This is an automated email from the ASF dual-hosted git repository.
jin pushed a commit to branch main
in repository https://gitbox.apache.org/repos/asf/incubator-hugegraph-ai.git
The following commit(s) were added to refs/heads/main by this push:
new 3e0bf46 feat(llm): support `litellm` for multi-LLM provider (#178)
3e0bf46 is described below
commit 3e0bf46bcf8471cba1e656d724ba6419befb7996
Author: Cong Zhao <[email protected]>
AuthorDate: Thu Feb 27 16:50:12 2025 +0800
feat(llm): support `litellm` for multi-LLM provider (#178)
* Update README.md
---------
Co-authored-by: imbajin <[email protected]>
---
hugegraph-llm/.gitignore | 2 +
hugegraph-llm/README.md | 1 +
hugegraph-llm/poetry.lock | 428 +++++++++++++++------
hugegraph-llm/pyproject.toml | 5 +-
hugegraph-llm/requirements.txt | 3 +-
.../src/hugegraph_llm/config/llm_config.py | 35 +-
.../hugegraph_llm/demo/rag_demo/configs_block.py | 96 ++++-
.../models/embeddings/init_embedding.py | 7 +
.../src/hugegraph_llm/models/embeddings/litellm.py | 93 +++++
.../src/hugegraph_llm/models/llms/init_llm.py | 22 ++
.../src/hugegraph_llm/models/llms/litellm.py | 156 ++++++++
11 files changed, 699 insertions(+), 149 deletions(-)
diff --git a/hugegraph-llm/.gitignore b/hugegraph-llm/.gitignore
index 1740bd2..2c4cd3e 100644
--- a/hugegraph-llm/.gitignore
+++ b/hugegraph-llm/.gitignore
@@ -1,3 +1,5 @@
src/hugegraph_llm/resources/demo/questions_answers.xlsx
src/hugegraph_llm/resources/demo/questions.xlsx
src/hugegraph_llm/resources/backup-graph-data-4020/
+
+uv.lock
diff --git a/hugegraph-llm/README.md b/hugegraph-llm/README.md
index beaa52b..c2c3caa 100644
--- a/hugegraph-llm/README.md
+++ b/hugegraph-llm/README.md
@@ -67,6 +67,7 @@ graph systems and large language models.
```bash
python -m hugegraph_llm.config.generate --update
```
+ Note: `Litellm` support multi-LLM provider, refer
[litellm.ai](https://docs.litellm.ai/docs/providers) to config it
7. (__Optional__) You could use
[hugegraph-hubble](https://hugegraph.apache.org/docs/quickstart/hugegraph-hubble/#21-use-docker-convenient-for-testdev)
to visit the graph data, could run it via
[Docker/Docker-Compose](https://hub.docker.com/r/hugegraph/hubble)
diff --git a/hugegraph-llm/poetry.lock b/hugegraph-llm/poetry.lock
index 29825aa..17019b9 100644
--- a/hugegraph-llm/poetry.lock
+++ b/hugegraph-llm/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.0.1 and should not be
changed by hand.
+# This file is automatically @generated by Poetry 2.1.1 and should not be
changed by hand.
[[package]]
name = "aiofiles"
@@ -7,7 +7,6 @@ description = "File support for asyncio."
optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "aiofiles-23.2.1-py3-none-any.whl", hash =
"sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"},
{file = "aiofiles-23.2.1.tar.gz", hash =
"sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"},
@@ -20,7 +19,6 @@ description = "Happy Eyeballs for asyncio"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "aiohappyeyeballs-2.4.4-py3-none-any.whl", hash =
"sha256:a980909d50efcd44795c4afeca523296716d50cd756ddca6af8c65b996e27de8"},
{file = "aiohappyeyeballs-2.4.4.tar.gz", hash =
"sha256:5fdd7d87889c63183afc18ce9271f9b0a7d32c2303e394468dd45d514a757745"},
@@ -33,7 +31,6 @@ description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_universal2.whl", hash =
"sha256:a60804bff28662cbcf340a4d61598891f12eea3a66af48ecfdc975ceec21e3c8"},
{file = "aiohttp-3.11.11-cp310-cp310-macosx_10_9_x86_64.whl", hash =
"sha256:4b4fa1cb5f270fb3eab079536b764ad740bb749ce69a94d4ec30ceee1b5940d5"},
@@ -124,7 +121,7 @@ propcache = ">=0.2.0"
yarl = ">=1.17.0,<2.0"
[package.extras]
-speedups = ["Brotli", "aiodns (>=3.2.0)", "brotlicffi"]
+speedups = ["Brotli ; platform_python_implementation == \"CPython\"", "aiodns
(>=3.2.0) ; sys_platform == \"linux\" or sys_platform == \"darwin\"",
"brotlicffi ; platform_python_implementation != \"CPython\""]
[[package]]
name = "aiolimiter"
@@ -133,7 +130,6 @@ description = "asyncio rate limiter, a leaky bucket
implementation"
optional = false
python-versions = "<4.0,>=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "aiolimiter-1.2.1-py3-none-any.whl", hash =
"sha256:d3f249e9059a20badcb56b61601a83556133655c11d1eb3dd3e04ff069e5f3c7"},
{file = "aiolimiter-1.2.1.tar.gz", hash =
"sha256:e02a37ea1a855d9e832252a105420ad4d15011505512a1a1d814647451b5cca9"},
@@ -146,7 +142,6 @@ description = "aiosignal: a list of registered asynchronous
callbacks"
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "aiosignal-1.3.2-py2.py3-none-any.whl", hash =
"sha256:45cde58e409a301715980c2b01d0c28bdde3770d8290b5eb2173759d9acb31a5"},
{file = "aiosignal-1.3.2.tar.gz", hash =
"sha256:a8c255c66fafb1e499c9351d0bf32ff2d8a0321595ebac3b93713656d2436f54"},
@@ -162,7 +157,6 @@ description = "Reusable constraint types to use with
typing.Annotated"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "annotated_types-0.7.0-py3-none-any.whl", hash =
"sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
{file = "annotated_types-0.7.0.tar.gz", hash =
"sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
@@ -175,7 +169,6 @@ description = "High level compatibility layer for multiple
asynchronous event lo
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "anyio-4.8.0-py3-none-any.whl", hash =
"sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
{file = "anyio-4.8.0.tar.gz", hash =
"sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
@@ -189,7 +182,7 @@ typing_extensions = {version = ">=4.5", markers =
"python_version < \"3.13\""}
[package.extras]
doc = ["Sphinx (>=7.4,<8.0)", "packaging", "sphinx-autodoc-typehints
(>=1.2.0)", "sphinx_rtd_theme"]
-test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)",
"hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme",
"truststore (>=0.9.1)", "uvloop (>=0.21)"]
+test = ["anyio[trio]", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)",
"hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme",
"truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ;
platform_python_implementation == \"CPython\" and platform_system !=
\"Windows\" and python_version < \"3.14\""]
trio = ["trio (>=0.26.1)"]
[[package]]
@@ -199,7 +192,6 @@ description = "In-process task scheduler with Cron-like
capabilities"
optional = false
python-versions = ">=3.6"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "APScheduler-3.10.4-py3-none-any.whl", hash =
"sha256:fb91e8a768632a4756a585f79ec834e0e27aad5860bac7eaa523d9ccefd87661"},
{file = "APScheduler-3.10.4.tar.gz", hash =
"sha256:e6df071b27d9be898e486bc7940a7be50b4af2e9da7c08f0744a96d4bd4cef4a"},
@@ -242,19 +234,18 @@ description = "Classes Without Boilerplate"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "attrs-24.3.0-py3-none-any.whl", hash =
"sha256:ac96cd038792094f438ad1f6ff80837353805ac950cd2aa0e0625ef19850c308"},
{file = "attrs-24.3.0.tar.gz", hash =
"sha256:8f5c07333d543103541ba7be0e2ce16eeee8130cb0b3f9238ab904ce1e85baff"},
]
[package.extras]
-benchmark = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler",
"pytest (>=4.3.0)", "pytest-codspeed", "pytest-mypy-plugins",
"pytest-xdist[psutil]"]
