index int64 0 0 | repo_id stringclasses 596
values | file_path stringlengths 31 168 | content stringlengths 1 6.2M |
|---|---|---|---|
0 | lc_public_repos/langchain/libs/partners/prompty | lc_public_repos/langchain/libs/partners/prompty/scripts/check_imports.py | import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_faillure = True
print(... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/pinecone/Makefile | .PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_test integration_tests: TEST_FILE = tests/integration_tests/
test tests... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/pinecone/LICENSE | MIT License
Copyright (c) 2023 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, d... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/pinecone/poetry.lock | # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohttp"
version = "3.9.5"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohttp-3.9.5-cp310-cp310-macosx_10_9_universal2.whl",... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/pinecone/README.md | # langchain-pinecone
This package contains the LangChain integration with Pinecone.
## Installation
```bash
pip install -U langchain-pinecone
```
And you should configure credentials by setting the following environment variables:
- `PINECONE_API_KEY`
- `PINECONE_INDEX_NAME`
## Usage
The `PineconeVectorStore` cl... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/pinecone/pyproject.toml | [build-system]
requires = [ "poetry-core>=1.0.0",]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "langchain-pinecone"
version = "0.2.1"
description = "An integration package connecting Pinecone and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
li... |
0 | lc_public_repos/langchain/libs/partners/pinecone | lc_public_repos/langchain/libs/partners/pinecone/langchain_pinecone/_utilities.py | from enum import Enum
from typing import List, Union
import numpy as np
Matrix = Union[List[List[float]], List[np.ndarray], np.ndarray]
class DistanceStrategy(str, Enum):
"""Enumerator of the Distance strategies for calculating distances
between vectors."""
EUCLIDEAN_DISTANCE = "EUCLIDEAN_DISTANCE"
... |
0 | lc_public_repos/langchain/libs/partners/pinecone | lc_public_repos/langchain/libs/partners/pinecone/langchain_pinecone/vectorstores.py | from __future__ import annotations
import logging
import os
import uuid
from typing import (
TYPE_CHECKING,
Any,
Callable,
Iterable,
List,
Optional,
Tuple,
TypeVar,
)
import numpy as np
from langchain_core._api.deprecation import deprecated
from langchain_core.documents import Document... |
0 | lc_public_repos/langchain/libs/partners/pinecone | lc_public_repos/langchain/libs/partners/pinecone/langchain_pinecone/embeddings.py | import logging
from typing import Any, Dict, Iterable, List, Optional
import aiohttp
from langchain_core.embeddings import Embeddings
from langchain_core.utils import secret_from_env
from pinecone import Pinecone as PineconeClient # type: ignore[import-untyped]
from pydantic import (
BaseModel,
ConfigDict,
... |
0 | lc_public_repos/langchain/libs/partners/pinecone | lc_public_repos/langchain/libs/partners/pinecone/langchain_pinecone/__init__.py | from langchain_pinecone.embeddings import PineconeEmbeddings
from langchain_pinecone.vectorstores import Pinecone, PineconeVectorStore
__all__ = [
"PineconeEmbeddings",
"PineconeVectorStore",
"Pinecone",
]
|
0 | lc_public_repos/langchain/libs/partners/pinecone/tests | lc_public_repos/langchain/libs/partners/pinecone/tests/integration_tests/test_vectorstores.py | import os
import time
import uuid
from typing import List
import numpy as np
import pinecone # type: ignore
import pytest # type: ignore[import-not-found]
from langchain_core.documents import Document
from langchain_openai import OpenAIEmbeddings # type: ignore[import-not-found]
from pinecone import PodSpec
from py... |
0 | lc_public_repos/langchain/libs/partners/pinecone/tests | lc_public_repos/langchain/libs/partners/pinecone/tests/integration_tests/test_embeddings.py | import time
import pytest
from langchain_core.documents import Document
from pinecone import Pinecone, ServerlessSpec # type: ignore
from langchain_pinecone import PineconeEmbeddings, PineconeVectorStore
DIMENSION = 1024
INDEX_NAME = "langchain-pinecone-embeddings"
MODEL = "multilingual-e5-large"
@pytest.fixture(... |
0 | lc_public_repos/langchain/libs/partners/pinecone/tests | lc_public_repos/langchain/libs/partners/pinecone/tests/integration_tests/test_compile.py | import pytest # type: ignore[import-not-found]
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/partners/pinecone/tests | lc_public_repos/langchain/libs/partners/pinecone/tests/unit_tests/test_vectorstores.py | from unittest.mock import Mock
from langchain_pinecone.vectorstores import Pinecone, PineconeVectorStore
def test_initialization() -> None:
"""Test integration vectorstore initialization."""
