repo stringlengths 7 90 | file_url stringlengths 81 315 | file_path stringlengths 4 228 | content stringlengths 0 32.8k | language stringclasses 1
value | license stringclasses 7
values | commit_sha stringlengths 40 40 | retrieved_at stringdate 2026-01-04 14:38:15 2026-01-05 02:33:18 | truncated bool 2
classes |
|---|---|---|---|---|---|---|---|---|
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/schema/runnable/__init__.py | libs/langchain/langchain_classic/schema/runnable/__init__.py | """LangChain **Runnable** and the **LangChain Expression Language (LCEL)**.
The LangChain Expression Language (LCEL) offers a declarative method to build
production-grade programs that harness the power of LLMs.
Programs created using LCEL and LangChain Runnables inherently support
synchronous, asynchronous, batch, a... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/schema/runnable/configurable.py | libs/langchain/langchain_classic/schema/runnable/configurable.py | from langchain_core.runnables.configurable import (
DynamicRunnable,
RunnableConfigurableAlternatives,
RunnableConfigurableFields,
StrEnum,
make_options_spec,
)
__all__ = [
"DynamicRunnable",
"RunnableConfigurableAlternatives",
"RunnableConfigurableFields",
"StrEnum",
"make_opti... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/schema/runnable/base.py | libs/langchain/langchain_classic/schema/runnable/base.py | from langchain_core.runnables.base import (
Other,
Runnable,
RunnableBinding,
RunnableBindingBase,
RunnableEach,
RunnableEachBase,
RunnableGenerator,
RunnableLambda,
RunnableLike,
RunnableParallel,
RunnableSequence,
RunnableSerializable,
coerce_to_runnable,
)
from lan... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/schema/runnable/fallbacks.py | libs/langchain/langchain_classic/schema/runnable/fallbacks.py | from langchain_core.runnables.fallbacks import RunnableWithFallbacks
__all__ = ["RunnableWithFallbacks"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/graph.py | libs/langchain/langchain_classic/indexes/graph.py | """**Graphs** provide a natural language interface to graph databases."""
from typing import TYPE_CHECKING, Any
from langchain_classic._api import create_importer
if TYPE_CHECKING:
from langchain_community.graphs.index_creator import GraphIndexCreator
from langchain_community.graphs.networkx_graph import Net... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/vectorstore.py | libs/langchain/langchain_classic/indexes/vectorstore.py | """Vectorstore stubs for the indexing api."""
from typing import Any
from langchain_core.document_loaders import BaseLoader
from langchain_core.documents import Document
from langchain_core.embeddings import Embeddings
from langchain_core.language_models import BaseLanguageModel
from langchain_core.vectorstores impor... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/_sql_record_manager.py | libs/langchain/langchain_classic/indexes/_sql_record_manager.py | """Implementation of a record management layer in SQLAlchemy.
The management layer uses SQLAlchemy to track upserted records.
Currently, this layer only works with SQLite; hopwever, should be adaptable
to other SQL implementations with minimal effort.
Currently, includes an implementation that uses SQLAlchemy which ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/_api.py | libs/langchain/langchain_classic/indexes/_api.py | from langchain_core.indexing.api import _abatch, _batch, _HashedDocument
# Please do not use these in your application. These are private APIs.
# Here to avoid changing unit tests during a migration.
__all__ = ["_HashedDocument", "_abatch", "_batch"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/__init__.py | libs/langchain/langchain_classic/indexes/__init__.py | """**Indexes**.
**Index** is used to avoid writing duplicated content
into the vectostore and to avoid over-writing content if it's unchanged.
Indexes also :
* Create knowledge graphs from data.
* Support indexing workflows from LangChain data loaders to vectorstores.
Importantly, Index keeps on working even if th... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/prompts/knowledge_triplet_extraction.py | libs/langchain/langchain_classic/indexes/prompts/knowledge_triplet_extraction.py | from langchain_core.prompts.prompt import PromptTemplate
KG_TRIPLE_DELIMITER = "<|>"
_DEFAULT_KNOWLEDGE_TRIPLE_EXTRACTION_TEMPLATE = (
"You are a networked intelligence helping a human track knowledge triples"
" about all relevant people, things, concepts, etc. and integrating"
" them with your knowledge ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/prompts/entity_summarization.py | libs/langchain/langchain_classic/indexes/prompts/entity_summarization.py | from langchain_core.prompts.prompt import PromptTemplate
_DEFAULT_ENTITY_SUMMARIZATION_TEMPLATE = """You are an AI assistant helping a human keep track of facts about relevant people, places, and concepts in their life. Update the summary of the provided entity in the "Entity" section based on the last line of your co... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/prompts/__init__.py | libs/langchain/langchain_classic/indexes/prompts/__init__.py | """Relevant prompts for constructing indexes."""
from langchain_core._api import warn_deprecated
warn_deprecated(
since="0.1.47",
message=(
"langchain.indexes.prompts will be removed in the future."
