diff --git a/.github/workflows/prepare_release.yml b/.github/workflows/prepare_release.yml
index 02c42f98..bbd05015 100644
--- a/.github/workflows/prepare_release.yml
+++ b/.github/workflows/prepare_release.yml
@@ -61,4 +61,4 @@ jobs:
           gh pr create -B main --title "$COMMIT_MESSAGE" \
           --body 'Update ${{ github.event.inputs.packageName }} version from ${{ steps.packages_update.outputs.old_version }} to ${{ steps.packages_update.outputs.new_version }}'
         env:
-          GH_TOKEN: ${{ secrets.GH_TOKEN }}
\ No newline at end of file
+          GH_TOKEN: ${{ secrets.GH_TOKEN }}
diff --git a/.github/workflows/push_release.yml b/.github/workflows/push_release.yml
index f0cb6224..716ab579 100644
--- a/.github/workflows/push_release.yml
+++ b/.github/workflows/push_release.yml
@@ -48,4 +48,4 @@ jobs:
           uv tool run twine upload dist/*
         env:
             TWINE_USERNAME: __token__
-            TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
\ No newline at end of file
+            TWINE_PASSWORD: ${{ secrets.PYPI_TOKEN }}
diff --git a/docs/how-to/document_search/distributed_ingestion.md b/docs/how-to/document_search/distributed_ingestion.md
index 63b49ebf..70abf8d2 100644
--- a/docs/how-to/document_search/distributed_ingestion.md
+++ b/docs/how-to/document_search/distributed_ingestion.md
@@ -49,7 +49,7 @@ job_id = client.submit_job(
     runtime_env={
         "working_dir": "./",
         "pip": [
-            "ragbits-core[litellm]",
+            "ragbits-core",
             "ragbits-document-search[distributed]"
         ]
     },
@@ -62,7 +62,7 @@ Ray Jobs is also available as CLI commands. You can submit a job using the follo
 ```bash
 ray job submit \
     --address http://<cluster_address>:8265 \
-    --runtime-env '{"pip": ["ragbits-core[litellm]", "ragbits-document-search[distributed]"]}'\
+    --runtime-env '{"pip": ["ragbits-core", "ragbits-document-search[distributed]"]}'\
     --working-dir . \
     -- python script.py
 ```
diff --git a/docs/quickstart/quickstart1_prompts.md b/docs/quickstart/quickstart1_prompts.md
index b20076ee..ea277c24 100644
--- a/docs/quickstart/quickstart1_prompts.md
+++ b/docs/quickstart/quickstart1_prompts.md
@@ -7,10 +7,10 @@ In this Quickstart guide, you will learn how to define a dynamic prompt in Ragbi
 To install Ragbits, run the following command in your terminal:
 
 ```bash
-pip install ragbits[litellm]
+pip install ragbits
 ```
 
-This command will install all the popular Ragbits packages, along with [LiteLLM](https://docs.litellm.ai/docs/), which we will use in this guide for communicating with LLM APIs.
+This command will install all the popular Ragbits packages.
 
 ## Defining a Static Prompt
 The most standard way to define a prompt in Ragbits is to create a class that inherits from the `Prompt` class and configure it by setting values for appropriate properties. Here is an example of a simple prompt that asks the model to write a song about Ragbits:
diff --git a/examples/apps/documents_chat.py b/examples/apps/documents_chat.py
index 576d6e37..1f74eb0c 100644
--- a/examples/apps/documents_chat.py
+++ b/examples/apps/documents_chat.py
@@ -3,7 +3,7 @@
 # dependencies = [
 #     "gradio",
 #     "ragbits-document-search",
-#     "ragbits-core[chroma,litellm]",
+#     "ragbits-core[chroma]",
 # ]
 # ///
 from collections.abc import AsyncIterator
diff --git a/examples/core/llm.py b/examples/core/llm.py
index 91dfe2bf..a63fbf27 100644
--- a/examples/core/llm.py
+++ b/examples/core/llm.py
@@ -1,7 +1,7 @@
 # /// script
 # requires-python = ">=3.10"
 # dependencies = [
-#     "ragbits-core[litellm]",
+#     "ragbits-core",
 # ]
 # ///
 import asyncio
diff --git a/examples/document-search/basic.py b/examples/document-search/basic.py
index 0d3667f9..973a6375 100644
--- a/examples/document-search/basic.py
+++ b/examples/document-search/basic.py
@@ -26,7 +26,7 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "ragbits-document-search",
-#     "ragbits-core[litellm]",
+#     "ragbits-core",
 # ]
 # ///
 