# mock index
index = Mock()
embedding = Mock()
text_key = "xyz"
Pinecone(index, embedding, text_key)
... |
0 | lc_public_repos/langchain/libs/partners/pinecone/tests | lc_public_repos/langchain/libs/partners/pinecone/tests/unit_tests/test_imports.py | from langchain_pinecone import __all__
EXPECTED_ALL = [
"PineconeVectorStore",
"Pinecone",
"PineconeEmbeddings",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
|
0 | lc_public_repos/langchain/libs/partners/pinecone/tests | lc_public_repos/langchain/libs/partners/pinecone/tests/unit_tests/test_embeddings.py | from langchain_core.utils import convert_to_secret_str
from langchain_pinecone import PineconeEmbeddings
API_KEY = convert_to_secret_str("NOT_A_VALID_KEY")
MODEL_NAME = "multilingual-e5-large"
def test_default_config() -> None:
e = PineconeEmbeddings(
pinecone_api_key=API_KEY, # type: ignore[call-arg]
... |
0 | lc_public_repos/langchain/libs/partners/pinecone | lc_public_repos/langchain/libs/partners/pinecone/scripts/lint_imports.sh | #!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain or langchain_experimental
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
# Decide on an exit status ... |
0 | lc_public_repos/langchain/libs/partners/pinecone | lc_public_repos/langchain/libs/partners/pinecone/scripts/check_imports.py | import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(f... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/nomic/Makefile | .PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_tests: TEST_FILE = tests/integration_tests/
test integration_tests:
p... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/nomic/LICENSE | MIT License
Copyright (c) 2023 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, d... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/nomic/poetry.lock | # This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
[[package]]
name = "annotated-types"
version = "0.7.0"
description = "Reusable constraint types to use with typing.Annotated"
optional = false
python-versions = ">=3.8"
files = [
{file = "annotated_types-0.7.0-py3-none-any.w... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/nomic/README.md | # langchain-nomic
This package contains the LangChain integration with Nomic
## Installation
```bash
pip install -U langchain-nomic
```
And you should configure credentials by setting the following environment variables:
* `NOMIC_API_KEY`: your nomic API key
## Embeddings
`NomicEmbeddings` class exposes embeddin... |
0 | lc_public_repos/langchain/libs/partners | lc_public_repos/langchain/libs/partners/nomic/pyproject.toml | [tool.poetry]
name = "langchain-nomic"
version = "0.1.4"
description = "An integration package connecting Nomic and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/langchain/tree/ma... |
0 | lc_public_repos/langchain/libs/partners/nomic | lc_public_repos/langchain/libs/partners/nomic/langchain_nomic/embeddings.py | import os
from typing import List, Literal, Optional, overload
import nomic # type: ignore[import]
from langchain_core.embeddings import Embeddings
from nomic import embed
class NomicEmbeddings(Embeddings):
"""NomicEmbeddings embedding model.
Example:
.. code-block:: python
from langch... |
0 | lc_public_repos/langchain/libs/partners/nomic | lc_public_repos/langchain/libs/partners/nomic/langchain_nomic/__init__.py | from langchain_nomic.embeddings import NomicEmbeddings
__all__ = ["NomicEmbeddings"]
|
0 | lc_public_repos/langchain/libs/partners/nomic/tests | lc_public_repos/langchain/libs/partners/nomic/tests/integration_tests/test_embeddings.py | """Test Nomic embeddings."""
from langchain_nomic.embeddings import NomicEmbeddings
def test_langchain_nomic_embedding_documents() -> None:
"""Test nomic embeddings."""
