diff --git a/poetry.lock b/poetry.lock
index 78a4bbde..ee717190 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,14 +1,14 @@
-# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand.
+# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
 
 [[package]]
 name = "accelerate"
-version = "0.24.1"
+version = "0.25.0"
 description = "Accelerate"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "accelerate-0.24.1-py3-none-any.whl", hash = "sha256:866dec394da60e8da964be212379d8cf6cc0d0e5e28a7c0d7e09507715d21c61"},
-    {file = "accelerate-0.24.1.tar.gz", hash = "sha256:85ab2aeb4d06194b75113339f81b7d650523414a82c9e91b2912a655f53dfa8e"},
+    {file = "accelerate-0.25.0-py3-none-any.whl", hash = "sha256:c7bb817eb974bba0ff3ea1ba0f24d55afb86d50e3d4fe98d6922dc69cf2ccff1"},
+    {file = "accelerate-0.25.0.tar.gz", hash = "sha256:ecf55b0ab278a1dac8539dde0d276977aff04683f07ede73eaf02478538576a1"},
 ]
 
 [package.dependencies]
@@ -17,6 +17,7 @@ numpy = ">=1.17"
 packaging = ">=20.0"
 psutil = "*"
 pyyaml = "*"
+safetensors = ">=0.3.1"
 torch = ">=1.10.0"
 
 [package.extras]
@@ -26,7 +27,7 @@ rich = ["rich"]
 sagemaker = ["sagemaker"]
 test-dev = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
 test-prod = ["parameterized", "pytest", "pytest-subtests", "pytest-xdist"]
-test-trackers = ["comet-ml", "tensorboard", "wandb"]
+test-trackers = ["comet-ml", "dvclive", "tensorboard", "wandb"]
 testing = ["bitsandbytes", "datasets", "deepspeed", "evaluate", "parameterized", "pytest", "pytest-subtests", "pytest-xdist", "scikit-learn", "scipy", "timm", "tqdm", "transformers"]
 
 [[package]]
@@ -42,87 +43,87 @@ files = [
 
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 name = "aiohttp"
-version = "3.9.0"
+version = "3.9.1"
 description = "Async http client/server framework (asyncio)"
 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.dependencies]
@@ -165,13 +166,13 @@ typing-extensions = "*"
 
 [[package]]
 name = "altair"
-version = "5.1.2"
+version = "5.2.0"
 description = "Vega-Altair: A declarative statistical visualization library for Python."
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "altair-5.2.0.tar.gz", hash = "sha256:2ad7f0c8010ebbc46319cc30febfb8e59ccf84969a201541c207bc3a4fa6cf81"},
 ]
 
 [package.dependencies]
@@ -183,8 +184,8 @@ pandas = ">=0.25"
 toolz = "*"
 
 [package.extras]
-dev = ["anywidget", "black (<24)", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=0.14.0)"]
-doc = ["docutils", "geopandas", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
+dev = ["anywidget", "geopandas", "hatch", "ipython", "m2r", "mypy", "pandas-stubs", "pyarrow (>=11)", "pytest", "pytest-cov", "ruff (>=0.1.3)", "types-jsonschema", "types-setuptools", "vega-datasets", "vegafusion[embed] (>=1.4.0)", "vl-convert-python (>=1.1.0)"]
+doc = ["docutils", "jinja2", "myst-parser", "numpydoc", "pillow (>=9,<10)", "pydata-sphinx-theme (>=0.14.1)", "scipy", "sphinx", "sphinx-copybutton", "sphinx-design", "sphinxext-altair"]
 
 [[package]]
 name = "annotated-types"
@@ -217,6 +218,20 @@ doc = ["Sphinx", "packaging", "sphinx-autodoc-typehints (>=1.2.0)", "sphinx-rtd-
 test = ["anyio[trio]", "coverage[toml] (>=4.5)", "hypothesis (>=4.0)", "mock (>=4)", "psutil (>=5.9)", "pytest (>=7.0)", "pytest-mock (>=3.6.1)", "trustme", "uvloop (>=0.17)"]
 trio = ["trio (<0.22)"]
 