diff --git a/examples/document-search/chroma.py b/examples/document-search/chroma.py
index bdf27dc5..7fa18480 100644
--- a/examples/document-search/chroma.py
+++ b/examples/document-search/chroma.py
@@ -27,7 +27,7 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "ragbits-document-search",
-#     "ragbits-core[chroma,litellm]",
+#     "ragbits-core[chroma]",
 # ]
 # ///
 
diff --git a/examples/document-search/chroma_otel.py b/examples/document-search/chroma_otel.py
index e5c28cb5..405ae0bb 100644
--- a/examples/document-search/chroma_otel.py
+++ b/examples/document-search/chroma_otel.py
@@ -45,7 +45,7 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "ragbits-document-search",
-#     "ragbits-core[chroma,litellm,otel]",
+#     "ragbits-core[chroma,otel]",
 # ]
 # ///
 
diff --git a/examples/document-search/distributed.py b/examples/document-search/distributed.py
index 82d14896..9a2b8065 100644
--- a/examples/document-search/distributed.py
+++ b/examples/document-search/distributed.py
@@ -25,7 +25,7 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "ragbits-document-search[distributed]",
-#     "ragbits-core[litellm]",
+#     "ragbits-core",
 # ]
 # ///
 
diff --git a/examples/document-search/from_config.py b/examples/document-search/from_config.py
index 1b5912f8..0048fce6 100644
--- a/examples/document-search/from_config.py
+++ b/examples/document-search/from_config.py
@@ -24,7 +24,7 @@ class to rephrase the query.
 # requires-python = ">=3.10"
 # dependencies = [
 #     "ragbits-document-search",
-#     "ragbits-core[chroma,litellm]",
+#     "ragbits-core[chroma]",
 # ]
 # ///
 
diff --git a/examples/document-search/multimodal.py b/examples/document-search/multimodal.py
index 0e932bd5..a7c07b22 100644
--- a/examples/document-search/multimodal.py
+++ b/examples/document-search/multimodal.py
@@ -27,7 +27,7 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "ragbits-document-search",
-#     "ragbits-core[litellm]",
+#     "ragbits-core",
 # ]
 # ///
 import asyncio
diff --git a/examples/document-search/qdrant.py b/examples/document-search/qdrant.py
index b1ea998e..db8dfe8c 100644
--- a/examples/document-search/qdrant.py
+++ b/examples/document-search/qdrant.py
@@ -27,7 +27,7 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "ragbits-document-search",
-#     "ragbits-core[litellm,qdrant]",
+#     "ragbits-core[qdrant]",
 # ]
 # ///
 
