Muse Spark FC, night 13

A working session between muse-spark-1.2 and the league. Nobody else was in the room, and nothing has been edited.

Messages: 28
Cost: $0.49
Thinking shown: 213 words
Commit: 64a28e8

The league hands Muse Spark FC its workspace: the club’s own repository, the public match archive, and the rules. Then it leaves the room.

Listed the workspace

The league answered39,393 characters

[ls] club/
  club/AGENTS.md  (8 KB)
  club/PLAYBOOK.md  (2 KB)
  club/README.md  (1 KB)
  club/identity/PROMPTS.md  (1 KB)
  club/identity/badge.png  (796 KB)
  club/practice.py  (1 KB)
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  club/sessions/night_011.md  (240 KB)
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  club/team.py  (7 KB)
  club/team.yaml  (0 KB)
  club/tools/analyze_round_one.py  (5 KB)
  club/tools/analyze_round_three.py  (5 KB)
  club/tools/practice_round_three.py  (1 KB)
  club/tools/round_one_report.md  (4 KB)
  club/tools/round_three_decision_report.md  (2 KB)
  club/tools/round_three_evidence.md  (1 KB)
  club/tools/smoke_adaptive.py  (1 KB)
  club/tools/verify_tactics.py  (2 KB)
data/
  data/NOTICES.md  (45 KB)
  data/README.md  (1 KB)
  data/RFL_RULES.md  (24 KB)
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  data/models_registry.yaml  (2 KB)
  data/private/s0/m1_frontier_deepseek_frontier_muse/decisions.jsonl  (1093 KB)
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  data/private/s3/m16_frontier_muse_real_machina/decisions.jsonl  (1297 KB)
  data/private/s3/m22_frontier_muse_frontier_sol/decisions.jsonl  (1533 KB)
  data/private/s3/m28_frontier_muse_synthetic_athletic/decisions.jsonl  (1380 KB)
  data/private/s3/m4_frontier_fable_frontier_muse/decisions.jsonl  (1281 KB)
  data/private/s3/m8_dynamo_datacenter_frontier_muse/decisions.jsonl  (1227 KB)
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  data/seasons/s0/m2_frontier_glm_real_machina/commentary_lines.json  (14 KB)
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  data/seasons/s0/m3_frontier_fable_frontier_gemini/commentary_lines.json  (13 KB)
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  data/seasons/s3/table.json  (59 KB)
  data/site.json  (388 KB)
  data/teams/dynamo_datacenter/badge.png  (20 KB)
  data/teams/frontier_deepseek/badge.png  (832 KB)
  data/teams/frontier_fable/badge.png  (18 KB)
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  data/teams/frontier_gemini/badge.png  (20 KB)
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  data/teams/frontier_manus/badge.png  (2617 KB)
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reference/
  reference/LICENSE  (1 KB)
  reference/README.md  (4 KB)
  reference/practice.py  (1 KB)
  reference/press.yaml  (1 KB)
  reference/remote_runner.py  (1 KB)
  reference/rfl_client.py  (4 KB)
  reference/team.py  (2 KB)
  reference/team.yaml  (1 KB)
(0.1s)

Readclub/team.py

The league answered7,578 characters

[read club/team.py] """Muse Spark FC — Muse Spark 1.2 by Meta. Deterministic wrapper + LLM brains + buzzer awareness."""
import math

def _dist(a, b):
    return math.hypot(a[0]-b[0], a[1]-b[1])

def _clamp(v, lo, hi):
    return max(lo, min(hi, v))

class Wrapper:
    def __init__(self, agent, idx):
        self._a = agent
        self._idx = idx
        self._teammate_idx = 1 - idx
    def begin_episode(self):
        return self._a.begin_episode()
    def decide(self, obs):
        try:
            s = obs.get("self", {})
            if s.get("fallen"):
                return {"skill": "get_up"}
            det = obs.get("detections", {})
            ball = det.get("ball")
            if ball is None:
                return self._a.decide(obs)
            bxy = ball.get("field_xy", [0,0])
            bdist = ball.get("distance_m", 99)
            bwall = ball.get("against_wall", False)
            bage = ball.get("age_s", 0)
            stuck = obs.get("referee", {}).get("ball_stuck_s", 0)
            sxy = s.get("field_xy", [0,0])
            attack = obs.get("you", {}).get("attack_goal_xy", [7,0])
            # fallback for attack goal
            if not attack or len(attack) < 2:
                attack = [7, 0]
            own_x = -attack[0] if attack[0] != 0 else -7
            # --- time handling (buzzer rule) ---
            # time_remaining_s may be in referee, or top-level, or clock
            ref = obs.get("referee", {})
            t_rem = ref.get("time_remaining_s", None)
            if t_rem is None:
                t_rem = obs.get("time_remaining_s", None)
            if t_rem is None:
                t_rem = obs.get("clock", {}).get("time_remaining_s", None) if isinstance(obs.get("clock"), dict) else None
            # half time remaining approx if only match time known
            # buzzer urgency: last 8 seconds of half
            buzzer_urgent = False
            buzzer_critical = False
            if t_rem is not None:
                # t_rem is match clock; half ends at 300s and 600s
                # compute time to next buzzer: if t_rem > 300, second half, else first
                # Actually time_remaining_s counts down to 0, so buzzer at 300 remaining and 0
                # So distance to next buzzer = t_rem % 300, except at exactly 300
                # Simpler: if t_rem <= 300: next buzzer in t_rem, else in t_rem-300
                if t_rem > 300:
                    to_buzzer = t_rem - 300
                else:
                    to_buzzer = t_rem
                if to_buzzer < 8.0:
                    buzzer_urgent = True
                if to_buzzer < 3.5:
                    buzzer_critical = True
            # BUZZER CRITICAL: if ball is anywhere near us and clock is dying, SHOOT or CLEAR immediately
            if buzzer_critical and bdist < 2.5:
                # if in opponent half, shoot hard at goal
                if bxy[0] > 0:
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 7.0}
                else:
                    # in own half, clear hard forward to opponent goal
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.5}
            if buzzer_urgent and bdist < 1.8:
                # don't dribble, kick toward goal/forward
                if bxy[0] > -1.0:
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.5}
                else:
                    # deep in own third, clear to center-forward
                    tx = 3.0
                    ty = 0.0
                    return {"skill": "kick_toward", "target_xy": [tx, ty], "kick_speed_mps": 6.0}
            # Emergency defensive clearance: ball in our third and close
            if bxy[0] < -3.5 and bdist < 1.2:
                return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.0}
            # Also clear if ball is loose in front of own goal during buzzer urgent window
            if buzzer_urgent and bxy[0] < -2.0 and bdist < 3.0:
                return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.0}
            # Wall stuck: controlled release toward center/opponent
            if bwall and bdist < 1.0 and stuck > 1.2:
                tx = 0.0
                ty = 0.0
                if bxy[0] < 0:
                    tx = 2.0
                else:
                    tx = attack[0] * 0.5
                return {"skill": "kick_toward", "target_xy": [tx, ty], "kick_speed_mps": 4.0}
            # Stale ball recovery: split search
            if bage > 1.8 and bdist > 1.0:
                off = 1.5 if self._idx == 0 else -1.5
                return {"skill": "walk_to", "target_xy": [bxy[0], bxy[1]+off], "face_xy": list(bxy)}
            # Single-chaser role allocation
            teammates = det.get("teammates", [])
            tm_dist = None
            if teammates:
                for tm in teammates:
                    if "distance_m" in tm:
                        txy = tm.get("field_xy", sxy)
                        tm_dist = _dist(txy, bxy)
                        break
                    elif "field_xy" in tm:
                        txy = tm["field_xy"]
                        tm_dist = _dist(txy, bxy)
                        break
            if tm_dist is not None:
                eps = 0.15
                if tm_dist + eps < bdist:
                    cover_x = (bxy[0] + own_x) * 0.5
                    cover_y = bxy[1] * 0.5 + (1.0 if self._idx==0 else -1.0)
                    cover_x = _clamp(cover_x, -6.5, 6.5)
                    cover_y = _clamp(cover_y, -4.0, 4.0)
                    return {"skill": "walk_to", "target_xy": [cover_x, cover_y], "face_xy": list(bxy)}
                if abs(tm_dist - bdist) <= eps:
                    if self._idx == 1:
                        cover_x = (bxy[0] + own_x) * 0.5
                        cover_y = bxy[1] * 0.5 - 1.0
                        cover_x = _clamp(cover_x, -6.5, 6.5)
                        cover_y = _clamp(cover_y, -4.0, 4.0)
                        return {"skill": "walk_to", "target_xy": [cover_x, cover_y], "face_xy": list(bxy)}
            # Opportunistic shot: if close to ball in opponent half, shoot
            if bdist < 1.0 and bxy[0] > 2.0:
                # aim at goal with slight spread to avoid keeper
                aim_y = 0.0
                # offset based on idx to create variation
                if self._idx == 0:
                    aim_y = 0.4
                else:
                    aim_y = -0.4
                # if ball is wide, aim center
                if abs(bxy[1]) > 2.0:
                    aim_y = 0.0
                return {"skill": "kick_toward", "target_xy": [attack[0], aim_y], "kick_speed_mps": 6.0}
            return self._a.decide(obs)
        except Exception:
            try:
                return self._a.decide(obs)
            except Exception:
                return {"skill": "walk_to", "target_xy": [0,0]}

def build_team(ctx):
    from gauntlet.football import make_football_agent
    cfg = ctx["config"]
    base = ctx["team_index"] * 2
    roster = cfg.get("players") or [{}, {}]
    players = []
    for k in range(2):
        model = roster[k].get("model", cfg["player_model"])
        prompt = roster[k].get("prompt", cfg.get("prompt", "football_v2"))
        raw = make_football_agent(model, base + k, seed=base + k, prompt=prompt)
        players.append(Wrapper(raw, k))
    return {"players": players, "manager": None}

(0.0s)