-cov = ["cloudpickle", "coverage[toml] (>=5.3)", "hypothesis", "mypy
(>=1.11.1)", "pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins",
"pytest-xdist[psutil]"]
-dev = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pre-commit-uv",
"pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
+benchmark = ["cloudpickle ; platform_python_implementation == \"CPython\"",
"hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\"
and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)",
"pytest-codspeed", "pytest-mypy-plugins ; platform_python_implementation ==
\"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+cov = ["cloudpickle ; platform_python_implementation == \"CPython\"",
"coverage[toml] (>=5.3)", "hypothesis", "mypy (>=1.11.1) ;
platform_python_implementation == \"CPython\" and python_version >= \"3.10\"",
"pympler", "pytest (>=4.3.0)", "pytest-mypy-plugins ;
platform_python_implementation == \"CPython\" and python_version >= \"3.10\"",
"pytest-xdist[psutil]"]
+dev = ["cloudpickle ; platform_python_implementation == \"CPython\"",
"hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\"
and python_version >= \"3.10\"", "pre-commit-uv", "pympler", "pytest
(>=4.3.0)", "pytest-mypy-plugins ; platform_python_implementation ==
\"CPython\" and python_version >= \"3.10\"", "pytest-xdist[psutil]"]
docs = ["cogapp", "furo", "myst-parser", "sphinx", "sphinx-notfound-page",
"sphinxcontrib-towncrier", "towncrier (<24.7)"]
-tests = ["cloudpickle", "hypothesis", "mypy (>=1.11.1)", "pympler", "pytest
(>=4.3.0)", "pytest-mypy-plugins", "pytest-xdist[psutil]"]
-tests-mypy = ["mypy (>=1.11.1)", "pytest-mypy-plugins"]
+tests = ["cloudpickle ; platform_python_implementation == \"CPython\"",
"hypothesis", "mypy (>=1.11.1) ; platform_python_implementation == \"CPython\"
and python_version >= \"3.10\"", "pympler", "pytest (>=4.3.0)",
"pytest-mypy-plugins ; platform_python_implementation == \"CPython\" and
python_version >= \"3.10\"", "pytest-xdist[psutil]"]
+tests-mypy = ["mypy (>=1.11.1) ; platform_python_implementation == \"CPython\"
and python_version >= \"3.10\"", "pytest-mypy-plugins ;
platform_python_implementation == \"CPython\" and python_version >= \"3.10\""]
[[package]]
name = "bce-python-sdk"
@@ -263,7 +254,6 @@ description = "BCE SDK for python"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "bce_python_sdk-0.9.25-py3-none-any.whl", hash =
"sha256:cd1ab4c887e163adba6bfb3cd40465a365e5f4255705a015b0cdbe768e649877"},
{file = "bce_python_sdk-0.9.25.tar.gz", hash =
"sha256:93a0623fbb1bf3a58b4f2d7bdbd799a3b342a538f0c72950c77168e431470e86"},
@@ -281,7 +271,6 @@ description = "Python package for providing Mozilla's CA
Bundle."
optional = false
python-versions = ">=3.6"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "certifi-2024.12.14-py3-none-any.whl", hash =
"sha256:1275f7a45be9464efc1173084eaa30f866fe2e47d389406136d332ed4967ec56"},
{file = "certifi-2024.12.14.tar.gz", hash =
"sha256:b650d30f370c2b724812bee08008be0c4163b163ddaec3f2546c1caf65f191db"},
@@ -294,7 +283,6 @@ description = "The Real First Universal Charset Detector.
Open, modern and activ
optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl",
hash =
"sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
{file =
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hash =
"sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -397,7 +385,6 @@ description = "Composable command line interface toolkit"
optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "click-8.1.8-py3-none-any.whl", hash =
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{file = "click-8.1.8.tar.gz", hash =
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@@ -413,7 +400,7 @@ description = "Cross-platform colored terminal text."
optional = false
python-versions =
"!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
groups = ["main"]
-markers = "python_version <= \"3.11\" and platform_system == \"Windows\""
+markers = "platform_system == \"Windows\""
files = [
{file = "colorama-0.4.6-py2.py3-none-any.whl", hash =
"sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"},
{file = "colorama-0.4.6.tar.gz", hash =
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@@ -426,7 +413,6 @@ description = "Decorators for Humans"
optional = false
python-versions = ">=3.5"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "decorator-5.1.1-py3-none-any.whl", hash =
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{file = "decorator-5.1.1.tar.gz", hash =
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@@ -439,7 +425,6 @@ description = "serialize all of Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "dill-0.3.9-py3-none-any.whl", hash =
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{file = "dill-0.3.9.tar.gz", hash =
"sha256:81aa267dddf68cbfe8029c42ca9ec6a4ab3b22371d1c450abc54422577b4512c"},
@@ -456,7 +441,6 @@ description = "Disk Cache -- Disk and file backed
persistent cache."
optional = false
python-versions = ">=3"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "diskcache-5.6.3-py3-none-any.whl", hash =
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{file = "diskcache-5.6.3.tar.gz", hash =
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@@ -469,7 +453,6 @@ description = "Distro - an OS platform information API"
optional = false
python-versions = ">=3.6"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "distro-1.9.0-py3-none-any.whl", hash =
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{file = "distro-1.9.0.tar.gz", hash =
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@@ -482,7 +465,6 @@ description = "An implementation of lxml.xmlfile for the
standard library"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "et_xmlfile-2.0.0-py3-none-any.whl", hash =
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{file = "et_xmlfile-2.0.0.tar.gz", hash =
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@@ -511,7 +493,6 @@ description = "A library for efficient similarity search
and clustering of dense
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "faiss_cpu-1.8.0.post1-cp310-cp310-macosx_10_14_x86_64.whl", hash
= "sha256:fd84721eb599aa1da19b1b36345bb8705a60bb1d2887bbbc395a29e3d36a1a62"},
{file = "faiss_cpu-1.8.0.post1-cp310-cp310-macosx_11_0_arm64.whl", hash =
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@@ -552,7 +533,6 @@ description = "FastAPI framework, high performance, easy to
learn, fast to code,
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "fastapi-0.115.6-py3-none-any.whl", hash =
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{file = "fastapi-0.115.6.tar.gz", hash =
"sha256:9ec46f7addc14ea472958a96aae5b5de65f39721a46aaf5705c480d9a8b76654"},
@@ -574,7 +554,6 @@ description = "A simple Python wrapper for FFmpeg"
optional = false
python-versions = "<4.0,>=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "ffmpy-0.5.0-py3-none-any.whl", hash =
"sha256:df3799cf5816daa56d4959a023630ee53c6768b66009dae6d131519ba4b80233"},
{file = "ffmpy-0.5.0.tar.gz", hash =
"sha256:277e131f246d18e9dcfee9bb514c50749031c43582ce5ef82c57b51e3d3955c3"},
@@ -587,7 +566,6 @@ description = "A platform independent file lock."