diff --git a/examples/evaluation/document-search/evaluate.py b/examples/evaluation/document-search/evaluate.py
index 07a2996b..d421ce59 100644
--- a/examples/evaluation/document-search/evaluate.py
+++ b/examples/evaluation/document-search/evaluate.py
@@ -3,7 +3,7 @@
 # dependencies = [
 #     "ragbits-document-search",
 #     "ragbits-evaluate[relari]",
-#     "ragbits-core[litellm,chroma]",
+#     "ragbits-core[chroma]",
 # ]
 # ///
 import asyncio
diff --git a/examples/evaluation/document-search/ingest.py b/examples/evaluation/document-search/ingest.py
index 60758202..c40e01b5 100644
--- a/examples/evaluation/document-search/ingest.py
+++ b/examples/evaluation/document-search/ingest.py
@@ -2,7 +2,7 @@
 # requires-python = ">=3.10"
 # dependencies = [
 #     "ragbits-document-search[huggingface]",
-#     "ragbits-core[litellm,chroma]",
+#     "ragbits-core[chroma]",
 #     "hydra-core~=1.3.2",
 #     "unstructured[md]>=0.15.13",
 # ]
diff --git a/packages/ragbits-cli/src/ragbits/cli/__init__.py b/packages/ragbits-cli/src/ragbits/cli/__init__.py
index 52696360..2fb82540 100644
--- a/packages/ragbits-cli/src/ragbits/cli/__init__.py
+++ b/packages/ragbits-cli/src/ragbits/cli/__init__.py
@@ -1,12 +1,29 @@
 import importlib.util
 import pkgutil
 from pathlib import Path
+from typing import Annotated
 
-from typer import Typer
+import typer
 
 import ragbits
 
-app = Typer(no_args_is_help=True)
+from .app import CLI, OutputType
+
+app = CLI(no_args_is_help=True)
+
+
+@app.callback()
+def output_type(
+    # `OutputType.text.value` used as a workaround for the issue with `typer.Option` not accepting Enum values
+    output: Annotated[
+        OutputType, typer.Option("--output", "-o", help="Set the output type (text or json)")
+    ] = OutputType.text.value,  # type: ignore
+) -> None:
+    """Sets an output type for the CLI
+    Args:
+        output: type of output to be set
+    """
+    app.set_output_type(output_type=output)
 
 
 def main() -> None:
diff --git a/packages/ragbits-cli/src/ragbits/cli/app.py b/packages/ragbits-cli/src/ragbits/cli/app.py
new file mode 100644
index 00000000..37a29067
--- /dev/null
+++ b/packages/ragbits-cli/src/ragbits/cli/app.py
@@ -0,0 +1,76 @@
+import json
+from dataclasses import dataclass
+from enum import Enum
+from typing import Any
+
+import typer
+from pydantic import BaseModel
+from rich.console import Console
+from rich.table import Table
+
+
+class OutputType(Enum):
+    """Indicates a type of CLI output formatting"""
+
+    text = "text"
+    json = "json"
+
+
+@dataclass()
+class CliState:
+    """A dataclass describing CLI state"""
+
+    output_type: OutputType = OutputType.text
+
+
+class CLI(typer.Typer):
+    """A CLI class with output formatting"""
+
+    def __init__(self, *args: Any, **kwargs: Any):  # noqa: ANN401
+        super().__init__(*args, **kwargs)
+        self.state: CliState = CliState()
+        self.console: Console = Console()
+
+    def set_output_type(self, output_type: OutputType) -> None:
+        """
+        Set the output type in the app state
+        Args:
+            output_type: OutputType
+        """
+        self.state.output_type = output_type
+
+    def print_output(self, data: list[BaseModel] | BaseModel) -> None:
+        """
+        Process and display output based on the current state's output type.
+
+        Args:
+            data: list of ditionaries or list of pydantic models representing output of CLI function
+        """
+        if isinstance(data, BaseModel):
+            data = [data]
+        if len(data) == 0:
+            self._print_empty_list()
+            return
+        first_el_instance = type(data[0])
+        if any(not isinstance(datapoint, first_el_instance) for datapoint in data):
+            raise ValueError("All the rows need to be of the same type")
+        data_dicts: list[dict] = [output.model_dump(mode="python") for output in data]
+        output_type = self.state.output_type
+        if output_type == OutputType.json:
+            print(json.dumps(data_dicts, indent=4))
+        elif output_type == OutputType.text:
+            table = Table(show_header=True, header_style="bold magenta")
+            properties = data[0].model_json_schema()["properties"]
+            for key in properties:
+                table.add_column(properties[key]["title"])
+            for row in data_dicts:
+                table.add_row(*[str(value) for value in row.values()])
+            self.console.print(table)
+        else:
+            raise ValueError(f"Output type: {output_type} not supported")
+
+    def _print_empty_list(self) -> None:
+        if self.state.output_type == OutputType.text:
+            print("Empty data list")
+        elif self.state.output_type == OutputType.json:
+            print(json.dumps([]))
diff --git a/packages/ragbits-core/pyproject.toml b/packages/ragbits-core/pyproject.toml
index cf2c3caa..fb3280ed 100644
--- a/packages/ragbits-core/pyproject.toml
+++ b/packages/ragbits-core/pyproject.toml
@@ -36,6 +36,7 @@ dependencies = [
     "pydantic>=2.9.1",
     "typer~=0.12.5",
     "tomli~=2.0.2",
+    "litellm~=1.46.0",
 ]
 
