sample_id stringlengths 21 196 | text stringlengths 105 936k | metadata dict | category stringclasses 6
values |
|---|---|---|---|
langchain-ai/langchain:libs/core/tests/unit_tests/messages/block_translators/test_bedrock_converse.py | from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage
from langchain_core.messages import content as types
def test_convert_to_v1_from_bedrock_converse() -> None:
message = AIMessage(
[
{
"type": "reasoning_content",
"reasoning_content": {"... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/core/tests/unit_tests/messages/block_translators/test_bedrock_converse.py",
"license": "MIT License",
"lines": 367,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/core/tests/unit_tests/messages/block_translators/test_langchain_v0.py | from langchain_core.messages import HumanMessage
from langchain_core.messages import content as types
from langchain_core.messages.block_translators.langchain_v0 import (
_convert_legacy_v0_content_block_to_v1,
)
from tests.unit_tests.language_models.chat_models.test_base import (
_content_blocks_equal_ignore_i... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/core/tests/unit_tests/messages/block_translators/test_langchain_v0.py",
"license": "MIT License",
"lines": 105,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/core/tests/unit_tests/messages/block_translators/test_openai.py | import pytest
from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage
from langchain_core.messages import content as types
from langchain_core.messages.block_translators.openai import (
convert_to_openai_data_block,
)
from tests.unit_tests.language_models.chat_models.test_base import (
_con... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/core/tests/unit_tests/messages/block_translators/test_openai.py",
"license": "MIT License",
"lines": 570,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/core/tests/unit_tests/messages/block_translators/test_registration.py | import pkgutil
from pathlib import Path
import pytest
from langchain_core.messages.block_translators import PROVIDER_TRANSLATORS
def test_all_providers_registered() -> None:
"""Test that all block translators implemented in langchain-core are registered.
If this test fails, it is likely that a block transl... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/core/tests/unit_tests/messages/block_translators/test_registration.py",
"license": "MIT License",
"lines": 21,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/anthropic/langchain_anthropic/_compat.py | from __future__ import annotations
import json
from typing import Any, cast
from langchain_core.messages import content as types
def _convert_annotation_from_v1(annotation: types.Annotation) -> dict[str, Any]:
"""Convert LangChain annotation format to Anthropic's native citation format."""
if annotation["ty... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/anthropic/langchain_anthropic/_compat.py",
"license": "MIT License",
"lines": 168,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain:libs/partners/ollama/langchain_ollama/_compat.py | """Go from v1 content blocks to Ollama SDK format."""
from typing import Any
from langchain_core.messages import content as types
def _convert_from_v1_to_ollama(
content: list[types.ContentBlock],
model_provider: str | None, # noqa: ARG001
) -> list[dict[str, Any]]:
"""Convert v1 content blocks to Olla... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/ollama/langchain_ollama/_compat.py",
"license": "MIT License",
"lines": 51,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langchain:libs/partners/ollama/tests/unit_tests/test_auth.py | """Test URL authentication parsing functionality."""
import base64
from unittest.mock import MagicMock, patch
from langchain_ollama._utils import parse_url_with_auth
from langchain_ollama.chat_models import ChatOllama
from langchain_ollama.embeddings import OllamaEmbeddings
from langchain_ollama.llms import OllamaLLM... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/ollama/tests/unit_tests/test_auth.py",
"license": "MIT License",
"lines": 178,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/exa/tests/unit_tests/test_standard.py | """Standard unit tests for ExaSearchRetriever."""
import pytest
from pytest_benchmark.fixture import BenchmarkFixture # type: ignore[import-untyped]
from langchain_exa import ExaSearchRetriever
@pytest.mark.benchmark
def test_exa_retriever_init_time(benchmark: BenchmarkFixture) -> None:
"""Test ExaSearchRetrie... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/exa/tests/unit_tests/test_standard.py",
"license": "MIT License",
"lines": 11,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/nomic/tests/unit_tests/test_standard.py | """Unit tests for standard tests in Nomic partner integration."""
import pytest
from pytest_benchmark.fixture import BenchmarkFixture # type: ignore[import]
from langchain_nomic import NomicEmbeddings
@pytest.mark.benchmark
def test_nomic_embeddings_init_time(benchmark: BenchmarkFixture) -> None:
"""Test Nomic... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/nomic/tests/unit_tests/test_standard.py",
"license": "MIT License",
"lines": 11,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/qdrant/tests/unit_tests/test_standard.py | import pytest
from langchain_core.embeddings import Embeddings
from pytest_benchmark.fixture import BenchmarkFixture # type: ignore[import-untyped]
from langchain_qdrant import QdrantVectorStore
class MockEmbeddings(Embeddings):
"""Mock embeddings for testing."""
