alihan/tokencost
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updated readme

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reibs
2023-12-26 15:54:19 -08:00
parent 4d627eb865
commit 67a7b7e482
1 changed files with 7 additions and 5 deletions
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README.md
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@@ -15,14 +15,16 @@ TokenCost is a specialized tool designed for calculating the USD cost of using m
from tokencost import calculate_prompt_cost, calculate_completion_cost
model = "gpt-3.5-turbo"
prompt = "Hello world"
prompt = [{ "role": "user", "content": "Hello world"}]
completion = "How may I assist you today?"
prompt_cost = calculate_prompt_cost(prompt, model)
completion_cost = calculate_completion_cost(completion, model)
print(f"{prompt_cost} + {completion_cost} = {prompt_cost + completion_cost}")
# 30 + 140 = 170
# In TPUs (token price units), which is 1/10,000,000th of a USD.
# 135 + 140 = 275 ($0.0000275)
# Priced in TPUs (token price units), which is 1/10,000,000th of a USD.
```
## Installation
@@ -70,7 +72,7 @@ completion = chat_completion.choices[0].message.content
prompt_cost = calculate_prompt_cost(prompt, model)
completion_cost = calculate_completion_cost(completion, model)
print(f"{prompt_cost} + {completion_cost} = {prompt_cost + completion_cost}")
# 180 + 100 = 280
# 180 + 100 = 280 ($0.0000280)
from tokencost import USD_PER_TPU
print(f"Cost USD: ${(prompt_cost + completion_cost)/USD_PER_TPU}")
@@ -85,7 +87,7 @@ model= "gpt-3.5-turbo"
prompt_cost = calculate_prompt_cost(prompt_string, model)
print(f"Cost: ${prompt_cost/USD_PER_TPU}")
# Cost: $3e-06
# Cost: $2e-07
```
**Counting tokens**