diff --git a/poetry.lock b/poetry.lock
index bf0ed5a..84753ab 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -143,6 +143,17 @@ files = [
     {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"},
 ]
 
+[[package]]
+name = "docstring-parser"
+version = "0.16"
+description = "Parse Python docstrings in reST, Google and Numpydoc format"
+optional = false
+python-versions = ">=3.6,<4.0"
+files = [
+    {file = "docstring_parser-0.16-py3-none-any.whl", hash = "sha256:bf0a1387354d3691d102edef7ec124f219ef639982d096e26e3b60aeffa90637"},
+    {file = "docstring_parser-0.16.tar.gz", hash = "sha256:538beabd0af1e2db0146b6bd3caa526c35a34d61af9fd2887f3a8a27a739aa6e"},
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.0"
@@ -213,24 +224,26 @@ requests = ["requests (>=2.20.0,<3.0.0.dev0)"]
 
 [[package]]
 name = "google-cloud-aiplatform"
-version = "1.44.0"
+version = "1.46.0"
 description = "Vertex AI API client library"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "google-cloud-aiplatform-1.44.0.tar.gz", hash = "sha256:65876e8080ed3c4b3ec79c9a4090faab558fc369e3e4e75fa7a43d9813680cb2"},
-    {file = "google_cloud_aiplatform-1.44.0-py2.py3-none-any.whl", hash = "sha256:3670d961ce8c3da3d4bc3451b0e73221a461ebc7805ca16a51df99cbfd3785b0"},
+    {file = "google-cloud-aiplatform-1.46.0.tar.gz", hash = "sha256:9eeefcd34dbad2a1ade830d025154189d257e8dcfea45771dcac6e34a2783782"},
+    {file = "google_cloud_aiplatform-1.46.0-py2.py3-none-any.whl", hash = "sha256:a30a64f8bcefa0646340cf57abca192bb9ca9c456a47b842651a9564bba0534a"},
 ]
 
 [package.dependencies]
+docstring-parser = "<1"
 google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.8.dev0,<3.0.0dev", extras = ["grpc"]}
 google-auth = ">=2.14.1,<3.0.0dev"
-google-cloud-bigquery = ">=1.15.0,<4.0.0dev"
+google-cloud-bigquery = ">=1.15.0,<3.20.0 || >3.20.0,<4.0.0dev"
 google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
 google-cloud-storage = ">=1.32.0,<3.0.0dev"
 packaging = ">=14.3"
 proto-plus = ">=1.22.0,<2.0.0dev"
 protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
+pydantic = "<3"
 shapely = "<3.0.0dev"
 
 [package.extras]
@@ -246,6 +259,7 @@ prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<0.103.1)", "httpx (>=0.23.
 preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
 private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
 ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)"]
+ray-testing = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "immutabledict", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pytest-xdist", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "ray[train] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "scikit-learn", "tensorflow", "torch (>=2.0.0,<2.1.0)", "xgboost", "xgboost-ray"]
 tensorboard = ["tensorflow (>=2.3.0,<2.15.0)"]
 testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "immutabledict", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pandas (>=1.0.0,<2.2.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5.dev0 || >2.9.0,!=2.9.1,!=2.9.2,<=2.9.3)", "ray[default] (>=2.5,<=2.9.3)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (==2.13.0)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost", "xgboost-ray"]
 vizier = ["google-vizier (>=0.1.6)"]
@@ -253,13 +267,13 @@ xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
 
 [[package]]
 name = "google-cloud-bigquery"
-version = "3.19.0"
+version = "3.20.1"
 description = "Google BigQuery API client library"
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "google-cloud-bigquery-3.19.0.tar.gz", hash = "sha256:8e311dae49768e1501fcdc5e916bff4b7e169471e5707919f4a6f78a02b3b5a6"},
-    {file = "google_cloud_bigquery-3.19.0-py2.py3-none-any.whl", hash = "sha256:c6b8850247a4b132066e49f6e45f850c22824482838688d744a4398eea1120ed"},
+    {file = "google-cloud-bigquery-3.20.1.tar.gz", hash = "sha256:318aa3abab5f1900ee24f63ba8bd02b9cdafaa942d738b4dc14a4ef2cc2d925f"},
+    {file = "google_cloud_bigquery-3.20.1-py2.py3-none-any.whl", hash = "sha256:d3e62fe61138c658b8853c402e2d8fb9346c84e602e21e3a26584be10fc5b0a4"},
 ]
 
