diff --git a/docs/my-website/docs/secret.md b/docs/my-website/docs/secret.md
new file mode 100644
index 000000000..39ee09854
--- /dev/null
+++ b/docs/my-website/docs/secret.md
@@ -0,0 +1,97 @@
+# Secret Manager
+LiteLLM supports reading secrets from Azure Key Vault and Infisical
+
+- [Azure Key Vault](#azure-key-vault)
+- [Infisical Secret Manager](#infisical-secret-manager)
+- [.env Files](#env-files)
+
+## Azure Key Vault
+
+### Quick Start
+
+```python 
+### Instantiate Azure Key Vault Client ###
+from azure.keyvault.secrets import SecretClient
+from azure.identity import ClientSecretCredential
+
+# Set your Azure Key Vault URI
+KVUri = os.getenv("AZURE_KEY_VAULT_URI")
+
+# Set your Azure AD application/client ID, client secret, and tenant ID - create an application with permission to call your key vault
+client_id = os.getenv("AZURE_CLIENT_ID") 
+client_secret = os.getenv("AZURE_CLIENT_SECRET")
+tenant_id = os.getenv("AZURE_TENANT_ID") 
+
+# Initialize the ClientSecretCredential
+credential = ClientSecretCredential(client_id=client_id, client_secret=client_secret, tenant_id=tenant_id)
+
+# Create the SecretClient using the credential
+client = SecretClient(vault_url=KVUri, credential=credential)
+
+### Connect to LiteLLM ###
+import litellm
+litellm.secret_manager = client
+
+litellm.get_secret("your-test-key")
+```
+
+### Usage with OpenAI Proxy Server
+
+1. Install Proxy dependencies 
+```bash
+pip install litellm[proxy] litellm[extra_proxy]
+```
+
+2. Save Azure details in your environment
+```bash 
+export["AZURE_CLIENT_ID"]="your-azure-app-client-id"
+export["AZURE_CLIENT_SECRET"]="your-azure-app-client-secret"
+export["AZURE_TENANT_ID"]="your-azure-tenant-id"
+export["AZURE_KEY_VAULT_URI"]="your-azure-key-vault-uri"
+```
+
+3. Add to proxy config.yaml 
+```yaml
+model_list: 
+    - model_name: "my-azure-models" # model alias 
+        litellm_params:
+            model: "azure/<your-deployment-name>"
+            api_key: "os.environ/AZURE-API-KEY" # reads from key vault - get_secret("AZURE_API_KEY")
+            api_base: "os.environ/AZURE-API-BASE" # reads from key vault - get_secret("AZURE_API_BASE")
+
+general_settings:
+  use_azure_key_vault: True
+```
+
+You can now test this by starting your proxy: 
+```bash
+litellm --config /path/to/config.yaml
+```
+
+[Quick Test Proxy](./simple_proxy.md#using-litellm-proxy---curl-request-openai-package)
+
+## Infisical Secret Manager
+Integrates with [Infisical's Secret Manager](https://infisical.com/) for secure storage and retrieval of API keys and sensitive data.
+
+### Usage
+liteLLM manages reading in your LLM API secrets/env variables from Infisical for you
+
+```python
+import litellm
+from infisical import InfisicalClient
+
+litellm.secret_manager = InfisicalClient(token="your-token")
+
+messages = [
+    {"role": "system", "content": "You are a helpful assistant."},
+    {"role": "user", "content": "What's the weather like today?"},
+]
+
+response = litellm.completion(model="gpt-3.5-turbo", messages=messages)
+
+print(response)
+```
+
+
+## .env Files
+If no secret manager client is specified, Litellm automatically uses the `.env` file to manage sensitive data.
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 95797c1cd..0ae911f49 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -90,6 +90,7 @@ const sidebars = {
     "rules",
     "set_keys",
     "budget_manager",
+    "secret",
     "completion/token_usage",
     {
       type: 'category',