diff --git a/docs/my-website/docs/providers/openai.md b/docs/my-website/docs/providers/openai.md
index e3f6c267d15..d40ab0676f5 100644
--- a/docs/my-website/docs/providers/openai.md
+++ b/docs/my-website/docs/providers/openai.md
@@ -2,7 +2,7 @@ import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
 
 # OpenAI
-LiteLLM supports OpenAI Chat + Text completion and embedding calls.
+LiteLLM supports OpenAI Chat + Embedding calls.
 
 ### Required API Keys
 
@@ -217,19 +217,6 @@ response = completion(
 
 ```
 
-## OpenAI Text Completion Models / Instruct Models
-
-| Model Name          | Function Call                                      |
-|---------------------|----------------------------------------------------|
-| gpt-3.5-turbo-instruct | `response = completion(model="gpt-3.5-turbo-instruct", messages=messages)` |
-| gpt-3.5-turbo-instruct-0914 | `response = completion(model="gpt-3.5-turbo-instruct-0914", messages=messages)` |
-| text-davinci-003    | `response = completion(model="text-davinci-003", messages=messages)` |
-| ada-001             | `response = completion(model="ada-001", messages=messages)` |
-| curie-001           | `response = completion(model="curie-001", messages=messages)` |
-| babbage-001         | `response = completion(model="babbage-001", messages=messages)` |
-| babbage-002         | `response = completion(model="babbage-002", messages=messages)` |
-| davinci-002         | `response = completion(model="davinci-002", messages=messages)` |
-
 ## Advanced
 
 ### Parallel Function calling
diff --git a/docs/my-website/docs/providers/openai_compatible.md b/docs/my-website/docs/providers/openai_compatible.md
index 09dcd7e4c98..ff0e8570998 100644
--- a/docs/my-website/docs/providers/openai_compatible.md
+++ b/docs/my-website/docs/providers/openai_compatible.md
@@ -5,7 +5,9 @@ import TabItem from '@theme/TabItem';
 
 To call models hosted behind an openai proxy, make 2 changes:
 
-1. Put `openai/` in front of your model name, so litellm knows you're trying to call an openai-compatible endpoint. 
+1. For `/chat/completions`: Put `openai/` in front of your model name, so litellm knows you're trying to call an openai `/chat/completions` endpoint. 
+
+2. For `/completions`: Put `text-completion-openai/` in front of your model name, so litellm knows you're trying to call an openai `/completions` endpoint. 
 
 2. **Do NOT** add anything additional to the base url e.g. `/v1/embedding`. LiteLLM uses the openai-client to make these calls, and that automatically adds the relevant endpoints. 
 
diff --git a/docs/my-website/docs/providers/text_completion_openai.md b/docs/my-website/docs/providers/text_completion_openai.md
new file mode 100644
index 00000000000..842b56aec95
--- /dev/null
+++ b/docs/my-website/docs/providers/text_completion_openai.md
@@ -0,0 +1,163 @@
+# OpenAI (Text Completion)
+
+LiteLLM supports OpenAI text completion models
+
+### Required API Keys
+
+```python
+import os 
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+```
+
+### Usage
+```python
+import os 
+from litellm import completion
+
+os.environ["OPENAI_API_KEY"] = "your-api-key"
+
+# openai call
+response = completion(
+    model = "gpt-3.5-turbo-instruct", 
+    messages=[{ "content": "Hello, how are you?","role": "user"}]
+)
+```
+
+### Usage - LiteLLM Proxy Server
+
+Here's how to call OpenAI models with the LiteLLM Proxy Server
+
+### 1. Save key in your environment
+
+```bash
+export OPENAI_API_KEY=""
+```
+
+### 2. Start the proxy 
+
+<Tabs>
+<TabItem value="config" label="config.yaml">
+
+```yaml
+model_list:
+  - model_name: gpt-3.5-turbo
+    litellm_params:
+      model: openai/gpt-3.5-turbo                          # The `openai/` prefix will call openai.chat.completions.create
+      api_key: os.environ/OPENAI_API_KEY
+  - model_name: gpt-3.5-turbo-instruct
+    litellm_params:
+      model: text-completion-openai/gpt-3.5-turbo-instruct # The `text-completion-openai/` prefix will call openai.completions.create
+      api_key: os.environ/OPENAI_API_KEY
+```
+</TabItem>
+<TabItem value="config-*" label="config.yaml - proxy all OpenAI models">
+
+Use this to add all openai models with one API Key. **WARNING: This will not do any load balancing**
+This means requests to `gpt-4`, `gpt-3.5-turbo` , `gpt-4-turbo-preview` will all go through this route 
+
+```yaml
+model_list:
+  - model_name: "*"             # all requests where model not in your config go to this deployment
+    litellm_params:
+      model: openai/*           # set `openai/` to use the openai route
+      api_key: os.environ/OPENAI_API_KEY
+```
+</TabItem>
+<TabItem value="cli" label="CLI">
+
+```bash
+$ litellm --model gpt-3.5-turbo-instruct
+
+# Server running on http://0.0.0.0:4000
+```
+</TabItem>
+
+</Tabs>
+
+### 3. Test it
+
+
+<Tabs>
+<TabItem value="Curl" label="Curl Request">
+
+```shell
+curl --location 'http://0.0.0.0:4000/chat/completions' \
+--header 'Content-Type: application/json' \
+--data ' {
+      "model": "gpt-3.5-turbo-instruct",
+      "messages": [
+        {
+          "role": "user",
+          "content": "what llm are you"
+        }
+      ]
+    }
+'
+```
+</TabItem>
+<TabItem value="openai" label="OpenAI v1.0.0+">
+
+```python
+import openai
+client = openai.OpenAI(
+    api_key="anything",
+    base_url="http://0.0.0.0:4000"
+)
+
+# request sent to model set on litellm proxy, `litellm --model`
+response = client.chat.completions.create(model="gpt-3.5-turbo-instruct", messages = [
+    {
+        "role": "user",
+        "content": "this is a test request, write a short poem"
+    }
+])
+
+print(response)
+
+```
+</TabItem>
+<TabItem value="langchain" label="Langchain">
+
+```python
+from langchain.chat_models import ChatOpenAI
+from langchain.prompts.chat import (
+    ChatPromptTemplate,
+    HumanMessagePromptTemplate,
+    SystemMessagePromptTemplate,
+)
+from langchain.schema import HumanMessage, SystemMessage
+
+chat = ChatOpenAI(
+    openai_api_base="http://0.0.0.0:4000", # set openai_api_base to the LiteLLM Proxy
+    model = "gpt-3.5-turbo-instruct",
+    temperature=0.1
+)
+
+messages = [
+    SystemMessage(
+        content="You are a helpful assistant that im using to make a test request to."
+    ),
+    HumanMessage(
+        content="test from litellm. tell me why it's amazing in 1 sentence"
+    ),
+]
+response = chat(messages)
+
+print(response)
+```
+</TabItem>
+</Tabs>
+
+
+## OpenAI Text Completion Models / Instruct Models
+
+| Model Name          | Function Call                                      |
+|---------------------|----------------------------------------------------|
+| gpt-3.5-turbo-instruct | `response = completion(model="gpt-3.5-turbo-instruct", messages=messages)` |
+| gpt-3.5-turbo-instruct-0914 | `response = completion(model="gpt-3.5-turbo-instruct-0914", messages=messages)` |
+| text-davinci-003    | `response = completion(model="text-davinci-003", messages=messages)` |
+| ada-001             | `response = completion(model="ada-001", messages=messages)` |
+| curie-001           | `response = completion(model="curie-001", messages=messages)` |
+| babbage-001         | `response = completion(model="babbage-001", messages=messages)` |
+| babbage-002         | `response = completion(model="babbage-002", messages=messages)` |
+| davinci-002         | `response = completion(model="davinci-002", messages=messages)` |
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 7b8a09196ee..bf1ef6f1498 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -115,6 +115,7 @@ const sidebars = {
       },
       items: [
         "providers/openai", 
+        "providers/text_completion_openai",
         "providers/openai_compatible",
         "providers/azure", 
         "providers/azure_ai",