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Claude3 5 Agent Python

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Basic Information

This repository provides a command-line AI assistant built around Anthropic's Claude model. It is designed to help developers, researchers, and curious users perform interactive conversations, code and text analysis, web summarization, and autonomous multi-step task execution from a terminal. The project bundles a set of tools to inspect and modify project files, run linters and formatters, fetch and summarize web content via the Tavily search API, and run simple data or system commands. It requires Python 3.7 or higher and API keys for Anthropic and Tavily supplied through a .env configuration. The main entry point is a Python script that launches a tool table and chat interface, and it supports special commands to enter an autonomous mode or exit the session. The repository is open source under the MIT License.

Links

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App URL
https://github.com/raulduke9119/Claude3-5-Agent-Python
Github Repository
https://github.com/raulduke9119/Claude3-5-Agent-Python/blob/main/README.md

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App Details

Features
The README lists an interactive AI chat for free-form conversation and problem solving and an autonomous mode that performs multi-iteration task execution without constant user input. Web intelligence features include webpage summarization and live searches via the Tavily API. Code assistance features include running Pylint for quality checks, autopep8 for formatting, and file and folder management operations such as create, read, edit, and list. Natural language tools include sentiment analysis, entity extraction, and text summarization. System integration allows executing shell commands. Utility tools include a basic calculator. The project exposes named tools like create_folder, create_file, edit_and_apply, read_file, list_files, tavily_search, calculator, sentiment_analysis, entity_extraction, summarize, summarize_webpage, pylint_check, autopep8_format, and shell_command.
Use Cases
This assistant streamlines developer workflows by combining conversational AI with practical project tools. It helps with code quality and style by running Pylint checks and autopep8 formatting, which reduces manual review and enforces standards. File and folder creation plus read and edit capabilities let the agent make iterative code or documentation changes. Web summarization and Tavily search give quick, current research and context without leaving the terminal. NLP utilities like sentiment analysis, entity extraction, and summarization speed up text processing tasks. Autonomous mode enables longer multi-step operations to be executed with minimal supervision. Shell command execution and a calculator provide lightweight system and computation support. Configuration via environment variables centralizes API keys for reproducible runs.

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