repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
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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/core/langchain_core/prompts/image.py | libs/core/langchain_core/prompts/image.py | """Image prompt template for a multimodal model."""
from typing import Any, Literal, cast
from pydantic import Field
from langchain_core.prompt_values import ImagePromptValue, ImageURL, PromptValue
from langchain_core.prompts.base import BasePromptTemplate
from langchain_core.prompts.string import (
DEFAULT_FORM... | 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/prompts/string.py | libs/core/langchain_core/prompts/string.py | """BasePrompt schema definition."""
from __future__ import annotations
import warnings
from abc import ABC, abstractmethod
from string import Formatter
from typing import TYPE_CHECKING, Any, Literal, cast
from pydantic import BaseModel, create_model
from typing_extensions import override
from langchain_core.prompt_... | 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/prompts/few_shot.py | libs/core/langchain_core/prompts/few_shot.py | """Prompt template that contains few shot examples."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any, Literal
from pydantic import (
BaseModel,
ConfigDict,
Field,
model_validator,
)
from typing_extensions import override
from langchain_core.example_selectors import BaseExa... | 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/prompts/dict.py | libs/core/langchain_core/prompts/dict.py | """Dict prompt template."""
import warnings
from functools import cached_property
from typing import Any, Literal, cast
from typing_extensions import override
from langchain_core.load import dumpd
from langchain_core.prompts.string import (
DEFAULT_FORMATTER_MAPPING,
get_template_variables,
)
from langchain_... | 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/prompts/chat.py | libs/core/langchain_core/prompts/chat.py | """Chat prompt template."""
from __future__ import annotations
from abc import ABC, abstractmethod
from collections.abc import Sequence
from pathlib import Path
from typing import (
Annotated,
Any,
TypedDict,
TypeVar,
cast,
overload,
)
from pydantic import (
Field,
PositiveInt,
Sk... | 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/prompts/message.py | libs/core/langchain_core/prompts/message.py | """Message prompt templates."""
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
from langchain_core.load import Serializable
from langchain_core.utils.interactive_env import is_interactive_env
if TYPE_CHECKING:
from langchain_core.messages import Base... | 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/prompts/prompt.py | libs/core/langchain_core/prompts/prompt.py | """Prompt schema definition."""
from __future__ import annotations
from pathlib import Path
from typing import TYPE_CHECKING, Any
from pydantic import BaseModel, model_validator
from typing_extensions import override
from langchain_core.prompts.string import (
DEFAULT_FORMATTER_MAPPING,
PromptTemplateFormat... | 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/prompts/loading.py | libs/core/langchain_core/prompts/loading.py | """Load prompts."""
import json
import logging
from collections.abc import Callable
from pathlib import Path
import yaml
from langchain_core.output_parsers.string import StrOutputParser
from langchain_core.prompts.base import BasePromptTemplate
from langchain_core.prompts.chat import ChatPromptTemplate
from langchai... | 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/prompts/few_shot_with_templates.py | libs/core/langchain_core/prompts/few_shot_with_templates.py | """Prompt template that contains few shot examples."""
from pathlib import Path
from typing import Any
from pydantic import ConfigDict, model_validator
from typing_extensions import Self
from langchain_core.example_selectors import BaseExampleSelector
from langchain_core.prompts.prompt import PromptTemplate
from 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/prompts/__init__.py | libs/core/langchain_core/prompts/__init__.py | """**Prompt** is the input to the model.
Prompt is often constructed from multiple components and prompt values. Prompt classes
and functions make constructing and working with prompts easy.
"""
from typing import TYPE_CHECKING
from langchain_core._import_utils import import_attr
if TYPE_CHECKING:
from langchai... | 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/prompts/base.py | libs/core/langchain_core/prompts/base.py | """Base class for prompt templates."""
from __future__ import annotations
import contextlib
import json
import typing
from abc import ABC, abstractmethod
from collections.abc import Mapping # noqa: TC003
from functools import cached_property
from pathlib import Path
from typing import TYPE_CHECKING, Any, Generic, Ty... | 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/indexing/api.py | libs/core/langchain_core/indexing/api.py | """Module contains logic for indexing documents into vector stores."""
