Skip to main content

A Python package for managing LLM chat conversation history

Project description

LLM Dialog Manager

A Python package for managing AI chat conversation history with support for multiple LLM providers (OpenAI, Anthropic, Google, X.AI) and convenient conversation management features.

Features

  • Support for multiple AI providers:
    • OpenAI (GPT-3.5, GPT-4)
    • Anthropic (Claude)
    • Google (Gemini)
    • X.AI (Grok)
  • Intelligent message role management (system, user, assistant)
  • Conversation history tracking and validation
  • Load balancing across multiple API keys
  • Error handling and retry mechanisms
  • Conversation saving and loading
  • Memory management options
  • Conversation search and indexing
  • Rich conversation display options

Installation

pip install llm-dialog-manager

Quick Start

Basic Usage

from llm_dialog_manager import ChatHistory

# Initialize with a system message
history = ChatHistory("You are a helpful assistant")

# Add messages
history.add_user_message("Hello!")
history.add_assistant_message("Hi there! How can I help you today?")

# Print conversation
print(history)

Using the AI Agent

from llm_dialog_manager import Agent

# Initialize an agent with a specific model
agent = Agent("claude-2.1", memory_enabled=True)

# Add messages and generate responses
agent.add_message("system", "You are a helpful assistant")
agent.add_message("user", "What is the capital of France?")
response = agent.generate_response()

# Save conversation
agent.save_conversation()

Advanced Features

Managing Multiple API Keys

from llm_dialog_manager import Agent

# Use specific API key
agent = Agent("gpt-4", api_key="your-api-key")

# Or use environment variables
# OPENAI_API_KEY_1=key1
# OPENAI_API_KEY_2=key2
# The system will automatically handle load balancing

Conversation Management

from llm_dialog_manager import ChatHistory

history = ChatHistory()

# Add messages with role validation
history.add_message("Hello system", "system")
history.add_message("Hello user", "user")
history.add_message("Hello assistant", "assistant")

# Search conversations
results = history.search_for_keyword("hello")

# Get conversation status
status = history.conversation_status()
history.display_conversation_status()

# Get conversation snippets
snippet = history.get_conversation_snippet(1)
history.display_snippet(1)

Environment Variables

Create a .env file in your project root:

# OpenAI
OPENAI_API_KEY_1=your-key-1
OPENAI_API_BASE_1=https://api.openai.com/v1

# Anthropic
ANTHROPIC_API_KEY_1=your-anthropic-key
ANTHROPIC_API_BASE_1=https://api.anthropic.com

# Google
GEMINI_API_KEY=your-gemini-key

# X.AI
XAI_API_KEY=your-x-key

Development

Running Tests

pytest tests/

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Support

For support, please open an issue in the GitHub repository or contact the maintainers.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llm_dialog_manager-0.1.545.tar.gz (11.6 kB view details)

Uploaded Source

Built Distribution

llm_dialog_manager-0.1.545-py3-none-any.whl (10.2 kB view details)

Uploaded Python 3

File details

Details for the file llm_dialog_manager-0.1.545.tar.gz.

File metadata

  • Download URL: llm_dialog_manager-0.1.545.tar.gz
  • Upload date:
  • Size: 11.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for llm_dialog_manager-0.1.545.tar.gz
Algorithm Hash digest
SHA256 ccb29553746054a32bddb009be8f3eba2730174ee8dbe91f07a66ecd7e3e0bac
MD5 6027fb0ba12179a48076339a647f76bb
BLAKE2b-256 672c664deb84e0c2d4faa7a5a8161e785c42652cd136fea4150cbb81c30ca3b9

See more details on using hashes here.

File details

Details for the file llm_dialog_manager-0.1.545-py3-none-any.whl.

File metadata

File hashes

Hashes for llm_dialog_manager-0.1.545-py3-none-any.whl
Algorithm Hash digest
SHA256 81657adac4c9e567f15a5b63bc3b88f33234e306e1b1d5b78b8316a8d9b8626c
MD5 3a1d5c9cb58d09512aa8b1675d7fe1af
BLAKE2b-256 a64e40ccb1b1ce36f935769a57d5a4755570557f72a1f289a1a28296117f6f9d

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page