diff --git a/coverage.xml b/coverage.xml
index 8e6ca91d8e505ae98209a2c0ff3add414c2095e8..86142ca3e58478ffa8a3df0a7b8db9679826b3f8 100644
--- a/coverage.xml
+++ b/coverage.xml
@@ -1,5 +1,5 @@
 <?xml version="1.0" ?>
-<coverage version="7.3.2" timestamp="1702463592393" lines-valid="334" lines-covered="334" line-rate="1" branches-covered="0" branches-valid="0" branch-rate="0" complexity="0">
+<coverage version="7.3.2" timestamp="1702485028371" lines-valid="344" lines-covered="344" line-rate="1" branches-covered="0" branches-valid="0" branch-rate="0" complexity="0">
 	<!-- Generated by coverage.py: https://coverage.readthedocs.io/en/7.3.2 -->
 	<!-- Based on https://raw.githubusercontent.com/cobertura/web/master/htdocs/xml/coverage-04.dtd -->
 	<sources>
@@ -353,27 +353,37 @@
 						<line number="8" hits="1"/>
 						<line number="11" hits="1"/>
 						<line number="12" hits="1"/>
-						<line number="13" hits="1"/>
 						<line number="14" hits="1"/>
-						<line number="15" hits="1"/>
-						<line number="16" hits="1"/>
-						<line number="18" hits="1"/>
+						<line number="19" hits="1"/>
+						<line number="20" hits="1"/>
+						<line number="21" hits="1"/>
 						<line number="22" hits="1"/>
 						<line number="23" hits="1"/>
+						<line number="24" hits="1"/>
+						<line number="25" hits="1"/>
 						<line number="26" hits="1"/>
-						<line number="27" hits="1"/>
 						<line number="28" hits="1"/>
 						<line number="29" hits="1"/>
 						<line number="30" hits="1"/>
 						<line number="31" hits="1"/>
 						<line number="32" hits="1"/>
-						<line number="33" hits="1"/>
-						<line number="34" hits="1"/>
 						<line number="35" hits="1"/>
 						<line number="36" hits="1"/>
 						<line number="37" hits="1"/>
+						<line number="38" hits="1"/>
 						<line number="39" hits="1"/>
 						<line number="40" hits="1"/>
+						<line number="41" hits="1"/>
+						<line number="42" hits="1"/>
+						<line number="43" hits="1"/>
+						<line number="44" hits="1"/>
+						<line number="45" hits="1"/>
+						<line number="46" hits="1"/>
+						<line number="47" hits="1"/>
+						<line number="49" hits="1"/>
+						<line number="50" hits="1"/>
+						<line number="52" hits="1"/>
+						<line number="53" hits="1"/>
 					</lines>
 				</class>
 			</classes>
diff --git a/poetry.lock b/poetry.lock
index b459e6bab91d1777c8b70090352de26bc1ab70e3..aca05603153b4290b623387f1c4eed3112183f35 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -110,6 +110,27 @@ files = [
 [package.dependencies]
 frozenlist = ">=1.1.0"
 
+[[package]]
+name = "anyio"
+version = "4.1.0"
+description = "High level compatibility layer for multiple asynchronous event loop implementations"
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "anyio-4.1.0-py3-none-any.whl", hash = "sha256:56a415fbc462291813a94528a779597226619c8e78af7de0507333f700011e5f"},
+    {file = "anyio-4.1.0.tar.gz", hash = "sha256:5a0bec7085176715be77df87fc66d6c9d70626bd752fcc85f57cdbee5b3760da"},
+]
+
+[package.dependencies]
+exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
+idna = ">=2.8"
+sniffio = ">=1.1"
+
+[package.extras]
+doc = ["Sphinx (>=7)", "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", "uvloop (>=0.17)"]
+trio = ["trio (>=0.23)"]
+
 [[package]]
 name = "appnope"
 version = "0.1.3"
@@ -584,6 +605,17 @@ files = [
     {file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
 ]
 
