> ## Documentation Index
> Fetch the complete documentation index at: https://docs.trymonte.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Platform

> Console and capabilities

Watch runs, read scores, and manage deployments in the browser.

## Console

![The Console's training page: pinned metrics for reward, entropy, KL penalty, and response length, and a table of checkpoints with their rewards](https://mintcdn.com/monte-inc/cRJXAAJ50tzsT-eN/images/console-training.png?fit=max\&auto=format\&n=cRJXAAJ50tzsT-eN\&q=85\&s=081baa55312836d56fee3ee48ba2ad58)

The Console at `https://platform.trymonte.ai` shows the same runs, checkpoints, and deployments as the CLI. Members sign in with Google, Microsoft Entra ID, or SAML single sign-on.

## Capabilities

Each area has its own group in this tab.

> [card] [Training](https://docs.trymonte.ai/training/overview.md)
>
> Train with SFT, DPO, GRPO, or distillation, on a full model or a LoRA adapter.

> [card] [Serving](https://docs.trymonte.ai/serving/deploy.md)
>
> Deploy a checkpoint behind an OpenAI-compatible endpoint, on Monte Cloud or with BYOC.

> [card] [Environments](https://docs.trymonte.ai/environments/overview.md)
>
> Package tasks and a grader as a versioned eval or training environment.

> [card] [Datasets](https://docs.trymonte.ai/datasets/overview.md)
>
> Add demonstrations and preference pairs, generate rows, and anonymize them.

> [card] [Evaluation](https://docs.trymonte.ai/evaluation/overview.md)
>
> Pin the evals in an experiment, take the baselines, and score each checkpoint.

> [card] [Observability](https://docs.trymonte.ai/observability/traces.md)
>
> Read the traces and metrics of each run, and compare two runs task by task.

> [card] [Security](https://docs.trymonte.ai/security.md)
>
> Limit what Monte can see, and keep data and weights in the team's account with BYOC.


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