repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_overrides.py | libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_overrides.py | """Unit tests for override() methods on ModelRequest and ToolCallRequest."""
from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
from langchain_core.messages import AIMessage, HumanMessage
from langchain_core.tools import tool
from langchain.agents.middleware.types import ModelRequest, To... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_composition.py | libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_composition.py | """Unit tests for _chain_model_call_handlers handler composition."""
from typing import TYPE_CHECKING, cast
from langchain_core.messages import AIMessage
from langchain.agents.factory import _chain_model_call_handlers
from langchain.agents.middleware.types import ModelRequest, ModelResponse
if TYPE_CHECKING:
fr... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call.py | libs/langchain_v1/tests/unit_tests/agents/middleware/core/test_wrap_model_call.py | """Unit tests for wrap_model_call hook and @wrap_model_call decorator.
This module tests the wrap_model_call functionality in three forms:
1. As a middleware method (AgentMiddleware.wrap_model_call)
2. As a decorator (@wrap_model_call)
3. Async variant (AgentMiddleware.awrap_model_call)
"""
from collections.abc impor... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_call_limit.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_call_limit.py | import pytest
from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
from langchain_core.tools import tool
from langgraph.checkpoint.memory import InMemorySaver
from langchain.agents.factory import create_agent
from langchain.agents.middleware.model_call_limit import (
ModelCallLimitExceededError... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_fallback.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_fallback.py | """Unit tests for ModelFallbackMiddleware."""
from __future__ import annotations
import warnings
from typing import TYPE_CHECKING, cast
import pytest
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
from langchain_co... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_selection.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_selection.py | """Unit tests for LLM tool selection middleware."""
import typing
from itertools import cycle
from typing import Any, Literal
import pytest
from langchain_core.language_models import LanguageModelInput
from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
from langchain_core.messages import... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_structured_output_retry.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_structured_output_retry.py | """Tests for StructuredOutputRetryMiddleware functionality."""
from collections.abc import Callable
import pytest
from langchain_core.messages import HumanMessage
from langchain_core.tools import tool
from langgraph.checkpoint.memory import InMemorySaver
from pydantic import BaseModel
from langchain.agents import cr... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_context_editing.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_context_editing.py | """Tests for the ContextEditingMiddleware."""
from __future__ import annotations
from typing import TYPE_CHECKING, cast
from langchain_core.language_models.fake_chat_models import FakeChatModel
from langchain_core.messages import (
AIMessage,
MessageLikeRepresentation,
ToolMessage,
)
from langchain.agen... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_todo.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_todo.py | """Unit tests for TodoListMiddleware."""
from __future__ import annotations
from typing import TYPE_CHECKING, cast
import pytest
from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
from langchain_core.messages import AIMessage, HumanMessage
from langchain.agents.factory import create_ag... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_human_in_the_loop.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_human_in_the_loop.py | import re
from typing import Any
from unittest.mock import patch
import pytest
from langchain_core.messages import AIMessage, HumanMessage, ToolCall, ToolMessage
from langgraph.runtime import Runtime
from langchain.agents.middleware.human_in_the_loop import (
Action,
HumanInTheLoopMiddleware,
)
from langchain... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_retry.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_model_retry.py | """Tests for ModelRetryMiddleware functionality."""
import time
from typing import Any
import pytest
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from langchain_core.outputs import ChatGeneration, ChatResult
from langgraph.check... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_shell_execution_policies.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_shell_execution_policies.py | from __future__ import annotations
import os
import shutil
from typing import TYPE_CHECKING, Any
import pytest
from langchain.agents.middleware import _execution
from langchain.agents.middleware.shell_tool import (
CodexSandboxExecutionPolicy,
DockerExecutionPolicy,
HostExecutionPolicy,
)
if TYPE_CHECKI... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_file_search.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_file_search.py | """Unit tests for file search middleware."""
from pathlib import Path
from typing import Any
import pytest
from langchain.agents.middleware.file_search import (
FilesystemFileSearchMiddleware,
_expand_include_patterns,
_is_valid_include_pattern,
_match_include_pattern,
)
class TestFilesystemGrepSea... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_emulator.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_emulator.py | """Unit tests for tool emulator middleware."""