documents = ["foo bar"]
embedding = NomicEmbeddings(model="nomic-embed-text-v1")
output = embedding.embed_documents(documents)
a... |
0 | lc_public_repos/langchain/libs/partners/nomic/tests | lc_public_repos/langchain/libs/partners/nomic/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/partners/nomic/tests | lc_public_repos/langchain/libs/partners/nomic/tests/unit_tests/test_imports.py | from langchain_nomic import __all__
EXPECTED_ALL = [
"NomicEmbeddings",
]
def test_all_imports() -> None:
assert sorted(EXPECTED_ALL) == sorted(__all__)
|
0 | lc_public_repos/langchain/libs/partners/nomic/tests | lc_public_repos/langchain/libs/partners/nomic/tests/unit_tests/test_embeddings.py | """Test embedding model integration."""
from langchain_nomic.embeddings import NomicEmbeddings
def test_initialization() -> None:
"""Test embedding model initialization."""
NomicEmbeddings(model="nomic-embed-text-v1")
|
0 | lc_public_repos/langchain/libs/partners/nomic | lc_public_repos/langchain/libs/partners/nomic/scripts/lint_imports.sh | #!/bin/bash
set -eu
# Initialize a variable to keep track of errors
errors=0
# make sure not importing from langchain or langchain_experimental
git --no-pager grep '^from langchain\.' . && errors=$((errors+1))
git --no-pager grep '^from langchain_experimental\.' . && errors=$((errors+1))
# Decide on an exit status ... |
0 | lc_public_repos/langchain/libs/partners/nomic | lc_public_repos/langchain/libs/partners/nomic/scripts/check_imports.py | import sys
import traceback
from importlib.machinery import SourceFileLoader
if __name__ == "__main__":
files = sys.argv[1:]
has_failure = False
for file in files:
try:
SourceFileLoader("x", file).load_module()
except Exception:
has_failure = True
print(f... |
0 | lc_public_repos/langchain/libs | lc_public_repos/langchain/libs/cli/Makefile |
######################
# LINTING AND FORMATTING
######################
# Define a variable for Python and notebook files.
PYTHON_FILES=.
MYPY_CACHE=.mypy_cache
lint format: PYTHON_FILES=.
lint_diff format_diff: PYTHON_FILES=$(shell git diff --relative=libs/cli --name-only --diff-filter=d master | grep -E '\.py$$|\.ip... |
0 | lc_public_repos/langchain/libs | lc_public_repos/langchain/libs/cli/LICENSE | MIT License
Copyright (c) LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distri... |
0 | lc_public_repos/langchain/libs | lc_public_repos/langchain/libs/cli/DOCS.md | # `langchain`
**Usage**:
```console
$ langchain [OPTIONS] COMMAND [ARGS]...
```
**Options**:
* `--help`: Show this message and exit.
* `-v, --version`: Print current CLI version.
**Commands**:
* `app`: Manage LangChain apps
* `serve`: Start the LangServe app, whether it's a...
* `template`: Develop installable te... |
0 | lc_public_repos/langchain/libs | lc_public_repos/langchain/libs/cli/CONTRIBUTING.md | # Contributing to langchain-cli
Update CLI versions with `poe bump` to ensure that version commands display correctly.
|
0 | lc_public_repos/langchain/libs | lc_public_repos/langchain/libs/cli/poetry.lock | # This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
[[package]]
name = "aiohappyeyeballs"
version = "2.4.4"
description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
files = [
{file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash = "sha256:a98090... |
0 | lc_public_repos/langchain/libs | lc_public_repos/langchain/libs/cli/README.md | # langchain-cli
This package implements the official CLI for LangChain. Right now, it is most useful
for getting started with LangChain Templates!