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "filelock-3.16.1-py3-none-any.whl", hash =
"sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0"},
{file = "filelock-3.16.1.tar.gz", hash =
"sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"},
@@ -596,7 +574,7 @@ files = [
[package.extras]
docs = ["furo (>=2024.8.6)", "sphinx (>=8.0.2)", "sphinx-autodoc-typehints
(>=2.4.1)"]
testing = ["covdefaults (>=2.3)", "coverage (>=7.6.1)", "diff-cover (>=9.2)",
"pytest (>=8.3.3)", "pytest-asyncio (>=0.24)", "pytest-cov (>=5)", "pytest-mock
(>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.26.4)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
[[package]]
name = "frozenlist"
@@ -605,7 +583,6 @@ description = "A list-like structure which implements
collections.abc.MutableSeq
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_universal2.whl", hash =
"sha256:5b6a66c18b5b9dd261ca98dffcb826a525334b2f29e7caa54e182255c5f6a65a"},
{file = "frozenlist-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash =
"sha256:d1b3eb7b05ea246510b43a7e53ed1653e55c2121019a97e60cad7efb881a97bb"},
@@ -708,7 +685,6 @@ description = "File-system specification"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "fsspec-2024.12.0-py3-none-any.whl", hash =
"sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"},
{file = "fsspec-2024.12.0.tar.gz", hash =
"sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f"},
@@ -749,7 +725,6 @@ description = "Clean single-source support for Python 3 and
2"
optional = false
python-versions = ">=2.6, !=3.0.*, !=3.1.*, !=3.2.*"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "future-1.0.0-py3-none-any.whl", hash =
"sha256:929292d34f5872e70396626ef385ec22355a1fae8ad29e1a734c3e43f9fbc216"},
{file = "future-1.0.0.tar.gz", hash =
"sha256:bd2968309307861edae1458a4f8a4f3598c03be43b97521076aebf5d94c07b05"},
@@ -762,7 +737,6 @@ description = "Python library for easily interacting with
trained machine learni
optional = false
python-versions = ">=3.10"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "gradio-5.12.0-py3-none-any.whl", hash =
"sha256:b4b79a2c537131a8a5e23046565e64da40156ac24f9082e563e734e89641e160"},
]
@@ -806,7 +780,6 @@ description = "Python library for easily interacting with
trained machine learni
optional = false
python-versions = ">=3.10"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "gradio_client-1.5.4-py3-none-any.whl", hash =
"sha256:ad38c9a6f7fc590e822627f5bf5685321a7822b8f1a88b76d00a0621a43162d6"},
{file = "gradio_client-1.5.4.tar.gz", hash =
"sha256:281a1b6c4e45210c70b60888bb6f329c27f30645d7aa376e1f20966de82273dc"},
@@ -827,7 +800,6 @@ description = "A pure-Python, bring-your-own-I/O
implementation of HTTP/1.1"
optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "h11-0.14.0-py3-none-any.whl", hash =
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{file = "h11-0.14.0.tar.gz", hash =
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@@ -840,7 +812,6 @@ description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "httpcore-1.0.7-py3-none-any.whl", hash =
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{file = "httpcore-1.0.7.tar.gz", hash =
"sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
@@ -863,7 +834,6 @@ description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "httpx-0.27.2-py3-none-any.whl", hash =
"sha256:7bb2708e112d8fdd7829cd4243970f0c223274051cb35ee80c03301ee29a3df0"},
{file = "httpx-0.27.2.tar.gz", hash =
"sha256:f7c2be1d2f3c3c3160d441802406b206c2b76f5947b11115e6df10c6c65e66c2"},
@@ -877,7 +847,7 @@ idna = "*"
sniffio = "*"
[package.extras]
-brotli = ["brotli", "brotlicffi"]
+brotli = ["brotli ; platform_python_implementation == \"CPython\"",
"brotlicffi ; platform_python_implementation != \"CPython\""]
cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
@@ -890,7 +860,6 @@ description = "A Python SDK for Apache HugeGraph"
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = []
develop = true
@@ -912,7 +881,6 @@ description = "Client library to download and publish
models, datasets and other
optional = false
python-versions = ">=3.8.0"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "huggingface_hub-0.27.1-py3-none-any.whl", hash =
"sha256:1c5155ca7d60b60c2e2fc38cbb3ffb7f7c3adf48f824015b219af9061771daec"},
{file = "huggingface_hub-0.27.1.tar.gz", hash =
"sha256:c004463ca870283909d715d20f066ebd6968c2207dae9393fdffb3c1d4d8f98b"},
@@ -948,7 +916,6 @@ description = "Internationalized Domain Names in
Applications (IDNA)"
optional = false
python-versions = ">=3.6"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "idna-3.10-py3-none-any.whl", hash =
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{file = "idna-3.10.tar.gz", hash =
"sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -957,6 +924,30 @@ files = [
[package.extras]
all = ["flake8 (>=7.1.1)", "mypy (>=1.11.2)", "pytest (>=8.3.2)", "ruff
(>=0.6.2)"]
+[[package]]
+name = "importlib-metadata"
+version = "8.6.1"
+description = "Read metadata from Python packages"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+ {file = "importlib_metadata-8.6.1-py3-none-any.whl", hash =
"sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e"},
+ {file = "importlib_metadata-8.6.1.tar.gz", hash =
"sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580"},
+]
+
+[package.dependencies]
+zipp = ">=3.20"
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform !=
\"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)",
"rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+perf = ["ipython"]
+test = ["flufl.flake8", "importlib_resources (>=1.3) ; python_version <
\"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest
(>=6,!=8.1.*)", "pytest-perf (>=0.9.2)"]
+type = ["pytest-mypy"]
+
[[package]]
name = "jieba"
version = "0.42.1"
@@ -964,7 +955,6 @@ description = "Chinese Words Segmentation Utilities"
optional = false
python-versions = "*"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "jieba-0.42.1.tar.gz", hash =
"sha256:055ca12f62674fafed09427f176506079bc135638a14e23e25be909131928db2"},
]
@@ -976,7 +966,6 @@ description = "A very fast and expressive template engine."
optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "jinja2-3.1.5-py3-none-any.whl", hash =
"sha256:aba0f4dc9ed8013c424088f68a5c226f7d6097ed89b246d7749c2ec4175c6adb"},
{file = "jinja2-3.1.5.tar.gz", hash =
"sha256:8fefff8dc3034e27bb80d67c671eb8a9bc424c0ef4c0826edbff304cceff43bb"},
@@ -995,7 +984,6 @@ description = "Fast iterable JSON parser."
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "jiter-0.8.2-cp310-cp310-macosx_10_12_x86_64.whl", hash =
"sha256:ca8577f6a413abe29b079bc30f907894d7eb07a865c4df69475e868d73e71c7b"},
{file = "jiter-0.8.2-cp310-cp310-macosx_11_0_arm64.whl", hash =
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@@ -1082,7 +1070,6 @@ description = "Lightweight pipelining with Python
functions"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "joblib-1.4.2-py3-none-any.whl", hash =
"sha256:06d478d5674cbc267e7496a410ee875abd68e4340feff4490bcb7afb88060ae6"},
{file = "joblib-1.4.2.tar.gz", hash =
"sha256:2382c5816b2636fbd20a09e0f4e9dad4736765fdfb7dca582943b9c1366b3f0e"},
@@ -1095,7 +1082,6 @@ description = "Apply JSON-Patches (RFC 6902)"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*,
!=3.5.*, !=3.6.*"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "jsonpatch-1.33-py2.py3-none-any.whl", hash =
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{file = "jsonpatch-1.33.tar.gz", hash =
"sha256:9fcd4009c41e6d12348b4a0ff2563ba56a2923a7dfee731d004e212e1ee5030c"},
@@ -1111,12 +1097,48 @@ description = "Identify specific nodes in a JSON
document (RFC 6901)"
optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "jsonpointer-3.0.0-py2.py3-none-any.whl", hash =
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{file = "jsonpointer-3.0.0.tar.gz", hash =
"sha256:2b2d729f2091522d61c3b31f82e11870f60b68f43fbc705cb76bf4b832af59ef"},
]
+[[package]]
+name = "jsonschema"
+version = "4.23.0"
+description = "An implementation of JSON Schema validation for Python"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+files = [
+ {file = "jsonschema-4.23.0-py3-none-any.whl", hash =
"sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
+ {file = "jsonschema-4.23.0.tar.gz", hash =
"sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
+]
+
+[package.dependencies]
+attrs = ">=22.2.0"
+jsonschema-specifications = ">=2023.03.6"
+referencing = ">=0.28.4"
+rpds-py = ">=0.7.1"
+
+[package.extras]
+format = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)",
"rfc3339-validator", "rfc3987", "uri-template", "webcolors (>=1.11)"]
+format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)",
"rfc3339-validator", "rfc3986-validator (>0.1.0)", "uri-template", "webcolors
(>=24.6.0)"]
+
+[[package]]
+name = "jsonschema-specifications"
+version = "2024.10.1"
+description = "The JSON Schema meta-schemas and vocabularies, exposed as a
Registry"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+ {file = "jsonschema_specifications-2024.10.1-py3-none-any.whl", hash =
"sha256:a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf"},
+ {file = "jsonschema_specifications-2024.10.1.tar.gz", hash =
"sha256:0f38b83639958ce1152d02a7f062902c41c8fd20d558b0c34344292d417ae272"},
+]
+
+[package.dependencies]
+referencing = ">=0.31.0"
+
[[package]]
name = "langchain-core"
version = "0.2.43"
