diff --git a/docs/my-website/docs/proxy/bucket.md b/docs/my-website/docs/proxy/bucket.md
index 963b8a4f6ca..99f45e07713 100644
--- a/docs/my-website/docs/proxy/bucket.md
+++ b/docs/my-website/docs/proxy/bucket.md
@@ -1,4 +1,8 @@
 
+import Image from '@theme/IdealImage';
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
 # 🪣 Logging GCS, s3 Buckets
 
 LiteLLM Supports Logging to the following Cloud Buckets
@@ -67,6 +71,48 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
 <Image img={require('../../img/gcs_bucket.png')} />
 
 
+### Fields Logged on GCS Buckets
+
+Example payload of a `/chat/completion` request logged on GCS
+```json
+{
+    "request_id": "chatcmpl-3946ddc2-bcfe-43f6-9b8e-2427951de85c",
+    "call_type": "acompletion",
+    "api_key": "",
+    "cache_hit": "None",
+    "startTime": "2024-08-01T14:27:12.563246",
+    "endTime": "2024-08-01T14:27:12.572709",
+    "completionStartTime": "2024-08-01T14:27:12.572709",
+    "model": "gpt-3.5-turbo",
+    "user": "",
+    "team_id": "",
+    "metadata": "{}",
+    "cache_key": "Cache OFF",
+    "spend": 0.000054999999999999995,
+    "total_tokens": 30,
+    "prompt_tokens": 10,
+    "completion_tokens": 20,
+    "request_tags": "[]",
+    "end_user": "ishaan-2",
+    "api_base": "",
+    "model_group": "",
+    "model_id": "",
+    "requester_ip_address": null,
+    "output": [
+        "{\"finish_reason\":\"stop\",\"index\":0,\"message\":{\"content\":\"Hi!\",\"role\":\"assistant\",\"tool_calls\":null,\"function_call\":null}}"
+    ]
+}
+```
+
+### Getting `service_account.json` from Google Cloud Console
+
+1. Go to [Google Cloud Console](https://console.cloud.google.com/)
+2. Search for IAM & Admin
+3. Click on Service Accounts
+4. Select a Service Account
+5. Click on 'Keys' -> Add Key -> Create New Key -> JSON
+6. Save the JSON file and add the path to `GCS_PATH_SERVICE_ACCOUNT`
+
 
 ## Logging Proxy Input/Output - s3 Buckets