+[[package]]
+name = "asgiref"
+version = "3.7.2"
+description = "ASGI specs, helper code, and adapters"
+optional = true
+python-versions = ">=3.7"
+files = [
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+]
+
+[package.extras]
+tests = ["mypy (>=0.800)", "pytest", "pytest-asyncio"]
+
 [[package]]
 name = "attrs"
 version = "23.1.0"
@@ -248,32 +263,28 @@ files = [
 
 [[package]]
 name = "bcrypt"
-version = "4.0.1"
+version = "4.1.1"
 description = "Modern password hashing for your software and your servers"
 optional = true
-python-versions = ">=3.6"
+python-versions = ">=3.7"
 files = [
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+    {file = "bcrypt-4.1.1.tar.gz", hash = "sha256:df37f5418d4f1cdcff845f60e747a015389fa4e63703c918330865e06ad80007"},
 ]
 
 [package.extras]
@@ -333,32 +344,32 @@ uvloop = ["uvloop (>=0.15.2)"]
 
 [[package]]
 name = "boto3"
-version = "1.29.3"
+version = "1.33.6"
 description = "The AWS SDK for Python"
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "boto3-1.29.3-py3-none-any.whl", hash = "sha256:85123ba6ccef12f8230bcd85bf730d3c4218e08e3cc4baaa0b3eae094703e77d"},
-    {file = "boto3-1.29.3.tar.gz", hash = "sha256:d038b19cbe29d488133351ee6eb36ee11a0934df8bcbc0892bbeb2c544a327a4"},
+    {file = "boto3-1.33.6-py3-none-any.whl", hash = "sha256:b88f0f305186c5fd41f168e006baa45b7002a33029aec8e5bef373237a172fca"},
+    {file = "boto3-1.33.6.tar.gz", hash = "sha256:4f62fc1c7f3ea2d22917aa0aa07b86f119abd90bed3d815e4b52fb3d84773e15"},
 ]
 
 [package.dependencies]
-botocore = ">=1.32.3,<1.33.0"
+botocore = ">=1.33.6,<1.34.0"
 jmespath = ">=0.7.1,<2.0.0"
-s3transfer = ">=0.7.0,<0.8.0"
+s3transfer = ">=0.8.2,<0.9.0"
 
 [package.extras]
 crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
 
 [[package]]
 name = "botocore"
-version = "1.32.3"
+version = "1.33.6"
 description = "Low-level, data-driven core of boto 3."
 optional = false
 python-versions = ">= 3.7"
 files = [
-    {file = "botocore-1.32.3-py3-none-any.whl", hash = "sha256:115adb7edf61ad7083fd582ac749b761fa707758bbca94d42e4e6e92940b5d38"},
-    {file = "botocore-1.32.3.tar.gz", hash = "sha256:be622915db1dbf1d6d5ed907633471f9ed8f5399dd3cf333f9dc2b955cd3e80d"},
+    {file = "botocore-1.33.6-py3-none-any.whl", hash = "sha256:14282cd432c0683770eee932c43c12bb9ad5730e23755204ad102897c996693a"},
+    {file = "botocore-1.33.6.tar.gz", hash = "sha256:938056bab831829f90e09ecd70dd6b295afd52b1482f5582ee7a11d8243d9661"},
 ]
 
 [package.dependencies]
@@ -367,7 +378,7 @@ python-dateutil = ">=2.1,<3.0.0"
 urllib3 = {version = ">=1.25.4,<2.1", markers = "python_version >= \"3.10\""}
 
 [package.extras]
-crt = ["awscrt (==0.19.12)"]
+crt = ["awscrt (==0.19.17)"]
 
 [[package]]
 name = "cachetools"
@@ -540,13 +551,13 @@ numpy = "*"
 