 [project.urls]
@@ -48,9 +49,6 @@ dependencies = [
 chroma = [
     "chromadb~=0.4.24",
 ]
-litellm = [
-    "litellm~=1.46.0",
-]
 local = [
     "torch~=2.2.1",
     "transformers~=4.44.2",
diff --git a/packages/ragbits-core/src/ragbits/core/cli.py b/packages/ragbits-core/src/ragbits/core/cli.py
index a0788fbd..7f8ad1d9 100644
--- a/packages/ragbits-core/src/ragbits/core/cli.py
+++ b/packages/ragbits-core/src/ragbits/core/cli.py
@@ -6,11 +6,12 @@
 from pathlib import Path
 
 import typer
-from rich import print as pprint
+from pydantic import BaseModel
 
+from ragbits.cli.app import CLI
 from ragbits.core.config import core_config
 from ragbits.core.llms.base import LLMType
-from ragbits.core.prompt.prompt import Prompt
+from ragbits.core.prompt.prompt import ChatFormat, Prompt
 
 
 def _render(prompt_path: str, payload: str | None) -> Prompt:
@@ -25,10 +26,17 @@ def _render(prompt_path: str, payload: str | None) -> Prompt:
     return prompt_cls()
 
 
+class LLMResponseCliOutput(BaseModel):
+    """An output model for llm responses in CLI"""
+
+    question: ChatFormat
+    answer: str | BaseModel | None = None
+
+
 prompts_app = typer.Typer(no_args_is_help=True)
 
 
-def register(app: typer.Typer) -> None:
+def register(app: CLI) -> None:
     """
     Register the CLI commands for the package.
 
@@ -68,9 +76,8 @@ def render(prompt_path: str, payload: str | None = None) -> None:
         Renders a prompt by loading a class from a module and initializing it with a given payload.
         """
         prompt = _render(prompt_path=prompt_path, payload=payload)
-
-        pprint("[orange3]RENDERED PROMPT:")
-        pprint(prompt.chat)
+        response = LLMResponseCliOutput(question=prompt.chat)
+        app.print_output(response)
 
     @prompts_app.command(name="exec")
     def execute(
@@ -92,11 +99,8 @@ def execute(
             raise ValueError("`llm_factory` must be provided")
         llm = get_llm_from_factory(llm_factory)
 
