diff --git a/poetry.lock b/poetry.lock
index ea6df3bd..3e292bfe 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 1.8.5 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 = "annotated-types"
@@ -6,6 +6,7 @@ version = "0.7.0"
 description = "Reusable constraint types to use with typing.Annotated"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 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"},
@@ -13,13 +14,14 @@ files = [
 
 [[package]]
 name = "anthropic"
-version = "0.45.2"
+version = "0.48.0"
 description = "The official Python library for the anthropic API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
-    {file = "anthropic-0.45.2-py3-none-any.whl", hash = "sha256:ecd746f7274451dfcb7e1180571ead624c7e1195d1d46cb7c70143d2aedb4d35"},
-    {file = "anthropic-0.45.2.tar.gz", hash = "sha256:32a18b9ecd12c91b2be4cae6ca2ab46a06937b5aa01b21308d97a6d29794fb5e"},
+    {file = "anthropic-0.48.0-py3-none-any.whl", hash = "sha256:e2495a07d14484f3219a5c0b902a63f9df8c2b3bd358f68b5ee86f1e89d1ba81"},
+    {file = "anthropic-0.48.0.tar.gz", hash = "sha256:5e94b571a3874295b6c8600d3797875abdca18946a9ade68b6aa0408caa31cad"},
 ]
 
 [package.dependencies]
@@ -41,6 +43,7 @@ version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
     {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
     {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
@@ -54,7 +57,7 @@ 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]]
@@ -63,6 +66,7 @@ version = "3.8.1"
 description = "ASGI specs, helper code, and adapters"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "asgiref-3.8.1-py3-none-any.whl", hash = "sha256:3e1e3ecc849832fe52ccf2cb6686b7a55f82bb1d6aee72a58826471390335e47"},
     {file = "asgiref-3.8.1.tar.gz", hash = "sha256:c343bd80a0bec947a9860adb4c432ffa7db769836c64238fc34bdc3fec84d590"},
@@ -80,18 +84,19 @@ version = "25.1.0"
 description = "Classes Without Boilerplate"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "attrs-25.1.0-py3-none-any.whl", hash = "sha256:c75a69e28a550a7e93789579c22aa26b0f5b83b75dc4e08fe092980051e1090a"},
     {file = "attrs-25.1.0.tar.gz", hash = "sha256:1c97078a80c814273a76b2a298a932eb681c87415c11dee0a6921de7f1b02c3e"},
 ]
 
 [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 = "backoff"
@@ -99,6 +104,7 @@ version = "2.2.1"
 description = "Function decoration for backoff and retry"
 optional = false
 python-versions = ">=3.7,<4.0"
+groups = ["dev"]
 files = [
     {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"},
     {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"},
@@ -106,36 +112,63 @@ files = [
 
 [[package]]
 name = "bcrypt"
-version = "4.2.1"
+version = "4.3.0"
 description = "Modern password hashing for your software and your servers"
 optional = false
-python-versions = ">=3.7"
-files = [
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-    {file = "bcrypt-4.2.1-cp37-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b1ee315739bc8387aa36ff127afc99120ee452924e0df517a8f3e4c0187a0f5f"},
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+    {file = "bcrypt-4.3.0-cp39-abi3-musllinux_1_1_aarch64.whl", hash = "sha256:17a854d9a7a476a89dcef6c8bd119ad23e0f82557afbd2c442777a16408e614f"},
+    {file = "bcrypt-4.3.0-cp39-abi3-musllinux_1_1_x86_64.whl", hash = "sha256:6fb1fd3ab08c0cbc6826a2e0447610c6f09e983a281b919ed721ad32236b8b23"},
+    {file = "bcrypt-4.3.0-cp39-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:e965a9c1e9a393b8005031ff52583cedc15b7884fce7deb8b0346388837d6cfe"},
+    {file = "bcrypt-4.3.0-cp39-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:79e70b8342a33b52b55d93b3a59223a844962bef479f6a0ea318ebbcadf71505"},
+    {file = "bcrypt-4.3.0-cp39-abi3-win32.whl", hash = "sha256:b4d4e57f0a63fd0b358eb765063ff661328f69a04494427265950c71b992a39a"},
+    {file = "bcrypt-4.3.0-cp39-abi3-win_amd64.whl", hash = "sha256:e53e074b120f2877a35cc6c736b8eb161377caae8925c17688bd46ba56daaa5b"},
+    {file = "bcrypt-4.3.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:c950d682f0952bafcceaf709761da0a32a942272fad381081b51096ffa46cea1"},
+    {file = "bcrypt-4.3.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:107d53b5c67e0bbc3f03ebf5b030e0403d24dda980f8e244795335ba7b4a027d"},
+    {file = "bcrypt-4.3.0-pp310-pypy310_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:b693dbb82b3c27a1604a3dff5bfc5418a7e6a781bb795288141e5f80cf3a3492"},
+    {file = "bcrypt-4.3.0-pp310-pypy310_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:b6354d3760fcd31994a14c89659dee887f1351a06e5dac3c1142307172a79f90"},
+    {file = "bcrypt-4.3.0-pp311-pypy311_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:a839320bf27d474e52ef8cb16449bb2ce0ba03ca9f44daba6d93fa1d8828e48a"},
+    {file = "bcrypt-4.3.0-pp311-pypy311_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:bdc6a24e754a555d7316fa4774e64c6c3997d27ed2d1964d55920c7c227bc4ce"},
+    {file = "bcrypt-4.3.0-pp311-pypy311_pp73-manylinux_2_34_aarch64.whl", hash = "sha256:55a935b8e9a1d2def0626c4269db3fcd26728cbff1e84f0341465c31c4ee56d8"},
+    {file = "bcrypt-4.3.0-pp311-pypy311_pp73-manylinux_2_34_x86_64.whl", hash = "sha256:57967b7a28d855313a963aaea51bf6df89f833db4320da458e5b3c5ab6d4c938"},
+    {file = "bcrypt-4.3.0.tar.gz", hash = "sha256:3a3fd2204178b6d2adcf09cb4f6426ffef54762577a7c9b54c159008cb288c18"},
 ]
 
 [package.extras]
@@ -148,6 +181,7 @@ version = "1.2.2.post1"
 description = "A simple, correct Python build frontend"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"},
     {file = "build-1.2.2.post1.tar.gz", hash = "sha256:b36993e92ca9375a219c99e606a122ff365a760a2d4bba0caa09bd5278b608b7"},
@@ -162,20 +196,21 @@ tomli = {version = ">=1.1.0", markers = "python_version < \"3.11\""}
 
 [package.extras]
 docs = ["furo (>=2023.08.17)", "sphinx (>=7.0,<8.0)", "sphinx-argparse-cli (>=1.5)", "sphinx-autodoc-typehints (>=1.10)", "sphinx-issues (>=3.0.0)"]
-test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0)", "setuptools (>=56.0.0)", "setuptools (>=56.0.0)", "setuptools (>=67.8.0)", "wheel (>=0.36.0)"]
+test = ["build[uv,virtualenv]", "filelock (>=3)", "pytest (>=6.2.4)", "pytest-cov (>=2.12)", "pytest-mock (>=2)", "pytest-rerunfailures (>=9.1)", "pytest-xdist (>=1.34)", "setuptools (>=42.0.0) ; python_version < \"3.10\"", "setuptools (>=56.0.0) ; python_version == \"3.10\"", "setuptools (>=56.0.0) ; python_version == \"3.11\"", "setuptools (>=67.8.0) ; python_version >= \"3.12\"", "wheel (>=0.36.0)"]
 typing = ["build[uv]", "importlib-metadata (>=5.1)", "mypy (>=1.9.0,<1.10.0)", "tomli", "typing-extensions (>=3.7.4.3)"]
 uv = ["uv (>=0.1.18)"]
 virtualenv = ["virtualenv (>=20.0.35)"]
 
 [[package]]
 name = "cachetools"
-version = "5.5.1"
+version = "5.5.2"
 description = "Extensible memoizing collections and decorators"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
-    {file = "cachetools-5.5.1-py3-none-any.whl", hash = "sha256:b76651fdc3b24ead3c648bbdeeb940c1b04d365b38b4af66788f9ec4a81d42bb"},
-    {file = "cachetools-5.5.1.tar.gz", hash = "sha256:70f238fbba50383ef62e55c6aff6d9673175fe59f7c6782c7a0b9e38f4a9df95"},
+    {file = "cachetools-5.5.2-py3-none-any.whl", hash = "sha256:d26a22bcc62eb95c3beabd9f1ee5e820d3d2704fe2967cbe350e20c8ffcd3f0a"},
+    {file = "cachetools-5.5.2.tar.gz", hash = "sha256:1a661caa9175d26759571b2e19580f9d6393969e5dfca11fdb1f947a23e640d4"},
 ]
 
 [[package]]
@@ -184,6 +219,7 @@ version = "2025.1.31"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
 files = [
     {file = "certifi-2025.1.31-py3-none-any.whl", hash = "sha256:ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe"},
     {file = "certifi-2025.1.31.tar.gz", hash = "sha256:3d5da6925056f6f18f119200434a4780a94263f10d1c21d032a6f6b2baa20651"},
@@ -195,6 +231,7 @@ version = "3.4.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
     {file = "charset_normalizer-3.4.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:91b36a978b5ae0ee86c394f5a54d6ef44db1de0815eb43de826d41d21e4af3de"},
     {file = "charset_normalizer-3.4.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7461baadb4dc00fd9e0acbe254e3d7d2112e7f92ced2adc96e54ef6501c5f176"},
@@ -296,6 +333,7 @@ version = "0.7.6"
 description = "Chromas fork of hnswlib"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "chroma_hnswlib-0.7.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f35192fbbeadc8c0633f0a69c3d3e9f1a4eab3a46b65458bbcbcabdd9e895c36"},
     {file = "chroma_hnswlib-0.7.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:6f007b608c96362b8f0c8b6b2ac94f67f83fcbabd857c378ae82007ec92f4d82"},
@@ -337,6 +375,7 @@ version = "0.6.3"
 description = "Chroma."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "chromadb-0.6.3-py3-none-any.whl", hash = "sha256:4851258489a3612b558488d98d09ae0fe0a28d5cad6bd1ba64b96fdc419dc0e5"},
     {file = "chromadb-0.6.3.tar.gz", hash = "sha256:c8f34c0b704b9108b04491480a36d42e894a960429f87c6516027b5481d59ed3"},
@@ -378,6 +417,7 @@ version = "8.1.8"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "click-8.1.8-py3-none-any.whl", hash = "sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2"},
     {file = "click-8.1.8.tar.gz", hash = "sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"},
@@ -392,6 +432,7 @@ version = "5.13.12"
 description = ""
 optional = false
 python-versions = "<4.0,>=3.9"
+groups = ["dev"]
 files = [
     {file = "cohere-5.13.12-py3-none-any.whl", hash = "sha256:2a043591a3e5280b47716a6b311e4c7f58e799364113a9cb81b50cd4f6c95f7e"},
     {file = "cohere-5.13.12.tar.gz", hash = "sha256:97bb9ac107e580780b941acbabd3aa5e71960e6835398292c46aaa8a0a4cab88"},
@@ -414,6 +455,8 @@ version = "0.4.6"
 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 = ["dev"]
+markers = "sys_platform == \"win32\" or os_name == \"nt\" or 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 = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
@@ -425,6 +468,7 @@ version = "15.0.1"
 description = "Colored terminal output for Python's logging module"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["dev"]
 files = [
     {file = "coloredlogs-15.0.1-py2.py3-none-any.whl", hash = "sha256:612ee75c546f53e92e70049c9dbfcc18c935a2b9a53b66085ce9ef6a6e5c0934"},
     {file = "coloredlogs-15.0.1.tar.gz", hash = "sha256:7c991aa71a4577af2f82600d8f8f3a89f936baeaf9b50a9c197da014e5bf16b0"},
@@ -442,6 +486,7 @@ version = "8.2.0"
 description = "Deep Difference and Search of any Python object/data. Recreate objects by adding adding deltas to each other."
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "deepdiff-8.2.0-py3-none-any.whl", hash = "sha256:5091f2cdfd372b1b9f6bfd8065ba323ae31118dc4e42594371b38c8bea3fd0a4"},
     {file = "deepdiff-8.2.0.tar.gz", hash = "sha256:6ec78f65031485735545ffbe7a61e716c3c2d12ca6416886d5e9291fc76c46c3"},
@@ -460,6 +505,7 @@ version = "1.2.18"
 description = "Python @deprecated decorator to deprecate old python classes, functions or methods."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
+groups = ["main", "dev"]
 files = [
     {file = "Deprecated-1.2.18-py2.py3-none-any.whl", hash = "sha256:bd5011788200372a32418f888e326a09ff80d0214bd961147cfed01b5c018eec"},
     {file = "deprecated-1.2.18.tar.gz", hash = "sha256:422b6f6d859da6f2ef57857761bfb392480502a64c3028ca9bbe86085d72115d"},
@@ -469,7 +515,7 @@ files = [
 wrapt = ">=1.10,<2"
 
 [package.extras]
-dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools", "tox"]
+dev = ["PyTest", "PyTest-Cov", "bump2version (<1)", "setuptools ; python_version >= \"3.12\"", "tox"]
 
 [[package]]
 name = "distro"
@@ -477,6 +523,7 @@ version = "1.9.0"
 description = "Distro - an OS platform information API"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
 files = [
     {file = "distro-1.9.0-py3-none-any.whl", hash = "sha256:7bffd925d65168f85027d8da9af6bddab658135b840670a223589bc0c8ef02b2"},
     {file = "distro-1.9.0.tar.gz", hash = "sha256:2fa77c6fd8940f116ee1d6b94a2f90b13b5ea8d019b98bc8bafdcabcdd9bdbed"},
@@ -488,6 +535,7 @@ version = "0.9"
 description = "Module for converting between datetime.timedelta and Go's Duration strings."
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "durationpy-0.9-py3-none-any.whl", hash = "sha256:e65359a7af5cedad07fb77a2dd3f390f8eb0b74cb845589fa6c057086834dd38"},
     {file = "durationpy-0.9.tar.gz", hash = "sha256:fd3feb0a69a0057d582ef643c355c40d2fa1c942191f914d12203b1a01ac722a"},
@@ -499,6 +547,8 @@ version = "1.2.2"
 description = "Backport of PEP 654 (exception groups)"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "exceptiongroup-1.2.2-py3-none-any.whl", hash = "sha256:3111b9d131c238bec2f8f516e123e14ba243563fb135d3fe885990585aa7795b"},
     {file = "exceptiongroup-1.2.2.tar.gz", hash = "sha256:47c2edf7c6738fafb49fd34290706d1a1a2f4d1c6df275526b62cbb4aa5393cc"},
@@ -509,13 +559,14 @@ test = ["pytest (>=6)"]
 
 [[package]]
 name = "fastapi"
-version = "0.115.8"
+version = "0.115.9"
 description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
-    {file = "fastapi-0.115.8-py3-none-any.whl", hash = "sha256:753a96dd7e036b34eeef8babdfcfe3f28ff79648f86551eb36bfc1b0bf4a8cbf"},
-    {file = "fastapi-0.115.8.tar.gz", hash = "sha256:0ce9111231720190473e222cdf0f07f7206ad7e53ea02beb1d2dc36e2f0741e9"},
+    {file = "fastapi-0.115.9-py3-none-any.whl", hash = "sha256:4a439d7923e4de796bcc88b64e9754340fcd1574673cbd865ba8a99fe0d28c56"},
+    {file = "fastapi-0.115.9.tar.gz", hash = "sha256:9d7da3b196c5eed049bc769f9475cd55509a112fbe031c0ef2f53768ae68d13f"},
 ]
 
 [package.dependencies]
@@ -533,6 +584,7 @@ version = "1.10.0"
 description = "Fast read/write of AVRO files"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "fastavro-1.10.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:1a9fe0672d2caf0fe54e3be659b13de3cad25a267f2073d6f4b9f8862acc31eb"},
     {file = "fastavro-1.10.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:86dd0410770e0c99363788f0584523709d85e57bb457372ec5c285a482c17fe6"},
@@ -579,6 +631,7 @@ version = "3.17.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "filelock-3.17.0-py3-none-any.whl", hash = "sha256:533dc2f7ba78dc2f0f531fc6c4940addf7b70a481e269a5a3b93be94ffbe8338"},
     {file = "filelock-3.17.0.tar.gz", hash = "sha256:ee4e77401ef576ebb38cd7f13b9b28893194acc20a8e68e18730ba9c0e54660e"},
@@ -587,7 +640,7 @@ files = [
 [package.extras]
 docs = ["furo (>=2024.8.6)", "sphinx (>=8.1.3)", "sphinx-autodoc-typehints (>=3)"]
 testing = ["covdefaults (>=2.3)", "coverage (>=7.6.10)", "diff-cover (>=9.2.1)", "pytest (>=8.3.4)", "pytest-asyncio (>=0.25.2)", "pytest-cov (>=6)", "pytest-mock (>=3.14)", "pytest-timeout (>=2.3.1)", "virtualenv (>=20.28.1)"]
-typing = ["typing-extensions (>=4.12.2)"]
+typing = ["typing-extensions (>=4.12.2) ; python_version < \"3.11\""]
 