"If you're relying on these prompts, please open an issue on "
"GitHub to explain your ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/indexes/prompts/entity_extraction.py | libs/langchain/langchain_classic/indexes/prompts/entity_extraction.py | from langchain_core.prompts.prompt import PromptTemplate
_DEFAULT_ENTITY_EXTRACTION_TEMPLATE = """You are an AI assistant reading the transcript of a conversation between an AI and a human. Extract all of the proper nouns from the last line of conversation. As a guideline, a proper noun is generally capitalized. You s... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/smith/__init__.py | libs/langchain/langchain_classic/smith/__init__.py | """**LangSmith** utilities.
This module provides utilities for connecting to
[LangSmith](https://docs.langchain.com/langsmith/home).
**Evaluation**
LangSmith helps you evaluate Chains and other language model application components
using a number of LangChain evaluators.
An example of this is shown below, assuming y... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/smith/evaluation/runner_utils.py | libs/langchain/langchain_classic/smith/evaluation/runner_utils.py | """Utilities for running language models or Chains over datasets."""
from __future__ import annotations
import concurrent.futures
import dataclasses
import functools
import inspect
import logging
import uuid
from collections.abc import Callable
from datetime import datetime, timezone
from typing import (
TYPE_CHE... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | true |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/smith/evaluation/string_run_evaluator.py | libs/langchain/langchain_classic/smith/evaluation/string_run_evaluator.py | """Run evaluator wrapper for string evaluators."""
from __future__ import annotations
import logging
import uuid
from abc import abstractmethod
from typing import Any, cast
from langchain_core.callbacks.manager import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain_core.load.d... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/smith/evaluation/name_generation.py | libs/langchain/langchain_classic/smith/evaluation/name_generation.py | import random
adjectives = [
"abandoned",
"aching",
"advanced",
"ample",
"artistic",
"back",
"best",
"bold",
"brief",
"clear",
"cold",
"complicated",
"cooked",
"crazy",
"crushing",
"damp",
"dear",
"definite",
"dependable",
"diligent",
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/smith/evaluation/config.py | libs/langchain/langchain_classic/smith/evaluation/config.py | """Configuration for run evaluators."""
from collections.abc import Callable, Sequence
from typing import Any
from langchain_core.embeddings import Embeddings
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langsmith import RunEvaluator
from lang... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/smith/evaluation/progress.py | libs/langchain/langchain_classic/smith/evaluation/progress.py | """A simple progress bar for the console."""
import threading
from collections.abc import Sequence
from typing import Any
from uuid import UUID
from langchain_core.callbacks import base as base_callbacks
from langchain_core.documents import Document
from langchain_core.outputs import LLMResult
from typing_extensions ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/smith/evaluation/__init__.py | libs/langchain/langchain_classic/smith/evaluation/__init__.py | """LangSmith evaluation utilities.
This module provides utilities for evaluating Chains and other language model
applications using LangChain evaluators and LangSmith.
For more information on the LangSmith API, see the
[LangSmith API documentation](https://docs.langchain.com/langsmith/home).
**Example**
```python
f... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_requests.py | libs/langchain/langchain_classic/chains/llm_requests.py | from typing import TYPE_CHECKING, Any
from langchain_classic._api import create_importer
if TYPE_CHECKING:
from langchain_community.chains.llm_requests import LLMRequestsChain
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling opt... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/moderation.py | libs/langchain/langchain_classic/chains/moderation.py | """Pass input through a moderation endpoint."""
from typing import Any
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain_core.utils import check_package_version, get_from_dict_or_env
from pydantic import Field, model_validator
from typing_exte... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/mapreduce.py | libs/langchain/langchain_classic/chains/mapreduce.py | """Map-reduce chain.
Splits up a document, sends the smaller parts to the LLM with one prompt,
then combines the results with another one.
