mirror of
https://github.com/hwchase17/langchain
synced 2024-11-04 06:00:26 +00:00
1efb9bae5f
- [Xorbits Inference(Xinference)](https://github.com/xorbitsai/inference) is a powerful and versatile library designed to serve language, speech recognition, and multimodal models. Xinference supports a variety of GGML-compatible models including chatglm, whisper, and vicuna, and utilizes heterogeneous hardware and a distributed architecture for seamless cross-device and cross-server model deployment. - This PR integrates Xinference models and Xinference embeddings into LangChain. - Dependencies: To install the depenedencies for this integration, run `pip install "xinference[all]"` - Example Usage: To start a local instance of Xinference, run `xinference`. To deploy Xinference in a distributed cluster, first start an Xinference supervisor using `xinference-supervisor`: `xinference-supervisor -H "${supervisor_host}"` Then, start the Xinference workers using `xinference-worker` on each server you want to run them on. `xinference-worker -e "http://${supervisor_host}:9997"` To use Xinference with LangChain, you also need to launch a model. You can use command line interface (CLI) to do so. Fo example: `xinference launch -n vicuna-v1.3 -f ggmlv3 -q q4_0`. This launches a model named vicuna-v1.3 with `model_format="ggmlv3"` and `quantization="q4_0"`. A model UID is returned for you to use. Now you can use Xinference with LangChain: ```python from langchain.llms import Xinference llm = Xinference( server_url="http://0.0.0.0:9997", # suppose the supervisor_host is "0.0.0.0" model_uid = {model_uid} # model UID returned from launching a model ) llm( prompt="Q: where can we visit in the capital of France? A:", generate_config={"max_tokens": 1024}, ) ``` You can also use RESTful client to launch a model: ```python from xinference.client import RESTfulClient client = RESTfulClient("http://0.0.0.0:9997") model_uid = client.launch_model(model_name="vicuna-v1.3", model_size_in_billions=7, quantization="q4_0") ``` The following code block demonstrates how to use Xinference embeddings with LangChain: ```python from langchain.embeddings import XinferenceEmbeddings xinference = XinferenceEmbeddings( server_url="http://0.0.0.0:9997", model_uid = model_uid ) ``` ```python query_result = xinference.embed_query("This is a test query") ``` ```python doc_result = xinference.embed_documents(["text A", "text B"]) ``` Xinference is still under rapid development. Feel free to [join our Slack community](https://xorbitsio.slack.com/join/shared_invite/zt-1z3zsm9ep-87yI9YZ_B79HLB2ccTq4WA) to get the latest updates! - Request for review: @hwchase17, @baskaryan - Twitter handle: https://twitter.com/Xorbitsio --------- Co-authored-by: Bagatur <baskaryan@gmail.com>
3833 lines
256 KiB
TOML
3833 lines
256 KiB
TOML
# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand.
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]
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[package.dependencies]
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pycparser = "*"
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[[package]]
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name = "charset-normalizer"
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version = "3.2.0"
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description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
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optional = false
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python-versions = ">=3.7.0"
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files = [
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name = "ghapi"
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version = "0.1.22"
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description = "A python client for the GitHub API"
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fastcore = "*"
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docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
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qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
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testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
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[[package]]
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name = "jinja2"
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version = "3.1.2"
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description = "A very fast and expressive template engine."
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
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MarkupSafe = ">=2.0"
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[package.extras]
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i18n = ["Babel (>=2.7)"]
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[[package]]
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name = "json5"
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version = "0.9.14"
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description = "A Python implementation of the JSON5 data format."
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optional = false
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python-versions = "*"
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files = [
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dev = ["hypothesis"]
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description = "Identify specific nodes in a JSON document (RFC 6901)"
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optional = false
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python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
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files = [
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description = "An implementation of JSON Schema validation for Python"
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python-versions = ">=3.8"
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importlib-resources = {version = ">=1.4.0", markers = "python_version < \"3.9\""}
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isoduration = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
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jsonpointer = {version = ">1.13", optional = true, markers = "extra == \"format-nongpl\""}
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jsonschema-specifications = ">=2023.03.6"
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rpds-py = ">=0.7.1"
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uri-template = {version = "*", optional = true, markers = "extra == \"format-nongpl\""}
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name = "jupyter"
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notebook = "*"
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qtconsole = "*"
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[[package]]
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name = "jupyter-cache"
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version = "0.6.1"
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attrs = "*"
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click = "*"
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pyyaml = "*"
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sqlalchemy = ">=1.3.12,<3"
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tabulate = "*"
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[package.extras]
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cli = ["click-log"]
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rtd = ["ipykernel", "jupytext", "myst-nb", "nbdime", "sphinx-book-theme", "sphinx-copybutton"]
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testing = ["coverage", "ipykernel", "jupytext", "matplotlib", "nbdime", "nbformat (>=5.1)", "numpy", "pandas", "pytest (>=6,<8)", "pytest-cov", "pytest-regressions", "sympy"]
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[[package]]
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python-dateutil = ">=2.8.2"
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tornado = ">=6.2"
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traitlets = "*"
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[package.extras]
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doc = ["ipykernel", "myst-parser", "sphinx (>=1.3.6)", "sphinx-rtd-theme", "sphinxcontrib-github-alt"]
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test = ["codecov", "coverage", "ipykernel (>=6.12)", "ipython", "mypy", "pre-commit", "pytest", "pytest-asyncio (>=0.18)", "pytest-cov", "pytest-timeout"]
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[[package]]
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traitlets = ">=5.4"
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[package.extras]
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test = ["flaky", "pexpect", "pytest"]
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[[package]]
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[package.dependencies]
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traitlets = ">=5.3"
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[package.extras]
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docs = ["myst-parser", "sphinx-autodoc-typehints", "sphinxcontrib-github-alt", "sphinxcontrib-spelling", "traitlets"]
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test = ["ipykernel", "pre-commit", "pytest", "pytest-cov", "pytest-timeout"]
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[[package]]
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[package.dependencies]
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python-json-logger = ">=2.0.4"
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[package.extras]
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cli = ["click", "rich"]
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[[package]]
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description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
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[[package]]
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name = "jupyter-server"
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description = "The backend—i.e. core services, APIs, and REST endpoints—to Jupyter web applications."
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[package.extras]
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[[package]]
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[package.extras]
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docs = ["jinja2", "jupyter-server", "mistune (<3.0)", "myst-parser", "nbformat", "packaging", "pydata-sphinx-theme", "sphinxcontrib-github-alt", "sphinxcontrib-openapi", "sphinxcontrib-spelling", "sphinxemoji", "tornado"]
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[[package]]
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testing = ["coverage", "pytest", "pytest-cov", "pytest-regressions"]
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]
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[package.dependencies]
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idna = ">=2.0"
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multidict = ">=4.0"
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[[package]]
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name = "zipp"
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version = "3.16.2"
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description = "Backport of pathlib-compatible object wrapper for zip files"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "zipp-3.16.2-py3-none-any.whl", hash = "sha256:679e51dd4403591b2d6838a48de3d283f3d188412a9782faadf845f298736ba0"},
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]
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[package.extras]
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docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
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testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy (>=0.9.1)", "pytest-ruff"]
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[metadata]
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lock-version = "2.0"
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python-versions = ">=3.8.1,<4.0"
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content-hash = "eeeb245db6de8d353cbfc59842821a31f6759344834b116df27f3b517ef55d32"
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