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docs: replace gpt-3.5-turbo with gpt-4o across all documentation

Browse source 
- Updated OpenAI provider docs with gpt-4o examples
- Updated proxy quickstart and configuration docs
- Updated index.md and set_keys.md
- Updated static llms-full.txt file

This change modernizes the documentation examples to use the
newer gpt-4o model instead of the deprecated gpt-3.5-turbo.

Co-authored-by: Krish Dholakia <krrishdholakia@gmail.com>
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Cursor Agent 2026-03-21 18:06:21 +00:00
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4
docs/my-website/docs/index.md
View file

@ -348,7 +348,7 @@ litellm --model huggingface/bigcode/starcoder
```yaml title="litellm_config.yaml"
model_list:
- model_name: gpt-3.5-turbo
- model_name: gpt-4o
litellm_params:
model: azure/your-deployment
api_base: os.environ/AZURE_API_BASE
@ -377,7 +377,7 @@ import openai
client = openai.OpenAI(api_key="anything", base_url="http://0.0.0.0:4000")
response = client.chat.completions.create(
model="gpt-3.5-turbo",
model="gpt-4o",
messages=[{"role": "user", "content": "Write a short poem"}]
)
print(response.choices[0].message.content)

52
docs/my-website/docs/providers/openai.md
View file

@ -58,20 +58,20 @@ export OPENAI_API_KEY=""
```yaml
model_list:
- model_name: gpt-3.5-turbo
- model_name: gpt-4o
litellm_params:
model: openai/gpt-3.5-turbo # The `openai/` prefix will call openai.chat.completions.create
model: openai/gpt-4o # The `openai/` prefix will call openai.chat.completions.create
api_key: os.environ/OPENAI_API_KEY
- model_name: gpt-3.5-turbo-instruct
- model_name: gpt-4o-instruct
litellm_params:
model: text-completion-openai/gpt-3.5-turbo-instruct # The `text-completion-openai/` prefix will call openai.completions.create
model: text-completion-openai/gpt-4o-instruct # The `text-completion-openai/` prefix will call openai.completions.create
api_key: os.environ/OPENAI_API_KEY
```
</TabItem>
<TabItem value="config-*" label="config.yaml - proxy all OpenAI models">
Use this to add all openai models with one API Key. **WARNING: This will not do any load balancing**
This means requests to `gpt-4`, `gpt-3.5-turbo` , `gpt-4-turbo-preview` will all go through this route
This means requests to `gpt-4`, `gpt-4o` , `gpt-4-turbo-preview` will all go through this route
```yaml
model_list:
@ -84,7 +84,7 @@ model_list:
<TabItem value="cli" label="CLI">
```bash
$ litellm --model gpt-3.5-turbo
$ litellm --model gpt-4o
# Server running on http://0.0.0.0:4000
```
@ -102,7 +102,7 @@ $ litellm --model gpt-3.5-turbo
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",
@ -123,7 +123,7 @@ 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"
@ -147,7 +147,7 @@ from langchain.schema import HumanMessage, SystemMessage
chat = ChatOpenAI(
openai_api_base="http://0.0.0.0:4000", # set openai_api_base to the LiteLLM Proxy
model = "gpt-3.5-turbo",
model = "gpt-4o",
temperature=0.1
)
@ -219,12 +219,12 @@ os.environ["OPENAI_BASE_URL"] = "https://your_host/v1" # OPTIONAL
| gpt-4-turbo-preview | `response = completion(model="gpt-4-0125-preview", messages=messages)` |
| gpt-4-0125-preview | `response = completion(model="gpt-4-0125-preview", messages=messages)` |
| gpt-4-1106-preview | `response = completion(model="gpt-4-1106-preview", messages=messages)` |
| gpt-3.5-turbo-1106 | `response = completion(model="gpt-3.5-turbo-1106", messages=messages)` |
| gpt-3.5-turbo | `response = completion(model="gpt-3.5-turbo", messages=messages)` |
| gpt-3.5-turbo-0301 | `response = completion(model="gpt-3.5-turbo-0301", messages=messages)` |
| gpt-3.5-turbo-0613 | `response = completion(model="gpt-3.5-turbo-0613", messages=messages)` |
| gpt-3.5-turbo-16k | `response = completion(model="gpt-3.5-turbo-16k", messages=messages)` |