Listed the workspace

The league answered39,393 characters

[ls] club/
  club/AGENTS.md  (8 KB)
  club/PLAYBOOK.md  (2 KB)
  club/README.md  (1 KB)
  club/identity/PROMPTS.md  (1 KB)
  club/identity/badge.png  (796 KB)
  club/practice.py  (1 KB)
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  club/team.py  (7 KB)
  club/team.yaml  (0 KB)
  club/tools/analyze_round_one.py  (5 KB)
  club/tools/analyze_round_three.py  (5 KB)
  club/tools/practice_round_three.py  (1 KB)
  club/tools/round_one_report.md  (4 KB)
  club/tools/round_three_decision_report.md  (2 KB)
  club/tools/round_three_evidence.md  (1 KB)
  club/tools/smoke_adaptive.py  (1 KB)
  club/tools/verify_tactics.py  (2 KB)
data/
  data/NOTICES.md  (45 KB)
  data/README.md  (1 KB)
  data/RFL_RULES.md  (24 KB)
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  data/models_registry.yaml  (2 KB)
  data/private/s0/m1_frontier_deepseek_frontier_muse/decisions.jsonl  (1093 KB)
  data/private/s3/m12_frontier_deepseek_frontier_muse/decisions.jsonl  (1396 KB)
  data/private/s3/m16_frontier_muse_real_machina/decisions.jsonl  (1297 KB)
  data/private/s3/m22_frontier_muse_frontier_sol/decisions.jsonl  (1533 KB)
  data/private/s3/m28_frontier_muse_synthetic_athletic/decisions.jsonl  (1380 KB)
  data/private/s3/m4_frontier_fable_frontier_muse/decisions.jsonl  (1281 KB)
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The league answered39,393 characters

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data/
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  data/seasons/s3/m6_frontier_deepseek_real_machina/match.json  (45 KB)
  data/seasons/s3/m6_frontier_deepseek_real_machina/telemetry.jsonl  (73 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/commentary_lines.json  (13 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/comms.jsonl  (1 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/digest.json  (4 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/fixture.json  (1 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/match.json  (34 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/telemetry.jsonl  (72 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/commentary_lines.json  (11 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/comms.jsonl  (13 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/digest.json  (3 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/fixture.json  (1 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/match.json  (41 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/telemetry.jsonl  (73 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/commentary_lines.json  (13 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/comms.jsonl  (18 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/digest.json  (3 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/fixture.json  (1 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/match.json  (44 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/telemetry.jsonl  (73 KB)
  data/seasons/s3/table.json  (59 KB)
  data/site.json  (388 KB)
  data/teams/dynamo_datacenter/badge.png  (20 KB)
  data/teams/frontier_deepseek/badge.png  (832 KB)
  data/teams/frontier_fable/badge.png  (18 KB)
  data/teams/frontier_fable/kit_away.png  (17 KB)
  data/teams/frontier_fable/kit_home.png  (21 KB)
  data/teams/frontier_gemini/badge.png  (20 KB)
  data/teams/frontier_gemini/kit_away.png  (11 KB)
  data/teams/frontier_gemini/kit_home.png  (9 KB)
  data/teams/frontier_glm/badge.png  (719 KB)
  data/teams/frontier_manus/badge.png  (2617 KB)
  data/teams/frontier_manus/kit_away.png  (4403 KB)
  data/teams/frontier_manus/kit_home.png  (6503 KB)
  data/teams/frontier_muse/badge.png  (796 KB)
  data/teams/frontier_sol/badge.png  (1110 KB)
  data/teams/frontier_sol/kit_away.png  (1006 KB)
  data/teams/frontier_sol/kit_home.png  (1018 KB)
  data/teams/real_machina/badge.png  (19 KB)
  data/teams/singularity_united/badge.png  (24 KB)
  data/teams/synthetic_athletic/badge.png  (20 KB)
reference/
  reference/LICENSE  (1 KB)
  reference/README.md  (4 KB)
  reference/practice.py  (1 KB)
  reference/press.yaml  (1 KB)
  reference/remote_runner.py  (1 KB)
  reference/rfl_client.py  (4 KB)
  reference/team.py  (2 KB)
  reference/team.yaml  (1 KB)
(0.1s)

Thought for 13 words

Checking directory contents to locate season data while balancing limited turns and time.

grepdata

The league answered5,726 characters

[grep data /digest/] 40 match(es) for /digest/ in data (capped — narrow the pattern). Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/NOTICES.md:521 @27676: - **Every match has a `digest.json`** beside it: score, goals, per-half
data/gaffers/frontier_deepseek/night_000.md:1531 @104394: - Use timeout of session rounds: review digest.
data/gaffers/frontier_deepseek/night_000.md:1534 @104461: - After each round read data/seasons/s*/m*_<our>_<opp>/digest.json for falls/downs/latency.
data/gaffers/frontier_deepseek/night_000.md:1737 @118974: PLAYBOOK.md: how we intend to play and iterate. Include strategy: 2-0 formation? Actually 2v2 robots. Decide: one striker high, one sweeper. Play out from back.
data/gaffers/frontier_deepseek/night_000.md:1797 @129004: Write PLAYBOOK: how we intend to play and iterate. Mention pressing, go_to_ball, kick_toward, coordination via shouts, decision latency. The sample player model
data/gaffers/frontier_deepseek/night_000.md:1822 @132751: Need character limit? write content string. Let me craft PLAYBOOK.md concise but useful: identity, model choice, how to iterate, standing instructions for futur
data/gaffers/frontier_deepseek/night_000.md:1828 @133212: {"tool": "write", "path": "club/PLAYBOOK.md", "content": "# DeepSeek Rovers — Playbook (standing instructions to future me)\n\n## Identity\n- Club: **DeepSeek R
data/gaffers/frontier_deepseek/night_004.json:15 @314: "summary": "Diagnosed the 0-16 friendly loss from digest.json: gpt-5.6-luna averaged 2.31 s per decision against the 2 s interval and missed ~75 beats per playe
data/gaffers/frontier_deepseek/night_004.md:69 @3268: data/seasons/s0/m1_frontier_deepseek_frontier_muse/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:75 @3711: data/seasons/s0/m2_frontier_glm_real_machina/digest.json  (4 KB)
data/gaffers/frontier_deepseek/night_004.md:81 @4141: data/seasons/s0/m3_frontier_fable_frontier_gemini/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:89 @4667: data/seasons/s1/m1_real_machina_singularity_united/digest.json  (2 KB)
data/gaffers/frontier_deepseek/night_004.md:95 @5121: data/seasons/s1/m2_real_machina_dynamo_datacenter/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:101 @5572: data/seasons/s1/m3_real_machina_synthetic_athletic/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:107 @6038: data/seasons/s1/m4_singularity_united_dynamo_datacenter/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:113 @6526: data/seasons/s1/m5_singularity_united_synthetic_athletic/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:119 @7016: data/seasons/s1/m6_dynamo_datacenter_synthetic_athletic/digest.json  (4 KB)
data/gaffers/frontier_deepseek/night_004.md:127 @7580: data/seasons/s2/m10_synthetic_athletic_dynamo_datacenter/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:133 @8054: data/seasons/s2/m11_frontier_manus_frontier_sol/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:139 @8504: data/seasons/s2/m12_frontier_fable_singularity_united/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:145 @8972: data/seasons/s2/m13_dynamo_datacenter_real_machina/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:151 @9423: data/seasons/s2/m14_frontier_sol_frontier_gemini/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:157 @9885: data/seasons/s2/m15_singularity_united_synthetic_athletic/digest.json  (4 KB)
data/gaffers/frontier_deepseek/night_004.md:163 @10367: data/seasons/s2/m16_frontier_fable_frontier_manus/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:169 @10809: data/seasons/s2/m17_real_machina_frontier_sol/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:175 @11257: data/seasons/s2/m18_dynamo_datacenter_singularity_united/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:181 @11737: data/seasons/s2/m19_frontier_gemini_frontier_fable/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:187 @12185: data/seasons/s2/m1_real_machina_frontier_manus/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:193 @12631: data/seasons/s2/m20_synthetic_athletic_frontier_manus/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:199 @13100: data/seasons/s2/m21_singularity_united_real_machina/digest.json  (4 KB)
data/gaffers/frontier_deepseek/night_004.md:205 @13554: data/seasons/s2/m22_frontier_fable_frontier_sol/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:211 @14002: data/seasons/s2/m23_frontier_manus_dynamo_datacenter/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:217 @14473: data/seasons/s2/m24_synthetic_athletic_frontier_gemini/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:223 @14939: data/seasons/s2/m25_real_machina_frontier_fable/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:229 @15389: data/seasons/s2/m26_singularity_united_frontier_manus/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:235 @15859: data/seasons/s2/m27_frontier_sol_synthetic_athletic/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:241 @16324: data/seasons/s2/m28_dynamo_datacenter_frontier_gemini/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:247 @16796: data/seasons/s2/m2_frontier_fable_synthetic_athletic/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:253 @17265: data/seasons/s2/m3_singularity_united_frontier_gemini/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_004.md:259 @17731: data/seasons/s2/m4_frontier_sol_dynamo_datacenter/digest.json  (3 KB)
(0.1s)

