2023-07-21 17:36:28 +00:00
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[tool.poetry]
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2023-07-21 20:32:39 +00:00
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name = "langchain-experimental"
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2024-03-13 00:38:46 +00:00
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version = "0.0.54"
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2023-07-21 17:36:28 +00:00
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description = "Building applications with LLMs through composability"
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authors = []
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license = "MIT"
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readme = "README.md"
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2023-08-18 16:55:43 +00:00
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repository = "https://github.com/langchain-ai/langchain"
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2023-07-21 17:36:28 +00:00
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[tool.poetry.dependencies]
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python = ">=3.8.1,<4.0"
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2024-03-13 00:38:46 +00:00
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langchain-core = "^0.1.31"
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langchain = "^0.1.12"
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2023-12-07 22:24:58 +00:00
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[tool.poetry.group.lint]
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optional = true
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2023-07-21 17:36:28 +00:00
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[tool.poetry.group.lint.dependencies]
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2023-11-14 21:00:21 +00:00
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ruff = "^0.1.5"
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2023-07-21 17:36:28 +00:00
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2023-12-07 22:24:58 +00:00
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[tool.poetry.group.typing]
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optional = true
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2023-07-21 17:36:28 +00:00
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[tool.poetry.group.typing.dependencies]
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mypy = "^0.991"
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2023-07-21 20:32:39 +00:00
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types-pyyaml = "^6.0.12.2"
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2023-09-06 20:32:59 +00:00
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types-requests = "^2.28.11.5"
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2023-12-11 21:53:30 +00:00
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langchain = {path = "../langchain", develop = true}
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langchain-core = {path = "../core", develop = true}
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langchain-community = {path = "../community", develop = true}
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2023-07-21 17:36:28 +00:00
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2023-12-07 22:24:58 +00:00
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[tool.poetry.group.dev]
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optional = true
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2023-07-21 17:36:28 +00:00
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[tool.poetry.group.dev.dependencies]
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jupyter = "^1.0.0"
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setuptools = "^67.6.1"
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2023-12-11 21:53:30 +00:00
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langchain = {path = "../langchain", develop = true}
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langchain-core = {path = "../core", develop = true}
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langchain-community = {path = "../community", develop = true}
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2023-07-21 17:36:28 +00:00
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2023-12-07 22:24:58 +00:00
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[tool.poetry.group.test]
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optional = true
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2023-07-21 17:36:28 +00:00
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[tool.poetry.group.test.dependencies]
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# The only dependencies that should be added are
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# dependencies used for running tests (e.g., pytest, freezegun, response).
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# Any dependencies that do not meet that criteria will be removed.
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pytest = "^7.3.0"
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EXPERIMENTAL Generic LLM wrapper to support chat model interface with configurable chat prompt format (#8295)
## Update 2023-09-08
This PR now supports further models in addition to Lllama-2 chat models.
See [this comment](#issuecomment-1668988543) for further details. The
title of this PR has been updated accordingly.
## Original PR description
This PR adds a generic `Llama2Chat` model, a wrapper for LLMs able to
serve Llama-2 chat models (like `LlamaCPP`,
`HuggingFaceTextGenInference`, ...). It implements `BaseChatModel`,
converts a list of chat messages into the [required Llama-2 chat prompt
format](https://huggingface.co/blog/llama2#how-to-prompt-llama-2) and
forwards the formatted prompt as `str` to the wrapped `LLM`. Usage
example:
```python
# uses a locally hosted Llama2 chat model
llm = HuggingFaceTextGenInference(
inference_server_url="http://127.0.0.1:8080/",
max_new_tokens=512,
top_k=50,
temperature=0.1,
repetition_penalty=1.03,
)
# Wrap llm to support Llama2 chat prompt format.
# Resulting model is a chat model
model = Llama2Chat(llm=llm)
messages = [
SystemMessage(content="You are a helpful assistant."),
MessagesPlaceholder(variable_name="chat_history"),
HumanMessagePromptTemplate.from_template("{text}"),
]
prompt = ChatPromptTemplate.from_messages(messages)
memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)
chain = LLMChain(llm=model, prompt=prompt, memory=memory)
# use chat model in a conversation
# ...
```
Also part of this PR are tests and a demo notebook.
- Tag maintainer: @hwchase17
- Twitter handle: `@mrt1nz`
---------
Co-authored-by: Erick Friis <erick@langchain.dev>
2023-11-18 00:32:13 +00:00
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pytest-asyncio = "^0.20.3"
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2023-11-28 21:26:15 +00:00
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langchain = {path = "../langchain", develop = true}
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langchain-core = {path = "../core", develop = true}
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2023-12-11 21:53:30 +00:00
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langchain-community = {path = "../community", develop = true}
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2023-07-21 17:36:28 +00:00
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2023-10-21 14:52:18 +00:00
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[tool.poetry.group.test_integration]
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optional = true
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2023-12-11 21:53:30 +00:00
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[tool.poetry.group.test_integration.dependencies]
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langchain = {path = "../langchain", develop = true}
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langchain-core = {path = "../core", develop = true}
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langchain-community = {path = "../community", develop = true}
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2023-10-21 14:52:18 +00:00
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2024-02-09 22:28:02 +00:00
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[tool.ruff.lint]
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2023-07-21 17:36:28 +00:00
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select = [
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"E", # pycodestyle
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"F", # pyflakes
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"I", # isort
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2024-02-10 00:13:30 +00:00
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"T201", # print
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2023-07-21 17:36:28 +00:00
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]
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[tool.mypy]
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ignore_missing_imports = "True"
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disallow_untyped_defs = "True"
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exclude = ["notebooks", "examples", "example_data"]
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[tool.coverage.run]
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omit = [
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"tests/*",
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]
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[build-system]
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requires = ["poetry-core>=1.0.0"]
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build-backend = "poetry.core.masonry.api"
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[tool.pytest.ini_options]
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# --strict-markers will raise errors on unknown marks.
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# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks
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#
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# https://docs.pytest.org/en/7.1.x/reference/reference.html
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# --strict-config any warnings encountered while parsing the `pytest`
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# section of the configuration file raise errors.
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#
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# https://github.com/tophat/syrupy
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# --snapshot-warn-unused Prints a warning on unused snapshots rather than fail the test suite.
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addopts = "--strict-markers --strict-config --durations=5"
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# Registering custom markers.
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# https://docs.pytest.org/en/7.1.x/example/markers.html#registering-markers
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markers = [
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2023-10-13 16:48:24 +00:00
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"requires: mark tests as requiring a specific library",
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2023-10-21 14:52:18 +00:00
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"asyncio: mark tests as requiring asyncio",
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"compile: mark placeholder test used to compile integration tests without running them",
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2023-07-21 17:36:28 +00:00
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]
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Use pytest asyncio auto mode (#13643)
<!-- Thank you for contributing to LangChain!
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See contribution guidelines for more information on how to write/run
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If you're adding a new integration, please include:
1. a test for the integration, preferably unit tests that do not rely on
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2. an example notebook showing its use. It lives in `docs/extras`
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If no one reviews your PR within a few days, please @-mention one of
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-->
2023-11-21 15:00:13 +00:00
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asyncio_mode = "auto"
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