forked from phoenix/litellm-mirror
(feat) mistral - add random_seed, safe_mode params
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6cda49ac6a
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b52ffe1bdf
1 changed files with 11 additions and 3 deletions
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@ -2682,12 +2682,10 @@ def get_optional_params( # use the openai defaults
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if max_tokens:
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optional_params["max_tokens"] = max_tokens
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elif custom_llm_provider == "mistral":
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supported_params = ["temperature", "top_p", "stream", "max_tokens", "safe_mode", "random_seed"]
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supported_params = ["temperature", "top_p", "stream", "max_tokens"]
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_check_valid_arg(supported_params=supported_params)
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optional_params = non_default_params
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if temperature is not None:
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if temperature == 0 and model == "mistralai/Mistral-7B-Instruct-v0.1": # this model does no support temperature == 0
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temperature = 0.0001 # close to 0
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optional_params["temperature"] = temperature
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if top_p is not None:
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optional_params["top_p"] = top_p
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@ -2695,6 +2693,16 @@ def get_optional_params( # use the openai defaults
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optional_params["stream"] = stream
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if max_tokens is not None:
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optional_params["max_tokens"] = max_tokens
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# check safe_mode, random_seed: https://docs.mistral.ai/api/#operation/createChatCompletion
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safe_mode = passed_params.pop("safe_mode", None)
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random_seed = passed_params.pop("random_seed", None)
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extra_body = {}
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if safe_mode is not None:
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extra_body["safe_mode"] = safe_mode
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if random_seed is not None:
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extra_body["random_seed"] = random_seed
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optional_params["extra_body"] = extra_body # openai client supports `extra_body` param
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else: # assume passing in params for openai/azure openai
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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"]
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_check_valid_arg(supported_params=supported_params)
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