from __future__ import annotations
import hashlib
import json
import uuid
import warnings
from itertools import islice
from typing import (
TYPE_CHECKING,
Any,
Literal,
TypedDict,
TypeVar,
cast,
)
from langchain_core.docum... | 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/indexing/in_memory.py | libs/core/langchain_core/indexing/in_memory.py | """In memory document index."""
import operator
import uuid
from collections.abc import Sequence
from typing import Any, cast
from pydantic import Field
from typing_extensions import override
from langchain_core._api import beta
from langchain_core.callbacks import CallbackManagerForRetrieverRun
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/core/langchain_core/indexing/__init__.py | libs/core/langchain_core/indexing/__init__.py | """Code to help indexing data into a vectorstore.
This package contains helper logic to help deal with indexing data into
a `VectorStore` while avoiding duplicated content and over-writing content
if it's unchanged.
"""
from typing import TYPE_CHECKING
from langchain_core._import_utils import import_attr
if 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/indexing/base.py | libs/core/langchain_core/indexing/base.py | """Base classes for indexing."""
from __future__ import annotations
import abc
import time
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any, TypedDict
from typing_extensions import override
from langchain_core._api import beta
from langchain_core.retrievers import BaseRetriever
from langcha... | 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/documents/transformers.py | libs/core/langchain_core/documents/transformers.py | """Document transformers."""
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING, Any
from langchain_core.runnables.config import run_in_executor
if TYPE_CHECKING:
from collections.abc import Sequence
from langchain_core.documents import Document
class ... | 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/documents/__init__.py | libs/core/langchain_core/documents/__init__.py | """Documents module for data retrieval and processing workflows.
This module provides core abstractions for handling data in retrieval-augmented
generation (RAG) pipelines, vector stores, and document processing workflows.
!!! warning "Documents vs. message content"
This module is distinct from `langchain_core.me... | 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/documents/compressor.py | libs/core/langchain_core/documents/compressor.py | """Document compressor."""
from __future__ import annotations
from abc import ABC, abstractmethod
from typing import TYPE_CHECKING
from pydantic import BaseModel
from langchain_core.runnables import run_in_executor
if TYPE_CHECKING:
from collections.abc import Sequence
from langchain_core.callbacks 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/documents/base.py | libs/core/langchain_core/documents/base.py | """Base classes for media and documents.
This module contains core abstractions for **data retrieval and processing workflows**:
- `BaseMedia`: Base class providing `id` and `metadata` fields
- `Blob`: Raw data loading (files, binary data) - used by document loaders
- `Document`: Text content for retrieval (RAG, vect... | 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/output_parsers/string.py | libs/core/langchain_core/output_parsers/string.py | """String output parser."""
from typing_extensions import override
from langchain_core.output_parsers.transform import BaseTransformOutputParser
class StrOutputParser(BaseTransformOutputParser[str]):
"""Extract text content from model outputs as a string.
Converts model outputs (such as `AIMessage` or `AIM... | 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/output_parsers/transform.py | libs/core/langchain_core/output_parsers/transform.py | """Base classes for output parsers that can handle streaming input."""
from __future__ import annotations
from typing import (
TYPE_CHECKING,
Any,
)
from typing_extensions import override
from langchain_core.messages import BaseMessage, BaseMessageChunk
from langchain_core.output_parsers.base import BaseOut... | 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/output_parsers/openai_functions.py | libs/core/langchain_core/output_parsers/openai_functions.py | """Parsers for OpenAI functions output."""
import copy
import json
from types import GenericAlias
from typing import Any
import jsonpatch # type: ignore[import-untyped]
from pydantic import BaseModel, model_validator
from pydantic.v1 import BaseModel as BaseModelV1
from typing_extensions import override
from langch... | 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/output_parsers/xml.py | libs/core/langchain_core/output_parsers/xml.py | """Output parser for XML format."""
import contextlib
import re
import xml
import xml.etree.ElementTree as ET
from collections.abc import AsyncIterator, Iterator
from typing import Any, Literal
from xml.etree.ElementTree import TreeBuilder
from typing_extensions import override
from langchain_core.exceptions 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/output_parsers/openai_tools.py | libs/core/langchain_core/output_parsers/openai_tools.py | """Parse tools for OpenAI tools output."""
