Timeouts
The timeout set in router is for the entire length of the call, and is passed down to the completion() call level as well.
Global Timeouts​
- SDK
- PROXY
from litellm import Router
model_list = [{...}]
router = Router(model_list=model_list,
timeout=30) # raise timeout error if call takes > 30s
print(response)
router_settings:
timeout: 30 # sets a 30s timeout for the entire call
Start Proxy
$ litellm --config /path/to/config.yaml
Custom Timeouts, Stream Timeouts - Per Model​
For each model you can set timeout
& stream_timeout
under litellm_params
- SDK
- PROXY
from litellm import Router
import asyncio
model_list = [{
"model_name": "gpt-3.5-turbo",
"litellm_params": {
"model": "azure/chatgpt-v-2",
"api_key": os.getenv("AZURE_API_KEY"),
"api_version": os.getenv("AZURE_API_VERSION"),
"api_base": os.getenv("AZURE_API_BASE"),
"timeout": 300 # sets a 5 minute timeout
"stream_timeout": 30 # sets a 30s timeout for streaming calls
}
}]
# init router
router = Router(model_list=model_list, routing_strategy="least-busy")
async def router_acompletion():
response = await router.acompletion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "Hey, how's it going?"}]
)
print(response)
return response
asyncio.run(router_acompletion())
model_list:
- model_name: gpt-3.5-turbo
litellm_params:
model: azure/gpt-turbo-small-eu
api_base: https://my-endpoint-europe-berri-992.openai.azure.com/
api_key: <your-key>
timeout: 0.1 # timeout in (seconds)
stream_timeout: 0.01 # timeout for stream requests (seconds)
max_retries: 5
- model_name: gpt-3.5-turbo
litellm_params:
model: azure/gpt-turbo-small-ca
api_base: https://my-endpoint-canada-berri992.openai.azure.com/
api_key:
timeout: 0.1 # timeout in (seconds)
stream_timeout: 0.01 # timeout for stream requests (seconds)
max_retries: 5
Start Proxy
$ litellm --config /path/to/config.yaml
Setting Dynamic Timeouts - Per Request​
LiteLLM supports setting a timeout
per request
Example Usage
- SDK
- PROXY
from litellm import Router
model_list = [{...}]
router = Router(model_list=model_list)
response = router.completion(
model="gpt-3.5-turbo",
messages=[{"role": "user", "content": "what color is red"}],
timeout=1
)
- Curl Request
- OpenAI v1.0.0+
curl --location 'http://0.0.0.0:4000/chat/completions' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "gpt-3.5-turbo",
"messages": [
{"role": "user", "content": "what color is red"}
],
"logit_bias": {12481: 100},
"timeout": 1
}'
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",
messages=[
{"role": "user", "content": "what color is red"}
],
logit_bias={12481: 100},
timeout=1
)
print(response)