 [[package]]
 name = "flatbuffers"
@@ -595,6 +648,7 @@ version = "25.2.10"
 description = "The FlatBuffers serialization format for Python"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "flatbuffers-25.2.10-py2.py3-none-any.whl", hash = "sha256:ebba5f4d5ea615af3f7fd70fc310636fbb2bbd1f566ac0a23d98dd412de50051"},
     {file = "flatbuffers-25.2.10.tar.gz", hash = "sha256:97e451377a41262f8d9bd4295cc836133415cc03d8cb966410a4af92eb00d26e"},
@@ -606,6 +660,7 @@ version = "2025.2.0"
 description = "File-system specification"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "fsspec-2025.2.0-py3-none-any.whl", hash = "sha256:9de2ad9ce1f85e1931858535bc882543171d197001a0a5eb2ddc04f1781ab95b"},
     {file = "fsspec-2025.2.0.tar.gz", hash = "sha256:1c24b16eaa0a1798afa0337aa0db9b256718ab2a89c425371f5628d22c3b6afd"},
@@ -645,6 +700,7 @@ version = "2.38.0"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "google_auth-2.38.0-py2.py3-none-any.whl", hash = "sha256:e7dae6694313f434a2727bf2906f27ad259bae090d7aa896590d86feec3d9d4a"},
     {file = "google_auth-2.38.0.tar.gz", hash = "sha256:8285113607d3b80a3f1543b75962447ba8a09fe85783432a784fdeef6ac094c4"},
@@ -665,13 +721,14 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.67.0"
+version = "1.68.0"
 description = "Common protobufs used in Google APIs"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
-    {file = "googleapis_common_protos-1.67.0-py2.py3-none-any.whl", hash = "sha256:579de760800d13616f51cf8be00c876f00a9f146d3e6510e19d1f4111758b741"},
-    {file = "googleapis_common_protos-1.67.0.tar.gz", hash = "sha256:21398025365f138be356d5923e9168737d94d46a72aefee4a6110a1f23463c86"},
+    {file = "googleapis_common_protos-1.68.0-py2.py3-none-any.whl", hash = "sha256:aaf179b2f81df26dfadac95def3b16a95064c76a5f45f07e4c68a21bb371c4ac"},
+    {file = "googleapis_common_protos-1.68.0.tar.gz", hash = "sha256:95d38161f4f9af0d9423eed8fb7b64ffd2568c3464eb542ff02c5bfa1953ab3c"},
 ]
 
 [package.dependencies]
@@ -686,6 +743,7 @@ version = "0.18.0"
 description = "The official Python library for the groq API"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "groq-0.18.0-py3-none-any.whl", hash = "sha256:81d5ac00057a45d8ce559d23ab5d3b3893011d1f12c35187ab35a9182d826ea6"},
     {file = "groq-0.18.0.tar.gz", hash = "sha256:8e2ccfea406d68b3525af4b7c0e321fcb3d2a73fc60bb70b4156e6cd88c72f03"},
@@ -705,6 +763,7 @@ version = "1.70.0"
 description = "HTTP/2-based RPC framework"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "grpcio-1.70.0-cp310-cp310-linux_armv7l.whl", hash = "sha256:95469d1977429f45fe7df441f586521361e235982a0b39e33841549143ae2851"},
     {file = "grpcio-1.70.0-cp310-cp310-macosx_12_0_universal2.whl", hash = "sha256:ed9718f17fbdb472e33b869c77a16d0b55e166b100ec57b016dc7de9c8d236bf"},
@@ -772,6 +831,7 @@ version = "0.14.0"
 description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
     {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
     {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
@@ -783,6 +843,7 @@ version = "1.0.7"
 description = "A minimal low-level HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "httpcore-1.0.7-py3-none-any.whl", hash = "sha256:a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd"},
     {file = "httpcore-1.0.7.tar.gz", hash = "sha256:8551cb62a169ec7162ac7be8d4817d561f60e08eaa485234898414bb5a8a0b4c"},
@@ -804,6 +865,7 @@ version = "0.6.4"
 description = "A collection of framework independent HTTP protocol utils."
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
 files = [
     {file = "httptools-0.6.4-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3c73ce323711a6ffb0d247dcd5a550b8babf0f757e86a52558fe5b86d6fefcc0"},
     {file = "httptools-0.6.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:345c288418f0944a6fe67be8e6afa9262b18c7626c3ef3c28adc5eabc06a68da"},
@@ -859,6 +921,7 @@ version = "0.28.1"
 description = "The next generation HTTP client."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "httpx-0.28.1-py3-none-any.whl", hash = "sha256:d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad"},
     {file = "httpx-0.28.1.tar.gz", hash = "sha256:75e98c5f16b0f35b567856f597f06ff2270a374470a5c2392242528e3e3e42fc"},
@@ -871,7 +934,7 @@ httpcore = "==1.*"
 idna = "*"
 
 [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.*)"]
@@ -883,6 +946,7 @@ version = "0.4.0"
 description = "Consume Server-Sent Event (SSE) messages with HTTPX."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "httpx-sse-0.4.0.tar.gz", hash = "sha256:1e81a3a3070ce322add1d3529ed42eb5f70817f45ed6ec915ab753f961139721"},
     {file = "httpx_sse-0.4.0-py3-none-any.whl", hash = "sha256:f329af6eae57eaa2bdfd962b42524764af68075ea87370a2de920af5341e318f"},
@@ -890,13 +954,14 @@ files = [
 
 [[package]]
 name = "huggingface-hub"
-version = "0.28.1"
+version = "0.29.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
 files = [
-    {file = "huggingface_hub-0.28.1-py3-none-any.whl", hash = "sha256:aa6b9a3ffdae939b72c464dbb0d7f99f56e649b55c3d52406f49e0a5a620c0a7"},
-    {file = "huggingface_hub-0.28.1.tar.gz", hash = "sha256:893471090c98e3b6efbdfdacafe4052b20b84d59866fb6f54c33d9af18c303ae"},
+    {file = "huggingface_hub-0.29.1-py3-none-any.whl", hash = "sha256:352f69caf16566c7b6de84b54a822f6238e17ddd8ae3da4f8f2272aea5b198d5"},
+    {file = "huggingface_hub-0.29.1.tar.gz", hash = "sha256:9524eae42077b8ff4fc459ceb7a514eca1c1232b775276b009709fe2a084f250"},
 ]
 
 [package.dependencies]
@@ -928,6 +993,7 @@ version = "10.0"
 description = "Human friendly output for text interfaces using Python"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
+groups = ["dev"]
 files = [
     {file = "humanfriendly-10.0-py2.py3-none-any.whl", hash = "sha256:1697e1a8a8f550fd43c2865cd84542fc175a61dcb779b6fee18cf6b6ccba1477"},
     {file = "humanfriendly-10.0.tar.gz", hash = "sha256:6b0b831ce8f15f7300721aa49829fc4e83921a9a301cc7f606be6686a2288ddc"},
@@ -942,6 +1008,7 @@ version = "3.10"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
 python-versions = ">=3.6"
+groups = ["main", "dev"]
 files = [
     {file = "idna-3.10-py3-none-any.whl", hash = "sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3"},
     {file = "idna-3.10.tar.gz", hash = "sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9"},
@@ -956,6 +1023,7 @@ version = "8.4.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "importlib_metadata-8.4.0-py3-none-any.whl", hash = "sha256:66f342cc6ac9818fc6ff340576acd24d65ba0b3efabb2b4ac08b598965a4a2f1"},
     {file = "importlib_metadata-8.4.0.tar.gz", hash = "sha256:9a547d3bc3608b025f93d403fdd1aae741c24fbb8314df4b155675742ce303c5"},
@@ -967,7 +1035,7 @@ zipp = ">=0.5"
 [package.extras]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
 perf = ["ipython"]
-test = ["flufl.flake8", "importlib-resources (>=1.3)", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1)"]
+test = ["flufl.flake8", "importlib-resources (>=1.3) ; python_version < \"3.9\"", "jaraco.test (>=5.4)", "packaging", "pyfakefs", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-mypy", "pytest-perf (>=0.9.2)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\""]
 
 [[package]]
 name = "importlib-resources"
@@ -975,6 +1043,7 @@ version = "6.5.2"
 description = "Read resources from Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "importlib_resources-6.5.2-py3-none-any.whl", hash = "sha256:789cfdc3ed28c78b67a06acb8126751ced69a3d5f79c095a98298cd8a760ccec"},
     {file = "importlib_resources-6.5.2.tar.gz", hash = "sha256:185f87adef5bcc288449d98fb4fba07cea78bc036455dd44c5fc4a2fe78fed2c"},
@@ -984,7 +1053,7 @@ files = [
 zipp = {version = ">=3.1.0", markers = "python_version < \"3.10\""}
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+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)"]
@@ -997,6 +1066,7 @@ version = "2.0.0"
 description = "brain-dead simple config-ini parsing"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "iniconfig-2.0.0-py3-none-any.whl", hash = "sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"},
     {file = "iniconfig-2.0.0.tar.gz", hash = "sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3"},
@@ -1008,6 +1078,7 @@ version = "0.8.2"
 description = "Fast iterable JSON parser."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 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 = "sha256:b25bd626bde7fb51534190c7e3cb97cee89ee76b76d7585580e22f34f5e3f393"},
@@ -1093,6 +1164,7 @@ version = "4.23.0"
 description = "An implementation of JSON Schema validation for Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "jsonschema-4.23.0-py3-none-any.whl", hash = "sha256:fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566"},
     {file = "jsonschema-4.23.0.tar.gz", hash = "sha256:d71497fef26351a33265337fa77ffeb82423f3ea21283cd9467bb03999266bc4"},
@@ -1114,6 +1186,7 @@ version = "2024.10.1"
 description = "The JSON Schema meta-schemas and vocabularies, exposed as a Registry"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 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"},
@@ -1124,13 +1197,14 @@ referencing = ">=0.31.0"
 
 [[package]]
 name = "kubernetes"
-version = "32.0.0"
+version = "32.0.1"
 description = "Kubernetes python client"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
-    {file = "kubernetes-32.0.0-py2.py3-none-any.whl", hash = "sha256:60fd8c29e8e43d9c553ca4811895a687426717deba9c0a66fb2dcc3f5ef96692"},
-    {file = "kubernetes-32.0.0.tar.gz", hash = "sha256:319fa840345a482001ac5d6062222daeb66ec4d1bcb3087402aed685adf0aecb"},
+    {file = "kubernetes-32.0.1-py2.py3-none-any.whl", hash = "sha256:35282ab8493b938b08ab5526c7ce66588232df00ef5e1dbe88a419107dc10998"},
+    {file = "kubernetes-32.0.1.tar.gz", hash = "sha256:42f43d49abd437ada79a79a16bd48a604d3471a117a8347e87db693f2ba0ba28"},
 ]
 
 [package.dependencies]
@@ -1155,6 +1229,7 @@ version = "3.0.0"
 description = "Python port of markdown-it. Markdown parsing, done right!"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 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"},
@@ -1179,6 +1254,7 @@ version = "0.1.2"
 description = "Markdown URL utilities"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "mdurl-0.1.2-py3-none-any.whl", hash = "sha256:84008a41e51615a49fc9966191ff91509e3c40b939176e643fd50a5c2196b8f8"},
     {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
@@ -1190,6 +1266,7 @@ version = "5.1.0"
 description = "Python extension for MurmurHash (MurmurHash3), a set of fast and robust hash functions."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
     {file = "mmh3-5.1.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:eaf4ac5c6ee18ca9232238364d7f2a213278ae5ca97897cafaa123fcc7bb8bec"},
     {file = "mmh3-5.1.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:48f9aa8ccb9ad1d577a16104834ac44ff640d8de8c0caed09a2300df7ce8460a"},
@@ -1288,6 +1365,7 @@ version = "1.6"
 description = "An implementation of time.monotonic() for Python 2 & < 3.3"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "monotonic-1.6-py2.py3-none-any.whl", hash = "sha256:68687e19a14f11f26d140dd5c86f3dba4bf5df58003000ed467e0e2a69bca96c"},
     {file = "monotonic-1.6.tar.gz", hash = "sha256:3a55207bcfed53ddd5c5bae174524062935efed17792e9de2ad0205ce9ad63f7"},
@@ -1299,6 +1377,7 @@ version = "1.3.0"
 description = "Python library for arbitrary-precision floating-point arithmetic"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "mpmath-1.3.0-py3-none-any.whl", hash = "sha256:a0b2b9fe80bbcd81a6647ff13108738cfb482d481d826cc0e02f5b35e5c88d2c"},
     {file = "mpmath-1.3.0.tar.gz", hash = "sha256:7a28eb2a9774d00c7bc92411c19a89209d5da7c4c9a9e227be8330a23a25b91f"},
@@ -1307,7 +1386,7 @@ files = [
 [package.extras]
 develop = ["codecov", "pycodestyle", "pytest (>=4.6)", "pytest-cov", "wheel"]
 docs = ["sphinx"]
-gmpy = ["gmpy2 (>=2.1.0a4)"]
+gmpy = ["gmpy2 (>=2.1.0a4) ; platform_python_implementation != \"PyPy\""]
 tests = ["pytest (>=4.6)"]
 
 [[package]]
@@ -1316,6 +1395,7 @@ version = "1.0.1"
 description = "Optional static typing for Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "mypy-1.0.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:71a808334d3f41ef011faa5a5cd8153606df5fc0b56de5b2e89566c8093a0c9a"},
     {file = "mypy-1.0.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:920169f0184215eef19294fa86ea49ffd4635dedfdea2b57e45cb4ee85d5ccaf"},
@@ -1362,6 +1442,7 @@ version = "1.0.0"
 description = "Type system extensions for programs checked with the mypy type checker."
 optional = false
 python-versions = ">=3.5"
+groups = ["dev"]
 files = [
     {file = "mypy_extensions-1.0.0-py3-none-any.whl", hash = "sha256:4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d"},
     {file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
@@ -1373,6 +1454,7 @@ version = "1.26.4"
 description = "Fundamental package for array computing in Python"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
     {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
@@ -1418,6 +1500,7 @@ version = "3.2.2"
 description = "A generic, spec-compliant, thorough implementation of the OAuth request-signing logic"
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "oauthlib-3.2.2-py3-none-any.whl", hash = "sha256:8139f29aac13e25d502680e9e19963e83f16838d48a0d71c287fe40e7067fbca"},
     {file = "oauthlib-3.2.2.tar.gz", hash = "sha256:9859c40929662bec5d64f34d01c99e093149682a3f38915dc0655d5a633dd918"},
@@ -1434,6 +1517,7 @@ version = "1.19.2"
 description = "ONNX Runtime is a runtime accelerator for Machine Learning models"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
     {file = "onnxruntime-1.19.2-cp310-cp310-macosx_11_0_universal2.whl", hash = "sha256:84fa57369c06cadd3c2a538ae2a26d76d583e7c34bdecd5769d71ca5c0fc750e"},
     {file = "onnxruntime-1.19.2-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:bdc471a66df0c1cdef774accef69e9f2ca168c851ab5e4f2f3341512c7ef4666"},
@@ -1472,13 +1556,14 @@ sympy = "*"
 
 [[package]]
 name = "openai"
-version = "1.63.2"
+version = "1.65.1"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
-    {file = "openai-1.63.2-py3-none-any.whl", hash = "sha256:1f38b27b5a40814c2b7d8759ec78110df58c4a614c25f182809ca52b080ff4d4"},
-    {file = "openai-1.63.2.tar.gz", hash = "sha256:aeabeec984a7d2957b4928ceaa339e2ead19c61cfcf35ae62b7c363368d26360"},
+    {file = "openai-1.65.1-py3-none-any.whl", hash = "sha256:396652a6452dd42791b3ad8a3aab09b1feb7c1c4550a672586fb300760a8e204"},
+    {file = "openai-1.65.1.tar.gz", hash = "sha256:9d9370a20d2b8c3ce319fd2194c2eef5eab59effbcc5b04ff480977edc530fba"},
 ]
 