import copy
import json
import logging
from json import JSONDecodeError
from typing import Annotated, Any
from pydantic import SkipValidation, ValidationError
from langchain_core.exceptions import OutputParserException
from langchain_core.messages import AIMessage, InvalidT... | 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/output_parsers/list.py | libs/core/langchain_core/output_parsers/list.py | """Parsers for list output."""
from __future__ import annotations
import csv
import re
from abc import abstractmethod
from collections import deque
from io import StringIO
from typing import TYPE_CHECKING, TypeVar
from typing_extensions import override
from langchain_core.messages import BaseMessage
from langchain_... | 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/output_parsers/__init__.py | libs/core/langchain_core/output_parsers/__init__.py | """`OutputParser` classes parse the output of an LLM call into structured data.
!!! tip "Structured output"
Output parsers emerged as an early solution to the challenge of obtaining structured
output from LLMs.
Today, most LLMs support [structured output](https://docs.langchain.com/oss/python/langchain/m... | 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/output_parsers/json.py | libs/core/langchain_core/output_parsers/json.py | """Parser for JSON output."""
from __future__ import annotations
import json
from json import JSONDecodeError
from typing import Annotated, Any, TypeVar
import jsonpatch # type: ignore[import-untyped]
import pydantic
from pydantic import SkipValidation
from pydantic.v1 import BaseModel
from typing_extensions 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/output_parsers/base.py | libs/core/langchain_core/output_parsers/base.py | """Base parser for language model outputs."""
from __future__ import annotations
import contextlib
from abc import ABC, abstractmethod
from typing import (
TYPE_CHECKING,
Any,
Generic,
TypeVar,
cast,
)
from typing_extensions import override
from langchain_core.language_models import LanguageMode... | 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/output_parsers/pydantic.py | libs/core/langchain_core/output_parsers/pydantic.py | """Output parsers using Pydantic."""
import json
from typing import Annotated, Generic, Literal, overload
import pydantic
from pydantic import SkipValidation
from typing_extensions import override
from langchain_core.exceptions import OutputParserException
from langchain_core.output_parsers import JsonOutputParser
f... | 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/output_parsers/format_instructions.py | libs/core/langchain_core/output_parsers/format_instructions.py | """Format instructions."""
JSON_FORMAT_INSTRUCTIONS = """STRICT OUTPUT FORMAT:
- Return only the JSON value that conforms to the schema. Do not include any additional text, explanations, headings, or separators.
- Do not wrap the JSON in Markdown or code fences (no ``` or ```json).
- Do not prepend or append any text ... | 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/embeddings/fake.py | libs/core/langchain_core/embeddings/fake.py | """Module contains a few fake embedding models for testing purposes."""
# Please do not add additional fake embedding model implementations here.
import contextlib
import hashlib
from pydantic import BaseModel
from typing_extensions import override
from langchain_core.embeddings import Embeddings
with contextlib.su... | 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/embeddings/__init__.py | libs/core/langchain_core/embeddings/__init__.py | """Embeddings."""
from typing import TYPE_CHECKING
from langchain_core._import_utils import import_attr
if TYPE_CHECKING:
from langchain_core.embeddings.embeddings import Embeddings
from langchain_core.embeddings.fake import (
DeterministicFakeEmbedding,
FakeEmbeddings,
)
__all__ = ("Det... | 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/embeddings/embeddings.py | libs/core/langchain_core/embeddings/embeddings.py | """**Embeddings** interface."""
from abc import ABC, abstractmethod
from langchain_core.runnables.config import run_in_executor
class Embeddings(ABC):
"""Interface for embedding models.
This is an interface meant for implementing text embedding models.
Text embedding models are used to map text to a v... | 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/load/load.py | libs/core/langchain_core/load/load.py | """Load LangChain objects from JSON strings or objects.
## How it works
Each `Serializable` LangChain object has a unique identifier (its "class path"), which
is a list of strings representing the module path and class name. For example:
- `AIMessage` -> `["langchain_core", "messages", "ai", "AIMessage"]`
- `ChatPro... | 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/load/mapping.py | libs/core/langchain_core/load/mapping.py | """Serialization mapping.