@@ -1124,7 +1146,6 @@ description = "Building applications with LLMs through
composability"
optional = false
python-versions = "<4.0,>=3.8.1"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "langchain_core-0.2.43-py3-none-any.whl", hash =
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{file = "langchain_core-0.2.43.tar.gz", hash =
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@@ -1146,7 +1167,6 @@ description = "LangChain text splitting utilities"
optional = false
python-versions = "<4.0,>=3.8.1"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "langchain_text_splitters-0.2.4-py3-none-any.whl", hash =
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{file = "langchain_text_splitters-0.2.4.tar.gz", hash =
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@@ -1162,7 +1182,6 @@ description = "Client library to connect to the LangSmith
LLM Tracing and Evalua
optional = false
python-versions = "<4.0,>=3.8.1"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "langsmith-0.1.147-py3-none-any.whl", hash =
"sha256:7166fc23b965ccf839d64945a78e9f1157757add228b086141eb03a60d699a15"},
{file = "langsmith-0.1.147.tar.gz", hash =
"sha256:2e933220318a4e73034657103b3b1a3a6109cc5db3566a7e8e03be8d6d7def7a"},
@@ -1178,6 +1197,35 @@ requests-toolbelt = ">=1.0.0,<2.0.0"
[package.extras]
langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
+[[package]]
+name = "litellm"
+version = "1.61.16"
+description = "Library to easily interface with LLM API providers"
+optional = false
+python-versions =
"!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
+groups = ["main"]
+files = [
+ {file = "litellm-1.61.16-py3-none-any.whl", hash =
"sha256:d241436ac0edf64ec57fb5686f8d84a25998a7e52213d9063adf87df8432701f"},
+ {file = "litellm-1.61.16.tar.gz", hash =
"sha256:02df5865f98ea9734a4d27ac7c33aad9a45c4015403d5c0797d3292ade3c5cb5"},
+]
+
+[package.dependencies]
+aiohttp = "*"
+click = "*"
+httpx = ">=0.23.0"
+importlib-metadata = ">=6.8.0"
+jinja2 = ">=3.1.2,<4.0.0"
+jsonschema = ">=4.22.0,<5.0.0"
+openai = ">=1.61.0"
+pydantic = ">=2.0.0,<3.0.0"
+python-dotenv = ">=0.2.0"
+tiktoken = ">=0.7.0"
+tokenizers = "*"
+
+[package.extras]
+extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets
(>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)",
"resend (>=0.8.0,<0.9.0)"]
+proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff",
"cryptography (>=43.0.1,<44.0.0)", "fastapi (>=0.115.5,<0.116.0)", "fastapi-sso
(>=0.16.0,<0.17.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)",
"pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.18,<0.0.19)", "pyyaml
(>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.29.0,<0.30.0)", "uvloop
(>=0.21.0,<0.22.0)"]
+
[[package]]
name = "lxml"
version = "5.3.0"
@@ -1185,7 +1233,6 @@ description = "Powerful and Pythonic XML processing
library combining libxml2/li
optional = false
python-versions = ">=3.6"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "lxml-5.3.0-cp310-cp310-macosx_10_9_universal2.whl", hash =
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{file = "lxml-5.3.0-cp310-cp310-macosx_10_9_x86_64.whl", hash =
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@@ -1341,7 +1388,6 @@ description = "Python port of markdown-it. Markdown
parsing, done right!"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "markdown-it-py-3.0.0.tar.gz", hash =
"sha256:e3f60a94fa066dc52ec76661e37c851cb232d92f9886b15cb560aaada2df8feb"},
{file = "markdown_it_py-3.0.0-py3-none-any.whl", hash =
"sha256:355216845c60bd96232cd8d8c40e8f9765cc86f46880e43a8fd22dc1a1a8cab1"},
@@ -1367,7 +1413,6 @@ description = "Safely add untrusted strings to HTML/XML
markup."
optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_universal2.whl", hash =
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{file = "MarkupSafe-2.1.5-cp310-cp310-macosx_10_9_x86_64.whl", hash =
"sha256:72b6be590cc35924b02c78ef34b467da4ba07e4e0f0454a2c5907f473fc50ce5"},
@@ -1438,7 +1483,6 @@ description = "Markdown URL utilities"
optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "mdurl-0.1.2-py3-none-any.whl", hash =
"sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
{file = "mdurl-0.1.2.tar.gz", hash =
"sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -1451,7 +1495,6 @@ description = "multidict implementation"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "multidict-6.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash =
"sha256:3380252550e372e8511d49481bd836264c009adb826b23fefcc5dd3c69692f60"},
{file = "multidict-6.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash =
"sha256:99f826cbf970077383d7de805c0681799491cb939c25450b9b5b3ced03ca99f1"},
@@ -1557,7 +1600,6 @@ description = "better multiprocessing and multithreading
in Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "multiprocess-0.70.17-pp310-pypy310_pp73-macosx_10_15_x86_64.whl",
hash =
"sha256:7ddb24e5bcdb64e90ec5543a1f05a39463068b6d3b804aa3f2a4e16ec28562d6"},
{file = "multiprocess-0.70.17-pp310-pypy310_pp73-macosx_11_0_arm64.whl",
hash =
"sha256:d729f55198a3579f6879766a6d9b72b42d4b320c0dcb7844afb774d75b573c62"},
@@ -1587,7 +1629,6 @@ description = "Natural Language Toolkit"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "nltk-3.9.1-py3-none-any.whl", hash =
"sha256:4fa26829c5b00715afe3061398a8989dc643b92ce7dd93fb4585a70930d168a1"},
{file = "nltk-3.9.1.tar.gz", hash =
"sha256:87d127bd3de4bd89a4f81265e5fa59cb1b199b27440175370f7417d2bc7ae868"},
@@ -1614,7 +1655,6 @@ description = "Fundamental package for array computing in
Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -1653,7 +1693,6 @@ description = "The official Python client for Ollama."
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python-versions = "<4.0,>=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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[[package]]
name = "openai"
-version = "1.47.1"
+version = "1.61.1"
description = "The official Python library for the openai API"
optional = false
-python-versions = ">=3.7.1"
+python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
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@@ -1687,6 +1725,7 @@ typing-extensions = ">=4.11,<5"
[package.extras]
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
+realtime = ["websockets (>=13,<15)"]
[[package]]
name = "openpyxl"
@@ -1695,7 +1734,6 @@ description = "A Python library to read/write Excel 2010
xlsx/xlsm files"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
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@@ -1711,7 +1749,6 @@ description = "Fast, correct Python JSON library
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python-versions = ">=3.8"
groups = ["main"]
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@@ -1797,7 +1834,6 @@ description = "Core utilities for Python packages"
optional = false
python-versions = ">=3.8"
groups = ["main"]
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@@ -1810,7 +1846,6 @@ description = "Powerful data structures for data
analysis, time series, and stat
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -1884,7 +1919,6 @@ description = "Python Imaging Library (Fork)"
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -1964,7 +1998,7 @@ docs = ["furo", "olefile", "sphinx (>=8.1)",
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fpx = ["olefile"]
mic = ["olefile"]
tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2",
"olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout",
"trove-classifiers (>=2024.10.12)"]
-typing = ["typing-extensions"]
+typing = ["typing-extensions ; python_version < \"3.10\""]
xmp = ["defusedxml"]
[[package]]
@@ -1974,7 +2008,6 @@ description = "Library for building powerful interactive
command lines in Python
optional = false
python-versions = ">=3.7.0"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -1990,7 +2023,6 @@ description = "Accelerated property cache"
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2083,7 +2115,6 @@ description = "library with cross-python path,
ini-parsing, io, code, log facili
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
groups = ["main"]
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files = [
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@@ -2096,7 +2127,6 @@ description = "Python library for Apache Arrow"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2149,7 +2179,6 @@ description = "Cryptographic library for Python"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,>=2.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2192,7 +2221,6 @@ description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2205,7 +2233,7 @@ typing-extensions = ">=4.12.2"
[package.extras]
email = ["email-validator (>=2.0.0)"]
-timezone = ["tzdata"]
+timezone = ["tzdata ; python_version >= \"3.9\" and platform_system ==
\"Windows\""]
[[package]]
name = "pydantic-core"
@@ -2214,7 +2242,6 @@ description = "Core functionality for Pydantic validation
and serialization"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2328,7 +2355,6 @@ description = "Settings management using Pydantic"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2350,7 +2376,6 @@ description = "Manipulate audio with an simple and easy
high level interface"
optional = false
python-versions = "*"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2363,7 +2388,6 @@ description = "Pygments is a syntax highlighting package
written in Python."
