chatgptdevfriendly 1.0.0

A wrapper package which takes care of API call robustness to ensure developers quickly and easily develop CHatGPT based applications.

ChatGPTDevFriendly

This package can be used by developers to quickly develop ChatGPT applications with the robustness and boilerplate code being taken care of by this wrapper.

Requirements

pip install chatgptdevfriendly

Usage

All the source code is currently in src directory and also in tests with sample usage in test_main.py. You will need an OpenAI key to use this.

from chatgptdevfriendly.v1 import ChatGptSmartClient

chatgpt_client = ChatGptSmartClient(openai_api_key, model_name)
# We can query with some previous context and also decide whether to add a prompts answer to the context
prompt="List the top 10 upcoming startups in India?"
response, response_id = chatgpt_client.query(prompt, w_context=True, add_to_context=True)
print(f"The answer from ChatGPT is {response}")

# We build on previous context but do not add the current prompts answer to context
prompt="Ok thanks, can you give me the valuation of these startups in tabular format"
response  = chatgpt_client.query(prompt, w_context=True, add_to_context=False)
...

Features

• Save Conversations to a file

• Resume conversations by loading context from a file.

• Retry logic in case of API failures.

• Regular Trimming of context to 4000 tokens so that limit of 4097 is not breached.

• Total token and token vs time metric.

• Retries: This is incase of failures like connection based request exceptions, API errors.

    (openai) C:\Users\Srinivas\OneDrive\Desktop\StartupSearchGPT\tests>python test_main.py
    Error occurred: API error , please try later
    Retrying after 3 seconds...
    Error occurred: API error , please try later
    Retrying after 6 seconds...
    Error occurred: API error , please try later
    Retrying after 12 seconds...
    Error occurred: API error , please try later

• Context trimming: Context is trimmed as needed when the limit breaches 4000 tokens.

• Tracking metrics such as average time per response and total token usage.

    04-10-2023 10:26:44 | INFO | The time taken for this response is : 7.85 seconds

    04-10-2023 10:34:34 | INFO | The total tokens used up-till now is: 665
    04-10-2023 10:34:34 | INFO | The average response time is: 10.28 sec

    chatgpt_client.print_metrics()

• Erasing Context: We can erase all previous chat history to star from fresh.

    chatgpt_client.erase_history()

• Rollback: we can rollback to a particular Chatresponse context to an restart from there.

    chatgpt_client.rollback_conversation(response_id)

• Embeddings: We can get the query embeddings and cache them for further use. (In developement)

    chatgpt_client.get_embeddings()

Contributions

This project is meant to make the chatgpt developer life easy, so please do add any featues you feel is needed! Also if you fnd it useful please leave a star!!