+[[package]]
+name = "distro"
+version = "1.8.0"
+description = "Distro - an OS platform information API"
+optional = false
+python-versions = ">=3.6"
+files = [
+    {file = "distro-1.8.0-py3-none-any.whl", hash = "sha256:99522ca3e365cac527b44bde033f64c6945d90eb9f769703caaec52b09bbd3ff"},
+    {file = "distro-1.8.0.tar.gz", hash = "sha256:02e111d1dc6a50abb8eed6bf31c3e48ed8b0830d1ea2a1b78c61765c2513fdd8"},
+]
+
 [[package]]
 name = "exceptiongroup"
 version = "1.2.0"
@@ -628,42 +660,42 @@ tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipyth
 
 [[package]]
 name = "fastavro"
-version = "1.9.0"
+version = "1.9.1"
 description = "Fast read/write of AVRO files"
 optional = false
 python-versions = ">=3.8"
 files = [
-    {file = "fastavro-1.9.0-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:00826f295f290ba95f1f68d5c36970b4db7f9245a1b1a33dd9d464a382733894"},
-    {file = "fastavro-1.9.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3ff7ac97cfe07ad90fdcca3ea90b14461ba8831bc45f02e13440b6c634f291c8"},
-    {file = "fastavro-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c251e7122b436458b8e1151c0613d6dac2b5edb6acbbc35de3b4c5f6ebb80b7"},
-    {file = "fastavro-1.9.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:35a32f5d33f91fcb7e8daf7afc82a75c8d7c774cf4d93937b2ad487d28f3f707"},
-    {file = "fastavro-1.9.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:228e7c525ff15a9f21f1adb2097ec87888933ef5c8a682c2f1d5d83796e4dd42"},
-    {file = "fastavro-1.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:d694bb1c2b20f1703bcb698a74f58f0f503eda8f49cb6d46209c8f3715098348"},
-    {file = "fastavro-1.9.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0f044b71d8b0ba6bbd6166be6836c3caeadd26eeaabee70b6ac7c6a9b884f6bf"},
-    {file = "fastavro-1.9.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:172d6d5c186ba51ec6eaa98eaaadc8e859b5a56862ae724413424a858619da7f"},
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-    {file = "fastavro-1.9.0-cp312-cp312-macosx_10_9_universal2.whl", hash = "sha256:1cea6c2508dfb06d65cddb5b90bd6a79d3e481f1d80adc5f6ce6e3dacb4a8773"},
-    {file = "fastavro-1.9.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8629d4367373db7d195672834c59c86e2642172bbebd5ec6d83797b39ac4ef01"},
-    {file = "fastavro-1.9.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f45dfc29de276b509c8dbbfa6076ba6562be055c877928d4ffa1cf35b8ec59dc"},
-    {file = "fastavro-1.9.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:cc3b2de071e4d6de19974ffd328e63f7c85de2348d614222238fda2b35578b63"},
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+    {file = "fastavro-1.9.1-cp310-cp310-macosx_11_0_x86_64.whl", hash = "sha256:de181b2e67f1f42f0c15f87ff530dda88cfe2efc91653b6d38d0aaf4c8800bbf"},
+    {file = "fastavro-1.9.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:84616dae53581733aac1161685d35c269922cee79170d8a1f7dbc56c8e2c6a95"},
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+    {file = "fastavro-1.9.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:70df5a6428e5c60b08d92a3cf955d2c658e0460059654b0490c908d429bcf332"},
+    {file = "fastavro-1.9.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:47f66f8282f7b2b70d4edc1c1853c154a9db14693a20fc1fa78859eb091c6beb"},
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+    {file = "fastavro-1.9.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3d8037a800914acfd2d17894accfdd9ba96e316bce173e3ac2bc36c9d6f91adb"},
+    {file = "fastavro-1.9.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f5a6d15fd3783165113b8292058f06c555fecb7b0bbc0dfd391dc6f320675157"},
+    {file = "fastavro-1.9.1-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:46e69d9fe30ccba8a1a22c2ed2e88deb4ae1ce42f47495f59bd1cac60c3f3e75"},
+    {file = "fastavro-1.9.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:a06ae6b12b4dfe8fa6c84019a949b44067bf5d7fb051f7101a9093dc2c8c7631"},
+    {file = "fastavro-1.9.1-cp311-cp311-win_amd64.whl", hash = "sha256:47f18c4f3f5a945c32d386402cf007f700433fd1b9b6af78eb35ee09a29ba8ad"},
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+    {file = "fastavro-1.9.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2b5ebcf4ea3b50cfb80c7cd363e57daab8c2662b85de9ced838e32b5a46a106f"},
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+    {file = "fastavro-1.9.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8ff2184d82788ff6d986372e72add561700ccdedea13b649593604d078dbf674"},
+    {file = "fastavro-1.9.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:13ae31bb1b9ee69109e4032946d94ab92c1f1c49194917e64bb7f5923ba4f8fd"},
+    {file = "fastavro-1.9.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a9f549ee83ae4df5bc952552caad2011272d20a9fb0cddd50ff3fa1edd8d11a9"},
+    {file = "fastavro-1.9.1-cp38-cp38-win_amd64.whl", hash = "sha256:b0265fbec0a268baadf3482eb92d0a4f644f68f8dc266a19a0440b7a28987564"},
+    {file = "fastavro-1.9.1-cp39-cp39-macosx_11_0_x86_64.whl", hash = "sha256:0533a430aafe75bc02fe66391361a5f374f08375a89ec93365cb15c016e7f911"},
+    {file = "fastavro-1.9.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8dc30d9fa7592b0a652911466a7898547277e7f054e23f95fc5d0e8b88788174"},
+    {file = "fastavro-1.9.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b786f872d5caa34b8c18f2ed73efd99b8b8e1c404342a4242cf3ad7344bdd46c"},
+    {file = "fastavro-1.9.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:9a9a7213d80eb5e47ffb471c089cfbc19ec5b2390b75f6ef2e09e8678c0f7aeb"},
+    {file = "fastavro-1.9.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0b9e9cb05500ed8578ce614a5df4b2b525ded2674320725d405435925addd446"},
+    {file = "fastavro-1.9.1-cp39-cp39-win_amd64.whl", hash = "sha256:abfef36fdd2cdbf3b7e7551f6506b908f24e241eebc2ab14e7ff6862679fd1ef"},
+    {file = "fastavro-1.9.1.tar.gz", hash = "sha256:f37011d66de8ba81b26760db0478009a14c08ebfd34269b3390abfd4616b308f"},
 ]
 