"""
from __future__ import annotations
from collections.abc import Mapping
from typing import Any
from langchain_core._api import deprecated
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/langchain/langchain_classic/chains/transform.py | libs/langchain/langchain_classic/chains/transform.py | """Chain that runs an arbitrary python function."""
import functools
import logging
from collections.abc import Awaitable, Callable
from typing import Any
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from pydantic import Field
from typing_extensions imp... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm.py | libs/langchain/langchain_classic/chains/llm.py | """Chain that just formats a prompt and calls an LLM."""
from __future__ import annotations
import warnings
from collections.abc import Sequence
from typing import Any, cast
from langchain_core._api import deprecated
from langchain_core.callbacks import (
AsyncCallbackManager,
AsyncCallbackManagerForChainRun... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/retrieval.py | libs/langchain/langchain_classic/chains/retrieval.py | from __future__ import annotations
from typing import Any
from langchain_core.retrievers import (
BaseRetriever,
RetrieverOutput,
)
from langchain_core.runnables import Runnable, RunnablePassthrough
def create_retrieval_chain(
retriever: BaseRetriever | Runnable[dict, RetrieverOutput],
combine_docs_... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/loading.py | libs/langchain/langchain_classic/chains/loading.py | """Functionality for loading chains."""
from __future__ import annotations
import json
from pathlib import Path
from typing import TYPE_CHECKING, Any
import yaml
from langchain_core._api import deprecated
from langchain_core.prompts.loading import (
_load_output_parser,
load_prompt,
load_prompt_from_conf... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/prompt_selector.py | libs/langchain/langchain_classic/chains/prompt_selector.py | from abc import ABC, abstractmethod
from collections.abc import Callable
from langchain_core.language_models import BaseLanguageModel
from langchain_core.language_models.chat_models import BaseChatModel
from langchain_core.language_models.llms import BaseLLM
from langchain_core.prompts import BasePromptTemplate
from p... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/example_generator.py | libs/langchain/langchain_classic/chains/example_generator.py | from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts.few_shot import FewShotPromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
TEST_GEN_TEMPLATE_SUFFIX = "Add another example."
def generate_example(
... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/history_aware_retriever.py | libs/langchain/langchain_classic/chains/history_aware_retriever.py | from __future__ import annotations
from langchain_core.language_models import LanguageModelLike
from langchain_core.output_parsers import StrOutputParser
from langchain_core.prompts import BasePromptTemplate
from langchain_core.retrievers import RetrieverLike, RetrieverOutputLike
from langchain_core.runnables import R... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/__init__.py | libs/langchain/langchain_classic/chains/__init__.py | """**Chains** are easily reusable components linked together.
Chains encode a sequence of calls to components like models, document retrievers,
other Chains, etc., and provide a simple interface to this sequence.
The Chain interface makes it easy to create apps that are:
- **Stateful:** add Memory to any Chain t... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/sequential.py | libs/langchain/langchain_classic/chains/sequential.py | """Chain pipeline where the outputs of one step feed directly into next."""
from typing import Any
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain_core.utils.input import get_color_mapping
from pydantic import ConfigDict, model_validator
fro... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/base.py | libs/langchain/langchain_classic/chains/base.py | """Base interface that all chains should implement."""
import builtins
import contextlib
import inspect
import json
import logging
import warnings
from abc import ABC, abstractmethod
from pathlib import Path
from typing import Any, cast
import yaml
from langchain_core._api import deprecated
from langchain_core.callba... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_symbolic_math/__init__.py | libs/langchain/langchain_classic/chains/llm_symbolic_math/__init__.py | def __getattr__(_: str = "") -> None:
"""Raise an error on import since is deprecated."""
msg = (
"This module has been moved to langchain-experimental. "
"For more details: https://github.com/langchain-ai/langchain/discussions/11352."
