diff --git a/docs/my-website/docs/proxy/cost_tracking.md b/docs/my-website/docs/proxy/cost_tracking.md
index f2d456febb..de1a63a4c3 100644
--- a/docs/my-website/docs/proxy/cost_tracking.md
+++ b/docs/my-website/docs/proxy/cost_tracking.md
@@ -8,16 +8,12 @@ Track spend for keys, users, and teams across 100+ LLMs.
 
 ### How to Track Spend with LiteLLM
 
+**Step 1**
+
 👉 [Setup LiteLLM with a Database](https://docs.litellm.ai/docs/proxy/deploy)
 
-That's it, that's all you need to do for basic LLM spend tracking
 
-### What spend gets tracked 
-
-For the Request below LiteLLM will **automatically** track spend for
-- Virtual Key = `sk-1234`
-- Customer = `palantir`
-- Tags = `jobID:214590dsff09fds`, `taskName:run_page_classification`
+**Step2** Send `/chat/completions` request
 
 <Tabs>
 
@@ -31,9 +27,8 @@ client = openai.OpenAI(
     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",
+    model="llama3",
     messages = [
         {
             "role": "user",
@@ -61,7 +56,7 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
     --header 'Content-Type: application/json' \
     --header 'Authorization: Bearer sk-1234' \
     --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "llama3",
     "messages": [
         {
         "role": "user",
@@ -91,7 +86,7 @@ os.environ["OPENAI_API_KEY"] = "sk-1234"
 
 chat = ChatOpenAI(
     openai_api_base="http://0.0.0.0:4000",
-    model = "gpt-3.5-turbo",
+    model = "llama3",
     user="palantir",
     extra_body={
         "metadata": {
@@ -116,25 +111,45 @@ print(response)
 </TabItem>
 </Tabs>
 
-## View Spend on LiteLLM Admin UI
+**Step3 - Verify Spend Tracked**
+That's IT. Now Verify your spend was tracked
 
-Navigate to the `Usage` Tab on the LiteLLM UI (found on `https://your-proxy-endpoint/ui`)
+The following spend gets tracked in Table `LiteLLM_SpendLogs`
+
+```json
+{
+  "api_key": "fe6b0cab4ff5a5a8df823196cc8a450*****",                            # Hash of API Key used
+  "user": "default_user",                                                       # Internal User (LiteLLM_UserTable) that owns `api_key=sk-1234`. 
+  "team_id": "e8d1460f-846c-45d7-9b43-55f3cc52ac32",                            # Team (LiteLLM_TeamTable) that owns `api_key=sk-1234`
+  "request_tags": ["jobID:214590dsff09fds", "taskName:run_page_classification"],# Tags sent in request
+  "end_user": "palantir",                                                       # Customer - the `user` sent in the request
+  "model_group": "llama3",                                                      # "model" passed to LiteLLM
+  "api_base": "https://api.groq.com/openai/v1/",                                # "api_base" of model used by LiteLLM
+  "spend": 0.000002,                                                            # Spend in $
+  "total_tokens": 100,
+  "completion_tokens": 80,
+  "prompt_tokens": 20,
+
+}
+```
+
+Navigate to the Usage Tab on the LiteLLM UI (found on https://your-proxy-endpoint/ui) and verify you see spend tracked under `Usage`
 
 <Image img={require('../../img/admin_ui_spend.png')} />
 
 ## API Endpoints to get Spend
-### Getting Spend Reports - To Charge Other Teams, API Keys
+#### Getting Spend Reports - To Charge Other Teams, API Keys
 
 Use the `/global/spend/report` endpoint to get daily spend per team, with a breakdown of spend per API Key, Model
 
-#### Example Request
+##### Example Request
 
 ```shell
 curl -X GET 'http://localhost:4000/global/spend/report?start_date=2024-04-01&end_date=2024-06-30' \
   -H 'Authorization: Bearer sk-1234'
 ```
 
-#### Example Response
+##### Example Response
 <Tabs>
 
 <TabItem value="response" label="Expected Response">
@@ -243,7 +258,7 @@ Output from script
 
 </Tabs>
 
-### Allowing Non-Proxy Admins to access `/spend` endpoints 
+#### Allowing Non-Proxy Admins to access `/spend` endpoints 
 
 Use this when you want non-proxy admins to access `/spend` endpoints
 
@@ -253,7 +268,7 @@ Schedule a [meeting with us to get your Enterprise License](https://calendly.com
 
 :::
 
-#### Create Key 
+##### Create Key 
 Create Key with with `permissions={"get_spend_routes": true}` 
 ```shell
 curl --location 'http://0.0.0.0:4000/key/generate' \
@@ -264,7 +279,7 @@ curl --location 'http://0.0.0.0:4000/key/generate' \
     }'
 ```
 
-#### Use generated key on `/spend` endpoints
+##### Use generated key on `/spend` endpoints
 
 Access spend Routes with newly generate keys
 ```shell
@@ -274,14 +289,14 @@ curl -X GET 'http://localhost:4000/global/spend/report?start_date=2024-04-01&end
 
 
 
-### Reset Team, API Key Spend - MASTER KEY ONLY
+#### Reset Team, API Key Spend - MASTER KEY ONLY
 
 Use `/global/spend/reset` if you want to:
 - Reset the Spend for all API Keys, Teams. The `spend` for ALL Teams and Keys in `LiteLLM_TeamTable` and `LiteLLM_VerificationToken` will be set to `spend=0`
 
 - LiteLLM will maintain all the logs in `LiteLLMSpendLogs` for Auditing Purposes
 
-#### Request 
+##### Request 
 Only the `LITELLM_MASTER_KEY` you set can access this route
 ```shell
 curl -X POST \
@@ -290,7 +305,7 @@ curl -X POST \
   -H 'Content-Type: application/json'
 ```
 
-#### Expected Responses
+##### Expected Responses
 
 ```shell
 {"message":"Spend for all API Keys and Teams reset successfully","status":"success"}
@@ -303,7 +318,7 @@ curl -X POST \
 
 Set base model for cost tracking azure image-gen call
 
-### Image Generation 
+#### Image Generation 
 
 ```yaml
 model_list: 
@@ -318,7 +333,7 @@ model_list:
         mode: image_generation
 ```
 
-### Chat Completions / Embeddings
+#### Chat Completions / Embeddings
 
 **Problem**: Azure returns `gpt-4` in the response when `azure/gpt-4-1106-preview` is used. This leads to inaccurate cost tracking