 [package.extras]
@@ -742,6 +774,62 @@ files = [
     {file = "frozenlist-1.4.0.tar.gz", hash = "sha256:09163bdf0b2907454042edb19f887c6d33806adc71fbd54afc14908bfdc22251"},
 ]
 
+[[package]]
+name = "h11"
+version = "0.14.0"
+description = "A pure-Python, bring-your-own-I/O implementation of HTTP/1.1"
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "h11-0.14.0-py3-none-any.whl", hash = "sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"},
+    {file = "h11-0.14.0.tar.gz", hash = "sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d"},
+]
+
+[[package]]
+name = "httpcore"
+version = "1.0.2"
+description = "A minimal low-level HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
+    {file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
+]
+
+[package.dependencies]
+certifi = "*"
+h11 = ">=0.13,<0.15"
+
+[package.extras]
+asyncio = ["anyio (>=4.0,<5.0)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+trio = ["trio (>=0.22.0,<0.23.0)"]
+
+[[package]]
+name = "httpx"
+version = "0.25.2"
+description = "The next generation HTTP client."
+optional = false
+python-versions = ">=3.8"
+files = [
+    {file = "httpx-0.25.2-py3-none-any.whl", hash = "sha256:a05d3d052d9b2dfce0e3896636467f8a5342fb2b902c819428e1ac65413ca118"},
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+[package.dependencies]
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+certifi = "*"
+httpcore = "==1.*"
+idna = "*"
+sniffio = "*"
+
+[package.extras]
+brotli = ["brotli", "brotlicffi"]
+cli = ["click (==8.*)", "pygments (==2.*)", "rich (>=10,<14)"]
+http2 = ["h2 (>=3,<5)"]
+socks = ["socksio (==1.*)"]
+
 [[package]]
 name = "idna"
 version = "3.6"
@@ -755,13 +843,13 @@ files = [
 
