diff --git a/poetry.lock b/poetry.lock
index df3d0c0c..7afc0691 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -171,13 +171,13 @@ vertex = ["google-auth (>=2,<3)"]
 
 [[package]]
 name = "anyio"
-version = "4.7.0"
+version = "4.8.0"
 description = "High level compatibility layer for multiple asynchronous event loop implementations"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "anyio-4.7.0-py3-none-any.whl", hash = "sha256:ea60c3723ab42ba6fff7e8ccb0488c898ec538ff4df1f1d5e642c3601d07e352"},
-    {file = "anyio-4.7.0.tar.gz", hash = "sha256:2f834749c602966b7d456a7567cafcb309f96482b5081d14ac93ccd457f9dd48"},
+    {file = "anyio-4.8.0-py3-none-any.whl", hash = "sha256:b5011f270ab5eb0abf13385f851315585cc37ef330dd88e27ec3d34d651fd47a"},
+    {file = "anyio-4.8.0.tar.gz", hash = "sha256:1d9fe889df5212298c0c0723fa20479d1b94883a2df44bd3897aa91083316f7a"},
 ]
 
 [package.dependencies]
@@ -188,7 +188,7 @@ 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)", "pytest-mock (>=3.6.1)", "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)", "uvloop (>=0.21)"]
 trio = ["trio (>=0.26.1)"]
 
 [[package]]
@@ -1030,13 +1030,13 @@ zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "huggingface-hub"
-version = "0.27.0"
+version = "0.27.1"
 description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
 optional = false
 python-versions = ">=3.8.0"
 files = [
-    {file = "huggingface_hub-0.27.0-py3-none-any.whl", hash = "sha256:8f2e834517f1f1ddf1ecc716f91b120d7333011b7485f665a9a412eacb1a2a81"},
-    {file = "huggingface_hub-0.27.0.tar.gz", hash = "sha256:902cce1a1be5739f5589e560198a65a8edcfd3b830b1666f36e4b961f0454fac"},
+    {file = "huggingface_hub-0.27.1-py3-none-any.whl", hash = "sha256:1c5155ca7d60b60c2e2fc38cbb3ffb7f7c3adf48f824015b219af9061771daec"},
+    {file = "huggingface_hub-0.27.1.tar.gz", hash = "sha256:c004463ca870283909d715d20f066ebd6968c2207dae9393fdffb3c1d4d8f98b"},
 ]
 
 [package.dependencies]
@@ -1112,18 +1112,18 @@ files = [
 
 [[package]]
 name = "instructor"
-version = "1.7.1"
+version = "1.7.2"
 description = "structured outputs for llm"
 optional = false
 python-versions = "<4.0,>=3.9"
 files = [
-    {file = "instructor-1.7.1-py3-none-any.whl", hash = "sha256:f95d77c2c0efaf8bf65f3f2acf26e250a4c0614fda6558b354cd03eb14f0cd9b"},
-    {file = "instructor-1.7.1.tar.gz", hash = "sha256:41bd04b97f0709a569b36d749161b55aa2e5d7ce7451d728d4404a76834a5bdd"},
+    {file = "instructor-1.7.2-py3-none-any.whl", hash = "sha256:cb43d27f6d7631c31762b936b2fcb44d2a3f9d8a020430a0f4d3484604ffb95b"},
+    {file = "instructor-1.7.2.tar.gz", hash = "sha256:6c01b2b159766df24865dc81f7bf8457cbda88a3c0bbc810da3467d19b185ed2"},
 ]
 
 [package.dependencies]
 aiohttp = ">=3.9.1,<4.0.0"
-docstring-parser = ">=0.16,<0.17"
+docstring-parser = ">=0.16,<1.0"
 jinja2 = ">=3.1.4,<4.0.0"
 jiter = ">=0.6.1,<0.9"
 openai = ">=1.52.0,<2.0.0"
@@ -1135,15 +1135,13 @@ tenacity = ">=9.0.0,<10.0.0"
 typer = ">=0.9.0,<1.0.0"
 