 [[package]]
 name = "chromadb"
-version = "0.4.17"
+version = "0.4.18"
 description = "Chroma."
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "chromadb-0.4.17-py3-none-any.whl", hash = "sha256:8cb88162bc6124441ba5a4b93819463a10e9aaafbe05a3286e876cbdc7a7e11d"},
-    {file = "chromadb-0.4.17.tar.gz", hash = "sha256:120f9d364719b664d5314500f8e6097f0e0b24496bb97a429bc324f8d11f1b52"},
+    {file = "chromadb-0.4.18-py3-none-any.whl", hash = "sha256:6de20f8c1dc880bef1d49c10d9f998ddb9d7e39b6c1e757d8b58e37b535ad625"},
+    {file = "chromadb-0.4.18.tar.gz", hash = "sha256:42f1e8f3f48884abfb43fbbb132940d0b78c0f633baf888d2525c970678b886c"},
 ]
 
 [package.dependencies]
@@ -556,10 +567,12 @@ fastapi = ">=0.95.2"
 grpcio = ">=1.58.0"
 importlib-resources = "*"
 kubernetes = ">=28.1.0"
+mmh3 = ">=4.0.1"
 numpy = {version = ">=1.22.5", markers = "python_version >= \"3.8\""}
 onnxruntime = ">=1.14.1"
 opentelemetry-api = ">=1.2.0"
 opentelemetry-exporter-otlp-proto-grpc = ">=1.2.0"
+opentelemetry-instrumentation-fastapi = ">=0.41b0"
 opentelemetry-sdk = ">=1.2.0"
 overrides = ">=7.3.1"
 posthog = ">=2.4.0"
@@ -761,13 +774,13 @@ tests = ["pytest", "pytest-cov", "pytest-xdist"]
 
 [[package]]
 name = "dataclasses-json"
-version = "0.5.14"
+version = "0.6.3"
 description = "Easily serialize dataclasses to and from JSON."
 optional = false
-python-versions = ">=3.7,<3.13"
+python-versions = ">=3.7,<4.0"
 files = [
-    {file = "dataclasses_json-0.5.14-py3-none-any.whl", hash = "sha256:5ec6fed642adb1dbdb4182badb01e0861badfd8fda82e3b67f44b2d1e9d10d21"},
-    {file = "dataclasses_json-0.5.14.tar.gz", hash = "sha256:d82896a94c992ffaf689cd1fafc180164e2abdd415b8f94a7f78586af5886236"},
+    {file = "dataclasses_json-0.6.3-py3-none-any.whl", hash = "sha256:4aeb343357997396f6bca1acae64e486c3a723d8f5c76301888abeccf0c45176"},
+    {file = "dataclasses_json-0.6.3.tar.gz", hash = "sha256:35cb40aae824736fdf959801356641836365219cfe14caeb115c39136f775d2a"},
 ]
 
 [package.dependencies]
@@ -776,26 +789,25 @@ typing-inspect = ">=0.4.0,<1"
 
 [[package]]
 name = "datasets"
-version = "2.15.0"
+version = "2.14.4"
 description = "HuggingFace community-driven open-source library of datasets"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "datasets-2.15.0-py3-none-any.whl", hash = "sha256:6d658d23811393dfc982d026082e1650bdaaae28f6a86e651966cb072229a228"},
-    {file = "datasets-2.15.0.tar.gz", hash = "sha256:a26d059370bd7503bd60e9337977199a13117a83f72fb61eda7e66f0c4d50b2b"},
+    {file = "datasets-2.14.4-py3-none-any.whl", hash = "sha256:29336bd316a7d827ccd4da2236596279b20ca2ac78f64c04c9483da7cbc2459b"},
+    {file = "datasets-2.14.4.tar.gz", hash = "sha256:ef29c2b5841de488cd343cfc26ab979bff77efa4d2285af51f1ad7db5c46a83b"},
 ]
 