-        response = asyncio.run(llm.generate(prompt))
-
-        pprint("[orange3]QUESTION:")
-        pprint(prompt.chat)
-        pprint("[orange3]ANSWER:")
-        pprint(response)
+        llm_output = asyncio.run(llm.generate(prompt))
+        response = LLMResponseCliOutput(question=prompt.chat, answer=llm_output)
+        app.print_output(response)
 
     app.add_typer(prompts_app, name="prompts", help="Commands for managing prompts")
diff --git a/packages/ragbits-core/src/ragbits/core/embeddings/litellm.py b/packages/ragbits-core/src/ragbits/core/embeddings/litellm.py
index ad2d0929..4dbea167 100644
--- a/packages/ragbits-core/src/ragbits/core/embeddings/litellm.py
+++ b/packages/ragbits-core/src/ragbits/core/embeddings/litellm.py
@@ -1,9 +1,4 @@
-try:
-    import litellm
-
-    HAS_LITELLM = True
-except ImportError:
-    HAS_LITELLM = False
+import litellm
 
 from ragbits.core.audit import trace
 from ragbits.core.embeddings import Embeddings
@@ -40,13 +35,7 @@ def __init__(
                 for more information, follow the instructions for your specific vendor in the\
                 [LiteLLM documentation](https://docs.litellm.ai/docs/embedding/supported_embedding).
             api_version: The API version for the call.
-
-        Raises:
-            ImportError: If the 'litellm' extra requirements are not installed.
         """
-        if not HAS_LITELLM:
-            raise ImportError("You need to install the 'litellm' extra requirements to use LiteLLM embeddings models")
-
         super().__init__()
         self.model = model
         self.options = options or {}
diff --git a/packages/ragbits-core/src/ragbits/core/llms/__init__.py b/packages/ragbits-core/src/ragbits/core/llms/__init__.py
index b9c625e7..bf2ed301 100644
--- a/packages/ragbits-core/src/ragbits/core/llms/__init__.py
+++ b/packages/ragbits-core/src/ragbits/core/llms/__init__.py
@@ -3,8 +3,9 @@
 from ragbits.core.utils.config_handling import get_cls_from_config
 
 from .base import LLM
+from .litellm import LiteLLM
 
-__all__ = ["LLM"]
+__all__ = ["LLM", "LiteLLM"]
 
 module = sys.modules[__name__]
 
diff --git a/packages/ragbits-core/src/ragbits/core/llms/clients/litellm.py b/packages/ragbits-core/src/ragbits/core/llms/clients/litellm.py
index 7c5bfd04..a5915d29 100644
--- a/packages/ragbits-core/src/ragbits/core/llms/clients/litellm.py
+++ b/packages/ragbits-core/src/ragbits/core/llms/clients/litellm.py
@@ -1,17 +1,10 @@
 from collections.abc import AsyncGenerator
 from dataclasses import dataclass
 
+import litellm
+from litellm.utils import CustomStreamWrapper, ModelResponse
 from pydantic import BaseModel
 
-try:
-    import litellm
-    from litellm.utils import CustomStreamWrapper, ModelResponse
-
-    HAS_LITELLM = True
-except ImportError:
-    HAS_LITELLM = False
-
-
 from ragbits.core.audit import trace
 from ragbits.core.prompt import ChatFormat
 
@@ -64,13 +57,7 @@ def __init__(
             api_key: API key used to authenticate with the LLM API.
             api_version: API version of the LLM API.
             use_structured_output: Whether to request a structured output from the model. Default is False.
-
-        Raises:
-            ImportError: If the 'litellm' extra requirements are not installed.
         """
-        if not HAS_LITELLM:
-            raise ImportError("You need to install the 'litellm' extra requirements to use LiteLLM models")
-
         super().__init__(model_name)
         self.base_url = base_url
         self.api_key = api_key
@@ -181,7 +168,7 @@ async def _get_litellm_response(
         options: LiteLLMOptions,
         response_format: type[BaseModel] | dict | None,
         stream: bool = False,
-    ) -> "ModelResponse | CustomStreamWrapper":
+    ) -> ModelResponse | CustomStreamWrapper:
         try:
             response = await litellm.acompletion(
                 messages=conversation,
diff --git a/packages/ragbits-core/src/ragbits/core/llms/litellm.py b/packages/ragbits-core/src/ragbits/core/llms/litellm.py
index e50e26ce..13c1ebe7 100644
--- a/packages/ragbits-core/src/ragbits/core/llms/litellm.py
+++ b/packages/ragbits-core/src/ragbits/core/llms/litellm.py
@@ -2,12 +2,7 @@
 import warnings
 from functools import cached_property
 