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 name = "importlib-metadata"
-version = "6.9.0"
+version = "6.11.0"
 description = "Read metadata from Python packages"
 optional = false
 python-versions = ">=3.8"
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@@ -1195,25 +1283,26 @@ files = [
 
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-version = "0.28.1"
-description = "Python client library for the OpenAI API"
+version = "1.3.9"
+description = "The official Python library for the openai API"
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-requests = ">=2.20"
-tqdm = "*"
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+distro = ">=1.7.0,<2"
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+pydantic = ">=1.9.0,<3"
+sniffio = "*"
+tqdm = ">4"
+typing-extensions = ">=4.5,<5"
 
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+datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
 
 [[package]]
 name = "packaging"
@@ -1243,13 +1332,13 @@ testing = ["docopt", "pytest (<6.0.0)"]
 
 [[package]]
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-version = "0.11.2"
+version = "0.12.1"
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-python-versions = ">=3.7"
+python-versions = ">=3.8"
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@@ -1268,13 +1357,13 @@ ptyprocess = ">=0.5"
 
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 [package.dependencies]
@@ -1284,19 +1373,20 @@ numpy = ">=1.21.5,<=1.25.2"
 wget = ">=3.2,<4.0"
 
 [package.extras]
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+version = "4.1.0"
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@@ -1320,13 +1410,13 @@ testing = ["pytest", "pytest-benchmark"]
 
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 [[package]]
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 ]
 
+[[package]]
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+description = "Sniff out which async library your code is running under"
+optional = false
+python-versions = ">=3.7"
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 [[package]]
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 version = "0.6.3"
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 [[package]]
 name = "typing-extensions"
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 ]
 
 [[package]]
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+version = "1.9.4"
 description = "Yet another URL library"
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 python-versions = ">=3.7"
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+    {file = "yarl-1.9.4.tar.gz", hash = "sha256:566db86717cf8080b99b58b083b773a908ae40f06681e87e589a976faf8246bf"},
 ]
 
 [package.dependencies]
@@ -2102,4 +2203,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.10"
-content-hash = "58bf19052f05863cb4623e85a73de5758d581ff539cfb69f0920e57f6cb035d0"
+content-hash = "87d4cfd7041706e35c8a1f7c0d798ecd34dd47ca212af8b4f0f3b470770d6fa3"
diff --git a/pyproject.toml b/pyproject.toml
index be6a967d60c696cf66f69417441a850093f13de2..99e423979dc7a7035103753e773b460876e860c2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,7 +14,7 @@ readme = "README.md"
 [tool.poetry.dependencies]
 python = "^3.10"
 pydantic = "^1.8.2"
-openai = "^0.28.1"
+openai = "^1.0.0"
 cohere = "^4.32"
 numpy = "^1.25.2"
 pinecone-text = "^0.7.0"
diff --git a/semantic_router/encoders/openai.py b/semantic_router/encoders/openai.py
index 858e5b7ad8faa17bd687f4aa42c26770f814fd99..03e7b7835dad55ca88d25495309bbe1d7e64a3aa 100644
--- a/semantic_router/encoders/openai.py
+++ b/semantic_router/encoders/openai.py
@@ -2,39 +2,52 @@ import os
 from time import sleep
 