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2379,7 +2403,6 @@ description = "Extensions to the standard Python datetime
module"
optional = false
python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2395,7 +2418,6 @@ description = "Create, read, and update Microsoft Word
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optional = false
python-versions = ">=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2412,7 +2434,6 @@ description = "Read key-value pairs from a .env file and
set them as environment
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2428,7 +2449,6 @@ description = "A streaming multipart parser for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2441,7 +2461,6 @@ description = "World timezone definitions, modern and
historical"
optional = false
python-versions = "*"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2454,7 +2473,6 @@ description = "YAML parser and emitter for Python"
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2518,7 +2536,6 @@ description = "文心千帆大模型平台 Python SDK"
optional = false
python-versions = "<4,>=3.7"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2541,12 +2558,29 @@ typer = ">=0.9.0"
typing-extensions = {version = ">=4.0.0", markers = "python_full_version <=
\"3.10.0\""}
[package.extras]
-all = ["emoji", "fastapi", "filelock", "ijson", "langchain (>=0.1.10)",
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-dataset-base = ["filelock", "ijson", "locust", "numpy (<1.22.0)", "numpy
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(>=2.8.2,<3.0.0)", "tabulate"]
-langchain = ["langchain (>=0.1.10)", "langchain-community"]
-local-data-clean = ["emoji", "filelock", "ijson", "locust", "ltp", "numpy
(<1.22.0)", "numpy (>=1.22.0)", "pyarrow (<=12.0.1)", "pyarrow (>=14.0.1)",
"python-dateutil (>=2.8.2,<3.0.0)", "sentencepiece", "tabulate", "torch",
"torch (<=1.13.1)"]
+all = ["emoji", "fastapi", "filelock", "ijson", "langchain (>=0.1.10) ;
python_full_version >= \"3.8.1\"", "langchain-community ; python_full_version
>= \"3.8.1\"", "locust", "ltp", "numpy (<1.22.0) ; python_version == \"3.7\"",
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"python-dateutil (>=2.8.2,<3.0.0)", "sentencepiece", "tabulate", "torch
(<=1.13.1) ; python_version < \"3.8\"", "to [...]
+dataset-base = ["filelock", "ijson", "locust", "numpy (<1.22.0) ;
python_version == \"3.7\"", "numpy (>=1.22.0) ; python_version >= \"3.8\"",
"pyarrow (<=12.0.1) ; python_version == \"3.7\"", "pyarrow (>=14.0.1) ;
python_version >= \"3.8\"", "python-dateutil (>=2.8.2,<3.0.0)", "tabulate"]
+langchain = ["langchain (>=0.1.10) ; python_full_version >= \"3.8.1\"",
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+local-data-clean = ["emoji", "filelock", "ijson", "locust", "ltp", "numpy
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"sentencepiece", "tabulate", "torch (<=1.13.1) ; python_version < \"3.8\"",
"torch ; python_version >= \"3.8\""]
openai = ["fastapi", "uvicorn"]
+[[package]]
+name = "referencing"
+version = "0.36.2"
+description = "JSON Referencing + Python"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
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+[package.dependencies]
+attrs = ">=22.2.0"
+rpds-py = ">=0.7.0"
+typing-extensions = {version = ">=4.4.0", markers = "python_version <
\"3.13\""}
+
[[package]]
name = "regex"
version = "2024.11.6"
@@ -2554,7 +2588,6 @@ description = "Alternative regular expression module, to
replace re."
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2659,7 +2692,6 @@ description = "Python HTTP for Humans."
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
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@@ -2682,7 +2714,6 @@ description = "A utility belt for advanced users of
python-requests"
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{file = "tzlocal-5.2.tar.gz", hash =
"sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"},
@@ -3042,14 +3202,13 @@ description = "HTTP library with thread-safe connection
pooling, file post, and
optional = false
python-versions = ">=3.8"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "urllib3-2.2.3-py3-none-any.whl", hash =
"sha256:ca899ca043dcb1bafa3e262d73aa25c465bfb49e0bd9dd5d59f1d0acba2f8fac"},
{file = "urllib3-2.2.3.tar.gz", hash =
"sha256:e7d814a81dad81e6caf2ec9fdedb284ecc9c73076b62654547cc64ccdcae26e9"},
]
[package.extras]
-brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"",
"brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
h2 = ["h2 (>=4,<5)"]
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
zstd = ["zstandard (>=0.18.0)"]
@@ -3061,7 +3220,7 @@ description = "The lightning-fast ASGI server."
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\" and sys_platform != \"emscripten\""
+markers = "sys_platform != \"emscripten\""
files = [
{file = "uvicorn-0.34.0-py3-none-any.whl", hash =
"sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"},
{file = "uvicorn-0.34.0.tar.gz", hash =
"sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"},
@@ -3073,7 +3232,7 @@ h11 = ">=0.8"
typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
[package.extras]
-standard = ["colorama (>=0.4)", "httptools (>=0.6.3)", "python-dotenv
(>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles
(>=0.13)", "websockets (>=10.4)"]
+standard = ["colorama (>=0.4) ; sys_platform == \"win32\"", "httptools
(>=0.6.3)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop
(>=0.14.0,!=0.15.0,!=0.15.1) ; sys_platform != \"win32\" and sys_platform !=
\"cygwin\" and platform_python_implementation != \"PyPy\"", "watchfiles
(>=0.13)", "websockets (>=10.4)"]
[[package]]
name = "wcwidth"
@@ -3082,7 +3241,6 @@ description = "Measures the displayed width of unicode
strings in a terminal"
optional = false
python-versions = "*"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash =
"sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
{file = "wcwidth-0.2.13.tar.gz", hash =
"sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
@@ -3095,7 +3253,6 @@ description = "An implementation of the WebSocket
Protocol (RFC 6455 & 7692)"
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "websockets-14.1-cp310-cp310-macosx_10_9_universal2.whl", hash =
"sha256:a0adf84bc2e7c86e8a202537b4fd50e6f7f0e4a6b6bf64d7ccb96c4cd3330b29"},
{file = "websockets-14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash =
"sha256:90b5d9dfbb6d07a84ed3e696012610b6da074d97453bd01e0e30744b472c8179"},
@@ -3175,7 +3332,6 @@ description = "Yet another URL library"
optional = false
python-versions = ">=3.9"
groups = ["main"]
-markers = "python_version <= \"3.11\""
files = [
{file = "yarl-1.18.3-cp310-cp310-macosx_10_9_universal2.whl", hash =
"sha256:7df647e8edd71f000a5208fe6ff8c382a1de8edfbccdbbfe649d263de07d8c34"},
{file = "yarl-1.18.3-cp310-cp310-macosx_10_9_x86_64.whl", hash =
"sha256:c69697d3adff5aa4f874b19c0e4ed65180ceed6318ec856ebc423aa5850d84f7"},
@@ -3266,7 +3422,27 @@ idna = ">=2.0"
multidict = ">=4.0"
propcache = ">=0.2.0"
+[[package]]
+name = "zipp"
+version = "3.21.0"
+description = "Backport of pathlib-compatible object wrapper for zip files"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+ {file = "zipp-3.21.0-py3-none-any.whl", hash =
"sha256:ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931"},
+ {file = "zipp-3.21.0.tar.gz", hash =
"sha256:2c9958f6430a2040341a52eb608ed6dd93ef4392e02ffe219417c1b28b5dd1f4"},
+]
+
+[package.extras]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform !=
\"cygwin\""]
+cover = ["pytest-cov"]
+doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)",
"rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+enabler = ["pytest-enabler (>=2.2)"]
+test = ["big-O", "importlib-resources ; python_version < \"3.9\"",
"jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools",
"pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+type = ["pytest-mypy"]
+
[metadata]
lock-version = "2.1"
