docs(proxy): replace gpt-3.5-turbo with gpt-4o in proxy docs

Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
2026-10-09 03:18:44 +00:00 · 2026-03-21 17:59:47 +00:00 · 2026-03-21 17:59:47 +00:00 · ecab4713db
commit ecab4713db
parent 831bc1b6fd
10 changed files with 75 additions and 75 deletions
--- a/docs/my-website/docs/proxy/caching.md
+++ b/docs/my-website/docs/proxy/caching.md
@ -34,9 +34,9 @@ Caching can be enabled by adding the `cache` key in the `config.yaml`

 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
    litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
  - model_name: text-embedding-ada-002
    litellm_params:
      model: text-embedding-ada-002
@ -382,9 +382,9 @@ one**

 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
    litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
  - model_name: text-embedding-ada-002
    litellm_params:
      model: text-embedding-ada-002
@ -415,9 +415,9 @@ $ litellm --config /path/to/config.yaml

 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
    litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
  - model_name: text-embedding-ada-002
    litellm_params:
      model: text-embedding-ada-002
@ -457,9 +457,9 @@ Caching can be enabled by adding the `cache` key in the `config.yaml`

 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
    litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
  - model_name: azure-embedding-model
    litellm_params:
      model: azure/azure-embedding-model
@ -558,7 +558,7 @@ Send the same request twice:
 curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
-     "model": "gpt-3.5-turbo",
+     "model": "gpt-4o",
     "messages": [{"role": "user", "content": "write a poem about litellm!"}],
     "temperature": 0.7
   }'
@ -566,7 +566,7 @@ curl http://0.0.0.0:4000/v1/chat/completions \
 curl http://0.0.0.0:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -d '{
-     "model": "gpt-3.5-turbo",
+     "model": "gpt-4o",
     "messages": [{"role": "user", "content": "write a poem about litellm!"}],
     "temperature": 0.7
   }'
@ -625,7 +625,7 @@ client = OpenAI(

 chat_completion = client.chat.completions.create(
    messages=[{"role": "user", "content": "Hello"}],
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    extra_body={
        "cache": {
            "ttl": 300  # Cache response for 5 minutes
@ -643,7 +643,7 @@ curl http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "cache": {"ttl": 300},
    "messages": [
      {"role": "user", "content": "Hello"}
@ -671,7 +671,7 @@ client = OpenAI(

 chat_completion = client.chat.completions.create(
    messages=[{"role": "user", "content": "Hello"}],
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    extra_body={
        "cache": {
            "s-maxage": 600  # Only use cache if less than 10 minutes old
@ -689,7 +689,7 @@ curl http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "cache": {"s-maxage": 600},
    "messages": [
      {"role": "user", "content": "Hello"}
@ -717,7 +717,7 @@ client = OpenAI(

 chat_completion = client.chat.completions.create(
    messages=[{"role": "user", "content": "Hello"}],
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    extra_body={
        "cache": {
            "no-cache": True  # Skip cache check, get fresh response
@ -735,7 +735,7 @@ curl http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "cache": {"no-cache": true},
    "messages": [
      {"role": "user", "content": "Hello"}
@ -763,7 +763,7 @@ client = OpenAI(

 chat_completion = client.chat.completions.create(
    messages=[{"role": "user", "content": "Hello"}],
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    extra_body={
        "cache": {
            "no-store": True  # Don't cache this response
@ -781,7 +781,7 @@ curl http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "cache": {"no-store": true},
    "messages": [
      {"role": "user", "content": "Hello"}
@ -809,7 +809,7 @@ client = OpenAI(

 chat_completion = client.chat.completions.create(
    messages=[{"role": "user", "content": "Hello"}],
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    extra_body={
        "cache": {
            "namespace": "my-custom-namespace"  # Store in custom namespace
@ -827,7 +827,7 @@ curl http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "cache": {"namespace": "my-custom-namespace"},
    "messages": [
      {"role": "user", "content": "Hello"}
@ -908,9 +908,9 @@ litellm_settings:

