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If you don't have the instant messaging platform you need or you want to develop a new application, you are welcome to contribute to this repository. You can develop a new Controller by using Event.py. Compatibility with multiple LLMs and integration with GPT and third-party systems is handled by our llm-kira project on GitHub. It can accurately limit billing, with limits and ID binding. Supports asynchronous operations and can handle multiple requests simultaneously. Allows for private and group chats, catering to different scenarios. Implements chat rate limiting to avoid overly frequent requests. Provides entertainment and interactive features, allowing for proactive engagement with users. Includes blacklists, whitelists, and quota systems to control conversation partners. Designed for full compatibility and strong scalability, adapting to different application scenarios. Features a memory pool that guarantees the storage of context memory for up to 1000 rounds.
Features
- Supports management, roles, and custom writing styles, providing more personalized options
- Integrates Azure and Whisper local voice assistants, offering more ways for voice interaction
- Allows for polling of multiple API keys for easy management, with automatic expiration reminders
- Supports multimodal interaction, including image Blip comprehension support, speech recognition, and sticker support
- Has a sound content safety system, including removable content safety components and official API filtering of content
- Theoretically supports cross-platform access to any chat platform
Project Samples