This file contains a mapping between the `lc_namespace` path for a given
subclass that implements from `Serializable` to the namespace
where that class is actually located.
This mapping helps maintain the ability to serialize and deserialize
well-known LangChain objects even if they are move... | 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/load/_validation.py | libs/core/langchain_core/load/_validation.py | """Validation utilities for LangChain serialization.
Provides escape-based protection against injection attacks in serialized objects. The
approach uses an allowlist design: only dicts explicitly produced by
`Serializable.to_json()` are treated as LC objects during deserialization.
## How escaping works
During seria... | 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/load/dump.py | libs/core/langchain_core/load/dump.py | """Serialize LangChain objects to JSON.
Provides `dumps` (to JSON string) and `dumpd` (to dict) for serializing
`Serializable` objects.
## Escaping
During serialization, plain dicts (user data) that contain an `'lc'` key are escaped
by wrapping them: `{"__lc_escaped__": {...original...}}`. This prevents injection
at... | 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/load/serializable.py | libs/core/langchain_core/load/serializable.py | """Serializable base class."""
import contextlib
import logging
from abc import ABC
from typing import (
Any,
Literal,
TypedDict,
cast,
)
from pydantic import BaseModel, ConfigDict
from pydantic.fields import FieldInfo
from typing_extensions import NotRequired, override
logger = logging.getLogger(__n... | 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/load/__init__.py | libs/core/langchain_core/load/__init__.py | """**Load** module helps with serialization and deserialization."""
from typing import TYPE_CHECKING
from langchain_core._import_utils import import_attr
if TYPE_CHECKING:
from langchain_core.load.dump import dumpd, dumps
from langchain_core.load.load import InitValidator, loads
from langchain_core.load.... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/__init__.py | libs/core/tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/benchmarks/test_async_callbacks.py | libs/core/tests/benchmarks/test_async_callbacks.py | import asyncio
from itertools import cycle
from typing import Any
from uuid import UUID
import pytest
from pytest_benchmark.fixture import BenchmarkFixture
from typing_extensions import override
from langchain_core.callbacks.base import AsyncCallbackHandler
from langchain_core.language_models import GenericFakeChatMo... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/benchmarks/__init__.py | libs/core/tests/benchmarks/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/benchmarks/test_imports.py | libs/core/tests/benchmarks/test_imports.py | import subprocess
import sys
import pytest
from pytest_benchmark.fixture import BenchmarkFixture
@pytest.mark.parametrize(
"import_path",
[
pytest.param(
"from langchain_core.messages import HumanMessage", id="HumanMessage"
),
pytest.param("from langchain_core.tools import... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_outputs.py | libs/core/tests/unit_tests/test_outputs.py | from langchain_core.messages import HumanMessageChunk
from langchain_core.outputs import ChatGenerationChunk, GenerationChunk
def test_generation_chunk() -> None:
assert GenerationChunk(text="Hello, ") + GenerationChunk(
text="world!"
) == GenerationChunk(text="Hello, world!"), (
"GenerationCh... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_sys_info.py | libs/core/tests/unit_tests/test_sys_info.py | from langchain_core.sys_info import print_sys_info
def test_print_sys_info() -> None:
"""Super simple test to that no exceptions are triggered when calling code."""
print_sys_info()
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/pydantic_utils.py | libs/core/tests/unit_tests/pydantic_utils.py | from inspect import isclass
from typing import Any
from pydantic import BaseModel
from pydantic.v1 import BaseModel as BaseModelV1
# Function to replace allOf with $ref
def replace_all_of_with_ref(schema: Any) -> None:
if isinstance(schema, dict):
# If the schema has an allOf key with a single item that ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_tools.py | libs/core/tests/unit_tests/test_tools.py | """Test the base tool implementation."""
