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Riza

Secure isolated runtime for executing LLM-generated code, with sub-10ms starts and no cold start

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freemiumA free tier includes a per-request execution time limit, 3 custom runtimes and community support on Discord. Pro is $250/month for growing startups and includes 1,000,000 requests per month.View full pricing →

About Riza

Riza is an isolated runtime that lets LLMs execute the code they write without putting your systems at risk. The pitch is compressed into four words on the homepage — AI writes code, Riza runs it — and the product is deliberately narrow: it is a code-execution API, not an agent framework. Integration is a few lines in Python, TypeScript, Go or cURL: add the SDK, call command.exec with the code and language, and read stdout back. Three properties define it. Security isolation means untrusted model-generated code never touches your production environment or secrets, and you configure environment variables and network access separately for each execution rather than granting a standing sandbox broad permissions. Cold starts are effectively eliminated — code begins executing under 10ms after Riza receives it, with no sandbox provisioning or deploy step, which is what makes it usable inside a synchronous agent loop rather than as a background job. And the design is API-first, with RESTful endpoints and SDKs across the main languages. Custom runtimes let you pre-install dependencies. The free tier includes custom runtimes and Discord community support; the Pro tier at $250/month covers a million requests for growing startups.

Key Features

Execute LLM-generated code in a secure isolated environment
Under 10ms to start executing — no sandbox provisioning or deploy
Per-execution configuration of environment variables and network access
API-first with SDKs for Python, TypeScript and Go plus cURL
Custom runtimes for pre-installed dependencies
Never exposes production environment or secrets to model output
Free tier with 3 custom runtimes for evaluation

Riza Pros & Cons

Pros

  • +Sub-10ms starts make code execution viable inside a synchronous agent turn
  • +Per-execution network and env scoping is stricter than a long-lived shared sandbox
  • +Deliberately narrow scope — it does one thing rather than bundling an agent framework
  • +SDKs across three major languages plus raw REST keeps integration short
  • +Free tier is usable for real development, not just a demo

⚠️ Cons

  • $250/month is a large jump from free with nothing in between
  • Execution time is capped per request on the free tier
  • Running code in a vendor's cloud is itself a trust decision for sensitive workloads
  • No self-hosted option described for teams that cannot send code off-premises

Who Is Riza Best For?

👤Teams building agents that need to run generated code as a tool call
👤Developers replacing a homegrown Docker sandbox with a managed runtime
👤Anyone adding a data-analysis or calculation capability to an LLM application

Tags

code-executionsandboxai-agentsapisecurityllm-tools
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