import typing
from collections.abc import Callable, Sequence
from itertools import cycle
from typing import Any, Literal
from langchain_core.language_models import LanguageModelInput
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/__init__.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_pii.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_pii.py | """Tests for PII detection middleware."""
import pytest
from langchain_core.messages import AIMessage, HumanMessage, ToolCall, ToolMessage
from langchain.agents.factory import create_agent
from langchain.agents.middleware.pii import (
PIIDetectionError,
PIIMiddleware,
detect_credit_card,
detect_email,... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_retry.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_retry.py | """Tests for ToolRetryMiddleware functionality."""
import time
from collections.abc import Callable
import pytest
from langchain_core.messages import HumanMessage, ToolCall, ToolMessage
from langchain_core.tools import tool
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.prebuilt.tool_node import... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py | from unittest.mock import patch
import pytest
from langchain_core.language_models import ModelProfile
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, RemoveMessage, ToolMessage
from langchain_core.outputs import ChatGeneratio... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_shell_tool.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_shell_tool.py | from __future__ import annotations
import asyncio
import gc
import tempfile
import time
from pathlib import Path
from typing import TYPE_CHECKING
import pytest
from langchain_core.messages import ToolMessage
from langchain_core.tools.base import ToolException
from langchain.agents.middleware.shell_tool import (
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_call_limit.py | libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_call_limit.py | """Unit tests for ToolCallLimitMiddleware."""
import pytest
from langchain_core.messages import AIMessage, HumanMessage, ToolCall, ToolMessage
from langchain_core.tools import tool
from langgraph.checkpoint.memory import InMemorySaver
from langchain.agents.factory import create_agent
from langchain.agents.middleware.... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/embeddings/test_base.py | libs/langchain_v1/tests/unit_tests/embeddings/test_base.py | """Test embeddings base module."""
import pytest
from langchain.embeddings.base import (
_SUPPORTED_PROVIDERS,
_infer_model_and_provider,
_parse_model_string,
)
@pytest.mark.parametrize(
("model_string", "expected_provider", "expected_model"),
[
("openai:text-embedding-3-small", "openai"... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/embeddings/__init__.py | libs/langchain_v1/tests/unit_tests/embeddings/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/unit_tests/embeddings/test_imports.py | libs/langchain_v1/tests/unit_tests/embeddings/test_imports.py | from langchain import embeddings
EXPECTED_ALL = [
"Embeddings",
"init_embeddings",
]
def test_all_imports() -> None:
assert set(embeddings.__all__) == set(EXPECTED_ALL)
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/conftest.py | libs/langchain_v1/tests/integration_tests/conftest.py | from pathlib import Path
import pytest
from dotenv import load_dotenv
# Getting the absolute path of the current file's directory
ABS_PATH = Path(__file__).resolve().parent
# Getting the absolute path of the project's root directory
PROJECT_DIR = ABS_PATH.parent.parent
# Loading the .env file if it exists
def _loa... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/test_compile.py | libs/langchain_v1/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/__init__.py | libs/langchain_v1/tests/integration_tests/__init__.py | """All integration tests (tests that call out to an external API)."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/chat_models/test_base.py | libs/langchain_v1/tests/integration_tests/chat_models/test_base.py | from typing import cast
import pytest
from langchain_core.language_models import BaseChatModel
from langchain_core.messages import AIMessage
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnableConfig
from langchain_tests.integration_tests import ChatModelIntegrationTests
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/chat_models/__init__.py | libs/langchain_v1/tests/integration_tests/chat_models/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/cache/fake_embeddings.py | libs/langchain_v1/tests/integration_tests/cache/fake_embeddings.py | """Fake Embedding class for testing purposes."""
import math
from langchain_core.embeddings import Embeddings
from typing_extensions import override
fake_texts = ["foo", "bar", "baz"]
class FakeEmbeddings(Embeddings):
"""Fake embeddings functionality for testing."""
