Update requirements.txt to include sse-starlette dependency, enhance serve.py with additional imports for FastLanguageModel and FastVisionModel, and refactor train.py for improved organization and memory tracking during model training.
Add serve.py for model deployment and API integration, update requirements.txt for smolagents with vllm support, and enhance .gitignore to exclude memory snapshot files. Additionally, implement testing configuration in config.yaml and modify train.py for memory tracking and model saving in VLLM format.
Add hydra integration and configuration support in train.py, allowing dynamic model loading and training control. Update requirements.txt to include hydra-core dependency and introduce config.yaml for model parameters and training settings.
Enhance project structure by adding new files and updating dependencies. Introduce model_factory.py for streamlined model creation using environment variables. Update .gitignore to exclude additional cache and model files. Modify main_v2.py to utilize ModelFactory for model instantiation and adjust API key loading. Expand requirements.txt with new dependencies for improved functionality. Add new notebooks for fine-tuning and model training, enhancing project documentation and usability.
Update SmartSearchTool to utilize Wikipedia API for content retrieval, enhancing search functionality. Refactor methods for cleaning and formatting Wikipedia content, and update requirements.txt to include new dependencies such as beautifulsoup4 and markdown.
Update requirements.txt to add new dependencies for enhanced functionality, including kagglehub, langchain, and llama-index packages. Refactor SmartSearchTool in tool.py to replace Wikipedia search with a webpage visiting approach, improving content retrieval from web search results. Update tool description and logging for better clarity and usability.
Enhance agent functionality in main_v2.py by adding WikipediaSearchTool and updating DuckDuckGoSearchTool and VisitWebpageTool parameters. Modify agent initialization to accommodate new tools and increase max results and output length. Update requirements.txt to include Wikipedia-API dependency. Refactor imports for better organization across agent modules.
Refactor agent structure by modularizing agent implementations into separate directories for web, data analysis, and media agents. Remove legacy code from agents.py, prompts.py, and tools.py, enhancing maintainability. Update main_v2.py to reflect new import paths and agent initialization. Add new tools for enhanced functionality, including web searching and data extraction. Update requirements.txt to include necessary dependencies for new tools.
Refactor app.py to import main from main_v2.py, enhancing modularity. Introduce main_v2.py with a new agent implementation, including OpenTelemetry integration and YAML-based prompt templates. Update requirements.txt to reflect the latest smolagents version. Add tasks.json for VSCode to streamline development workflows.
Integrate telemetry support in main.py by registering the SmolagentsInstrumentor for enhanced monitoring. Update the main function to simplify question enhancement instructions and improve clarity. Modify extract_final_answer utility to prioritize 'final_answer_text' in results. Update requirements.txt to include telemetry dependencies for smolagents.
Add .env.example for API configuration and update .gitignore to exclude .env files. Refactor app.py to implement BasicAgent class, replacing AgentRunner, and improve error handling and logging. Remove unused configuration and graph modules to streamline the codebase.
Refactor agent.py and graph.py to enhance agent functionality and logging. Introduce Configuration class for managing parameters, improve state handling in AgentRunner, and update agent graph to support step logging and user interaction. Add new tests for agent capabilities and update requirements for code formatting tools.
