mdi-llmkit 0.1.0

Utilities for managing multi-shot conversations and structured data handling in LLM applications

mdi-llmkit

Utilities for managing LLM chat conversations and structured JSON responses with OpenAI's Responses API.

Installation

pip install mdi-llmkit

Quick Start

gpt_submit

from openai import OpenAI
from mdi_llmkit.gpt_api.functions import gpt_submit

client = OpenAI()

reply = gpt_submit(
    messages=[{"role": "user", "content": "Say hello."}],
    openai_client=client,
)
print(reply)

GptConversation

from openai import OpenAI
from mdi_llmkit.gpt_api.gpt_conversation import GptConversation

client = OpenAI()
conversation = GptConversation(openai_client=client)

reply = conversation.submit_user_message("Give me three project name ideas.")
print(reply)

JSON Response Mode

from openai import OpenAI
from mdi_llmkit.gpt_api.functions import gpt_submit

client = OpenAI()

result = gpt_submit(
    messages=[{"role": "user", "content": "Return JSON with keys a and b."}],
    openai_client=client,
    json_response=True,
)

print(type(result))  # dict or list
print(result)

Notes

• Package name for pip install is mdi-llmkit.
• Python import package is mdi_llmkit.
• gpt_submit supports optional warning reporting via warning_callback.