 [package.dependencies]
@@ -1501,6 +1586,7 @@ version = "1.27.0"
 description = "OpenTelemetry Python API"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "opentelemetry_api-1.27.0-py3-none-any.whl", hash = "sha256:953d5871815e7c30c81b56d910c707588000fff7a3ca1c73e6531911d53065e7"},
     {file = "opentelemetry_api-1.27.0.tar.gz", hash = "sha256:ed673583eaa5f81b5ce5e86ef7cdaf622f88ef65f0b9aab40b843dcae5bef342"},
@@ -1516,6 +1602,7 @@ version = "1.27.0"
 description = "OpenTelemetry Protobuf encoding"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "opentelemetry_exporter_otlp_proto_common-1.27.0-py3-none-any.whl", hash = "sha256:675db7fffcb60946f3a5c43e17d1168a3307a94a930ecf8d2ea1f286f3d4f79a"},
     {file = "opentelemetry_exporter_otlp_proto_common-1.27.0.tar.gz", hash = "sha256:159d27cf49f359e3798c4c3eb8da6ef4020e292571bd8c5604a2a573231dd5c8"},
@@ -1530,6 +1617,7 @@ version = "1.27.0"
 description = "OpenTelemetry Collector Protobuf over gRPC Exporter"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.27.0-py3-none-any.whl", hash = "sha256:56b5bbd5d61aab05e300d9d62a6b3c134827bbd28d0b12f2649c2da368006c9e"},
     {file = "opentelemetry_exporter_otlp_proto_grpc-1.27.0.tar.gz", hash = "sha256:af6f72f76bcf425dfb5ad11c1a6d6eca2863b91e63575f89bb7b4b55099d968f"},
@@ -1550,6 +1638,7 @@ version = "0.48b0"
 description = "Instrumentation Tools & Auto Instrumentation for OpenTelemetry Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "opentelemetry_instrumentation-0.48b0-py3-none-any.whl", hash = "sha256:a69750dc4ba6a5c3eb67986a337185a25b739966d80479befe37b546fc870b44"},
     {file = "opentelemetry_instrumentation-0.48b0.tar.gz", hash = "sha256:94929685d906380743a71c3970f76b5f07476eea1834abd5dd9d17abfe23cc35"},
@@ -1566,6 +1655,7 @@ version = "0.33.9"
 description = "OpenTelemetry Anthropic instrumentation"
 optional = false
 python-versions = "<4,>=3.9"
+groups = ["main"]
 files = [
     {file = "opentelemetry_instrumentation_anthropic-0.33.9-py3-none-any.whl", hash = "sha256:443fc46d7de9d95a86efebb4de1119672ba86f6da113cc7e1bb8129ce9978439"},
     {file = "opentelemetry_instrumentation_anthropic-0.33.9.tar.gz", hash = "sha256:1866e832a777cfd407f83b3782f0788e702a9ede02eaaf7b6680d32f0c03d1e2"},
@@ -1583,6 +1673,7 @@ version = "0.48b0"
 description = "ASGI instrumentation for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "opentelemetry_instrumentation_asgi-0.48b0-py3-none-any.whl", hash = "sha256:ddb1b5fc800ae66e85a4e2eca4d9ecd66367a8c7b556169d9e7b57e10676e44d"},
     {file = "opentelemetry_instrumentation_asgi-0.48b0.tar.gz", hash = "sha256:04c32174b23c7fa72ddfe192dad874954968a6a924608079af9952964ecdf785"},
@@ -1604,6 +1695,7 @@ version = "0.33.9"
 description = "OpenTelemetry Bedrock instrumentation"
 optional = false
 python-versions = "<4,>=3.9"
+groups = ["main"]
 files = [
     {file = "opentelemetry_instrumentation_bedrock-0.33.9-py3-none-any.whl", hash = "sha256:b6e1ac590b3c0c5bb1df0266feb9d6e349df396d4b3d1a0da5377cb8e6e16816"},
     {file = "opentelemetry_instrumentation_bedrock-0.33.9.tar.gz", hash = "sha256:4441e5f2093edb1cbcd05298a39d180ea88d6efeb1bbe355886a97a57f6b542e"},
@@ -1622,6 +1714,7 @@ version = "0.33.9"
 description = "OpenTelemetry Cohere instrumentation"
 optional = false
 python-versions = "<4,>=3.9"
+groups = ["main"]
 files = [
     {file = "opentelemetry_instrumentation_cohere-0.33.9-py3-none-any.whl", hash = "sha256:a94ab72d0c438a154236f9907acee1a07f581408dbd8b06f0cb9301ef29b656b"},
     {file = "opentelemetry_instrumentation_cohere-0.33.9.tar.gz", hash = "sha256:931f24768337026a933cb7dd4850530e0545772f08abaf37f4664f1e768b73db"},
@@ -1639,6 +1732,7 @@ version = "0.48b0"
 description = "OpenTelemetry FastAPI Instrumentation"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "opentelemetry_instrumentation_fastapi-0.48b0-py3-none-any.whl", hash = "sha256:afeb820a59e139d3e5d96619600f11ce0187658b8ae9e3480857dd790bc024f2"},
     {file = "opentelemetry_instrumentation_fastapi-0.48b0.tar.gz", hash = "sha256:21a72563ea412c0b535815aeed75fc580240f1f02ebc72381cfab672648637a2"},
@@ -1660,6 +1754,7 @@ version = "0.33.9"
 description = "OpenTelemetry Groq instrumentation"
 optional = false
 python-versions = "<4,>=3.9"
+groups = ["main"]
 files = [
     {file = "opentelemetry_instrumentation_groq-0.33.9-py3-none-any.whl", hash = "sha256:52256832c06f9d1ba8c11efce0854f012e7900c313e410a02c8feb85b0e35407"},
     {file = "opentelemetry_instrumentation_groq-0.33.9.tar.gz", hash = "sha256:d83201c516a760fdc478413b855c6d9fb1aed48eb8d4166fa2dc7c762058f6b1"},
@@ -1677,6 +1772,7 @@ version = "0.33.9"
 description = "OpenTelemetry OpenAI instrumentation"
 optional = false
 python-versions = "<4,>=3.9"
+groups = ["main"]
 files = [
     {file = "opentelemetry_instrumentation_openai-0.33.9-py3-none-any.whl", hash = "sha256:9a54ec31a66c212cd42b7f02701beecea4068effdf227b11c96fecfbc6544f40"},
     {file = "opentelemetry_instrumentation_openai-0.33.9.tar.gz", hash = "sha256:5989a6049e63a09a6e9d699c077f7bbc932c0bda5a08f9ec0f4e88fd0c38d8b7"},
@@ -1695,6 +1791,7 @@ version = "0.33.9"
 description = "OpenTelemetry Replicate instrumentation"
 optional = false
 python-versions = "<4,>=3.9"
+groups = ["main"]
 files = [
     {file = "opentelemetry_instrumentation_replicate-0.33.9-py3-none-any.whl", hash = "sha256:cf2a0b83dfd150cb7a6827d405b088ed0a46beec7f652bfcc4acb5ffd3d2044a"},
     {file = "opentelemetry_instrumentation_replicate-0.33.9.tar.gz", hash = "sha256:e18f2ce224ae1efc2158263aaec6c7b487d7498da9a08d1a594df484e86fce88"},
@@ -1712,6 +1809,7 @@ version = "1.27.0"
 description = "OpenTelemetry Python Proto"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "opentelemetry_proto-1.27.0-py3-none-any.whl", hash = "sha256:b133873de5581a50063e1e4b29cdcf0c5e253a8c2d8dc1229add20a4c3830ace"},
     {file = "opentelemetry_proto-1.27.0.tar.gz", hash = "sha256:33c9345d91dafd8a74fc3d7576c5a38f18b7fdf8d02983ac67485386132aedd6"},
@@ -1726,6 +1824,7 @@ version = "1.27.0"
 description = "OpenTelemetry Python SDK"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "opentelemetry_sdk-1.27.0-py3-none-any.whl", hash = "sha256:365f5e32f920faf0fd9e14fdfd92c086e317eaa5f860edba9cdc17a380d9197d"},
     {file = "opentelemetry_sdk-1.27.0.tar.gz", hash = "sha256:d525017dea0ccce9ba4e0245100ec46ecdc043f2d7b8315d56b19aff0904fa6f"},
@@ -1742,6 +1841,7 @@ version = "0.48b0"
 description = "OpenTelemetry Semantic Conventions"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "opentelemetry_semantic_conventions-0.48b0-py3-none-any.whl", hash = "sha256:a0de9f45c413a8669788a38569c7e0a11ce6ce97861a628cca785deecdc32a1f"},
     {file = "opentelemetry_semantic_conventions-0.48b0.tar.gz", hash = "sha256:12d74983783b6878162208be57c9effcb89dc88691c64992d70bb89dc00daa1a"},
@@ -1757,6 +1857,7 @@ version = "0.4.2"
 description = "OpenTelemetry Semantic Conventions Extension for Large Language Models"
 optional = false
 python-versions = "<4,>=3.9"
+groups = ["main"]
 files = [
     {file = "opentelemetry_semantic_conventions_ai-0.4.2-py3-none-any.whl", hash = "sha256:0a5432aacd441eb7dbdf62e0de3f3d90ed4f69595b687a6dd2ccc4c5b94c5861"},
     {file = "opentelemetry_semantic_conventions_ai-0.4.2.tar.gz", hash = "sha256:90b969c7d838e03e30a9150ffe46543d8e58e9d7370c7221fd30d4ce4d7a1b96"},
@@ -1768,6 +1869,7 @@ version = "0.48b0"
 description = "Web util for OpenTelemetry"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "opentelemetry_util_http-0.48b0-py3-none-any.whl", hash = "sha256:76f598af93aab50328d2a69c786beaedc8b6a7770f7a818cc307eb353debfffb"},
     {file = "opentelemetry_util_http-0.48b0.tar.gz", hash = "sha256:60312015153580cc20f322e5cdc3d3ecad80a71743235bdb77716e742814623c"},
@@ -1779,6 +1881,7 @@ version = "5.3.0"
 description = "Orderly set"
 optional = false
 python-versions = ">=3.8"
+groups = ["main"]
 files = [
     {file = "orderly_set-5.3.0-py3-none-any.whl", hash = "sha256:c2c0bfe604f5d3d9b24e8262a06feb612594f37aa3845650548befd7772945d1"},
     {file = "orderly_set-5.3.0.tar.gz", hash = "sha256:80b3d8fdd3d39004d9aad389eaa0eab02c71f0a0511ba3a6d54a935a6c6a0acc"},
@@ -1790,6 +1893,7 @@ version = "3.10.15"
 description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "orjson-3.10.15-cp310-cp310-macosx_10_15_x86_64.macosx_11_0_arm64.macosx_10_15_universal2.whl", hash = "sha256:552c883d03ad185f720d0c09583ebde257e41b9521b74ff40e08b7dec4559c04"},
     {file = "orjson-3.10.15-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:616e3e8d438d02e4854f70bfdc03a6bcdb697358dbaa6bcd19cbe24d24ece1f8"},
@@ -1878,6 +1982,7 @@ version = "7.7.0"
 description = "A decorator to automatically detect mismatch when overriding a method."
 optional = false
 python-versions = ">=3.6"
+groups = ["dev"]
 files = [
     {file = "overrides-7.7.0-py3-none-any.whl", hash = "sha256:c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49"},
     {file = "overrides-7.7.0.tar.gz", hash = "sha256:55158fa3d93b98cc75299b1e67078ad9003ca27945c76162c1c0766d6f91820a"},
@@ -1889,6 +1994,7 @@ version = "24.2"
 description = "Core utilities for Python packages"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "packaging-24.2-py3-none-any.whl", hash = "sha256:09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759"},
     {file = "packaging-24.2.tar.gz", hash = "sha256:c228a6dc5e932d346bc5739379109d49e8853dd8223571c7c5b55260edc0b97f"},
@@ -1900,6 +2006,7 @@ version = "2.2.3"
 description = "Powerful data structures for data analysis, time series, and statistics"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "pandas-2.2.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1948ddde24197a0f7add2bdc4ca83bf2b1ef84a1bc8ccffd95eda17fd836ecb5"},
     {file = "pandas-2.2.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:381175499d3802cde0eabbaf6324cce0c4f5d52ca6f8c377c29ad442f50f6348"},
@@ -1986,6 +2093,7 @@ version = "1.20.2"
 description = "parse() is the opposite of format()"
 optional = false
 python-versions = "*"
+groups = ["main", "dev"]
 files = [
     {file = "parse-1.20.2-py2.py3-none-any.whl", hash = "sha256:967095588cb802add9177d0c0b6133b5ba33b1ea9007ca800e526f42a85af558"},
     {file = "parse-1.20.2.tar.gz", hash = "sha256:b41d604d16503c79d81af5165155c0b20f6c8d6c559efa66b4b695c3e5a0a0ce"},
@@ -1997,6 +2105,7 @@ version = "0.6.4"
 description = "Simplifies to build parse types based on the parse module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,>=2.7"
+groups = ["dev"]
 files = [
     {file = "parse_type-0.6.4-py2.py3-none-any.whl", hash = "sha256:83d41144a82d6b8541127bf212dd76c7f01baff680b498ce8a4d052a7a5bce4c"},
     {file = "parse_type-0.6.4.tar.gz", hash = "sha256:5e1ec10440b000c3f818006033372939e693a9ec0176f446d9303e4db88489a6"},
@@ -2007,9 +2116,9 @@ parse = {version = ">=1.18.0", markers = "python_version >= \"3.0\""}
 six = ">=1.15"
 
 [package.extras]
-develop = ["build (>=0.5.1)", "coverage (>=4.4)", "pylint", "pytest (<5.0)", "pytest (>=5.0)", "pytest-cov", "pytest-html (>=1.19.0)", "ruff", "setuptools", "setuptools-scm", "tox (>=2.8,<4.0)", "twine (>=1.13.0)", "virtualenv (<20.22.0)", "virtualenv (>=20.0.0)", "wheel"]
+develop = ["build (>=0.5.1)", "coverage (>=4.4)", "pylint", "pytest (<5.0) ; python_version < \"3.0\"", "pytest (>=5.0) ; python_version >= \"3.0\"", "pytest-cov", "pytest-html (>=1.19.0)", "ruff ; python_version >= \"3.7\"", "setuptools", "setuptools-scm", "tox (>=2.8,<4.0)", "twine (>=1.13.0)", "virtualenv (<20.22.0) ; python_version <= \"3.6\"", "virtualenv (>=20.0.0) ; python_version > \"3.6\"", "wheel"]
 docs = ["Sphinx (>=1.6)", "sphinx-bootstrap-theme (>=0.6.0)"]
-testing = ["pytest (<5.0)", "pytest (>=5.0)", "pytest-html (>=1.19.0)"]
+testing = ["pytest (<5.0) ; python_version < \"3.0\"", "pytest (>=5.0) ; python_version >= \"3.0\"", "pytest-html (>=1.19.0)"]
 
 [[package]]
 name = "pluggy"
@@ -2017,6 +2126,7 @@ version = "1.5.0"
 description = "plugin and hook calling mechanisms for python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "pluggy-1.5.0-py3-none-any.whl", hash = "sha256:44e1ad92c8ca002de6377e165f3e0f1be63266ab4d554740532335b9d75ea669"},
     {file = "pluggy-1.5.0.tar.gz", hash = "sha256:2cffa88e94fdc978c4c574f15f9e59b7f4201d439195c3715ca9e2486f1d0cf1"},
@@ -2028,17 +2138,19 @@ testing = ["pytest", "pytest-benchmark"]
 
 [[package]]
 name = "posthog"
-version = "3.13.0"
+version = "3.17.0"
 description = "Integrate PostHog into any python application."
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
-    {file = "posthog-3.13.0-py2.py3-none-any.whl", hash = "sha256:0afd0132055a3da9c6b0ecf763e7f2ce2b66659ef16169883394d0835c30d501"},
-    {file = "posthog-3.13.0.tar.gz", hash = "sha256:54e9de232459846b1686a0cfb58acb02b7ccda379d837e1eb1c3af62c3775915"},
+    {file = "posthog-3.17.0-py2.py3-none-any.whl", hash = "sha256:a61a686d0e99743d7ca1e346307c930d26de5819ba8927629bc5d8bda462794d"},
+    {file = "posthog-3.17.0.tar.gz", hash = "sha256:2a0a5784ff620278ec7685d137934ddee1ffa92217c5e9353f9d94201e458a14"},
 ]
 
 [package.dependencies]
 backoff = ">=1.10.0"
+distro = ">=1.5.0"
 monotonic = ">=1.5"
 python-dateutil = ">2.1"
 requests = ">=2.7,<3.0"
@@ -2048,7 +2160,7 @@ six = ">=1.5"
 dev = ["black", "django-stubs", "flake8", "flake8-print", "isort", "lxml", "mypy", "mypy-baseline", "pre-commit", "pydantic", "types-mock", "types-python-dateutil", "types-requests", "types-setuptools", "types-six"]
 langchain = ["langchain (>=0.2.0)"]
 sentry = ["django", "sentry-sdk"]
-test = ["anthropic", "coverage", "django", "flake8", "freezegun (==1.5.1)", "langchain-anthropic (>=0.2.0)", "langchain-community (>=0.2.0)", "langchain-openai (>=0.2.0)", "langgraph", "mock (>=2.0.0)", "openai", "pydantic", "pylint", "pytest", "pytest-asyncio", "pytest-timeout"]
+test = ["anthropic", "coverage", "django", "flake8", "freezegun (==1.5.1)", "langchain-anthropic (>=0.2.0)", "langchain-community (>=0.2.0)", "langchain-openai (>=0.2.0)", "langgraph", "mock (>=2.0.0)", "openai", "parameterized (>=0.8.1)", "pydantic", "pylint", "pytest", "pytest-asyncio", "pytest-timeout"]
 