 import openai
-from openai.error import OpenAIError, RateLimitError, ServiceUnavailableError
+from openai import OpenAIError
 
 from semantic_router.encoders import BaseEncoder
 from semantic_router.utils.logger import logger
 
 
 class OpenAIEncoder(BaseEncoder):
-    def __init__(self, name: str, openai_api_key: str | None = None):
+    client: openai.Client | None
+
+    def __init__(
+        self,
+        name: str = os.getenv("OPENAI_MODEL_NAME", "text-embedding-ada-002"),
+        openai_api_key: str | None = None,
+    ):
         super().__init__(name=name)
         openai.api_key = openai_api_key or os.getenv("OPENAI_API_KEY")
         if openai.api_key is None:
             raise ValueError("OpenAI API key cannot be 'None'.")
+        try:
+            self.client = openai.Client()
+        except Exception as e:
+            raise ValueError(f"OpenAI API client failed to initialize. Error: {e}")
 
     def __call__(self, docs: list[str]) -> list[list[float]]:
-        """Encode a list of texts using the OpenAI API. Returns a list of
-        vector embeddings.
-        """
-        res = None
+        if self.client is None:
+            raise ValueError("OpenAI client is not initialized.")
+        embeds = None
         error_message = ""
 
-        # exponential backoff
-        for j in range(5):
+        # Exponential backoff
+        for j in range(3):
             try:
                 logger.info(f"Encoding {len(docs)} documents...")
-                res = openai.Embedding.create(input=docs, engine=self.name)
-                if isinstance(res, dict) and "data" in res:
+                embeds = self.client.embeddings.create(input=docs, model=self.name)
+                if isinstance(embeds, dict) and "data" in embeds:
                     break
-            except (RateLimitError, ServiceUnavailableError, OpenAIError) as e:
-                logger.warning(f"Retrying in {2**j} seconds...")
+            except OpenAIError as e:
                 sleep(2**j)
                 error_message = str(e)
-        if not res or not isinstance(res, dict) or "data" not in res:
-            raise ValueError(f"OpenAI API call failed. Error: {error_message}")
+                logger.warning(f"Retrying in {2**j} seconds...")
+            except Exception as e:
+                logger.error(f"OpenAI API call failed. Error: {error_message}")
+                raise ValueError(f"OpenAI API call failed. Error: {e}")
+
+        if not embeds or not isinstance(embeds, dict) or "data" not in embeds:
+            raise ValueError(f"No embeddings returned. Error: {error_message}")
 
-        embeds = [r["embedding"] for r in res["data"]]
-        return embeds
+        embeddings = [r["embedding"] for r in embeds["data"]]
+        return embeddings
diff --git a/tests/unit/encoders/test_openai.py b/tests/unit/encoders/test_openai.py
index 23883fcc3581896b765e771e7c67f3a016603a1f..f67bce1e3137d8e9fa0cf7db0042bfa404cbc9d3 100644
--- a/tests/unit/encoders/test_openai.py
+++ b/tests/unit/encoders/test_openai.py
@@ -1,122 +1,84 @@
-import openai
 import pytest
-from openai.error import RateLimitError
+from openai import OpenAIError
 
 from semantic_router.encoders import OpenAIEncoder
 
 
 @pytest.fixture
 def openai_encoder(mocker):
-    mocker.patch("openai.Embedding.create")
-    return OpenAIEncoder(name="test-engine", openai_api_key="test_api_key")
+    mocker.patch("openai.Client")
+    return OpenAIEncoder(openai_api_key="test_api_key")
 
