diff --git a/docs/my-website/docs/proxy/custom_prompt_management.md b/docs/my-website/docs/proxy/custom_prompt_management.md
new file mode 100644
index 00000000000..47a6084035f
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+++ b/docs/my-website/docs/proxy/custom_prompt_management.md
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+
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# Custom Prompt Management
+
+Follow this guide to implement custom hooks that allow connecting LiteLLM to your prompt management system.
+
+## Quick Start
+
+### 1. Implement a `CustomLogger` Class
+
+A `CustomLogger` class is used to manage prompts and their parameters. It has a key method to retrieve the chat completion prompt.
+
+**Example `CustomLogger` Class**
+
+Create a new file called `custom_logger.py` and add this code to it:
+
+```python
+from typing import List, Tuple, Optional
+from litellm.integrations.prompt_management_base import PromptManagementBase
+from litellm.integrations.custom_logger import CustomLogger
+from litellm.types import AllMessageValues, StandardCallbackDynamicParams
+
+class CustomPromptManagement(CustomLogger, PromptManagementBase):
+    async def async_get_chat_completion_prompt(
+        self,
+        model: str,
+        messages: List[AllMessageValues],
+        non_default_params: dict,
+        prompt_id: str,
+        prompt_variables: Optional[dict],
+        dynamic_callback_params: StandardCallbackDynamicParams,
+    ) -> Tuple[str, List[AllMessageValues], dict]:
+        """
+        Returns:
+        - model: str - the model to use (can be pulled from prompt management tool)
+        - messages: List[AllMessageValues] - the messages to use (can be pulled from prompt management tool)
+        - non_default_params: dict - update with any optional params (e.g. temperature, max_tokens, etc.) to use (can be pulled from prompt management tool)
+        """
+        return model, messages, non_default_params
+    
+    @property
+    def custom_logger_name(self) -> str:
+        return "custom-prompt-management"
+
+proxy_prompt_management_instance = CustomPromptManagement()
+```
+
+### 2. Configure Your Logger in LiteLLM `config.yaml`
+
+In the configuration file, specify your custom logger class to manage prompts.
+
+- Python Filename: `custom_logger.py`
+- Logger class name: `CustomLogger`
+
+```yaml
+model_list:
+  - model_name: gpt-4
+    litellm_params:
+      model: openai/gpt-4o
+      api_key: os.environ/OPENAI_API_KEY
+
+litellm_settings:
+  callbacks: custom_logger.proxy_prompt_management_instance # sets litellm.callbacks = [proxy_prompt_management_instance]
+
+```
+
+### 3. Start LiteLLM Gateway
+
+<Tabs>
+<TabItem value="docker" label="Docker Run">
+
+Mount your `custom_logger.py` on the LiteLLM Docker container.
+
+```shell
+docker run -d \
+  -p 4000:4000 \
+  -e OPENAI_API_KEY=$OPENAI_API_KEY \
+  --name my-app \
+  -v $(pwd)/my_config.yaml:/app/config.yaml \
+  -v $(pwd)/custom_logger.py:/app/custom_logger.py \
+  my-app:latest \
+  --config /app/config.yaml \
+  --port 4000 \
+  --detailed_debug \
+```
+
+</TabItem>
+
+<TabItem value="py" label="litellm pip">
+
+```shell
+litellm --config config.yaml --detailed_debug
+```
+
+</TabItem>
+</Tabs>
+
+### 4. Test Your Custom Logger
+
+#### Test `"custom-logger"`
+
+**[Langchain, OpenAI SDK Usage Examples](../proxy/user_keys#request-format)**
+
+<Tabs>
+<TabItem label="Retrieve Prompt" value="retrieve-prompt">
+
+Use this to test the retrieval of prompts using your custom logger.
+
+```shell
+curl -i  -X POST http://localhost:4000/v1/chat/completions \
+-H "Content-Type: application/json" \
+-H "Authorization: Bearer sk-1234" \
+-d '{
+    "model": "custom-prompt-management/gpt-4",
+    "messages": [
+        {
+            "role": "user",
+            "content": "Hello, how can I assist you today?"
+        }
+    ],
+    "prompt_id": "1234",
+    "prompt_variables": {
+        "name": "John Doe"
+    }
+}'
+```
+
+```json
+{
+  "id": "chatcmpl-9zREDkBIG20RJB4pMlyutmi1hXQWc",
+  "choices": [
+    {
+      "finish_reason": "stop",
+      "index": 0,
+      "message": {
+        "content": "Hello! How can I help you today?",
+        "role": "assistant"
+      }
+    }
+  ],
+  "created": 1724429701,
+  "model": "gpt-4o-2024-05-13",
+  "object": "chat.completion",
+  "system_fingerprint": "fp_3aa7262c27",
+  "usage": {
+    "completion_tokens": 65,
+    "prompt_tokens": 14,
+    "total_tokens": 79
+  },
+  "service_tier": null
+}
+```
+
+</TabItem>
+</Tabs>
+
+
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 47d69e5d3fa..a92ceb3b05d 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -365,8 +365,12 @@ const sidebars = {
       ],
     },
     {
-      type: "doc",
-      id: "proxy/prompt_management"
+      type: "category",
+      label: "[Beta] Prompt Management",
+      items: [
+        "proxy/prompt_management",
+        "proxy/custom_prompt_management"
+      ],
     },
     {
       type: "category",