 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
    litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o
  - model_name: text-embedding-ada-002
    litellm_params:
      model: text-embedding-ada-002
@ -956,7 +956,7 @@ curl -i --location 'http://0.0.0.0:4000/chat/completions' \
    --header 'Authorization: Bearer sk-1234' \
    --header 'Content-Type: application/json' \
    --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "user": "ishan",
    "messages": [
        {
@ -1029,7 +1029,7 @@ chat_completion = client.chat.completions.create(
            "content": "Say this is a test",
        }
    ],
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    extra_body = {        # OpenAI python accepts extra args in extra_body
        "cache": {"use-cache": True}
    }
@ -1045,7 +1045,7 @@ curl http://localhost:4000/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer sk-1234" \
  -d '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "cache": {"use-cache": True}
    "messages": [
      {"role": "user", "content": "Say this is a test"}
--- a/docs/my-website/docs/proxy/call_hooks.md
+++ b/docs/my-website/docs/proxy/call_hooks.md
@ -135,9 +135,9 @@ proxy_handler_instance = MyCustomHandler()

 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
    litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o

 litellm_settings:
  callbacks: custom_callbacks.proxy_handler_instance # sets litellm.callbacks = [proxy_handler_instance]
@ -151,7 +151,7 @@ $ litellm /path/to/config.yaml
 ```shell
 curl --location 'http://0.0.0.0:4000/chat/completions' \
    --data ' {
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "messages": [
        {
        "role": "user",
@ -231,9 +231,9 @@ proxy_handler_instance = MyCustomHandler()

 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
    litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o

 litellm_settings:
  callbacks: custom_callbacks.proxy_handler_instance # sets litellm.callbacks = [proxy_handler_instance]
@ -247,7 +247,7 @@ $ litellm /path/to/config.yaml
 ```shell
 curl --location 'http://0.0.0.0:4000/chat/completions' \
    --data ' {
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "messages": [
        {
        "role": "user",
@ -318,9 +318,9 @@ proxy_handler_instance = MyCustomHandler()

 ```yaml
 model_list:
-  - model_name: gpt-3.5-turbo
+  - model_name: gpt-4o
    litellm_params:
-      model: gpt-3.5-turbo
+      model: gpt-4o

 litellm_settings:
  callbacks: custom_callbacks.proxy_handler_instance # sets litellm.callbacks = [proxy_handler_instance]
@ -335,7 +335,7 @@ $ litellm /path/to/config.yaml
 ```shell
 curl --location 'http://0.0.0.0:4000/chat/completions' \
    --data ' {
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "messages": [
        {
        "role": "user",
--- a/docs/my-website/docs/proxy/clientside_auth.md
+++ b/docs/my-website/docs/proxy/clientside_auth.md
@ -41,7 +41,7 @@ user_config = {
        {
            'model_name': 'user-openai-instance',
            'litellm_params': {
-                'model': 'gpt-3.5-turbo',
+                'model': 'gpt-4o',
                'api_key': os.getenv('OPENAI_API_KEY'),
                'timeout': 10,
            },
@ -109,7 +109,7 @@ const userConfig = {
        {
            model_name: 'user-openai-instance',
            litellm_params: {
-                model: 'gpt-3.5-turbo',
+                model: 'gpt-4o',
                api_key: process.env.OPENAI_API_KEY,
                timeout: 10,
            },
@ -140,7 +140,7 @@ const openai = new OpenAI({
 async function main() {
  const chatCompletion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
-    model: 'gpt-3.5-turbo',
+    model: 'gpt-4o',
    user_config: userConfig // # 👈 User config
  });
 }
@ -188,7 +188,7 @@ client = openai.OpenAI(
 )

 # request sent to model set on litellm proxy, `litellm --model`
-response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [
+response = client.chat.completions.create(model="gpt-4o", messages = [
    {
        "role": "user",
        "content": "this is a test request, write a short poem"
@ -213,7 +213,7 @@ client = openai.OpenAI(
 )