"To access this code, install it with `pip install l... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_generation/prompt.py | libs/langchain/langchain_classic/chains/qa_generation/prompt.py | from langchain_core.prompts.chat import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain_core.prompts.prompt import PromptTemplate
from langchain_classic.chains.prompt_selector import (
ConditionalPromptSelector,
is_chat_model,
)
templ1 = """You are a... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_generation/__init__.py | libs/langchain/langchain_classic/chains/qa_generation/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_generation/base.py | libs/langchain/langchain_classic/chains/qa_generation/base.py | from __future__ import annotations
import json
from typing import Any
from langchain_core._api import deprecated
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain_text_splitt... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/elasticsearch_database/prompts.py | libs/langchain/langchain_classic/chains/elasticsearch_database/prompts.py | from langchain_core.prompts.prompt import PromptTemplate
PROMPT_SUFFIX = """Only use the following Elasticsearch indices:
{indices_info}
Question: {input}
ESQuery:"""
DEFAULT_DSL_TEMPLATE = """Given an input question, create a syntactically correct Elasticsearch query to run. Unless the user specifies in their quest... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/elasticsearch_database/__init__.py | libs/langchain/langchain_classic/chains/elasticsearch_database/__init__.py | from langchain_classic.chains.elasticsearch_database.base import (
ElasticsearchDatabaseChain,
)
__all__ = ["ElasticsearchDatabaseChain"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/elasticsearch_database/base.py | libs/langchain/langchain_classic/chains/elasticsearch_database/base.py | """Chain for interacting with Elasticsearch Database."""
from __future__ import annotations
from typing import TYPE_CHECKING, Any
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import BaseOutputParser, St... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/chat_vector_db/prompts.py | libs/langchain/langchain_classic/chains/chat_vector_db/prompts.py | from langchain_core.prompts.prompt import PromptTemplate
_template = """Given the following conversation and a follow up question, rephrase the follow up question to be a standalone question.
Chat History:
{chat_history}
Follow Up Input: {question}
Standalone question:""" # noqa: E501
CONDENSE_QUESTION_PROMPT = Prom... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/chat_vector_db/__init__.py | libs/langchain/langchain_classic/chains/chat_vector_db/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/hyde/prompts.py | libs/langchain/langchain_classic/chains/hyde/prompts.py | from langchain_core.prompts.prompt import PromptTemplate
web_search_template = """Please write a passage to answer the question
Question: {QUESTION}
Passage:"""
web_search = PromptTemplate(template=web_search_template, input_variables=["QUESTION"])
sci_fact_template = """Please write a scientific paper passage to supp... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/hyde/__init__.py | libs/langchain/langchain_classic/chains/hyde/__init__.py | """Hypothetical Document Embeddings.
https://arxiv.org/abs/2212.10496
"""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/hyde/base.py | libs/langchain/langchain_classic/chains/hyde/base.py | """Hypothetical Document Embeddings.
https://arxiv.org/abs/2212.10496
"""
from __future__ import annotations
import logging
from typing import Any
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.embeddings import Embeddings
from langchain_core.language_models import BaseLanguageM... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/summarize/chain.py | libs/langchain/langchain_classic/chains/summarize/chain.py | """Load summarizing chains."""
from collections.abc import Mapping
from typing import Any, Protocol
from langchain_core.callbacks import Callbacks
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
from langchain_classic.chains.combine_documents.base im... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/summarize/map_reduce_prompt.py | libs/langchain/langchain_classic/chains/summarize/map_reduce_prompt.py | from langchain_core.prompts import PromptTemplate
prompt_template = """Write a concise summary of the following:
"{text}"
CONCISE SUMMARY:"""
PROMPT = PromptTemplate(template=prompt_template, input_variables=["text"])
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/summarize/__init__.py | libs/langchain/langchain_classic/chains/summarize/__init__.py | from langchain_classic.chains.summarize.chain import (
LoadingCallable,
load_summarize_chain,
)
__all__ = ["LoadingCallable", "load_summarize_chain"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/summarize/refine_prompts.py | libs/langchain/langchain_classic/chains/summarize/refine_prompts.py | from langchain_core.prompts import PromptTemplate
REFINE_PROMPT_TMPL = """\
Your job is to produce a final summary.
We have provided an existing summary up to a certain point: {existing_answer}
We have the opportunity to refine the existing summary (only if needed) with some more context below.
