Use codeinterpreter with AI Agents

Execute python code in a Jupyter notebook cell and returns any result, stdout, stderr, display_data, and error. Use /home/user folder to write/read files. Try to not do plt.show() as the code

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CODEINTERPRETER_EXECUTE_CODE])

RUN TERMINAL CMD

Run a command in the terminal and returns the stdout, stderr, and error code. Use /home/user folder to write/read files.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CODEINTERPRETER_RUN_TERMINAL_CMD])

GET FILE CMD

Get a file from the sandbox and returns the file. The files should be read from /home/user folder.

from composio_langchain import ComposioToolSet, Action tool_set = ComposioToolSet() tools = tool_set.get_tools(actions=[Action.CODEINTERPRETER_GET_FILE_CMD])

Frequently asked questions

What is Composio.dev?

Composio.dev is a platform for building AI applications, designed to make the process of developing AI solutions super easy and fun! It provides a comprehensive set of tools and libraries that simplify the process of developing AI solutions, allowing you to focus on the creative aspects of your project without getting bogged down by the technical details.

How does Composio.dev support codeinterpreter?

Composio.dev seamlessly integrates with codeinterpreter, allowing you to leverage its capabilities within the Composio.dev platform. You can utilize codeinterpreter to call functions across various platforms, including Google, GitHub, and others, making it a breeze to incorporate different services into your AI applications. Additionally, it supports user authentication via OAuth2 and can work in conjunction with other popular frameworks like LangChain and CrewAI, giving you the flexibility to build truly innovative AI solutions.

What models can I use with codeinterpreter?

With codeinterpreter, you have access to a wide range of state-of-the-art language models, including GPT-4o (OpenAI), GPT-3.5 (OpenAI), GPT-4 (OpenAI), Claude (Anthropic), PaLM (Google), LLaMA and LLaMA 2 (Meta), Gemini, and many others. This flexibility allows you to choose the model that best suits your specific use case, whether you're building a chatbot, a content creation tool, or any other AI-powered application. You can experiment with different models and find the one that delivers the best performance for your project.

How can I integrate codeinterpreter into my project?

Composio.dev provides a seamless integration for codeinterpreter, making it super easy to incorporate this powerful framework into your projects. You can leverage the Composio.dev API to call functions from codeinterpreter, allowing you to tap into its capabilities with just a few lines of code. The SDK is available in Python, JavaScript, and TypeScript, so you can work with your preferred programming language and integrate codeinterpreter into your projects seamlessly.

What is the pricing for codeinterpreter?

codeinterpreter is completely free to use, with a generous free tier that allows up to 1000 requests per month. This makes it accessible for developers and organizations of all sizes to explore and experiment with this powerful tool without any upfront costs. Whether you're a student working on a personal project or a startup building the next big thing, you can get started with codeinterpreter without worrying about breaking the bank.

What kind of authentication is supported for codeinterpreter?

codeinterpreter supports OAuth2 authentication, ensuring secure and authorized access to its functionalities. You can leverage the Composio.dev API to handle authentication and call functions from codeinterpreter seamlessly. The SDK is available in Python, JavaScript, and TypeScript for your convenience, making it easy to integrate authentication into your projects and keep your users' data safe and secure.

Can I add codeinterpreter to my project?

Absolutely! You can easily incorporate codeinterpreter into your project by utilizing the Composio.dev API. This API allows you to call functions from codeinterpreter, enabling you to leverage its capabilities within your application. The SDK is available in Python, JavaScript, and TypeScript to facilitate integration, so you can work with the language you're most comfortable with and add codeinterpreter to your project with ease.

What is the accuracy of codeinterpreter?

codeinterpreter is designed to provide highly accurate and reliable results, ensuring that your AI applications perform at their best. The integration with Composio.dev ensures precise function calls, enabling you to build robust and powerful AI applications with confidence. codeinterpreter's comprehensive framework and the ability to leverage state-of-the-art models ensure reliable and accurate outcomes for your AI development needs, whether you're working on a chatbot, a content creation tool, or any other AI-powered project.

What are some common use cases for codeinterpreter?

codeinterpreter can be used for a wide range of AI applications, making it a versatile tool for developers and creators alike. Some common use cases include natural language processing, text generation, question answering, sentiment analysis, and more. It's particularly useful for building chatbots, virtual assistants, content creation tools, and other AI-powered applications that can help you automate tasks, engage with users, and create compelling content. Whether you're working on a personal project or building a product for your startup, codeinterpreter can help you bring your ideas to life.

How does codeinterpreter handle data privacy and security?

Data privacy and security are crucial considerations when working with AI systems, and codeinterpreter takes these issues seriously. It follows industry best practices and adheres to strict data protection regulations, ensuring that your data is kept safe and secure. codeinterpreter provides robust security measures, such as encryption and access controls, to ensure the confidentiality and integrity of your data. You can rest assured that your sensitive information is protected when using codeinterpreter for your AI development needs.