def embed_documents(self, texts: list[str])... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/qdrant/tests/unit_tests/test_standard.py",
"license": "MIT License",
"lines": 24,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain/tests/unit_tests/chains/test_flare.py | """Tests for FlareChain.from_llm preserving supplied ChatOpenAI instance."""
from typing import cast
import pytest
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
from langchain_core.runnables import RunnableSequence
from langchain_classic.chains.flare.base import Fl... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain/tests/unit_tests/chains/test_flare.py",
"license": "MIT License",
"lines": 36,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain: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... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/langchain/agents/middleware/human_in_the_loop.py",
"license": "MIT License",
"lines": 299,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain: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 (
AIMessage,
AnyMessage,
MessageLikeRepresentation,
RemoveMessage,
ToolMessage... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/langchain/agents/middleware/summarization.py",
"license": "MIT License",
"lines": 534,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain: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... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/langchain/agents/middleware/types.py",
"license": "MIT License",
"lines": 1626,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langchain: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... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/langchain/agents/structured_output.py",
"license": "MIT License",
"lines": 362,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/any_str.py | import re
class AnyStr(str):
__slots__ = ("prefix",)
def __init__(self, prefix: str | re.Pattern[str] = "") -> None:
super().__init__()
self.prefix = prefix
def __eq__(self, other: object) -> bool:
return isinstance(other, str) and (
other.startswith(self.prefix)
... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/any_str.py",
"license": "MIT License",
"lines": 14,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/conftest_checkpointer.py | from collections.abc import AsyncIterator, Iterator
from contextlib import asynccontextmanager, contextmanager
from langgraph.checkpoint.base import BaseCheckpointSaver
from tests.unit_tests.agents.memory_assert import MemorySaverAssertImmutable
@contextmanager
def _checkpointer_memory() -> Iterator[BaseCheckpointS... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/conftest_checkpointer.py",
"license": "MIT License",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/conftest_store.py | from collections.abc import AsyncIterator, Iterator
from contextlib import asynccontextmanager, contextmanager
from langgraph.store.base import BaseStore
from langgraph.store.memory import InMemoryStore
@contextmanager
def _store_memory() -> Iterator[BaseStore]:
store = InMemoryStore()
yield store
@asyncco... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/conftest_store.py",
"license": "MIT License",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/memory_assert.py | import os
import tempfile
import time
from collections import defaultdict
from typing import Any
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
ChannelVersions,
Checkpoint,
CheckpointMetadata,
)
from langgraph.checkpoint.memory import InMemorySaver, PersistentDi... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/memory_assert.py",
"license": "MIT License",
"lines": 56,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/messages.py | """Redefined messages as a work-around for pydantic issue with AnyStr.
The code below creates version of pydantic models
that will work in unit tests with AnyStr as id field
Please note that the `id` field is assigned AFTER the model is created
to workaround an issue with pydantic ignoring the __eq__ method on
subclas... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/messages.py",
"license": "MIT License",
"lines": 20,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/model.py | import json
from collections.abc import Callable, Sequence
from dataclasses import asdict, is_dataclass
from typing import (
Any,
Literal,
)
from langchain_core.callbacks import CallbackManagerForLLMRun
from langchain_core.language_models import BaseChatModel, LanguageModelInput
from langchain_core.messages im... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/model.py",
"license": "MIT License",
"lines": 100,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/test_react_agent.py | # import dataclasses
# import inspect
# from types import UnionType
# from typing import (
# Annotated,
# Union,
# )
# import pytest
# from langchain_core.language_models import BaseChatModel
# from langchain_core.messages import (
# AIMessage,
# HumanMessage,
# MessageLikeRepresentation,
# Rem... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/test_react_agent.py",
"license": "MIT License",
"lines": 824,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/test_response_format.py | """Test suite for create_agent with structured output response_format permutations."""
import json
from collections.abc import Callable, Sequence
from dataclasses import dataclass
from typing import Any
from unittest.mock import patch
import pytest
from langchain_core.language_models import LanguageModelInput
from la... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/test_response_format.py",
"license": "MIT License",
"lines": 776,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/test_responses.py | """Unit tests for langchain.agents.structured_output module."""
import pytest
from langchain_core.messages import AIMessage
from pydantic import BaseModel
from langchain.agents.structured_output import (
OutputToolBinding,
ProviderStrategy,
ProviderStrategyBinding,
ToolStrategy,
_SchemaSpec,
)
c... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/test_responses.py",
"license": "MIT License",
"lines": 222,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/test_responses_spec.py | from __future__ import annotations
import os
from typing import (
TYPE_CHECKING,
Any,
)
from unittest.mock import MagicMock
import httpx
import pytest
from langchain_core.messages import HumanMessage
from langchain_core.tools import tool
from pydantic import BaseModel, create_model
from langchain.agents impo... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/test_responses_spec.py",
"license": "MIT License",
"lines": 127,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/test_return_direct_spec.py | from __future__ import annotations
import os
from typing import (
Any,
)
from unittest.mock import MagicMock
import pytest
from langchain_core.messages import HumanMessage
from langchain_core.tools import tool
from langchain.agents import create_agent
from langchain.agents.structured_output import (
ToolStra... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/test_return_direct_spec.py",
"license": "MIT License",
"lines": 94,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/agents/utils.py | import json
from pathlib import Path
from typing import TypeVar
from pydantic import BaseModel, ConfigDict
from pydantic.alias_generators import to_camel
class BaseSchema(BaseModel):
model_config = ConfigDict(
alias_generator=to_camel,
populate_by_name=True,
from_attributes=True,
)
... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/agents/utils.py",
"license": "MIT License",
"lines": 18,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/anthropic/tests/unit_tests/test_client_utils.py | """Test client utility functions."""
from __future__ import annotations
from langchain_anthropic._client_utils import (
_get_default_async_httpx_client,
_get_default_httpx_client,
)
def test_sync_client_without_proxy() -> None:
"""Test sync client creation without proxy."""
client = _get_default_htt... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/anthropic/tests/unit_tests/test_client_utils.py",
"license": "MIT License",
"lines": 44,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/openai/langchain_openai/tools/custom_tool.py | """Custom tool decorator for OpenAI custom tools."""
import inspect
from collections.abc import Awaitable, Callable
from typing import Any
from langchain_core.tools import tool
def _make_wrapped_func(func: Callable[..., str]) -> Callable[..., list[dict[str, Any]]]:
def wrapped(x: str) -> list[dict[str, Any]]:
... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openai/langchain_openai/tools/custom_tool.py",
"license": "MIT License",
"lines": 82,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langchain:libs/partners/openai/tests/unit_tests/test_tools.py | from langchain_core.messages import AIMessage, HumanMessage, ToolMessage
from langchain_core.tools import Tool
from langchain_openai import ChatOpenAI, custom_tool
def test_custom_tool() -> None:
@custom_tool
def my_tool(x: str) -> str:
"""Do thing."""
return "a" + x
# Test decorator
... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openai/tests/unit_tests/test_tools.py",
"license": "MIT License",
"lines": 110,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/openai/tests/unit_tests/chat_models/test_prompt_cache_key.py | """Unit tests for prompt_cache_key parameter."""
from langchain_core.messages import HumanMessage
from langchain_openai import ChatOpenAI
def test_prompt_cache_key_parameter_inclusion() -> None:
"""Test that prompt_cache_key parameter is properly included in request payload."""
chat = ChatOpenAI(model="gpt-... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openai/tests/unit_tests/chat_models/test_prompt_cache_key.py",
"license": "MIT License",
"lines": 65,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain: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... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/langchain/chat_models/base.py",
"license": "MIT License",
"lines": 855,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain: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)
_BUILTIN_PROVIDERS: dict[str, tuple[str, st... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/langchain/embeddings/base.py",
"license": "MIT License",
"lines": 212,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langchain:libs/langchain_v1/scripts/check_imports.py | """Check imports script.
Quickly verify that a list of Python files can be loaded by the Python interpreter
without raising any errors. Ran before running more expensive tests. Useful in
Makefiles.
If loading a file fails, the script prints the problematic filename and the detailed
error traceback.
"""
import random... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/scripts/check_imports.py",
"license": "MIT License",
"lines": 28,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langchain: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,... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/integration_tests/cache/fake_embeddings.py",
"license": "MIT License",
"lines": 68,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/integration_tests/chat_models/test_base.py | from typing import Any, 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 ChatModelIntegrationT... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/integration_tests/chat_models/test_base.py",
"license": "MIT License",
"lines": 43,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain: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 _BUILTIN_PROVIDERS, init_embeddings
@pytest.mark.parametrize(
("provider", "model"),
[
("openai", "text-embedding-3-large"),
("google_vert... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/integration_tests/embeddings/test_base.py",
"license": "MIT License",
"lines": 34,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/chat_models/test_chat_models.py | import os
from typing import TYPE_CHECKING
from unittest import mock
import pytest
from langchain_core.language_models.fake_chat_models import FakeChatModel
from langchain_core.prompts import ChatPromptTemplate
from langchain_core.runnables import RunnableConfig, RunnableSequence
from pydantic import SecretStr
from l... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/chat_models/test_chat_models.py",
"license": "MIT License",
"lines": 302,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/embeddings/test_base.py | """Test embeddings base module."""
import pytest
from langchain.embeddings.base import (
_BUILTIN_PROVIDERS,
_infer_model_and_provider,
_parse_model_string,
)
@pytest.mark.parametrize(
("model_string", "expected_provider", "expected_model"),
[
("openai:text-embedding-3-small", "openai", ... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/embeddings/test_base.py",
"license": "MIT License",
"lines": 87,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain: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)
| {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/embeddings/test_imports.py",
"license": "MIT License",
"lines": 7,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/test_dependencies.py | """A unit test meant to catch accidental introduction of non-optional dependencies."""
from collections.abc import Mapping
from pathlib import Path
from typing import Any
import pytest
import toml
from packaging.requirements import Requirement
HERE = Path(__file__).parent
PYPROJECT_TOML = HERE / "../../pyproject.to... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/test_dependencies.py",
"license": "MIT License",
"lines": 29,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/test_imports.py | import importlib
import warnings
from pathlib import Path
# Attempt to recursively import all modules in langchain
PKG_ROOT = Path(__file__).parent.parent.parent
def test_import_all() -> None:
"""Generate the public API for this package."""
with warnings.catch_warnings():
warnings.filterwarnings(acti... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/test_imports.py",
"license": "MIT License",
"lines": 46,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/test_pytest_config.py | import pytest
import pytest_socket
import requests
def test_socket_disabled() -> None:
"""This test should fail."""
with pytest.raises(pytest_socket.SocketBlockedError):
requests.get("https://www.example.com", timeout=1)
| {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/test_pytest_config.py",
"license": "MIT License",
"lines": 7,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/langchain_v1/tests/unit_tests/tools/test_imports.py | from langchain import tools
EXPECTED_ALL = {
"BaseTool",
"InjectedState",
"InjectedStore",
"InjectedToolArg",
"InjectedToolCallId",
"ToolException",
"ToolRuntime",
"tool",
}
def test_all_imports() -> None:
assert set(tools.__all__) == EXPECTED_ALL
| {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/langchain_v1/tests/unit_tests/tools/test_imports.py",
"license": "MIT License",
"lines": 13,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/core/tests/unit_tests/utils/test_strings.py | """Test string utilities."""
from langchain_core.utils.strings import (
comma_list,
sanitize_for_postgres,
stringify_dict,
stringify_value,
)
def test_sanitize_for_postgres() -> None:
"""Test sanitizing text for PostgreSQL compatibility."""
# Test with NUL bytes
text_with_nul = "Hello\x00... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/core/tests/unit_tests/utils/test_strings.py",
"license": "MIT License",
"lines": 80,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/ollama/langchain_ollama/_utils.py | """Utility function to validate Ollama models."""
from __future__ import annotations
import base64
from urllib.parse import unquote, urlparse
from httpx import ConnectError
from ollama import Client, ResponseError
def validate_model(client: Client, model_name: str) -> None:
"""Validate that a model exists in t... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/ollama/langchain_ollama/_utils.py",
"license": "MIT License",
"lines": 91,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain:libs/text-splitters/tests/unit_tests/test_html_security.py | """Security tests for HTML splitters to prevent XXE attacks."""
import pytest
from langchain_text_splitters.html import HTMLSectionSplitter
@pytest.mark.requires("lxml", "bs4")
class TestHTMLSectionSplitterSecurity:
"""Security tests for HTMLSectionSplitter to ensure XXE prevention."""
def test_xxe_entity_... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/text-splitters/tests/unit_tests/test_html_security.py",
"license": "MIT License",
"lines": 101,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/anthropic/langchain_anthropic/_client_utils.py | """Helpers for creating Anthropic API clients.
This module allows for the caching of httpx clients to avoid creating new instances
for each instance of ChatAnthropic.
Logic is largely replicated from anthropic._base_client.
"""
from __future__ import annotations
import asyncio
import os
from functools import lru_ca... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/anthropic/langchain_anthropic/_client_utils.py",
"license": "MIT License",
"lines": 65,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain:libs/core/tests/unit_tests/vectorstores/test_utils.py | """Tests for langchain_core.vectorstores.utils module."""
import math
import pytest
pytest.importorskip("numpy")
import numpy as np
from langchain_core.vectorstores.utils import _cosine_similarity
class TestCosineSimilarity:
"""Tests for _cosine_similarity function."""
def test_basic_cosine_similarity(se... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/core/tests/unit_tests/vectorstores/test_utils.py",
"license": "MIT License",
"lines": 141,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/openai/langchain_openai/chat_models/_compat.py | """Converts between AIMessage output formats, governed by `output_version`.
`output_version` is an attribute on ChatOpenAI.
Supported values are `None`, `'v0'`, and `'responses/v1'`.
