Execute Code with Sandboxes for DeepAgents
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Execute code with Sandboxes for DeepAgents. Today Langchain is excited to launch Sandboxes for DeepAgents, a new set of integrations that allow you to safely execute arbitrary DeepAgent code in remote sandboxes. Langchain currently support sandboxes from 3 of its partners: Runloop, Daytona, and Modal. Below, Langchain dive into what you can do with sandboxes and how to use them with with the DeepAgents-CLI. Why do Langchain need sandboxes? Sandboxes give Langchain a simple, configurable environment to execute code and do work outside of its local machine. Here are some scenarios where this may be useful: * Safety: Your agent is executing arbitrary code which could be harmful to your local machine (ex: rm -rf). Running in a sandbox means your machine is safe from potentially malicious code. * Clean Environments: You need specific dependencies, languages, or OS configurations without polluting your local setup. Spin up a sandbox with exactly what you need, use it, then terminate it. * Parallel Execution: Run multiple agents simultaneously, each in their own isolated environment, without resource conflicts or interference. * Long-Running Tasks: Let agents work on time-intensive operations without blocking your local machine. * Reproducibility: Guarantee consistent execution environments across your team. How it works. * Setup the sandbox (with an optional setup script) *...
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