------------
{text}
---... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/summarize/stuff_prompt.py | libs/langchain/langchain_classic/chains/summarize/stuff_prompt.py | from langchain_core.prompts import PromptTemplate
prompt_template = """Write a concise summary of the following:
"{text}"
CONCISE SUMMARY:"""
PROMPT = PromptTemplate(template=prompt_template, input_variables=["text"])
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/constitutional_ai/prompts.py | libs/langchain/langchain_classic/chains/constitutional_ai/prompts.py | from langchain_core.prompts.few_shot import FewShotPromptTemplate
from langchain_core.prompts.prompt import PromptTemplate
critique_example = PromptTemplate(
template="""Human: {input_prompt}
Model: {output_from_model}
Critique Request: {critique_request}
Critique: {critique}""",
input_variables=[
"... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/constitutional_ai/models.py | libs/langchain/langchain_classic/chains/constitutional_ai/models.py | """Models for the Constitutional AI chain."""
from pydantic import BaseModel
class ConstitutionalPrinciple(BaseModel):
"""Class for a constitutional principle."""
critique_request: str
revision_request: str
name: str = "Constitutional Principle"
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/constitutional_ai/principles.py | libs/langchain/langchain_classic/chains/constitutional_ai/principles.py | """Constitutional principles.
Constitutional principles from https://arxiv.org/pdf/2212.08073.pdf (Bai et al. 2022)
UnifiedObjectives v0.2 principles ("uo-*") adapted from https://examine.dev/docs/Unified_objectives.pdf (Samwald et al. 2023).
"""
from langchain_classic.chains.constitutional_ai.models import Constitut... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/constitutional_ai/__init__.py | libs/langchain/langchain_classic/chains/constitutional_ai/__init__.py | """Constitutional AI.
The Chain runs self-critique based on the Constitutional AI method proposed by
(Bai et al., 2022).
"""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/constitutional_ai/base.py | libs/langchain/langchain_classic/chains/constitutional_ai/base.py | """Chain for applying constitutional principles to the outputs of another chain."""
from typing import Any
from langchain_core._api import deprecated
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BaseProm... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/openai_functions/extraction.py | libs/langchain/langchain_classic/chains/openai_functions/extraction.py | from typing import Any
from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers.openai_functions import (
JsonKeyOutputFunctionsParser,
PydanticAttrOutputFunctionsParser,
)
from langchain_core.prompts import BasePromptTemplate, C... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/openai_functions/qa_with_structure.py | libs/langchain/langchain_classic/chains/openai_functions/qa_with_structure.py | from typing import Any, cast
from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.messages import HumanMessage, SystemMessage
from langchain_core.output_parsers import BaseLLMOutputParser
from langchain_core.output_parsers.openai_functions import (... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/openai_functions/citation_fuzzy_match.py | libs/langchain/langchain_classic/chains/openai_functions/citation_fuzzy_match.py | from collections.abc import Iterator
from langchain_core._api import deprecated
from langchain_core.language_models import BaseChatModel, BaseLanguageModel
from langchain_core.messages import HumanMessage, SystemMessage
from langchain_core.output_parsers.openai_functions import PydanticOutputFunctionsParser
from langc... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/openai_functions/utils.py | libs/langchain/langchain_classic/chains/openai_functions/utils.py | from typing import Any
def _resolve_schema_references(schema: Any, definitions: dict[str, Any]) -> Any:
"""Resolve the $ref keys in a JSON schema object using the provided definitions."""
if isinstance(schema, list):
for i, item in enumerate(schema):
schema[i] = _resolve_schema_references(... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/openai_functions/__init__.py | libs/langchain/langchain_classic/chains/openai_functions/__init__.py | from langchain_core.utils.function_calling import convert_to_openai_function
from langchain_classic.chains.openai_functions.base import (
create_openai_fn_chain,
create_structured_output_chain,
)
from langchain_classic.chains.openai_functions.citation_fuzzy_match import (
create_citation_fuzzy_match_chain,... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/openai_functions/tagging.py | libs/langchain/langchain_classic/chains/openai_functions/tagging.py | from typing import Any
from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers.openai_functions import (
JsonOutputFunctionsParser,
PydanticOutputFunctionsParser,
)
from langchain_core.prompts import ChatPromptTemplate
from lan... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/openai_functions/base.py | libs/langchain/langchain_classic/chains/openai_functions/base.py | """Methods for creating chains that use OpenAI function-calling APIs."""
