#reverse engineering
Bard
Discover the reverse engineering process of the Google Bard chatbot API. The documentation offers comprehensive instructions on installing, authenticating, and utilizing Bard, with guidance on both synchronous and asynchronous operations. Understand how to configure environment variables for prompt access and leverage the chatbot for streamlined interactions. The resource includes example scripts and advice on effectively integrating Bard's capabilities, making it suitable for developers interested in improving chatbot interaction through sophisticated API features.
FakeOAI
Understand the complexities and challenges of reverse engineering, a practice that can expose hidden vulnerabilities and drive technological advancement. This guide covers the key methods, challenges, and ethical questions linked to reverse engineering.
maotai
This Node.js project facilitates daily reservations for Huluwa and iMaotai, providing API access for Huluwa draws despite its current suspension. A new online reservation platform is in development, aiming for enhanced functionality through community input. Technical discussions are encouraged in Telegram and QQ groups. The open-source nature allows community participation in script improvements. The project is intended strictly for personal educational use, and any misuse is not the responsibility of the developers.
EdgeGPT
Examine Bing's chat capabilities via reverse engineering with Python 3.8+, cookies, and Selenium, focusing on async requests and Docker compatibility. Although archived, the detailed setup guides enable exploration of chatbot and image generation innovations.
reverse-engineering-assistant
ReVa enhances reverse engineering by integrating a disassembler-agnostic AI assistant with a tool-driven approach, providing small tools that complement large language models (LLMs). Its advanced capabilities include chain-of-reasoning techniques and schema-directed inputs. Supporting both OpenAI and Ollama models for online and local inference, users benefit from its seamless integration with Ghidra, offering interactive 'reva-chat' sessions. ReVa breaks down complex tasks into manageable actions, reducing hallucinations and providing detailed insights into LLM reasoning.
free-one-api
This open-source project offers a standardized OpenAI API format to access diverse LLM reverse engineering libraries, featuring auto load balancing, a user-friendly Web UI, and stream mode compatibility. It efficiently integrates multiple LLM libraries while ensuring stable operation with heartbeat monitoring and automatic channel management. Designed to complement the 'one-api' project, it invites community contributions for adapter testing and enhancement. Comprehensive deployment and configuration guides are available on its GitHub and official site.
reverse-engineered-chatgpt
Enables integration of OpenAI's ChatGPT into Python apps, bypassing the need for an API key and cost. By simulating web requests through reverse-engineering, it provides complimentary access to ChatGPT services. The project features both synchronous and asynchronous Python support, with detailed setup guides and examples for use. Ideal for developers aiming to add ChatGPT functionality without incurring additional subscription fees. Contributions and enhancements are welcome in this open-source Python project.
chatrapper
This API wrapper facilitates the incorporation of web-based ChatGPT functionality into code with ease. Designed for both synchronous and asynchronous use, it requires an access token and includes usage demonstrations. It is important to maintain token security and use the API within reasonable limits to prevent security alerts. As OpenAI has tightened restrictions on reverse engineering, this API serves as a practical tool, while other options like Groq’s Llama 3 offer free or cheaper alternatives. Installation is straightforward with a simple pip command.
mybatis-plus-code-generator
The MyBatis-Plus Code Generator efficiently automates CRUD operation creation, offering features such as automatic generation of models, DAOs, XML, service interfaces, and implementation classes. It includes builder pattern support, Swagger2, and Kotlin code generation. Ideal for projects needing custom configurations, it can be deployed via JAR, Docker, or by cloning, providing seamless integration across different environments. This tool enhances productivity by simplifying the initial development setup and reducing overhead.
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