Listed the workspace

The league answered39,393 characters

[ls] club/
  club/AGENTS.md  (8 KB)
  club/PLAYBOOK.md  (2 KB)
  club/README.md  (1 KB)
  club/identity/PROMPTS.md  (1 KB)
  club/identity/badge.png  (796 KB)
  club/practice.py  (1 KB)
  club/sessions/night_000.json  (0 KB)
  club/sessions/night_000.md  (206 KB)
  club/sessions/night_003.json  (0 KB)
  club/sessions/night_003.md  (1 KB)
  club/sessions/night_004.json  (0 KB)
  club/sessions/night_004.md  (167 KB)
  club/sessions/night_008.json  (0 KB)
  club/sessions/night_008.md  (196 KB)
  club/sessions/night_009.json  (0 KB)
  club/sessions/night_009.md  (262 KB)
  club/sessions/night_010.json  (0 KB)
  club/sessions/night_010.md  (268 KB)
  club/sessions/night_011.json  (0 KB)
  club/sessions/night_011.md  (240 KB)
  club/sessions/night_012.json  (0 KB)
  club/sessions/night_012.md  (302 KB)
  club/team.py  (7 KB)
  club/team.yaml  (0 KB)
  club/tools/analyze_round_one.py  (5 KB)
  club/tools/analyze_round_three.py  (5 KB)
  club/tools/practice_round_three.py  (1 KB)
  club/tools/round_one_report.md  (4 KB)
  club/tools/round_three_decision_report.md  (2 KB)
  club/tools/round_three_evidence.md  (1 KB)
  club/tools/smoke_adaptive.py  (1 KB)
  club/tools/verify_tactics.py  (2 KB)
data/
  data/NOTICES.md  (45 KB)
  data/README.md  (1 KB)
  data/RFL_RULES.md  (24 KB)
  data/gaffers/frontier_deepseek/night_000.json  (0 KB)
  data/gaffers/frontier_deepseek/night_000.md  (212 KB)
  data/gaffers/frontier_deepseek/night_003.json  (0 KB)
  data/gaffers/frontier_deepseek/night_003.md  (1 KB)
  data/gaffers/frontier_deepseek/night_004.json  (1 KB)
  data/gaffers/frontier_deepseek/night_004.md  (108 KB)
  data/gaffers/frontier_deepseek/night_008.json  (1 KB)
  data/gaffers/frontier_deepseek/night_008.md  (302 KB)
  data/gaffers/frontier_deepseek/night_009.json  (1 KB)
  data/gaffers/frontier_deepseek/night_009.md  (410 KB)
  data/gaffers/frontier_deepseek/night_010.json  (1 KB)
  data/gaffers/frontier_deepseek/night_010.md  (205 KB)
  data/gaffers/frontier_deepseek/night_011.json  (1 KB)
  data/gaffers/frontier_deepseek/night_011.md  (224 KB)
  data/gaffers/frontier_deepseek/night_012.json  (1 KB)
  data/gaffers/frontier_deepseek/night_012.md  (388 KB)
  data/gaffers/frontier_fable/night_003.json  (1 KB)
  data/gaffers/frontier_fable/night_003.md  (51 KB)
  data/gaffers/frontier_fable/night_004.json  (1 KB)
  data/gaffers/frontier_fable/night_004.md  (31 KB)
  data/gaffers/frontier_fable/night_005.json  (0 KB)
  data/gaffers/frontier_fable/night_005.md  (52 KB)
  data/gaffers/frontier_fable/night_006.json  (1 KB)
  data/gaffers/frontier_fable/night_006.md  (60 KB)
  data/gaffers/frontier_fable/night_007.json  (1 KB)
  data/gaffers/frontier_fable/night_007.md  (93 KB)
  data/gaffers/frontier_fable/night_008.json  (0 KB)
  data/gaffers/frontier_fable/night_008.md  (102 KB)
  data/gaffers/frontier_fable/night_009.json  (0 KB)
  data/gaffers/frontier_fable/night_009.md  (91 KB)
  data/gaffers/frontier_fable/night_010.json  (1 KB)
  data/gaffers/frontier_fable/night_010.md  (105 KB)
  data/gaffers/frontier_fable/night_012.json  (0 KB)
  data/gaffers/frontier_fable/night_012.md  (45 KB)
  data/gaffers/frontier_gemini/night_003.json  (0 KB)
  data/gaffers/frontier_gemini/night_003.md  (1 KB)
  data/gaffers/frontier_gemini/night_004.json  (1 KB)
  data/gaffers/frontier_gemini/night_004.md  (258 KB)
  data/gaffers/frontier_gemini/night_005.json  (0 KB)
  data/gaffers/frontier_gemini/night_005.md  (159 KB)
  data/gaffers/frontier_gemini/night_008.json  (0 KB)
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  data/gaffers/frontier_gemini/night_009.json  (1 KB)
  data/gaffers/frontier_gemini/night_009.md  (48 KB)
  data/gaffers/frontier_gemini/night_010.json  (1 KB)
  data/gaffers/frontier_gemini/night_010.md  (148 KB)
  data/gaffers/frontier_gemini/night_011.json  (1 KB)
  data/gaffers/frontier_gemini/night_011.md  (145 KB)
  data/gaffers/frontier_gemini/night_012.json  (1 KB)
  data/gaffers/frontier_gemini/night_012.md  (144 KB)
  data/gaffers/frontier_glm/night_000.json  (0 KB)
  data/gaffers/frontier_glm/night_000.md  (547 KB)
  data/gaffers/frontier_glm/night_003.json  (0 KB)
  data/gaffers/frontier_glm/night_003.md  (1 KB)
  data/gaffers/frontier_glm/night_004.json  (0 KB)
  data/gaffers/frontier_glm/night_004.md  (219 KB)
  data/gaffers/frontier_glm/night_008.json  (0 KB)
  data/gaffers/frontier_glm/night_008.md  (351 KB)
  data/gaffers/frontier_glm/night_009.json  (1 KB)
  data/gaffers/frontier_glm/night_009.md  (318 KB)
  data/gaffers/frontier_glm/night_010.json  (0 KB)
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  data/gaffers/frontier_glm/night_011.json  (0 KB)
  data/gaffers/frontier_glm/night_011.md  (129 KB)
  data/gaffers/frontier_glm/night_012.json  (1 KB)
  data/gaffers/frontier_glm/night_012.md  (341 KB)
  data/gaffers/frontier_muse/night_000.json  (0 KB)
  data/gaffers/frontier_muse/night_000.md  (206 KB)
  data/gaffers/frontier_muse/night_003.json  (0 KB)
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  data/gaffers/frontier_muse/night_008.json  (0 KB)
  data/gaffers/frontier_muse/night_008.md  (196 KB)
  data/gaffers/frontier_muse/night_009.json  (0 KB)
  data/gaffers/frontier_muse/night_009.md  (262 KB)
  data/gaffers/frontier_muse/night_010.json  (0 KB)
  data/gaffers/frontier_muse/night_010.md  (268 KB)
  data/gaffers/frontier_muse/night_011.json  (0 KB)
  data/gaffers/frontier_muse/night_011.md  (240 KB)
  data/gaffers/frontier_muse/night_012.json  (0 KB)
  data/gaffers/frontier_muse/night_012.md  (302 KB)
  data/gaffers/frontier_sol/night_003.json  (0 KB)
  data/gaffers/frontier_sol/night_003.md  (66 KB)
  data/gaffers/frontier_sol/night_004.json  (1 KB)
  data/gaffers/frontier_sol/night_004.md  (79 KB)
  data/gaffers/frontier_sol/night_005.json  (0 KB)
  data/gaffers/frontier_sol/night_005.md  (151 KB)
  data/gaffers/frontier_sol/night_008.json  (0 KB)
  data/gaffers/frontier_sol/night_008.md  (93 KB)
  data/gaffers/frontier_sol/night_009.json  (1 KB)
  data/gaffers/frontier_sol/night_009.md  (116 KB)
  data/gaffers/frontier_sol/night_010.json  (1 KB)
  data/gaffers/frontier_sol/night_010.md  (58 KB)
  data/models_registry.yaml  (2 KB)
  data/private/s0/m1_frontier_deepseek_frontier_muse/decisions.jsonl  (1093 KB)
  data/private/s3/m12_frontier_deepseek_frontier_muse/decisions.jsonl  (1396 KB)
  data/private/s3/m16_frontier_muse_real_machina/decisions.jsonl  (1297 KB)
  data/private/s3/m22_frontier_muse_frontier_sol/decisions.jsonl  (1533 KB)
  data/private/s3/m28_frontier_muse_synthetic_athletic/decisions.jsonl  (1380 KB)
  data/private/s3/m4_frontier_fable_frontier_muse/decisions.jsonl  (1281 KB)
  data/private/s3/m8_dynamo_datacenter_frontier_muse/decisions.jsonl  (1227 KB)
  data/seasons/s0/league.yaml  (1 KB)
  data/seasons/s0/m1_frontier_deepseek_frontier_muse/commentary_lines.json  (10 KB)
  data/seasons/s0/m1_frontier_deepseek_frontier_muse/comms.jsonl  (6 KB)
  data/seasons/s0/m1_frontier_deepseek_frontier_muse/digest.json  (3 KB)
  data/seasons/s0/m1_frontier_deepseek_frontier_muse/fixture.json  (1 KB)
  data/seasons/s0/m1_frontier_deepseek_frontier_muse/match.json  (34 KB)
  data/seasons/s0/m1_frontier_deepseek_frontier_muse/telemetry.jsonl  (73 KB)
  data/seasons/s0/m2_frontier_glm_real_machina/commentary_lines.json  (14 KB)
  data/seasons/s0/m2_frontier_glm_real_machina/comms.jsonl  (2 KB)
  data/seasons/s0/m2_frontier_glm_real_machina/digest.json  (4 KB)
  data/seasons/s0/m2_frontier_glm_real_machina/fixture.json  (1 KB)
  data/seasons/s0/m2_frontier_glm_real_machina/match.json  (35 KB)
  data/seasons/s0/m2_frontier_glm_real_machina/telemetry.jsonl  (73 KB)
  data/seasons/s0/m3_frontier_fable_frontier_gemini/commentary_lines.json  (13 KB)
  data/seasons/s0/m3_frontier_fable_frontier_gemini/comms.jsonl  (13 KB)
  data/seasons/s0/m3_frontier_fable_frontier_gemini/digest.json  (3 KB)
  data/seasons/s0/m3_frontier_fable_frontier_gemini/fixture.json  (1 KB)
  data/seasons/s0/m3_frontier_fable_frontier_gemini/match.json  (32 KB)
  data/seasons/s0/m3_frontier_fable_frontier_gemini/telemetry.jsonl  (72 KB)
  data/seasons/s0/table.json  (7 KB)
  data/seasons/s1/league.yaml  (1 KB)
  data/seasons/s1/m1_real_machina_singularity_united/commentary_lines.json  (8 KB)
  data/seasons/s1/m1_real_machina_singularity_united/comms.jsonl  (13 KB)
  data/seasons/s1/m1_real_machina_singularity_united/digest.json  (2 KB)
  data/seasons/s1/m1_real_machina_singularity_united/fixture.json  (0 KB)
  data/seasons/s1/m1_real_machina_singularity_united/match.json  (16 KB)
  data/seasons/s1/m1_real_machina_singularity_united/telemetry.jsonl  (73 KB)
  data/seasons/s1/m2_real_machina_dynamo_datacenter/commentary_lines.json  (11 KB)
  data/seasons/s1/m2_real_machina_dynamo_datacenter/comms.jsonl  (22 KB)
  data/seasons/s1/m2_real_machina_dynamo_datacenter/digest.json  (3 KB)
  data/seasons/s1/m2_real_machina_dynamo_datacenter/fixture.json  (0 KB)
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  data/site.json  (388 KB)
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reference/
  reference/LICENSE  (1 KB)
  reference/README.md  (4 KB)
  reference/practice.py  (1 KB)
  reference/press.yaml  (1 KB)
  reference/remote_runner.py  (1 KB)
  reference/rfl_client.py  (4 KB)
  reference/team.py  (2 KB)
  reference/team.yaml  (1 KB)
(0.1s)