| gpt-3.5-turbo-16k-0613| `response = completion(model="gpt-3.5-turbo-16k-0613", messages=messages)` |
| gpt-4o-1106 | `response = completion(model="gpt-4o-1106", messages=messages)` |
| gpt-4o | `response = completion(model="gpt-4o", messages=messages)` |
| gpt-4o-0301 | `response = completion(model="gpt-4o-0301", messages=messages)` |
| gpt-4o-0613 | `response = completion(model="gpt-4o-0613", messages=messages)` |
| gpt-4o-16k | `response = completion(model="gpt-4o-16k", messages=messages)` |
| gpt-4o-16k-0613| `response = completion(model="gpt-4o-16k-0613", messages=messages)` |
| gpt-4 | `response = completion(model="gpt-4", messages=messages)` |
| gpt-4-0314 | `response = completion(model="gpt-4-0314", messages=messages)` |
| gpt-4-0613 | `response = completion(model="gpt-4-0613", messages=messages)` |
@ -428,9 +428,9 @@ curl -X POST 'http://0.0.0.0:4000/chat/completions' \
|---------------------------|-----------------------------------------------------------------|
| fine tuned `gpt-4-0613` | `response = completion(model="ft:gpt-4-0613", messages=messages)` |
| fine tuned `gpt-4o-2024-05-13` | `response = completion(model="ft:gpt-4o-2024-05-13", messages=messages)` |
| fine tuned `gpt-3.5-turbo-0125` | `response = completion(model="ft:gpt-3.5-turbo-0125", messages=messages)` |
| fine tuned `gpt-3.5-turbo-1106` | `response = completion(model="ft:gpt-3.5-turbo-1106", messages=messages)` |
| fine tuned `gpt-3.5-turbo-0613` | `response = completion(model="ft:gpt-3.5-turbo-0613", messages=messages)` |
| fine tuned `gpt-4o-0125` | `response = completion(model="ft:gpt-4o-0125", messages=messages)` |
| fine tuned `gpt-4o-1106` | `response = completion(model="ft:gpt-4o-1106", messages=messages)` |
| fine tuned `gpt-4o-0613` | `response = completion(model="ft:gpt-4o-0613", messages=messages)` |
## Getting Reasoning Content in `/chat/completions`
@ -993,7 +993,7 @@ tools = [
]
response = litellm.completion(
model="gpt-3.5-turbo-1106",
model="gpt-4o-1106",
messages=messages,
tools=tools,
tool_choice="auto", # auto is default, but we'll be explicit
@ -1011,7 +1011,7 @@ from litellm import completion
os.environ["OPENAI_API_KEY"] = "your-api-key"
response = completion(
model = "gpt-3.5-turbo",
model = "gpt-4o",
messages=[{ "content": "Hello, how are you?","role": "user"}],
extra_headers={"AI-Resource Group": "ishaan-resource"}
)
@ -1030,7 +1030,7 @@ os.environ["OPENAI_API_KEY"] = "your-api-key"
os.environ["OPENAI_ORGANIZATION"] = "your-org-id" # OPTIONAL
response = completion(
model = "gpt-3.5-turbo",
model = "gpt-4o",
messages=[{ "content": "Hello, how are you?","role": "user"}]
)
```
@ -1047,14 +1047,14 @@ import litellm, httpx
# for completion
litellm.client_session = httpx.Client(verify=False)
response = litellm.completion(
model="gpt-3.5-turbo",
model="gpt-4o",
messages=messages,
)
# for acompletion
litellm.aclient_session = httpx.AsyncClient(verify=False)
response = litellm.acompletion(
model="gpt-3.5-turbo",
model="gpt-4o",
messages=messages,
)
```
@ -1092,9 +1092,9 @@ Forward openai Org ID's from the client to OpenAI with `forward_openai_org_id` p
```yaml
model_list:
- model_name: "gpt-3.5-turbo"
- model_name: "gpt-4o"
litellm_params:
model: gpt-3.5-turbo
model: gpt-4o
api_key: os.environ/OPENAI_API_KEY
general_settings:
@ -1119,7 +1119,7 @@ client = OpenAI(
base_url="http://0.0.0.0:4000"
)
client.chat.completions.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hello world"}])
client.chat.completions.create(model="gpt-4o", messages=[{"role": "user", "content": "Hello world"}])
```
In your logs you should see the forwarded org id

20
docs/my-website/docs/proxy/quick_start.md
View file

@ -40,7 +40,7 @@ In a new shell, run, this will make an `openai.chat.completions` request. Ensure
litellm --test
```
This will now automatically route any requests for gpt-3.5-turbo to bigcode starcoder, hosted on huggingface inference endpoints.