import inspect
import json
import sys
import textwrap
import threading
from collections.abc import Callable
from dataclasses import dataclass
from datetime import datetime
from enum import Enum
from functools import partial
from typing import (
Annotated,
Any,
Gener... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/stubs.py | libs/core/tests/unit_tests/stubs.py | from typing import Any
from langchain_core.documents import Document
from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage
class AnyStr(str):
__slots__ = ()
def __eq__(self, other: object) -> bool:
return isinstance(other, str)
__hash__ = str.__hash__
# The code below cr... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_prompt_values.py | libs/core/tests/unit_tests/test_prompt_values.py | from langchain_core.messages import (
AIMessage,
AIMessageChunk,
HumanMessage,
HumanMessageChunk,
SystemMessage,
SystemMessageChunk,
ToolMessage,
ToolMessageChunk,
)
from langchain_core.prompt_values import ChatPromptValueConcrete
def test_chat_prompt_value_concrete() -> None:
mess... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/conftest.py | libs/core/tests/unit_tests/conftest.py | """Configuration for unit tests."""
from collections.abc import Iterator, Sequence
from importlib import util
from uuid import UUID
import pytest
from blockbuster import BlockBuster, blockbuster_ctx
from pytest_mock import MockerFixture
@pytest.fixture(autouse=True)
def blockbuster() -> Iterator[BlockBuster]:
w... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_pydantic_imports.py | libs/core/tests/unit_tests/test_pydantic_imports.py | import importlib
from pathlib import Path
from pydantic import BaseModel
def test_all_models_built() -> None:
for path in Path("../core/langchain_core/").glob("*"):
module_name = path.stem
if (
not module_name.startswith(".")
and path.suffix != ".typed"
and mod... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_setup.py | libs/core/tests/unit_tests/test_setup.py | import time
import pytest
from blockbuster import BlockingError
from langchain_core import sys_info
async def test_blockbuster_setup() -> None:
"""Check if blockbuster is correctly setup."""
# Blocking call outside of langchain_core is allowed.
time.sleep(0.01) # noqa: ASYNC251
with pytest.raises(B... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/__init__.py | libs/core/tests/unit_tests/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_retrievers.py | libs/core/tests/unit_tests/test_retrievers.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_messages.py | libs/core/tests/unit_tests/test_messages.py | import uuid
from typing import get_args
import pytest
from langchain_core.documents import Document
from langchain_core.load import dumpd, load
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
BaseMessage,
BaseMessageChunk,
ChatMessage,
ChatMessageChunk,
FunctionMessage,
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_pydantic_serde.py | libs/core/tests/unit_tests/test_pydantic_serde.py | """Test pydantic SerDe.
A set of tests that verifies that Union discrimination works correctly with
the various pydantic base models.
These tests can uncover issues that will also arise during regular instantiation
of the models (i.e., not necessarily from loading or dumping JSON).
"""
import pytest
from pydantic im... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_imports.py | libs/core/tests/unit_tests/test_imports.py | import concurrent.futures
import importlib
import subprocess
from pathlib import Path
def test_importable_all() -> None:
for path in Path("../core/langchain_core/").glob("*"):
module_name = path.stem
if (
not module_name.startswith(".")
and path.suffix != ".typed"
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/test_globals.py | libs/core/tests/unit_tests/test_globals.py | import langchain_core
from langchain_core.callbacks.manager import _get_debug
from langchain_core.globals import get_debug, set_debug
def test_debug_is_settable_via_setter() -> None:
previous_value = langchain_core.globals._debug
previous_fn_reading = _get_debug()
assert previous_value == previous_fn_read... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/_api/test_deprecation.py | libs/core/tests/unit_tests/_api/test_deprecation.py | import inspect
import warnings
from typing import Any
import pytest
from pydantic import BaseModel
from langchain_core._api.deprecation import (
deprecated,
rename_parameter,
warn_deprecated,
)
@pytest.mark.parametrize(
("kwargs", "expected_message"),
[
(
{
"s... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/_api/test_path.py | libs/core/tests/unit_tests/_api/test_path.py | from pathlib import Path
from langchain_core._api import path
HERE = Path(__file__).parent
ROOT = HERE.parent.parent.parent
def test_as_import_path() -> None:
"""Test that the path is converted to a LangChain import path."""
