0.5.0 bake-off results, knowledge lookup tools, training progress chart

Bake-off (0.5.0 vs 0.4.0):
- Overall: 46.8% vs 45.2% (+1.6%), 0 errors vs 2
- Enchantments: +47% (20% → 67%)
- EssentialsX: +60% (0% → 60%)
- Effects: +25% (0% → 25%)
- Regressions: fill_build -67%, world -20%

Knowledge Lookup Tools (4 new):
- plugin.docs_lookup: WorldGuard, WorldEdit, CoreProtect, EssentialsX, LuckPerms docs
- minecraft.changelog_lookup: version history from Minecraft Wiki
- paper.docs_lookup: Paper server-specific documentation
- Wired into gateway model-driven tool loop and exploration self-play

Exploration Self-Play:
- General (vanilla MC) and plugins focus modes
- Wiki-grounded: model researches before acting, validates through RCON
- 2,243 exploration examples generated, 150 kept after quality filtering

Training Progress Chart:
- SVG chart showing training examples and inverse loss across versions
- Added to MODEL_CARD.md for Gitea display

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

training/scripts/generate_training_chart.py

@@ -0,0 +1,123 @@
+#!/usr/bin/env python3
+"""
+Generate SVG training history chart for the Gitea README.
+
+X-axis: Model version
+Y-axis: Training examples (bar) and inverse loss (line)
+"""
+
+import json
+from pathlib import Path
+
+OUTPUT = Path(__file__).resolve().parent.parent.parent / "branding" / "training_progress.svg"
+
+# Historical data from training runs
+VERSIONS = [
+    {"version": "0.1.0", "examples": 500,  "loss": 2.10, "label": "v1 (seed)"},
+    {"version": "0.2.0", "examples": 1200, "loss": 1.45, "label": "v2 (+entities)"},
+    {"version": "0.3.0", "examples": 2100, "loss": 0.82, "label": "v3 (+errors)"},
+    {"version": "0.4.0", "examples": 3175, "loss": 0.35, "label": "v4 (+tools)"},
+    {"version": "0.5.0", "examples": 4358, "loss": 0.16, "label": "v5 (+plugins)"},
+]
+
+# Chart dimensions
+W = 700
+H = 400
+PAD_L = 70
+PAD_R = 30
+PAD_T = 40
+PAD_B = 80
+PLOT_W = W - PAD_L - PAD_R
+PLOT_H = H - PAD_T - PAD_B
+
+# Colors
+BG = "#111111"
+GRID = "#252525"
+TEXT = "#999999"
+BAR_COLOR = "#D35400"
+LINE_COLOR = "#4caf50"
+LABEL_COLOR = "#e0e0e0"
+
+
+def generate_svg():
+    max_examples = max(v["examples"] for v in VERSIONS) * 1.15
+    max_inv_loss = max(1.0 / v["loss"] for v in VERSIONS) * 1.15
+    n = len(VERSIONS)
+    bar_w = PLOT_W / n * 0.6
+    gap = PLOT_W / n
+
+    svg = f"""<?xml version="1.0" encoding="UTF-8"?>
+<svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 {W} {H}" width="{W}" height="{H}">
+<rect width="{W}" height="{H}" fill="{BG}" rx="8"/>
+
+<!-- Title -->
+<text x="{W/2}" y="25" fill="{LABEL_COLOR}" font-family="monospace" font-size="16" text-anchor="middle" font-weight="bold">Mortdecai Training Progress</text>
+
+<!-- Grid lines -->
+"""
+    # Y-axis grid (examples)
+    for i in range(5):
+        y = PAD_T + PLOT_H - (i / 4 * PLOT_H)
+        val = int(max_examples * i / 4)
+        svg += f'<line x1="{PAD_L}" y1="{y}" x2="{W-PAD_R}" y2="{y}" stroke="{GRID}" stroke-width="0.5"/>\n'