 
 class TestOpenAIEncoder:
-    def test_initialization_with_api_key(self, openai_encoder):
-        assert openai.api_key == "test_api_key", "API key should be set correctly"
-        assert openai_encoder.name == "test-engine", "Engine name not set correctly"
-
-    def test_initialization_without_api_key(self, mocker, monkeypatch):
-        monkeypatch.delenv("OPENAI_API_KEY", raising=False)
-        mocker.patch("openai.Embedding.create")
-        with pytest.raises(ValueError):
-            OpenAIEncoder(name="test-engine")
-
-    def test_call_method_success(self, openai_encoder, mocker):
-        mocker.patch(
-            "openai.Embedding.create",
-            return_value={"data": [{"embedding": [0.1, 0.2, 0.3]}]},
+    def test_openai_encoder_init_success(self, mocker):
+        mocker.patch("os.getenv", return_value="fake-api-key")
+        encoder = OpenAIEncoder()
+        assert encoder.client is not None
+
+    def test_openai_encoder_init_no_api_key(self, mocker):
+        mocker.patch("os.getenv", return_value=None)
+        with pytest.raises(ValueError) as e:
+            OpenAIEncoder()
+        assert "OpenAI API key cannot be 'None'." in str(e.value)
+
+    def test_openai_encoder_call_uninitialized_client(self, openai_encoder):
+        # Set the client to None to simulate an uninitialized client
+        openai_encoder.client = None
+        with pytest.raises(ValueError) as e:
+            openai_encoder(["test document"])
+        assert "OpenAI client is not initialized." in str(e.value)
+
+    def test_openai_encoder_init_exception(self, mocker):
+        mocker.patch("os.getenv", return_value="fake-api-key")
+        mocker.patch("openai.Client", side_effect=Exception("Initialization error"))
+        with pytest.raises(ValueError) as e:
+            OpenAIEncoder()
+        assert (
+            "OpenAI API client failed to initialize. Error: Initialization error"
+            in str(e.value)
         )
 