-try:
-    import litellm
-
-    HAS_LITELLM = True
-except ImportError:
-    HAS_LITELLM = False
+import litellm
 
 from ragbits.core.prompt.base import BasePrompt, ChatFormat
 
@@ -47,13 +42,7 @@ def __init__(
             use_structured_output: Whether to request a
                 [structured output](https://docs.litellm.ai/docs/completion/json_mode#pass-in-json_schema)
                 from the model. Default is False. Can only be combined with models that support structured output.
-
-        Raises:
-            ImportError: If the 'litellm' extra requirements are not installed.
         """
-        if not HAS_LITELLM:
-            raise ImportError("You need to install the 'litellm' extra requirements to use LiteLLM models")
-
         super().__init__(model_name, default_options)
         self.base_url = base_url
         self.api_key = api_key
diff --git a/packages/ragbits-document-search/pyproject.toml b/packages/ragbits-document-search/pyproject.toml
index b79b9ee7..df3a12db 100644
--- a/packages/ragbits-document-search/pyproject.toml
+++ b/packages/ragbits-document-search/pyproject.toml
@@ -57,7 +57,7 @@ dev-dependencies = [
     "pytest-cov~=5.0.0",
     "pytest-asyncio~=0.24.0",
     "pip-licenses>=4.0.0,<5.0.0",
-    "ragbits[litellm,local]"
+    "ragbits[local]"
 ]
 
 [tool.uv.sources]
diff --git a/packages/ragbits/pyproject.toml b/packages/ragbits/pyproject.toml
index 1bfd9291..ae6b7f46 100644
--- a/packages/ragbits/pyproject.toml
+++ b/packages/ragbits/pyproject.toml
@@ -52,9 +52,6 @@ gcs = [
 lab = [
     "gradio~=4.44.0",
 ]
-litellm = [
-    "litellm~=1.46.0",
-]
 local = [
     "torch~=2.2.1",
     "transformers~=4.44.2",
diff --git a/pyproject.toml b/pyproject.toml
index c15c0f82..25d92cd2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -6,7 +6,7 @@ readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
     "ragbits-cli",
-    "ragbits-core[chroma,lab,litellm,local,otel,qdrant]",
+    "ragbits-core[chroma,lab,local,otel,qdrant]",
     "ragbits-document-search[gcs,huggingface,distributed]",
     "ragbits-evaluate[relari]",
     "ragbits-guardrails[openai]",
diff --git a/uv.lock b/uv.lock
index fb7c5b47..8c6e5972 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2514,6 +2514,8 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/bc/f7/7ec7fddc92e50714ea3745631f79bd9c96424cb2702632521028e57d3a36/multiprocess-0.70.16-py310-none-any.whl", hash = "sha256:c4a9944c67bd49f823687463660a2d6daae94c289adff97e0f9d696ba6371d02", size = 134824 },
     { url = "https://files.pythonhosted.org/packages/50/15/b56e50e8debaf439f44befec5b2af11db85f6e0f344c3113ae0be0593a91/multiprocess-0.70.16-py311-none-any.whl", hash = "sha256:af4cabb0dac72abfb1e794fa7855c325fd2b55a10a44628a3c1ad3311c04127a", size = 143519 },
     { url = "https://files.pythonhosted.org/packages/0a/7d/a988f258104dcd2ccf1ed40fdc97e26c4ac351eeaf81d76e266c52d84e2f/multiprocess-0.70.16-py312-none-any.whl", hash = "sha256:fc0544c531920dde3b00c29863377f87e1632601092ea2daca74e4beb40faa2e", size = 146741 },
+    { url = "https://files.pythonhosted.org/packages/ea/89/38df130f2c799090c978b366cfdf5b96d08de5b29a4a293df7f7429fa50b/multiprocess-0.70.16-py38-none-any.whl", hash = "sha256:a71d82033454891091a226dfc319d0cfa8019a4e888ef9ca910372a446de4435", size = 132628 },
+    { url = "https://files.pythonhosted.org/packages/da/d9/f7f9379981e39b8c2511c9e0326d212accacb82f12fbfdc1aa2ce2a7b2b6/multiprocess-0.70.16-py39-none-any.whl", hash = "sha256:a0bafd3ae1b732eac64be2e72038231c1ba97724b60b09400d68f229fcc2fbf3", size = 133351 },
 ]
 