 # request sent to model set on litellm proxy, `litellm --model`
-response = client.chat.completions.create(model="gpt-3.5-turbo", messages = [
+response = client.chat.completions.create(model="gpt-4o", messages = [
    {
        "role": "user",
        "content": "this is a test request, write a short poem"
@ -245,7 +245,7 @@ const openai = new OpenAI({
 async function main() {
  const chatCompletion = await openai.chat.completions.create({
    messages: [{ role: 'user', content: 'Say this is a test' }],
-    model: 'gpt-3.5-turbo',
+    model: 'gpt-4o',
    api_key: "my-bad-key" // 👈 User Key
  });
 }
@ -272,7 +272,7 @@ client = openai.OpenAI(

 # request sent to model set on litellm proxy, `litellm --model`
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    messages = [
        {
            "role": "user",
--- a/docs/my-website/docs/proxy/config_settings.md
+++ b/docs/my-website/docs/proxy/config_settings.md
@ -34,8 +34,8 @@ litellm_settings:

  # Fallbacks, reliability
  default_fallbacks: ["claude-opus"] # set default_fallbacks, in case a specific model group is misconfigured / bad.
-  content_policy_fallbacks: [{ "gpt-3.5-turbo-small": ["claude-opus"] }] # fallbacks for ContentPolicyErrors
-  context_window_fallbacks: [{ "gpt-3.5-turbo-small": ["gpt-3.5-turbo-large", "claude-opus"] }] # fallbacks for ContextWindowExceededErrors
+  content_policy_fallbacks: [{ "gpt-4o-small": ["claude-opus"] }] # fallbacks for ContentPolicyErrors
+  context_window_fallbacks: [{ "gpt-4o-small": ["gpt-4o-large", "claude-opus"] }] # fallbacks for ContextWindowExceededErrors

  # MCP Aliases - Map aliases to MCP server names for easier tool access
  mcp_aliases: {
@ -349,7 +349,7 @@ router_settings:
 | model_group_alias | dict | Model group alias mapping. E.g. `{"claude-3-haiku": "claude-3-haiku-20240229"}` |
 | num_retries | int | Number of retries for a request. Defaults to 3. |
 | default_fallbacks | Optional[List[str]] | Fallbacks to try if no model group-specific fallbacks are defined. |
-| caching_groups | Optional[List[tuple]] | List of model groups for caching across model groups. Defaults to None. - e.g. caching_groups=[("openai-gpt-3.5-turbo", "azure-gpt-3.5-turbo")]|
+| caching_groups | Optional[List[tuple]] | List of model groups for caching across model groups. Defaults to None. - e.g. caching_groups=[("openai-gpt-4o", "azure-gpt-4o")]|
 | alerting_config | AlertingConfig | [SDK-only arg] Slack alerting configuration. Defaults to None. [Further Docs](../routing.md#alerting-) |
 | assistants_config | AssistantsConfig | Set on proxy via `assistant_settings`. [Further docs](../assistants.md) |
 | set_verbose | boolean | [DEPRECATED PARAM - see debug docs](./debugging) If true, sets the logging level to verbose. |
--- a/docs/my-website/docs/proxy/configs.md
+++ b/docs/my-website/docs/proxy/configs.md
@ -400,9 +400,9 @@ model_list:
        model: gpt-4o
        api_key: <my-openai-key>
        rpm: 200      
-  - model_name: gpt-3.5-turbo-16k
+  - model_name: gpt-4o-16k
    litellm_params:
-        model: gpt-3.5-turbo-16k
+        model: gpt-4o-16k
        api_key: <my-openai-key>
        rpm: 100      

@ -410,7 +410,7 @@ litellm_settings:
  num_retries: 3 # retry call 3 times on each model_name (e.g. zephyr-beta)
  request_timeout: 10 # raise Timeout error if call takes longer than 10s. Sets litellm.request_timeout 
  fallbacks: [{"zephyr-beta": ["gpt-4o"]}] # fallback to gpt-4o if call fails num_retries 
-  context_window_fallbacks: [{"zephyr-beta": ["gpt-3.5-turbo-16k"]}, {"gpt-4o": ["gpt-3.5-turbo-16k"]}] # fallback to gpt-3.5-turbo-16k if context window error
+  context_window_fallbacks: [{"zephyr-beta": ["gpt-4o-16k"]}, {"gpt-4o": ["gpt-4o-16k"]}] # fallback to gpt-4o-16k if context window error
  allowed_fails: 3 # cooldown model if it fails > 1 call in a minute. 