 [package.extras]
-anthropic = ["anthropic (>=0.36.2,<0.41.0)", "xmltodict (>=0.13,<0.15)"]
-cerebras-cloud-sdk = ["cerebras_cloud_sdk (>=1.5.0,<2.0.0)"]
+anthropic = ["anthropic (==0.42.0)", "xmltodict (>=0.13,<0.15)"]
+cerebras-cloud-sdk = ["cerebras-cloud-sdk (>=1.5.0,<2.0.0)"]
 cohere = ["cohere (>=5.1.8,<6.0.0)"]
-fireworks-ai = ["fireworks-ai (>=0.15.4,<0.16.0)"]
-google-generativeai = ["google-generativeai (>=0.8.2,<0.9.0)"]
+fireworks-ai = ["fireworks-ai (>=0.15.4,<1.0.0)"]
+google-generativeai = ["google-generativeai (>=0.8.2,<1.0.0)", "jsonref (>=1.1.0,<2.0.0)"]
 groq = ["groq (>=0.4.2,<0.14.0)"]
-litellm = ["litellm (>=1.35.31,<2.0.0)"]
-mistralai = ["mistralai (>=1.0.3,<2.0.0)"]
-test-docs = ["anthropic (>=0.36.2,<0.41.0)", "cohere (>=5.1.8,<6.0.0)", "diskcache (>=5.6.3,<6.0.0)", "fastapi (>=0.109.2,<0.116.0)", "groq (>=0.4.2,<0.14.0)", "litellm (>=1.35.31,<2.0.0)", "mistralai (>=1.0.3,<2.0.0)", "pandas (>=2.2.0,<3.0.0)", "pydantic_extra_types (>=2.6.0,<3.0.0)", "redis (>=5.0.1,<6.0.0)", "tabulate (>=0.9.0,<0.10.0)"]
+test-docs = ["diskcache (>=5.6.3,<6.0.0)", "fastapi (>=0.109.2,<0.116.0)", "litellm (>=1.35.31,<2.0.0)", "mistralai (>=1.0.3,<2.0.0)", "pandas (>=2.2.0,<3.0.0)", "pydantic-extra-types (>=2.6.0,<3.0.0)", "redis (>=5.0.1,<6.0.0)", "tabulate (>=0.9.0,<1.0.0)"]
 vertexai = ["google-cloud-aiplatform (>=1.53.0,<2.0.0)", "jsonref (>=1.1.0,<2.0.0)"]
 writer = ["writer-sdk (>=1.2.0,<2.0.0)"]
 
@@ -1491,13 +1489,13 @@ files = [
 
 [[package]]
 name = "litellm"
-version = "1.55.4"
+version = "1.57.0"
 description = "Library to easily interface with LLM API providers"
 optional = false
 python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
 files = [
-    {file = "litellm-1.55.4-py3-none-any.whl", hash = "sha256:ee608133854487d2fd985d98b2c8675dffdb5cb7fa90ed08380082f064a36ec5"},
-    {file = "litellm-1.55.4.tar.gz", hash = "sha256:b464fe06863f0cf67a3974cb0465283eb5ac9d711838f7f5964d83804249f3c0"},
+    {file = "litellm-1.57.0-py3-none-any.whl", hash = "sha256:339aec6f3ecac2035bf6311aa8913ce587c9aca2dc7d72a63a210c659e9721ca"},
+    {file = "litellm-1.57.0.tar.gz", hash = "sha256:53a6f2bd9575823e102f7d18dde5cbd2d48eed027cecbb585f18a208605b34c5"},
 ]
 
 [package.dependencies]
@@ -1510,13 +1508,12 @@ jsonschema = ">=4.22.0,<5.0.0"
 openai = ">=1.55.3"
 pydantic = ">=2.0.0,<3.0.0"
 python-dotenv = ">=0.2.0"
-requests = ">=2.31.0,<3.0.0"
 tiktoken = ">=0.7.0"
 tokenizers = "*"
 
