For AI agents: The documentation index is at https://docs.digitalocean.com/llms.txt. Markdown versions of pages use the same URL with index.html.md in place of the HTML page (for example, append index.html.md to the directory path instead of opening the HTML document).

October 2026

12 October

• Simulation is now available in public preview. Simulation tests agent behavior through generated, multi-turn conversations using scenario sets, user simulator models, judge models, and conversational metrics.

June 2026

30 June

• The following agent evaluation metrics are deprecated and should no longer be used:

  • Tone
  • Retrieved Chunk Usage
  • Prompt Perplexity

  Use the currently supported metrics listed in Agent Evaluation Metrics instead. To monitor deployed agent behavior outside of evaluations, use Agent Metrics and Runtime Logs.

• Agent evaluations support for the Agent Development Kit (ADK), previously in preview, is now removed.

  To evaluate agents, use agent evaluations via the DigitalOcean Control Panel for supported agent types. To monitor ADK agent behavior, use Agent Metrics and Runtime Logs.

• The Agent Evaluations MCP server tool has been renamed to Evaluations.

• Custom metrics are now available for DigitalOcean Evaluations. You can define your own metrics to evaluate model behavior against criteria specific to your use case.

• DigitalOcean Evaluations is now generally available. Use Evaluations to create test cases, run evaluation datasets, and measure model performance against selected metrics.

• Presets are now available for DigitalOcean Evaluations. You can save and reuse evaluation configurations, including the candidate model, system prompt, hyperparameters, judge model, and metrics.

• Model Evaluations is now renamed to DigitalOcean Evaluations.

April 2026

28 April

• You can now evaluate models available for serverless inference, inference routers, and dedicated inference deployments using a judge model. Scoring includes metrics such as correctness, completeness, ground truth faithfulness, and safety metrics. This feature is in public preview. You can opt in from the Feature Preview page. For more information, see Create a Dataset Evaluation.