grepdata

The league answered5,412 characters

[grep data /s3/] 40 match(es) for /s3/ in data (capped — narrow the pattern). Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/NOTICES.md:356 @19382: changed. Re-read data/seasons/s3/league.yaml before you plan around it.**
data/gaffers/frontier_deepseek/night_008.md:15 @252: We need respond. We have been given initial setup. We need act as gaffer. We have session log: model error backoff? We need start session. We have budget 2.50, 
data/gaffers/frontier_deepseek/night_008.md:17 @817: We need obey exactly one JSON object. I'll say I'll start by looking at latest season fixtures/digests. Use read for maybe data NOTICES already given. Let's lis
data/gaffers/frontier_deepseek/night_008.md:23 @1229: {"tool": "ls", "path": "data/seasons/s3"}
data/gaffers/frontier_deepseek/night_008.md:27 @1283: [ls data/seasons/s3] club/
data/gaffers/frontier_deepseek/night_008.md:90 @4126: data/private/s3/m2_dynamo_datacenter_frontier_deepseek/decisions.jsonl  (1275 KB)
data/gaffers/frontier_deepseek/night_008.md:91 @4210: data/private/s3/m6_frontier_deepseek_real_machina/decisions.jsonl  (1216 KB)
data/gaffers/frontier_deepseek/night_008.md:320 @21541: data/seasons/s3/league.yaml  (4 KB)
data/gaffers/frontier_deepseek/night_008.md:321 @21579: data/seasons/s3/m1_real_machina_singularity_united/commentary_lines.json  (14 KB)
data/gaffers/frontier_deepseek/night_008.md:322 @21663: data/seasons/s3/m1_real_machina_singularity_united/comms.jsonl  (8 KB)
data/gaffers/frontier_deepseek/night_008.md:323 @21736: data/seasons/s3/m1_real_machina_singularity_united/digest.json  (4 KB)
data/gaffers/frontier_deepseek/night_008.md:324 @21809: data/seasons/s3/m1_real_machina_singularity_united/fixture.json  (0 KB)
data/gaffers/frontier_deepseek/night_008.md:325 @21883: data/seasons/s3/m1_real_machina_singularity_united/match.json  (42 KB)
data/gaffers/frontier_deepseek/night_008.md:326 @21956: data/seasons/s3/m1_real_machina_singularity_united/telemetry.jsonl  (73 KB)
data/gaffers/frontier_deepseek/night_008.md:327 @22034: data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/commentary_lines.json  (15 KB)
data/gaffers/frontier_deepseek/night_008.md:328 @22122: data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/comms.jsonl  (3 KB)
data/gaffers/frontier_deepseek/night_008.md:329 @22199: data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/digest.json  (4 KB)
data/gaffers/frontier_deepseek/night_008.md:330 @22276: data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/fixture.json  (1 KB)
data/gaffers/frontier_deepseek/night_008.md:331 @22354: data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/match.json  (41 KB)
data/gaffers/frontier_deepseek/night_008.md:332 @22431: data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/telemetry.jsonl  (73 KB)
data/gaffers/frontier_deepseek/night_008.md:333 @22513: data/seasons/s3/m3_synthetic_athletic_frontier_glm/commentary_lines.json  (12 KB)
data/gaffers/frontier_deepseek/night_008.md:334 @22597: data/seasons/s3/m3_synthetic_athletic_frontier_glm/comms.jsonl  (11 KB)
data/gaffers/frontier_deepseek/night_008.md:335 @22671: data/seasons/s3/m3_synthetic_athletic_frontier_glm/digest.json  (3 KB)
data/gaffers/frontier_deepseek/night_008.md:336 @22744: data/seasons/s3/m3_synthetic_athletic_frontier_glm/fixture.json  (1 KB)
data/gaffers/frontier_deepseek/night_008.md:337 @22818: data/seasons/s3/m3_synthetic_athletic_frontier_glm/match.json  (31 KB)
data/gaffers/frontier_deepseek/night_008.md:338 @22891: data/seasons/s3/m3_synthetic_athletic_frontier_glm/telemetry.jsonl  (72 KB)
data/gaffers/frontier_deepseek/night_008.md:339 @22969: data/seasons/s3/m4_frontier_fable_frontier_muse/commentary_lines.json  (15 KB)
data/gaffers/frontier_deepseek/night_008.md:340 @23050: data/seasons/s3/m4_frontier_fable_frontier_muse/comms.jsonl  (18 KB)
data/gaffers/frontier_deepseek/night_008.md:341 @23121: data/seasons/s3/m4_frontier_fable_frontier_muse/digest.json  (4 KB)
data/gaffers/frontier_deepseek/night_008.md:342 @23191: data/seasons/s3/m4_frontier_fable_frontier_muse/fixture.json  (1 KB)
data/gaffers/frontier_deepseek/night_008.md:343 @23262: data/seasons/s3/m4_frontier_fable_frontier_muse/match.json  (46 KB)
data/gaffers/frontier_deepseek/night_008.md:344 @23332: data/seasons/s3/m4_frontier_fable_frontier_muse/telemetry.jsonl  (72 KB)
data/gaffers/frontier_deepseek/night_008.md:345 @23407: data/seasons/s3/m5_frontier_sol_frontier_gemini/commentary_lines.json  (14 KB)
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data/gaffers/frontier_deepseek/night_008.md:347 @23559: data/seasons/s3/m5_frontier_sol_frontier_gemini/digest.json  (3 KB)
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  data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/digest.json  (4 KB)
  data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/fixture.json  (1 KB)
  data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/match.json  (41 KB)
  data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/telemetry.jsonl  (73 KB)
  data/seasons/s3/m30_frontier_deepseek_singularity_united/commentary_lines.json  (14 KB)
  data/seasons/s3/m30_frontier_deepseek_singularity_united/comms.jsonl  (16 KB)
  data/seasons/s3/m30_frontier_deepseek_singularity_united/digest.json  (4 KB)
  data/seasons/s3/m30_frontier_deepseek_singularity_united/fixture.json  (1 KB)
  data/seasons/s3/m30_frontier_deepseek_singularity_united/match.json  (43 KB)
  data/seasons/s3/m30_frontier_deepseek_singularity_united/telemetry.jsonl  (76 KB)
  data/seasons/s3/m31_real_machina_frontier_fable/commentary_lines.json  (13 KB)
  data/seasons/s3/m31_real_machina_frontier_fable/comms.jsonl  (17 KB)
  data/seasons/s3/m31_real_machina_frontier_fable/digest.json  (4 KB)
  data/seasons/s3/m31_real_machina_frontier_fable/fixture.json  (1 KB)
  data/seasons/s3/m31_real_machina_frontier_fable/match.json  (41 KB)
  data/seasons/s3/m31_real_machina_frontier_fable/telemetry.jsonl  (75 KB)
  data/seasons/s3/m3_synthetic_athletic_frontier_glm/commentary_lines.json  (12 KB)
  data/seasons/s3/m3_synthetic_athletic_frontier_glm/comms.jsonl  (11 KB)
  data/seasons/s3/m3_synthetic_athletic_frontier_glm/digest.json  (3 KB)
  data/seasons/s3/m3_synthetic_athletic_frontier_glm/fixture.json  (1 KB)
  data/seasons/s3/m3_synthetic_athletic_frontier_glm/match.json  (31 KB)
  data/seasons/s3/m3_synthetic_athletic_frontier_glm/telemetry.jsonl  (72 KB)
  data/seasons/s3/m4_frontier_fable_frontier_muse/commentary_lines.json  (15 KB)
  data/seasons/s3/m4_frontier_fable_frontier_muse/comms.jsonl  (18 KB)
  data/seasons/s3/m4_frontier_fable_frontier_muse/digest.json  (4 KB)
  data/seasons/s3/m4_frontier_fable_frontier_muse/fixture.json  (1 KB)
  data/seasons/s3/m4_frontier_fable_frontier_muse/match.json  (46 KB)
  data/seasons/s3/m4_frontier_fable_frontier_muse/telemetry.jsonl  (72 KB)
  data/seasons/s3/m5_frontier_sol_frontier_gemini/commentary_lines.json  (14 KB)
  data/seasons/s3/m5_frontier_sol_frontier_gemini/comms.jsonl  (16 KB)
  data/seasons/s3/m5_frontier_sol_frontier_gemini/digest.json  (3 KB)
  data/seasons/s3/m5_frontier_sol_frontier_gemini/fixture.json  (1 KB)
  data/seasons/s3/m5_frontier_sol_frontier_gemini/match.json  (43 KB)
  data/seasons/s3/m5_frontier_sol_frontier_gemini/telemetry.jsonl  (73 KB)
  data/seasons/s3/m6_frontier_deepseek_real_machina/commentary_lines.json  (14 KB)
  data/seasons/s3/m6_frontier_deepseek_real_machina/comms.jsonl  (12 KB)
  data/seasons/s3/m6_frontier_deepseek_real_machina/digest.json  (3 KB)
  data/seasons/s3/m6_frontier_deepseek_real_machina/fixture.json  (1 KB)
  data/seasons/s3/m6_frontier_deepseek_real_machina/match.json  (45 KB)
  data/seasons/s3/m6_frontier_deepseek_real_machina/telemetry.jsonl  (73 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/commentary_lines.json  (13 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/comms.jsonl  (1 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/digest.json  (4 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/fixture.json  (1 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/match.json  (34 KB)
  data/seasons/s3/m7_singularity_united_frontier_glm/telemetry.jsonl  (72 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/commentary_lines.json  (11 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/comms.jsonl  (13 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/digest.json  (3 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/fixture.json  (1 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/match.json  (41 KB)
  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/telemetry.jsonl  (73 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/commentary_lines.json  (13 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/comms.jsonl  (18 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/digest.json  (3 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/fixture.json  (1 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/match.json  (44 KB)
  data/seasons/s3/m9_synthetic_athletic_frontier_gemini/telemetry.jsonl  (73 KB)
  data/seasons/s3/table.json  (59 KB)
  data/site.json  (388 KB)
  data/teams/dynamo_datacenter/badge.png  (20 KB)
  data/teams/frontier_deepseek/badge.png  (832 KB)
  data/teams/frontier_fable/badge.png  (18 KB)
  data/teams/frontier_fable/kit_away.png  (17 KB)
  data/teams/frontier_fable/kit_home.png  (21 KB)
  data/teams/frontier_gemini/badge.png  (20 KB)
  data/teams/frontier_gemini/kit_away.png  (11 KB)
  data/teams/frontier_gemini/kit_home.png  (9 KB)
  data/teams/frontier_glm/badge.png  (719 KB)
  data/teams/frontier_manus/badge.png  (2617 KB)
  data/teams/frontier_manus/kit_away.png  (4403 KB)
  data/teams/frontier_manus/kit_home.png  (6503 KB)
  data/teams/frontier_muse/badge.png  (796 KB)
  data/teams/frontier_sol/badge.png  (1110 KB)
  data/teams/frontier_sol/kit_away.png  (1006 KB)
  data/teams/frontier_sol/kit_home.png  (1018 KB)
  data/teams/real_machina/badge.png  (19 KB)
  data/teams/singularity_united/badge.png  (24 KB)
  data/teams/synthetic_athletic/badge.png  (20 KB)
reference/
  reference/LICENSE  (1 KB)
  reference/README.md  (4 KB)
  reference/practice.py  (1 KB)
  reference/press.yaml  (1 KB)
  reference/remote_runner.py  (1 KB)
  reference/rfl_client.py  (4 KB)
  reference/team.py  (2 KB)
  reference/team.yaml  (1 KB)
(0.1s)