@override
def embed_documents(self,... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/cache/__init__.py | libs/langchain_v1/tests/integration_tests/cache/__init__.py | """All integration tests for Cache objects."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/agents/__init__.py | libs/langchain_v1/tests/integration_tests/agents/__init__.py | """Integration tests for the agents module."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/agents/middleware/__init__.py | libs/langchain_v1/tests/integration_tests/agents/middleware/__init__.py | """Integration tests for agent middleware."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/agents/middleware/test_shell_tool_integration.py | libs/langchain_v1/tests/integration_tests/agents/middleware/test_shell_tool_integration.py | """Integration tests for ShellToolMiddleware with create_agent."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any
import pytest
from langchain_core.messages import HumanMessage
from langchain_core.tools import tool
from langchain.agents import create_agent
from langchain.agents.middleware.... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/embeddings/test_base.py | libs/langchain_v1/tests/integration_tests/embeddings/test_base.py | """Test embeddings base module."""
import importlib
import pytest
from langchain_core.embeddings import Embeddings
from langchain.embeddings.base import _SUPPORTED_PROVIDERS, init_embeddings
@pytest.mark.parametrize(
("provider", "model"),
[
("openai", "text-embedding-3-large"),
("google_ve... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/tests/integration_tests/embeddings/__init__.py | libs/langchain_v1/tests/integration_tests/embeddings/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/__init__.py | libs/langchain_v1/langchain/__init__.py | """Main entrypoint into LangChain."""
__version__ = "1.2.0"
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/tools/tool_node.py | libs/langchain_v1/langchain/tools/tool_node.py | """Utils file included for backwards compat imports."""
from langgraph.prebuilt import InjectedState, InjectedStore, ToolRuntime
from langgraph.prebuilt.tool_node import (
ToolCallRequest,
ToolCallWithContext,
ToolCallWrapper,
)
from langgraph.prebuilt.tool_node import (
ToolNode as _ToolNode, # noqa:... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/tools/__init__.py | libs/langchain_v1/langchain/tools/__init__.py | """Tools."""
from langchain_core.tools import (
BaseTool,
InjectedToolArg,
InjectedToolCallId,
ToolException,
tool,
)
from langchain.tools.tool_node import InjectedState, InjectedStore, ToolRuntime
__all__ = [
"BaseTool",
"InjectedState",
"InjectedStore",
"InjectedToolArg",
"I... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/chat_models/__init__.py | libs/langchain_v1/langchain/chat_models/__init__.py | """Entrypoint to using [chat models](https://docs.langchain.com/oss/python/langchain/models) in LangChain.""" # noqa: E501
from langchain_core.language_models import BaseChatModel
from langchain.chat_models.base import init_chat_model
__all__ = ["BaseChatModel", "init_chat_model"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/chat_models/base.py | libs/langchain_v1/langchain/chat_models/base.py | """Factory functions for chat models."""
from __future__ import annotations
import functools
import importlib
import warnings
from typing import (
TYPE_CHECKING,
Any,
Literal,
TypeAlias,
cast,
overload,
)
from langchain_core.language_models import BaseChatModel, LanguageModelInput
from langch... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/factory.py | libs/langchain_v1/langchain/agents/factory.py | """Agent factory for creating agents with middleware support."""
from __future__ import annotations
import itertools
from typing import (
TYPE_CHECKING,
Annotated,
Any,
cast,
get_args,
get_origin,
get_type_hints,
)
from langchain_core.language_models.chat_models import BaseChatModel
from ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/__init__.py | libs/langchain_v1/langchain/agents/__init__.py | """Entrypoint to building [Agents](https://docs.langchain.com/oss/python/langchain/agents) with LangChain.""" # noqa: E501
from langchain.agents.factory import create_agent
from langchain.agents.middleware.types import AgentState
__all__ = [
"AgentState",
"create_agent",
]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/structured_output.py | libs/langchain_v1/langchain/agents/structured_output.py | """Types for setting agent response formats."""