 [package.dependencies]
 aiohttp = "*"
 dill = ">=0.3.0,<0.3.8"
-fsspec = {version = ">=2023.1.0,<=2023.10.0", extras = ["http"]}
-huggingface-hub = ">=0.18.0"
+fsspec = {version = ">=2021.11.1", extras = ["http"]}
+huggingface-hub = ">=0.14.0,<1.0.0"
 multiprocess = "*"
 numpy = ">=1.17"
 packaging = "*"
 pandas = "*"
 pyarrow = ">=8.0.0"
-pyarrow-hotfix = "*"
 pyyaml = ">=5.1"
 requests = ">=2.19.0"
 tqdm = ">=4.62.1"
@@ -805,15 +817,15 @@ xxhash = "*"
 apache-beam = ["apache-beam (>=2.26.0,<2.44.0)"]
 audio = ["librosa", "soundfile (>=0.12.1)"]
 benchmarks = ["tensorflow (==2.12.0)", "torch (==2.0.1)", "transformers (==4.30.1)"]
-dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+dev = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "black (>=23.1,<24.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "pyyaml (>=5.3.1)", "rarfile (>=4.0)", "ruff (>=0.0.241)", "s3fs", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
 docs = ["s3fs", "tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos", "torch", "transformers"]
-jax = ["jax (>=0.3.14)", "jaxlib (>=0.3.14)"]
+jax = ["jax (>=0.2.8,!=0.3.2,<=0.3.25)", "jaxlib (>=0.1.65,<=0.3.25)"]
 metrics-tests = ["Werkzeug (>=1.0.1)", "accelerate", "bert-score (>=0.3.6)", "jiwer", "langdetect", "mauve-text", "nltk", "requests-file (>=1.5.1)", "rouge-score", "sacrebleu", "sacremoses", "scikit-learn", "scipy", "sentencepiece", "seqeval", "six (>=1.15.0,<1.16.0)", "spacy (>=3.0.0)", "texttable (>=1.6.3)", "tldextract", "tldextract (>=3.1.0)", "toml (>=0.10.1)", "typer (<0.5.0)"]
 quality = ["black (>=23.1,<24.0)", "pyyaml (>=5.3.1)", "ruff (>=0.0.241)"]
 s3 = ["s3fs"]
 tensorflow = ["tensorflow (>=2.2.0,!=2.6.0,!=2.6.1)", "tensorflow-macos"]
 tensorflow-gpu = ["tensorflow-gpu (>=2.2.0,!=2.6.0,!=2.6.1)"]
-tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "jax (>=0.3.14)", "jaxlib (>=0.3.14)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "typing-extensions (>=4.6.1)", "zstandard"]
+tests = ["Pillow (>=6.2.1)", "absl-py", "apache-beam (>=2.26.0,<2.44.0)", "elasticsearch (<8.0.0)", "faiss-cpu (>=1.6.4)", "joblib (<1.3.0)", "joblibspark", "librosa", "lz4", "py7zr", "pyspark (>=3.4)", "pytest", "pytest-datadir", "pytest-xdist", "rarfile (>=4.0)", "s3fs (>=2021.11.1)", "soundfile (>=0.12.1)", "sqlalchemy (<2.0.0)", "tensorflow (>=2.3,!=2.6.0,!=2.6.1)", "tensorflow-macos", "tiktoken", "torch", "transformers", "zstandard"]
 torch = ["torch"]
 vision = ["Pillow (>=6.2.1)"]
 
@@ -1021,53 +1033,53 @@ files = [
 
 [[package]]
 name = "fonttools"
-version = "4.44.3"
+version = "4.46.0"
 description = "Tools to manipulate font files"
 optional = false
 python-versions = ">=3.8"
 files = [
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-    {file = "fonttools-4.44.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50152205ed3e16c5878a006ee53ecc402acac9af68357343be1e5c36f66ccb24"},
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@@ -1156,13 +1168,13 @@ files = [
 
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 [package.dependencies]
@@ -1195,13 +1207,13 @@ tqdm = ["tqdm"]
 
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 [[package]]
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@@ -1607,20 +1619,20 @@ test = ["Cython (>=0.29.24,<0.30.0)"]
 
 [[package]]
 name = "httpx"
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 description = "The next generation HTTP client."
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 [package.dependencies]
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 certifi = "*"
 h2 = {version = ">=3,<5", optional = true, markers = "extra == \"http2\""}
-httpcore = "*"
+httpcore = "==1.*"
 idna = "*"
 sniffio = "*"
 
@@ -1704,31 +1716,31 @@ license = ["ukkonen"]
 