[CLI Docs](https://github.com/langchain-ai/langchain/blob/master/libs/cli/DOCS.md)
|
0 | lc_public_repos/langchain/libs | lc_public_repos/langchain/libs/cli/pyproject.toml | [tool.poetry]
name = "langchain-cli"
version = "0.0.34"
description = "CLI for interacting with LangChain"
authors = ["Erick Friis <erick@langchain.dev>"]
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
license = "MIT"
[tool.poetry.urls]
"Source Code" = "https://github.com/langchain-ai/la... |
0 | lc_public_repos/langchain/libs | lc_public_repos/langchain/libs/cli/poetry.toml | [virtualenvs]
in-project = true
|
0 | lc_public_repos/langchain/libs/cli/tests | lc_public_repos/langchain/libs/cli/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/cli/tests | lc_public_repos/langchain/libs/cli/tests/unit_tests/test_events.py | import pytest
from langchain_cli.utils.events import EventDict, create_events
@pytest.mark.xfail(reason="Unknown reason")
def test_create_events() -> None:
assert create_events(
[EventDict(event="Test Event", properties={"test": "test"})]
) == {"status": "success"}
|
0 | lc_public_repos/langchain/libs/cli/tests | lc_public_repos/langchain/libs/cli/tests/unit_tests/test_utils.py | from typing import Dict, Optional
import pytest
from langchain_cli.constants import (
DEFAULT_GIT_REF,
DEFAULT_GIT_REPO,
DEFAULT_GIT_SUBDIRECTORY,
)
from langchain_cli.utils.git import DependencySource, parse_dependency_string
def _assert_dependency_equals(
dep: DependencySource,
*,
git: Opt... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner/file.py | from __future__ import annotations
class File:
def __init__(self, name: str, content: list[str] | None = None) -> None:
self.name = name
self.content = "\n".join(content or [])
def __eq__(self, __value: object) -> bool:
if not isinstance(__value, File):
return NotImplement... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner/test_cli.py | # ruff: noqa: E402
from __future__ import annotations
import pytest
pytest.importorskip("gritql")
import difflib
from pathlib import Path
from typer.testing import CliRunner
from langchain_cli.cli import app
from tests.unit_tests.migrate.cli_runner.cases import before, expected
from tests.unit_tests.migrate.cli_ru... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner/case.py | from __future__ import annotations
from dataclasses import dataclass
from .file import File
from .folder import Folder
@dataclass
class Case:
source: Folder | File
expected: Folder | File
name: str
|
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner/folder.py | from __future__ import annotations
from pathlib import Path
from .file import File
class Folder:
def __init__(self, name: str, *files: Folder | File) -> None:
self.name = name
self._files = files
@property
def files(self) -> list[Folder | File]:
return sorted(self._files, key=la... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner/cases/imports.py | from tests.unit_tests.migrate.cli_runner.case import Case
from tests.unit_tests.migrate.cli_runner.file import File
cases = [
Case(
name="Imports",
source=File(
"app.py",
content=[
"from langchain_community.chat_models import ChatOpenAI",
"",
... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner/cases/imports_with_alias_changes.py | """Handle a test case where the import is updated and may involve an alias change."""
from tests.unit_tests.migrate.cli_runner.case import Case
from tests.unit_tests.migrate.cli_runner.file import File
# The test case right now make sure that if we update the import
# of RunnableMap to RunnableParallel then the code ... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/cli_runner/cases/__init__.py | from tests.unit_tests.migrate.cli_runner.case import Case
from tests.unit_tests.migrate.cli_runner.cases import imports
from tests.unit_tests.migrate.cli_runner.file import File
from tests.unit_tests.migrate.cli_runner.folder import Folder
cases = [
Case(
name="empty",
source=File("__init__.py", co... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/generate/test_langchain_migration.py | import pytest
from langchain._api import suppress_langchain_deprecation_warning as sup2
from langchain_core._api import suppress_langchain_deprecation_warning as sup1