# Verify that default paths are correct
# if editable install, check director... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/_api/test_beta_decorator.py | libs/core/tests/unit_tests/_api/test_beta_decorator.py | import inspect
import warnings
from typing import Any
import pytest
from pydantic import BaseModel
from langchain_core._api.beta_decorator import beta, warn_beta
@pytest.mark.parametrize(
("kwargs", "expected_message"),
[
(
{
"name": "OldClass",
"obj_type"... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/_api/__init__.py | libs/core/tests/unit_tests/_api/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/_api/test_imports.py | libs/core/tests/unit_tests/_api/test_imports.py | from langchain_core._api import __all__
EXPECTED_ALL = [
"beta",
"deprecated",
"LangChainBetaWarning",
"LangChainDeprecationWarning",
"suppress_langchain_beta_warning",
"surface_langchain_beta_warnings",
"suppress_langchain_deprecation_warning",
"surface_langchain_deprecation_warnings",... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/language_models/__init__.py | libs/core/tests/unit_tests/language_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/core/tests/unit_tests/language_models/test_imports.py | libs/core/tests/unit_tests/language_models/test_imports.py | from langchain_core.language_models import __all__
EXPECTED_ALL = [
"BaseLanguageModel",
"BaseChatModel",
"SimpleChatModel",
"BaseLLM",
"LLM",
"LangSmithParams",
"LanguageModelInput",
"LanguageModelOutput",
"LanguageModelLike",
"get_tokenizer",
"LanguageModelLike",
"Fake... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/language_models/chat_models/test_rate_limiting.py | libs/core/tests/unit_tests/language_models/chat_models/test_rate_limiting.py | import time
import pytest
from blockbuster import BlockBuster
from langchain_core.caches import InMemoryCache
from langchain_core.language_models import GenericFakeChatModel
from langchain_core.load import dumps
from langchain_core.rate_limiters import InMemoryRateLimiter
@pytest.fixture(autouse=True)
def deactivat... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/language_models/chat_models/test_base.py | libs/core/tests/unit_tests/language_models/chat_models/test_base.py | """Test base chat model."""
import uuid
import warnings
from collections.abc import AsyncIterator, Iterator
from typing import TYPE_CHECKING, Any, Literal
import pytest
from typing_extensions import override
from langchain_core.callbacks import (
CallbackManagerForLLMRun,
)
from langchain_core.language_models im... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/language_models/chat_models/test_cache.py | libs/core/tests/unit_tests/language_models/chat_models/test_cache.py | """Module tests interaction of chat model with caching abstraction.."""
from typing import Any
import pytest
from typing_extensions import override
from langchain_core.caches import RETURN_VAL_TYPE, BaseCache
from langchain_core.globals import set_llm_cache
from langchain_core.language_models.chat_models import _cle... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/language_models/chat_models/__init__.py | libs/core/tests/unit_tests/language_models/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/core/tests/unit_tests/language_models/chat_models/test_benchmark.py | libs/core/tests/unit_tests/language_models/chat_models/test_benchmark.py | import time
from itertools import cycle
from langchain_core.language_models import GenericFakeChatModel
def test_benchmark_model() -> None:
"""Add rate limiter."""
tic = time.time()
model = GenericFakeChatModel(
messages=cycle(["hello", "world", "!"]),
)
for _ in range(1_000):
m... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/language_models/llms/test_base.py | libs/core/tests/unit_tests/language_models/llms/test_base.py | from collections.abc import AsyncIterator, Iterator
from typing import Any
import pytest
from typing_extensions import override
from langchain_core.callbacks import (
AsyncCallbackManagerForLLMRun,
CallbackManagerForLLMRun,
)
from langchain_core.language_models import (
LLM,
BaseLLM,
FakeListLLM,
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/language_models/llms/test_cache.py | libs/core/tests/unit_tests/language_models/llms/test_cache.py | from typing import Any
from typing_extensions import override
from langchain_core.caches import RETURN_VAL_TYPE, BaseCache
from langchain_core.globals import set_llm_cache
from langchain_core.language_models import FakeListLLM
class InMemoryCache(BaseCache):
"""In-memory cache used for testing purposes."""