`'v0'` corresponds to the format as of `ChatOpenAI` v0.3. For the Responses API, it
stores reasoning and tool outputs in `AIMessage.ad... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openai/langchain_openai/chat_models/_compat.py",
"license": "MIT License",
"lines": 398,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langchain:libs/partners/openai/tests/unit_tests/chat_models/test_responses_stream.py | from __future__ import annotations
from typing import Any
from unittest.mock import MagicMock, patch
import pytest
from langchain_core.messages import AIMessageChunk, BaseMessageChunk
from openai.types.responses import (
ResponseCompletedEvent,
ResponseContentPartAddedEvent,
ResponseContentPartDoneEvent,
... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openai/tests/unit_tests/chat_models/test_responses_stream.py",
"license": "MIT License",
"lines": 771,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langchain:libs/partners/openai/langchain_openai/chat_models/_client_utils.py | """Helpers for creating OpenAI API clients.
This module allows for the caching of httpx clients to avoid creating new instances
for each instance of ChatOpenAI.
Logic is largely replicated from openai._base_client.
"""
from __future__ import annotations
import asyncio
import inspect
import os
from collections.abc i... | {
"repo_id": "langchain-ai/langchain",
"file_path": "libs/partners/openai/langchain_openai/chat_models/_client_utils.py",
"license": "MIT License",
"lines": 109,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langgraph:libs/checkpoint/langgraph/checkpoint/serde/event_hooks.py | from __future__ import annotations
import logging
from collections.abc import Callable
from threading import Lock
from typing import TypedDict
from typing_extensions import NotRequired
logger = logging.getLogger(__name__)
class SerdeEvent(TypedDict):
kind: str
module: str
name: str
method: NotRequi... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint/langgraph/checkpoint/serde/event_hooks.py",
"license": "MIT License",
"lines": 37,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langgraph:libs/checkpoint/langgraph/checkpoint/serde/_msgpack.py | import os
from collections.abc import Iterable
from typing import cast
STRICT_MSGPACK_ENABLED = os.getenv("LANGGRAPH_STRICT_MSGPACK", "false").lower() in (
"1",
"true",
"yes",
)
_SENTINEL = cast(None, object())
SAFE_MSGPACK_TYPES: frozenset[tuple[str, ...]] = frozenset(
{
# datetime types
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint/langgraph/checkpoint/serde/_msgpack.py",
"license": "MIT License",
"lines": 82,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langgraph:libs/checkpoint/tests/test_encrypted.py | """Tests for EncryptedSerializer with msgpack allowlist functionality.
These tests mirror the msgpack allowlist tests in test_jsonplus.py but run them
through the EncryptedSerializer to ensure the allowlist behavior is preserved
when encryption is enabled.
"""
from __future__ import annotations
import logging
import... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint/tests/test_encrypted.py",
"license": "MIT License",
"lines": 343,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/langgraph/bench/serde_allowlist.py | from __future__ import annotations
from collections import deque
from dataclasses import dataclass
from enum import Enum
from typing import Annotated
from pydantic import BaseModel
from typing_extensions import NotRequired, TypedDict
from langgraph._internal._serde import collect_allowlist_from_schemas
class Color... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/langgraph/bench/serde_allowlist.py",
"license": "MIT License",
"lines": 55,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langgraph:libs/langgraph/langgraph/_internal/_serde.py | from __future__ import annotations
import dataclasses
import logging
import sys
import types
from collections import deque
from enum import Enum
from typing import (
Annotated,
Any,
Literal,
Union,
get_args,
get_origin,
get_type_hints,
)
from langchain_core import messages as lc_messages
f... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/langgraph/langgraph/_internal/_serde.py",
"license": "MIT License",
"lines": 211,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langgraph:libs/langgraph/tests/test_serde_allowlist.py | from __future__ import annotations
from collections import deque
from dataclasses import dataclass
from enum import Enum
from typing import TYPE_CHECKING, Annotated, Any, Literal, NewType, Optional, Union
import pytest
from pydantic import BaseModel
from typing_extensions import NotRequired, Required, TypedDict
from... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/langgraph/tests/test_serde_allowlist.py",
"license": "MIT License",
"lines": 110,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/langgraph/tests/test_subgraph_persistence.py | """Tests for subgraph persistence behavior (sync).
Covers three checkpointer settings for subgraph state:
- checkpointer=False: no persistence, even when parent has a checkpointer
- checkpointer=None (default): "stateless" — inherits parent checkpointer for
interrupt support, but state resets each invocation. This i... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/langgraph/tests/test_subgraph_persistence.py",
"license": "MIT License",
"lines": 540,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/langgraph/tests/test_subgraph_persistence_async.py | """Tests for subgraph persistence behavior (async).
