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diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/together_ai/cost_calculator.py b/.venv/lib/python3.12/site-packages/litellm/llms/together_ai/cost_calculator.py
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+"""
+Handles calculating cost for together ai models
+"""
+
+import re
+
+from litellm.types.utils import CallTypes
+
+
+# Extract the number of billion parameters from the model name
+# only used for together_computer LLMs
+def get_model_params_and_category(model_name, call_type: CallTypes) -> str:
+ """
+ Helper function for calculating together ai pricing.
+
+ Returns
+ - str - model pricing category if mapped else received model name
+ """
+ if call_type == CallTypes.embedding or call_type == CallTypes.aembedding:
+ return get_model_params_and_category_embeddings(model_name=model_name)
+ model_name = model_name.lower()
+ re_params_match = re.search(
+ r"(\d+b)", model_name
+ ) # catch all decimals like 3b, 70b, etc
+ category = None
+ if re_params_match is not None:
+ params_match = str(re_params_match.group(1))
+ params_match = params_match.replace("b", "")
+ if params_match is not None:
+ params_billion = float(params_match)
+ else:
+ return model_name
+ # Determine the category based on the number of parameters
+ if params_billion <= 4.0:
+ category = "together-ai-up-to-4b"
+ elif params_billion <= 8.0:
+ category = "together-ai-4.1b-8b"
+ elif params_billion <= 21.0:
+ category = "together-ai-8.1b-21b"
+ elif params_billion <= 41.0:
+ category = "together-ai-21.1b-41b"
+ elif params_billion <= 80.0:
+ category = "together-ai-41.1b-80b"
+ elif params_billion <= 110.0:
+ category = "together-ai-81.1b-110b"
+ if category is not None:
+ return category
+
+ return model_name
+
+
+def get_model_params_and_category_embeddings(model_name) -> str:
+ """
+ Helper function for calculating together ai embedding pricing.
+
+ Returns
+ - str - model pricing category if mapped else received model name
+ """
+ model_name = model_name.lower()
+ re_params_match = re.search(
+ r"(\d+m)", model_name
+ ) # catch all decimals like 100m, 200m, etc.
+ category = None
+ if re_params_match is not None:
+ params_match = str(re_params_match.group(1))
+ params_match = params_match.replace("m", "")
+ if params_match is not None:
+ params_million = float(params_match)
+ else:
+ return model_name
+ # Determine the category based on the number of parameters
+ if params_million <= 150:
+ category = "together-ai-embedding-up-to-150m"
+ elif params_million <= 350:
+ category = "together-ai-embedding-151m-to-350m"
+ if category is not None:
+ return category
+
+ return model_name