from langchain_cli.namespaces.migrate.generate.generic import (
generate_simplified_migrations,
)
@pytest.mark.xfail(reason="Unknown reason")
def ... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/generate/test_partner_migrations.py | import pytest
from langchain_cli.namespaces.migrate.generate.partner import (
get_migrations_for_partner_package,
)
pytest.importorskip(modname="langchain_openai")
def test_generate_migrations() -> None:
migrations = get_migrations_for_partner_package("langchain_openai")
assert migrations == [
(... |
0 | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate | lc_public_repos/langchain/libs/cli/tests/unit_tests/migrate/generate/test_utils.py | from langchain_cli.namespaces.migrate.generate.utils import PKGS_ROOT
def test_root() -> None:
assert PKGS_ROOT.name == "libs"
|
0 | lc_public_repos/langchain/libs/cli | lc_public_repos/langchain/libs/cli/langchain_cli/dev_scripts.py | # type: ignore
"""
Development Scripts for template packages
"""
from typing import Sequence
from fastapi import FastAPI
from langserve import add_routes
from langchain_cli.utils.packages import get_langserve_export, get_package_root
def create_demo_server(
*,
config_keys: Sequence[str] = (),
playgroun... |
0 | lc_public_repos/langchain/libs/cli | lc_public_repos/langchain/libs/cli/langchain_cli/__init__.py | from langchain_cli._version import __version__
__all__ = [
"__version__",
]
|
0 | lc_public_repos/langchain/libs/cli | lc_public_repos/langchain/libs/cli/langchain_cli/cli.py | from typing import Optional
import typer
from typing_extensions import Annotated
from langchain_cli._version import __version__
from langchain_cli.namespaces import app as app_namespace
from langchain_cli.namespaces import integration as integration_namespace
from langchain_cli.namespaces import template as template_... |
0 | lc_public_repos/langchain/libs/cli | lc_public_repos/langchain/libs/cli/langchain_cli/_version.py | from importlib import metadata
try:
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
# Case where package metadata is not available.
__version__ = ""
del metadata # optional, avoids polluting the results of dir(__package__)
__all__ = ["__version__"]
|
0 | lc_public_repos/langchain/libs/cli | lc_public_repos/langchain/libs/cli/langchain_cli/constants.py | DEFAULT_GIT_REPO = "https://github.com/langchain-ai/langchain.git"
DEFAULT_GIT_SUBDIRECTORY = "templates"
DEFAULT_GIT_REF = "master"
|
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/project_template/Dockerfile | FROM python:3.11-slim
RUN pip install poetry==1.6.1
RUN poetry config virtualenvs.create false
WORKDIR /code
COPY ./pyproject.toml ./README.md ./poetry.lock* ./
COPY ./package[s] ./packages
RUN poetry install --no-interaction --no-ansi --no-root
COPY ./app ./app
RUN poetry install --no-interaction --no-ansi
E... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/project_template/README.md | # __app_name__
## Installation
Install the LangChain CLI if you haven't yet
```bash
pip install -U langchain-cli
```
## Adding packages
```bash
# adding packages from
# https://github.com/langchain-ai/langchain/tree/master/templates
langchain app add $PROJECT_NAME
# adding custom GitHub repo packages
langchain a... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/project_template/pyproject.toml | [tool.poetry]
name = "__app_name__"
version = "0.1.0"
description = ""
authors = ["Your Name <you@example.com>"]
readme = "README.md"
packages = [
{ include = "app" },
]
[tool.poetry.dependencies]
python = "^3.11"
uvicorn = "^0.23.2"
langserve = {extras = ["server"], version = ">=0.0.30"}
pydantic = "<2"
[tool.p... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/project_template | lc_public_repos/langchain/libs/cli/langchain_cli/project_template/app/server.py | from fastapi import FastAPI
from fastapi.responses import RedirectResponse
from langserve import add_routes
app = FastAPI()
@app.get("/")
async def redirect_root_to_docs():
return RedirectResponse("/docs")
# Edit this to add the chain you want to add
add_routes(app, NotImplemented)
if __name__ == "__main__":
... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/package_template/LICENSE | MIT License