 [[package]]
 name = "idna"
-version = "3.4"
+version = "3.6"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.5"
 files = [
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-    {file = "idna-3.4.tar.gz", hash = "sha256:814f528e8dead7d329833b91c5faa87d60bf71824cd12a7530b5526063d02cb4"},
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 ]
 
 [[package]]
 name = "importlib-metadata"
-version = "6.8.0"
+version = "6.9.0"
 description = "Read metadata from Python packages"
 optional = true
 python-versions = ">=3.8"
 files = [
-    {file = "importlib_metadata-6.8.0-py3-none-any.whl", hash = "sha256:3ebb78df84a805d7698245025b975d9d67053cd94c79245ba4b3eb694abe68bb"},
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+    {file = "importlib_metadata-6.9.0.tar.gz", hash = "sha256:e8acb523c335a91822674e149b46c0399ec4d328c4d1f6e49c273da5ff0201b9"},
 ]
 
 [package.dependencies]
 zipp = ">=0.5"
 
 [package.extras]
-docs = ["furo", "jaraco.packaging (>=9)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+docs = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (<7.2.5)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
 testing = ["flufl.flake8", "importlib-resources (>=1.3)", "packaging", "pyfakefs", "pytest (>=6)", "pytest-black (>=0.3.7)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy (>=0.9.1)", "pytest-perf (>=0.9.2)", "pytest-ruff"]
 
@@ -1845,13 +1857,13 @@ format-nongpl = ["fqdn", "idna", "isoduration", "jsonpointer (>1.13)", "rfc3339-
 
 [[package]]
 name = "jsonschema-specifications"
-version = "2023.11.1"
+version = "2023.11.2"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "jsonschema_specifications-2023.11.2.tar.gz", hash = "sha256:9472fc4fea474cd74bea4a2b190daeccb5a9e4db2ea80efcf7a1b582fc9a81b8"},
 ]
 
 [package.dependencies]
@@ -1998,12 +2010,12 @@ adal = ["adal (>=1.0.2)"]
 
 [[package]]
 name = "llama-cpp-python"
-version = "0.2.18"
+version = "0.2.20"
 description = "Python bindings for the llama.cpp library"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "llama_cpp_python-0.2.20.tar.gz", hash = "sha256:a0ada1cb800ba4da60ea6ac4f7264b687a35412374e5af2c92e5b22852cdbafb"},
 ]
 
 [package.dependencies]
@@ -2019,20 +2031,20 @@ test = ["httpx (>=0.24.1)", "pytest (>=7.4.0)"]
 
 [[package]]
 name = "llama-index"
-version = "0.9.3"
+version = "0.9.10"
 description = "Interface between LLMs and your data"
 optional = false
 python-versions = ">=3.8.1,<3.12"
 files = [
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 ]
 
 [package.dependencies]
 aiohttp = ">=3.8.6,<4.0.0"
 aiostream = ">=0.5.2,<0.6.0"
 beautifulsoup4 = ">=4.12.2,<5.0.0"
-dataclasses-json = ">=0.5.7,<0.6.0"
+dataclasses-json = "*"
 deprecated = ">=1.2.9.3"
 fsspec = ">=2023.5.0"
 httpx = "*"
@@ -2041,7 +2053,8 @@ nltk = ">=3.8.1,<4.0.0"
 numpy = "*"
 openai = ">=1.1.0"
 optimum = {version = ">=1.13.2,<2.0.0", extras = ["onnxruntime"], optional = true, markers = "extra == \"local-models\""}
-pandas = {version = "*", extras = ["jinja2"]}
+pandas = "*"
+requests = ">=2.31.0"
 sentencepiece = {version = ">=0.1.99,<0.2.0", optional = true, markers = "extra == \"local-models\""}
 SQLAlchemy = {version = ">=1.4.49", extras = ["asyncio"]}
 tenacity = ">=8.2.0,<9.0.0"
@@ -2049,13 +2062,12 @@ tiktoken = ">=0.3.3"
 transformers = {version = ">=4.34.0,<5.0.0", extras = ["torch"], optional = true, markers = "extra == \"local-models\""}
 typing-extensions = ">=4.5.0"
 typing-inspect = ">=0.8.0"
-urllib3 = "<2"
 