python-versions = "^3.10,<3.12"
-content-hash =
"d6c44c529a73d5ddeb8429b23e06bb944c13e3c4de5d1cc76b65f9fedd919108"
+content-hash =
"b6287d2cfb6e1f429fe13dcb799dec99ddeeff1ee394620dc73c00488ce62751"
diff --git a/hugegraph-llm/pyproject.toml b/hugegraph-llm/pyproject.toml
index 4829648..d12054f 100644
--- a/hugegraph-llm/pyproject.toml
+++ b/hugegraph-llm/pyproject.toml
@@ -24,7 +24,7 @@ authors = [
]
readme = "README.md"
license = "Apache-2.0"
-requires-python = "^3.10"
+requires-python = ">=3.10,<3.12"
maintainers = [
{ name = "Apache HugeGraph Contributors", email =
"[email protected]" },
]
@@ -38,7 +38,7 @@ documentation =
"https://hugegraph.apache.org/docs/quickstart/hugegraph-ai/";
[tool.poetry.dependencies]
python = "^3.10,<3.12"
-openai = "~1.47.1"
+openai = "~1.61.0"
ollama = "~0.2.1"
qianfan = "~0.3.18"
retry = "~0.9.2"
@@ -61,6 +61,7 @@ setuptools = "~70.0.0"
urllib3 = "~2.2.2"
rich = "~13.9.4"
apscheduler= "~3.10.4"
+litellm = "~1.61.13"
hugegraph-python = { path = "../hugegraph-python-client/", develop = true }
[build-system]
diff --git a/hugegraph-llm/requirements.txt b/hugegraph-llm/requirements.txt
index 5f369f8..64dd382 100644
--- a/hugegraph-llm/requirements.txt
+++ b/hugegraph-llm/requirements.txt
@@ -1,4 +1,4 @@
-openai~=1.47.1
+openai~=1.61.0
ollama~=0.2.1
qianfan~=0.3.18
retry~=0.9.2
@@ -16,3 +16,4 @@ pandas~=2.2.2
openpyxl~=3.1.5
pydantic-settings~=2.6.1
apscheduler~=3.10.4
+litellm~=1.61.13
diff --git a/hugegraph-llm/src/hugegraph_llm/config/llm_config.py
b/hugegraph-llm/src/hugegraph_llm/config/llm_config.py
index 45cf4a6..5e314bd 100644
--- a/hugegraph-llm/src/hugegraph_llm/config/llm_config.py
+++ b/hugegraph-llm/src/hugegraph_llm/config/llm_config.py
@@ -25,10 +25,10 @@ from .models import BaseConfig
class LLMConfig(BaseConfig):
"""LLM settings"""
- chat_llm_type: Literal["openai", "ollama/local", "qianfan_wenxin",
"zhipu"] = "openai"
- extract_llm_type: Literal["openai", "ollama/local", "qianfan_wenxin",
"zhipu"] = "openai"
- text2gql_llm_type: Literal["openai", "ollama/local", "qianfan_wenxin",
"zhipu"] = "openai"
- embedding_type: Optional[Literal["openai", "ollama/local",
"qianfan_wenxin", "zhipu"]] = "openai"
+ chat_llm_type: Literal["openai", "litellm", "ollama/local",
"qianfan_wenxin"] = "openai"
+ extract_llm_type: Literal["openai", "litellm", "ollama/local",
"qianfan_wenxin"] = "openai"
+ text2gql_llm_type: Literal["openai", "litellm", "ollama/local",
"qianfan_wenxin"] = "openai"
+ embedding_type: Optional[Literal["openai", "litellm", "ollama/local",
"qianfan_wenxin"]] = "openai"
reranker_type: Optional[Literal["cohere", "siliconflow"]] = None
# 1. OpenAI settings
openai_chat_api_base: Optional[str] = os.environ.get("OPENAI_BASE_URL",
"https://api.openai.com/v1";)
@@ -84,14 +84,19 @@ class LLMConfig(BaseConfig):
qianfan_embed_url: Optional[str] = qianfan_url_prefix + "/embeddings/"
# refer https://cloud.baidu.com/doc/WENXINWORKSHOP/s/alj562vvu to get more
details
qianfan_embedding_model: Optional[str] = "embedding-v1"
- # TODO: To be confirmed, whether to configure
- # 5. ZhiPu(GLM) settings
- zhipu_chat_api_key: Optional[str] = None
- zhipu_chat_language_model: Optional[str] = "glm-4"
- zhipu_chat_embedding_model: Optional[str] = "embedding-2"
- zhipu_extract_api_key: Optional[str] = None
- zhipu_extract_language_model: Optional[str] = "glm-4"
- zhipu_extract_embedding_model: Optional[str] = "embedding-2"
- zhipu_text2gql_api_key: Optional[str] = None
- zhipu_text2gql_language_model: Optional[str] = "glm-4"
- zhipu_text2gql_embedding_model: Optional[str] = "embedding-2"
+ # 5. LiteLLM settings
+ litellm_chat_api_key: Optional[str] = None
+ litellm_chat_api_base: Optional[str] = None
+ litellm_chat_language_model: Optional[str] = "openai/gpt-4o"
+ litellm_chat_tokens: int = 8192
+ litellm_extract_api_key: Optional[str] = None
+ litellm_extract_api_base: Optional[str] = None
+ litellm_extract_language_model: Optional[str] = "openai/gpt-4o"
+ litellm_extract_tokens: int = 256
+ litellm_text2gql_api_key: Optional[str] = None
+ litellm_text2gql_api_base: Optional[str] = None
+ litellm_text2gql_language_model: Optional[str] = "openai/gpt-4o"
+ litellm_text2gql_tokens: int = 4096
+ litellm_embedding_api_key: Optional[str] = None
+ litellm_embedding_api_base: Optional[str] = None
+ litellm_embedding_model: Optional[str] = "openai/text-embedding-3-small"
diff --git a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py
b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py
index bc66ba5..74527d1 100644
--- a/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py
+++ b/hugegraph-llm/src/hugegraph_llm/demo/rag_demo/configs_block.py
@@ -24,11 +24,44 @@ import requests
from requests.auth import HTTPBasicAuth
from hugegraph_llm.config import huge_settings, llm_settings
+from hugegraph_llm.models.embeddings.litellm import LiteLLMEmbedding
+from hugegraph_llm.models.llms.litellm import LiteLLMClient
from hugegraph_llm.utils.log import log
current_llm = "chat"
+def test_litellm_embedding(api_key, api_base, model_name) -> int:
+ llm_client = LiteLLMEmbedding(
+ api_key = api_key,
+ api_base = api_base,
+ model_name = model_name,
+ )
+ try:
+ response = llm_client.get_text_embedding("test")
+ assert len(response) > 0
+ except Exception as e:
+ raise gr.Error(f"Error in litellm embedding call: {e}") from e
+ gr.Info("Test connection successful~")
+ return 200
+
+
+def test_litellm_chat(api_key, api_base, model_name, max_tokens: int) -> int:
+ try:
+ llm_client = LiteLLMClient(
+ api_key=api_key,
+ api_base=api_base,
+ model_name=model_name,
+ max_tokens=max_tokens,
+ )
+ response = llm_client.generate(messages=[{"role": "user", "content":
"hi"}])
+ assert len(response) > 0
+ except Exception as e:
+ raise gr.Error(f"Error in litellm chat call: {e}") from e
+ gr.Info("Test connection successful~")
+ return 200
+
+
def test_api_connection(url, method="GET", headers=None, params=None,
body=None, auth=None, origin_call=None) -> int:
# TODO: use fastapi.request / starlette instead?
log.debug("Request URL: %s", url)
@@ -97,6 +130,11 @@ def apply_embedding_config(arg1, arg2, arg3,
origin_call=None) -> int:
llm_settings.ollama_embedding_port = int(arg2)
llm_settings.ollama_embedding_model = arg3
status_code = test_api_connection(f"http://{arg1}:{arg2}";,
origin_call=origin_call)
+ elif embedding_option == "litellm":
+ llm_settings.litellm_embedding_api_key = arg1
+ llm_settings.litellm_embedding_api_base = arg2
+ llm_settings.litellm_embedding_model = arg3
+ status_code = test_litellm_embedding(arg1, arg2, arg3)
llm_settings.update_env()
gr.Info("Configured!")
return status_code
@@ -173,7 +211,6 @@ def apply_llm_config(current_llm_config, arg1, arg2, arg3,
arg4, origin_call=Non
setattr(llm_settings, f"openai_{current_llm_config}_tokens", int(arg4))
test_url = getattr(llm_settings,
f"openai_{current_llm_config}_api_base") + "/chat/completions"
- log.debug("Type of OpenAI %s max_token is %s", current_llm_config,
type(arg4))
data = {
"model": arg3,
"temperature": 0.0,
@@ -192,6 +229,14 @@ def apply_llm_config(current_llm_config, arg1, arg2, arg3,
arg4, origin_call=Non
setattr(llm_settings, f"ollama_{current_llm_config}_language_model",
arg3)
status_code = test_api_connection(f"http://{arg1}:{arg2}";,
origin_call=origin_call)
+ elif llm_option == "litellm":
+ setattr(llm_settings, f"litellm_{current_llm_config}_api_key", arg1)
+ setattr(llm_settings, f"litellm_{current_llm_config}_api_base", arg2)
+ setattr(llm_settings, f"litellm_{current_llm_config}_language_model",
arg3)
+ setattr(llm_settings, f"litellm_{current_llm_config}_tokens",
int(arg4))
+
+ status_code = test_litellm_chat(arg1, arg2, arg3, int(arg4))
+
gr.Info("Configured!")
llm_settings.update_env()
return status_code
@@ -218,7 +263,7 @@ def create_configs_block() -> list:
with gr.Accordion("2. Set up the LLM.", open=False):
gr.Markdown("> Tips: the openai option also support openai style api
from other providers.")