 [[package]]
 name = "protobuf"
@@ -2056,6 +2168,7 @@ version = "4.25.6"
 description = ""
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "protobuf-4.25.6-cp310-abi3-win32.whl", hash = "sha256:61df6b5786e2b49fc0055f636c1e8f0aff263808bb724b95b164685ac1bcc13a"},
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@@ -2072,53 +2185,54 @@ files = [
 
 [[package]]
 name = "pyarrow"
-version = "19.0.0"
+version = "19.0.1"
 description = "Python library for Apache Arrow"
 optional = false
 python-versions = ">=3.9"
-files = [
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 [package.extras]
@@ -2130,6 +2244,7 @@ version = "0.6.1"
 description = "Pure-Python implementation of ASN.1 types and DER/BER/CER codecs (X.208)"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -2141,6 +2256,7 @@ version = "0.4.1"
 description = "A collection of ASN.1-based protocols modules"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -2155,6 +2271,7 @@ version = "2.10.6"
 description = "Data validation using Python type hints"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
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@@ -2167,7 +2284,7 @@ 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"
@@ -2175,6 +2292,7 @@ version = "2.27.2"
 description = "Core functionality for Pydantic validation and serialization"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
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@@ -2287,6 +2405,7 @@ version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -2301,6 +2420,7 @@ version = "0.48.9"
 description = "A SQL query builder API for Python"
 optional = false
 python-versions = "*"
+groups = ["dev"]
 files = [
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 ]
@@ -2311,6 +2431,7 @@ version = "1.2.0"
 description = "Wrappers to call pyproject.toml-based build backend hooks."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
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@@ -2322,6 +2443,8 @@ version = "3.5.4"
 description = "A python implementation of GNU readline."
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "sys_platform == \"win32\""
 files = [
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@@ -2336,6 +2459,7 @@ version = "7.4.4"
 description = "pytest: simple powerful testing with Python"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
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@@ -2358,6 +2482,7 @@ version = "0.23.8"
 description = "Pytest support for asyncio"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -2376,6 +2501,7 @@ version = "1.7.0"
 description = "Adds the ability to retry flaky tests in CI environments"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
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@@ -2393,6 +2519,7 @@ version = "2.9.0.post0"
 description = "Extensions to the standard Python datetime module"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["dev"]
 files = [
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@@ -2407,6 +2534,7 @@ version = "1.0.1"
 description = "Read key-value pairs from a .env file and set them as environment variables"
 optional = false
 python-versions = ">=3.8"
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 optional = false
 python-versions = "*"
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 [[package]]
@@ -2800,6 +2937,7 @@ version = "4.9"
 description = "Pure-Python RSA implementation"
 optional = false
 python-versions = ">=3.6,<4"
+groups = ["dev"]
 files = [
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@@ -2814,6 +2952,7 @@ version = "0.5.7"
 description = "An extremely fast Python linter and code formatter, written in Rust."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
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@@ -2837,23 +2976,24 @@ files = [
 
 [[package]]
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-version = "75.8.0"
+version = "75.8.2"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
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+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1) ; sys_platform != \"cygwin\"", "ruff (>=0.8.0) ; sys_platform != \"cygwin\""]
+core = ["importlib_metadata (>=6) ; python_version < \"3.10\"", "jaraco.collections", "jaraco.functools (>=4)", "jaraco.text (>=3.7)", "more_itertools", "more_itertools (>=8.8)", "packaging", "packaging (>=24.2)", "platformdirs (>=4.2.2)", "tomli (>=2.0.1) ; python_version < \"3.11\"", "wheel (>=0.43.0)"]
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 [[package]]
 name = "shellingham"
@@ -2861,6 +3001,7 @@ version = "1.5.4"
 description = "Tool to Detect Surrounding Shell"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
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@@ -2872,6 +3013,7 @@ version = "1.17.0"
 description = "Python 2 and 3 compatibility utilities"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+groups = ["dev"]
 files = [
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@@ -2883,6 +3025,7 @@ version = "1.3.1"
 description = "Sniff out which async library your code is running under"
 optional = false
 python-versions = ">=3.7"
+groups = ["main", "dev"]
 files = [
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@@ -2894,6 +3037,7 @@ version = "0.45.3"
 description = "The little ASGI library that shines."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
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@@ -2912,6 +3056,7 @@ version = "1.13.3"
 description = "Computer algebra system (CAS) in Python"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -2929,6 +3074,7 @@ version = "9.0.0"
 description = "Retry code until it succeeds"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
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@@ -2944,6 +3090,7 @@ version = "0.9.0"
 description = "tiktoken is a fast BPE tokeniser for use with OpenAI's models"
 optional = false
 python-versions = ">=3.9"
+groups = ["main"]
 files = [
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@@ -2991,6 +3138,7 @@ version = "0.21.0"
 description = ""
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_10_12_x86_64.whl", hash = "sha256:3c4c93eae637e7d2aaae3d376f06085164e1660f89304c0ab2b1d08a406636b2"},
     {file = "tokenizers-0.21.0-cp39-abi3-macosx_11_0_arm64.whl", hash = "sha256:f53ea537c925422a2e0e92a24cce96f6bc5046bbef24a1652a5edc8ba975f62e"},
@@ -3023,6 +3171,8 @@ version = "2.2.1"
 description = "A lil' TOML parser"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
+markers = "python_version < \"3.11\""
 files = [
     {file = "tomli-2.2.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:678e4fa69e4575eb77d103de3df8a895e1591b48e740211bd1067378c69e8249"},
     {file = "tomli-2.2.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:023aa114dd824ade0100497eb2318602af309e5a55595f76b626d6d9f3b7b0a6"},
@@ -3064,6 +3214,7 @@ version = "4.67.1"
 description = "Fast, Extensible Progress Meter"
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
     {file = "tqdm-4.67.1-py3-none-any.whl", hash = "sha256:26445eca388f82e72884e0d580d5464cd801a3ea01e63e5601bdff9ba6a48de2"},
     {file = "tqdm-4.67.1.tar.gz", hash = "sha256:f8aef9c52c08c13a65f30ea34f4e5aac3fd1a34959879d7e59e63027286627f2"},
@@ -3081,13 +3232,14 @@ telegram = ["requests"]
 
 [[package]]
 name = "typer"
-version = "0.15.1"
+version = "0.15.2"
 description = "Typer, build great CLIs. Easy to code. Based on Python type hints."
 optional = false
 python-versions = ">=3.7"
+groups = ["dev"]
 files = [
-    {file = "typer-0.15.1-py3-none-any.whl", hash = "sha256:7994fb7b8155b64d3402518560648446072864beefd44aa2dc36972a5972e847"},
-    {file = "typer-0.15.1.tar.gz", hash = "sha256:a0588c0a7fa68a1978a069818657778f86abe6ff5ea6abf472f940a08bfe4f0a"},
+    {file = "typer-0.15.2-py3-none-any.whl", hash = "sha256:46a499c6107d645a9c13f7ee46c5d5096cae6f5fc57dd11eccbbb9ae3e44ddfc"},
+    {file = "typer-0.15.2.tar.gz", hash = "sha256:ab2fab47533a813c49fe1f16b1a370fd5819099c00b119e0633df65f22144ba5"},
 ]
 
 [package.dependencies]
@@ -3102,6 +3254,7 @@ version = "4.23.0.20241208"
 description = "Typing stubs for jsonschema"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types_jsonschema-4.23.0.20241208-py3-none-any.whl", hash = "sha256:87934bd9231c99d8eff94cacfc06ba668f7973577a9bd9e1f9de957c5737313e"},
     {file = "types_jsonschema-4.23.0.20241208.tar.gz", hash = "sha256:e8b15ad01f290ecf6aea53f93fbdf7d4730e4600313e89e8a7f95622f7e87b7c"},
@@ -3116,6 +3269,7 @@ version = "2.9.0.20241206"
 description = "Typing stubs for python-dateutil"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types_python_dateutil-2.9.0.20241206-py3-none-any.whl", hash = "sha256:e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53"},
     {file = "types_python_dateutil-2.9.0.20241206.tar.gz", hash = "sha256:18f493414c26ffba692a72369fea7a154c502646301ebfe3d56a04b3767284cb"},
@@ -3127,6 +3281,7 @@ version = "2.32.0.20241016"
 description = "Typing stubs for requests"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "types-requests-2.32.0.20241016.tar.gz", hash = "sha256:0d9cad2f27515d0e3e3da7134a1b6f28fb97129d86b867f24d9c726452634d95"},
     {file = "types_requests-2.32.0.20241016-py3-none-any.whl", hash = "sha256:4195d62d6d3e043a4eaaf08ff8a62184584d2e8684e9d2aa178c7915a7da3747"},
@@ -3141,6 +3296,7 @@ version = "4.12.2"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
     {file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
@@ -3152,6 +3308,7 @@ version = "2025.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
+groups = ["dev"]
 files = [
     {file = "tzdata-2025.1-py2.py3-none-any.whl", hash = "sha256:7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639"},
     {file = "tzdata-2025.1.tar.gz", hash = "sha256:24894909e88cdb28bd1636c6887801df64cb485bd593f2fd83ef29075a81d694"},
@@ -3163,13 +3320,14 @@ version = "2.3.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 files = [
     {file = "urllib3-2.3.0-py3-none-any.whl", hash = "sha256:1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df"},
     {file = "urllib3-2.3.0.tar.gz", hash = "sha256:f8c5449b3cf0861679ce7e0503c7b44b5ec981bec0d1d3795a07f1ba96f0204d"},
 ]
 
 [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)"]
@@ -3180,6 +3338,7 @@ version = "0.34.0"
 description = "The lightning-fast ASGI server."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "uvicorn-0.34.0-py3-none-any.whl", hash = "sha256:023dc038422502fa28a09c7a30bf2b6991512da7dcdb8fd35fe57cfc154126f4"},
     {file = "uvicorn-0.34.0.tar.gz", hash = "sha256:404051050cd7e905de2c9a7e61790943440b3416f49cb409f965d9dcd0fa73e9"},
@@ -3193,12 +3352,12 @@ httptools = {version = ">=0.6.3", optional = true, markers = "extra == \"standar
 python-dotenv = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 pyyaml = {version = ">=5.1", optional = true, markers = "extra == \"standard\""}
 typing-extensions = {version = ">=4.0", markers = "python_version < \"3.11\""}
-uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "(sys_platform != \"win32\" and sys_platform != \"cygwin\") and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
+uvloop = {version = ">=0.14.0,<0.15.0 || >0.15.0,<0.15.1 || >0.15.1", optional = true, markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\" and extra == \"standard\""}
 watchfiles = {version = ">=0.13", optional = true, markers = "extra == \"standard\""}
 websockets = {version = ">=10.4", optional = true, markers = "extra == \"standard\""}
 
 [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 = "uvloop"
@@ -3206,6 +3365,8 @@ version = "0.21.0"
 description = "Fast implementation of asyncio event loop on top of libuv"
 optional = false
 python-versions = ">=3.8.0"
+groups = ["dev"]
+markers = "sys_platform != \"win32\" and sys_platform != \"cygwin\" and platform_python_implementation != \"PyPy\""
 files = [
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ec7e6b09a6fdded42403182ab6b832b71f4edaf7f37a9a0e371a01db5f0cb45f"},
     {file = "uvloop-0.21.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:196274f2adb9689a289ad7d65700d37df0c0930fd8e4e743fa4834e850d7719d"},
@@ -3257,6 +3418,7 @@ version = "1.0.4"
 description = "Simple, modern and high performance file watching and code reload in python."
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "watchfiles-1.0.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:ba5bb3073d9db37c64520681dd2650f8bd40902d991e7b4cfaeece3e32561d08"},
     {file = "watchfiles-1.0.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9f25d0ba0fe2b6d2c921cf587b2bf4c451860086534f40c384329fb96e2044d1"},
@@ -3340,6 +3502,7 @@ version = "1.8.0"
 description = "WebSocket client for Python with low level API options"
 optional = false
 python-versions = ">=3.8"
+groups = ["dev"]
 files = [
     {file = "websocket_client-1.8.0-py3-none-any.whl", hash = "sha256:17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526"},
     {file = "websocket_client-1.8.0.tar.gz", hash = "sha256:3239df9f44da632f96012472805d40a23281a991027ce11d2f45a6f24ac4c3da"},
@@ -3356,6 +3519,7 @@ version = "15.0"
 description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
 optional = false
 python-versions = ">=3.9"
+groups = ["dev"]
 files = [
     {file = "websockets-15.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5e6ee18a53dd5743e6155b8ff7e8e477c25b29b440f87f65be8165275c87fef0"},
     {file = "websockets-15.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ee06405ea2e67366a661ed313e14cf2a86e84142a3462852eb96348f7219cee3"},
@@ -3434,6 +3598,7 @@ version = "1.17.2"
 description = "Module for decorators, wrappers and monkey patching."
 optional = false
 python-versions = ">=3.8"
+groups = ["main", "dev"]
 files = [
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d57c572081fed831ad2d26fd430d565b76aa277ed1d30ff4d40670b1c0dd984"},
     {file = "wrapt-1.17.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:b5e251054542ae57ac7f3fba5d10bfff615b6c2fb09abeb37d2f1463f841ae22"},
@@ -3522,20 +3687,21 @@ version = "3.21.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
+groups = ["main", "dev"]
 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)"]
+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", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
+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 = "2.0"
+lock-version = "2.1"
 python-versions = ">=3.9,<4"
 content-hash = "a4ea51a34af494df07d810d923e6856a0418fb138c6357ba0cf8358713440219"
diff --git a/pyproject.toml b/pyproject.toml
index 5ea42ae0..b863571d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -3,7 +3,7 @@ name = "humanloop"
 
 [tool.poetry]
 name = "humanloop"
-version = "0.8.25b6"
+version = "0.8.25"
 description = ""
 readme = "README.md"
 authors = []
diff --git a/reference.md b/reference.md
index 3b4b2579..e8e2e707 100644
--- a/reference.md
+++ b/reference.md
@@ -56,7 +56,7 @@ client.prompts.log(
     messages=[{"role": "user", "content": "What really happened at Roswell?"}],
     inputs={"person": "Trump"},
     created_at=datetime.datetime.fromisoformat(
-        "2024-07-19 00:29:35.178000+00:00",
+        "2024-07-18 23:29:35.178000+00:00",
     ),
     provider_latency=6.5931549072265625,
     output_message={
@@ -140,6 +140,14 @@ client.prompts.log(
 <dl>
 <dd>
 
+**reasoning_tokens:** `typing.Optional[int]` — Number of reasoning tokens used to generate the output.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **output_tokens:** `typing.Optional[int]` — Number of tokens in the output generated by the model.
     
 </dd>
@@ -443,6 +451,14 @@ client.prompts.update_log(
 <dl>
 <dd>
 
+**reasoning_tokens:** `typing.Optional[int]` — Number of reasoning tokens used to generate the output.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **output_tokens:** `typing.Optional[int]` — Number of tokens in the output generated by the model.
     
 </dd>
@@ -1364,6 +1380,14 @@ Input variables should be specified with double curly bracket syntax: `{{input_n
 <dl>
 <dd>
 
+**template_language:** `typing.Optional[TemplateLanguage]` — The template language to use for rendering the template.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **provider:** `typing.Optional[ModelProviders]` — The company providing the underlying model service.
     
 </dd>
@@ -1444,6 +1468,14 @@ Input variables should be specified with double curly bracket syntax: `{{input_n
 <dl>
 <dd>
 
+**reasoning_effort:** `typing.Optional[ReasoningEffort]` — Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
 **tools:** `typing.Optional[typing.Sequence[ToolFunctionParams]]` — The tool specification that the model can choose to call if Tool calling is supported.
     
 </dd>
@@ -1754,6 +1786,104 @@ client.prompts.move(
 </dl>
 
 
+</dd>
+</dl>
+</details>
+
+<details><summary><code>client.prompts.<a href="src/humanloop/prompts/client.py">populate_template</a>(...)</code></summary>
+<dl>
+<dd>
+
+#### 📝 Description
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+Retrieve the Prompt with the given ID, including the populated template.
+
+By default, the deployed version of the Prompt is returned. Use the query parameters
+`version_id` or `environment` to target a specific version of the Prompt.
+</dd>
+</dl>
+</dd>
+</dl>
+
+#### 🔌 Usage
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+```python
+from humanloop import Humanloop
+
+client = Humanloop(
+    api_key="YOUR_API_KEY",
+)
+client.prompts.populate_template(
+    id="id",
+    request={"key": "value"},
+)
+
+```
+</dd>
+</dl>
+</dd>
+</dl>
+
+#### ⚙️ Parameters
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+**id:** `str` — Unique identifier for Prompt.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**request:** `typing.Dict[str, typing.Optional[typing.Any]]` 
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**version_id:** `typing.Optional[str]` — A specific Version ID of the Prompt to retrieve to populate the template.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**environment:** `typing.Optional[str]` — Name of the Environment to retrieve a deployed Version from to populate the template.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**request_options:** `typing.Optional[RequestOptions]` — Request-specific configuration.
+    
+</dd>
+</dl>
+</dd>
+</dl>
+
+
 </dd>
 </dl>
 </details>
@@ -6528,6 +6658,9 @@ Log to a Flow.
 
