Advanced AI-Agent Framework: New Models, Configuration, and user Interaction Features #121
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This update introduces several significant enhancements to the AI-agent framework, aimed at improving functionality, user interaction, and system efficiency. Key updates include: 1. Integration of Advanced AI Models: - Chat Model Options: Added multiple chat model options, including OpenAI’s GPT-4o-mini, Ollama’s Gemma2, and others, allowing flexibility to choose the most suitable model for different scenarios. - Utility Model: Configured the utility model to use the same chat model, which can be changed as needed for specific use cases. - Embedding Model: Introduced new embedding models such as OpenAI's `text-embedding-3-small`, providing advanced text embedding capabilities for memory management. 2. Agent Configuration Enhancements: - Docker and SSH Support: Enabled configurations for both Docker and SSH-based code execution, allowing agents to execute code securely and efficiently within isolated environments. - Dynamic Memory Management: Adjusted parameters for automatic memory management and response handling, ensuring better performance and scalability. 3. Improved User Interaction: - Timeout Input Handling: Enhanced user input functionality with timeout handling, providing a more responsive and user-friendly experience. The `timeout_input` function now supports timeout-based input collection. - Intervention Handling: Added mechanisms for user intervention during agent streaming, allowing users to pause and resume the agent's operation based on real-time input. 4. Bug Fixes and Optimizations: - Dependency Issues: Addressed missing import issues related to the `ansio` package, ensuring the script's smooth execution. - Code Structure and Clarity: Refactored code to improve readability and maintainability, including better management of global variables and threading logic. These updates collectively enhance the framework's capability to handle complex interactions, execute code in varied environments, and manage user inputs more effectively. The improvements ensure a more robust and versatile agent system.
Integrate Advanced AI Models and Enhance Agent Configuration and User Input
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1. Summary:
The AI-Agent framework has some new models, like OpenAI GPT-4o-mini and Ollama's Gemma2, new flexible configurations for Docker and SSH-based environments user interaction delays real-time input management. The
utility_llmand text embedding models are newer versions for consistency and better text handling. Bug fixes and code refactoring ensure stability.2. Related Issues
3. Discussions:
The main topics are the model support expansion, Docker/SSH configuration refinements, and improved user interaction.
4. QA Instructions:
Check the integration of new models and user interaction improvements. Verify that Docker and SSH configurations work well under varying loads.
5. Merge Plan:
After QA, merge in as long as new models and user interaction features are working as expected; also, ensure regression in agent framework stability is not introduced.