 router_settings: # router_settings are optional
@ -497,9 +497,9 @@ Supported Environments:
 2. For each model set the list of supported environments in `model_info.supported_environments`
 ```yaml
 model_list:
- - model_name: gpt-3.5-turbo-16k
+ - model_name: gpt-4o-16k
   litellm_params:
-     model: openai/gpt-3.5-turbo-16k
+     model: openai/gpt-4o-16k
     api_key: os.environ/OPENAI_API_KEY
   model_info:
     supported_environments: ["development", "production", "staging"]
--- a/docs/my-website/docs/proxy/cost_tracking.md
+++ b/docs/my-website/docs/proxy/cost_tracking.md
@ -388,7 +388,7 @@ client = openai.OpenAI(


 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    messages = [
        {
            "role": "user",
@ -420,7 +420,7 @@ async function runOpenAI() {

  try {
    const response = await client.chat.completions.create({
-      model: "gpt-3.5-turbo",
+      model: "gpt-4o",
      messages: [
        {
          role: "user",
@ -452,7 +452,7 @@ Pass `metadata` as part of the request body
 curl --location 'http://0.0.0.0:4000/chat/completions' \
    --header 'Content-Type: application/json' \
    --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "messages": [
        {
        "role": "user",
@ -477,7 +477,7 @@ from langchain.schema import HumanMessage, SystemMessage

 chat = ChatOpenAI(
    openai_api_base="http://0.0.0.0:4000",
-    model = "gpt-3.5-turbo",
+    model = "gpt-4o",
    temperature=0.1,
    extra_body={
        "metadata": {
@ -574,7 +574,7 @@ curl -X GET 'http://localhost:4000/global/spend/report?start_date=2024-04-01&end
                        "api_key": "898c28.." # the hashed api key
                    },
                    {
-                        "model": "gpt-3.5-turbo",
+                        "model": "gpt-4o",
                        "spend": 0.0000825,
                        "total_tokens": 85,
                        "api_key": "84dc28.." # the hashed api key
@ -627,22 +627,22 @@ Output from script
 # Date: 2024-05-11T00:00:00+00:00
 # Team: local_test_team
 # Total Spend: 0.003675099999999999
-# Metadata:  [{'model': 'gpt-3.5-turbo', 'spend': 0.003675099999999999, 'api_key': 'b94d5e0bc3a71a573917fe1335dc0c14728c7016337451af9714924ff3a729db', 'total_tokens': 3105}]
+# Metadata:  [{'model': 'gpt-4o', 'spend': 0.003675099999999999, 'api_key': 'b94d5e0bc3a71a573917fe1335dc0c14728c7016337451af9714924ff3a729db', 'total_tokens': 3105}]

 # Date: 2024-05-13T00:00:00+00:00
 # Team: Unassigned Team
 # Total Spend: 3.4e-05
-# Metadata:  [{'model': 'gpt-3.5-turbo', 'spend': 3.4e-05, 'api_key': '9569d13c9777dba68096dea49b0b03e0aaf4d2b65d4030eda9e8a2733c3cd6e0', 'total_tokens': 50}]
+# Metadata:  [{'model': 'gpt-4o', 'spend': 3.4e-05, 'api_key': '9569d13c9777dba68096dea49b0b03e0aaf4d2b65d4030eda9e8a2733c3cd6e0', 'total_tokens': 50}]

 # Date: 2024-05-13T00:00:00+00:00
 # Team: central
 # Total Spend: 0.000684
-# Metadata:  [{'model': 'gpt-3.5-turbo', 'spend': 0.000684, 'api_key': '0323facdf3af551594017b9ef162434a9b9a8ca1bbd9ccbd9d6ce173b1015605', 'total_tokens': 498}]
+# Metadata:  [{'model': 'gpt-4o', 'spend': 0.000684, 'api_key': '0323facdf3af551594017b9ef162434a9b9a8ca1bbd9ccbd9d6ce173b1015605', 'total_tokens': 498}]

 # Date: 2024-05-13T00:00:00+00:00
 # Team: local_test_team
 # Total Spend: 0.0005715000000000001
-# Metadata:  [{'model': 'gpt-3.5-turbo', 'spend': 0.0005715000000000001, 'api_key': 'b94d5e0bc3a71a573917fe1335dc0c14728c7016337451af9714924ff3a729db', 'total_tokens': 423}]
+# Metadata:  [{'model': 'gpt-4o', 'spend': 0.0005715000000000001, 'api_key': 'b94d5e0bc3a71a573917fe1335dc0c14728c7016337451af9714924ff3a729db', 'total_tokens': 423}]
 ```