 You can use query parameters `version_id`, or `environment`, to target
 an existing version of the Flow. Otherwise, the default deployed version will be chosen.
+
+If you create the Flow Log with a `trace_status` of `incomplete`, you should later update it to `complete`
+in order to trigger Evaluators.
 </dd>
 </dl>
 </dd>
@@ -6572,10 +6705,10 @@ client.flows.log(
     output="The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.",
     trace_status="incomplete",
     start_time=datetime.datetime.fromisoformat(
-        "2024-07-08 22:40:35+00:00",
+        "2024-07-08 21:40:35+00:00",
     ),
     end_time=datetime.datetime.fromisoformat(
-        "2024-07-08 22:40:39+00:00",
+        "2024-07-08 21:40:39+00:00",
     ),
 )
 
@@ -6817,6 +6950,134 @@ client.flows.log(
 </dl>
 
 
+</dd>
+</dl>
+</details>
+
+<details><summary><code>client.flows.<a href="src/humanloop/flows/client.py">update_log</a>(...)</code></summary>
+<dl>
+<dd>
+
+#### 📝 Description
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+Update the status, inputs, output of a Flow Log.
+
+Marking a Flow Log as complete will trigger any monitoring Evaluators to run.
+Inputs and output (or error) must be provided in order to mark it as complete.
+
+The end_time log attribute will be set to match the time the log is marked as complete.
+</dd>
+</dl>
+</dd>
+</dl>
+
+#### 🔌 Usage
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+```python
+from humanloop import Humanloop
+
+client = Humanloop(
+    api_key="YOUR_API_KEY",
+)
+client.flows.update_log(
+    log_id="medqa_experiment_0001",
+    inputs={
+        "question": "Patient with a history of diabetes and normal tension presents with chest pain and shortness of breath."
+    },
+    output="The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.",
+    trace_status="complete",
+)
+
+```
+</dd>
+</dl>
+</dd>
+</dl>
+
+#### ⚙️ Parameters
+
+<dl>
+<dd>
+
+<dl>
+<dd>
+
+**log_id:** `str` — Unique identifier of the Flow Log.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**trace_status:** `TraceStatus` — Status of the Trace. When a Trace is marked as `complete`, no more Logs can be added to it. Monitoring Evaluators will only run on completed Traces.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**messages:** `typing.Optional[typing.Sequence[ChatMessageParams]]` — List of chat messages that were used as an input to the Flow.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**output_message:** `typing.Optional[ChatMessageParams]` — The output message returned by this Flow.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**inputs:** `typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]` — The inputs passed to the Flow Log.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**output:** `typing.Optional[str]` — The output of the Flow Log. Provide None to unset existing `output` value. Provide either this, `output_message` or `error`.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**error:** `typing.Optional[str]` — The error message of the Flow Log. Provide None to unset existing `error` value. Provide either this, `output_message` or `output`.
+    
+</dd>
+</dl>
+
+<dl>
+<dd>
+
+**request_options:** `typing.Optional[RequestOptions]` — Request-specific configuration.
+    
+</dd>
+</dl>
+</dd>
+</dl>
+
+
 </dd>
 </dl>
 </details>
@@ -7299,118 +7560,6 @@ client.flows.upsert(
 </dl>
 
 
-</dd>
-</dl>
-</details>
-
-<details><summary><code>client.flows.<a href="src/humanloop/flows/client.py">update_log</a>(...)</code></summary>
-<dl>
-<dd>
-
-#### 📝 Description
-
-<dl>
-<dd>
-
-<dl>
-<dd>
-
-Update the status, inputs, output of a Flow Log.
-
-Marking a Flow Log as complete will trigger any monitoring Evaluators to run.
-Inputs and output (or error) must be provided in order to mark it as complete.
-
-The end_time log attribute will be set to match the time the log is marked as complete.
-</dd>
-</dl>
-</dd>
-</dl>
-
-#### 🔌 Usage
-
-<dl>
-<dd>
-
-<dl>
-<dd>
-
-```python
-from humanloop import Humanloop
-
-client = Humanloop(
-    api_key="YOUR_API_KEY",
-)
-client.flows.update_log(
-    log_id="medqa_experiment_0001",
-    inputs={
-        "question": "Patient with a history of diabetes and normal tension presents with chest pain and shortness of breath."
-    },
-    output="The patient is likely experiencing a myocardial infarction. Immediate medical attention is required.",
-    trace_status="complete",
-)
-
-```
-</dd>
-</dl>
-</dd>
-</dl>
-
-#### ⚙️ Parameters
-
-<dl>
-<dd>
-
-<dl>
-<dd>
-
-**log_id:** `str` — Unique identifier of the Flow Log.
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**trace_status:** `TraceStatus` — Status of the Trace. When a Trace is marked as `complete`, no more Logs can be added to it. Monitoring Evaluators will only run on completed Traces.
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**inputs:** `typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]]` — The inputs passed to the Flow Log.
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**output:** `typing.Optional[str]` — The output of the Flow Log. Provide None to unset existing `output` value. Provide either this or `error`.
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**error:** `typing.Optional[str]` — The error message of the Flow Log. Provide None to unset existing `error` value. Provide either this or `output`.
-    
-</dd>
-</dl>
-
-<dl>
-<dd>
-
-**request_options:** `typing.Optional[RequestOptions]` — Request-specific configuration.
-    
-</dd>
-</dl>
-</dd>
-</dl>
-
-
 </dd>
 </dl>
 </details>
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 00000000..ccd19f66
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,16 @@
+deepdiff==^8.2.0
+httpx>=0.21.2
+httpx-sse==0.4.0
+mmh3==^5.1.0
+opentelemetry-api<=1.27.0
+opentelemetry-instrumentation-anthropic>=0.20
+opentelemetry-instrumentation-bedrock>=0.15
+opentelemetry-instrumentation-cohere>=0.20
+opentelemetry-instrumentation-groq>=0.29
+opentelemetry-instrumentation-openai>=0.20
+opentelemetry-instrumentation-replicate>=0.20
+opentelemetry-sdk<=1.27.0
+parse>=1
+pydantic>= 1.9.2
+pydantic-core==^2.18.2
+typing_extensions>= 4.0.0
diff --git a/src/humanloop/__init__.py b/src/humanloop/__init__.py
index 9d57c4fb..286ef53b 100644
--- a/src/humanloop/__init__.py
+++ b/src/humanloop/__init__.py
@@ -122,6 +122,7 @@
     PromptResponseStop,
     PromptResponseTemplate,
     ProviderApiKeys,
+    ReasoningEffort,
     ResponseFormat,
     ResponseFormatType,
     RunStatsResponse,
@@ -129,6 +130,7 @@
     RunVersionResponse,
     SelectEvaluatorStatsResponse,
     SortOrder,
+    TemplateLanguage,
     TextChatContent,
     TextEvaluatorStatsResponse,
     TimeUnit,
@@ -562,6 +564,7 @@
     "PromptsCallStreamRequestToolChoiceParams",
     "ProviderApiKeys",
     "ProviderApiKeysParams",
+    "ReasoningEffort",
     "ResponseFormat",
     "ResponseFormatParams",
     "ResponseFormatType",
@@ -576,6 +579,7 @@
     "SelectEvaluatorStatsResponse",
     "SelectEvaluatorStatsResponseParams",
     "SortOrder",
+    "TemplateLanguage",
     "TextChatContent",
     "TextChatContentParams",
     "TextEvaluatorStatsResponse",
diff --git a/src/humanloop/core/client_wrapper.py b/src/humanloop/core/client_wrapper.py
index 573e3182..78131f1c 100644
--- a/src/humanloop/core/client_wrapper.py
+++ b/src/humanloop/core/client_wrapper.py
@@ -16,7 +16,7 @@ def get_headers(self) -> typing.Dict[str, str]:
         headers: typing.Dict[str, str] = {
             "X-Fern-Language": "Python",
             "X-Fern-SDK-Name": "humanloop",
-            "X-Fern-SDK-Version": "0.8.25b6",
+            "X-Fern-SDK-Version": "0.8.25",
         }
         headers["X-API-KEY"] = self.api_key
         return headers
diff --git a/src/humanloop/core/http_client.py b/src/humanloop/core/http_client.py
index 1a1a1311..275a54cc 100644
--- a/src/humanloop/core/http_client.py
+++ b/src/humanloop/core/http_client.py
@@ -85,8 +85,8 @@ def _retry_timeout(response: httpx.Response, retries: int) -> float:
 
 
 def _should_retry(response: httpx.Response) -> bool:
-    retriable_400s = [429, 408, 409]
-    return response.status_code >= 500 or response.status_code in retriable_400s
+    retryable_400s = [429, 408, 409]
+    return response.status_code >= 500 or response.status_code in retryable_400s
 
 
 def remove_omit_from_dict(
@@ -183,7 +183,7 @@ def request(
         files: typing.Optional[typing.Dict[str, typing.Optional[typing.Union[File, typing.List[File]]]]] = None,
         headers: typing.Optional[typing.Dict[str, typing.Any]] = None,
         request_options: typing.Optional[RequestOptions] = None,
-        retries: int = 0,
+        retries: int = 2,
         omit: typing.Optional[typing.Any] = None,
     ) -> httpx.Response:
         base_url = self.get_base_url(base_url)
@@ -269,7 +269,7 @@ def stream(
         files: typing.Optional[typing.Dict[str, typing.Optional[typing.Union[File, typing.List[File]]]]] = None,
         headers: typing.Optional[typing.Dict[str, typing.Any]] = None,
         request_options: typing.Optional[RequestOptions] = None,
-        retries: int = 0,
+        retries: int = 2,
         omit: typing.Optional[typing.Any] = None,
     ) -> typing.Iterator[httpx.Response]:
         base_url = self.get_base_url(base_url)
@@ -359,7 +359,7 @@ async def request(
         files: typing.Optional[typing.Dict[str, typing.Optional[typing.Union[File, typing.List[File]]]]] = None,
         headers: typing.Optional[typing.Dict[str, typing.Any]] = None,
         request_options: typing.Optional[RequestOptions] = None,
-        retries: int = 0,
+        retries: int = 2,
         omit: typing.Optional[typing.Any] = None,
     ) -> httpx.Response:
         base_url = self.get_base_url(base_url)
@@ -445,7 +445,7 @@ async def stream(
         files: typing.Optional[typing.Dict[str, typing.Optional[typing.Union[File, typing.List[File]]]]] = None,
         headers: typing.Optional[typing.Dict[str, typing.Any]] = None,
         request_options: typing.Optional[RequestOptions] = None,
-        retries: int = 0,
+        retries: int = 2,
         omit: typing.Optional[typing.Any] = None,
     ) -> typing.AsyncIterator[httpx.Response]:
         base_url = self.get_base_url(base_url)
diff --git a/src/humanloop/core/pagination.py b/src/humanloop/core/pagination.py
index 5f482635..74f8ae61 100644
--- a/src/humanloop/core/pagination.py
+++ b/src/humanloop/core/pagination.py
@@ -10,7 +10,7 @@
 T = typing.TypeVar("T")
 
 
-# SDKs implement a Page ABC per-pagination request, the endpoint then retuns a pager that wraps this type
+# SDKs implement a Page ABC per-pagination request, the endpoint then returns a pager that wraps this type
 # for example, an endpoint will return SyncPager[UserPage] where UserPage implements the Page ABC. ex:
 #
 # SyncPager<InnerListType>(
diff --git a/src/humanloop/core/pydantic_utilities.py b/src/humanloop/core/pydantic_utilities.py
index ee8f0e41..ca1f4792 100644
--- a/src/humanloop/core/pydantic_utilities.py
+++ b/src/humanloop/core/pydantic_utilities.py
@@ -79,7 +79,7 @@ def to_jsonable_with_fallback(
 class UniversalBaseModel(pydantic.BaseModel):
     if IS_PYDANTIC_V2:
         model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(
-            # Allow fields begining with `model_` to be used in the model
+            # Allow fields beginning with `model_` to be used in the model
             protected_namespaces=(),
         )  # type: ignore # Pydantic v2
 
@@ -128,7 +128,7 @@ def dict(self, **kwargs: typing.Any) -> typing.Dict[str, typing.Any]:
         Override the default dict method to `exclude_unset` by default. This function patches
         `exclude_unset` to work include fields within non-None default values.
         """
-        # Note: the logic here is multi-plexed given the levers exposed in Pydantic V1 vs V2
+        # Note: the logic here is multiplexed given the levers exposed in Pydantic V1 vs V2
         # Pydantic V1's .dict can be extremely slow, so we do not want to call it twice.
         #
         # We'd ideally do the same for Pydantic V2, but it shells out to a library to serialize models
diff --git a/src/humanloop/eval_utils/context.py b/src/humanloop/eval_utils/context.py
index aa048abf..dd10e26c 100644
--- a/src/humanloop/eval_utils/context.py
+++ b/src/humanloop/eval_utils/context.py
@@ -26,6 +26,9 @@ class EvaluationContext:
     """Required for associating a Log with the Evaluation Run."""
     run_id: str
 
+    """Whether a log has been made for this datapoint/ run_id pair."""
+    logged: bool
+
 
 _EVALUATION_CONTEXT_VAR: ContextVar[EvaluationContext] = ContextVar("__EVALUATION_CONTEXT")
 
diff --git a/src/humanloop/eval_utils/run.py b/src/humanloop/eval_utils/run.py
index 524768d6..358c072c 100644
--- a/src/humanloop/eval_utils/run.py
+++ b/src/humanloop/eval_utils/run.py
@@ -13,6 +13,7 @@
 import inspect
 import json
 import logging
+import signal
 import sys
 import threading
 import time
@@ -22,14 +23,24 @@
 from datetime import datetime
 from functools import partial
 from logging import INFO
-from typing import Callable, Dict, List, Literal, Optional, Sequence, Tuple, TypeVar, Union
-import warnings
+from typing import (
+    Callable,
+    Dict,
+    List,
+    Literal,
+    Optional,
+    Sequence,
+    Tuple,
+    TypeVar,
+    Union,
+)
 
 from humanloop import EvaluatorResponse, FlowResponse, PromptResponse, ToolResponse
 from humanloop.core.api_error import ApiError
 from humanloop.eval_utils.context import (
     EvaluationContext,
     get_evaluation_context,
+    evaluation_context_set,
     get_prompt_utility_context,
     in_prompt_utility_context,
     log_belongs_to_evaluated_file,
@@ -40,7 +51,10 @@
 # We use TypedDicts for requests, which is consistent with the rest of the SDK
 from humanloop.evaluators.client import EvaluatorsClient
 from humanloop.flows.client import FlowsClient
-from humanloop.otel.constants import HUMANLOOP_INTERCEPTED_HL_CALL_RESPONSE, HUMANLOOP_INTERCEPTED_HL_CALL_SPAN_NAME
+from humanloop.otel.constants import (
+    HUMANLOOP_INTERCEPTED_HL_CALL_RESPONSE,
+    HUMANLOOP_INTERCEPTED_HL_CALL_SPAN_NAME,
+)
 from humanloop.otel.helpers import write_to_opentelemetry_span
 from humanloop.prompts.client import PromptsClient
 from humanloop.requests import CodeEvaluatorRequestParams as CodeEvaluatorDict
@@ -169,11 +183,14 @@ def _overload_log(
         CreateFlowLogResponse,
         CreateEvaluatorLogResponse,
     ]:
-        if log_belongs_to_evaluated_file(log_args=kwargs):
+        if evaluation_context_set():
             evaluation_context = get_evaluation_context()
+        else:
+            evaluation_context = None
+
+        if log_belongs_to_evaluated_file(log_args=kwargs) and evaluation_context and not evaluation_context.logged:
             for attribute in ["source_datapoint_id", "run_id"]:
-                if attribute not in kwargs or kwargs[attribute] is None:
-                    kwargs[attribute] = getattr(evaluation_context, attribute)
+                kwargs[attribute] = getattr(evaluation_context, attribute)
 
             # Call the original .log method
             logger.debug(
@@ -186,13 +203,16 @@ def _overload_log(
         try:
             response = self._log(**kwargs)
         except Exception as e:
-            logger.error(f"Failed to log: {e}")
+            error_message = str(e).replace("\n", " ")
+            sys.stderr.write(f"{RED}Failed to log: {error_message[:100]}...{RESET}\n")
             raise e
 
