phoenix/litellm-mirror
0
0
Fork 1
mirror of https://github.com/BerriAI/litellm.git synced 2025-04-26 03:04:13 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

(feat) add mistral api

Browse source
This commit is contained in:
ishaan-jaff 2023-12-14 18:17:48 +05:30
parent 77b26fe9bb
commit 7945664e61
3 changed files with 26 additions and 1 deletions
Download patch file Download diff file Expand all files Collapse all files

21
litellm/utils.py
View file

@ -2681,6 +2681,20 @@ def get_optional_params( # use the openai defaults
optional_params["stream"] = stream
if max_tokens:
optional_params["max_tokens"] = max_tokens
elif custom_llm_provider == "mistral":
supported_params = ["temperature", "top_p", "stream", "max_tokens", "safe_mode", "random_seed"]
_check_valid_arg(supported_params=supported_params)
optional_params = non_default_params
if temperature is not None:
if temperature == 0 and model == "mistralai/Mistral-7B-Instruct-v0.1": # this model does no support temperature == 0
temperature = 0.0001 # close to 0
optional_params["temperature"] = temperature
if top_p is not None:
optional_params["top_p"] = top_p
if stream is not None:
optional_params["stream"] = stream
if max_tokens is not None:
optional_params["max_tokens"] = max_tokens
else: # assume passing in params for openai/azure openai
supported_params = ["functions", "function_call", "temperature", "top_p", "n", "stream", "stop", "max_tokens", "presence_penalty", "frequency_penalty", "logit_bias", "user", "response_format", "seed", "tools", "tool_choice", "max_retries"]
_check_valid_arg(supported_params=supported_params)
@ -2751,6 +2765,10 @@ def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_
# deepinfra is openai compatible, we just need to set this to custom_openai and have the api_base be https://api.endpoints.anyscale.com/v1
api_base = "https://api.deepinfra.com/v1/openai"
dynamic_api_key = get_secret("DEEPINFRA_API_KEY")
elif custom_llm_provider == "mistral":
# mistral is openai compatible, we just need to set this to custom_openai and have the api_base be https://api.mistral.ai
api_base = "https://api.mistral.ai/v1"
dynamic_api_key = get_secret("MISTRAL_API_KEY")
return model, custom_llm_provider, dynamic_api_key, api_base
# check if api base is a known openai compatible endpoint
@ -2766,6 +2784,9 @@ def get_llm_provider(model: str, custom_llm_provider: Optional[str] = None, api_
elif endpoint == "api.deepinfra.com/v1/openai":
custom_llm_provider = "deepinfra"
dynamic_api_key = get_secret("DEEPINFRA_API_KEY")
elif endpoint == "api.mistral.ai/v1":
custom_llm_provider = "mistral"
dynamic_api_key = get_secret("MISTRAL_API_KEY")
return model, custom_llm_provider, dynamic_api_key, api_base
# check if model in known model provider list -> for huggingface models, raise exception as they don't have a fixed provider (can be togetherai, anyscale, baseten, runpod, et.)