Build, Run, and Scale AI Agents with Urai

Code execution allows AI agents on Urai to run programming code, like Python, in a secure environment to perform tasks. This enables agents to actively interact with data and systems, moving beyond simple text responses.

Executing code allows AI agents to take direct action, such as analyzing data or calling APIs, making them more effective. This also grounds their reasoning in verifiable steps and allows them to use a wide range of software tools.

When an AI agent executes code, its actions have clear, verifiable outcomes and provide direct feedback on success or failure. This is often more dependable than multi-step reasoning conveyed purely in natural language.

Yes, code execution enables AI agents to break down complex problems into smaller, manageable tasks. Each task can then be implemented and run as a distinct piece of code.

Urai provides a robust platform with secure execution environments, allowing your agents to safely run code. We use an adapter-based architecture to connect with various agent frameworks and execution engines.

Urai is designed for flexibility, integrating with multiple agent frameworks, such as Agno and others. This allows you to leverage the strengths of various execution environments through our platform.

We prioritize security by running agent code in isolated, sandboxed environments. This prevents unintended side effects and protects your systems.

Urai currently supports Python for code execution, with JavaScript support coming soon. We are continuously working to expand the range of supported languages.

Yes, Urai allows AI agents to run arbitrary shell commands within the secure sandbox. This provides greater flexibility for interacting with the execution environment and performing diverse tasks.

Absolutely. Users can download files and results generated by their agent's code execution from the secure sandbox.

Urai aims to make it easy to incorporate code execution steps into your agent's decision-making process. Our platform handles many underlying complexities of the execution infrastructure.

Urai offers simplified integration with various execution frameworks, enhanced security through sandboxing, and increasing flexibility with ongoing adapter development. This allows you to focus on building intelligent agents while we manage the execution environment.

While Urai provides a secure environment, users should be mindful of the tasks delegated to agents and review code for sensitive operations. It's good practice to follow secure prompting techniques when guiding AI code generation.