This will now automatically route any requests for gpt-4o to bigcode starcoder, hosted on huggingface inference endpoints.
### Supported LLMs
All LiteLLM supported LLMs are supported on the Proxy. Seel all [supported llms](https://docs.litellm.ai/docs/providers)
@ -75,7 +75,7 @@ $ export OPENAI_API_KEY=my-api-key
```
```shell
$ litellm --model gpt-3.5-turbo
$ litellm --model gpt-4o
```
</TabItem>
<TabItem value="ollama" label="Ollama">
@ -231,12 +231,12 @@ Example config
```yaml
model_list:
- model_name: gpt-3.5-turbo # user-facing model alias
- model_name: gpt-4o # user-facing model alias
litellm_params: # all params accepted by litellm.completion() - https://docs.litellm.ai/docs/completion/input
model: azure/<your-deployment-name>
api_base: <your-azure-api-endpoint>
api_key: <your-azure-api-key>
- model_name: gpt-3.5-turbo
- model_name: gpt-4o
litellm_params:
model: azure/gpt-turbo-small-ca
api_base: https://my-endpoint-canada-berri992.openai.azure.com/
@ -270,7 +270,7 @@ LiteLLM is compatible with several SDKs - including OpenAI SDK, Anthropic SDK, M
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",
@ -291,7 +291,7 @@ 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"
@ -315,7 +315,7 @@ from langchain.schema import HumanMessage, SystemMessage
chat = ChatOpenAI(
openai_api_base="http://0.0.0.0:4000", # set openai_api_base to the LiteLLM Proxy
model = "gpt-3.5-turbo",
model = "gpt-4o",
temperature=0.1
)
@ -375,7 +375,7 @@ This is **not recommended**. There is duplicate logic as the proxy also uses the
from litellm import completion
response = completion(
model="openai/gpt-3.5-turbo",
model="openai/gpt-4o",
messages = [
{
"role": "user",
@ -436,12 +436,12 @@ print(message.content)
Events that occur during normal operation
```shell
litellm --model gpt-3.5-turbo --debug
litellm --model gpt-4o --debug
```
Detailed information
```shell
litellm --model gpt-3.5-turbo --detailed_debug
litellm --model gpt-4o --detailed_debug
```
### Set Debug Level using env variables

6
docs/my-website/docs/proxy_server.md
View file

@ -148,7 +148,7 @@ openai.api_key = "any-string-here"
openai.api_base = "http://0.0.0.0:8080" # your proxy url
# call openai
response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hey"}])
response = openai.ChatCompletion.create(model="gpt-4o", messages=[{"role": "user", "content": "Hey"}])
print(response)
@ -409,8 +409,8 @@ import openai
openai.api_key = "any-string-here"
openai.api_base = "http://0.0.0.0:8080" # your proxy url
# call gpt-3.5-turbo
response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hey"}])
# call gpt-4o
response = openai.ChatCompletion.create(model="gpt-4o", messages=[{"role": "user", "content": "Hey"}])
print(response)

14
docs/my-website/docs/set_keys.md
View file

@ -74,7 +74,7 @@ This variable is checked for all providers
import litellm
# openai call
litellm.api_key = "sk-OpenAIKey"
response = litellm.completion(messages=messages, model="gpt-3.5-turbo")
response = litellm.completion(messages=messages, model="gpt-4o")
# anthropic call
litellm.api_key = "sk-AnthropicKey"
@ -85,7 +85,7 @@ response = litellm.completion(messages=messages, model="claude-2")
```python
litellm.openai_key = "sk-OpenAIKey"
response = litellm.completion(messages=messages, model="gpt-3.5-turbo")
response = litellm.completion(messages=messages, model="gpt-4o")
# anthropic call
litellm.anthropic_key = "sk-AnthropicKey"
@ -97,7 +97,7 @@ response = litellm.completion(messages=messages, model="claude-2")
```python
import litellm
litellm.api_base = "https://hosted-llm-api.co"
response = litellm.completion(messages=messages, model="gpt-3.5-turbo")
response = litellm.completion(messages=messages, model="gpt-4o")
```
### litellm.api_version
@ -105,14 +105,14 @@ response = litellm.completion(messages=messages, model="gpt-3.5-turbo")
```python
import litellm
litellm.api_version = "2023-05-15"
response = litellm.completion(messages=messages, model="gpt-3.5-turbo")
response = litellm.completion(messages=messages, model="gpt-4o")
```
### litellm.organization
```python
import litellm
litellm.organization = "LiteLlmOrg"
response = litellm.completion(messages=messages, model="gpt-3.5-turbo")
response = litellm.completion(messages=messages, model="gpt-4o")
```
## Passing Args to completion() (or any litellm endpoint - `transcription`, `embedding`, `text_completion`, etc)
@ -156,7 +156,7 @@ Check if a user submitted a valid key for the model they're trying to call.