from collections.abc import Callable, Sequence
from typing import (
Any,
)
from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.output_parsers import (
BaseLLMOutputP... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/openai_functions/openapi.py | libs/langchain/langchain_classic/chains/openai_functions/openapi.py | from __future__ import annotations
import json
import logging
import re
from collections import defaultdict
from collections.abc import Callable
from typing import TYPE_CHECKING, Any
import requests
from langchain_core._api import deprecated
from langchain_core.callbacks import CallbackManagerForChainRun
from langcha... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/structured_output/__init__.py | libs/langchain/langchain_classic/chains/structured_output/__init__.py | from langchain_classic.chains.structured_output.base import (
create_openai_fn_runnable,
create_structured_output_runnable,
)
__all__ = ["create_openai_fn_runnable", "create_structured_output_runnable"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/structured_output/base.py | libs/langchain/langchain_classic/chains/structured_output/base.py | import json
from collections.abc import Callable, Sequence
from typing import Any, Literal
from langchain_core._api import deprecated
from langchain_core.output_parsers import (
BaseGenerationOutputParser,
BaseOutputParser,
JsonOutputParser,
PydanticOutputParser,
)
from langchain_core.output_parsers.op... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/question_answering/chain.py | libs/langchain/langchain_classic/chains/question_answering/chain.py | """Load question answering chains."""
from collections.abc import Mapping
from typing import Any, Protocol
from langchain_core._api import deprecated
from langchain_core.callbacks import BaseCallbackManager, Callbacks
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import Base... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/question_answering/map_rerank_prompt.py | libs/langchain/langchain_classic/chains/question_answering/map_rerank_prompt.py | from langchain_core.prompts import PromptTemplate
from langchain_classic.output_parsers.regex import RegexParser
output_parser = RegexParser(
regex=r"(.*?)\nScore: (\d*)",
output_keys=["answer", "score"],
)
prompt_template = """Use the following pieces of context to answer the question at the end. If you don... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/question_answering/map_reduce_prompt.py | libs/langchain/langchain_classic/chains/question_answering/map_reduce_prompt.py | from langchain_core.prompts.chat import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain_core.prompts.prompt import PromptTemplate
from langchain_classic.chains.prompt_selector import (
ConditionalPromptSelector,
is_chat_model,
)
question_prompt_templ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/question_answering/__init__.py | libs/langchain/langchain_classic/chains/question_answering/__init__.py | from langchain_classic.chains.question_answering.chain import (
LoadingCallable,
load_qa_chain,
)
__all__ = [
"LoadingCallable",
"load_qa_chain",
]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/question_answering/refine_prompts.py | libs/langchain/langchain_classic/chains/question_answering/refine_prompts.py | from langchain_core.prompts.chat import (
ChatPromptTemplate,
)
from langchain_core.prompts.prompt import PromptTemplate
from langchain_classic.chains.prompt_selector import (
ConditionalPromptSelector,
is_chat_model,
)
DEFAULT_REFINE_PROMPT_TMPL = (
"The original question is as follows: {question}\n"... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/question_answering/stuff_prompt.py | libs/langchain/langchain_classic/chains/question_answering/stuff_prompt.py | from langchain_core.prompts import PromptTemplate
from langchain_core.prompts.chat import (
ChatPromptTemplate,
HumanMessagePromptTemplate,
SystemMessagePromptTemplate,
)
from langchain_classic.chains.prompt_selector import (
ConditionalPromptSelector,
is_chat_model,
)
prompt_template = """Use the... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_summarization_checker/__init__.py | libs/langchain/langchain_classic/chains/llm_summarization_checker/__init__.py | """Summarization checker chain for verifying accuracy of text generation.
Chain that tries to verify the accuracy of text generation by splitting it into a
list of facts, then checking if those facts are true or not, and rewriting
the text to make it more truthful. It will repeat this loop until it hits `max_tries` or... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_summarization_checker/base.py | libs/langchain/langchain_classic/chains/llm_summarization_checker/base.py | """Chain for summarization with self-verification."""
from __future__ import annotations
import warnings
from pathlib import Path
from typing import Any
from langchain_core._api import deprecated
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageMo... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/tmdb_docs.py | libs/langchain/langchain_classic/chains/api/tmdb_docs.py | TMDB_DOCS = """API documentation:
Endpoint: https://api.themoviedb.org/3
GET /search/movie
This API is for searching movies.