         # Notify the run_eval utility about one Log being created
         if log_belongs_to_evaluated_file(log_args=kwargs):
             evaluation_context = get_evaluation_context()
+            evaluation_context.logged = True
             evaluation_context.upload_callback(log_id=response.id)
+            set_evaluation_context(evaluation_context)
 
         return response
 
@@ -225,6 +245,7 @@ def run_eval(
     evaluators_worker_pool = ThreadPoolExecutor(max_workers=workers)
 
     file_ = _file_or_file_inside_hl_utility(file)
+    is_decorator = _callable_is_hl_utility(file_)
     type_ = _get_file_type(file_)
     function_ = _get_file_callable(file_, type_)
 
@@ -247,12 +268,25 @@ def run_eval(
         function=function_,
     )
 
-    # Header of the CLI Report
-    logger.info(f"\n{CYAN}Navigate to your Evaluation:{RESET}\n{evaluation.url}\n")
-    logger.info(f"{CYAN}{type_.capitalize()} Version ID: {hl_file.version_id}{RESET}")
-    logger.info(f"{CYAN}Run ID: {run.id}{RESET}")
+    def handle_exit_signal(signum, frame):
+        sys.stderr.write(
+            f"\n{RED}Received signal {signum}, cancelling Evaluation and shutting down threads...{RESET}\n"
+        )
+        client.evaluations.update_evaluation_run(
+            id=evaluation.id,
+            run_id=run.id,
+            status="cancelled",
+        )
+        evaluators_worker_pool.shutdown(wait=False)
+        sys.exit(signum)
 
-    _PROGRESS_BAR = _SimpleProgressBar(len(hl_dataset.datapoints))
+    signal.signal(signal.SIGINT, handle_exit_signal)
+    signal.signal(signal.SIGTERM, handle_exit_signal)
+
+    # Header of the CLI Report
+    sys.stdout.write(f"\n{CYAN}Navigate to your Evaluation:{RESET}\n{evaluation.url}\n\n")
+    sys.stdout.write(f"{CYAN}{type_.capitalize()} Version ID: {hl_file.version_id}{RESET}\n")
+    sys.stdout.write(f"{CYAN}Run ID: {run.id}{RESET}\n")
 
     # This will apply apply the local callable to each datapoint
     # and log the results to Humanloop
@@ -260,13 +294,17 @@ def run_eval(
     # Generate locally if a file `callable` is provided
     if function_ is None:
         # TODO: trigger run when updated API is available
-        logger.info(f"{CYAN}\nRunning '{hl_file.name}' over the Dataset '{hl_dataset.name}'{RESET}")
+        sys.stdout.write(f"{CYAN}\nRunning '{hl_file.name}' over the Dataset '{hl_dataset.name}'{RESET}\n")
     else:
         # Running the evaluation locally
-        logger.info(
-            f"{CYAN}\nRunning '{hl_file.name}' over the Dataset '{hl_dataset.name}' using {workers} workers{RESET} "
+        sys.stdout.write(
+            f"{CYAN}\nRunning '{hl_file.name}' over the Dataset '{hl_dataset.name}' using {workers} workers...{RESET}\n\n"
         )
 
+    _PROGRESS_BAR = _SimpleProgressBar(len(hl_dataset.datapoints))
+
+    if function_ is not None:
+        # Generate locally if a file `callable` is provided
         def _process_datapoint(dp: Datapoint):
             def upload_callback(log_id: str):
                 """Logic ran after the Log has been created."""
@@ -288,6 +326,7 @@ def upload_callback(log_id: str):
                     file_id=hl_file.id,
                     run_id=run.id,
                     path=hl_file.path,
+                    logged=False,
                 )
             )
 
@@ -301,13 +340,17 @@ def upload_callback(log_id: str):
             start_time = datetime.now()
             try:
                 output = _call_function(function_, hl_file.type, dp)
-                if not _callable_is_hl_utility(file):
-                    # function_ is a plain callable so we need to create a Log
+                evaluation_context = get_evaluation_context()
+                if not evaluation_context.logged and not is_decorator:
+                    # function_ did not Log against the source_datapoint_id/ run_id pair
+                    # so we need to create a Log
                     log_func(
                         inputs=dp.inputs,
                         output=output,
                         start_time=start_time,
                         end_time=datetime.now(),
+                        source_datapoint_id=dp.id,
+                        run_id=run.id,
                     )
             except Exception as e:
                 log_func(
@@ -318,8 +361,9 @@ def upload_callback(log_id: str):
                     start_time=start_time,
                     end_time=datetime.now(),
                 )
-                logger.warning(
-                    msg=f"\nYour {hl_file.type}'s `callable` failed for Datapoint: {dp.id}. \n Error: {str(e)}"
+                error_message = str(e).replace("\n", " ")
+                sys.stderr.write(
+                    f"\n{RED}Your {hl_file.type}'s `callable` failed for Datapoint: {dp.id}. Error: {error_message[:100]}...{RESET}\n"
                 )
 
         with ThreadPoolExecutor(max_workers=workers) as executor:
@@ -331,18 +375,20 @@ def upload_callback(log_id: str):
         evaluation=evaluation,
         run=run,
     )
-    logger.info(f"\n{CYAN}View your Evaluation:{RESET}\n{evaluation.url}\n")
+    sys.stderr.write(f"\n{CYAN}View your Evaluation:{RESET}\n{evaluation.url}\n")
 
     # Print Evaluation results
-    logger.info(stats.report)
+    sys.stderr.write(stats.report)
 
-    return _get_checks(
+    checks = _get_checks(
         client=client,
         evaluation=evaluation,
         stats=stats,
         evaluators=evaluators,
         run=run,
     )
+    evaluators_worker_pool.shutdown(wait=False)
+    return checks
 
 
 class _SimpleProgressBar:
@@ -360,6 +406,8 @@ def __init__(self, total: int):
     def increment(self):
         """Increment the progress bar by one finished task."""
         with self._lock:
+            if self._progress == self._total:
+                return
             self._progress += 1
             if self._start_time is None:
                 self._start_time = time.time()
@@ -385,9 +433,6 @@ def increment(self):
             sys.stderr.write("\033[K")  # Clear the line from the cursor to the end
             sys.stderr.write(progress_display)
 
-            if self._progress >= self._total:
-                sys.stderr.write("\n")
-
 
 @dataclass
 class _LocalEvaluator:
@@ -407,15 +452,23 @@ def _wait_for_evaluation_to_complete(
 ):
     # Wait for the Evaluation to complete then print the results
     complete = False
+
+    waiting_for_local_evals_message_printed = False
+
     while not complete:
         stats = client.evaluations.get_stats(id=evaluation.id)
-        logger.info(f"\r{stats.progress}")
         run_stats = next(
             (run_stats for run_stats in stats.run_stats if run_stats.run_id == run.id),
             None,
         )
         complete = run_stats is not None and run_stats.status == "completed"
         if not complete:
+            if not waiting_for_local_evals_message_printed:
+                sys.stderr.write("\n\nWaiting for Evaluators on Humanloop runtime...\n")
+                waiting_for_local_evals_message_printed = True
+            sys.stderr.write(stats.progress)
+            # Move the cursor up in stderr a number of lines equal to the number of lines in stats.progress
+            sys.stderr.write("\033[A" * (stats.progress.count("\n")))
             time.sleep(5)
     return stats
 
@@ -489,7 +542,7 @@ def _file_or_file_inside_hl_utility(file: File) -> File:
         # or more information than the `file` argument
         file_ = copy.deepcopy(inner_file)
     else:
-        file_ = file
+        file_ = copy.deepcopy(file)
 
     # Raise error if one of path or id not provided
     if not file_.get("path") and not file_.get("id"):
@@ -502,13 +555,14 @@ def _get_file_type(file: File) -> FileType:
     # Determine the `type` of the `file` to Evaluate - if not `type` provided, default to `flow`
     try:
         type_ = typing.cast(FileType, file.pop("type"))
-        logger.info(
-            f"{CYAN}Evaluating your {type_} function corresponding to `{file.get('path') or file.get('id')}` on Humanloop{RESET} \n\n"
+        sys.stdout.write(
+            f"{CYAN}Evaluating your {type_} function corresponding to `{file.get('path') or file.get('id')}` on Humanloop{RESET}\n\n"
         )
         return type_ or "flow"
     except KeyError as _:
         type_ = "flow"
-        logger.warning("No `file` type specified, defaulting to flow.")
+        sys.stdout.write(f"{CYAN}No `file` type specified, defaulting to flow.{RESET}\n")
+        return type_
 
 
 def _get_file_callable(file: File, type_: FileType) -> Optional[Callable]:
@@ -518,7 +572,9 @@ def _get_file_callable(file: File, type_: FileType) -> Optional[Callable]:
         if type_ == "flow":
             raise ValueError("You must provide a `callable` for your Flow `file` to run a local eval.")
         else:
-            logger.info(f"No `callable` provided for your {type_} file - will attempt to generate logs on Humanloop.")
+            sys.stdout.write(
+                f"No `callable` provided for your {type_} file - will attempt to generate logs on Humanloop.\n"
+            )
     return function_
 
 
@@ -542,7 +598,7 @@ def _upsert_file(
         try:
             Prompt.model_validate(version)
         except ValidationError as error_:
-            logger.error(msg="Invalid Prompt `version` in your `file` request. \n\nValidation error: \n)")
+            sys.stdout.write(f"Invalid Prompt `version` in your `file` request. \n\nValidation error: \n{error_}")
             raise error_
         try:
             hl_file = client.prompts.upsert(**file_dict)
@@ -553,7 +609,7 @@ def _upsert_file(
         try:
             Tool.model_validate(version)
         except ValidationError as error_:
-            logger.error(msg="Invalid Tool `version` in your `file` request. \n\nValidation error: \n)")
+            sys.stdout.write(f"Invalid Tool `version` in your `file` request. \n\nValidation error: \n{error_}")
             raise error_
         hl_file = client.tools.upsert(**file_dict)
 
@@ -777,12 +833,12 @@ def _check_evaluation_threshold(
         evaluator_stat = evaluator_stats_by_path[evaluator_path]
         score = _get_score_from_evaluator_stat(stat=evaluator_stat)
         if score >= threshold:
-            logger.info(
+            sys.stderr.write(
                 f"{GREEN}✅ Latest eval [{score}] above threshold [{threshold}] for evaluator {evaluator_path}.{RESET}"
             )
             return True
         else:
-            logger.info(
+            sys.stderr.write(
                 f"{RED}❌ Latest score [{score}] below the threshold [{threshold}] for evaluator {evaluator_path}.{RESET}"
             )
             return False
@@ -811,7 +867,7 @@ def _check_evaluation_improvement(
         evaluation=evaluation,
     )
     if len(stats.run_stats) == 1:
-        logger.info(f"{YELLOW}⚠️ No previous versions to compare with.{RESET}")
+        sys.stderr.write(f"{YELLOW}⚠️ No previous versions to compare with.{RESET}\n")
         return True, 0, 0
 
     previous_evaluator_stats_by_path = _get_evaluator_stats_by_path(
@@ -827,10 +883,10 @@ def _check_evaluation_improvement(
             raise ValueError(f"Could not find score for Evaluator {evaluator_path}.")
         diff = round(latest_score - previous_score, 2)
         if diff >= 0:
-            logger.info(f"{CYAN}Change of [{diff}] for Evaluator {evaluator_path}{RESET}")
+            sys.stderr.write(f"{CYAN}Change of [{diff}] for Evaluator {evaluator_path}{RESET}\n")
             return True, latest_score, diff
         else:
-            logger.info(f"{CYAN}Change of [{diff}] for Evaluator {evaluator_path}{RESET}")
+            sys.stderr.write(f"{CYAN}Change of [{diff}] for Evaluator {evaluator_path}{RESET}\n")
             return False, latest_score, diff
     else:
         raise ValueError(f"Evaluator {evaluator_path} not found in the stats.")
@@ -845,46 +901,66 @@ def _run_local_evaluators(
     progress_bar: _SimpleProgressBar,
 ):
     """Run local Evaluators on the Log and send the judgments to Humanloop."""
-    # Need to get the full log to pass to the evaluators
-    log = client.logs.get(id=log_id)
-    if not isinstance(log, dict):
-        log_dict = log.dict()
-    else:
-        log_dict = log
-    # Wait for the Flow trace to complete before running evaluators
-    while file_type == "flow" and log_dict["trace_status"] != "complete":
+    # If there are no local evaluators, we don't need to do the log lookup.
+    if len(local_evaluators) == 0:
+        progress_bar.increment()
+        return
+
+    try:
+        # Need to get the full log to pass to the evaluators
         log = client.logs.get(id=log_id)
         if not isinstance(log, dict):
             log_dict = log.dict()
         else:
             log_dict = log
-    datapoint_dict = datapoint.dict() if datapoint else None
-    for local_evaluator, eval_function in local_evaluators:
-        start_time = datetime.now()
-        try:
-            if local_evaluator.spec.arguments_type == "target_required":
-                judgement = eval_function(
-                    log_dict,
-                    datapoint_dict,
-                )
+
+        # Wait for the Flow trace to complete before running evaluators
+        while file_type == "flow" and log_dict["trace_status"] != "complete":
+            log = client.logs.get(id=log_id)
+            if not isinstance(log, dict):
+                log_dict = log.dict()
             else:
-                judgement = eval_function(log_dict)
-
-            _ = client.evaluators.log(
-                version_id=local_evaluator.version_id,
-                parent_id=log_id,
-                judgment=judgement,
-                id=local_evaluator.id,
-                start_time=start_time,
-                end_time=datetime.now(),
-            )
-        except Exception as e:
-            _ = client.evaluators.log(
-                parent_id=log_id,
-                id=local_evaluator.id,
-                error=str(e),
-                start_time=start_time,
-                end_time=datetime.now(),
-            )
-            logger.warning(f"\nEvaluator {local_evaluator.path} failed with error {str(e)}")
-    progress_bar.increment()
+                log_dict = log
+        datapoint_dict = datapoint.dict() if datapoint else None
+
+        for local_evaluator_tuple in local_evaluators:
+            eval_function = local_evaluator_tuple.function
+            local_evaluator = local_evaluator_tuple.hl_evaluator
+            start_time = datetime.now()
+            try:
+                if local_evaluator.spec.arguments_type == "target_required":
+                    judgement = eval_function(
+                        log_dict,
+                        datapoint_dict,
+                    )
+                else:
+                    judgement = eval_function(log_dict)
+
+                _ = client.evaluators.log(
+                    version_id=local_evaluator.version_id,
+                    parent_id=log_id,
+                    judgment=judgement,
+                    id=local_evaluator.id,
+                    start_time=start_time,
+                    end_time=datetime.now(),
+                )
+            except Exception as e:
+                _ = client.evaluators.log(
+                    parent_id=log_id,
+                    id=local_evaluator.id,
+                    error=str(e),
+                    start_time=start_time,
+                    end_time=datetime.now(),
+                )
+                error_message = str(e).replace("\n", " ")
+                sys.stderr.write(
+                    f"{RED}Evaluator {local_evaluator.path} failed with error {error_message[:100]}...{RESET}\n"
+                )
+    except Exception as e:
+        error_message = str(e).replace("\n", " ")
+        sys.stderr.write(
+            f"{RED}Failed to run local Evaluators for source datapoint {datapoint.dict()['id'] if datapoint else None}: {error_message[:100]}...{RESET}\n"
+        )
+        pass
+    finally:
+        progress_bar.increment()
diff --git a/src/humanloop/otel/exporter.py b/src/humanloop/otel/exporter.py
index 00ec52e3..4f9abfd0 100644
--- a/src/humanloop/otel/exporter.py
+++ b/src/humanloop/otel/exporter.py
@@ -116,13 +116,13 @@ def export(self, spans: Sequence[ReadableSpan]) -> SpanExportResult:
     def shutdown(self) -> None:
         self._shutdown = True
         for thread in self._threads:
-            thread.join()
+            thread.join(timeout=5)
             logger.debug("[HumanloopSpanExporter] Exporter Thread %s joined", thread.ident)
 
-    def force_flush(self, timeout_millis: int = 10000) -> bool:
+    def force_flush(self, timeout_millis: int = 5000) -> bool:
         self._shutdown = True
         for thread in self._threads:
-            thread.join(timeout=timeout_millis)
+            thread.join(timeout=timeout_millis / 1000)
         self._upload_queue.join()
 
         return True
diff --git a/src/humanloop/otel/processor/prompts.py b/src/humanloop/otel/processor/prompts.py
index c56882a8..2606427c 100644
--- a/src/humanloop/otel/processor/prompts.py
+++ b/src/humanloop/otel/processor/prompts.py
@@ -1,4 +1,4 @@
-import deepdiff
+import deepdiff  # type: ignore [import]
 import logging
 from typing import Any
 import typing
diff --git a/src/humanloop/prompts/client.py b/src/humanloop/prompts/client.py
index fb1006c2..8cd1bc34 100644
--- a/src/humanloop/prompts/client.py
+++ b/src/humanloop/prompts/client.py
@@ -31,9 +31,11 @@
 from ..types.paginated_data_prompt_response import PaginatedDataPromptResponse
 from ..types.model_endpoints import ModelEndpoints
 from .requests.prompt_request_template import PromptRequestTemplateParams
+from ..types.template_language import TemplateLanguage
 from ..types.model_providers import ModelProviders
 from .requests.prompt_request_stop import PromptRequestStopParams
 from ..requests.response_format import ResponseFormatParams
+from ..types.reasoning_effort import ReasoningEffort
 from ..requests.tool_function import ToolFunctionParams
 from ..types.version_status import VersionStatus
 from ..types.list_prompts import ListPrompts
@@ -65,6 +67,7 @@ def log(
         id: typing.Optional[str] = OMIT,
         output_message: typing.Optional[ChatMessageParams] = OMIT,
         prompt_tokens: typing.Optional[int] = OMIT,
+        reasoning_tokens: typing.Optional[int] = OMIT,
         output_tokens: typing.Optional[int] = OMIT,
         prompt_cost: typing.Optional[float] = OMIT,
         output_cost: typing.Optional[float] = OMIT,
@@ -126,6 +129,9 @@ def log(
         prompt_tokens : typing.Optional[int]
             Number of tokens in the prompt used to generate the output.
 