 </TabItem>
@ -700,7 +700,7 @@ curl -X GET 'http://localhost:4000/global/spend/report?start_date=2024-04-01&end
                        "api_key": "898c28.." # the hashed api key
                    },
                    {
-                        "model": "gpt-3.5-turbo",
+                        "model": "gpt-4o",
                        "spend": 0.0000825,
                        "total_tokens": 85,
                        "api_key": "84dc28.." # the hashed api key
@ -778,7 +778,7 @@ curl -X GET 'http://localhost:4000/global/spend/report?start_date=2024-04-01&end
    "total_output_tokens": 872.0,
    "model_details": [
      {
-        "model": "gpt-3.5-turbo-instruct",
+        "model": "gpt-4o-instruct",
        "total_cost": 5.85e-05,
        "total_input_tokens": 15,
        "total_output_tokens": 18
@ -798,7 +798,7 @@ curl -X GET 'http://localhost:4000/global/spend/report?start_date=2024-04-01&end
    "total_output_tokens": 27.0,
    "model_details": [
      {
-        "model": "gpt-3.5-turbo",
+        "model": "gpt-4o",
        "total_cost": 5.2499999999999995e-05,
        "total_input_tokens": 24,
        "total_output_tokens": 27
@ -931,7 +931,7 @@ client = openai.OpenAI(

 # request sent to model set on litellm proxy, `litellm --model`
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    messages = [
        {
            "role": "user",
@ -961,7 +961,7 @@ client = openai.OpenAI(

 # Pass spend logs metadata via headers
 response = client.chat.completions.create(
-    model="gpt-3.5-turbo",
+    model="gpt-4o",
    messages = [
        {
            "role": "user",
@ -992,7 +992,7 @@ async function runOpenAI() {

  try {
    const response = await client.chat.completions.create({
-      model: 'gpt-3.5-turbo',
+      model: 'gpt-4o',
      messages: [
        {
          role: 'user',
@ -1029,7 +1029,7 @@ async function runOpenAI() {

  try {
    const response = await client.chat.completions.create({
-      model: 'gpt-3.5-turbo',
+      model: 'gpt-4o',
      messages: [
        {
          role: 'user',
@ -1062,7 +1062,7 @@ Pass `metadata` as part of the request body
 curl --location 'http://0.0.0.0:4000/chat/completions' \
    --header 'Content-Type: application/json' \
    --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "messages": [
        {
        "role": "user",
@ -1089,7 +1089,7 @@ curl --location 'http://0.0.0.0:4000/chat/completions' \
    --header 'Authorization: Bearer sk-1234' \
    --header 'x-litellm-spend-logs-metadata: {"user_id": "12345", "project_id": "proj_abc", "request_type": "chat_completion"}' \
    --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "messages": [
        {
        "role": "user",
@ -1113,7 +1113,7 @@ from langchain.schema import HumanMessage, SystemMessage