-        result = openai_encoder(["test"])
-        assert isinstance(result, list), "Result should be a list"
-        assert len(result) == 1 and len(result[0]) == 3, "Result list size is incorrect"
-
-    def test_call_method_rate_limit_error__raises_value_error_after_max_retries(
-        self, openai_encoder, mocker
-    ):
-        mocker.patch("semantic_router.encoders.openai.sleep")
-        mocker.patch(
-            "openai.Embedding.create",
-            side_effect=RateLimitError(message="rate limit exceeded", http_status=429),
+    def test_openai_encoder_call_success(self, openai_encoder, mocker):
+        mocker.patch("os.getenv", return_value="fake-api-key")
+        mocker.patch.object(
+            openai_encoder.client.embeddings,
+            "create",
+            return_value={"data": [{"embedding": [0.1, 0.2]}]},
         )
-
-        with pytest.raises(ValueError):
-            openai_encoder(["test"])
-
-    def test_call_method_failure(self, openai_encoder, mocker):
-        mocker.patch("openai.Embedding.create", return_value={})
-
-        with pytest.raises(ValueError):
-            openai_encoder(["test"])
-
-    def test_call_method_rate_limit_error__exponential_backoff_single_retry(
-        self, openai_encoder, mocker
-    ):
-        mock_sleep = mocker.patch("semantic_router.encoders.openai.sleep")
-        mocker.patch(
-            "openai.Embedding.create",
-            side_effect=[
-                RateLimitError("rate limit exceeded"),
-                {"data": [{"embedding": [1, 2, 3]}]},
-            ],
+        embeddings = openai_encoder(["test document"])
+        assert embeddings == [[0.1, 0.2]]
+
+    def test_openai_encoder_call_with_retries(self, openai_encoder, mocker):
+        mocker.patch("os.getenv", return_value="fake-api-key")
+        mocker.patch("time.sleep", return_value=None)  # To speed up the test
+        mocker.patch.object(
+            openai_encoder.client.embeddings,
+            "create",
+            side_effect=OpenAIError("Test error"),
         )
-
-        openai_encoder(["sample text"])
-
-        mock_sleep.assert_called_once_with(1)  # 2**0
-
-    def test_call_method_rate_limit_error__exponential_backoff_multiple_retries(
-        self, openai_encoder, mocker
-    ):
-        mock_sleep = mocker.patch("semantic_router.encoders.openai.sleep")
-        mocker.patch(
-            "openai.Embedding.create",
-            side_effect=[
-                RateLimitError("rate limit exceeded"),
-                RateLimitError("rate limit exceeded"),
-                {"data": [{"embedding": [1, 2, 3]}]},
-            ],
+        with pytest.raises(ValueError) as e:
+            openai_encoder(["test document"])
+        assert "No embeddings returned. Error: Test error" in str(e.value)
+
+    def test_openai_encoder_call_failure_non_openai_error(self, openai_encoder, mocker):
+        mocker.patch("os.getenv", return_value="fake-api-key")
+        mocker.patch("time.sleep", return_value=None)  # To speed up the test
+        mocker.patch.object(
+            openai_encoder.client.embeddings,
+            "create",
+            side_effect=Exception("Non-OpenAIError"),
         )
-
-        openai_encoder(["sample text"])
-
-        assert mock_sleep.call_count == 2
-        mock_sleep.assert_any_call(1)  # 2**0
-        mock_sleep.assert_any_call(2)  # 2**1
-
-    def test_call_method_rate_limit_error__exponential_backoff_max_retries_exceeded(
-        self, openai_encoder, mocker
-    ):
-        mock_sleep = mocker.patch("semantic_router.encoders.openai.sleep")
-        mocker.patch(
-            "openai.Embedding.create", side_effect=RateLimitError("rate limit exceeded")
+        with pytest.raises(ValueError) as e:
+            openai_encoder(["test document"])
+        assert "OpenAI API call failed. Error: Non-OpenAIError" in str(e.value)
+
+    def test_openai_encoder_call_successful_retry(self, openai_encoder, mocker):
+        mocker.patch("os.getenv", return_value="fake-api-key")
+        mocker.patch("time.sleep", return_value=None)  # To speed up the test
+        responses = [OpenAIError("Test error"), {"data": [{"embedding": [0.1, 0.2]}]}]
+        mocker.patch.object(
+            openai_encoder.client.embeddings, "create", side_effect=responses
         )
-
-        with pytest.raises(ValueError):
-            openai_encoder(["sample text"])
-
-        assert mock_sleep.call_count == 5  # Assuming 5 retries
-        mock_sleep.assert_any_call(1)  # 2**0
-        mock_sleep.assert_any_call(2)  # 2**1
-        mock_sleep.assert_any_call(4)  # 2**2
-        mock_sleep.assert_any_call(8)  # 2**3
-        mock_sleep.assert_any_call(16)  # 2**4
-
-    def test_call_method_rate_limit_error__exponential_backoff_successful(
-        self, openai_encoder, mocker
-    ):
-        mock_sleep = mocker.patch("semantic_router.encoders.openai.sleep")
-        mocker.patch(
-            "openai.Embedding.create",
-            side_effect=[
-                RateLimitError("rate limit exceeded"),
-                RateLimitError("rate limit exceeded"),
-                {"data": [{"embedding": [1, 2, 3]}]},
-            ],
-        )
-
-        embeddings = openai_encoder(["sample text"])
-
-        assert mock_sleep.call_count == 2
-        assert embeddings == [[1, 2, 3]]
+        embeddings = openai_encoder(["test document"])
+        assert embeddings == [[0.1, 0.2]]
diff --git a/walkthrough.ipynb b/walkthrough.ipynb
index d31a88dc0da38dec04e019100bfc28815adf7906..a4265e5a1dfc9b2dd5060d54b54add8e4cc67e6d 100644
--- a/walkthrough.ipynb
+++ b/walkthrough.ipynb
@@ -128,7 +128,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "from semantic_router.router import RouteLayer\n",
+    "from semantic_router.layer import RouteLayer\n",
     "\n",
     "dl = RouteLayer(encoder=encoder, routes=routes)"
    ]