+        reasoning_tokens : typing.Optional[int]
+            Number of reasoning tokens used to generate the output.
+
         output_tokens : typing.Optional[int]
             Number of tokens in the output generated by the model.
 
@@ -236,7 +242,7 @@ def log(
             messages=[{"role": "user", "content": "What really happened at Roswell?"}],
             inputs={"person": "Trump"},
             created_at=datetime.datetime.fromisoformat(
-                "2024-07-19 00:29:35.178000+00:00",
+                "2024-07-18 23:29:35.178000+00:00",
             ),
             provider_latency=6.5931549072265625,
             output_message={
@@ -265,6 +271,7 @@ def log(
                     object_=output_message, annotation=ChatMessageParams, direction="write"
                 ),
                 "prompt_tokens": prompt_tokens,
+                "reasoning_tokens": reasoning_tokens,
                 "output_tokens": output_tokens,
                 "prompt_cost": prompt_cost,
                 "output_cost": output_cost,
@@ -334,6 +341,7 @@ def update_log(
         *,
         output_message: typing.Optional[ChatMessageParams] = OMIT,
         prompt_tokens: typing.Optional[int] = OMIT,
+        reasoning_tokens: typing.Optional[int] = OMIT,
         output_tokens: typing.Optional[int] = OMIT,
         prompt_cost: typing.Optional[float] = OMIT,
         output_cost: typing.Optional[float] = OMIT,
@@ -373,6 +381,9 @@ def update_log(
         prompt_tokens : typing.Optional[int]
             Number of tokens in the prompt used to generate the output.
 
+        reasoning_tokens : typing.Optional[int]
+            Number of reasoning tokens used to generate the output.
+
         output_tokens : typing.Optional[int]
             Number of tokens in the output generated by the model.
 
@@ -459,6 +470,7 @@ def update_log(
                     object_=output_message, annotation=ChatMessageParams, direction="write"
                 ),
                 "prompt_tokens": prompt_tokens,
+                "reasoning_tokens": reasoning_tokens,
                 "output_tokens": output_tokens,
                 "prompt_cost": prompt_cost,
                 "output_cost": output_cost,
@@ -1072,6 +1084,7 @@ def upsert(
         id: typing.Optional[str] = OMIT,
         endpoint: typing.Optional[ModelEndpoints] = OMIT,
         template: typing.Optional[PromptRequestTemplateParams] = OMIT,
+        template_language: typing.Optional[TemplateLanguage] = OMIT,
         provider: typing.Optional[ModelProviders] = OMIT,
         max_tokens: typing.Optional[int] = OMIT,
         temperature: typing.Optional[float] = OMIT,
@@ -1082,6 +1095,7 @@ def upsert(
         other: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
         seed: typing.Optional[int] = OMIT,
         response_format: typing.Optional[ResponseFormatParams] = OMIT,
+        reasoning_effort: typing.Optional[ReasoningEffort] = OMIT,
         tools: typing.Optional[typing.Sequence[ToolFunctionParams]] = OMIT,
         linked_tools: typing.Optional[typing.Sequence[str]] = OMIT,
         attributes: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
@@ -1122,6 +1136,9 @@ def upsert(
 
             Input variables should be specified with double curly bracket syntax: `{{input_name}}`.
 
+        template_language : typing.Optional[TemplateLanguage]
+            The template language to use for rendering the template.
+
         provider : typing.Optional[ModelProviders]
             The company providing the underlying model service.
 
@@ -1152,6 +1169,9 @@ def upsert(
         response_format : typing.Optional[ResponseFormatParams]
             The format of the response. Only `{"type": "json_object"}` is currently supported for chat.
 
+        reasoning_effort : typing.Optional[ReasoningEffort]
+            Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models.
+
         tools : typing.Optional[typing.Sequence[ToolFunctionParams]]
             The tool specification that the model can choose to call if Tool calling is supported.
 
@@ -1215,6 +1235,7 @@ def upsert(
                 "template": convert_and_respect_annotation_metadata(
                     object_=template, annotation=PromptRequestTemplateParams, direction="write"
                 ),
+                "template_language": template_language,
                 "provider": provider,
                 "max_tokens": max_tokens,
                 "temperature": temperature,
@@ -1229,6 +1250,7 @@ def upsert(
                 "response_format": convert_and_respect_annotation_metadata(
                     object_=response_format, annotation=ResponseFormatParams, direction="write"
                 ),
+                "reasoning_effort": reasoning_effort,
                 "tools": convert_and_respect_annotation_metadata(
                     object_=tools, annotation=typing.Sequence[ToolFunctionParams], direction="write"
                 ),
@@ -1475,6 +1497,89 @@ def move(
             raise ApiError(status_code=_response.status_code, body=_response.text)
         raise ApiError(status_code=_response.status_code, body=_response_json)
 
+    def populate_template(
+        self,
+        id: str,
+        *,
+        request: typing.Dict[str, typing.Optional[typing.Any]],
+        version_id: typing.Optional[str] = None,
+        environment: typing.Optional[str] = None,
+        request_options: typing.Optional[RequestOptions] = None,
+    ) -> PromptResponse:
+        """
+        Retrieve the Prompt with the given ID, including the populated template.
+
+        By default, the deployed version of the Prompt is returned. Use the query parameters
+        `version_id` or `environment` to target a specific version of the Prompt.
+
+        Parameters
+        ----------
+        id : str
+            Unique identifier for Prompt.
+
+        request : typing.Dict[str, typing.Optional[typing.Any]]
+
+        version_id : typing.Optional[str]
+            A specific Version ID of the Prompt to retrieve to populate the template.
+
+        environment : typing.Optional[str]
+            Name of the Environment to retrieve a deployed Version from to populate the template.
+
+        request_options : typing.Optional[RequestOptions]
+            Request-specific configuration.
+
+        Returns
+        -------
+        PromptResponse
+            Successful Response
+
+        Examples
+        --------
+        from humanloop import Humanloop
+
+        client = Humanloop(
+            api_key="YOUR_API_KEY",
+        )
+        client.prompts.populate_template(
+            id="id",
+            request={"key": "value"},
+        )
+        """
+        _response = self._client_wrapper.httpx_client.request(
+            f"prompts/{jsonable_encoder(id)}/populate",
+            method="POST",
+            params={
+                "version_id": version_id,
+                "environment": environment,
+            },
+            json=request,
+            request_options=request_options,
+            omit=OMIT,
+        )
+        try:
+            if 200 <= _response.status_code < 300:
+                return typing.cast(
+                    PromptResponse,
+                    construct_type(
+                        type_=PromptResponse,  # type: ignore
+                        object_=_response.json(),
+                    ),
+                )
+            if _response.status_code == 422:
+                raise UnprocessableEntityError(
+                    typing.cast(
+                        HttpValidationError,
+                        construct_type(
+                            type_=HttpValidationError,  # type: ignore
+                            object_=_response.json(),
+                        ),
+                    )
+                )
+            _response_json = _response.json()
+        except JSONDecodeError:
+            raise ApiError(status_code=_response.status_code, body=_response.text)
+        raise ApiError(status_code=_response.status_code, body=_response_json)
+
     def list_versions(
         self,
         id: str,
@@ -1971,6 +2076,7 @@ async def log(
         id: typing.Optional[str] = OMIT,
         output_message: typing.Optional[ChatMessageParams] = OMIT,
         prompt_tokens: typing.Optional[int] = OMIT,
+        reasoning_tokens: typing.Optional[int] = OMIT,
         output_tokens: typing.Optional[int] = OMIT,
         prompt_cost: typing.Optional[float] = OMIT,
         output_cost: typing.Optional[float] = OMIT,
@@ -2032,6 +2138,9 @@ async def log(
         prompt_tokens : typing.Optional[int]
             Number of tokens in the prompt used to generate the output.
 
+        reasoning_tokens : typing.Optional[int]
+            Number of reasoning tokens used to generate the output.
+
         output_tokens : typing.Optional[int]
             Number of tokens in the output generated by the model.
 
@@ -2148,7 +2257,7 @@ async def main() -> None:
                 ],
                 inputs={"person": "Trump"},
                 created_at=datetime.datetime.fromisoformat(
-                    "2024-07-19 00:29:35.178000+00:00",
+                    "2024-07-18 23:29:35.178000+00:00",
                 ),
                 provider_latency=6.5931549072265625,
                 output_message={
@@ -2180,6 +2289,7 @@ async def main() -> None:
                     object_=output_message, annotation=ChatMessageParams, direction="write"
                 ),
                 "prompt_tokens": prompt_tokens,
+                "reasoning_tokens": reasoning_tokens,
                 "output_tokens": output_tokens,
                 "prompt_cost": prompt_cost,
                 "output_cost": output_cost,
@@ -2249,6 +2359,7 @@ async def update_log(
         *,
         output_message: typing.Optional[ChatMessageParams] = OMIT,
         prompt_tokens: typing.Optional[int] = OMIT,
+        reasoning_tokens: typing.Optional[int] = OMIT,
         output_tokens: typing.Optional[int] = OMIT,
         prompt_cost: typing.Optional[float] = OMIT,
         output_cost: typing.Optional[float] = OMIT,
@@ -2288,6 +2399,9 @@ async def update_log(
         prompt_tokens : typing.Optional[int]
             Number of tokens in the prompt used to generate the output.
 
+        reasoning_tokens : typing.Optional[int]
+            Number of reasoning tokens used to generate the output.
+
         output_tokens : typing.Optional[int]
             Number of tokens in the output generated by the model.
 
@@ -2382,6 +2496,7 @@ async def main() -> None:
                     object_=output_message, annotation=ChatMessageParams, direction="write"
                 ),
                 "prompt_tokens": prompt_tokens,
+                "reasoning_tokens": reasoning_tokens,
                 "output_tokens": output_tokens,
                 "prompt_cost": prompt_cost,
                 "output_cost": output_cost,
@@ -3019,6 +3134,7 @@ async def upsert(
         id: typing.Optional[str] = OMIT,
         endpoint: typing.Optional[ModelEndpoints] = OMIT,
         template: typing.Optional[PromptRequestTemplateParams] = OMIT,
+        template_language: typing.Optional[TemplateLanguage] = OMIT,
         provider: typing.Optional[ModelProviders] = OMIT,
         max_tokens: typing.Optional[int] = OMIT,
         temperature: typing.Optional[float] = OMIT,
@@ -3029,6 +3145,7 @@ async def upsert(
         other: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
         seed: typing.Optional[int] = OMIT,
         response_format: typing.Optional[ResponseFormatParams] = OMIT,
+        reasoning_effort: typing.Optional[ReasoningEffort] = OMIT,
         tools: typing.Optional[typing.Sequence[ToolFunctionParams]] = OMIT,
         linked_tools: typing.Optional[typing.Sequence[str]] = OMIT,
         attributes: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = OMIT,
@@ -3069,6 +3186,9 @@ async def upsert(
 
             Input variables should be specified with double curly bracket syntax: `{{input_name}}`.
 
+        template_language : typing.Optional[TemplateLanguage]
+            The template language to use for rendering the template.
+
         provider : typing.Optional[ModelProviders]
             The company providing the underlying model service.
 
@@ -3099,6 +3219,9 @@ async def upsert(
         response_format : typing.Optional[ResponseFormatParams]
             The format of the response. Only `{"type": "json_object"}` is currently supported for chat.
 
+        reasoning_effort : typing.Optional[ReasoningEffort]
+            Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models.
+
         tools : typing.Optional[typing.Sequence[ToolFunctionParams]]
             The tool specification that the model can choose to call if Tool calling is supported.
 
@@ -3170,6 +3293,7 @@ async def main() -> None:
                 "template": convert_and_respect_annotation_metadata(
                     object_=template, annotation=PromptRequestTemplateParams, direction="write"
                 ),
+                "template_language": template_language,
                 "provider": provider,
                 "max_tokens": max_tokens,
                 "temperature": temperature,
@@ -3184,6 +3308,7 @@ async def main() -> None:
                 "response_format": convert_and_respect_annotation_metadata(
                     object_=response_format, annotation=ResponseFormatParams, direction="write"
                 ),
+                "reasoning_effort": reasoning_effort,
                 "tools": convert_and_respect_annotation_metadata(
                     object_=tools, annotation=typing.Sequence[ToolFunctionParams], direction="write"
                 ),
@@ -3454,6 +3579,97 @@ async def main() -> None:
             raise ApiError(status_code=_response.status_code, body=_response.text)
         raise ApiError(status_code=_response.status_code, body=_response_json)
 
+    async def populate_template(
+        self,
+        id: str,
+        *,
+        request: typing.Dict[str, typing.Optional[typing.Any]],
+        version_id: typing.Optional[str] = None,
+        environment: typing.Optional[str] = None,
+        request_options: typing.Optional[RequestOptions] = None,
+    ) -> PromptResponse:
+        """
+        Retrieve the Prompt with the given ID, including the populated template.
+
+        By default, the deployed version of the Prompt is returned. Use the query parameters
+        `version_id` or `environment` to target a specific version of the Prompt.
+
+        Parameters
+        ----------
+        id : str
+            Unique identifier for Prompt.
+
+        request : typing.Dict[str, typing.Optional[typing.Any]]
+
+        version_id : typing.Optional[str]
+            A specific Version ID of the Prompt to retrieve to populate the template.
+
+        environment : typing.Optional[str]
+            Name of the Environment to retrieve a deployed Version from to populate the template.
+
+        request_options : typing.Optional[RequestOptions]
+            Request-specific configuration.
+
+        Returns
+        -------
+        PromptResponse
+            Successful Response
+
+        Examples
+        --------
+        import asyncio
+
+        from humanloop import AsyncHumanloop
+
+        client = AsyncHumanloop(
+            api_key="YOUR_API_KEY",
+        )
+
+
+        async def main() -> None:
+            await client.prompts.populate_template(
+                id="id",
+                request={"key": "value"},
+            )
+
+
+        asyncio.run(main())
+        """
+        _response = await self._client_wrapper.httpx_client.request(
+            f"prompts/{jsonable_encoder(id)}/populate",
+            method="POST",
+            params={
+                "version_id": version_id,
+                "environment": environment,
+            },
+            json=request,
+            request_options=request_options,
+            omit=OMIT,
+        )
+        try:
+            if 200 <= _response.status_code < 300:
+                return typing.cast(
+                    PromptResponse,
+                    construct_type(
+                        type_=PromptResponse,  # type: ignore
+                        object_=_response.json(),
+                    ),
+                )
+            if _response.status_code == 422:
+                raise UnprocessableEntityError(
+                    typing.cast(
+                        HttpValidationError,
+                        construct_type(
+                            type_=HttpValidationError,  # type: ignore
+                            object_=_response.json(),
+                        ),
+                    )
+                )
+            _response_json = _response.json()
+        except JSONDecodeError:
+            raise ApiError(status_code=_response.status_code, body=_response.text)
+        raise ApiError(status_code=_response.status_code, body=_response_json)
+
     async def list_versions(
         self,
         id: str,
diff --git a/src/humanloop/requests/numeric_evaluator_stats_response.py b/src/humanloop/requests/numeric_evaluator_stats_response.py
index 4edbda84..12ac73c9 100644
--- a/src/humanloop/requests/numeric_evaluator_stats_response.py
+++ b/src/humanloop/requests/numeric_evaluator_stats_response.py
@@ -37,5 +37,6 @@ class NumericEvaluatorStatsResponseParams(typing_extensions.TypedDict):
     """
 
     mean: typing_extensions.NotRequired[float]
+    sum: typing_extensions.NotRequired[float]
     std: typing_extensions.NotRequired[float]
     percentiles: typing.Dict[str, float]
diff --git a/src/humanloop/requests/prompt_call_log_response.py b/src/humanloop/requests/prompt_call_log_response.py
index f8fd4123..497ab23e 100644
--- a/src/humanloop/requests/prompt_call_log_response.py
+++ b/src/humanloop/requests/prompt_call_log_response.py
@@ -46,6 +46,11 @@ class PromptCallLogResponseParams(typing_extensions.TypedDict):
     Number of tokens in the prompt used to generate the output.
     """
 
