docs: restructure API docs

docs/api/tracking.md

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+# Tracking & Monitoring
+
+This guide explains how to monitor your experiments using Weights & Biases (WandB) and TensorBoard.
+
+## Weights & Biases (WandB)
+
+WandB is used for online synchronization and visualization of training metrics.
+
+### Authorization
+
+Export your API key in your terminal to enable WandB synchronization:
+
+```bash
+export WANDB_API_KEY=your_copied_api_key_here
+```
+
+Alternatively, you can log in using the CLI:
+
+```bash
+uv run wandb login
+```
+
+### Enabling Tracking
+
+To enable online sync during a training run, set `logging.track=true` on the command line:
+
+```bash
+uv run python scripts/train.py logging.track=true
+```
+
+You can also configure your project and entity:
+
+```bash
+uv run python scripts/train.py \
+    logging.track=true \
+    logging.wandb_project_name="MyProject" \
+    logging.wandb_entity="my-team"
+```
+
+These can also be set in your configuration YAML file under the `logging` key.
+
+## Local Monitoring with TensorBoard
+
+All runs are recorded locally in the `runs/` directory (or the directory specified in `experiment.base_run_dir`). You can view scalars and other metrics with TensorBoard:
+
+```bash
+tensorboard --logdir runs/
+```
+
+Access the interface at `http://localhost:6006`.
+
+### CLI Exploration Tool
+
+For quick diagnostics or to export data to CSV without launching the full TensorBoard UI, you can use the `explore_tensorboard.py` script:
+
+```bash
+uv run python scripts/analysis/explore_tensorboard.py runs/your_run_name/
+```
+
+See the detailed description in [`/scripts/analysis/README.md`](../../scripts/analysis/README.md).