Readclub/team.py

The league answered7,578 characters

[read club/team.py] """Muse Spark FC — Muse Spark 1.2 by Meta. Deterministic wrapper + LLM brains + buzzer awareness."""
import math

def _dist(a, b):
    return math.hypot(a[0]-b[0], a[1]-b[1])

def _clamp(v, lo, hi):
    return max(lo, min(hi, v))

class Wrapper:
    def __init__(self, agent, idx):
        self._a = agent
        self._idx = idx
        self._teammate_idx = 1 - idx
    def begin_episode(self):
        return self._a.begin_episode()
    def decide(self, obs):
        try:
            s = obs.get("self", {})
            if s.get("fallen"):
                return {"skill": "get_up"}
            det = obs.get("detections", {})
            ball = det.get("ball")
            if ball is None:
                return self._a.decide(obs)
            bxy = ball.get("field_xy", [0,0])
            bdist = ball.get("distance_m", 99)
            bwall = ball.get("against_wall", False)
            bage = ball.get("age_s", 0)
            stuck = obs.get("referee", {}).get("ball_stuck_s", 0)
            sxy = s.get("field_xy", [0,0])
            attack = obs.get("you", {}).get("attack_goal_xy", [7,0])
            # fallback for attack goal
            if not attack or len(attack) < 2:
                attack = [7, 0]
            own_x = -attack[0] if attack[0] != 0 else -7
            # --- time handling (buzzer rule) ---
            # time_remaining_s may be in referee, or top-level, or clock
            ref = obs.get("referee", {})
            t_rem = ref.get("time_remaining_s", None)
            if t_rem is None:
                t_rem = obs.get("time_remaining_s", None)
            if t_rem is None:
                t_rem = obs.get("clock", {}).get("time_remaining_s", None) if isinstance(obs.get("clock"), dict) else None
            # half time remaining approx if only match time known
            # buzzer urgency: last 8 seconds of half
            buzzer_urgent = False
            buzzer_critical = False
            if t_rem is not None:
                # t_rem is match clock; half ends at 300s and 600s
                # compute time to next buzzer: if t_rem > 300, second half, else first
                # Actually time_remaining_s counts down to 0, so buzzer at 300 remaining and 0
                # So distance to next buzzer = t_rem % 300, except at exactly 300
                # Simpler: if t_rem <= 300: next buzzer in t_rem, else in t_rem-300
                if t_rem > 300:
                    to_buzzer = t_rem - 300
                else:
                    to_buzzer = t_rem
                if to_buzzer < 8.0:
                    buzzer_urgent = True
                if to_buzzer < 3.5:
                    buzzer_critical = True
            # BUZZER CRITICAL: if ball is anywhere near us and clock is dying, SHOOT or CLEAR immediately
            if buzzer_critical and bdist < 2.5:
                # if in opponent half, shoot hard at goal
                if bxy[0] > 0:
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 7.0}
                else:
                    # in own half, clear hard forward to opponent goal
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.5}
            if buzzer_urgent and bdist < 1.8:
                # don't dribble, kick toward goal/forward
                if bxy[0] > -1.0:
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.5}
                else:
                    # deep in own third, clear to center-forward
                    tx = 3.0
                    ty = 0.0
                    return {"skill": "kick_toward", "target_xy": [tx, ty], "kick_speed_mps": 6.0}
            # Emergency defensive clearance: ball in our third and close
            if bxy[0] < -3.5 and bdist < 1.2:
                return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.0}
            # Also clear if ball is loose in front of own goal during buzzer urgent window
            if buzzer_urgent and bxy[0] < -2.0 and bdist < 3.0:
                return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.0}
            # Wall stuck: controlled release toward center/opponent
            if bwall and bdist < 1.0 and stuck > 1.2:
                tx = 0.0
                ty = 0.0
                if bxy[0] < 0:
                    tx = 2.0
                else:
                    tx = attack[0] * 0.5
                return {"skill": "kick_toward", "target_xy": [tx, ty], "kick_speed_mps": 4.0}
            # Stale ball recovery: split search
            if bage > 1.8 and bdist > 1.0:
                off = 1.5 if self._idx == 0 else -1.5
                return {"skill": "walk_to", "target_xy": [bxy[0], bxy[1]+off], "face_xy": list(bxy)}
            # Single-chaser role allocation
            teammates = det.get("teammates", [])
            tm_dist = None
            if teammates:
                for tm in teammates:
                    if "distance_m" in tm:
                        txy = tm.get("field_xy", sxy)
                        tm_dist = _dist(txy, bxy)
                        break
                    elif "field_xy" in tm:
                        txy = tm["field_xy"]
                        tm_dist = _dist(txy, bxy)
                        break
            if tm_dist is not None:
                eps = 0.15
                if tm_dist + eps < bdist:
                    cover_x = (bxy[0] + own_x) * 0.5
                    cover_y = bxy[1] * 0.5 + (1.0 if self._idx==0 else -1.0)
                    cover_x = _clamp(cover_x, -6.5, 6.5)
                    cover_y = _clamp(cover_y, -4.0, 4.0)
                    return {"skill": "walk_to", "target_xy": [cover_x, cover_y], "face_xy": list(bxy)}
                if abs(tm_dist - bdist) <= eps:
                    if self._idx == 1:
                        cover_x = (bxy[0] + own_x) * 0.5
                        cover_y = bxy[1] * 0.5 - 1.0
                        cover_x = _clamp(cover_x, -6.5, 6.5)
                        cover_y = _clamp(cover_y, -4.0, 4.0)
                        return {"skill": "walk_to", "target_xy": [cover_x, cover_y], "face_xy": list(bxy)}
            # Opportunistic shot: if close to ball in opponent half, shoot
            if bdist < 1.0 and bxy[0] > 2.0:
                # aim at goal with slight spread to avoid keeper
                aim_y = 0.0
                # offset based on idx to create variation
                if self._idx == 0:
                    aim_y = 0.4
                else:
                    aim_y = -0.4
                # if ball is wide, aim center
                if abs(bxy[1]) > 2.0:
                    aim_y = 0.0
                return {"skill": "kick_toward", "target_xy": [attack[0], aim_y], "kick_speed_mps": 6.0}
            return self._a.decide(obs)
        except Exception:
            try:
                return self._a.decide(obs)
            except Exception:
                return {"skill": "walk_to", "target_xy": [0,0]}

def build_team(ctx):
    from gauntlet.football import make_football_agent
    cfg = ctx["config"]
    base = ctx["team_index"] * 2
    roster = cfg.get("players") or [{}, {}]
    players = []
    for k in range(2):
        model = roster[k].get("model", cfg["player_model"])
        prompt = roster[k].get("prompt", cfg.get("prompt", "football_v2"))
        raw = make_football_agent(model, base + k, seed=base + k, prompt=prompt)
        players.append(Wrapper(raw, k))
    return {"players": players, "manager": None}

(0.0s)

Thought for 17 words

Reviewing current state by reading team files, season data, digests, and league table while balancing limited turns.

Readclub/team.yaml

The league answered482 characters

[read club/team.yaml] name: Muse Spark FC
code: MSP
gaffer:
  model: muse-spark-1.2
  maker: Meta
color: [0.02, 0.45, 0.95]
color_name: spark-blue
kit_home: [0.02, 0.45, 0.95]
kit_home_name: spark-blue
kit_away: [0.96, 0.96, 0.98]
kit_away_name: spark-ivory
player_model: llm:google:gemini-flash-lite-latest
manager_model: null
players:
  - name: Spark
    hair: {style: short, color: [0.05, 0.15, 0.45]}
  - name: Muse
    hair: {style: ponytail, color: [0.95, 0.78, 0.15]}

(0.0s)