from __future__ import annotations
import json
import uuid
from dataclasses import dataclass, is_dataclass
from types import UnionType
from typing import (
TYPE_CHECKING,
Any,
Generic,
Literal,
TypeVar,
Union,
get_args,
get_origin,
)
fro... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/human_in_the_loop.py | libs/langchain_v1/langchain/agents/middleware/human_in_the_loop.py | """Human in the loop middleware."""
from typing import Any, Literal, Protocol
from langchain_core.messages import AIMessage, ToolCall, ToolMessage
from langgraph.runtime import Runtime
from langgraph.types import interrupt
from typing_extensions import NotRequired, TypedDict
from langchain.agents.middleware.types im... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/_retry.py | libs/langchain_v1/langchain/agents/middleware/_retry.py | """Shared retry utilities for agent middleware.
This module contains common constants, utilities, and logic used by both
model and tool retry middleware implementations.
"""
from __future__ import annotations
import random
from collections.abc import Callable
from typing import Literal
# Type aliases
RetryOn = tupl... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/shell_tool.py | libs/langchain_v1/langchain/agents/middleware/shell_tool.py | """Middleware that exposes a persistent shell tool to agents."""
from __future__ import annotations
import contextlib
import logging
import os
import queue
import signal
import subprocess
import tempfile
import threading
import time
import uuid
import weakref
from dataclasses import dataclass, field
from pathlib impo... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/todo.py | libs/langchain_v1/langchain/agents/middleware/todo.py | """Planning and task management middleware for agents."""
from __future__ import annotations
from typing import TYPE_CHECKING, Annotated, Literal, cast
if TYPE_CHECKING:
from collections.abc import Awaitable, Callable
from langchain_core.messages import SystemMessage, ToolMessage
from langchain_core.tools impor... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/file_search.py | libs/langchain_v1/langchain/agents/middleware/file_search.py | """File search middleware for Anthropic text editor and memory tools.
This module provides Glob and Grep search tools that operate on files stored
in state or filesystem.
"""
from __future__ import annotations
import fnmatch
import json
import re
import subprocess
from contextlib import suppress
from datetime import... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/model_fallback.py | libs/langchain_v1/langchain/agents/middleware/model_fallback.py | """Model fallback middleware for agents."""
from __future__ import annotations
from typing import TYPE_CHECKING
from langchain.agents.middleware.types import (
AgentMiddleware,
ModelCallResult,
ModelRequest,
ModelResponse,
)
from langchain.chat_models import init_chat_model
if TYPE_CHECKING:
fro... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/tool_retry.py | libs/langchain_v1/langchain/agents/middleware/tool_retry.py | """Tool retry middleware for agents."""
from __future__ import annotations
import asyncio
import time
import warnings
from typing import TYPE_CHECKING
from langchain_core.messages import ToolMessage
from langchain.agents.middleware._retry import (
OnFailure,
RetryOn,
calculate_delay,
should_retry_ex... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/_execution.py | libs/langchain_v1/langchain/agents/middleware/_execution.py | """Execution policies for the persistent shell middleware."""
from __future__ import annotations
import abc
import json
import os
import shutil
import subprocess
import sys
import typing
from collections.abc import Mapping, Sequence
from dataclasses import dataclass, field
from pathlib import Path
try: # pragma: no... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/model_retry.py | libs/langchain_v1/langchain/agents/middleware/model_retry.py | """Model retry middleware for agents."""
from __future__ import annotations
import asyncio
import time
from typing import TYPE_CHECKING
from langchain_core.messages import AIMessage
from langchain.agents.middleware._retry import (
OnFailure,
RetryOn,
calculate_delay,
should_retry_exception,
vali... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/_redaction.py | libs/langchain_v1/langchain/agents/middleware/_redaction.py | """Shared redaction utilities for middleware components."""
from __future__ import annotations
import hashlib
import ipaddress
import operator
import re
from collections.abc import Callable, Sequence
from dataclasses import dataclass
from typing import Literal
from urllib.parse import urlparse
from typing_extensions... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/tool_emulator.py | libs/langchain_v1/langchain/agents/middleware/tool_emulator.py | """Tool emulator middleware for testing."""
