diff --git a/docs/my-website/docs/tutorials/anthropic_file_usage.md b/docs/my-website/docs/tutorials/anthropic_file_usage.md
new file mode 100644
index 0000000000..8c1f99d5fb
--- /dev/null
+++ b/docs/my-website/docs/tutorials/anthropic_file_usage.md
@@ -0,0 +1,81 @@
+# Using Anthropic File API with LiteLLM Proxy
+
+## Overview
+
+This tutorial shows how to create and analyze files with Claude-4 on Anthropic via LiteLLM Proxy.
+
+## Prerequisites
+
+- LiteLLM Proxy running
+- Anthropic API key
+
+Add the following to your `.env` file:
+```
+ANTHROPIC_API_KEY=sk-1234
+```
+
+## Usage
+
+### 1. Setup config.yaml
+
+```yaml
+model_list:
+  - model_name: claude-opus
+    litellm_params:
+      model: anthropic/claude-opus-4-20250514
+      api_key: os.environ/ANTHROPIC_API_KEY
+```
+
+## 2. Create a file 
+
+Use the `/anthropic` passthrough endpoint to create a file.
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/anthropic/v1/files' \
+-H 'x-api-key: sk-1234' \
+-H 'anthropic-version: 2023-06-01' \
+-H 'anthropic-beta: files-api-2025-04-14' \
+-F 'file=@"/path/to/your/file.csv"'
+```
+
+Expected response:
+
+```json
+{
+  "created_at": "2023-11-07T05:31:56Z",
+  "downloadable": false,
+  "filename": "file.csv",
+  "id": "file-1234",
+  "mime_type": "text/csv",
+  "size_bytes": 1,
+  "type": "file"
+}
+```
+
+
+## 3. Analyze the file with Claude-4 via `/chat/completions`
+
+
+```bash
+curl -L -X POST 'http://0.0.0.0:4000/v1/chat/completions' \
+-H 'Content-Type: application/json' \
+-H 'Authorization: Bearer $LITELLM_API_KEY' \
+-d '{
+    "model": "claude-opus",
+    "messages": [
+        {
+            "role": "user",
+            "content": [
+                {"type": "text", "text": "What is in this sheet?"},
+                {
+                    "type": "file",
+                    "file": {
+                        "file_id": "file-1234",
+                        "format": "text/csv" # 👈 IMPORTANT: This is the format of the file you want to analyze
+                    }
+                }
+            ]
+        }
+    ]
+}'
+```
\ No newline at end of file
diff --git a/docs/my-website/release_notes/v1.72.0-stable/index.md b/docs/my-website/release_notes/v1.72.0-stable/index.md
index b8fe11e561..dbbb32e12a 100644
--- a/docs/my-website/release_notes/v1.72.0-stable/index.md
+++ b/docs/my-website/release_notes/v1.72.0-stable/index.md
@@ -46,9 +46,14 @@ pip install litellm==1.72.0
 LiteLLM v1.72.0-stable is live now. Here are the key highlights of this release:
 
 - **Vector Store Permissions**: Control Vector Store access at the Key, Team, and Organization level.
-- **Bedrock Agents**: Call Bedrock Agents with `/chat/completions`, `/response` endpoints.
+- **Rate Limiting Sliding Window support**: Improved accuracy for Key/Team/User rate limits with request tracking across minutes.
 - **Aiohttp Transport used by default**: Aiohttp transport is now the default transport for LiteLLM networking requests. This gives users 2x higher RPS per instance with a 40ms median latency overhead.
-- **Prometheus**: End users (`end_user`) will no longer be tracked by default on Prometheus. Tracking end_users on prometheus is now opt-in. This is done to reduce the cardinality of the metrics from LiteLLM Proxy. [Read More](../../docs/proxy/prometheus#tracking-end_user-on-prometheus)
+- **Bedrock Agents**: Call Bedrock Agents with `/chat/completions`, `/response` endpoints.
+- **Anthropic File API**: Upload and analyze CSV files with Claude-4 on Anthropic via LiteLLM.
+- **Prometheus**: End users (`end_user`) will no longer be tracked by default on Prometheus. Tracking end_users on prometheus is now opt-in. This is done to prevent the response from `/metrics` from  becoming too large. [Read More](../../docs/proxy/prometheus#tracking-end_user-on-prometheus)
+
+
+---
 
 ## Vector Store Permissions
 
@@ -58,6 +63,7 @@ This is great for use cases that require access to restricted data that you don'
 
 Over the next week we plan on adding permission management for MCP Servers.
 
+---
 ## Aiohttp Transport used by default
 
 Aiohttp transport is now the default transport for LiteLLM networking requests. This gives users 2x higher RPS per instance with a 40ms median latency overhead. This has been live on LiteLLM Cloud for a week + gone through alpha users testing for a week.
@@ -88,6 +94,7 @@ result = litellm.completion(
 print(result)
 ```
 
+---
 
 
 ## New Models / Updated Models
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index 8383503e87..5d810db003 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -506,6 +506,7 @@ const sidebars = {
       items: [
         "tutorials/openweb_ui",
         "tutorials/openai_codex",
+        "tutorials/anthropic_file_usage",
         "tutorials/msft_sso",
         "tutorials/prompt_caching",
         "tutorials/tag_management",