Query parameters table:
language | string | Pass a ISO 639-1 value to display translated data for the fields that support it. minLength: 2, pattern: ([a-z]{2})-([A-Z]{2}), default: en-US | opti... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/news_docs.py | libs/langchain/langchain_classic/chains/api/news_docs.py | NEWS_DOCS = """API documentation:
Endpoint: https://newsapi.org
Top headlines /v2/top-headlines
This endpoint provides live top and breaking headlines for a country, specific category in a country, single source, or multiple sources. You can also search with keywords. Articles are sorted by the earliest date published... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/open_meteo_docs.py | libs/langchain/langchain_classic/chains/api/open_meteo_docs.py | OPEN_METEO_DOCS = """BASE URL: https://api.open-meteo.com/
API Documentation
The API endpoint /v1/forecast accepts a geographical coordinate, a list of weather variables and responds with a JSON hourly weather forecast for 7 days. Time always starts at 0:00 today and contains 168 hours. All URL parameters are listed b... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/prompt.py | libs/langchain/langchain_classic/chains/api/prompt.py | from langchain_core.prompts.prompt import PromptTemplate
API_URL_PROMPT_TEMPLATE = """You are given the below API Documentation:
{api_docs}
Using this documentation, generate the full API url to call for answering the user question.
You should build the API url in order to get a response that is as short as possible, ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/__init__.py | libs/langchain/langchain_classic/chains/api/__init__.py | """Chain that makes API calls and summarizes the responses to answer a question."""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/podcast_docs.py | libs/langchain/langchain_classic/chains/api/podcast_docs.py | PODCAST_DOCS = """API documentation:
Endpoint: https://listen-api.listennotes.com/api/v2
GET /search
This API is for searching podcasts or episodes.
Query parameters table:
q | string | Search term, e.g., person, place, topic... You can use double quotes to do verbatim match, e.g., "game of thrones". Otherwise, it's ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/base.py | libs/langchain/langchain_classic/chains/api/base.py | """Chain that makes API calls and summarizes the responses to answer a question."""
from __future__ import annotations
from collections.abc import Sequence
from typing import Any
from urllib.parse import urlparse
from langchain_core._api import deprecated
from langchain_core.callbacks import (
AsyncCallbackManag... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/openapi/prompts.py | libs/langchain/langchain_classic/chains/api/openapi/prompts.py | from typing import TYPE_CHECKING, Any
from langchain_classic._api import create_importer
if TYPE_CHECKING:
from langchain_community.chains.openapi.prompts import (
REQUEST_TEMPLATE,
RESPONSE_TEMPLATE,
)
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/openapi/chain.py | libs/langchain/langchain_classic/chains/api/openapi/chain.py | from typing import TYPE_CHECKING, Any
from langchain_classic._api import create_importer
if TYPE_CHECKING:
from langchain_community.chains.openapi.chain import OpenAPIEndpointChain
# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handlin... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/openapi/requests_chain.py | libs/langchain/langchain_classic/chains/api/openapi/requests_chain.py | from typing import TYPE_CHECKING, Any
from langchain_classic._api import create_importer
if TYPE_CHECKING:
from langchain_community.chains.openapi.requests_chain import (
REQUEST_TEMPLATE,
APIRequesterChain,
APIRequesterOutputParser,
)
# Create a way to dynamically look up deprecated ... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/openapi/__init__.py | libs/langchain/langchain_classic/chains/api/openapi/__init__.py | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false | |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/api/openapi/response_chain.py | libs/langchain/langchain_classic/chains/api/openapi/response_chain.py | from typing import TYPE_CHECKING, Any
from langchain_classic._api import create_importer
if TYPE_CHECKING:
from langchain_community.chains.openapi.response_chain import (
RESPONSE_TEMPLATE,
APIResponderChain,
APIResponderOutputParser,
)
# Create a way to dynamically look up deprecated... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_bash/__init__.py | libs/langchain/langchain_classic/chains/llm_bash/__init__.py | def __getattr__(_: str = "") -> None:
"""Raise an error on import since is deprecated."""
msg = (
"This module has been moved to langchain-experimental. "
"For more details: https://github.com/langchain-ai/langchain/discussions/11352."
"To access this code, install it with `pip install l... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_with_sources/vector_db.py | libs/langchain/langchain_classic/chains/qa_with_sources/vector_db.py | """Question-answering with sources over a vector database."""
import warnings
from typing import Any
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain_core.documents import Document
from langchain_core.vectorstores import VectorStore
from pyda... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_with_sources/retrieval.py | libs/langchain/langchain_classic/chains/qa_with_sources/retrieval.py | """Question-answering with sources over an index."""
from typing import Any
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainRun,
)
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
from pydantic import Field
from l... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_with_sources/map_reduce_prompt.py | libs/langchain/langchain_classic/chains/qa_with_sources/map_reduce_prompt.py | from langchain_core.prompts import PromptTemplate
question_prompt_template = """Use the following portion of a long document to see if any of the text is relevant to answer the question.