from __future__ import annotations
from typing import TYPE_CHECKING
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.messages import HumanMessage, ToolMessage
from langchain.agents.middleware.types import AgentMiddleware
from langch... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/__init__.py | libs/langchain_v1/langchain/agents/middleware/__init__.py | """Entrypoint to using [middleware](https://docs.langchain.com/oss/python/langchain/middleware) plugins with [Agents](https://docs.langchain.com/oss/python/langchain/agents).""" # noqa: E501
from .context_editing import (
ClearToolUsesEdit,
ContextEditingMiddleware,
)
from .file_search import FilesystemFileSe... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/types.py | libs/langchain_v1/langchain/agents/middleware/types.py | """Types for middleware and agents."""
from __future__ import annotations
from collections.abc import Awaitable, Callable, Sequence
from dataclasses import dataclass, field, replace
from inspect import iscoroutinefunction
from typing import (
TYPE_CHECKING,
Annotated,
Any,
Generic,
Literal,
Pr... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/pii.py | libs/langchain_v1/langchain/agents/middleware/pii.py | """PII detection and handling middleware for agents."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Literal
from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, ToolMessage
from typing_extensions import override
from langchain.agents.middleware._redaction import (
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/summarization.py | libs/langchain_v1/langchain/agents/middleware/summarization.py | """Summarization middleware."""
import uuid
import warnings
from collections.abc import Callable, Iterable, Mapping
from functools import partial
from typing import Any, Literal, cast
from langchain_core.messages import (
AnyMessage,
MessageLikeRepresentation,
RemoveMessage,
ToolMessage,
)
from langch... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/context_editing.py | libs/langchain_v1/langchain/agents/middleware/context_editing.py | """Context editing middleware.
Mirrors Anthropic's context editing capabilities by clearing older tool results once the
conversation grows beyond a configurable token threshold.
The implementation is intentionally model-agnostic so it can be used with any LangChain
chat model.
"""
from __future__ import annotations
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/tool_call_limit.py | libs/langchain_v1/langchain/agents/middleware/tool_call_limit.py | """Tool call limit middleware for agents."""
from __future__ import annotations
from typing import TYPE_CHECKING, Annotated, Any, Generic, Literal
from langchain_core.messages import AIMessage, ToolCall, ToolMessage
from langgraph.channels.untracked_value import UntrackedValue
from langgraph.typing import ContextT
f... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/model_call_limit.py | libs/langchain_v1/langchain/agents/middleware/model_call_limit.py | """Call tracking middleware for agents."""
from __future__ import annotations
from typing import TYPE_CHECKING, Annotated, Any, Literal
from langchain_core.messages import AIMessage
from langgraph.channels.untracked_value import UntrackedValue
from typing_extensions import NotRequired, override
from langchain.agent... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/agents/middleware/tool_selection.py | libs/langchain_v1/langchain/agents/middleware/tool_selection.py | """LLM-based tool selector middleware."""
from __future__ import annotations
import logging
from dataclasses import dataclass
from typing import TYPE_CHECKING, Annotated, Literal, Union
if TYPE_CHECKING:
from collections.abc import Awaitable, Callable
from langchain.tools import BaseTool
from langchain_cor... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/messages/__init__.py | libs/langchain_v1/langchain/messages/__init__.py | """Message and message content types.
Includes message types for different roles (e.g., human, AI, system), as well as types
for message content blocks (e.g., text, image, audio) and tool calls.
"""
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
Annotation,
AnyMessage,
AudioConte... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/rate_limiters/__init__.py | libs/langchain_v1/langchain/rate_limiters/__init__.py | """Base abstraction and in-memory implementation of rate limiters.
These rate limiters can be used to limit the rate of requests to an API.
The rate limiters can be used together with `BaseChatModel`.
"""
from langchain_core.rate_limiters import BaseRateLimiter, InMemoryRateLimiter
__all__ = [
"BaseRateLimiter"... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/embeddings/__init__.py | libs/langchain_v1/langchain/embeddings/__init__.py | """Embeddings models.