```python
key = "bad-key"
response = check_valid_key(model="gpt-3.5-turbo", api_key=key)
response = check_valid_key(model="gpt-4o", api_key=key)
assert(response == False)
```
@ -217,5 +217,5 @@ This helper tells you if you have all the required environment variables for a m
```python
from litellm import validate_environment
print(validate_environment("openai/gpt-3.5-turbo"))
print(validate_environment("openai/gpt-4o"))
```

40
docs/my-website/static/llms-full.txt
View file

@ -73,7 +73,7 @@ import os
os.environ["OPENAI_API_KEY"] = "your-api-key"
response = completion(
model="gpt-3.5-turbo",
model="gpt-4o",
messages=[{ "content": "Hello, how are you?","role": "user"}]
)
@ -218,7 +218,7 @@ import os
os.environ["OPENAI_API_KEY"] = "your-api-key"
response = completion(
model="gpt-3.5-turbo",
model="gpt-4o",
messages=[{ "content": "Hello, how are you?","role": "user"}],
stream=True,
)
@ -386,7 +386,7 @@ os.environ["OPENAI_API_KEY"]
litellm.success_callback = ["lunary", "mlflow", "langfuse", "helicone"] # log input/output to lunary, mlflow, langfuse, helicone
#openai call
response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
response = completion(model="gpt-4o", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
```
@ -413,7 +413,7 @@ litellm.success_callback = [track_cost_callback] # set custom callback function
# litellm.completion() call
response = completion(
model="gpt-3.5-turbo",
model="gpt-4o",
messages=[\
{\
"role": "user",\
@ -467,7 +467,7 @@ Example `litellm_config.yaml`
```codeBlockLines_e6Vv
model_list:
- model_name: gpt-3.5-turbo
- model_name: gpt-4o
litellm_params:
model: azure/<your-azure-model-deployment>
api_base: os.environ/AZURE_API_BASE # runs os.getenv("AZURE_API_BASE")
@ -495,7 +495,7 @@ docker run \
import openai # openai v1.0.0+
client = openai.OpenAI(api_key="anything",base_url="http://0.0.0.0:4000") # set proxy to base_url
# 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"\
@ -621,9 +621,9 @@ Here's the exact json output you can expect from a litellm `completion` call:
| Model Name | Function Call | Required OS Variables |
| --- | --- | --- |
| gpt-3.5-turbo | `completion('gpt-3.5-turbo', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-3.5-turbo-16k | `completion('gpt-3.5-turbo-16k', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-3.5-turbo-16k-0613 | `completion('gpt-3.5-turbo-16k-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-4o | `completion('gpt-4o', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-4o-16k | `completion('gpt-4o-16k', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-4o-16k-0613 | `completion('gpt-4o-16k-0613', messages)` | `os.environ['OPENAI_API_KEY']` |
| gpt-4 | `completion('gpt-4', messages)` | `os.environ['OPENAI_API_KEY']` |
## Azure OpenAI Chat Completion Models [​](https://docs.litellm.ai/completion/supported\#azure-openai-chat-completion-models "Direct link to Azure OpenAI Chat Completion Models")
@ -632,7 +632,7 @@ For Azure calls add the `azure/` prefix to `model`. If your azure deployment nam
| Model Name | Function Call | Required OS Variables |
| --- | --- | --- |
| gpt-3.5-turbo | `completion('azure/gpt-3.5-turbo-deployment', messages)` | `os.environ['AZURE_API_KEY']`, `os.environ['AZURE_API_BASE']`, `os.environ['AZURE_API_VERSION']` |
| gpt-4o | `completion('azure/gpt-4o-deployment', messages)` | `os.environ['AZURE_API_KEY']`, `os.environ['AZURE_API_BASE']`, `os.environ['AZURE_API_VERSION']` |
| gpt-4 | `completion('azure/gpt-4-deployment', messages)` | `os.environ['AZURE_API_KEY']`, `os.environ['AZURE_API_BASE']`, `os.environ['AZURE_API_VERSION']` |