 [package.extras]
 extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
-proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
+proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=43.0.1,<44.0.0)", "fastapi (>=0.115.5,<0.116.0)", "fastapi-sso (>=0.16.0,<0.17.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.18,<0.0.19)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
 
 [[package]]
 name = "markdown-it-py"
@@ -1940,13 +1937,13 @@ files = [
 
 [[package]]
 name = "openai"
-version = "1.58.1"
+version = "1.59.3"
 description = "The official Python library for the openai API"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "openai-1.58.1-py3-none-any.whl", hash = "sha256:e2910b1170a6b7f88ef491ac3a42c387f08bd3db533411f7ee391d166571d63c"},
-    {file = "openai-1.58.1.tar.gz", hash = "sha256:f5a035fd01e141fc743f4b0e02c41ca49be8fab0866d3b67f5f29b4f4d3c0973"},
+    {file = "openai-1.59.3-py3-none-any.whl", hash = "sha256:b041887a0d8f3e70d1fc6ffbb2bf7661c3b9a2f3e806c04bf42f572b9ac7bc37"},
+    {file = "openai-1.59.3.tar.gz", hash = "sha256:7f7fff9d8729968588edf1524e73266e8593bb6cab09298340efb755755bb66f"},
 ]
 
 [package.dependencies]
@@ -2060,93 +2057,89 @@ files = [
 
 [[package]]
 name = "pillow"
-version = "11.0.0"
+version = "11.1.0"
 description = "Python Imaging Library (Fork)"
 optional = false
 python-versions = ">=3.9"
 files = [
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+    {file = "pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:015c6e863faa4779251436db398ae75051469f7c903b043a48f078e437656f83"},
+    {file = "pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_28_aarch64.whl", hash = "sha256:d44ff19eea13ae4acdaaab0179fa68c0c6f2f45d66a4d8ec1eda7d6cecbcc15f"},
+    {file = "pillow-11.1.0-pp310-pypy310_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:d3d8da4a631471dfaf94c10c85f5277b1f8e42ac42bade1ac67da4b4a7359b73"},
+    {file = "pillow-11.1.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:4637b88343166249fe8aa94e7c4a62a180c4b3898283bb5d3d2fd5fe10d8e4e0"},
+    {file = "pillow-11.1.0.tar.gz", hash = "sha256:368da70808b36d73b4b390a8ffac11069f8a5c85f29eff1f1b01bcf3ef5b2a20"},
 ]
 
 [package.extras]
 docs = ["furo", "olefile", "sphinx (>=8.1)", "sphinx-copybutton", "sphinx-inline-tabs", "sphinxext-opengraph"]
 fpx = ["olefile"]
 mic = ["olefile"]
-tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout"]
+tests = ["check-manifest", "coverage (>=7.4.2)", "defusedxml", "markdown2", "olefile", "packaging", "pyroma", "pytest", "pytest-cov", "pytest-timeout", "trove-classifiers (>=2024.10.12)"]
 typing = ["typing-extensions"]
 xmp = ["defusedxml"]
 
@@ -2485,13 +2478,13 @@ typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
 
 [[package]]
 name = "pygments"
-version = "2.18.0"
+version = "2.19.1"
 description = "Pygments is a syntax highlighting package written in Python."
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "pygments-2.18.0-py3-none-any.whl", hash = "sha256:b8e6aca0523f3ab76fee51799c488e38782ac06eafcf95e7ba832985c8e7b13a"},
-    {file = "pygments-2.18.0.tar.gz", hash = "sha256:786ff802f32e91311bff3889f6e9a86e81505fe99f2735bb6d60ae0c5004f199"},
+    {file = "pygments-2.19.1-py3-none-any.whl", hash = "sha256:9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c"},
+    {file = "pygments-2.19.1.tar.gz", hash = "sha256:61c16d2a8576dc0649d9f39e089b5f02bcd27fba10d8fb4dcc28173f7a45151f"},
 ]
 