!!! warning "Modules moved"
With the release of `langchain 1.0.0`, several embeddings modules were moved to
`langchain-classic`, such as `CacheBackedEmbeddings` and all community
embeddings. See [list](https://github.com/langchain-ai/langchain/blob/bdf1cd383ce36dc18381a3bf3fb0a579337a... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain_v1/langchain/embeddings/base.py | libs/langchain_v1/langchain/embeddings/base.py | """Factory functions for embeddings."""
import functools
import importlib
from collections.abc import Callable
from typing import Any
from langchain_core.embeddings import Embeddings
def _call(cls: type[Embeddings], **kwargs: Any) -> Embeddings:
return cls(**kwargs)
_SUPPORTED_PROVIDERS: dict[str, tuple[str, ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/scripts/check_imports.py | libs/core/scripts/check_imports.py | """Script to check if python modules can be imported."""
import random
import string
import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
module_name = "".join(
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/stores.py | libs/core/langchain_core/stores.py | """**Store** implements the key-value stores and storage helpers.
Module provides implementations of various key-value stores that conform
to a simple key-value interface.
The primary goal of these storages is to support implementation of caching.
"""
from abc import ABC, abstractmethod
from collections.abc import A... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/chat_sessions.py | libs/core/langchain_core/chat_sessions.py | """**Chat Sessions** are a collection of messages and function calls."""
from collections.abc import Sequence
from typing import TypedDict
from langchain_core.messages import BaseMessage
class ChatSession(TypedDict, total=False):
"""Chat Session.
Chat Session represents a single conversation, channel, or o... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/structured_query.py | libs/core/langchain_core/structured_query.py | """Internal representation of a structured query language."""
from __future__ import annotations
from abc import ABC, abstractmethod
from enum import Enum
from typing import TYPE_CHECKING, Any
from pydantic import BaseModel
if TYPE_CHECKING:
from collections.abc import Sequence
class Visitor(ABC):
"""Defi... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/chat_loaders.py | libs/core/langchain_core/chat_loaders.py | """Chat loaders."""
from abc import ABC, abstractmethod
from collections.abc import Iterator
from langchain_core.chat_sessions import ChatSession
class BaseChatLoader(ABC):
"""Base class for chat loaders."""
@abstractmethod
def lazy_load(self) -> Iterator[ChatSession]:
"""Lazy load the chat ses... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/rate_limiters.py | libs/core/langchain_core/rate_limiters.py | """Interface for a rate limiter and an in-memory rate limiter."""
from __future__ import annotations
import abc
import asyncio
import threading
import time
class BaseRateLimiter(abc.ABC):
"""Base class for rate limiters.
Usage of the base limiter is through the acquire and aacquire methods depending
on... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/chat_history.py | libs/core/langchain_core/chat_history.py | """**Chat message history** stores a history of the message interactions in a chat."""
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING
from pydantic import BaseModel, Field
from langchain_core.messages import (
AIMessage,
BaseMessage,
HumanMessage,... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/exceptions.py | libs/core/langchain_core/exceptions.py | """Custom **exceptions** for LangChain."""
from enum import Enum
from typing import Any
class LangChainException(Exception): # noqa: N818
"""General LangChain exception."""
class TracerException(LangChainException):
"""Base class for exceptions in tracers module."""
class OutputParserException(ValueErro... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/version.py | libs/core/langchain_core/version.py | """langchain-core version information and utilities."""
VERSION = "1.2.6"
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/sys_info.py | libs/core/langchain_core/sys_info.py | """Print information about the system and langchain packages for debugging purposes."""
import pkgutil
import platform
import re
import sys
from collections.abc import Sequence
from importlib import metadata, util
def _get_sub_deps(packages: Sequence[str]) -> list[str]:
"""Get any specified sub-dependencies."""
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/prompt_values.py | libs/core/langchain_core/prompt_values.py | """**Prompt values** for language model prompts.
Prompt values are used to represent different pieces of prompts.
They can be used to represent text, images, or chat message pieces.