 [package.extras]
 langchain = ["langchain (>=0.0.303)"]
 local-models = ["optimum[onnxruntime] (>=1.13.2,<2.0.0)", "sentencepiece (>=0.1.99,<0.2.0)", "transformers[torch] (>=4.34.0,<5.0.0)"]
 postgres = ["asyncpg (>=0.28.0,<0.29.0)", "pgvector (>=0.1.0,<0.2.0)", "psycopg-binary (>=3.1.12,<4.0.0)"]
-query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn (<1.3.0)", "spacy (>=3.7.1,<4.0.0)"]
+query-tools = ["guidance (>=0.0.64,<0.0.65)", "jsonpath-ng (>=1.6.0,<2.0.0)", "lm-format-enforcer (>=0.4.3,<0.5.0)", "rank-bm25 (>=0.2.2,<0.3.0)", "scikit-learn", "spacy (>=3.7.1,<4.0.0)"]
 
 [[package]]
 name = "markdown-it-py"
@@ -2229,6 +2241,82 @@ files = [
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
 ]
 
+[[package]]
+name = "mmh3"
+version = "4.0.1"
+description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
+optional = true
+python-versions = "*"
+files = [
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 [[package]]
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 ]
 
 [package.dependencies]
@@ -2775,13 +2867,13 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.3.3"
+version = "1.3.7"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.7.1"
 files = [
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 ]
 
 [package.dependencies]
@@ -2789,6 +2881,7 @@ anyio = ">=3.5.0,<4"
 distro = ">=1.7.0,<2"
 httpx = ">=0.23.0,<1"
 pydantic = ">=1.9.0,<3"
+sniffio = "*"
 tqdm = ">4"
 typing-extensions = ">=4.5,<5"
 
@@ -2849,6 +2942,66 @@ opentelemetry-sdk = ">=1.21.0,<1.22.0"
 [package.extras]
 test = ["pytest-grpc"]
 
+[[package]]
+name = "opentelemetry-instrumentation"
+version = "0.42b0"
+description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
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+python-versions = ">=3.7"
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+
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 version = "1.21.0"
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+description = "Web util for OpenTelemetry"
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 [[package]]
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+    {file = "yarl-1.9.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8535e111a064f3bdd94c0ed443105934d6f005adad68dd13ce50a488a0ad1bf3"},
+    {file = "yarl-1.9.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:0d155a092bf0ebf4a9f6f3b7a650dc5d9a5bbb585ef83a52ed36ba46f55cc39d"},
+    {file = "yarl-1.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:778df71c8d0c8c9f1b378624b26431ca80041660d7be7c3f724b2c7a6e65d0d6"},
+    {file = "yarl-1.9.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b9f9cafaf031c34d95c1528c16b2fa07b710e6056b3c4e2e34e9317072da5d1a"},
+    {file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ca6b66f69e30f6e180d52f14d91ac854b8119553b524e0e28d5291a724f0f423"},
+    {file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:e0e7e83f31e23c5d00ff618045ddc5e916f9e613d33c5a5823bc0b0a0feb522f"},
+    {file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:af52725c7c39b0ee655befbbab5b9a1b209e01bb39128dce0db226a10014aacc"},
+    {file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:0ab5baaea8450f4a3e241ef17e3d129b2143e38a685036b075976b9c415ea3eb"},
+    {file = "yarl-1.9.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6d350388ba1129bc867c6af1cd17da2b197dff0d2801036d2d7d83c2d771a682"},
+    {file = "yarl-1.9.3-cp39-cp39-win32.whl", hash = "sha256:e2a16ef5fa2382af83bef4a18c1b3bcb4284c4732906aa69422cf09df9c59f1f"},
+    {file = "yarl-1.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:d92d897cb4b4bf915fbeb5e604c7911021a8456f0964f3b8ebbe7f9188b9eabb"},
+    {file = "yarl-1.9.3-py3-none-any.whl", hash = "sha256:271d63396460b6607b588555ea27a1a02b717ca2e3f2cf53bdde4013d7790929"},
+    {file = "yarl-1.9.3.tar.gz", hash = "sha256:4a14907b597ec55740f63e52d7fee0e9ee09d5b9d57a4f399a7423268e457b57"},
 ]
 
