain_core._api"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 2485b66a_3839_d0b6_ad9c_a4ff40457dc6
  59e0d3b0_0f8e_4b79_d442_e9b4821561c7["langchain_core.agents"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 59e0d3b0_0f8e_4b79_d442_e9b4821561c7
  17a62cb3_fefd_6320_b757_b53bb4a1c661["langchain_core.callbacks"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 17a62cb3_fefd_6320_b757_b53bb4a1c661
  e929cf21_6ab8_6ff3_3765_0d35a099a053["langchain_core.language_models"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> e929cf21_6ab8_6ff3_3765_0d35a099a053
  9444498b_8066_55c7_b3a2_1d90c4162a32["langchain_core.messages"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 9444498b_8066_55c7_b3a2_1d90c4162a32
  628cbc5d_711f_ac0c_2f53_db992d48d7da["langchain_core.output_parsers"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 628cbc5d_711f_ac0c_2f53_db992d48d7da
  435e49bf_bb2e_2016_ead7_0afb9d57ad71["langchain_core.prompts"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 435e49bf_bb2e_2016_ead7_0afb9d57ad71
  16c7d167_e2e4_cd42_2bc2_d182459cd93c["langchain_core.prompts.chat"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 16c7d167_e2e4_cd42_2bc2_d182459cd93c
  121262a1_0bd6_d637_bce3_307ab6b3ecd4["langchain_core.tools"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 121262a1_0bd6_d637_bce3_307ab6b3ecd4
  dd5e7909_a646_84f1_497b_cae69735550e["pydantic"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> dd5e7909_a646_84f1_497b_cae69735550e
  f85fae70_1011_eaec_151c_4083140ae9e5["typing_extensions"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> f85fae70_1011_eaec_151c_4083140ae9e5
  496466eb_d5c8_fece_1b1f_31541c641cdd["langchain_classic.agents.agent"]
  a0ff81a8_e37a_d580_01bb_53c8d86e1d8c --> 496466eb_d5c8_fece_1b1f_31541c641cdd
  style a0ff81a8_e37a_d580_01bb_53c8d86e1d8c 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.agents import AgentAction
from langchain_core.callbacks import BaseCallbackManager
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.output_parsers import BaseOutputParser
from langchain_core.prompts import BasePromptTemplate
from langchain_core.prompts.chat import (
    ChatPromptTemplate,
    HumanMessagePromptTemplate,
    MessagesPlaceholder,
    SystemMessagePromptTemplate,
)
from langchain_core.tools import BaseTool
from pydantic import Field
from typing_extensions import override

from langchain_classic.agents.agent import Agent, AgentOutputParser
from langchain_classic.agents.conversational_chat.output_parser import ConvoOutputParser
from langchain_classic.agents.conversational_chat.prompt import (
    PREFIX,
    SUFFIX,
    TEMPLATE_TOOL_RESPONSE,
)
from langchain_classic.agents.utils import validate_tools_single_input
from langchain_classic.chains import LLMChain


@deprecated("0.1.0", alternative="create_json_chat_agent", removal="1.0")
class ConversationalChatAgent(Agent):
    """An agent designed to hold a conversation in addition to using tools."""

    output_parser: AgentOutputParser = Field(default_factory=ConvoOutputParser)
    """Output parser for the agent."""
    template_tool_response: str = TEMPLATE_TOOL_RESPONSE
    """Template for the tool response."""

    @classmethod
    @override
    def _get_default_output_parser(cls, **kwargs: Any) -> AgentOutputParser:
        return ConvoOutputParser()

    @property
    def _agent_type(self) -> str:
        raise NotImplementedError

    @property
    def observation_prefix(self) -> str:
        """Prefix to append the observation with.

        Returns:
            "Observation: "
        """
// ... (122 more lines)

Domain

Subdomains

Classes

Dependencies

  • collections.abc
  • langchain_classic.agents.agent
  • langchain_classic.agents.conversational_chat.output_parser
  • langchain_classic.agents.conversational_chat.prompt
  • langchain_classic.agents.utils
  • langchain_classic.chains
  • langchain_core._api
  • langchain_core.agents
  • langchain_core.callbacks
  • langchain_core.language_models
  • langchain_core.messages
  • langchain_core.output_parsers
  • langchain_core.prompts
  • langchain_core.prompts.chat
  • 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, ClassicChains subdomain.
What does base.py depend on?
base.py imports 18 module(s): collections.abc, langchain_classic.agents.agent, langchain_classic.agents.conversational_chat.output_parser, langchain_classic.agents.conversational_chat.prompt, langchain_classic.agents.utils, langchain_classic.chains, langchain_core._api, langchain_core.agents, and 10 more.
Where is base.py in the architecture?
base.py is located at libs/langchain/langchain_classic/agents/conversational_chat/base.py (domain: AgentOrchestration, subdomain: ClassicChains, directory: libs/langchain/langchain_classic/agents/conversational_chat).

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