 [[package]]
@@ -3321,8 +3323,6 @@ version = "6.0.0"
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@@ -3824,6 +3824,7 @@ version = "0.4.0"
 source = { editable = "packages/ragbits-core" }
 dependencies = [
     { name = "jinja2" },
+    { name = "litellm" },
     { name = "pydantic" },
     { name = "tomli" },
     { name = "typer" },
@@ -3836,9 +3837,6 @@ chroma = [
 lab = [
     { name = "gradio" },
 ]
-litellm = [
-    { name = "litellm" },
-]
 local = [
     { name = "numpy" },
     { name = "torch" },
@@ -3868,7 +3866,7 @@ requires-dist = [
     { name = "chromadb", marker = "extra == 'chroma'", specifier = "~=0.4.24" },
     { name = "gradio", marker = "extra == 'lab'", specifier = "~=4.44.0" },
     { name = "jinja2", specifier = ">=3.1.4" },
-    { name = "litellm", marker = "extra == 'litellm'", specifier = "~=1.46.0" },
+    { name = "litellm", specifier = "~=1.46.0" },
     { name = "numpy", marker = "extra == 'local'", specifier = "~=1.26.0" },
     { name = "opentelemetry-api", marker = "extra == 'otel'", specifier = "~=1.27.0" },
     { name = "pydantic", specifier = ">=2.9.1" },
@@ -3939,7 +3937,7 @@ dev = [
     { name = "pytest", specifier = "~=8.3.3" },
     { name = "pytest-asyncio", specifier = "~=0.24.0" },
     { name = "pytest-cov", specifier = "~=5.0.0" },
-    { name = "ragbits", extras = ["litellm", "local"] },
+    { name = "ragbits", extras = ["local"] },
 ]
 
 [[package]]
@@ -4030,7 +4028,7 @@ version = "0.1.0"
 source = { virtual = "." }
 dependencies = [
     { name = "ragbits-cli" },
-    { name = "ragbits-core", extra = ["chroma", "lab", "litellm", "local", "otel", "qdrant"] },
+    { name = "ragbits-core", extra = ["chroma", "lab", "local", "otel", "qdrant"] },
     { name = "ragbits-document-search", extra = ["distributed", "gcs", "huggingface"] },
     { name = "ragbits-evaluate", extra = ["relari"] },
     { name = "ragbits-guardrails", extra = ["openai"] },
@@ -4058,7 +4056,7 @@ dev = [
 [package.metadata]
 requires-dist = [
     { name = "ragbits-cli", editable = "packages/ragbits-cli" },
-    { name = "ragbits-core", extras = ["chroma", "lab", "litellm", "local", "otel", "qdrant"], editable = "packages/ragbits-core" },
+    { name = "ragbits-core", extras = ["chroma", "lab", "local", "otel", "qdrant"], editable = "packages/ragbits-core" },
     { name = "ragbits-document-search", extras = ["gcs", "huggingface", "distributed"], editable = "packages/ragbits-document-search" },
     { name = "ragbits-evaluate", extras = ["relari"], editable = "packages/ragbits-evaluate" },
     { name = "ragbits-guardrails", extras = ["openai"], editable = "packages/ragbits-guardrails" },