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+# AGENTS.md
+
+This repository is managed with `uv`. Use `uv run ...` for commands so the
+project environment and Cython extensions are built/loaded consistently.
+
+## Project Layout
+
+- `src/coolrl_lost_cities/games/classic/game.pyx`: Cython Lost Cities engine.
+- `src/coolrl_lost_cities/games/classic/deep_cfr/`: Deep CFR training,
+  traversal, evaluation, analysis, and CLI code.
+- `configs/deep_cfr/`: Deep CFR YAML configs.
+- `runs/`: generated training runs. This path is gitignored and may be a
+  symlink to larger storage.
+- `docs/`: profiling notes, migration notes, and experiment documentation.
+
+## Core Commands
+
+Run lint:
+
+```bash
+uv run ruff check .
+```
+
+Run all tests:
+
+```bash
+uv run pytest -q
+```
+
+Run focused Deep CFR tests:
+
+```bash
+uv run pytest -q tests/games/classic/test_deep_cfr_trainer.py
+```
+
+Run the CLI through the console script:
+
+```bash
+uv run lost-cities-deep-cfr --help
+```
+
+Equivalent module form:
+
+```bash
+uv run python -m coolrl_lost_cities.games.classic.deep_cfr.cli --help
+```
+
+## Deep CFR Training
+
+Main full config:
+
+```bash
+uv run lost-cities-deep-cfr train \
+  --config configs/deep_cfr/deep_cfr_selfplay_full_depth_slot_playability.yaml
+```
+
+Unbounded config:
+
+```bash
+uv run lost-cities-deep-cfr train \
+  --config configs/deep_cfr/deep_cfr_selfplay_full_depth_slot_playability_unbounded.yaml
+```
+
+Short capped run:
+
+```bash
+uv run lost-cities-deep-cfr train \
+  --config configs/deep_cfr/deep_cfr_selfplay_full_depth_slot_playability.yaml \
+  --max-iterations 100 \
+  --save-latest-only
+```
+
+Use explicit run directories for experiments. Put Deep CFR runs under
+`runs/deep_cfr/` and prefix generated run names with the date:
+
+```bash
+RUN_DIR="runs/deep_cfr/$(date +%Y-%m-%d_%H%M%S)_deep_cfr_experiment_name"
+uv run lost-cities-deep-cfr train \
+  --config configs/deep_cfr/deep_cfr_selfplay_full_depth_slot_playability.yaml \
+  --checkpoint-dir "$RUN_DIR" \
+  --max-iterations 100
+```
+
+Date-prefixed examples:
+
+- `runs/deep_cfr/2026-05-08_010000_deep_cfr_100iter`
+- `runs/deep_cfr/2026-05-08_020000_deep_cfr_unbounded`
+
+## Long Runs
+
+Run long jobs in a real `tmux` session so the user can attach and stop them.
+Do not rely on Codex command sessions for long user-observable training runs.
+
+Start a long unbounded run:
+
+```bash
+tmux new-session -s coolrl-deepcfr-unbounded -c /home/coolguy/dev/coolrl-lost-cities
+uv run lost-cities-deep-cfr train \
+  --config configs/deep_cfr/deep_cfr_selfplay_full_depth_slot_playability_unbounded.yaml
+```
+
+Attach later:
+
+```bash
+tmux attach -t coolrl-deepcfr-unbounded
+```
+
+Detach without stopping:
+
+```text
+Ctrl+B, D
+```
+
+Stop training:
+
+```text
+Ctrl+C
+```
+
+Follow logs from another terminal:
+
+```bash
+tail -f runs/deep_cfr/deep_cfr_selfplay_full_depth_slot_playability_unbounded/train.log
+```
+
+The unbounded config intentionally has:
+
+```yaml
+run:
+  iterations: null
+  max_iterations: null
+  max_hours: null
+checkpoint:
+  save_iteration_interval: 100
+```
+
+`latest.pt` is updated continuously; archive checkpoints are written every 100
+iterations. If disk is tight, prefer `--save-latest-only` or increase
+`save_iteration_interval`.
+
+## Evaluation And Analysis
+
+Evaluate a checkpoint:
+
+```bash
+uv run lost-cities-deep-cfr eval \
+  --checkpoint runs/deep_cfr/<run-name>/latest.pt \
+  --opponent random \
+  --games 100 \
+  --device cpu
+```
+
+Generate analysis plots from `metrics.jsonl`:
+
+```bash
+uv run lost-cities-deep-cfr analyze \
+  --run runs/deep_cfr/<run-name>
+```
+
+Write plots to a separate directory:
+
+```bash
+uv run lost-cities-deep-cfr analyze \
+  --run runs/deep_cfr/<run-name> \
+  --output-dir runs/deep_cfr/<run-name>/analysis
+```
+
+The analyzer reads `metrics.jsonl` and writes PNG files such as:
+
+- `analysis_<opponent>_action_distribution.png`
+- `analysis_<opponent>_game_flow.png`
+- `analysis_<opponent>_open_quality.png`
+- `analysis_<opponent>_expedition_outcomes.png`
+- `analysis_<opponent>_calibration.png`
+
+## Runtime Artifacts
+
+Each training run writes:
+
+- `metrics.jsonl`: structured metrics, one completed iteration per line.
+- `train.log`: human-readable timestamped logs.
+- `runtime_progress.json`: latest progress snapshot.
+- `latest.pt`: latest checkpoint.
+- `iteration_*.pt`: archive checkpoints when enabled.
+- `config.json`: resolved config for the run.
+
+If a run is stopped mid-iteration, the in-progress iteration may not appear in
+`metrics.jsonl`. Analyze the latest completed metric row.
+
+## Notes For Future Agents
+
+- Prefer `rg`/`rg --files` for search.
+- Use `apply_patch` for manual edits.
+- Do not commit generated run artifacts from `runs/`.
+- Cython-generated `.c` files are gitignored; edit `.pyx`/`.pxd` sources.
+- Before committing, run `uv run ruff check .` and at least the relevant pytest
+  subset. For Deep CFR changes, run
+  `uv run pytest -q tests/games/classic/test_deep_cfr_trainer.py`.