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fix(utils.py): return cost above 128k from get_model_info

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Krrish Dholakia 2024-06-17 19:15:02 -07:00
parent 2cb9705a2b
commit e43918add5
1 changed files with 33 additions and 2 deletions
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35
litellm/utils.py
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@ -4376,7 +4376,27 @@ def get_model_info(model: str, custom_llm_provider: Optional[str] = None) -> Mod
pass
else:
raise Exception
return _model_info
return ModelInfo(
max_tokens=_model_info.get("max_tokens", None),
max_input_tokens=_model_info.get("max_input_tokens", None),
max_output_tokens=_model_info.get("max_output_tokens", None),
input_cost_per_token=_model_info.get("input_cost_per_token", 0),
input_cost_per_token_above_128k_tokens=_model_info.get(
"input_cost_per_token_above_128k_tokens", None
),
output_cost_per_token=_model_info.get("output_cost_per_token", 0),
output_cost_per_token_above_128k_tokens=_model_info.get(
"output_cost_per_token_above_128k_tokens", None
),
litellm_provider=_model_info.get(
"litellm_provider", custom_llm_provider
),
mode=_model_info.get("mode"),
supported_openai_params=supported_openai_params,
supports_system_messages=_model_info.get(
"supports_system_messages", None
),
)
elif model in litellm.model_cost:
_model_info = litellm.model_cost[model]
_model_info["supported_openai_params"] = supported_openai_params
@ -4395,7 +4415,13 @@ def get_model_info(model: str, custom_llm_provider: Optional[str] = None) -> Mod
max_input_tokens=_model_info.get("max_input_tokens", None),
max_output_tokens=_model_info.get("max_output_tokens", None),
input_cost_per_token=_model_info.get("input_cost_per_token", 0),
input_cost_per_token_above_128k_tokens=_model_info.get(
"input_cost_per_token_above_128k_tokens", None
),
output_cost_per_token=_model_info.get("output_cost_per_token", 0),
output_cost_per_token_above_128k_tokens=_model_info.get(
"output_cost_per_token_above_128k_tokens", None
),
litellm_provider=_model_info.get(
"litellm_provider", custom_llm_provider
),
@ -4405,7 +4431,6 @@ def get_model_info(model: str, custom_llm_provider: Optional[str] = None) -> Mod
"supports_system_messages", None
),
)
return _model_info
elif split_model in litellm.model_cost:
_model_info = litellm.model_cost[split_model]
_model_info["supported_openai_params"] = supported_openai_params
@ -4424,7 +4449,13 @@ def get_model_info(model: str, custom_llm_provider: Optional[str] = None) -> Mod
max_input_tokens=_model_info.get("max_input_tokens", None),
max_output_tokens=_model_info.get("max_output_tokens", None),
input_cost_per_token=_model_info.get("input_cost_per_token", 0),
input_cost_per_token_above_128k_tokens=_model_info.get(
"input_cost_per_token_above_128k_tokens", None
),
output_cost_per_token=_model_info.get("output_cost_per_token", 0),
output_cost_per_token_above_128k_tokens=_model_info.get(
"output_cost_per_token_above_128k_tokens", None
),
litellm_provider=_model_info.get(
"litellm_provider", custom_llm_provider
),