 [package.extras]
@@ -2499,13 +2492,13 @@ windows-terminal = ["colorama (>=0.4.6)"]
 
 [[package]]
 name = "pyparsing"
-version = "3.2.0"
+version = "3.2.1"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "pyparsing-3.2.0-py3-none-any.whl", hash = "sha256:93d9577b88da0bbea8cc8334ee8b918ed014968fd2ec383e868fb8afb1ccef84"},
-    {file = "pyparsing-3.2.0.tar.gz", hash = "sha256:cbf74e27246d595d9a74b186b810f6fbb86726dbf3b9532efb343f6d7294fe9c"},
+    {file = "pyparsing-3.2.1-py3-none-any.whl", hash = "sha256:506ff4f4386c4cec0590ec19e6302d3aedb992fdc02c761e90416f158dacf8e1"},
+    {file = "pyparsing-3.2.1.tar.gz", hash = "sha256:61980854fd66de3a90028d679a954d5f2623e83144b5afe5ee86f43d762e5f0a"},
 ]
 
 [package.extras]
@@ -3011,23 +3004,23 @@ jeepney = ">=0.6"
 
 [[package]]
 name = "setuptools"
-version = "75.6.0"
+version = "75.7.0"
 description = "Easily download, build, install, upgrade, and uninstall Python packages"
 optional = false
 python-versions = ">=3.9"
 files = [
-    {file = "setuptools-75.6.0-py3-none-any.whl", hash = "sha256:ce74b49e8f7110f9bf04883b730f4765b774ef3ef28f722cce7c273d253aaf7d"},
-    {file = "setuptools-75.6.0.tar.gz", hash = "sha256:8199222558df7c86216af4f84c30e9b34a61d8ba19366cc914424cdbd28252f6"},
+    {file = "setuptools-75.7.0-py3-none-any.whl", hash = "sha256:84fb203f278ebcf5cd08f97d3fb96d3fbed4b629d500b29ad60d11e00769b183"},
+    {file = "setuptools-75.7.0.tar.gz", hash = "sha256:886ff7b16cd342f1d1defc16fc98c9ce3fde69e087a4e1983d7ab634e5f41f4f"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.7.0)"]
+check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)", "ruff (>=0.8.0)"]
 core = ["importlib_metadata (>=6)", "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)", "wheel (>=0.43.0)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "pygments-github-lexers (==0.0.5)", "pyproject-hooks (!=1.1)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-favicon", "sphinx-inline-tabs", "sphinx-lint", "sphinx-notfound-page (>=1,<2)", "sphinx-reredirects", "sphinxcontrib-towncrier", "towncrier (<24.7)"]
 enabler = ["pytest-enabler (>=2.2)"]
-test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.2.0)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
-type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (>=1.12,<1.14)", "pytest-mypy"]
+test = ["build[virtualenv] (>=1.0.3)", "filelock (>=3.4.0)", "ini2toml[lite] (>=0.14)", "jaraco.develop (>=7.21)", "jaraco.envs (>=2.2)", "jaraco.path (>=3.7.2)", "jaraco.test (>=5.5)", "packaging (>=24.2)", "pip (>=19.1)", "pyproject-hooks (!=1.1)", "pytest (>=6,!=8.1.*)", "pytest-home (>=0.5)", "pytest-perf", "pytest-subprocess", "pytest-timeout", "pytest-xdist (>=3)", "tomli-w (>=1.0.0)", "virtualenv (>=13.0.0)", "wheel (>=0.44.0)"]
+type = ["importlib_metadata (>=7.0.2)", "jaraco.develop (>=7.21)", "mypy (==1.14.*)", "pytest-mypy"]
 