### OpenAI Text Completion Models [​](https://docs.litellm.ai/completion/supported\#openai-text-completion-models "Direct link to OpenAI Text Completion Models")
@ -678,8 +678,8 @@ All the text models from [OpenRouter](https://openrouter.ai/docs) are supported
| Model Name | Function Call | Required OS Variables |
| --- | --- | --- |
| openai/gpt-3.5-turbo | `completion('openai/gpt-3.5-turbo', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
| openai/gpt-3.5-turbo-16k | `completion('openai/gpt-3.5-turbo-16k', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
| openai/gpt-4o | `completion('openai/gpt-4o', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
| openai/gpt-4o-16k | `completion('openai/gpt-4o-16k', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
| openai/gpt-4 | `completion('openai/gpt-4', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
| openai/gpt-4-32k | `completion('openai/gpt-4-32k', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
| anthropic/claude-2 | `completion('anthropic/claude-2', messages)` | `os.environ['OR_SITE_URL']`, `os.environ['OR_APP_NAME']`, `os.environ['OR_API_KEY']` |
@ -874,7 +874,7 @@ os.environ['SENTRY_DSN'], os.environ['SENTRY_API_TRACE_RATE']= ""
os.environ['POSTHOG_API_KEY'], os.environ['POSTHOG_API_URL'] = "api-key", "api-url"
os.environ["HELICONE_API_KEY"] = ""
response = completion(model="gpt-3.5-turbo", messages=messages)
response = completion(model="gpt-4o", messages=messages)
```
@ -916,7 +916,7 @@ os.environ["OPENAI_API_KEY"], os.environ["COHERE_API_KEY"] = "", ""
litellm.success_callback=["helicone"]
#openai call
response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
response = completion(model="gpt-4o", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
#cohere call
response = completion(model="command-nightly", messages=[{"role": "user", "content": "Hi 👋 - i'm cohere"}])
@ -942,7 +942,7 @@ litellm.api_base = "https://oai.hconeai.com/v1"
litellm.headers = {"Helicone-Auth": f"Bearer {os.getenv('HELICONE_API_KEY')}"}
response = litellm.completion(
model="gpt-3.5-turbo",
model="gpt-4o",
messages=[{"role": "user", "content": "how does a court case get to the Supreme Court?"}]
)
@ -1020,7 +1020,7 @@ litellm.success_callback=["supabase"]
litellm.failure_callback=["supabase"]
#openai call
response = completion(model="gpt-3.5-turbo", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
response = completion(model="gpt-4o", messages=[{"role": "user", "content": "Hi 👋 - i'm openai"}])
#bad call
response = completion(model="chatgpt-test", messages=[{"role": "user", "content": "Hi 👋 - i'm a bad call to test error logging"}])
@ -3340,7 +3340,7 @@ curl -i http://localhost:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \
-d '{
"model": "gpt-3.5-turbo",
"model": "gpt-4o",
"messages": [\
{"role": "user", "content": "hi my email is ishaan@berri.ai"}\
],
@ -5727,7 +5727,7 @@ curl -i http://localhost:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \
-d '{
"model": "gpt-3.5-turbo",
"model": "gpt-4o",
"messages": [\
{"role": "user", "content": "hi my email is ishaan@berri.ai"}\
],
@ -6605,7 +6605,7 @@ curl -i http://localhost:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \
-d '{
"model": "gpt-3.5-turbo",
"model": "gpt-4o",
"messages": [\
{"role": "user", "content": "hi my email is ishaan@berri.ai"}\
],
@ -7071,7 +7071,7 @@ curl -i http://localhost:4000/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer sk-npnwjPQciVRok5yNZgKmFQ" \
-d '{
"model": "gpt-3.5-turbo",
"model": "gpt-4o",
"messages": [\
{"role": "user", "content": "hi my email is ishaan@berri.ai"}\
],