mightydatainc-gpt-conversation 1.2.0

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

mightydatainc-gpt-conversation

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

Installation

pip install mightydatainc-gpt-conversation

Quick Start

gpt_submit

from openai import OpenAI
from gpt_conversation 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 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 gpt_conversation 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)

JSONSchemaFormat

from openai import OpenAI
from gpt_conversation import gpt_submit, json_schema_format, JSON_INTEGER

client = OpenAI()

response_format = json_schema_format(
    "answer_payload",
    {
        "answer": "The final answer",
        "confidence": ["Confidence score", [0, 100], []],
        "rank": JSON_INTEGER,
    },
    "Structured answer payload",
)

result = gpt_submit(
    messages=[{"role": "user", "content": "Return answer as structured JSON."}],
    openai_client=client,
    json_response=response_format,
)
print(result)

Local dev (Windows)

From packages/python-gpt-conversation, activate the package venv and run tests:

.\.venv\Scripts\Activate.ps1
python -c "import sys; print(sys.executable)"
python -m unittest discover -v -s tests

Live integration tests (real API) require OPENAI_API_KEY in your environment.

Notes

• Package name for pip install is gpt-conversation.
• Python import package is gpt_conversation.
• gpt_submit supports optional warning reporting via warning_callback.