# OPEN AI API - PRICE CALCULATOR
## Overview
This package is created to calculate cost of OPEN AI API usage.
Pricing based on following url : [OPEN AI Pricing API](https://openai-api-pricing-web-api.onrender.com/openai).
Source code: [Github](https://github.com/kokenconsulting/openai-api-pricing)
## Usage
### Installation
Install Page
```
pip install openai-pricing-calc-draft
```
### Without Surrounding Code
```python
from lll_pricing_calculation import calculate_openai_pricing
# Without surrounding Code
costForThousandCurrency,embeddingsCost,promptCost,completionTokenCost,total_cost = calculate_openai_pricing("GPT-3.5 Turbo","4K context",token_counter.total_embedding_token_count,token_counter.prompt_llm_token_count,token_counter.completion_llm_token_count)
print("currency:"+costForThousandCurrency)
print("embeddingsCost:"+str(embeddingsCost))
print("promptCost:"+str(promptCost))
print("completionTokenCost:"+str(completionTokenCost))
print("total cost:"+str(total_cost))
```
### With Surrounding Code Using Llama Index
```python
import tiktoken
from llama_index.callbacks import CallbackManager, TokenCountingHandler
from llama_index import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
from lll_pricing_calculation import calculate_openai_pricing
sampleQuery = "Sample Query"
token_counter = TokenCountingHandler(
tokenizer=tiktoken.encoding_for_model("text-davinci-003").encode,
verbose=False # set to true to see usage printed to the console
)
callback_manager = CallbackManager([token_counter])
service_context = ServiceContext.from_defaults(callback_manager=callback_manager)
def askQuestion(quest,storage,service_context,token_counter):
token_counter.reset_counts()
# index defined outside
specificindex = index.get_index(dataFolder,"./storage"+storage,service_context)
print(quest)
result = query.query_index(specificindex, quest,"./storage"+storage)
print(result)
# otherwise, you can access the count directly
print("Embeddings Token Counter stuff is below (total_embedding_token_count):")
print(token_counter.total_embedding_token_count)
print("Detailed ")
print('Embedding Tokens: ', token_counter.total_embedding_token_count, '\n',
'LLM Prompt Tokens: ', token_counter.prompt_llm_token_count, '\n',
'LLM Completion Tokens: ', token_counter.completion_llm_token_count, '\n',
'Total LLM Token Count: ', token_counter.total_llm_token_count)
# CALCULATE PRICING TAKES PLACE HERE
costForThousandCurrency,embeddingsCost,promptCost,completionTokenCost,total_cost = calculate_openai_pricing("GPT-3.5 Turbo","4K context",token_counter.total_embedding_token_count,token_counter.prompt_llm_token_count,token_counter.completion_llm_token_count)
print("currency:"+costForThousandCurrency)
print("embeddingsCost:"+str(embeddingsCost))
print("promptCost:"+str(promptCost))
print("completionTokenCost:"+str(completionTokenCost))
print("total cost:"+str(total_cost))
askQuestion(sampleQuery,"4",service_context,token_counter)
```
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