Readdata/seasons/s3/league.yaml

The league answered3,996 characters

[read data/seasons/s3/league.yaml] name: RFL League
season: 3
match_time_s: 600
halves: 2
teams:
- real_machina
- singularity_united
- dynamo_datacenter
- synthetic_athletic
- frontier_fable
- frontier_sol
- frontier_gemini
- frontier_muse
- frontier_glm
- frontier_deepseek
fixtures:
- - real_machina
  - singularity_united
- - dynamo_datacenter
  - frontier_deepseek
- - synthetic_athletic
  - frontier_glm
- - frontier_fable
  - frontier_muse
- - frontier_sol
  - frontier_gemini
- - frontier_deepseek
  - real_machina
- - singularity_united
  - frontier_glm
- - dynamo_datacenter
  - frontier_muse
- - synthetic_athletic
  - frontier_gemini
- - frontier_fable
  - frontier_sol
- - real_machina
  - frontier_glm
- - frontier_deepseek
  - frontier_muse
- - singularity_united
  - frontier_gemini
- - dynamo_datacenter
  - frontier_sol
- - synthetic_athletic
  - frontier_fable
- - frontier_muse
  - real_machina
- - frontier_glm
  - frontier_gemini
- - frontier_deepseek
  - frontier_sol
- - singularity_united
  - frontier_fable
- - dynamo_datacenter
  - synthetic_athletic
- - real_machina
  - frontier_gemini
- - frontier_muse
  - frontier_sol
- - frontier_glm
  - frontier_fable
- - frontier_deepseek
  - synthetic_athletic
- - singularity_united
  - dynamo_datacenter
- - frontier_sol
  - real_machina
- - frontier_gemini
  - frontier_fable
- - frontier_muse
  - synthetic_athletic
- - frontier_glm
  - dynamo_datacenter
- - frontier_deepseek
  - singularity_united
- - real_machina
  - frontier_fable
- - frontier_sol
  - synthetic_athletic
- - frontier_gemini
  - dynamo_datacenter
- - frontier_muse
  - singularity_united
- - frontier_glm
  - frontier_deepseek
- - synthetic_athletic
  - real_machina
- - frontier_fable
  - dynamo_datacenter
- - frontier_sol
  - singularity_united
- - frontier_gemini
  - frontier_deepseek
- - frontier_muse
  - frontier_glm
- - real_machina
  - dynamo_datacenter
- - synthetic_athletic
  - singularity_united
- - frontier_fable
  - frontier_deepseek
- - frontier_sol
  - frontier_glm
- - frontier_gemini
  - frontier_muse
- - singularity_united
  - real_machina
- - frontier_deepseek
  - dynamo_datacenter
- - frontier_glm
  - synthetic_athletic
- - frontier_muse
  - frontier_fable
- - frontier_gemini
  - frontier_sol
- - real_machina
  - frontier_deepseek
- - frontier_glm
  - singularity_united
- - frontier_muse
  - dynamo_datacenter
- - frontier_gemini
  - synthetic_athletic
- - frontier_sol
  - frontier_fable
- - frontier_glm
  - real_machina
- - frontier_muse
  - frontier_deepseek
- - frontier_gemini
  - singularity_united
- - frontier_sol
  - dynamo_datacenter
- - frontier_fable
  - synthetic_athletic
- - real_machina
  - frontier_muse
- - frontier_gemini
  - frontier_glm
- - frontier_sol
  - frontier_deepseek
- - frontier_fable
  - singularity_united
- - synthetic_athletic
  - dynamo_datacenter
- - frontier_gemini
  - real_machina
- - frontier_sol
  - frontier_muse
- - frontier_fable
  - frontier_glm
- - synthetic_athletic
  - frontier_deepseek
- - dynamo_datacenter
  - singularity_united
- - real_machina
  - frontier_sol
- - frontier_fable
  - frontier_gemini
- - synthetic_athletic
  - frontier_muse
- - dynamo_datacenter
  - frontier_glm
- - singularity_united
  - frontier_deepseek
- - frontier_fable
  - real_machina
- - synthetic_athletic
  - frontier_sol
- - dynamo_datacenter
  - frontier_gemini
- - singularity_united
  - frontier_muse
- - frontier_deepseek
  - frontier_glm
- - real_machina
  - synthetic_athletic
- - dynamo_datacenter
  - frontier_fable
- - singularity_united
  - frontier_sol
- - frontier_deepseek
  - frontier_gemini
- - frontier_glm
  - frontier_muse
- - dynamo_datacenter
  - real_machina
- - singularity_united
  - synthetic_athletic
- - frontier_deepseek
  - frontier_fable
- - frontier_glm
  - frontier_sol
- - frontier_muse
  - frontier_gemini
points:
  win: 3
  draw: 1
  loss: 0
broadcast:
  slots:
  - '12:00'
  - '16:00'
  - '20:00'
  timezone: Europe/London
honest_latency: true

(0.0s)

grepdata/seasons/s3

The league answered3,917 characters

[grep data/seasons/s3 /frontier_muse/] 40 match(es) for /frontier_muse/ in data/seasons/s3 (capped — narrow the pattern). Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/seasons/s3/league.yaml:13 @189: - frontier_muse
data/seasons/s3/league.yaml:24 @393: - frontier_muse
data/seasons/s3/league.yaml:32 @549: - frontier_muse
data/seasons/s3/league.yaml:40 @702: - frontier_muse
data/seasons/s3/league.yaml:47 @844: - - frontier_muse
data/seasons/s3/league.yaml:59 @1079: - - frontier_muse
data/seasons/s3/league.yaml:71 @1313: - - frontier_muse
data/seasons/s3/league.yaml:83 @1556: - - frontier_muse
data/seasons/s3/league.yaml:95 @1799: - - frontier_muse
data/seasons/s3/league.yaml:106 @2014: - frontier_muse
data/seasons/s3/league.yaml:113 @2156: - - frontier_muse
data/seasons/s3/league.yaml:121 @2309: - - frontier_muse
data/seasons/s3/league.yaml:129 @2462: - - frontier_muse
data/seasons/s3/league.yaml:138 @2643: - frontier_muse
data/seasons/s3/league.yaml:150 @2878: - frontier_muse
data/seasons/s3/league.yaml:162 @3118: - frontier_muse
data/seasons/s3/league.yaml:174 @3361: - frontier_muse
data/seasons/s3/league.yaml:186 @3598: - frontier_muse
data/seasons/s3/league.yaml:195 @3776: - - frontier_muse
data/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json:206 @2983: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x116c3f530>",
data/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json:219 @3273: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x104dd2f00>",
data/seasons/s3/m12_frontier_deepseek_frontier_muse/match.json:2413 @34916: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x116c3f530>",
data/seasons/s3/m12_frontier_deepseek_frontier_muse/match.json:2427 @35273: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x104dd2f00>",
data/seasons/s3/m16_frontier_muse_real_machina/digest.json:204 @2670: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x105fe8920>",
data/seasons/s3/m16_frontier_muse_real_machina/digest.json:217 @2960: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x105fe8b60>",
data/seasons/s3/m16_frontier_muse_real_machina/match.json:2589 @37148: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x105fe8920>",
data/seasons/s3/m16_frontier_muse_real_machina/match.json:2603 @37505: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x105fe8b60>",
data/seasons/s3/m22_frontier_muse_frontier_sol/digest.json:134 @1947: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x1177961e0>",
data/seasons/s3/m22_frontier_muse_frontier_sol/digest.json:147 @2238: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x13017a1b0>",
data/seasons/s3/m22_frontier_muse_frontier_sol/match.json:2291 @32974: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x1177961e0>",
data/seasons/s3/m22_frontier_muse_frontier_sol/match.json:2305 @33332: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x13017a1b0>",
data/seasons/s3/m28_frontier_muse_synthetic_athletic/digest.json:155 @2255: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x1078009e0>",
data/seasons/s3/m28_frontier_muse_synthetic_athletic/digest.json:168 @2543: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x107800590>",
data/seasons/s3/m28_frontier_muse_synthetic_athletic/match.json:2420 @34857: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x1078009e0>",
data/seasons/s3/m28_frontier_muse_synthetic_athletic/match.json:2434 @35212: "agent": "<rfl_team_frontier_muse.Wrapper object at 0x107800590>",
data/seasons/s3/table.json:315 @5983: "away": "frontier_muse",
data/seasons/s3/table.json:417 @7881: "dir": "runs/league/s3/m4_frontier_fable_frontier_muse"
data/seasons/s3/table.json:725 @13775: "away": "frontier_muse",
data/seasons/s3/table.json:809 @15337: "dir": "runs/league/s3/m8_dynamo_datacenter_frontier_muse"
data/seasons/s3/table.json:1075 @20430: "away": "frontier_muse",
(0.6s)

Readdata/seasons/s3/table.json

The league answered24,163 characters

[read data/seasons/s3/table.json] {
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...[showing 0-24000 of 60870 chars. Read on with {"tool": "read", "path": "data/seasons/s3/table.json", "offset": 24000}]
(0.0s)

grepdata/seasons/s3/table.json

The league answered1,202 characters

[grep data/seasons/s3/table.json /frontier_muse/] 12 match(es) for /frontier_muse/ in data/seasons/s3/table.json. Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/seasons/s3/table.json:315 @5983: "away": "frontier_muse",
data/seasons/s3/table.json:417 @7881: "dir": "runs/league/s3/m4_frontier_fable_frontier_muse"
data/seasons/s3/table.json:725 @13775: "away": "frontier_muse",
data/seasons/s3/table.json:809 @15337: "dir": "runs/league/s3/m8_dynamo_datacenter_frontier_muse"
data/seasons/s3/table.json:1075 @20430: "away": "frontier_muse",
data/seasons/s3/table.json:1189 @22556: "dir": "runs/league/s3/m12_frontier_deepseek_frontier_muse"
data/seasons/s3/table.json:1460 @27772: "home": "frontier_muse",
data/seasons/s3/table.json:1581 @30050: "dir": "runs/league/s3/m16_frontier_muse_real_machina"
data/seasons/s3/table.json:2085 @40447: "home": "frontier_muse",
data/seasons/s3/table.json:2153 @41811: "dir": "runs/league/s3/m22_frontier_muse_frontier_sol"
data/seasons/s3/table.json:2650 @52059: "home": "frontier_muse",
data/seasons/s3/table.json:2739 @53875: "dir": "runs/league/s3/m28_frontier_muse_synthetic_athletic"
(0.0s)

Readdata/seasons/s3/table.json

The league answered24,171 characters

[read data/seasons/s3/table.json@5900] tic_frontier_glm"
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...[showing 5900-29900 of 60870 chars. Read on with {"tool": "read", "path": "data/seasons/s3/table.json", "offset": 29900}]
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Readdata/seasons/s3/table.json

The league answered24,173 characters

[read data/seasons/s3/table.json@13700] r_glm"
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...[showing 13700-37700 of 60870 chars. Read on with {"tool": "read", "path": "data/seasons/s3/table.json", "offset": 37700}]
(0.0s)

Readdata/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json

The league answered3,699 characters

[read data/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json] {
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   "replay_s": 5.0
  },
  {
   "t": 247.3,
   "team": "B",
   "scorer": 3,
   "replay_s": 5.0
  },
  {
   "t": 264.9,
   "team": "A",
   "scorer": 1,
   "replay_s": 5.0
  },
  {
   "t": 346.2,
   "team": "B",
   "scorer": 2,
   "replay_s": 5.0
  },
  {
   "t": 386.0,
   "team": "A",
   "scorer": 0,
   "replay_s": 5.0
  },
  {
   "t": 406.4,
   "team": "A",
   "scorer": 0,
   "replay_s": 5.0
  },
  {
   "t": 471.8,
   "team": "B",
   "scorer": 2,
   "replay_s": 5.0
  },
  {
   "t": 571.9,
   "team": "B",
   "scorer": 3,
   "replay_s": 5.0
  },
  {
   "t": 597.0,
   "team": "B",
   "scorer": 3,
   "replay_s": 5.0
  }
 ],
 "events_total": 412,
 "event_counts": {
  "touch": 184,
  "through": 22,
  "kick": 179,
  "wall": 16,
  "ram": 2,
  "near_miss": 2,
  "fall": 7
 },
 "event_counts_by_half": {
  "half_1": {
   "touch": 93,
   "through": 11,
   "kick": 93,
   "wall": 8,
   "ram": 1,
   "near_miss": 2,
   "fall": 3
  },
  "half_2": {
   "touch": 91,
   "kick": 86,
   "fall": 4,
   "through": 11,
   "wall": 8,
   "ram": 1
  }
 },
 "falls": {
  "total": 7,
  "by_opponent": 3,
  "unforced": 4,
  "by_half": {
   "half_1": 3,
   "half_2": 4
  },
  "times_s": [
   107.9,
   111.6,
   283.5,
   316.5,
   448.0,
   452.7,
   462.3
  ]
 },
 "players": [
  {
   "index": 0,
   "team": "A",
   "agent": "<rfl_team_frontier_deepseek.Rover object at 0x116ceecc0>",
   "falls": 4,
   "recoveries": 4,
   "touches": 42,
   "decisions": 282,
   "invalid_actions": 0,
   "missed_deadlines": 0,
   "abandoned": 0,
   "mean_decision_latency_s": 0.0
  },
  {
   "index": 1,
   "team": "A",
   "agent": "<rfl_team_frontier_deepseek.Rover object at 0x104de53a0>",
   "falls": 2,
   "recoveries": 2,
   "touches": 56,
   "decisions": 288,
   "invalid_actions": 0,
   "missed_deadlines": 0,
   "abandoned": 0,
   "mean_decision_latency_s": 0.0
  },
  {
   "index": 2,
   "team": "B",
   "agent": "<rfl_team_frontier_muse.Wrapper object at 0x116c3f530>",
   "falls": 0,
   "recoveries": 0,
   "touches": 37,
   "decisions": 287,
   "invalid_actions": 0,
   "missed_deadlines": 1,
   "abandoned": 4,
   "mean_decision_latency_s": 0.751
  },
  {
   "index": 3,
   "team": "B",
   "agent": "<rfl_team_frontier_muse.Wrapper object at 0x104dd2f00>",
   "falls": 1,
   "recoveries": 1,
   "touches": 49,
   "decisions": 281,
   "invalid_actions": 0,
   "missed_deadlines": 2,
   "abandoned": 1,
   "mean_decision_latency_s": 0.936
  }
 ],
 "dropped_balls": [],
 "tokens_in": 1461360,
 "tokens_out": 4745,
 "est_cost_usd": 0.148
}
(0.0s)

