Felix Pinkston
May 20, 2025 05:55
Together AI introduces Code Sandbox and Code Interpreter, offering developers advanced tools to streamline AI code execution with secure, scalable environments.
The landscape of AI development is set to evolve with the introduction of Together Code Sandbox and Together Code Interpreter, two innovative products from Together AI designed to enhance code execution for developers. According to together.ai, these tools aim to address the challenges developers face in creating secure, customizable, and performant environments for code execution.
Together Code Sandbox: Streamlining Development Environments
Together Code Sandbox provides developers with customizable microVM environments, allowing for the swift creation of full-scale development setups tailored for AI. This tool is built on robust infrastructure that supports large-scale deployments, enabling fast and scalable snapshotting, and offering a suite of dev tools for enhanced control.
With features such as VM scaling and persistent storage, Code Sandbox ensures a seamless development experience. Notably, companies like HeroUI have leveraged this platform to significantly reduce development time and enhance performance, exemplifying the tool’s capability to boost efficiency in AI projects.
Together Code Interpreter: Simplifying Code Execution
For straightforward code execution needs, Together Code Interpreter offers an API that allows for the execution of Python code in secure, isolated environments. Designed for tasks such as reinforcement learning, TCI supports session-based execution, providing a simple pricing model of $0.03 per session.
This tool is particularly useful for applications requiring rapid code evaluation, as demonstrated by projects like Agentica, which have integrated TCI to accelerate training cycles dramatically.
Choosing Between Code Sandbox and Code Interpreter
While both products share the same foundational infrastructure, they cater to different developer needs. Together Code Sandbox is suitable for complex workflows requiring configurable environments, while Code Interpreter is ideal for quick, session-based code executions.
A comparison of their features highlights the distinct advantages each offers, guiding developers in selecting the right tool for their specific use cases.
Conclusion
The launch of Together Code Sandbox and Code Interpreter represents a significant advancement in overcoming the challenges faced by LLMs in code execution. These tools empower developers to train, build, and scale AI coding products more efficiently. By offering quickstart guides and competitive pricing, Together AI facilitates the adoption of these solutions, paving the way for more innovative AI development.
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