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base.py — langchain Source File

Architecture documentation for base.py, a python file in the langchain codebase. 17 imports, 0 dependents.

File python AgentOrchestration ActionLogic 17 imports 1 classes

Entity Profile

Dependency Diagram

graph LR
  356f1882_f802_ae8d_971b_9adf83ef86ea["base.py"]
  cfe2bde5_180e_e3b0_df2b_55b3ebaca8e7["collections.abc"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> cfe2bde5_180e_e3b0_df2b_55b3ebaca8e7
  8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3
  b19a8b7e_fbee_95b1_65b8_509a1ed3cad7["langchain_core._api"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> b19a8b7e_fbee_95b1_65b8_509a1ed3cad7
  80d582c5_7cc3_ac96_2742_3dbe1cbd4e2b["langchain_core.agents"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> 80d582c5_7cc3_ac96_2742_3dbe1cbd4e2b
  f3bc7443_c889_119d_0744_aacc3620d8d2["langchain_core.callbacks"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> f3bc7443_c889_119d_0744_aacc3620d8d2
  ba43b74d_3099_7e1c_aac3_cf594720469e["langchain_core.language_models"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> ba43b74d_3099_7e1c_aac3_cf594720469e
  e6b4f61e_7b98_6666_3641_26b069517d4a["langchain_core.prompts"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> e6b4f61e_7b98_6666_3641_26b069517d4a
  e45722a2_0136_a972_1f58_7b5987500404["langchain_core.prompts.chat"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> e45722a2_0136_a972_1f58_7b5987500404
  43d88577_548b_2248_b01b_7987bae85dcc["langchain_core.tools"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> 43d88577_548b_2248_b01b_7987bae85dcc
  6e58aaea_f08e_c099_3cc7_f9567bfb1ae7["pydantic"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> 6e58aaea_f08e_c099_3cc7_f9567bfb1ae7
  91721f45_4909_e489_8c1f_084f8bd87145["typing_extensions"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> 91721f45_4909_e489_8c1f_084f8bd87145
  0569002b_723c_e521_6645_d02d74dd6913["langchain_classic._api.deprecation"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> 0569002b_723c_e521_6645_d02d74dd6913
  e160f068_75de_4342_6673_9969b919de85["langchain_classic.agents.agent"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> e160f068_75de_4342_6673_9969b919de85
  877cb291_dfed_f8ac_1313_a40a0e86b931["langchain_classic.agents.chat.output_parser"]
  356f1882_f802_ae8d_971b_9adf83ef86ea --> 877cb291_dfed_f8ac_1313_a40a0e86b931
  style 356f1882_f802_ae8d_971b_9adf83ef86ea fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

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.prompts import BasePromptTemplate
from langchain_core.prompts.chat import (
    ChatPromptTemplate,
    HumanMessagePromptTemplate,
    SystemMessagePromptTemplate,
)
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.chat.output_parser import ChatOutputParser
from langchain_classic.agents.chat.prompt import (
    FORMAT_INSTRUCTIONS,
    HUMAN_MESSAGE,
    SYSTEM_MESSAGE_PREFIX,
    SYSTEM_MESSAGE_SUFFIX,
)
from langchain_classic.agents.utils import validate_tools_single_input
from langchain_classic.chains.llm import LLMChain


@deprecated(
    "0.1.0",
    message=AGENT_DEPRECATION_WARNING,
    removal="1.0",
)
class ChatAgent(Agent):
    """Chat Agent."""

    output_parser: AgentOutputParser = Field(default_factory=ChatOutputParser)
    """Output parser for the agent."""

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

    @property
    def llm_prefix(self) -> str:
        """Prefix to append the llm call with."""
        return "Thought:"

    def _construct_scratchpad(
        self,
        intermediate_steps: list[tuple[AgentAction, str]],
    ) -> str:
        agent_scratchpad = super()._construct_scratchpad(intermediate_steps)
        if not isinstance(agent_scratchpad, str):
            msg = "agent_scratchpad should be of type string."
            raise ValueError(msg)  # noqa: TRY004
        if agent_scratchpad:
// ... (119 more lines)

Domain

Subdomains

Classes

Dependencies

  • collections.abc
  • langchain_classic._api.deprecation
  • langchain_classic.agents.agent
  • langchain_classic.agents.chat.output_parser
  • langchain_classic.agents.chat.prompt
  • langchain_classic.agents.utils
  • langchain_classic.chains.llm
  • langchain_core._api
  • langchain_core.agents
  • langchain_core.callbacks
  • langchain_core.language_models
  • 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, ActionLogic subdomain.
What does base.py depend on?
base.py imports 17 module(s): collections.abc, langchain_classic._api.deprecation, langchain_classic.agents.agent, langchain_classic.agents.chat.output_parser, langchain_classic.agents.chat.prompt, langchain_classic.agents.utils, langchain_classic.chains.llm, langchain_core._api, and 9 more.
Where is base.py in the architecture?
base.py is located at libs/langchain/langchain_classic/agents/chat/base.py (domain: AgentOrchestration, subdomain: ActionLogic, directory: libs/langchain/langchain_classic/agents/chat).

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