Secure Code Execution

At ChatBotKit, we believe AI agents should be able to not just think and respond, but also do - safely executing code to solve real problems, automate workflows, and process data dynamically. Our Secure Code Execution feature provides your AI agents with the ability to write and run code in isolated sandbox environments, combining the power of programmable automation with enterprise-grade security.

Traditional AI assistants are limited to generating text - they can suggest code but can't execute it to verify results or accomplish tasks. ChatBotKit's Secure Code Execution removes this limitation, enabling your AI to run Python scripts, execute shell commands, manipulate files, and perform complex operations all within secure, isolated containers that protect your systems and data.

Key Capabilities

Isolated Sandbox Environments

Every code execution happens in a completely isolated container with no access to your infrastructure or sensitive resources. Sandboxes are ephemeral - created on demand and automatically cleaned up after use - ensuring that nothing persists between executions unless explicitly managed through workspace integration.

Multi-Language Support

Your AI agents can write and execute code in popular programming languages including Python and JavaScript, with additional support for shell scripting. Whether analyzing data with pandas, processing JSON, or automating tasks with bash commands, your agents have the tools they need.

File System Operations

Agents can create, read, modify, and delete files within the sandbox environment. This enables sophisticated workflows like processing uploaded documents, generating reports, manipulating data files, or creating downloadable content - all programmatically through code execution.

Workspace Integration

When combined with ChatBotKit Spaces, code execution can access shared workspace files directly. Your AI can read documents from the Space, process them with custom code, and write results back - creating seamless integration between collaborative file storage and dynamic code-based processing.

Command-Line Tools

Execute shell commands to leverage standard Unix utilities, install packages, run compiled programs, or chain together complex command sequences. Your agents gain access to the full power of the command line for tasks like text processing, file manipulation, and system operations.

Real-Time Results

Code execution returns complete results including standard output, error messages, and exit codes. Your AI can analyze execution results, handle errors gracefully, and adjust its approach based on what actually happens when code runs - enabling iterative problem-solving.

Real-World Use Cases

Data Analysis and Reporting

Upload CSV or Excel files to a Space, then ask your AI agent to analyze the data. The agent writes Python code using pandas to process the data, generates statistical insights, creates visualizations, and produces formatted reports—all through secure code execution without manual programming.

Document Processing Automation

Build workflows where AI agents process uploaded documents by writing code that extracts text, parses structured data, performs transformations, and generates new documents. Perfect for automating tasks like invoice processing, report generation, or content transformation.

Dynamic Problem Solving

Give your AI the ability to solve computational problems by writing and testing code. Whether calculating complex formulas, simulating scenarios, or performing algorithmic operations, your agent can write code, execute it, verify results, and iterate until the solution is correct.

API Integration and Testing

Enable your AI to interact with external APIs by writing code that makes HTTP requests, processes responses, handles authentication, and performs data transformations. Useful for automating integrations, testing API endpoints, or building custom workflows that connect multiple services.

Content Generation and Transformation

Create systems where AI agents generate structured content programmatically - building JSON configurations, creating formatted documents, generating code snippets, or transforming data between formats—all through secure execution of custom scripts.

Automated Quality Assurance

Develop AI-powered testing workflows where agents write test scripts, execute them against your systems or data, analyze results, and report findings. Code execution enables sophisticated validation that goes beyond simple pattern matching.

How It Works

Getting started with Secure Code Execution requires just a few steps:

• Enable Shell Abilities: In your skillset configuration, activate the shell execution abilities that give your AI agents code execution capabilities
• Define Use Cases: Configure your AI's instructions to describe when and how it should use code execution to solve problems
• Integrate with Spaces (Optional): Connect Spaces to give your AI access to shared files that can be processed through code
• Set Boundaries: Define clear guidelines about what types of operations are appropriate for your specific use case

When your AI decides code execution can solve a problem, it writes the appropriate code, executes it in an isolated sandbox, receives the results, and incorporates those results into its response or next action. All of this happens transparently while maintaining security and isolation.

Security and Isolation

Every code execution occurs in a completely isolated container environment with strict resource limits and no network access to your infrastructure. Sandboxes are short-lived - automatically destroyed after execution completes or after a period of inactivity. This ensures that even if malicious code were executed, it has no ability to access, modify, or affect your systems, data, or other users.

When integrated with Spaces, access is provided through temporary, scoped credentials that expire quickly and grant only the minimum permissions required for the specific workspace being accessed. No code execution has access to your ChatBotKit account credentials, API keys, or sensitive configuration.

Getting Started

Ready to empower your AI agents with code execution capabilities? Navigate to your skillset configuration in the ChatBotKit dashboard and enable the shell execution abilities. Then update your AI's instructions to describe how it should leverage code execution to accomplish tasks and solve problems.

For advanced use cases, combine code execution with Spaces to create powerful workflows where your AI can process files, generate reports, and perform sophisticated operations on shared workspace content.

Secure Code Execution transforms your AI agents from conversational assistants into capable automation partners that can write, test, and execute code to solve real problems - all while maintaining the security and isolation your organization requires.