gptsession 1.0.0

simple, stateful conversations with OpenAI's chat models, including truncation and token metering

gptsession

Simple, stateful conversations with OpenAI's chat models, including truncation and token metering.

gptsession is a lightweight Python module for managing structured, multi-turn conversations with OpenAI’s ChatGPT models. It supports multiple concurrent sessions, automatic token tracking, message truncation, and full conversation recording.

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📦 Installation

pip install gptsession

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✨ Features

• Supports multiple parallel chat sessions
• Token-aware truncation based on model limits
• Tracks actual tokens sent and received
• Maintains full untruncated conversation history
• Clean, minimal API: setup(), say(), system(), model(), etc.

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🚀 Quick Start

import gptsession

gptsession.setup(open("mykey.txt").read().strip())
gptsession.new()
gptsession.model("gpt-3.5-turbo")
gptsession.system("You are a helpful assistant.")

reply = gptsession.say("Hello! Can you explain recursion?")
print("ChatGPT:", reply)

if gptsession.truncated():
    print("[Note: Earlier messages were removed to stay within token limits.]")

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🔄 Multiple Sessions Example

import gptsession as gpt

gpt.setup(open("mykey.txt").read().strip())

s1 = gpt.new()
gpt.system("You are a bird.")

s2 = gpt.new()
gpt.system("You are a robot.")

gpt.sel(s1)
print(gpt.say("Where do you live?"))

gpt.sel(s2)
print(gpt.say("Where do you live?"))

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📄 License

MIT License
© 2025 Lion Kimbro

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🌐 Project Links

• Homepage
• Bug Tracker