Update OpenAIWrapper to add fine tuning functionality with unit test cases.

Openai Reference:

check Fine-tuning steps in : https://openai.com/blog/gpt-3-5-turbo-fine-tuning-and-api-updates.
full guide: https://platform.openai.com/docs/guides/fine-tuning/create-a-fine-tuned-model

Work scope: The Openai API supports the ability to upload a json file with the training data and run fine-tuning functions on the data. Supporting this in intelliNode requires adding the following minimum functions to OpenAIWrapper.js:

upload fine tuning file.
create fine tune job.
use fine tune model.

Step1: Prepare the testing data in a file, for example:

{
  "messages": [
    { "role": "system", "content": "You are an assistant that occasionally misspells words" },
    { "role": "user", "content": "Tell me a story." },
    { "role": "assistant", "content": "One day a student went to schoool." }
  ]
}

Step2: Add a function inside OpenAIWrapper that match the following call to upload the file:

curl https://api.openai.com/v1/files \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -F "purpose=fine-tune" \
  -F "file=@path_to_your_file"

Step3: Add a function inside OpenAIWrapper that match the following call to create fine tuning hob:

curl https://api.openai.com/v1/fine_tuning/jobs \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $OPENAI_API_KEY" \
-d '{
  "training_file": "TRAINING_FILE_ID",
  "model": "gpt-3.5-turbo-0613"
}'

Testing: Add the testing scripts in OpenAIWrapper.test.js:

Test calling upload file.
Test calling create fine tune job.
Test calling the existing chat function with the fine tuned model name.

intelligentnode / IntelliNode

Update OpenAIWrapper to add fine tuning functionality with unit test cases. #15