+    reasoning_tokens: typing_extensions.NotRequired[int]
+    """
+    Number of reasoning tokens used to generate the output.
+    """
+
     output_tokens: typing_extensions.NotRequired[int]
     """
     Number of tokens in the output generated by the model.
diff --git a/src/humanloop/requests/prompt_call_stream_response.py b/src/humanloop/requests/prompt_call_stream_response.py
index b5b5e4ee..92ae613d 100644
--- a/src/humanloop/requests/prompt_call_stream_response.py
+++ b/src/humanloop/requests/prompt_call_stream_response.py
@@ -46,6 +46,11 @@ class PromptCallStreamResponseParams(typing_extensions.TypedDict):
     Number of tokens in the prompt used to generate the output.
     """
 
+    reasoning_tokens: typing_extensions.NotRequired[int]
+    """
+    Number of reasoning tokens used to generate the output.
+    """
+
     output_tokens: typing_extensions.NotRequired[int]
     """
     Number of tokens in the output generated by the model.
diff --git a/src/humanloop/requests/prompt_kernel_request.py b/src/humanloop/requests/prompt_kernel_request.py
index e16457f8..61355166 100644
--- a/src/humanloop/requests/prompt_kernel_request.py
+++ b/src/humanloop/requests/prompt_kernel_request.py
@@ -4,10 +4,12 @@
 import typing_extensions
 from ..types.model_endpoints import ModelEndpoints
 from .prompt_kernel_request_template import PromptKernelRequestTemplateParams
+from ..types.template_language import TemplateLanguage
 from ..types.model_providers import ModelProviders
 from .prompt_kernel_request_stop import PromptKernelRequestStopParams
 import typing
 from .response_format import ResponseFormatParams
+from ..types.reasoning_effort import ReasoningEffort
 from .tool_function import ToolFunctionParams
 
 
@@ -32,6 +34,11 @@ class PromptKernelRequestParams(typing_extensions.TypedDict):
     Input variables should be specified with double curly bracket syntax: `{{input_name}}`.
     """
 
+    template_language: typing_extensions.NotRequired[TemplateLanguage]
+    """
+    The template language to use for rendering the template.
+    """
+
     provider: typing_extensions.NotRequired[ModelProviders]
     """
     The company providing the underlying model service.
@@ -82,6 +89,11 @@ class PromptKernelRequestParams(typing_extensions.TypedDict):
     The format of the response. Only `{"type": "json_object"}` is currently supported for chat.
     """
 
+    reasoning_effort: typing_extensions.NotRequired[ReasoningEffort]
+    """
+    Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models.
+    """
+
     tools: typing_extensions.NotRequired[typing.Sequence[ToolFunctionParams]]
     """
     The tool specification that the model can choose to call if Tool calling is supported.
diff --git a/src/humanloop/requests/prompt_log_response.py b/src/humanloop/requests/prompt_log_response.py
index 6694157d..5c0c3fd8 100644
--- a/src/humanloop/requests/prompt_log_response.py
+++ b/src/humanloop/requests/prompt_log_response.py
@@ -30,6 +30,11 @@ class PromptLogResponseParams(typing_extensions.TypedDict):
     Number of tokens in the prompt used to generate the output.
     """
 
+    reasoning_tokens: typing_extensions.NotRequired[int]
+    """
+    Number of reasoning tokens used to generate the output.
+    """
+
     output_tokens: typing_extensions.NotRequired[int]
     """
     Number of tokens in the output generated by the model.
diff --git a/src/humanloop/requests/prompt_response.py b/src/humanloop/requests/prompt_response.py
index a5cdec8b..15c447b4 100644
--- a/src/humanloop/requests/prompt_response.py
+++ b/src/humanloop/requests/prompt_response.py
@@ -5,10 +5,12 @@
 import typing_extensions
 from ..types.model_endpoints import ModelEndpoints
 from .prompt_response_template import PromptResponseTemplateParams
+from ..types.template_language import TemplateLanguage
 from ..types.model_providers import ModelProviders
 from .prompt_response_stop import PromptResponseStopParams
 import typing
 from .response_format import ResponseFormatParams
+from ..types.reasoning_effort import ReasoningEffort
 from .tool_function import ToolFunctionParams
 from .linked_tool_response import LinkedToolResponseParams
 from .environment_response import EnvironmentResponseParams
@@ -66,6 +68,11 @@ class PromptResponseParams(typing_extensions.TypedDict):
     Input variables should be specified with double curly bracket syntax: `{{input_name}}`.
     """
 
+    template_language: typing_extensions.NotRequired[TemplateLanguage]
+    """
+    The template language to use for rendering the template.
+    """
+
     provider: typing_extensions.NotRequired[ModelProviders]
     """
     The company providing the underlying model service.
@@ -116,6 +123,11 @@ class PromptResponseParams(typing_extensions.TypedDict):
     The format of the response. Only `{"type": "json_object"}` is currently supported for chat.
     """
 
+    reasoning_effort: typing_extensions.NotRequired[ReasoningEffort]
+    """
+    Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models.
+    """
+
     tools: typing_extensions.NotRequired[typing.Sequence[ToolFunctionParams]]
     """
     The tool specification that the model can choose to call if Tool calling is supported.
diff --git a/src/humanloop/types/__init__.py b/src/humanloop/types/__init__.py
index df3f892b..054338e8 100644
--- a/src/humanloop/types/__init__.py
+++ b/src/humanloop/types/__init__.py
@@ -127,6 +127,7 @@
 from .prompt_response_stop import PromptResponseStop
 from .prompt_response_template import PromptResponseTemplate
 from .provider_api_keys import ProviderApiKeys
+from .reasoning_effort import ReasoningEffort
 from .response_format import ResponseFormat
 from .response_format_type import ResponseFormatType
 from .run_stats_response import RunStatsResponse
@@ -134,6 +135,7 @@
 from .run_version_response import RunVersionResponse
 from .select_evaluator_stats_response import SelectEvaluatorStatsResponse
 from .sort_order import SortOrder
+from .template_language import TemplateLanguage
 from .text_chat_content import TextChatContent
 from .text_evaluator_stats_response import TextEvaluatorStatsResponse
 from .time_unit import TimeUnit
@@ -282,6 +284,7 @@
     "PromptResponseStop",
     "PromptResponseTemplate",
     "ProviderApiKeys",
+    "ReasoningEffort",
     "ResponseFormat",
     "ResponseFormatType",
     "RunStatsResponse",
@@ -289,6 +292,7 @@
     "RunVersionResponse",
     "SelectEvaluatorStatsResponse",
     "SortOrder",
+    "TemplateLanguage",
     "TextChatContent",
     "TextEvaluatorStatsResponse",
     "TimeUnit",
diff --git a/src/humanloop/types/evaluator_response.py b/src/humanloop/types/evaluator_response.py
index 0743086c..6f3a190b 100644
--- a/src/humanloop/types/evaluator_response.py
+++ b/src/humanloop/types/evaluator_response.py
@@ -67,7 +67,9 @@ class EvaluatorResponse(UncheckedBaseModel):
     """
 
     type: typing.Optional[typing.Literal["evaluator"]] = None
-    environments: typing.Optional[typing.List[EnvironmentResponse]] = pydantic.Field(default=None)
+    environments: typing.Optional[typing.List[EnvironmentResponse]] = pydantic.Field(
+        default=None
+    )
     """
     The list of environments the Evaluator Version is deployed to.
     """
@@ -106,23 +108,31 @@ class EvaluatorResponse(UncheckedBaseModel):
     Inputs associated to the Evaluator. Inputs correspond to any of the variables used within the Evaluator template.
     """
 
-    evaluators: typing.Optional[typing.List["MonitoringEvaluatorResponse"]] = pydantic.Field(default=None)
+    evaluators: typing.Optional[typing.List["MonitoringEvaluatorResponse"]] = (
+        pydantic.Field(default=None)
+    )
     """
     Evaluators that have been attached to this Evaluator that are used for monitoring logs.
     """
 
-    evaluator_aggregates: typing.Optional[typing.List[EvaluatorAggregate]] = pydantic.Field(default=None)
+    evaluator_aggregates: typing.Optional[typing.List[EvaluatorAggregate]] = (
+        pydantic.Field(default=None)
+    )
     """
     Aggregation of Evaluator results for the Evaluator Version.
     """
 
-    attributes: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = pydantic.Field(default=None)
+    attributes: typing.Optional[typing.Dict[str, typing.Optional[typing.Any]]] = (
+        pydantic.Field(default=None)
+    )
     """
     Additional fields to describe the Evaluator. Helpful to separate Evaluator versions from each other with details on how they were created or used.
     """
 
     if IS_PYDANTIC_V2:
-        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(extra="allow", frozen=True)  # type: ignore # Pydantic v2
+        model_config: typing.ClassVar[pydantic.ConfigDict] = pydantic.ConfigDict(
+            extra="allow", frozen=True
+        )  # type: ignore # Pydantic v2
     else:
 
         class Config:
diff --git a/src/humanloop/types/numeric_evaluator_stats_response.py b/src/humanloop/types/numeric_evaluator_stats_response.py
index eec24ff5..1517d9cf 100644
--- a/src/humanloop/types/numeric_evaluator_stats_response.py
+++ b/src/humanloop/types/numeric_evaluator_stats_response.py
@@ -38,6 +38,7 @@ class NumericEvaluatorStatsResponse(UncheckedBaseModel):
     """
 
     mean: typing.Optional[float] = None
+    sum: typing.Optional[float] = None
     std: typing.Optional[float] = None
     percentiles: typing.Dict[str, float]
 
diff --git a/src/humanloop/types/prompt_call_log_response.py b/src/humanloop/types/prompt_call_log_response.py
index 90c13282..68b6ae1a 100644
--- a/src/humanloop/types/prompt_call_log_response.py
+++ b/src/humanloop/types/prompt_call_log_response.py
@@ -48,6 +48,11 @@ class PromptCallLogResponse(UncheckedBaseModel):
     Number of tokens in the prompt used to generate the output.
     """
 
+    reasoning_tokens: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Number of reasoning tokens used to generate the output.
+    """
+
     output_tokens: typing.Optional[int] = pydantic.Field(default=None)
     """
     Number of tokens in the output generated by the model.
diff --git a/src/humanloop/types/prompt_call_stream_response.py b/src/humanloop/types/prompt_call_stream_response.py
index 4a8c380e..4ffb09bf 100644
--- a/src/humanloop/types/prompt_call_stream_response.py
+++ b/src/humanloop/types/prompt_call_stream_response.py
@@ -48,6 +48,11 @@ class PromptCallStreamResponse(UncheckedBaseModel):
     Number of tokens in the prompt used to generate the output.
     """
 
+    reasoning_tokens: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Number of reasoning tokens used to generate the output.
+    """
+
     output_tokens: typing.Optional[int] = pydantic.Field(default=None)
     """
     Number of tokens in the output generated by the model.
diff --git a/src/humanloop/types/prompt_kernel_request.py b/src/humanloop/types/prompt_kernel_request.py
index 0893710f..6461bb19 100644
--- a/src/humanloop/types/prompt_kernel_request.py
+++ b/src/humanloop/types/prompt_kernel_request.py
@@ -5,9 +5,11 @@
 import typing
 from .model_endpoints import ModelEndpoints
 from .prompt_kernel_request_template import PromptKernelRequestTemplate
+from .template_language import TemplateLanguage
 from .model_providers import ModelProviders
 from .prompt_kernel_request_stop import PromptKernelRequestStop
 from .response_format import ResponseFormat
+from .reasoning_effort import ReasoningEffort
 from .tool_function import ToolFunction
 from ..core.pydantic_utilities import IS_PYDANTIC_V2
 
@@ -33,6 +35,11 @@ class PromptKernelRequest(UncheckedBaseModel):
     Input variables should be specified with double curly bracket syntax: `{{input_name}}`.
     """
 
+    template_language: typing.Optional[TemplateLanguage] = pydantic.Field(default=None)
+    """
+    The template language to use for rendering the template.
+    """
+
     provider: typing.Optional[ModelProviders] = pydantic.Field(default=None)
     """
     The company providing the underlying model service.
@@ -83,6 +90,11 @@ class PromptKernelRequest(UncheckedBaseModel):
     The format of the response. Only `{"type": "json_object"}` is currently supported for chat.
     """
 
+    reasoning_effort: typing.Optional[ReasoningEffort] = pydantic.Field(default=None)
+    """
+    Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models.
+    """
+
     tools: typing.Optional[typing.List[ToolFunction]] = pydantic.Field(default=None)
     """
     The tool specification that the model can choose to call if Tool calling is supported.
diff --git a/src/humanloop/types/prompt_log_response.py b/src/humanloop/types/prompt_log_response.py
index 70e88ae5..5635a507 100644
--- a/src/humanloop/types/prompt_log_response.py
+++ b/src/humanloop/types/prompt_log_response.py
@@ -33,6 +33,11 @@ class PromptLogResponse(UncheckedBaseModel):
     Number of tokens in the prompt used to generate the output.
     """
 
+    reasoning_tokens: typing.Optional[int] = pydantic.Field(default=None)
+    """
+    Number of reasoning tokens used to generate the output.
+    """
+
     output_tokens: typing.Optional[int] = pydantic.Field(default=None)
     """
     Number of tokens in the output generated by the model.
diff --git a/src/humanloop/types/prompt_response.py b/src/humanloop/types/prompt_response.py
index e8b39e5a..384a295a 100644
--- a/src/humanloop/types/prompt_response.py
+++ b/src/humanloop/types/prompt_response.py
@@ -6,9 +6,11 @@
 import typing
 from .model_endpoints import ModelEndpoints
 from .prompt_response_template import PromptResponseTemplate
+from .template_language import TemplateLanguage
 from .model_providers import ModelProviders
 from .prompt_response_stop import PromptResponseStop
 from .response_format import ResponseFormat
+from .reasoning_effort import ReasoningEffort
 from .tool_function import ToolFunction
 from .linked_tool_response import LinkedToolResponse
 from .environment_response import EnvironmentResponse
@@ -64,6 +66,11 @@ class PromptResponse(UncheckedBaseModel):
     Input variables should be specified with double curly bracket syntax: `{{input_name}}`.
     """
 
+    template_language: typing.Optional[TemplateLanguage] = pydantic.Field(default=None)
+    """
+    The template language to use for rendering the template.
+    """
+
     provider: typing.Optional[ModelProviders] = pydantic.Field(default=None)
     """
     The company providing the underlying model service.
@@ -114,6 +121,11 @@ class PromptResponse(UncheckedBaseModel):
     The format of the response. Only `{"type": "json_object"}` is currently supported for chat.
     """
 
+    reasoning_effort: typing.Optional[ReasoningEffort] = pydantic.Field(default=None)
+    """
+    Give model guidance on how many reasoning tokens it should generate before creating a response to the prompt. This is only supported for OpenAI reasoning (o1, o3-mini) models.
+    """
+
     tools: typing.Optional[typing.List[ToolFunction]] = pydantic.Field(default=None)
     """
     The tool specification that the model can choose to call if Tool calling is supported.
diff --git a/src/humanloop/types/reasoning_effort.py b/src/humanloop/types/reasoning_effort.py
new file mode 100644
index 00000000..da0a0354
--- /dev/null
+++ b/src/humanloop/types/reasoning_effort.py
@@ -0,0 +1,5 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+ReasoningEffort = typing.Union[typing.Literal["high", "medium", "low"], typing.Any]
diff --git a/src/humanloop/types/template_language.py b/src/humanloop/types/template_language.py
new file mode 100644
index 00000000..4b464b79
--- /dev/null
+++ b/src/humanloop/types/template_language.py
@@ -0,0 +1,5 @@
+# This file was auto-generated by Fern from our API Definition.
+
+import typing
+
+TemplateLanguage = typing.Union[typing.Literal["default", "jinja"], typing.Any]
diff --git a/src/humanloop/utilities/flow.py b/src/humanloop/utilities/flow.py
index 9fedfe6c..70affd52 100644
--- a/src/humanloop/utilities/flow.py
+++ b/src/humanloop/utilities/flow.py
@@ -57,10 +57,7 @@ def wrapper(*args: Sequence[Any], **kwargs: Mapping[str, Any]) -> Any:
                 except Exception as e:
                     logger.error(f"Error calling {func.__name__}: {e}")
                     output = None
-                    output_stringified = jsonify_if_not_string(
-                        func=func,
-                        output=None,
-                    )
+                    output_stringified = None
                     error = str(e)
 
                 flow_log = {