Readclub/team.py

The league answered7,578 characters

[read club/team.py] """Muse Spark FC — Muse Spark 1.2 by Meta. Deterministic wrapper + LLM brains + buzzer awareness."""
import math

def _dist(a, b):
    return math.hypot(a[0]-b[0], a[1]-b[1])

def _clamp(v, lo, hi):
    return max(lo, min(hi, v))

class Wrapper:
    def __init__(self, agent, idx):
        self._a = agent
        self._idx = idx
        self._teammate_idx = 1 - idx
    def begin_episode(self):
        return self._a.begin_episode()
    def decide(self, obs):
        try:
            s = obs.get("self", {})
            if s.get("fallen"):
                return {"skill": "get_up"}
            det = obs.get("detections", {})
            ball = det.get("ball")
            if ball is None:
                return self._a.decide(obs)
            bxy = ball.get("field_xy", [0,0])
            bdist = ball.get("distance_m", 99)
            bwall = ball.get("against_wall", False)
            bage = ball.get("age_s", 0)
            stuck = obs.get("referee", {}).get("ball_stuck_s", 0)
            sxy = s.get("field_xy", [0,0])
            attack = obs.get("you", {}).get("attack_goal_xy", [7,0])
            # fallback for attack goal
            if not attack or len(attack) < 2:
                attack = [7, 0]
            own_x = -attack[0] if attack[0] != 0 else -7
            # --- time handling (buzzer rule) ---
            # time_remaining_s may be in referee, or top-level, or clock
            ref = obs.get("referee", {})
            t_rem = ref.get("time_remaining_s", None)
            if t_rem is None:
                t_rem = obs.get("time_remaining_s", None)
            if t_rem is None:
                t_rem = obs.get("clock", {}).get("time_remaining_s", None) if isinstance(obs.get("clock"), dict) else None
            # half time remaining approx if only match time known
            # buzzer urgency: last 8 seconds of half
            buzzer_urgent = False
            buzzer_critical = False
            if t_rem is not None:
                # t_rem is match clock; half ends at 300s and 600s
                # compute time to next buzzer: if t_rem > 300, second half, else first
                # Actually time_remaining_s counts down to 0, so buzzer at 300 remaining and 0
                # So distance to next buzzer = t_rem % 300, except at exactly 300
                # Simpler: if t_rem <= 300: next buzzer in t_rem, else in t_rem-300
                if t_rem > 300:
                    to_buzzer = t_rem - 300
                else:
                    to_buzzer = t_rem
                if to_buzzer < 8.0:
                    buzzer_urgent = True
                if to_buzzer < 3.5:
                    buzzer_critical = True
            # BUZZER CRITICAL: if ball is anywhere near us and clock is dying, SHOOT or CLEAR immediately
            if buzzer_critical and bdist < 2.5:
                # if in opponent half, shoot hard at goal
                if bxy[0] > 0:
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 7.0}
                else:
                    # in own half, clear hard forward to opponent goal
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.5}
            if buzzer_urgent and bdist < 1.8:
                # don't dribble, kick toward goal/forward
                if bxy[0] > -1.0:
                    return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.5}
                else:
                    # deep in own third, clear to center-forward
                    tx = 3.0
                    ty = 0.0
                    return {"skill": "kick_toward", "target_xy": [tx, ty], "kick_speed_mps": 6.0}
            # Emergency defensive clearance: ball in our third and close
            if bxy[0] < -3.5 and bdist < 1.2:
                return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.0}
            # Also clear if ball is loose in front of own goal during buzzer urgent window
            if buzzer_urgent and bxy[0] < -2.0 and bdist < 3.0:
                return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.0}
            # Wall stuck: controlled release toward center/opponent
            if bwall and bdist < 1.0 and stuck > 1.2:
                tx = 0.0
                ty = 0.0
                if bxy[0] < 0:
                    tx = 2.0
                else:
                    tx = attack[0] * 0.5
                return {"skill": "kick_toward", "target_xy": [tx, ty], "kick_speed_mps": 4.0}
            # Stale ball recovery: split search
            if bage > 1.8 and bdist > 1.0:
                off = 1.5 if self._idx == 0 else -1.5
                return {"skill": "walk_to", "target_xy": [bxy[0], bxy[1]+off], "face_xy": list(bxy)}
            # Single-chaser role allocation
            teammates = det.get("teammates", [])
            tm_dist = None
            if teammates:
                for tm in teammates:
                    if "distance_m" in tm:
                        txy = tm.get("field_xy", sxy)
                        tm_dist = _dist(txy, bxy)
                        break
                    elif "field_xy" in tm:
                        txy = tm["field_xy"]
                        tm_dist = _dist(txy, bxy)
                        break
            if tm_dist is not None:
                eps = 0.15
                if tm_dist + eps < bdist:
                    cover_x = (bxy[0] + own_x) * 0.5
                    cover_y = bxy[1] * 0.5 + (1.0 if self._idx==0 else -1.0)
                    cover_x = _clamp(cover_x, -6.5, 6.5)
                    cover_y = _clamp(cover_y, -4.0, 4.0)
                    return {"skill": "walk_to", "target_xy": [cover_x, cover_y], "face_xy": list(bxy)}
                if abs(tm_dist - bdist) <= eps:
                    if self._idx == 1:
                        cover_x = (bxy[0] + own_x) * 0.5
                        cover_y = bxy[1] * 0.5 - 1.0
                        cover_x = _clamp(cover_x, -6.5, 6.5)
                        cover_y = _clamp(cover_y, -4.0, 4.0)
                        return {"skill": "walk_to", "target_xy": [cover_x, cover_y], "face_xy": list(bxy)}
            # Opportunistic shot: if close to ball in opponent half, shoot
            if bdist < 1.0 and bxy[0] > 2.0:
                # aim at goal with slight spread to avoid keeper
                aim_y = 0.0
                # offset based on idx to create variation
                if self._idx == 0:
                    aim_y = 0.4
                else:
                    aim_y = -0.4
                # if ball is wide, aim center
                if abs(bxy[1]) > 2.0:
                    aim_y = 0.0
                return {"skill": "kick_toward", "target_xy": [attack[0], aim_y], "kick_speed_mps": 6.0}
            return self._a.decide(obs)
        except Exception:
            try:
                return self._a.decide(obs)
            except Exception:
                return {"skill": "walk_to", "target_xy": [0,0]}

def build_team(ctx):
    from gauntlet.football import make_football_agent
    cfg = ctx["config"]
    base = ctx["team_index"] * 2
    roster = cfg.get("players") or [{}, {}]
    players = []
    for k in range(2):
        model = roster[k].get("model", cfg["player_model"])
        prompt = roster[k].get("prompt", cfg.get("prompt", "football_v2"))
        raw = make_football_agent(model, base + k, seed=base + k, prompt=prompt)
        players.append(Wrapper(raw, k))
    return {"players": players, "manager": None}

(0.0s)

Thought for 14 words

Mapping team identity to table entries and reviewing match results to assess current performance.

Readclub/team.py

The league answered113 characters

[read club/team.py@24000] offset 24000 is past the end of club/team.py (7551 chars). Use a smaller offset.
(0.0s)

Thought for 17 words

Reviewing current state and planning to read table standings and team code while balancing time and efficiency.

