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_utils.py — langchain Source File

Architecture documentation for _utils.py, a python file in the langchain codebase. 3 imports, 0 dependents.

File python LangChainCore ApiManagement 3 imports 3 classes

Entity Profile

Dependency Diagram

graph LR
  30343711_5521_a7f5_4f30_8070ee088ac6["_utils.py"]
  feec1ec4_6917_867b_d228_b134d0ff8099["typing"]
  30343711_5521_a7f5_4f30_8070ee088ac6 --> feec1ec4_6917_867b_d228_b134d0ff8099
  17a62cb3_fefd_6320_b757_b53bb4a1c661["langchain_core.callbacks"]
  30343711_5521_a7f5_4f30_8070ee088ac6 --> 17a62cb3_fefd_6320_b757_b53bb4a1c661
  dd5e7909_a646_84f1_497b_cae69735550e["pydantic"]
  30343711_5521_a7f5_4f30_8070ee088ac6 --> dd5e7909_a646_84f1_497b_cae69735550e
  style 30343711_5521_a7f5_4f30_8070ee088ac6 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

"""A fake callback handler for testing purposes."""

from __future__ import annotations

from typing import Any

from langchain_core.callbacks import BaseCallbackHandler
from pydantic import BaseModel


class BaseFakeCallbackHandler(BaseModel):
    """Base fake callback handler for testing."""

    starts: int = 0
    ends: int = 0
    errors: int = 0
    text: int = 0
    ignore_llm_: bool = False
    ignore_chain_: bool = False
    ignore_agent_: bool = False
    ignore_retriever_: bool = False
    ignore_chat_model_: bool = False

    # to allow for similar callback handlers that are not technically equal
    fake_id: str | None = None

    # add finer-grained counters for easier debugging of failing tests
    chain_starts: int = 0
    chain_ends: int = 0
    llm_starts: int = 0
    llm_ends: int = 0
    llm_streams: int = 0
    tool_starts: int = 0
    tool_ends: int = 0
    agent_actions: int = 0
    agent_ends: int = 0
    chat_model_starts: int = 0
    retriever_starts: int = 0
    retriever_ends: int = 0
    retriever_errors: int = 0
    retries: int = 0


class BaseFakeCallbackHandlerMixin(BaseFakeCallbackHandler):
    """Base fake callback handler mixin for testing."""

    def on_llm_start_common(self) -> None:
        self.llm_starts += 1
        self.starts += 1

    def on_llm_end_common(self) -> None:
        self.llm_ends += 1
        self.ends += 1

    def on_llm_error_common(self) -> None:
        self.errors += 1

    def on_llm_new_token_common(self) -> None:
        self.llm_streams += 1

// ... (199 more lines)

Domain

Subdomains

Dependencies

  • langchain_core.callbacks
  • pydantic
  • typing

Frequently Asked Questions

What does _utils.py do?
_utils.py is a source file in the langchain codebase, written in python. It belongs to the LangChainCore domain, ApiManagement subdomain.
What does _utils.py depend on?
_utils.py imports 3 module(s): langchain_core.callbacks, pydantic, typing.
Where is _utils.py in the architecture?
_utils.py is located at libs/partners/anthropic/tests/unit_tests/_utils.py (domain: LangChainCore, subdomain: ApiManagement, directory: libs/partners/anthropic/tests/unit_tests).

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