 [[package]]
 name = "shellingham"
@@ -3551,4 +3544,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "caf8273167768467fed7b1ad34cae5d9994e5aa552aab2bc04b58721d6daf265"
+content-hash = "8715f935b3b9d906e65bbb1ded26495e5d1fac64b51545cb592b2ef6d66689a8"
diff --git a/pyproject.toml b/pyproject.toml
index 50e2b68f..3111054c 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ tqdm = "^4.67.0"
 matplotlib = "^3.9.2"
 nest-asyncio = "^1.6.0"
 rich = "^13.7.0"
-litellm = "1.55.4"
+litellm = "^1.57.0"
 isort = "^5.13.2"
 tiktoken = ">=0.7.0,<0.8.0"
 aiofiles = ">=22.0,<24.0"
diff --git a/src/bespokelabs/curator/llm/llm.py b/src/bespokelabs/curator/llm/llm.py
index b76b13cd..d1310f63 100644
--- a/src/bespokelabs/curator/llm/llm.py
+++ b/src/bespokelabs/curator/llm/llm.py
@@ -93,7 +93,7 @@ def __init__(
 
         if batch:
             config_params = {
-                "model": model_name,
+                "model_name": model_name,
                 "base_url": base_url,
                 "batch_size": batch_size,
                 "batch_check_interval": batch_check_interval,
@@ -106,7 +106,7 @@ def __init__(
             config = BatchRequestProcessorConfig(**_remove_none_values(config_params))
         else:
             config_params = {
-                "model": model_name,
+                "model_name": model_name,
                 "base_url": base_url,
                 "max_requests_per_minute": max_requests_per_minute,
                 "max_tokens_per_minute": max_tokens_per_minute,
diff --git a/src/bespokelabs/curator/request_processor/base_request_processor.py b/src/bespokelabs/curator/request_processor/base_request_processor.py
index 473d8a49..5cd52e06 100644
--- a/src/bespokelabs/curator/request_processor/base_request_processor.py
+++ b/src/bespokelabs/curator/request_processor/base_request_processor.py
@@ -75,14 +75,14 @@ def run(
             return output_dataset
 
         logger.info(
-            f"Running {self.__class__.__name__} completions with model: {self.config.model}"
+            f"Running {self.__class__.__name__} completions with model: {self.config.model_name}"
         )
 
         self.prompt_formatter = prompt_formatter
         if self.prompt_formatter.response_format:
             if not self.check_structured_output_support():
                 raise ValueError(
-                    f"Model {self.config.model} does not support structured output, "
+                    f"Model {self.config.model_name} does not support structured output, "
                     f"response_format: {self.prompt_formatter.response_format}"
                 )
         generic_request_files = self.create_request_files(dataset)
diff --git a/src/bespokelabs/curator/request_processor/batch/anthropic_batch_request_processor.py b/src/bespokelabs/curator/request_processor/batch/anthropic_batch_request_processor.py
index 3b55656f..1c419004 100644
--- a/src/bespokelabs/curator/request_processor/batch/anthropic_batch_request_processor.py
+++ b/src/bespokelabs/curator/request_processor/batch/anthropic_batch_request_processor.py
@@ -186,7 +186,7 @@ def create_api_specific_request_batch(self, generic_request: GenericRequest) ->
             "custom_id": str(generic_request.original_row_idx),
             "params": {
                 "model": generic_request.model,
-                "max_tokens": litellm.get_max_tokens(self.config.model),
+                "max_tokens": litellm.get_max_tokens(self.config.model_name),
                 **kwargs,  # contains 'system' and 'messages'
                 **generic_request.generation_params,  # contains 'temperature', 'top_p', etc.
             },
@@ -243,7 +243,7 @@ def parse_api_specific_response(
             )
 