with gr.Tab(label='chat'):
- chat_llm_dropdown = gr.Dropdown(choices=["openai",
"qianfan_wenxin", "ollama/local"],
+ chat_llm_dropdown = gr.Dropdown(choices=["openai", "litellm",
"qianfan_wenxin", "ollama/local"],
value=getattr(llm_settings,
"chat_llm_type"), label="type")
apply_llm_config_with_chat_op = partial(apply_llm_config, "chat")
@@ -249,13 +294,23 @@ def create_configs_block() -> list:
gr.Textbox(value=getattr(llm_settings,
"qianfan_chat_language_model"), label="model_name"),
gr.Textbox(value="", visible=False),
]
+ elif llm_type == "litellm":
+ llm_config_input = [
+ gr.Textbox(value=getattr(llm_settings,
"litellm_chat_api_key"), label="api_key",
+ type="password"),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_chat_api_base"), label="api_base",
+ info="If you want to use the default
api_base, please keep it blank"),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_chat_language_model"), label="model_name",
+ info="Please refer to
https://docs.litellm.ai/docs/providers";),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_chat_tokens"), label="max_token"),
+ ]
else:
llm_config_input = [gr.Textbox(value="", visible=False)
for _ in range(4)]
llm_config_button = gr.Button("Apply configuration")
llm_config_button.click(apply_llm_config_with_chat_op,
inputs=llm_config_input)
with gr.Tab(label='mini_tasks'):
- extract_llm_dropdown = gr.Dropdown(choices=["openai",
"qianfan_wenxin", "ollama/local"],
+ extract_llm_dropdown = gr.Dropdown(choices=["openai", "litellm",
"qianfan_wenxin", "ollama/local"],
value=getattr(llm_settings,
"extract_llm_type"), label="type")
apply_llm_config_with_extract_op = partial(apply_llm_config,
"extract")
@@ -286,12 +341,22 @@ def create_configs_block() -> list:
gr.Textbox(value=getattr(llm_settings,
"qianfan_extract_language_model"), label="model_name"),
gr.Textbox(value="", visible=False),
]
+ elif llm_type == "litellm":
+ llm_config_input = [
+ gr.Textbox(value=getattr(llm_settings,
"litellm_extract_api_key"), label="api_key",
+ type="password"),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_extract_api_base"), label="api_base",
+ info="If you want to use the default
api_base, please keep it blank"),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_extract_language_model"), label="model_name",
+ info="Please refer to
https://docs.litellm.ai/docs/providers";),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_extract_tokens"), label="max_token"),
+ ]
else:
llm_config_input = [gr.Textbox(value="", visible=False)
for _ in range(4)]
llm_config_button = gr.Button("Apply configuration")
llm_config_button.click(apply_llm_config_with_extract_op,
inputs=llm_config_input)
with gr.Tab(label='text2gql'):
- text2gql_llm_dropdown = gr.Dropdown(choices=["openai",
"qianfan_wenxin", "ollama/local"],
+ text2gql_llm_dropdown = gr.Dropdown(choices=["openai", "litellm",
"qianfan_wenxin", "ollama/local"],
value=getattr(llm_settings,
"text2gql_llm_type"), label="type")
apply_llm_config_with_text2gql_op = partial(apply_llm_config,
"text2gql")
@@ -322,6 +387,16 @@ def create_configs_block() -> list:
gr.Textbox(value=getattr(llm_settings,
"qianfan_text2gql_language_model"), label="model_name"),
gr.Textbox(value="", visible=False),
]
+ elif llm_type == "litellm":
+ llm_config_input = [
+ gr.Textbox(value=getattr(llm_settings,
"litellm_text2gql_api_key"), label="api_key",
+ type="password"),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_text2gql_api_base"), label="api_base",
+ info="If you want to use the default
api_base, please keep it blank"),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_text2gql_language_model"), label="model_name",
+ info="Please refer to
https://docs.litellm.ai/docs/providers";),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_text2gql_tokens"), label="max_token"),
+ ]
else:
llm_config_input = [gr.Textbox(value="", visible=False)
for _ in range(4)]
llm_config_button = gr.Button("Apply configuration")
@@ -329,7 +404,8 @@ def create_configs_block() -> list:
with gr.Accordion("3. Set up the Embedding.", open=False):
embedding_dropdown = gr.Dropdown(
- choices=["openai", "qianfan_wenxin", "ollama/local"],
value=llm_settings.embedding_type, label="Embedding"
+ choices=["openai", "litellm", "qianfan_wenxin", "ollama/local"],
value=llm_settings.embedding_type,
+ label="Embedding"
)
@gr.render(inputs=[embedding_dropdown])
@@ -357,6 +433,16 @@ def create_configs_block() -> list:
type="password"),
gr.Textbox(value=llm_settings.qianfan_embedding_model,
label="model_name"),
]
+ elif embedding_type == "litellm":
+ with gr.Row():
+ embedding_config_input = [
+ gr.Textbox(value=getattr(llm_settings,
"litellm_embedding_api_key"), label="api_key",
+ type="password"),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_embedding_api_base"), label="api_base",
+ info="If you want to use the default
api_base, please keep it blank"),
+ gr.Textbox(value=getattr(llm_settings,
"litellm_embedding_model"), label="model_name",
+ info="Please refer to
https://docs.litellm.ai/docs/embedding/supported_embedding";),
+ ]
else:
embedding_config_input = [
gr.Textbox(value="", visible=False),
diff --git
a/hugegraph-llm/src/hugegraph_llm/models/embeddings/init_embedding.py
b/hugegraph-llm/src/hugegraph_llm/models/embeddings/init_embedding.py
index 48b302b..4d9a14f 100644
--- a/hugegraph-llm/src/hugegraph_llm/models/embeddings/init_embedding.py
+++ b/hugegraph-llm/src/hugegraph_llm/models/embeddings/init_embedding.py
@@ -19,6 +19,7 @@
from hugegraph_llm.models.embeddings.openai import OpenAIEmbedding
from hugegraph_llm.models.embeddings.ollama import OllamaEmbedding
from hugegraph_llm.models.embeddings.qianfan import QianFanEmbedding
+from hugegraph_llm.models.embeddings.litellm import LiteLLMEmbedding
from hugegraph_llm.config import llm_settings
@@ -45,5 +46,11 @@ class Embeddings:
api_key=llm_settings.qianfan_embedding_api_key,
secret_key=llm_settings.qianfan_embedding_secret_key
)
+ if self.embedding_type == "litellm":
+ return LiteLLMEmbedding(
+ model_name=llm_settings.litellm_embedding_model,
+ api_key=llm_settings.litellm_embedding_api_key,
+ api_base=llm_settings.litellm_embedding_api_base
+ )
raise Exception("embedding type is not supported !")
diff --git a/hugegraph-llm/src/hugegraph_llm/models/embeddings/litellm.py
b/hugegraph-llm/src/hugegraph_llm/models/embeddings/litellm.py
new file mode 100644
index 0000000..ee808b0
--- /dev/null
+++ b/hugegraph-llm/src/hugegraph_llm/models/embeddings/litellm.py
@@ -0,0 +1,93 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+from typing import List, Optional
+
+from litellm import embedding, RateLimitError, APIError, APIConnectionError,
aembedding
+from tenacity import (
+ retry,
+ stop_after_attempt,
+ wait_exponential,
+ retry_if_exception_type,
+)
+
+from hugegraph_llm.models.embeddings.base import BaseEmbedding
+from hugegraph_llm.utils.log import log
+
+
+class LiteLLMEmbedding(BaseEmbedding):
+ """Wrapper for LiteLLM Embedding that supports multiple LLM providers."""
+
+ def __init__(
+ self,
+ api_key: Optional[str] = None,
+ api_base: Optional[str] = None,
+ model_name: str = "openai/text-embedding-3-small", # Can be any
embedding model supported by LiteLLM
+ ) -> None:
+ self.api_key = api_key
+ self.api_base = api_base
+ self.model = model_name
+
+ @retry(
+ stop=stop_after_attempt(3),
+ wait=wait_exponential(multiplier=1, min=4, max=10),
+ retry=retry_if_exception_type((RateLimitError, APIConnectionError,
APIError)),
+ )
+ def get_text_embedding(self, text: str) -> List[float]:
+ """Get embedding for a single text."""
+ try:
+ response = embedding(
+ model=self.model,
+ input=text,
+ api_key=self.api_key,
+ api_base=self.api_base,
+ )
+ log.info("Token usage: %s", response.usage)
+ return response.data[0]["embedding"]
+ except (RateLimitError, APIConnectionError, APIError) as e:
+ log.error("Error in LiteLLM embedding call: %s", e)
+ raise
+
+ def get_texts_embeddings(self, texts: List[str]) -> List[List[float]]:
+ """Get embeddings for multiple texts."""