Copyright (c) 2024 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, d... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/package_template/README.md | # __package_name__
TODO: What does this package do
## Environment Setup
TODO: What environment variables need to be set (if any)
## Usage
To use this package, you should first have the LangChain CLI installed:
```shell
pip install -U langchain-cli
```
To create a new LangChain project and install this as the onl... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/package_template/pyproject.toml | [build-system]
requires = [ "poetry-core",]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "__package_name__"
version = "0.0.1"
description = ""
authors = []
readme = "README.md"
[tool.langserve]
export_module = "__module_name__"
export_attr = "chain"
[tool.poetry.dependencies]
python = ">=3.9,<4.0"
... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/package_template | lc_public_repos/langchain/libs/cli/langchain_cli/package_template/package_template/chain.py | from langchain_core.prompts import ChatPromptTemplate
from langchain_openai import ChatOpenAI
_prompt = ChatPromptTemplate.from_messages(
[
(
"system",
"You are a helpful assistant who speaks like a pirate",
),
("human", "{text}"),
]
)
_model = ChatOpenAI()
# if... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/package_template | lc_public_repos/langchain/libs/cli/langchain_cli/package_template/package_template/__init__.py | from __module_name__.chain import chain
__all__ = ["chain"]
|
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/utils/events.py | import http.client
import json
from typing import Any, Dict, List, Optional, TypedDict
WRITE_KEY = "310apTK0HUFl4AOv"
class EventDict(TypedDict):
event: str
properties: Optional[Dict[str, Any]]
def create_events(events: List[EventDict]) -> Optional[Any]:
try:
data = {
"events": [
... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/utils/git.py | import hashlib
import re
import shutil
from pathlib import Path
from typing import Dict, List, Optional, Sequence, TypedDict
from git import Repo
from langchain_cli.constants import (
DEFAULT_GIT_REF,
DEFAULT_GIT_REPO,
DEFAULT_GIT_SUBDIRECTORY,
)
class DependencySource(TypedDict):
git: str
ref: ... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/utils/github.py | import http.client
import json
from typing import Optional
def list_packages(*, contains: Optional[str] = None):
conn = http.client.HTTPSConnection("api.github.com")
headers = {
"Accept": "application/vnd.github+json",
"X-GitHub-Api-Version": "2022-11-28",
"User-Agent": "langchain-cli... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/utils/find_replace.py | from pathlib import Path
from typing import Dict
def find_and_replace(source: str, replacements: Dict[str, str]) -> str:
rtn = source
# replace keys in deterministic alphabetical order
finds = sorted(replacements.keys())
for find in finds:
replace = replacements[find]
rtn = rtn.replac... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/utils/pyproject.py | from pathlib import Path
from typing import Any, Dict, Iterable, Tuple
from tomlkit import dump, inline_table, load
from tomlkit.items import InlineTable
def _get_dep_inline_table(path: Path) -> InlineTable:
dep = inline_table()
dep.update({"path": str(path), "develop": True})
return dep
def add_depend... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/utils/packages.py | from pathlib import Path
from typing import Any, Dict, Optional, Set, TypedDict
from tomlkit import load
def get_package_root(cwd: Optional[Path] = None) -> Path:
# traverse path for routes to host (any directory holding a pyproject.toml file)
package_root = Path.cwd() if cwd is None else cwd
visited: Se... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/Makefile | .PHONY: all format lint test tests integration_tests docker_tests help extended_tests
# Default target executed when no arguments are given to make.
all: help
# Define a variable for the test file path.
TEST_FILE ?= tests/unit_tests/
integration_test integration_tests: TEST_FILE = tests/integration_tests/
# unit te... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/LICENSE | MIT License
Copyright (c) 2024 LangChain, Inc.