 [package.dependencies]
@@ -5909,4 +6085,4 @@ chroma = ["chromadb"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11,<3.12"
-content-hash = "7b9e7bc6e4a9ecbab92e58423c1d6746aa731b681236b1966f986feac3101959"
+content-hash = "5c0fcbe12f1c68ac452d649a91004f62607c5c026226dd09537f63bc24b5c42c"
diff --git a/private_gpt/components/llm/prompt/prompt_helper.py b/private_gpt/components/llm/prompt/prompt_helper.py
index 0e5ff2e9..b5f3fe5f 100644
--- a/private_gpt/components/llm/prompt/prompt_helper.py
+++ b/private_gpt/components/llm/prompt/prompt_helper.py
@@ -178,8 +178,10 @@ class AbstractPromptStyle(abc.ABC):
 class AbstractPromptStyleWithSystemPrompt(AbstractPromptStyle, abc.ABC):
     _DEFAULT_SYSTEM_PROMPT = DEFAULT_SYSTEM_PROMPT
 
-    def __init__(self, default_system_prompt: str | None) -> None:
-        super().__init__()
+    def __init__(
+        self, default_system_prompt: str | None, *args: Any, **kwargs: Any
+    ) -> None:
+        super().__init__(*args, **kwargs)
         logger.debug("Got default_system_prompt='%s'", default_system_prompt)
         self.default_system_prompt = default_system_prompt
 
@@ -235,9 +237,13 @@ class LlamaIndexPromptStyle(AbstractPromptStyleWithSystemPrompt):
     ```
     """
 
-    def __init__(self, default_system_prompt: str | None = None) -> None:
+    def __init__(
+        self, default_system_prompt: str | None = None, *args: Any, **kwargs: Any
+    ) -> None:
         # If no system prompt is given, the default one of the implementation is used.
-        super().__init__(default_system_prompt=default_system_prompt)
+        # default_system_prompt can be None here
+        kwargs["default_system_prompt"] = default_system_prompt
+        super().__init__(*args, **kwargs)
 
     def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
         return messages_to_prompt(messages, self.default_system_prompt)
@@ -264,12 +270,14 @@ class VigognePromptStyle(AbstractPromptStyleWithSystemPrompt):
         self,
         default_system_prompt: str | None = None,
         add_generation_prompt: bool = True,
+        *args: Any,
+        **kwargs: Any,
     ) -> None:
         # We have to define a default system prompt here as the LLM will not
         # use the default llama_utils functions.
         default_system_prompt = default_system_prompt or self._DEFAULT_SYSTEM_PROMPT
-        super().__init__(default_system_prompt)
-        self.system_prompt: str = default_system_prompt
+        kwargs["default_system_prompt"] = default_system_prompt
+        super().__init__(*args, **kwargs)
         self.add_generation_prompt = add_generation_prompt
 
     def _messages_to_prompt(self, messages: Sequence[ChatMessage]) -> str:
@@ -300,7 +308,11 @@ class VigognePromptStyle(AbstractPromptStyleWithSystemPrompt):
 
 class LlamaCppPromptStyle(AbstractPromptStyleWithSystemPrompt):
     def __init__(
-        self, prompt_style: str, default_system_prompt: str | None = None
+        self,
+        prompt_style: str,
+        default_system_prompt: str | None = None,
+        *args: Any,
+        **kwargs: Any,
     ) -> None:
         """Wrapper for llama_cpp_python defined prompt format.
 