+        svg += f'<text x="{PAD_L-5}" y="{y+4}" fill="{TEXT}" font-family="monospace" font-size="10" text-anchor="end">{val:,}</text>\n'
+
+    # Bars (training examples)
+    for i, v in enumerate(VERSIONS):
+        cx = PAD_L + gap * i + gap / 2
+        bh = (v["examples"] / max_examples) * PLOT_H
+        by = PAD_T + PLOT_H - bh
+
+        svg += f'<rect x="{cx - bar_w/2}" y="{by}" width="{bar_w}" height="{bh}" fill="{BAR_COLOR}" rx="3" opacity="0.85"/>\n'
+        svg += f'<text x="{cx}" y="{by - 8}" fill="{BAR_COLOR}" font-family="monospace" font-size="11" text-anchor="middle" font-weight="bold">{v["examples"]:,}</text>\n'
+
+        # X-axis label
+        svg += f'<text x="{cx}" y="{PAD_T + PLOT_H + 20}" fill="{LABEL_COLOR}" font-family="monospace" font-size="12" text-anchor="middle">{v["version"]}</text>\n'
+        svg += f'<text x="{cx}" y="{PAD_T + PLOT_H + 35}" fill="{TEXT}" font-family="monospace" font-size="9" text-anchor="middle">{v["label"]}</text>\n'
+
+    # Line (inverse loss = quality)
+    points = []
+    for i, v in enumerate(VERSIONS):
+        cx = PAD_L + gap * i + gap / 2
+        inv_loss = 1.0 / v["loss"]
+        ly = PAD_T + PLOT_H - (inv_loss / max_inv_loss) * PLOT_H
+        points.append(f"{cx},{ly}")
+
+    polyline = " ".join(points)
+    svg += f'<polyline points="{polyline}" fill="none" stroke="{LINE_COLOR}" stroke-width="2.5" stroke-linecap="round" stroke-linejoin="round"/>\n'
+
+    # Dots on line
+    for i, v in enumerate(VERSIONS):
+        cx = PAD_L + gap * i + gap / 2
+        inv_loss = 1.0 / v["loss"]
+        ly = PAD_T + PLOT_H - (inv_loss / max_inv_loss) * PLOT_H
+        svg += f'<circle cx="{cx}" cy="{ly}" r="4" fill="{LINE_COLOR}"/>\n'
+        svg += f'<text x="{cx}" y="{ly - 10}" fill="{LINE_COLOR}" font-family="monospace" font-size="10" text-anchor="middle">loss={v["loss"]}</text>\n'
+
+    # Y-axis labels
+    svg += f'<text x="{PAD_L - 45}" y="{PAD_T + PLOT_H/2}" fill="{BAR_COLOR}" font-family="monospace" font-size="11" text-anchor="middle" transform="rotate(-90,{PAD_L-45},{PAD_T+PLOT_H/2})">Training Examples</text>\n'
+
+    # Legend
+    svg += f'<rect x="{W-180}" y="{PAD_T+5}" width="12" height="12" fill="{BAR_COLOR}" rx="2"/>\n'
+    svg += f'<text x="{W-163}" y="{PAD_T+15}" fill="{TEXT}" font-family="monospace" font-size="10">Training Examples</text>\n'
+    svg += f'<line x1="{W-180}" y1="{PAD_T+28}" x2="{W-168}" y2="{PAD_T+28}" stroke="{LINE_COLOR}" stroke-width="2.5"/>\n'
+    svg += f'<text x="{W-163}" y="{PAD_T+32}" fill="{TEXT}" font-family="monospace" font-size="10">Model Quality (1/loss)</text>\n'
+
+    # X-axis label
+    svg += f'<text x="{W/2}" y="{H-10}" fill="{TEXT}" font-family="monospace" font-size="11" text-anchor="middle">Model Version</text>\n'
+
+    svg += "</svg>"
+    return svg
+
+
+def main():
+    svg = generate_svg()
+    OUTPUT.parent.mkdir(parents=True, exist_ok=True)
+    with open(OUTPUT, "w") as f:
+        f.write(svg)
+    print(f"Chart saved to {OUTPUT}")
+    print(f"Embed in README: ![Training Progress](branding/training_progress.svg)")
+
+
+if __name__ == "__main__":
+    main()