Guides
The guides cover a wide range of topics, from basic usage to advanced topics, and showcase various types of integrations between Daytona and other tools.
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Run an RL Coding Environment at Scale with HUD and Daytona
Define a coding environment with HUD, scale it to 256 parallel rollouts on Daytona sandboxes, and train a model on the graded rollouts.
- HUD
Multi-Turn RL Training with OpenEnv and Daytona
Use parallel Daytona sandboxes with OpenEnv's FinQA environment to train Qwen3-14B on financial question answering via GRPO.
- TRL
- OpenENV
Train LLMs with Reinforcement Learning Using TRL and Daytona
Use parallel Daytona sandboxes to train code-generating LLMs with TRL's GRPO trainer.
- HUD
Scaling Tool Execution in RL Training with veRL and Daytona
Run veRL's ReTool recipe on Daytona sandboxes, configure the Daytona backend, and benchmark tool-calling throughput.
- HUD
Run DSPy RLMs on Daytona
Use DSPy's RLM module with a Daytona-backed interpreter to safely execute LLM-generated Python code in an isolated cloud sandbox.
- RLMs
Build deep Recursive Language Models
Implement recursive language model agents where each agent runs in its own isolated Daytona sandbox.
- RLMs