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/language_models/llms/__init__.py | libs/core/tests/unit_tests/language_models/llms/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/example_selectors/test_similarity.py | libs/core/tests/unit_tests/example_selectors/test_similarity.py | from collections.abc import Iterable
from typing import Any
from typing_extensions import override
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings, FakeEmbeddings
from langchain_core.example_selectors import (
MaxMarginalRelevanceExampleSelector,
SemanticSimilari... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/example_selectors/test_base.py | libs/core/tests/unit_tests/example_selectors/test_base.py | from typing_extensions import override
from langchain_core.example_selectors import BaseExampleSelector
class DummyExampleSelector(BaseExampleSelector):
def __init__(self) -> None:
self.example: dict[str, str] | None = None
def add_example(self, example: dict[str, str]) -> None:
self.example... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/example_selectors/__init__.py | libs/core/tests/unit_tests/example_selectors/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/example_selectors/test_length_based_example_selector.py | libs/core/tests/unit_tests/example_selectors/test_length_based_example_selector.py | """Test functionality related to length based selector."""
import pytest
from langchain_core.example_selectors import (
LengthBasedExampleSelector,
)
from langchain_core.prompts import PromptTemplate
EXAMPLES = [
{"question": "Question: who are you?\nAnswer: foo"},
{"question": "Question: who are you?\nA... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/example_selectors/test_imports.py | libs/core/tests/unit_tests/example_selectors/test_imports.py | from langchain_core.example_selectors import __all__
EXPECTED_ALL = [
"BaseExampleSelector",
"LengthBasedExampleSelector",
"MaxMarginalRelevanceExampleSelector",
"SemanticSimilarityExampleSelector",
"sorted_values",
]
def test_all_imports() -> None:
assert set(__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/core/tests/unit_tests/vectorstores/test_utils.py | 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... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/vectorstores/test_vectorstore.py | libs/core/tests/unit_tests/vectorstores/test_vectorstore.py | """Set of tests that complement the standard tests for vectorstore.
These tests verify that the base abstraction does appropriate delegation to
the relevant methods.
"""
from __future__ import annotations
import uuid
from typing import TYPE_CHECKING, Any
import pytest
from typing_extensions import override
from la... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/vectorstores/test_in_memory.py | libs/core/tests/unit_tests/vectorstores/test_in_memory.py | from pathlib import Path
from unittest.mock import AsyncMock, Mock
import pytest
from langchain_tests.integration_tests.vectorstores import VectorStoreIntegrationTests
from langchain_core.documents import Document
from langchain_core.embeddings.fake import DeterministicFakeEmbedding
from langchain_core.vectorstores i... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/vectorstores/__init__.py | libs/core/tests/unit_tests/vectorstores/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/outputs/test_chat_generation.py | libs/core/tests/unit_tests/outputs/test_chat_generation.py | from typing import Any
import pytest
from langchain_core.messages import AIMessage
from langchain_core.outputs import ChatGeneration
@pytest.mark.parametrize(
"content",
[
"foo",
["foo"],
[{"text": "foo", "type": "text"}],
[
{"tool_use": {}, "type": "tool_use"},
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/outputs/__init__.py | libs/core/tests/unit_tests/outputs/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/outputs/test_imports.py | libs/core/tests/unit_tests/outputs/test_imports.py | from langchain_core.outputs import __all__
EXPECTED_ALL = [
"ChatGeneration",
"ChatGenerationChunk",
"ChatResult",
"Generation",
"GenerationChunk",
"LLMResult",
"RunInfo",
]
def test_all_imports() -> None:
assert set(__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/core/tests/unit_tests/tracers/test_automatic_metadata.py | libs/core/tests/unit_tests/tracers/test_automatic_metadata.py | """Test automatic tool call count storage in tracers."""
from __future__ import annotations
from unittest.mock import MagicMock
from langchain_core.messages import AIMessage
from langchain_core.messages.tool import ToolCall
from langchain_core.outputs import ChatGeneration, LLMResult
from langchain_core.tracers.core... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/tracers/test_schemas.py | libs/core/tests/unit_tests/tracers/test_schemas.py | from langchain_core.tracers import schemas
from langchain_core.tracers.schemas import __all__ as schemas_all
def test_public_api() -> None:
"""Test for changes in the public API."""
expected_all = [
"Run",
]
assert sorted(schemas_all) == expected_all
# Assert that the object is actually ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/tracers/test_base_tracer.py | libs/core/tests/unit_tests/tracers/test_base_tracer.py | """Test Tracer classes."""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
from unittest.mock import MagicMock
from uuid import uuid4
import langsmith
import pytest
from freezegun import freeze_time
from langsmith import Client, traceable
from langchain_core.callbac... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/tracers/test_memory_stream.py | libs/core/tests/unit_tests/tracers/test_memory_stream.py | import asyncio
import math
import time
from collections.abc import AsyncIterator
from langchain_core.tracers.memory_stream import _MemoryStream
async def test_same_event_loop() -> None:
"""Test that the memory stream works when the same event loop is used.