Covers three checkpointer settings for subgraph state:
- checkpointer=False: no persistence, even when parent has a checkpointer
- checkpointer=None (default): "stateless" — inherits parent checkpointer for
interrupt support, but state resets each invocation. This ... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/langgraph/tests/test_subgraph_persistence_async.py",
"license": "MIT License",
"lines": 559,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/langgraph/tests/test_parent_command.py | from __future__ import annotations
from typing_extensions import TypedDict
from langgraph.graph import END, START, StateGraph
from langgraph.types import Command
def test_parent_command_from_nested_subgraph() -> None:
class ParentState(TypedDict):
jump_from_idx: int
class ChildState(TypedDict):
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/langgraph/tests/test_parent_command.py",
"license": "MIT License",
"lines": 36,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/langgraph/tests/test_parent_command_async.py | from __future__ import annotations
import pytest
from langchain_core.runnables import RunnableConfig
from typing_extensions import TypedDict
from langgraph.graph import END, START, StateGraph
from langgraph.types import Command
pytestmark = pytest.mark.anyio
async def test_parent_command_from_nested_subgraph() -> ... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/langgraph/tests/test_parent_command_async.py",
"license": "MIT License",
"lines": 39,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:docs/generate_redirects.py | #!/usr/bin/env python3
"""
Generate HTML redirect files from redirects.json.
Usage:
python generate_redirects.py
This script reads redirects.json and generates individual HTML files
for each redirect path. Each HTML file uses meta refresh (0 delay)
which is SEO-friendly and treated similarly to 301 redirects by G... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "docs/generate_redirects.py",
"license": "MIT License",
"lines": 119,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/capabilities.py | """Capability detection for checkpointer implementations."""
from __future__ import annotations
from dataclasses import dataclass
from enum import Enum
from typing import TYPE_CHECKING
from langgraph.checkpoint.base import BaseCheckpointSaver
if TYPE_CHECKING:
pass
class Capability(str, Enum):
"""Capabili... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/capabilities.py",
"license": "MIT License",
"lines": 73,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/initializer.py | """Checkpointer test registration and factory management."""
from __future__ import annotations
from collections.abc import AsyncGenerator, Callable
from contextlib import asynccontextmanager
from dataclasses import dataclass, field
from typing import Any
from langgraph.checkpoint.base import BaseCheckpointSaver
# ... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/initializer.py",
"license": "MIT License",
"lines": 78,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/report.py | """Capability report: results, progress callbacks, and pretty-printing."""
from __future__ import annotations
from collections.abc import Callable
from dataclasses import dataclass, field
from typing import Any
from langgraph.checkpoint.conformance.capabilities import (
BASE_CAPABILITIES,
EXTENDED_CAPABILITI... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/report.py",
"license": "MIT License",
"lines": 165,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_copy_thread.py | """COPY_THREAD capability tests — acopy_thread."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_copy_thread.py",
"license": "MIT License",
"lines": 206,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template... | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delete_for_runs.py | """DELETE_FOR_RUNS capability tests — adelete_for_runs."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delete_for_runs.py",
"license": "MIT License",
"lines": 176,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"temp... | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delete_thread.py | """DELETE_THREAD capability tests — adelete_thread."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
gene... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delete_thread.py",
"license": "MIT License",
"lines": 117,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"templa... | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_get_tuple.py | """GET_TUPLE capability tests — aget_tuple retrieval."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
ge... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_get_tuple.py",
"license": "MIT License",
"lines": 207,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template":... | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_list.py | """LIST capability tests — alist with various filters."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
g... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_list.py",
"license": "MIT License",
"lines": 328,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_prune.py | """PRUNE capability tests — aprune(strategy)."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate_checkpoint,
generate_c... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_prune.py",
"license": "MIT License",
"lines": 180,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
... | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_put.py | """PUT capability tests — aput + aget_tuple round-trip."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from typing import Any
from uuid import uuid4
from langgraph.checkpoint.base import (
BaseCheckpointSaver,
ChannelVersions,
)
from langgraph.checkpoint.conforma... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_put.py",
"license": "MIT License",
"lines": 340,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_put_writes.py | """PUT_WRITES capability tests — aput_writes + pending_writes retrieval."""
from __future__ import annotations
import traceback
from collections.abc import Callable
from uuid import uuid4
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.checkpoint.conformance.test_utils import (
generate... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_put_writes.py",
"license": "MIT License",
"lines": 250,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template"... | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/test_utils.py | """Test utilities: checkpoint generators, assertion helpers, bulk operations."""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
from uuid import uuid4
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import (
ChannelVersions,
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/test_utils.py",
"license": "MIT License",
"lines": 185,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/checkpoint-conformance/langgraph/checkpoint/conformance/validate.py | """Core conformance runner — detects capabilities, runs test suites, builds report."""