+ try:
+ response = embedding(
+ model=self.model,
+ input=texts,
+ api_key=self.api_key,
+ api_base=self.api_base,
+ )
+ log.info("Token usage: %s", response.usage)
+ return [data["embedding"] for data in response.data]
+ except (RateLimitError, APIConnectionError, APIError) as e:
+ log.error("Error in LiteLLM batch embedding call: %s", e)
+ raise
+
+ async def async_get_text_embedding(self, text: str) -> List[float]:
+ """Get embedding for a single text asynchronously."""
+ try:
+ response = await aembedding(
+ model=self.model,
+ input=text,
+ api_key=self.api_key,
+ api_base=self.api_base,
+ )
+ log.info("Token usage: %s", response.usage)
+ return response.data[0]["embedding"]
+ except (RateLimitError, APIConnectionError, APIError) as e:
+ log.error("Error in async LiteLLM embedding call: %s", e)
+ raise
diff --git a/hugegraph-llm/src/hugegraph_llm/models/llms/init_llm.py
b/hugegraph-llm/src/hugegraph_llm/models/llms/init_llm.py
index c0aeb6c..58eb479 100644
--- a/hugegraph-llm/src/hugegraph_llm/models/llms/init_llm.py
+++ b/hugegraph-llm/src/hugegraph_llm/models/llms/init_llm.py
@@ -19,6 +19,7 @@
from hugegraph_llm.models.llms.ollama import OllamaClient
from hugegraph_llm.models.llms.openai import OpenAIClient
from hugegraph_llm.models.llms.qianfan import QianfanClient
+from hugegraph_llm.models.llms.litellm import LiteLLMClient
from hugegraph_llm.config import llm_settings
@@ -48,6 +49,13 @@ class LLMs:
host=llm_settings.ollama_chat_host,
port=llm_settings.ollama_chat_port,
)
+ if self.chat_llm_type == "litellm":
+ return LiteLLMClient(
+ api_key=llm_settings.litellm_chat_api_key,
+ api_base=llm_settings.litellm_chat_api_base,
+ model_name=llm_settings.litellm_chat_language_model,
+ max_tokens=llm_settings.litellm_chat_tokens,
+ )
raise Exception("chat llm type is not supported !")
def get_extract_llm(self):
@@ -70,6 +78,13 @@ class LLMs:
host=llm_settings.ollama_extract_host,
port=llm_settings.ollama_extract_port,
)
+ if self.extract_llm_type == "litellm":
+ return LiteLLMClient(
+ api_key=llm_settings.litellm_extract_api_key,
+ api_base=llm_settings.litellm_extract_api_base,
+ model_name=llm_settings.litellm_extract_language_model,
+ max_tokens=llm_settings.litellm_extract_tokens,
+ )
raise Exception("extract llm type is not supported !")
def get_text2gql_llm(self):
@@ -92,6 +107,13 @@ class LLMs:
host=llm_settings.ollama_text2gql_host,
port=llm_settings.ollama_text2gql_port,
)
+ if self.text2gql_llm_type == "litellm":
+ return LiteLLMClient(
+ api_key=llm_settings.litellm_text2gql_api_key,
+ api_base=llm_settings.litellm_text2gql_api_base,
+ model_name=llm_settings.litellm_text2gql_language_model,
+ max_tokens=llm_settings.litellm_text2gql_tokens,
+ )
raise Exception("text2gql llm type is not supported !")
diff --git a/hugegraph-llm/src/hugegraph_llm/models/llms/litellm.py
b/hugegraph-llm/src/hugegraph_llm/models/llms/litellm.py
new file mode 100644
index 0000000..23a1250
--- /dev/null
+++ b/hugegraph-llm/src/hugegraph_llm/models/llms/litellm.py
@@ -0,0 +1,156 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements. See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership. The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied. See the License for the
+# specific language governing permissions and limitations
+# under the License.
+
+from typing import Callable, List, Optional, Dict, Any
+
+import tiktoken
+from litellm import completion, acompletion
+from litellm.exceptions import RateLimitError, BudgetExceededError, APIError
+from tenacity import (
+ retry,
+ stop_after_attempt,
+ wait_exponential,
+ retry_if_exception_type,
+)
+
+from hugegraph_llm.models.llms.base import BaseLLM
+from hugegraph_llm.utils.log import log
+
+
+class LiteLLMClient(BaseLLM):
+ """Wrapper for LiteLLM Client that supports multiple LLM providers."""
+
+ def __init__(
+ self,
+ api_key: Optional[str] = None,
+ api_base: Optional[str] = None,
+ model_name: str = "openai/gpt-4o", # Can be any model supported by
LiteLLM
+ max_tokens: int = 4096,
+ temperature: float = 0.0,
+ ) -> None:
+ self.api_key = api_key
+ self.api_base = api_base
+ self.model = model_name
+ self.max_tokens = max_tokens
+ self.temperature = temperature
+
+ @retry(
+ stop=stop_after_attempt(3),
+ wait=wait_exponential(multiplier=1, min=4, max=10),
+ retry=retry_if_exception_type((RateLimitError, BudgetExceededError,
APIError))
+ )
+ def generate(
+ self,
+ messages: Optional[List[Dict[str, Any]]] = None,
+ prompt: Optional[str] = None,
+ ) -> str:
+ """Generate a response to the query messages/prompt."""
+ if messages is None:
+ assert prompt is not None, "Messages or prompt must be provided."
+ messages = [{"role": "user", "content": prompt}]
+ try:
+ response = completion(
+ model=self.model,
+ messages=messages,
+ temperature=self.temperature,
+ max_tokens=self.max_tokens,
+ api_key=self.api_key,
+ base_url=self.api_base,
+ )
+ log.info("Token usage: %s", response.usage)
+ return response.choices[0].message.content
+ except (RateLimitError, BudgetExceededError, APIError) as e:
+ log.error("Error in LiteLLM call: %s", e)
+ return f"Error: {str(e)}"
+
+ @retry(
+ stop=stop_after_attempt(3),
+ wait=wait_exponential(multiplier=1, min=4, max=10),
+ retry=retry_if_exception_type((RateLimitError, BudgetExceededError,
APIError))
+ )
+ async def agenerate(
+ self,
+ messages: Optional[List[Dict[str, Any]]] = None,
+ prompt: Optional[str] = None,
+ ) -> str:
+ """Generate a response to the query messages/prompt asynchronously."""
+ if messages is None:
+ assert prompt is not None, "Messages or prompt must be provided."
+ messages = [{"role": "user", "content": prompt}]
+ try:
+ response = await acompletion(
+ model=self.model,
+ messages=messages,
+ temperature=self.temperature,
+ max_tokens=self.max_tokens,
+ api_key=self.api_key,
+ base_url=self.api_base,
+ )
+ log.info("Token usage: %s", response.usage)
+ return response.choices[0].message.content
+ except (RateLimitError, BudgetExceededError, APIError) as e:
+ log.error("Error in async LiteLLM call: %s", e)
+ return f"Error: {str(e)}"
+
+ def generate_streaming(
+ self,
+ messages: Optional[List[Dict[str, Any]]] = None,
+ prompt: Optional[str] = None,
+ on_token_callback: Callable = None,
+ ) -> str:
+ """Generate a response to the query messages/prompt in streaming
mode."""
+ if messages is None:
+ assert prompt is not None, "Messages or prompt must be provided."
+ messages = [{"role": "user", "content": prompt}]
+ try:
+ response = completion(
+ model=self.model,
+ messages=messages,
+ temperature=self.temperature,
+ max_tokens=self.max_tokens,
+ api_key=self.api_key,
+ base_url=self.api_base,
+ stream=True,
+ )
+ result = ""
+ for chunk in response:
+ if chunk.choices[0].delta.content:
+ result += chunk.choices[0].delta.content
+ if on_token_callback:
+ on_token_callback(chunk)
+ return result
+ except (RateLimitError, BudgetExceededError, APIError) as e:
+ log.error("Error in streaming LiteLLM call: %s", e)
+ return f"Error: {str(e)}"
+
+ def num_tokens_from_string(self, string: str) -> int:
+ """Get token count from string."""
+ try:
+ encoding = tiktoken.encoding_for_model(self.model)
+ num_tokens = len(encoding.encode(string))
+ return num_tokens
+ except (ValueError, TypeError) as _: # Handle unused variable
+ # Fallback for models not supported by tiktoken
+ # Rough estimate: 1 token ≈ 4 characters
+ return len(string) // 4
+
+ def max_allowed_token_length(self) -> int:
+ """Get max-allowed token length based on the model."""
+ return 4096 # Default to 4096 if model not found
+
+ def get_llm_type(self) -> str:
+ return "litellm"