@@ -309,7 +321,8 @@ class LlamaCppPromptStyle(AbstractPromptStyleWithSystemPrompt):
         """
         assert prompt_style.startswith("llama_cpp.")
         default_system_prompt = default_system_prompt or self._DEFAULT_SYSTEM_PROMPT
-        super().__init__(default_system_prompt)
+        kwargs["default_system_prompt"] = default_system_prompt
+        super().__init__(*args, **kwargs)
 
         self.prompt_style = prompt_style[len("llama_cpp.") :]
         if self.prompt_style is None:
@@ -339,6 +352,8 @@ class TemplatePromptStyle(AbstractPromptStyleWithSystemPrompt):
         template_dir: str | None = None,
         add_generation_prompt: bool = True,
         default_system_prompt: str | None = None,
+        *args: Any,
+        **kwargs: Any,
     ) -> None:
         """Prompt format using a Jinja template.
 
@@ -350,7 +365,8 @@ class TemplatePromptStyle(AbstractPromptStyleWithSystemPrompt):
             given in the messages.
         """
         default_system_prompt = default_system_prompt or DEFAULT_SYSTEM_PROMPT
-        super().__init__(default_system_prompt)
+        kwargs["default_system_prompt"] = default_system_prompt
+        super().__init__(*args, **kwargs)
 
         self._add_generation_prompt = add_generation_prompt
 
diff --git a/private_gpt/components/llm/prompt/template/vigogne-2-7b-chat.jinja b/private_gpt/components/llm/prompt/template/vigogne-2-7b-chat.jinja
index 8b8378ba..ac1aeb8d 100644
--- a/private_gpt/components/llm/prompt/template/vigogne-2-7b-chat.jinja
+++ b/private_gpt/components/llm/prompt/template/vigogne-2-7b-chat.jinja
@@ -1,2 +1,2 @@
 {# This template is coming from: https://huggingface.co/bofenghuang/vigogne-2-7b-chat/blob/main/tokenizer_config.json  #}
-{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif true == true %}{% set loop_messages = messages %}{% set system_message = 'Vous êtes Vigogne, un assistant IA créé par Zaion Lab. Vous suivez extrêmement bien les instructions. Aidez autant que vous le pouvez.' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% if system_message != false %}{{ '<|system|>: ' + system_message + '\\n' }}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '<|user|>: ' + message['content'].strip() + '\\n' }}{% elif message['role'] == 'assistant' %}{{ '<|assistant|>: ' + message['content'].strip() + eos_token + '\\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>:' }}{% endif %}
\ No newline at end of file
+{{ bos_token }}{% if messages[0]['role'] == 'system' %}{% set loop_messages = messages[1:] %}{% set system_message = messages[0]['content'] %}{% elif true == true %}{% set loop_messages = messages %}{% set system_message = 'Vous êtes Vigogne, un assistant IA créé par Zaion Lab. Vous suivez extrêmement bien les instructions. Aidez autant que vous le pouvez.' %}{% else %}{% set loop_messages = messages %}{% set system_message = false %}{% endif %}{% if system_message != false %}{{ '<|system|>: ' + system_message + '\n' }}{% endif %}{% for message in loop_messages %}{% if (message['role'] == 'user') != (loop.index0 % 2 == 0) %}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{% endif %}{% if message['role'] == 'user' %}{{ '<|user|>: ' + message['content'].strip() + '\n' }}{% elif message['role'] == 'assistant' %}{{ '<|assistant|>: ' + message['content'].strip() + eos_token + '\n' }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|assistant|>:' }}{% endif %}
\ No newline at end of file
diff --git a/pyproject.toml b/pyproject.toml
index 73ecc710..7a808203 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -36,12 +36,13 @@ gradio = "^4.7.1"
 [tool.poetry.group.local]
 optional = true
 [tool.poetry.group.local.dependencies]
-llama-cpp-python = "^0.2.11"
-numpy = "1.26.0"
+llama-cpp-python = "^0.2.20"
+jinja2 = "^3.1.2"
+# numpy = "1.26.0"
 sentence-transformers = "^2.2.2"
 # https://stackoverflow.com/questions/76327419/valueerror-libcublas-so-0-9-not-found-in-the-system-path
 torch = ">=2.0.0, !=2.0.1, !=2.1.0"
-transformers = "^4.34.0"
+transformers = "^4.35.2"
 
 [tool.poetry.extras]
 chroma = ["chromadb"]