diff --git a/docs/my-website/docs/proxy/health.md b/docs/my-website/docs/proxy/health.md
index 6d383fc4161..632702b9146 100644
--- a/docs/my-website/docs/proxy/health.md
+++ b/docs/my-website/docs/proxy/health.md
@@ -41,28 +41,6 @@ litellm --health
 }
 ```
 
-### Background Health Checks 
-
-You can enable model health checks being run in the background, to prevent each model from being queried too frequently via `/health`.
-
-Here's how to use it: 
-1. in the config.yaml add:
-```
-general_settings: 
-  background_health_checks: True # enable background health checks
-  health_check_interval: 300 # frequency of background health checks
-```
-
-2. Start server 
-```
-$ litellm /path/to/config.yaml
-```
-
-3. Query health endpoint: 
-```
-curl --location 'http://0.0.0.0:4000/health'
-```
-
 ### Embedding Models 
 
 We need some way to know if the model is an embedding model when running checks, if you have this in your config, specifying mode it makes an embedding health check
@@ -124,6 +102,41 @@ model_list:
       mode: audio_transcription
 ```
 
+
+### Text to Speech Models 
+
+```yaml
+# OpenAI Text to Speech Models
+  - model_name: tts
+    litellm_params:
+      model: openai/tts-1
+      api_key: "os.environ/OPENAI_API_KEY"
+    model_info:
+      mode: audio_speech
+```
+
+## Background Health Checks 
+
+You can enable model health checks being run in the background, to prevent each model from being queried too frequently via `/health`.
+
+Here's how to use it: 
+1. in the config.yaml add:
+```
+general_settings: 
+  background_health_checks: True # enable background health checks
+  health_check_interval: 300 # frequency of background health checks
+```
+
+2. Start server 
+```
+$ litellm /path/to/config.yaml
+```
+
+3. Query health endpoint: 
+```
+curl --location 'http://0.0.0.0:4000/health'
+```
+
 ### Hide details
 
 The health check response contains details like endpoint URLs, error messages,
diff --git a/litellm/llms/azure.py b/litellm/llms/azure.py
index a2928cf2080..ec143f3fec5 100644
--- a/litellm/llms/azure.py
+++ b/litellm/llms/azure.py
@@ -1864,6 +1864,23 @@ class AzureChatCompletion(BaseLLM):
                 model=model,  # type: ignore
                 prompt=prompt,  # type: ignore
             )
+        elif mode == "audio_transcription":
+            # Get the current directory of the file being run
+            pwd = os.path.dirname(os.path.realpath(__file__))
+            file_path = os.path.join(pwd, "../tests/gettysburg.wav")
+            audio_file = open(file_path, "rb")
+            completion = await client.audio.transcriptions.with_raw_response.create(
+                file=audio_file,
+                model=model,  # type: ignore
+                prompt=prompt,  # type: ignore
+            )
+        elif mode == "audio_speech":
+            # Get the current directory of the file being run
+            completion = await client.audio.speech.with_raw_response.create(
+                model=model,  # type: ignore
+                input=prompt,  # type: ignore
+                voice="alloy",
+            )
         else:
             raise Exception("mode not set")
         response = {}
diff --git a/litellm/llms/openai.py b/litellm/llms/openai.py
index 25e2e518c55..fae8a448ad8 100644
--- a/litellm/llms/openai.py
+++ b/litellm/llms/openai.py
@@ -1,5 +1,6 @@
 import hashlib
 import json
+import os
 import time
 import traceback
 import types
@@ -1870,8 +1871,25 @@ class OpenAIChatCompletion(BaseLLM):
                 model=model,  # type: ignore
                 prompt=prompt,  # type: ignore
             )
+        elif mode == "audio_transcription":
+            # Get the current directory of the file being run
+            pwd = os.path.dirname(os.path.realpath(__file__))
+            file_path = os.path.join(pwd, "../tests/gettysburg.wav")
+            audio_file = open(file_path, "rb")
+            completion = await client.audio.transcriptions.with_raw_response.create(
+                file=audio_file,
+                model=model,  # type: ignore
+                prompt=prompt,  # type: ignore
+            )
+        elif mode == "audio_speech":
+            # Get the current directory of the file being run
+            completion = await client.audio.speech.with_raw_response.create(
+                model=model,  # type: ignore
+                input=prompt,  # type: ignore
+                voice="alloy",
+            )
         else:
-            raise Exception("mode not set")
+            raise ValueError("mode not set, passed in mode: " + mode)
         response = {}
 
         if completion is None or not hasattr(completion, "headers"):
diff --git a/litellm/proxy/proxy_config.yaml b/litellm/proxy/proxy_config.yaml
index 0e3f0826e27..bd8f5bfd0a3 100644
--- a/litellm/proxy/proxy_config.yaml
+++ b/litellm/proxy/proxy_config.yaml
@@ -8,6 +8,12 @@ model_list:
     litellm_params:
       model: fireworks_ai/accounts/fireworks/models/llama-v3-70b-instruct
       api_key: "os.environ/FIREWORKS"
+  - model_name: tts
+    litellm_params:
+      model: openai/tts-1
+      api_key: "os.environ/OPENAI_API_KEY"
+    model_info:
+      mode: audio_speech
 general_settings: 
   master_key: sk-1234
   alerting: ["slack"]