             cost = litellm.completion_cost(
-                model=self.config.model,
+                model=self.config.model_name,
                 prompt=str(generic_request.messages),
                 completion=response_message_raw,
             )
diff --git a/src/bespokelabs/curator/request_processor/batch/openai_batch_request_processor.py b/src/bespokelabs/curator/request_processor/batch/openai_batch_request_processor.py
index 85515d7d..67437730 100644
--- a/src/bespokelabs/curator/request_processor/batch/openai_batch_request_processor.py
+++ b/src/bespokelabs/curator/request_processor/batch/openai_batch_request_processor.py
@@ -171,7 +171,7 @@ def parse_api_specific_response(
             )
 
             cost = litellm.completion_cost(
-                model=self.config.model,
+                model=self.config.model_name,
                 prompt=str(generic_request.messages),
                 completion=response_message_raw,
             )
diff --git a/src/bespokelabs/curator/request_processor/config.py b/src/bespokelabs/curator/request_processor/config.py
index 5402f01d..8aee825c 100644
--- a/src/bespokelabs/curator/request_processor/config.py
+++ b/src/bespokelabs/curator/request_processor/config.py
@@ -8,7 +8,7 @@
 class RequestProcessorConfig(BaseModel):
     """Configuration for request processors."""
 
-    model: str
+    model_name: str
     base_url: str | None = None
     max_retries: int = Field(default=10, ge=0)
     request_timeout: int = Field(default=10 * 60, gt=0)
@@ -16,14 +16,14 @@ class RequestProcessorConfig(BaseModel):
     generation_params: dict = Field(default_factory=dict)
 
     def __post_init__(self):
-        self.supported_params = litellm.get_supported_openai_params(model=self.model)
+        self.supported_params = litellm.get_supported_openai_params(model=self.model_name)
         logger.debug(
-            f"Automatically detected supported params using litellm for {self.model}: {self.supported_params}"
+            f"Automatically detected supported params using litellm for {self.model_name}: {self.supported_params}"
         )
 
         for key in self.generation_params.keys():
             raise ValueError(
-                f"Generation parameter '{key}' is not supported for model '{self.model}'"
+                f"Generation parameter '{key}' is not supported for model '{self.model_name}'"
             )
 
 
diff --git a/src/bespokelabs/curator/request_processor/online/litellm_online_request_processor.py b/src/bespokelabs/curator/request_processor/online/litellm_online_request_processor.py
index a6f10c62..041433d1 100644
--- a/src/bespokelabs/curator/request_processor/online/litellm_online_request_processor.py
+++ b/src/bespokelabs/curator/request_processor/online/litellm_online_request_processor.py
@@ -67,7 +67,7 @@ class User(BaseModel):
         try:
             response = run_in_event_loop(
                 self.client.chat.completions.create(
-                    model=self.config.model,
+                    model=self.config.model_name,
                     messages=[{"role": "user", "content": "Jason is 25 years old."}],
                     response_model=User,
                 )
@@ -75,16 +75,18 @@ class User(BaseModel):
             logger.info(f"Check instructor structure output response: {response}")
             assert isinstance(response, User)
             logger.info(
-                f"Model {self.config.model} supports structured output via instructor, response: {response}"
+                f"Model {self.config.model_name} supports structured output via instructor, response: {response}"
             )
             return True
         except instructor.exceptions.InstructorRetryException as e:
             if "litellm.AuthenticationError" in str(e):
-                logger.warning(f"Please provide a valid API key for model {self.config.model}.")
+                logger.warning(
+                    f"Please provide a valid API key for model {self.config.model_name}."
+                )
                 raise e
             else:
                 logger.warning(
-                    f"Model {self.config.model} does not support structured output via instructor: {e} {type(e)} {e.__cause__}"
+                    f"Model {self.config.model_name} does not support structured output via instructor: {e} {type(e)} {e.__cause__}"
                 )
                 return False
 
@@ -101,7 +103,7 @@ def estimate_output_tokens(self) -> int:
             Falls back to 0 if token estimation fails
         """
         try:
-            return litellm.get_max_tokens(model=self.config.model) // 4
+            return litellm.get_max_tokens(model=self.config.model_name) // 4
         except Exception:
             return 0
 