 [package.dependencies]
@@ -595,105 +609,105 @@ i18n = ["Babel (>=2.7)"]
 
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-version = "0.25.0"
+version = "0.25.1"
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 optional = false
 python-versions = ">=3.8"
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 ]
 
 [package.extras]
@@ -1347,13 +1361,13 @@ files = [
 
 [[package]]
 name = "typing-extensions"
-version = "4.10.0"
+version = "4.11.0"
 description = "Backported and Experimental Type Hints for Python 3.8+"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"},
-    {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"},
+    {file = "typing_extensions-4.11.0-py3-none-any.whl", hash = "sha256:c1f94d72897edaf4ce775bb7558d5b79d8126906a14ea5ed1635921406c0387a"},
+    {file = "typing_extensions-4.11.0.tar.gz", hash = "sha256:83f085bd5ca59c80295fc2a82ab5dac679cbe02b9f33f7d83af68e241bea51b0"},
 ]
 
 [[package]]
diff --git a/pyproject.toml b/pyproject.toml
index 6ae6899..43f02e5 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "modelsmith"
-version = "0.2.3"
+version = "0.3.0"
 description = "Get Pydantic models and Python types as LLM responses from Google Vertex AI models."
 authors = ["Christo Olivier <mail@christoolivier.com>"]
 maintainers = ["Christo Olivier <mail@christoolivier.com>"]
diff --git a/src/modelsmith/__init__.py b/src/modelsmith/__init__.py
index 632f16b..e7eb036 100644
--- a/src/modelsmith/__init__.py
+++ b/src/modelsmith/__init__.py
@@ -1,3 +1,12 @@
+from .exceptions import ModelNotDerivedError, PatternNotFound
 from .forge import Forge
+from .language_model import LanguageModelWrapper
+from .prompt import Prompt
 
-__all__ = ["Forge"]
+__all__ = [
+    "Forge",
+    "LanguageModelWrapper",
+    "Prompt",
+    "ModelNotDerivedError",
+    "PatternNotFound",
+]
diff --git a/src/modelsmith/exceptions.py b/src/modelsmith/exceptions.py
index 62a40d5..5cd64d2 100644
--- a/src/modelsmith/exceptions.py
+++ b/src/modelsmith/exceptions.py
@@ -13,18 +13,18 @@ def __str__(self) -> str:
         return ", ".join(str(e) for e in self.exceptions)
 
 
-class PatternNotFound(Exception):
+class ModelNotDerivedError(Exception):
     """
-    Exception used when a pattern being searched for has not been found.
+    Exception raised when a pydantic model could not be created from the response of
+    the LLM.
     """
 
     pass
 
 
-class ModelNotDerivedError(Exception):
+class PatternNotFound(Exception):
     """
-    Exception raised when a pydantic model could not be created from the response of
-    the LLM.
+    Exception used when a pattern being searched for has not been found.
     """
 
     pass
diff --git a/tests/test_forge.py b/tests/test_forge.py
index a59f6a8..100ce3a 100644
--- a/tests/test_forge.py
+++ b/tests/test_forge.py
@@ -2,8 +2,7 @@
 from typing import Any
 
 import pytest
-from modelsmith.exceptions import ModelNotDerivedError
-from modelsmith.forge import Forge
+from modelsmith import Forge, ModelNotDerivedError
 from vertexai.generative_models import GenerativeModel
 from vertexai.language_models import ChatModel, TextGenerationModel
 
diff --git a/tests/test_prompt.py b/tests/test_prompt.py
index 268bb20..0838c72 100644
--- a/tests/test_prompt.py
+++ b/tests/test_prompt.py
@@ -1,6 +1,6 @@
 import inspect
 
-from modelsmith.prompt import Prompt
+from modelsmith import Prompt
 
 
 def test_render_prompt_user_input() -> None: