{"id":8372,"library":"open-interpreter","title":"Open Interpreter","description":"Open Interpreter is an open-source library that enables Large Language Models (LLMs) to run code (Python, Javascript, Shell, and more) locally on your machine. It provides a natural-language chat interface for interacting with your computer's general-purpose capabilities, such as creating/editing files, controlling browsers, and analyzing data. It serves as a powerful local alternative to ChatGPT's Code Interpreter, operating without sandbox limits. The current version is 0.4.3, with frequent updates and major releases, indicating an active development cadence.","status":"active","version":"0.4.3","language":"en","source_language":"en","source_url":"https://github.com/OpenInterpreter/open-interpreter","tags":["AI","LLM","code-execution","automation","agent","natural-language-interface"],"install":[{"cmd":"pip install open-interpreter","lang":"bash","label":"Standard installation"},{"cmd":"pip install open-interpreter[local]","lang":"bash","label":"With local LLM support"}],"dependencies":[{"reason":"Required for running the library. Docs recommend Python 3.10 or 3.11.","package":"python","optional":false},{"reason":"Required for using OpenAI models as the LLM backend.","package":"openai","optional":true},{"reason":"Required for using Llama-based local LLMs. Can be complex to install.","package":"llama-cpp-python","optional":true},{"reason":"Used internally to connect to various language models.","package":"litellm","optional":false}],"imports":[{"note":"The primary way to interact with the library.","symbol":"interpreter","correct":"from interpreter import interpreter"}],"quickstart":{"code":"import os\nfrom interpreter import interpreter\n\n# Configure API key for hosted models (e.g., OpenAI)\n# For local models, this might not be needed or setup differently.\nos.environ['OPENAI_API_KEY'] = os.environ.get('OPENAI_API_KEY', 'YOUR_OPENAI_API_KEY')\n\n# Enable auto_run with caution, or let it prompt for confirmation\ninterpreter.auto_run = False # Set to True to bypass confirmation, use with extreme caution\n\nprint(\"Starting interactive Open Interpreter chat. Type 'quit' to exit.\\n\")\n\n# Start an interactive chat\n# The interpreter will ask for confirmation before executing code by default.\ninterpreter.chat()","lang":"python","description":"This quickstart demonstrates how to initialize Open Interpreter and start an interactive chat session. It includes a placeholder for setting the OpenAI API key, which is necessary when using hosted models. By default, Open Interpreter asks for user confirmation before executing any code for safety reasons. `auto_run = True` can bypass this, but should be used with extreme caution as code executes directly on your system."},"warnings":[{"fix":"Always review the generated code carefully before approving execution. Avoid using `auto_run = True` or `-y` in production environments or with untrusted input. Consider running in a sandboxed environment (e.g., Docker, VM) for sensitive tasks.","message":"Open Interpreter executes code directly on your local system, allowing it to modify files, install packages, and interact with system settings. While it prompts for confirmation by default, bypassing this with `interpreter.auto_run = True` or `interpreter -y` carries significant risk, including data loss or security vulnerabilities.","severity":"breaking","affected_versions":"All versions"},{"fix":"Use Python 3.10 or 3.11. If encountering installation errors, verify your Python version and consider using a virtual environment (e.g., `conda`, `venv`) to manage dependencies.","message":"Python version compatibility can be strict, especially for optional dependencies like `llama-cpp-python`. While PyPI states `>=3.9, <4`, official documentation often recommends Python 3.10 or 3.11 and notes issues with Python 3.12 for some dependencies.","severity":"gotcha","affected_versions":"All versions, particularly with `llama-cpp-python`"},{"fix":"Set the `OPENAI_API_KEY` environment variable before running the interpreter. For example, `export OPENAI_API_KEY=\"your_key_here\"` on Linux/macOS or via code `os.environ['OPENAI_API_KEY'] = 'your_key'`.","message":"When using hosted LLMs (e.g., OpenAI's GPT-4), an API key must be configured. For OpenAI, this is typically done by setting the `OPENAI_API_KEY` environment variable.","severity":"gotcha","affected_versions":"All versions"},{"fix":"Ensure your OpenAI account has access to the GPT-4 API. This may require having a paid account or sufficient usage history. Alternatively, select a different model available to your account (e.g., `gpt-3.5-turbo`) by setting `interpreter.llm.model = \"gpt-3.5-turbo\"`.","message":"Users often encounter `InvalidRequestError: The model gpt-4 does not exist or you do not have access to it` when trying to use GPT-4.","severity":"gotcha","affected_versions":"All versions with OpenAI API"}],"env_vars":null,"last_verified":"2026-04-16T00:00:00.000Z","next_check":"2026-07-15T00:00:00.000Z","problems":[{"fix":"Manually install `llama-cpp-python` first: `pip install llama-cpp-python`. If it fails, install 'Visual Studio 2019/2022 Community Edition' with 'Desktop development with C++' workload, then retry `llama-cpp-python` installation, and finally `pip install open-interpreter`.","cause":"Problem installing `llama-cpp-python` on Windows, often due to missing C++ build tools or specific compiler requirements.","error":"OSError: [WinError 10106] The requested service provider could not be loaded or initialized Error during installation with OpenBLAS: Command [...] 'llama-cpp-python']' returned non-zero exit status 1."},{"fix":"Check your OpenAI account's API access and billing status. If GPT-4 is unavailable, use `interpreter.llm.model = \"gpt-3.5-turbo\"` or another accessible model.","cause":"Your OpenAI account does not have API access to the GPT-4 model.","error":"openai.error.InvalidRequestError: The model gpt-4 does not exist or you do not have access to it."},{"fix":"Ensure Python is correctly installed, and pip is part of the installation. You can often reinstall/update pip using `python -m ensurepip --upgrade` or `python -m pip install -U pip`.","cause":"The Python `pip` package manager is not properly installed or accessible in your environment.","error":"No module named pip"},{"fix":"When performing operations like changing directories or creating files, be explicit about full paths. If using Python's `os.chdir()`, remember it only affects the Python process. For persistent shell-level changes, ensure the interpreter directly runs shell commands (e.g., `cd`) in the desired context, or integrate with its `computer.run()` methods for more direct system interaction.","cause":"The interpreter might be executing Python scripts in an isolated subprocess, or its understanding of the current working directory doesn't match the shell's, especially for commands that affect the shell's state.","error":"Interpreter runs code, but expected changes (e.g., creating files, changing directories) don't persist or are in the wrong location."}]}