@@ -117,13 +119,13 @@ def estimate_total_tokens(self, messages: list) -> int:
         Returns:
             int: Total estimated tokens (input + output)
         """
-        input_tokens = litellm.token_counter(model=self.config.model, messages=messages)
+        input_tokens = litellm.token_counter(model=self.config.model_name, messages=messages)
         output_tokens = self.estimate_output_tokens()
         return input_tokens + output_tokens
 
     def test_call(self):
         completion = litellm.completion(
-            model=self.config.model,
+            model=self.config.model_name,
             messages=[
                 {"role": "user", "content": "hi"}
             ],  # Some models (e.g. Claude) require an non-empty message to get rate limits.
@@ -133,7 +135,9 @@ def test_call(self):
             litellm.completion_cost(completion_response=completion.model_dump())
         except Exception as e:
             # We should ideally not catch a catch-all exception here. But litellm is not throwing any specific error.
-            logger.warning(f"LiteLLM does not support cost estimation for model {self.model}: {e}")
+            logger.warning(
+                f"LiteLLM does not support cost estimation for model {self.config.model_name}: {e}"
+            )
 
         headers = completion._hidden_params.get("additional_headers", {})
         logger.info(f"Test call headers: {headers}")
@@ -149,7 +153,7 @@ def get_header_based_rate_limits(self) -> tuple[int, int]:
             - Makes a test request to get rate limit information from response headers.
             - Some providers (e.g., Claude) require non-empty messages
         """
-        logger.info(f"Getting rate limits for model: {self.config.model}")
+        logger.info(f"Getting rate limits for model: {self.config.model_name}")
 
         headers = self.test_call()
         rpm = int(headers.get("x-ratelimit-limit-requests", 0))
diff --git a/src/bespokelabs/curator/request_processor/online/openai_online_request_processor.py b/src/bespokelabs/curator/request_processor/online/openai_online_request_processor.py
index 7ccf3787..ba2a3cbf 100644
--- a/src/bespokelabs/curator/request_processor/online/openai_online_request_processor.py
+++ b/src/bespokelabs/curator/request_processor/online/openai_online_request_processor.py
@@ -64,7 +64,7 @@ def get_header_based_rate_limits(self) -> tuple[int, int]:
         response = requests.post(
             self.url,
             headers={"Authorization": f"Bearer {self.api_key}"},
-            json={"model": self.config.model, "messages": []},
+            json={"model": self.config.model_name, "messages": []},
         )
         rpm = int(response.headers.get("x-ratelimit-limit-requests", 0))
         tpm = int(response.headers.get("x-ratelimit-limit-tokens", 0))
@@ -82,7 +82,7 @@ def estimate_output_tokens(self) -> int:
             Override this method for more accurate model-specific estimates.
         """
         try:
-            return litellm.get_max_tokens(model=self.config.model) // 4
+            return litellm.get_max_tokens(model=self.config.model_name) // 4
         except Exception:
             return 0
 
@@ -131,7 +131,7 @@ def check_structured_output_support(self) -> bool:
             - gpt-4o-mini with date >= 2024-07-18 or latest
             - gpt-4o with date >= 2024-08-06 or latest
         """
-        model_name = self.config.model.lower()
+        model_name = self.config.model_name.lower()
 
         # Check gpt-4o-mini support
         if model_name == "gpt-4o-mini":  # Latest version
@@ -231,9 +231,9 @@ async def call_single_request(
 
     def get_token_encoding(self) -> str:
         """Get the token encoding name for a given model."""
-        if self.config.model.startswith("gpt-4"):
+        if self.config.model_name.startswith("gpt-4"):
             name = "cl100k_base"
-        elif self.config.model.startswith("gpt-3.5"):
+        elif self.config.model_name.startswith("gpt-3.5"):
             name = "cl100k_base"
         else:
             name = "cl100k_base"  # Default to cl100k_base