This is the easy case.
"""
reader_loop = as... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/tracers/__init__.py | libs/core/tests/unit_tests/tracers/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/tracers/test_langchain.py | libs/core/tests/unit_tests/tracers/test_langchain.py | import threading
import time
import unittest.mock
import uuid
from typing import Any
from uuid import UUID
import pytest
from langsmith import Client
from langsmith.run_trees import RunTree
from langsmith.utils import get_env_var, get_tracer_project
from langchain_core.outputs import LLMResult
from langchain_core.tra... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/tracers/test_run_collector.py | libs/core/tests/unit_tests/tracers/test_run_collector.py | """Test the run collector."""
import uuid
from langchain_core.language_models import FakeListLLM
from langchain_core.tracers.context import collect_runs
def test_collect_runs() -> None:
model = FakeListLLM(responses=["hello"])
with collect_runs() as cb:
model.invoke("hi")
assert cb.traced_ru... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/tracers/test_imports.py | libs/core/tests/unit_tests/tracers/test_imports.py | from langchain_core.tracers import __all__
EXPECTED_ALL = [
"BaseTracer",
"ConsoleCallbackHandler",
"EvaluatorCallbackHandler",
"LangChainTracer",
"LogStreamCallbackHandler",
"Run",
"RunLog",
"RunLogPatch",
]
def test_all_imports() -> None:
assert set(__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/core/tests/unit_tests/tracers/test_async_base_tracer.py | libs/core/tests/unit_tests/tracers/test_async_base_tracer.py | """Test Tracer classes."""
from __future__ import annotations
from datetime import datetime, timezone
from typing import Any
from uuid import uuid4
import pytest
from freezegun import freeze_time
from langchain_core.callbacks import AsyncCallbackManager
from langchain_core.exceptions import TracerException
from lan... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/chat_history/test_chat_history.py | libs/core/tests/unit_tests/chat_history/test_chat_history.py | from collections.abc import Sequence
from langchain_core.chat_history import BaseChatMessageHistory
from langchain_core.messages import BaseMessage, HumanMessage
def test_add_message_implementation_only() -> None:
"""Test implementation of add_message only."""
class SampleChatHistory(BaseChatMessageHistory)... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/chat_history/__init__.py | libs/core/tests/unit_tests/chat_history/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/document_loaders/test_langsmith.py | libs/core/tests/unit_tests/document_loaders/test_langsmith.py | import datetime
import uuid
from unittest.mock import MagicMock, patch
from langsmith.schemas import Example
from langchain_core.document_loaders import LangSmithLoader
from langchain_core.documents import Document
from langchain_core.tracers._compat import pydantic_to_dict
def test_init() -> None:
LangSmithLoa... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/document_loaders/test_base.py | libs/core/tests/unit_tests/document_loaders/test_base.py | """Test Base Schema of documents."""
from collections.abc import Iterator
import pytest
from typing_extensions import override
from langchain_core.document_loaders.base import BaseBlobParser, BaseLoader
from langchain_core.documents import Document
from langchain_core.documents.base import Blob
def test_base_blob_... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/document_loaders/__init__.py | libs/core/tests/unit_tests/document_loaders/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/core/tests/unit_tests/messages/test_utils.py | libs/core/tests/unit_tests/messages/test_utils.py | import base64
import json
import re
from collections.abc import Callable, Sequence
from typing import Any, TypedDict
import pytest
from typing_extensions import NotRequired, override
from langchain_core.language_models.fake_chat_models import FakeChatModel
from langchain_core.messages import (
AIMessage,
Base... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
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