1 files changed, 66 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/databricks/cost_calculator.py b/.venv/lib/python3.12/site-packages/litellm/llms/databricks/cost_calculator.py
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+++ b/.venv/lib/python3.12/site-packages/litellm/llms/databricks/cost_calculator.py
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+"""
+Helper util for handling databricks-specific cost calculation
+- e.g.: handling 'dbrx-instruct-*'
+"""
+
+from typing import Tuple
+
+from litellm.types.utils import Usage
+from litellm.utils import get_model_info
+
+
+def cost_per_token(model: str, usage: Usage) -> Tuple[float, float]:
+    """
+    Calculates the cost per token for a given model, prompt tokens, and completion tokens.
+
+    Input:
+        - model: str, the model name without provider prefix
+        - usage: LiteLLM Usage block, containing anthropic caching information
+
+    Returns:
+        Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
+    """
+    base_model = model
+    if model.startswith("databricks/dbrx-instruct") or model.startswith(
+        "dbrx-instruct"
+    ):
+        base_model = "databricks-dbrx-instruct"
+    elif model.startswith("databricks/meta-llama-3.1-70b-instruct") or model.startswith(
+        "meta-llama-3.1-70b-instruct"
+    ):
+        base_model = "databricks-meta-llama-3-1-70b-instruct"
+    elif model.startswith(
+        "databricks/meta-llama-3.1-405b-instruct"
+    ) or model.startswith("meta-llama-3.1-405b-instruct"):
+        base_model = "databricks-meta-llama-3-1-405b-instruct"
+    elif model.startswith("databricks/mixtral-8x7b-instruct-v0.1") or model.startswith(
+        "mixtral-8x7b-instruct-v0.1"
+    ):
+        base_model = "databricks-mixtral-8x7b-instruct"
+    elif model.startswith("databricks/mixtral-8x7b-instruct-v0.1") or model.startswith(
+        "mixtral-8x7b-instruct-v0.1"
+    ):
+        base_model = "databricks-mixtral-8x7b-instruct"
+    elif model.startswith("databricks/bge-large-en") or model.startswith(
+        "bge-large-en"
+    ):
+        base_model = "databricks-bge-large-en"
+    elif model.startswith("databricks/gte-large-en") or model.startswith(
+        "gte-large-en"
+    ):
+        base_model = "databricks-gte-large-en"
+    elif model.startswith("databricks/llama-2-70b-chat") or model.startswith(
+        "llama-2-70b-chat"
+    ):
+        base_model = "databricks-llama-2-70b-chat"
+    ## GET MODEL INFO
+    model_info = get_model_info(model=base_model, custom_llm_provider="databricks")
+
+    ## CALCULATE INPUT COST
+
+    prompt_cost: float = usage["prompt_tokens"] * model_info["input_cost_per_token"]
+
+    ## CALCULATE OUTPUT COST
+    completion_cost = usage["completion_tokens"] * model_info["output_cost_per_token"]
+
+    return prompt_cost, completion_cost