from __future__ import annotations
from langgraph.checkpoint.conformance.capabilities import (
Capability,
DetectedCapabilities,
)
from langgraph.checkpoint.conformance.initializer import RegisteredCheckpointer
from langgra... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/langgraph/checkpoint/conformance/validate.py",
"license": "MIT License",
"lines": 108,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langgraph:libs/checkpoint-conformance/tests/test_validate_memory.py | """Self-tests: run the conformance suite against InMemorySaver."""
from __future__ import annotations
import pytest
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.conformance import checkpointer_test, validate
@checkpointer_test(name="InMemorySaver")
async def memory_checkpointer()... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/checkpoint-conformance/tests/test_validate_memory.py",
"license": "MIT License",
"lines": 14,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_async/assistants.py | """Async client for managing assistants in LangGraph."""
from __future__ import annotations
from collections.abc import Mapping
from typing import Any, Literal, cast, overload
import httpx
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk.schema import (
Assistant,
AssistantSelectField,
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_async/assistants.py",
"license": "MIT License",
"lines": 647,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_async/client.py | """Async LangGraph client."""
from __future__ import annotations
import logging
import os
from collections.abc import Mapping
from types import TracebackType
import httpx
from langgraph_sdk._async.assistants import AssistantsClient
from langgraph_sdk._async.cron import CronClient
from langgraph_sdk._async.http impo... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_async/client.py",
"license": "MIT License",
"lines": 147,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_async/cron.py | """Async client for managing recurrent runs (cron jobs) in LangGraph."""
from __future__ import annotations
import warnings
from collections.abc import Mapping, Sequence
from datetime import datetime
from typing import Any
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk.schema import (
All,
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_async/cron.py",
"license": "MIT License",
"lines": 462,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_async/http.py | """HTTP client for async operations."""
from __future__ import annotations
import asyncio
import logging
import sys
import warnings
from collections.abc import AsyncIterator, Callable, Mapping
from typing import Any, cast
import httpx
import orjson
from langgraph_sdk._shared.utilities import _orjson_default
from la... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_async/http.py",
"license": "MIT License",
"lines": 277,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_async/runs.py | """Async client for managing runs in LangGraph."""
from __future__ import annotations
import builtins
import warnings
from collections.abc import AsyncIterator, Callable, Mapping, Sequence
from typing import Any, overload
import httpx
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._shared.utili... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_async/runs.py",
"license": "MIT License",
"lines": 983,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_async/store.py | """Async Store client for LangGraph SDK."""
from __future__ import annotations
from collections.abc import Mapping, Sequence
from typing import Any, Literal
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._shared.utilities import _provided_vals
from langgraph_sdk.schema import (
Item,
Lis... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_async/store.py",
"license": "MIT License",
"lines": 272,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_async/threads.py | """Async client for managing threads in LangGraph."""
from __future__ import annotations
from collections.abc import AsyncIterator, Mapping, Sequence
from typing import Any
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk.schema import (
Checkpoint,
Json,
OnConflictBehavior,
PruneS... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_async/threads.py",
"license": "MIT License",
"lines": 650,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_shared/types.py | """Type aliases and constants."""
from __future__ import annotations
TimeoutTypes = (
None
| float
| tuple[float | None, float | None]
| tuple[float | None, float | None, float | None, float | None]
)
| {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_shared/types.py",
"license": "MIT License",
"lines": 8,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_simple |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_shared/utilities.py | """Shared utility functions for async and sync clients."""
from __future__ import annotations
import functools
import os
import re
from collections.abc import Mapping
from typing import Any, cast
import httpx
import langgraph_sdk
from langgraph_sdk.schema import RunCreateMetadata
RESERVED_HEADERS = ("x-api-key",)
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_shared/utilities.py",
"license": "MIT License",
"lines": 102,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_sync/assistants.py | """Synchronous client for managing assistants in LangGraph."""
from __future__ import annotations
from collections.abc import Mapping
from typing import Any, Literal, cast, overload
import httpx
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
Assistant,
AssistantSelect... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_sync/assistants.py",
"license": "MIT License",
"lines": 649,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_sync/client.py | """Sync LangGraph client."""
from __future__ import annotations
from collections.abc import Mapping
from types import TracebackType
import httpx
from langgraph_sdk._shared.types import TimeoutTypes
from langgraph_sdk._shared.utilities import NOT_PROVIDED, _get_headers
from langgraph_sdk._sync.assistants import Sync... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_sync/client.py",
"license": "MIT License",
"lines": 102,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_sync/cron.py | """Synchronous cron client for LangGraph SDK."""
from __future__ import annotations
import warnings
from collections.abc import Mapping, Sequence
from datetime import datetime
from typing import Any
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
All,
Config,
Contex... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_sync/cron.py",
"license": "MIT License",
"lines": 452,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_sync/http.py | """Synchronous HTTP client for LangGraph API."""