"""
from __future__ import annotations
from abc import ABC, abstractmethod
from collections.abc import Sequence
from typing import Lite... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/retrievers.py | libs/core/langchain_core/retrievers.py | """**Retriever** class returns Documents given a text **query**.
It is more general than a vector store. A retriever does not need to be able to
store documents, only to return (or retrieve) it. Vector stores can be used as
the backbone of a retriever, but there are other types of retrievers as well.
"""
from __futur... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/_import_utils.py | libs/core/langchain_core/_import_utils.py | from importlib import import_module
def import_attr(
attr_name: str,
module_name: str | None,
package: str | None,
) -> object:
"""Import an attribute from a module located in a package.
This utility function is used in custom __getattr__ methods within __init__.py
files to dynamically import... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/__init__.py | libs/core/langchain_core/__init__.py | """`langchain-core` defines the base abstractions for the LangChain ecosystem.
The interfaces for core components like chat models, LLMs, vector stores, retrievers,
and more are defined here. The universal invocation protocol (Runnables) along with
a syntax for combining components (LangChain Expression Language) are ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/caches.py | libs/core/langchain_core/caches.py | """Optional caching layer for language models.
Distinct from provider-based [prompt caching](https://docs.langchain.com/oss/python/langchain/models#prompt-caching).
!!! warning "Beta feature"
This is a beta feature. Please be wary of deploying experimental code to production
unless you've taken appropriate p... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/globals.py | libs/core/langchain_core/globals.py | """Global values and configuration that apply to all of LangChain."""
from typing import TYPE_CHECKING, Optional
if TYPE_CHECKING:
from langchain_core.caches import BaseCache
# DO NOT USE THESE VALUES DIRECTLY!
# Use them only via `get_<X>()` and `set_<X>()` below,
# or else your code may behave unexpectedly wi... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/agents.py | libs/core/langchain_core/agents.py | """Schema definitions for representing agent actions, observations, and return values.
!!! warning
The schema definitions are provided for backwards compatibility.
!!! warning
New agents should be built using the
[`langchain` library](https://pypi.org/project/langchain/), which provides a
simpler and ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/env.py | libs/core/langchain_core/env.py | """Utilities for getting information about the runtime environment."""
import platform
from functools import lru_cache
from langchain_core import __version__
@lru_cache(maxsize=1)
def get_runtime_environment() -> dict:
"""Get information about the LangChain runtime environment.
Returns:
A dictionar... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/_api/path.py | libs/core/langchain_core/_api/path.py | import os
from pathlib import Path
HERE = Path(__file__).parent
# Get directory of langchain package
PACKAGE_DIR = HERE.parent
SEPARATOR = os.sep
def get_relative_path(file: Path | str, *, relative_to: Path = PACKAGE_DIR) -> str:
"""Get the path of the file as a relative path to the package directory.
Args... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/_api/beta_decorator.py | libs/core/langchain_core/_api/beta_decorator.py | """Helper functions for marking parts of the LangChain API as beta.
This module was loosely adapted from matplotlibs _api/deprecation.py module:
https://github.com/matplotlib/matplotlib/blob/main/lib/matplotlib/_api/deprecation.py
!!! warning
This module is for internal use only. Do not use it in your own code.... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/_api/deprecation.py | libs/core/langchain_core/_api/deprecation.py | """Helper functions for deprecating parts of the LangChain API.
This module was adapted from matplotlibs _api/deprecation.py module:
https://github.com/matplotlib/matplotlib/blob/main/lib/matplotlib/_api/deprecation.py
!!! warning
This module is for internal use only. Do not use it in your own code. We may chan... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/_api/internal.py | libs/core/langchain_core/_api/internal.py | import inspect
from typing import cast
def is_caller_internal(depth: int = 2) -> bool:
"""Return whether the caller at `depth` of this function is internal."""
try:
frame = inspect.currentframe()
except AttributeError:
return False
if frame is None:
return False
try:
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/_api/__init__.py | libs/core/langchain_core/_api/__init__.py | """Helper functions for managing the LangChain API.
This module is only relevant for LangChain developers, not for users.
