Model Management
Add new models + Get model info without restarting proxy.
Get Model Information
Retrieve detailed information about each model listed in the /models
endpoint, including descriptions from the config.yaml
file, and additional model info (e.g. max tokens, cost per input token, etc.) pulled the model_info you set and the litellm model cost map. Sensitive details like API keys are excluded for security purposes.
curl -X GET "http://0.0.0.0:8000/model/info" \
-H "accept: application/json" \
Add a New Model
Add a new model to the list in the config.yaml
by providing the model parameters. This allows you to update the model list without restarting the proxy.
curl -X POST "http://0.0.0.0:8000/model/new" \
-H "accept: application/json" \
-H "Content-Type: application/json" \
-d '{ "model_name": "azure-gpt-turbo", "litellm_params": {"model": "azure/gpt-3.5-turbo", "api_key": "os.environ/AZURE_API_KEY", "api_base": "my-azure-api-base"} }'
Model Parameters Structure
When adding a new model, your JSON payload should conform to the following structure:
model_name
: The name of the new model (required).litellm_params
: A dictionary containing parameters specific to the Litellm setup (required).model_info
: An optional dictionary to provide additional information about the model.
Here's an example of how to structure your ModelParams
:
{
"model_name": "my_awesome_model",
"litellm_params": {
"some_parameter": "some_value",
"another_parameter": "another_value"
},
"model_info": {
"author": "Your Name",
"version": "1.0",
"description": "A brief description of the model."
}
}
Keep in mind that as both endpoints are in [BETA], you may need to visit the associated GitHub issues linked in the API descriptions to check for updates or provide feedback:
- Get Model Information: Issue #933
- Add a New Model: Issue #964
Feedback on the beta endpoints is valuable and helps improve the API for all users.