from __future__ import annotations
import logging
import sys
import warnings
from collections.abc import Callable, Iterator, Mapping
from typing import Any, cast
import httpx
import orjson
from langgraph_sdk._shared.utilities import _orjson_default
from langgraph_sdk... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_sync/http.py",
"license": "MIT License",
"lines": 267,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | function_complex |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_sync/runs.py | """Synchronous client for managing runs in LangGraph."""
from __future__ import annotations
import builtins
import warnings
from collections.abc import Callable, Iterator, Mapping, Sequence
from typing import Any, overload
import httpx
from langgraph_sdk._shared.utilities import _get_run_metadata_from_response
from... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_sync/runs.py",
"license": "MIT License",
"lines": 967,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_sync/store.py | """Synchronous store client for LangGraph SDK."""
from __future__ import annotations
from collections.abc import Mapping, Sequence
from typing import Any, Literal
from langgraph_sdk._shared.utilities import _provided_vals
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
Item... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_sync/store.py",
"license": "MIT License",
"lines": 273,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/_sync/threads.py | """Synchronous client for managing threads in LangGraph."""
from __future__ import annotations
from collections.abc import Iterator, Mapping, Sequence
from typing import Any
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
Checkpoint,
Json,
OnConflictBehavior,
Pr... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/_sync/threads.py",
"license": "MIT License",
"lines": 637,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/tests/test_client_exports.py | """Test that all expected symbols are exported from langgraph_sdk.client.
This test ensures backwards compatibility during refactoring.
"""
import httpx
from langgraph_sdk import get_client as public_get_client
from langgraph_sdk import get_sync_client as public_get_sync_client
from langgraph_sdk.client import (
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/tests/test_client_exports.py",
"license": "MIT License",
"lines": 74,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/runtime.py | from __future__ import annotations
import sys
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Generic, Literal, TypeVar
if sys.version_info >= (3, 13):
ContextT = TypeVar("ContextT", default=None)
else:
ContextT = TypeVar("ContextT")
if sys.version_info >= (3, 12):
from typing ... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/runtime.py",
"license": "MIT License",
"lines": 183,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/tests/test_crons_client.py | """Tests for the crons client."""
from __future__ import annotations
import json
from datetime import datetime, timezone
import httpx
import pytest
from langgraph_sdk.client import (
CronClient,
HttpClient,
SyncCronClient,
SyncHttpClient,
)
def _cron_payload() -> dict[str, object]:
"""Return a... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/tests/test_crons_client.py",
"license": "MIT License",
"lines": 381,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/sdk-py/langgraph_sdk/encryption/types.py | """Encryption and decryption types for LangGraph.
This module defines the core types used for custom at-rest encryption
in LangGraph. It includes context types and typed dictionaries for
encryption operations.
"""
from __future__ import annotations
import typing
from collections.abc import Awaitable, Callable
Json ... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/langgraph_sdk/encryption/types.py",
"license": "MIT License",
"lines": 106,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | documentation |
langchain-ai/langgraph:libs/sdk-py/tests/test_encryption.py | import pytest
from langgraph_sdk.encryption import DuplicateHandlerError, Encryption
class TestHandlerValidation:
"""Test duplicate handler and signature validation."""
def test_duplicate_handlers_raise_error(self):
"""Registering the same handler type twice raises DuplicateHandlerError."""
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/tests/test_encryption.py",
"license": "MIT License",
"lines": 50,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/sdk-py/tests/test_assistants_client.py | from __future__ import annotations
import httpx
import pytest
from langgraph_sdk.client import (
AssistantsClient,
HttpClient,
SyncAssistantsClient,
SyncHttpClient,
)
def _assistant_payload() -> dict[str, object]:
return {
"assistant_id": "asst_123",
"graph_id": "graph_123",
... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/tests/test_assistants_client.py",
"license": "MIT License",
"lines": 72,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
langchain-ai/langgraph:libs/sdk-py/tests/test_skip_auto_load_api_key.py | """Tests for api_key parameter behavior."""
import pytest
from langgraph_sdk import get_client, get_sync_client
class TestSkipAutoLoadApiKey:
"""Test the api_key parameter's auto-loading behavior."""
@pytest.mark.asyncio
async def test_get_client_loads_from_env_by_default(self, monkeypatch):
""... | {
"repo_id": "langchain-ai/langgraph",
"file_path": "libs/sdk-py/tests/test_skip_auto_load_api_key.py",
"license": "MIT License",
"lines": 54,
"canary_id": -1,
"canary_value": "",
"pii_type": "",
"provider": "",
"regex_pattern": "",
"repetition": -1,
"template": ""
} | test |
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