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, d... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/README.md | # __package_name__
This package contains the LangChain integration with __ModuleName__
## Installation
```bash
pip install -U __package_name__
```
And you should configure credentials by setting the following environment variables:
* TODO: fill this out
## Chat Models
`Chat__ModuleName__` class exposes chat mode... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/pyproject.toml | [build-system]
requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api"
[tool.poetry]
name = "__package_name__"
version = "0.1.0"
description = "An integration package connecting __ModuleName__ and LangChain"
authors = []
readme = "README.md"
repository = "https://github.com/langchain-ai/langchain"
... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/text_embedding.ipynb | import getpass
import os
if not os.getenv("__MODULE_NAME___API_KEY"):
os.environ["__MODULE_NAME___API_KEY"] = getpass.getpass("Enter your __ModuleName__ API key: ")# os.environ["LANGCHAIN_TRACING_V2"] = "true"
# os.environ["LANGCHAIN_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")%pip install -qU __p... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/llms.ipynb | import getpass
import os
if not os.getenv("__MODULE_NAME___API_KEY"):
os.environ["__MODULE_NAME___API_KEY"] = getpass.getpass("Enter your __ModuleName__ API key: ")# os.environ["LANGCHAIN_TRACING_V2"] = "true"
# os.environ["LANGCHAIN_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")%pip install -qU __p... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/chat.ipynb | import getpass
import os
if not os.getenv("__MODULE_NAME___API_KEY"):
os.environ["__MODULE_NAME___API_KEY"] = getpass.getpass("Enter your __ModuleName__ API key: ")# os.environ["LANGCHAIN_TRACING_V2"] = "true"
# os.environ["LANGCHAIN_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")%pip install -qU __p... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/document_loaders.ipynb | import getpass
import os
os.environ["__MODULE_NAME___API_KEY"] = getpass.getpass("Enter your __ModuleName__ API key: ")# os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
# os.environ["LANGSMITH_TRACING"] = "true"%pip install -qU langchain_communityfrom langchain_community.document_lo... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/vectorstores.ipynb | import getpass
import os
if not os.getenv("__MODULE_NAME___API_KEY"):
os.environ["__MODULE_NAME___API_KEY"] = getpass.getpass("Enter your __ModuleName__ API key: ")# os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
# os.environ["LANGSMITH_TRACING"] = "true"from __module_name__.ve... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/stores.ipynb | import getpass
import os
if not os.getenv("__MODULE_NAME___API_KEY"):
os.environ["__MODULE_NAME___API_KEY"] = getpass.getpass("Enter your __ModuleName__ API key: ")%pip install -qU __package_name__from __module_name__ import __ModuleName__ByteStore
kv_store = __ModuleName__ByteStore(
# params...
)kv_store.mse... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/tools.ipynb | %pip install --quiet -U langchain-communityimport getpass
import os
# if not os.environ.get("__MODULE_NAME___API_KEY"):
# os.environ["__MODULE_NAME___API_KEY"] = getpass.getpass("__MODULE_NAME__ API key:\n")# os.environ["LANGCHAIN_TRACING_V2"] = "true"
# os.environ["LANGCHAIN_API_KEY"] = getpass.getpass()from lang... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/provider.ipynb | from __module_name__ import Chat__ModuleName__
from __module_name__ import __ModuleName__LLM
from __module_name__ import __ModuleName__VectorStore |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/toolkits.ipynb | # os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
# os.environ["LANGSMITH_TRACING"] = "true"%pip install -qU __package_name__from __module_name__ import __ModuleName__Toolkit
toolkit = __ModuleName__Toolkit(
# ...
)toolkit.get_tools()from langgraph.prebuilt import create_react_a... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/docs/retrievers.ipynb | # os.environ["LANGSMITH_API_KEY"] = getpass.getpass("Enter your LangSmith API key: ")
# os.environ["LANGSMITH_TRACING"] = "true"%pip install -qU __package_name__from __module_name__ import __ModuleName__Retriever
retriever = __ModuleName__Retriever(
# ...
)query = "..."
retriever.invoke(query)# | output: false
# ... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/integration_tests/test_vectorstores.py | from typing import AsyncGenerator, Generator
import pytest
from __module_name__.vectorstores import __ModuleName__VectorStore
from langchain_core.vectorstores import VectorStore
from langchain_tests.integration_tests import (
AsyncReadWriteTestSuite,
ReadWriteTestSuite,
)
class Test__ModuleName__VectorStoreS... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/integration_tests/test_tools.py | from typing import Type
from __module_name__.tools import __ModuleName__Tool
from langchain_tests.integration_tests import ToolsIntegrationTests
class TestParrotMultiplyToolIntegration(ToolsIntegrationTests):
@property
def tool_constructor(self) -> Type[__ModuleName__Tool]:
return __ModuleName__Tool
... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/integration_tests/test_chat_models.py | """Test Chat__ModuleName__ chat model."""