!!! warning
This module and its submodules are for internal use only. Do not use them in your
own code. We may change the API at any time with no warning.
"""
from typing import TYPE_CH... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/language_models/llms.py | libs/core/langchain_core/language_models/llms.py | """Base interface for traditional large language models (LLMs) to expose.
These are traditionally older models (newer models generally are chat models).
"""
from __future__ import annotations
import asyncio
import functools
import inspect
import json
import logging
from abc import ABC, abstractmethod
from collection... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/language_models/fake.py | libs/core/langchain_core/language_models/fake.py | """Fake LLMs for testing purposes."""
import asyncio
import time
from collections.abc import AsyncIterator, Iterator, Mapping
from typing import Any
from typing_extensions import override
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.lan... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/language_models/chat_models.py | libs/core/langchain_core/language_models/chat_models.py | """Chat models for conversational AI."""
from __future__ import annotations
import asyncio
import inspect
import json
import typing
from abc import ABC, abstractmethod
from collections.abc import AsyncIterator, Callable, Iterator, Sequence
from functools import cached_property
from operator import itemgetter
from typ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/language_models/fake_chat_models.py | libs/core/langchain_core/language_models/fake_chat_models.py | """Fake chat models for testing purposes."""
import asyncio
import re
import time
from collections.abc import AsyncIterator, Iterator
from typing import Any, Literal, cast
from typing_extensions import override
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/language_models/model_profile.py | libs/core/langchain_core/language_models/model_profile.py | """Model profile types and utilities."""
from typing_extensions import TypedDict
class ModelProfile(TypedDict, total=False):
"""Model profile.
!!! warning "Beta feature"
This is a beta feature. The format of model profiles is subject to change.
Provides information about chat model capabilitie... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/language_models/__init__.py | libs/core/langchain_core/language_models/__init__.py | """Core language model abstractions.
LangChain has two main classes to work with language models: chat models and
"old-fashioned" LLMs (string-in, string-out).
**Chat models**
Language models that use a sequence of messages as inputs and return chat messages
as outputs (as opposed to using plain text).
Chat models ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/language_models/base.py | libs/core/langchain_core/language_models/base.py | """Base language models class."""
from __future__ import annotations
import warnings
from abc import ABC, abstractmethod
from collections.abc import Callable, Mapping, Sequence
from functools import cache
from typing import (
TYPE_CHECKING,
Any,
Literal,
TypeAlias,
TypeVar,
cast,
)
from pydan... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/language_models/_utils.py | libs/core/langchain_core/language_models/_utils.py | import re
from collections.abc import Sequence
from typing import (
TYPE_CHECKING,
Literal,
TypedDict,
TypeVar,
)
if TYPE_CHECKING:
from langchain_core.messages import BaseMessage
from langchain_core.messages.content import (
ContentBlock,
)
def is_openai_data_block(
block: dict, filter_:... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/example_selectors/length_based.py | libs/core/langchain_core/example_selectors/length_based.py | """Select examples based on length."""
import re
from collections.abc import Callable
from pydantic import BaseModel, Field, model_validator
from typing_extensions import Self
from langchain_core.example_selectors.base import BaseExampleSelector
from langchain_core.prompts.prompt import PromptTemplate
def _get_len... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/example_selectors/__init__.py | libs/core/langchain_core/example_selectors/__init__.py | """Example selectors.
**Example selector** implements logic for selecting examples to include them in prompts.
This allows us to select examples that are most relevant to the input.
"""
from typing import TYPE_CHECKING
from langchain_core._import_utils import import_attr
if TYPE_CHECKING:
from langchain_core.ex... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/langchain_core/example_selectors/semantic_similarity.py | libs/core/langchain_core/example_selectors/semantic_similarity.py | """Example selector that selects examples based on SemanticSimilarity."""
from __future__ import annotations
from abc import ABC
from typing import TYPE_CHECKING, Any
from pydantic import BaseModel, ConfigDict
from langchain_core.example_selectors.base import BaseExampleSelector
from langchain_core.vectorstores imp... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
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