Return any relevant text verbatim.
{context}
Question: {question}
Relevant text, if any:""" # noqa: E501
QUESTION_PROMPT = PromptTe... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_with_sources/loading.py | libs/langchain/langchain_classic/chains/qa_with_sources/loading.py | """Load question answering with sources chains."""
from __future__ import annotations
from collections.abc import Mapping
from typing import Any, Protocol
from langchain_core._api import deprecated
from langchain_core.language_models import BaseLanguageModel
from langchain_core.prompts import BasePromptTemplate
fro... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_with_sources/__init__.py | libs/langchain/langchain_classic/chains/qa_with_sources/__init__.py | """Load question answering with sources chains."""
from langchain_classic.chains.qa_with_sources.loading import load_qa_with_sources_chain
__all__ = ["load_qa_with_sources_chain"]
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_with_sources/refine_prompts.py | libs/langchain/langchain_classic/chains/qa_with_sources/refine_prompts.py | from langchain_core.prompts import PromptTemplate
DEFAULT_REFINE_PROMPT_TMPL = (
"The original question is as follows: {question}\n"
"We have provided an existing answer, including sources: {existing_answer}\n"
"We have the opportunity to refine the existing answer"
"(only if needed) with some more con... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_with_sources/base.py | libs/langchain/langchain_classic/chains/qa_with_sources/base.py | """Question answering with sources over documents."""
from __future__ import annotations
import inspect
import re
from abc import ABC, abstractmethod
from typing import Any
from langchain_core._api import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForCha... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/qa_with_sources/stuff_prompt.py | libs/langchain/langchain_classic/chains/qa_with_sources/stuff_prompt.py | from langchain_core.prompts import PromptTemplate
template = """Given the following extracted parts of a long document and a question, create a final answer with references ("SOURCES").
If you don't know the answer, just say that you don't know. Don't try to make up an answer.
ALWAYS return a "SOURCES" part in your an... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_math/prompt.py | libs/langchain/langchain_classic/chains/llm_math/prompt.py | from langchain_core.prompts.prompt import PromptTemplate
_PROMPT_TEMPLATE = """Translate a math problem into a expression that can be executed using Python's numexpr library. Use the output of running this code to answer the question.
Question: ${{Question with math problem.}}
```text
${{single line mathematical expr... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_math/__init__.py | libs/langchain/langchain_classic/chains/llm_math/__init__.py | """Chain that interprets a prompt and executes python code to do math.
Heavily borrowed from https://replit.com/@amasad/gptpy?v=1#main.py
"""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_math/base.py | libs/langchain/langchain_classic/chains/llm_math/base.py | """Chain that interprets a prompt and executes python code to do math."""
from __future__ import annotations
import math
import re
import warnings
from typing import Any
from langchain_core._api import deprecated
from langchain_core.callbacks import (
AsyncCallbackManagerForChainRun,
CallbackManagerForChainR... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_checker/prompt.py | libs/langchain/langchain_classic/chains/llm_checker/prompt.py | from langchain_core.prompts.prompt import PromptTemplate
_CREATE_DRAFT_ANSWER_TEMPLATE = """{question}\n\n"""
CREATE_DRAFT_ANSWER_PROMPT = PromptTemplate(
input_variables=["question"], template=_CREATE_DRAFT_ANSWER_TEMPLATE
)
_LIST_ASSERTIONS_TEMPLATE = """Here is a statement:
{statement}
Make a bullet point list... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_checker/__init__.py | libs/langchain/langchain_classic/chains/llm_checker/__init__.py | """Chain that tries to verify assumptions before answering a question.
Heavily borrowed from https://github.com/jagilley/fact-checker
"""
| python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
langchain-ai/langchain | https://github.com/langchain-ai/langchain/blob/e5d4acf681784d1ea356c932cf31c1c9723dbafa/libs/langchain/langchain_classic/chains/llm_checker/base.py | libs/langchain/langchain_classic/chains/llm_checker/base.py | """Chain for question-answering with self-verification."""
from __future__ import annotations
import warnings
from typing import Any
from langchain_core._api import deprecated
from langchain_core.callbacks import CallbackManagerForChainRun
from langchain_core.language_models import BaseLanguageModel
from langchain_c... | python | MIT | e5d4acf681784d1ea356c932cf31c1c9723dbafa | 2026-01-04T14:38:15.444279Z | false |
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