fix(proxy_server.py): support model info augmenting for azure models

This commit is contained in:
Krrish Dholakia 2023-12-02 21:33:47 -08:00
parent ecddb852a2
commit add4dfc528
2 changed files with 11 additions and 1 deletions

View file

@ -1093,8 +1093,11 @@ async def model_info(request: Request):
data = copy.deepcopy(model["litellm_params"])
data["messages"] = [{"role": "user", "content": "Hey, how's it going?"}]
data["max_tokens"] = 10
print(f"data going to litellm acompletion: {data}")
response = await litellm.acompletion(**data)
litellm_model_info = litellm.model_cost.get(response["model"], {})
response_model = response["model"]
print(f"response model: {response_model}; response - {response}")
litellm_model_info = litellm.get_model_info(response_model)
model_info = model.get("model_info", {})
for k, v in litellm_model_info.items():
if k not in model_info:

View file

@ -2703,6 +2703,13 @@ def get_model_info(model: str):
except requests.exceptions.RequestException as e:
return None
try:
azure_llms = {
"gpt-35-turbo": "azure/gpt-3.5-turbo",
"gpt-35-turbo-16k": "azure/gpt-3.5-turbo-16k",
"gpt-35-turbo-instruct": "azure/gpt-3.5-turbo-instruct"
}
if model in azure_llms:
model = azure_llms[model]
if model in litellm.model_cost:
return litellm.model_cost[model]
model, custom_llm_provider, _, _ = get_llm_provider(model=model)