 chat = ChatOpenAI(
    openai_api_base="http://0.0.0.0:4000",
-    model = "gpt-3.5-turbo",
+    model = "gpt-4o",
    temperature=0.1,
    extra_body={
        "metadata": {
--- a/docs/my-website/docs/proxy/custom_sso.md
+++ b/docs/my-website/docs/proxy/custom_sso.md
@ -81,7 +81,7 @@ custom_ui_sso_sign_in_handler = MyCustomSSOLoginHandler()
 model_list: 
  - model_name: "openai-model"
    litellm_params: 
-      model: "gpt-3.5-turbo"
+      model: "gpt-4o"

 general_settings:
  custom_ui_sso_sign_in_handler: custom_sso_handler.custom_ui_sso_sign_in_handler
@ -184,7 +184,7 @@ e.g. if they're both in the same dir - `./config.yaml` and `./custom_sso.py`, th
 model_list: 
  - model_name: "openai-model"
    litellm_params: 
-      model: "gpt-3.5-turbo"
+      model: "gpt-4o"

 general_settings:
  custom_sso: custom_sso.custom_sso_handler
--- a/docs/my-website/docs/proxy/customer_usage.md
+++ b/docs/my-website/docs/proxy/customer_usage.md
@ -36,7 +36,7 @@ curl -X POST '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": "gpt-4o",
    "user": "customer-123",
    "messages": [
      {
@ -64,7 +64,7 @@ curl -X POST 'http://0.0.0.0:4000/chat/completions' \
  --header 'Authorization: Bearer sk-1234' \
  --header 'x-litellm-customer-id: customer-123' \
  --data '{
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
    "messages": [
      {
        "role": "user",
--- a/docs/my-website/docs/proxy/debugging.md
+++ b/docs/my-website/docs/proxy/debugging.md
@ -48,7 +48,7 @@ POST Request Sent from LiteLLM:
 curl -X POST \
 https://api.openai.com/v1/chat/completions \
 -H 'content-type: application/json' -H 'Authorization: Bearer sk-qnWGUIW9****************************************' \
-d '{"model": "gpt-3.5-turbo", "messages": [{"role": "user", "content": "this is a test request, write a short poem"}]}'
+-d '{"model": "gpt-4o", "messages": [{"role": "user", "content": "this is a test request, write a short poem"}]}'
 ```

 ## Debug single request
@ -81,7 +81,7 @@ https://exampleopenaiendpoint-production.up.railway.app/chat/completions \


 20:14:06 - LiteLLM:WARNING: litellm_logging.py:1015 - RAW RESPONSE:
-{"id":"chatcmpl-817fc08f0d6c451485d571dab39b26a1","object":"chat.completion","created":1677652288,"model":"gpt-3.5-turbo-0301","system_fingerprint":"fp_44709d6fcb","choices":[{"index":0,"message":{"role":"assistant","content":"\n\nHello there, how may I assist you today?"},"logprobs":null,"finish_reason":"stop"}],"usage":{"prompt_tokens":9,"completion_tokens":12,"total_tokens":21}}
+{"id":"chatcmpl-817fc08f0d6c451485d571dab39b26a1","object":"chat.completion","created":1677652288,"model":"gpt-4o-0301","system_fingerprint":"fp_44709d6fcb","choices":[{"index":0,"message":{"role":"assistant","content":"\n\nHello there, how may I assist you today?"},"logprobs":null,"finish_reason":"stop"}],"usage":{"prompt_tokens":9,"completion_tokens":12,"total_tokens":21}}


 INFO:     127.0.0.1:56155 - "POST /chat/completions HTTP/1.1" 200 OK
--- a/docs/my-website/docs/proxy/rules.md
+++ b/docs/my-website/docs/proxy/rules.md
@ -34,7 +34,7 @@ curl --location 'http://0.0.0.0:4000/v1/chat/completions' \
 --header 'Content-Type: application/json' \
 --header 'Authorization: Bearer sk-1234' \
 --data '{
-  "model": "gpt-3.5-turbo",
+  "model": "gpt-4o",
  "messages": [{"role":"user","content":"What llm are you?"}],
  "temperature": 0.7,
  "max_tokens": 10,