from typing import Type
from __module_name__.chat_models import Chat__ModuleName__
from langchain_tests.integration_tests import ChatModelIntegrationTests
class TestChatParrotLinkIntegration(ChatModelIntegrationTests):
@property
def chat_model_class(self) -> Type[Ch... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/integration_tests/test_embeddings.py | """Test __ModuleName__ embeddings."""
from typing import Type
from __module_name__.embeddings import __ModuleName__Embeddings
from langchain_tests.integration_tests import EmbeddingsIntegrationTests
class TestParrotLinkEmbeddingsIntegration(EmbeddingsIntegrationTests):
@property
def embeddings_class(self) -... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/integration_tests/test_compile.py | import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass
|
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/integration_tests/test_retrievers.py | from typing import Type
from __module_name__.retrievers import __ModuleName__Retriever
from langchain_tests.integration_tests import (
RetrieversIntegrationTests,
)
class Test__ModuleName__Retriever(RetrieversIntegrationTests):
@property
def retriever_constructor(self) -> Type[__ModuleName__Retriever]:
... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/unit_tests/test_tools.py | from typing import Type
from __module_name__.tools import __ModuleName__Tool
from langchain_tests.unit_tests import ToolsUnitTests
class TestParrotMultiplyToolUnit(ToolsUnitTests):
@property
def tool_constructor(self) -> Type[__ModuleName__Tool]:
return __ModuleName__Tool
@property
def tool_... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/unit_tests/test_chat_models.py | """Test chat model integration."""
from typing import Type
from __module_name__.chat_models import Chat__ModuleName__
from langchain_tests.unit_tests import ChatModelUnitTests
class TestChat__ModuleName__Unit(ChatModelUnitTests):
@property
def chat_model_class(self) -> Type[Chat__ModuleName__]:
retu... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/tests/unit_tests/test_embeddings.py | """Test embedding model integration."""
from typing import Type
from __module_name__.embeddings import __ModuleName__Embeddings
from langchain_tests.unit_tests import EmbeddingsUnitTests
class TestParrotLinkEmbeddingsUnit(EmbeddingsUnitTests):
@property
def embeddings_class(self) -> Type[__ModuleName__Embed... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/integration_template/document_loaders.py | """__ModuleName__ document loader."""
from typing import Iterator
from langchain_core.document_loaders.base import BaseLoader
from langchain_core.documents import Document
class __ModuleName__Loader(BaseLoader):
# TODO: Replace all TODOs in docstring. See example docstring:
# https://github.com/langchain-ai... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/integration_template/toolkits.py | """__ModuleName__ toolkits."""
from typing import List
from langchain_core.tools import BaseTool, BaseToolkit
class __ModuleName__Toolkit(BaseToolkit):
# TODO: Replace all TODOs in docstring. See example docstring:
# https://github.com/langchain-ai/langchain/blob/c123cb2b304f52ab65db4714eeec46af69a861ec/lib... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/integration_template/retrievers.py | """__ModuleName__ retrievers."""
from typing import Any, List
from langchain_core.callbacks import CallbackManagerForRetrieverRun
from langchain_core.documents import Document
from langchain_core.retrievers import BaseRetriever
class __ModuleName__Retriever(BaseRetriever):
# TODO: Replace all TODOs in docstring... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/integration_template/chat_models.py | """__ModuleName__ chat models."""
from typing import Any, Dict, Iterator, List, Optional
from langchain_core.callbacks import (
CallbackManagerForLLMRun,
)
from langchain_core.language_models import BaseChatModel
from langchain_core.messages import (
AIMessage,
AIMessageChunk,
BaseMessage,
)
from lang... |
0 | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template | lc_public_repos/langchain/libs/cli/langchain_cli/integration_template/integration_template/tools.py | """__ModuleName__ tools."""
from typing import Optional, Type
from langchain_core.callbacks import (
CallbackManagerForToolRun,
)
from langchain_core.tools import BaseTool
from pydantic import BaseModel, Field
class __ModuleName__ToolInput(BaseModel):
"""Input schema for __ModuleName__ tool.
This docst... |
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