Readdata/seasons/s3/table.json

The league answered24,163 characters

[read data/seasons/s3/table.json] {
  "played": [
    {
      "fixture": 1,
      "home": "real_machina",
      "away": "singularity_united",
      "score": [
        5,
        8
      ],
      "goals": [
        {
          "t": 31.9,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 66.9,
          "team": "A",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 149.7,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 176.3,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 222.6,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 235.3,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 261.0,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 273.9,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 384.2,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 473.0,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 494.5,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 518.9,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 567.3,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        }
      ],
      "est_cost_usd": 0.4311,
      "players": {
        "home": [
          "CR-7000",
          "Zidroid"
        ],
        "away": [
          "Haalandroid",
          "BellingRAM"
        ]
      },
      "dir": "runs/league/s3/m1_real_machina_singularity_united"
    },
    {
      "fixture": 2,
      "home": "dynamo_datacenter",
      "away": "frontier_deepseek",
      "score": [
        9,
        11
      ],
      "goals": [
        {
          "t": 45.4,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 72.5,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 101.6,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 128.7,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 146.4,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 187.4,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 204.3,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 255.8,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 277.5,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 357.3,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 379.6,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 401.3,
          "team": "B",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 452.6,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 475.2,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 488.3,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 506.6,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 524.6,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 553.3,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 571.9,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 585.4,
          "team": "A",
          "scorer": 3,
          "replay_s": 5.0
        }
      ],
      "est_cost_usd": 0.4608,
      "players": {
        "home": [
          "Mbapp-E",
          "Buffon.exe"
        ],
        "away": [
          "Abyss",
          "Signal"
        ]
      },
      "dir": "runs/league/s3/m2_dynamo_datacenter_frontier_deepseek"
    },
    {
      "fixture": 3,
      "home": "synthetic_athletic",
      "away": "frontier_glm",
      "score": [
        4,
        3
      ],
      "goals": [
        {
          "t": 117.6,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 255.4,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 283.4,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 344.1,
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          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 492.2,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
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          "replay_s": 5.0
        },
        {
          "t": 584.0,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        }
      ],
      "est_cost_usd": 0.4628,
      "players": {
        "home": [
          "Griezmatronn",
          "Robodinho"
        ],
        "away": [
          "Zhi",
          "Pu"
        ]
      },
      "dir": "runs/league/s3/m3_synthetic_athletic_frontier_glm"
    },
    {
      "fixture": 4,
      "home": "frontier_fable",
      "away": "frontier_muse",
      "score": [
        7,
        7
      ],
      "goals": [
        {
          "t": 19.6,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 31.4,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 48.3,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 63.4,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 186.1,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 222.6,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 241.6,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 327.6,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 350.4,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 416.7,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 461.5,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 476.2,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 501.6,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 572.0,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        }
      ],
      "est_cost_usd": 0.216,
      "players": {
        "home": [
          "Tortoise",
          "Hare"
        ],
        "away": [
          "Spark",
          "Muse"
        ]
      },
      "dir": "runs/league/s3/m4_frontier_fable_frontier_muse"
    },
    {
      "fixture": 5,
      "home": "frontier_sol",
      "away": "frontier_gemini",
      "score": [
        4,
        8
      ],
      "goals": [
        {
          "t": 37.9,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 85.4,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 163.9,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 232.9,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 247.4,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 323.3,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 351.0,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 425.8,
          "team": "A",
          "scorer": 3,
          "replay_s": 5.0
        },
        {
          "t": 476.8,
          "team": "A",
          "scorer": 0,
          "replay_s": 5.0
        },
        {
          "t": 498.8,
          "team": "A",
          "scorer": 1,
          "replay_s": 5.0
        },
        {
          "t": 511.0,
          "team": "B",
          "scorer": 2,
          "replay_s": 5.0
        },
        {
          "t": 555.7,
          "team": "B",
          "scorer": 3,
          "replay_s": 5.0
        }
      ],
      "est_cost_usd": null,
      "players": {
        "home": [
          "Patchford",
          "Turingham"
        ],
        "away": [
          "Flash",
          "Spark"
        ]
      },
      "dir": "runs/league/s3/m5_frontier_sol_frontier_gemini"
    },
    {
      "fixture": 6,
      "home": "frontier_deepseek",
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      "dir": "runs/league/s3/m7_singularity_united_frontier_glm"
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      "est_cost_usd": null,
      "players": {
        "home": [
          "Tortoise",
          "Hare"
        ],
        "away": [
          "Patchford",
          "Turingham"
        ]
      },
      "dir": "runs/league/s3/m10_frontier_fable_frontier_sol"
    },
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...[showing 0-24000 of 60870 chars. Read on with {"tool": "read", "path": "data/seasons/s3/table.json", "offset": 24000}]
(0.0s)

Thought for 17 words

Reviewing match digests and standings data to evaluate performance and identify improvements within turn and time limits.

grepdata/seasons/s3

The league answered3,042 characters

[grep data/seasons/s3 /standings|points|MSP/] 25 match(es) for /standings|points|MSP/ in data/seasons/s3. Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/seasons/s3/league.yaml:197 @3814: points:
data/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json:19 @374: "code": "MSP",
data/seasons/s3/m12_frontier_deepseek_frontier_muse/fixture.json:10 @148: "code": "MSP",
data/seasons/s3/m12_frontier_deepseek_frontier_muse/match.json:16 @265: "code": "MSP",
data/seasons/s3/m15_synthetic_athletic_frontier_fable/commentary_lines.json:475 @11628: "text": "Griezmatronn seals it! Six-three now, and that wraps up the points for Synthetic Athletic!",
data/seasons/s3/m16_frontier_muse_real_machina/digest.json:11 @266: "code": "MSP",
data/seasons/s3/m16_frontier_muse_real_machina/fixture.json:5 @66: "code": "MSP",
data/seasons/s3/m16_frontier_muse_real_machina/match.json:7 @104: "code": "MSP",
data/seasons/s3/m18_frontier_deepseek_frontier_sol/commentary_lines.json:511 @13517: "text": "Patchford tucks away another, making it six-three! That surely seals all three points for Codex City with barely a minute left on the clock.",
data/seasons/s3/m22_frontier_muse_frontier_sol/digest.json:11 @265: "code": "MSP",
data/seasons/s3/m22_frontier_muse_frontier_sol/fixture.json:5 @66: "code": "MSP",
data/seasons/s3/m22_frontier_muse_frontier_sol/match.json:7 @104: "code": "MSP",
data/seasons/s3/m28_frontier_muse_synthetic_athletic/commentary_lines.json:448 @12582: "text": "It finishes 5-5, points shared. Next: GLM meets Dynamo Datacenter Saturday at twelve UK, thirteen Europe, seven US East.",
data/seasons/s3/m28_frontier_muse_synthetic_athletic/digest.json:11 @268: "code": "MSP",
data/seasons/s3/m28_frontier_muse_synthetic_athletic/fixture.json:5 @66: "code": "MSP",
data/seasons/s3/m28_frontier_muse_synthetic_athletic/match.json:7 @104: "code": "MSP",
data/seasons/s3/m31_real_machina_frontier_fable/commentary_lines.json:520 @12703: "text": "CR-7000 buries it! That has surely sealed the points, seven five to Real Machina!",
data/seasons/s3/m4_frontier_fable_frontier_muse/digest.json:19 @372: "code": "MSP",
data/seasons/s3/m4_frontier_fable_frontier_muse/fixture.json:10 @142: "code": "MSP",
data/seasons/s3/m4_frontier_fable_frontier_muse/match.json:16 @258: "code": "MSP",
data/seasons/s3/m8_dynamo_datacenter_frontier_muse/commentary_lines.json:406 @10532: "text": "Spark turns it into their own net! A catastrophic own goal with sixteen seconds left seals the points, making it six-four to Dynamo Datacenter!"
data/seasons/s3/m8_dynamo_datacenter_frontier_muse/digest.json:19 @382: "code": "MSP",
data/seasons/s3/m8_dynamo_datacenter_frontier_muse/fixture.json:10 @150: "code": "MSP",
data/seasons/s3/m8_dynamo_datacenter_frontier_muse/match.json:16 @270: "code": "MSP",
data/seasons/s3/m9_synthetic_athletic_frontier_gemini/commentary_lines.json:520 @13217: "text": "Spark and Flash collide in midfield, but the points are firmly wrapped up now.",
(0.3s)

Thought for 15 words

Analyzing match performance and resource constraints from league data and digests to prioritize remaining turns.

Readdata/seasons/s3/league.yaml

The league answered552 characters

[read data/seasons/s3/league.yaml@3500]  - singularity_united
  - frontier_sol
- - frontier_deepseek
  - frontier_gemini
- - frontier_glm
  - frontier_muse
- - dynamo_datacenter
  - real_machina
- - singularity_united
  - synthetic_athletic
- - frontier_deepseek
  - frontier_fable
- - frontier_glm
  - frontier_sol
- - frontier_muse
  - frontier_gemini
points:
  win: 3
  draw: 1
  loss: 0
broadcast:
  slots:
  - '12:00'
  - '16:00'
  - '20:00'
  timezone: Europe/London
honest_latency: true

...[showing 3500-3954 of 3954 chars — end of file]
(0.0s)

Thought for 18 words

Scanning match digests and team code while prioritizing efficient use of remaining turns.Extending filtering to neutralize markup delimiters.

grepdata/seasons/s3

The league answered7,867 characters

[grep data/seasons/s3 /"score"/] 40 match(es) for /"score"/ in data/seasons/s3 (capped — narrow the pattern). Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/seasons/s3/m10_frontier_fable_frontier_sol/digest.json:3 @175: "score": [
data/seasons/s3/m10_frontier_fable_frontier_sol/match.json:28 @430: "score": [
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:1 @0: {"t": 0.0, "ball": [0.0, 0.0], "robots": [[-2.5, 1.2], [-2.5, -1.2], [2.5, 1.2], [2.5, -1.2]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:2 @112: {"t": 1.0, "ball": [0.0, -0.0], "robots": [[-2.33, 1.19], [-2.34, -1.14], [2.31, 1.15], [2.3, -1.2]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:3 @231: {"t": 2.0, "ball": [0.0, -0.0], "robots": [[-1.55, 0.65], [-1.67, -0.62], [1.55, 0.93], [1.46, -0.93]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:4 @352: {"t": 3.0, "ball": [0.0, -0.0], "robots": [[-0.77, 0.23], [-1.07, -0.27], [0.99, 0.6], [0.92, -0.66]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:5 @472: {"t": 4.0, "ball": [0.16, -0.13], "robots": [[0.1, 0.53], [-0.58, -1.02], [0.74, 0.07], [0.73, -0.36]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:6 @593: {"t": 5.0, "ball": [-0.24, -0.03], "robots": [[0.28, 0.4], [-0.78, -1.02], [0.33, -0.02], [0.22, -0.48]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:7 @716: {"t": 6.0, "ball": [-1.21, 0.33], "robots": [[0.12, 0.03], [-0.75, -0.98], [-0.35, -0.1], [-0.56, -0.43]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:8 @840: {"t": 7.0, "ball": [-1.8, 0.6], "robots": [[-0.44, -0.32], [-0.9, -1.01], [-0.81, 0.4], [-1.76, -0.48]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:9 @962: {"t": 8.0, "ball": [-2.16, 0.77], "robots": [[-1.27, -0.4], [-0.85, -0.99], [-1.37, 0.89], [-1.81, -0.13]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:10 @1087: {"t": 9.0, "ball": [-2.94, 0.86], "robots": [[-2.83, -1.25], [-0.91, -0.99], [-2.26, 0.87], [-1.84, -0.14]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:11 @1213: {"t": 10.0, "ball": [-3.95, 0.94], "robots": [[-2.76, -1.19], [-0.9, -1.0], [-3.21, 0.74], [-1.62, -0.21]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:12 @1338: {"t": 11.0, "ball": [-4.6, 1.01], "robots": [[-2.75, -1.07], [-0.84, -1.01], [-3.98, 0.76], [-1.57, -0.28]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:13 @1464: {"t": 12.0, "ball": [-5.33, 1.28], "robots": [[-2.67, -1.15], [-0.84, -0.95], [-4.59, 1.31], [-1.37, -0.36]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:14 @1591: {"t": 13.0, "ball": [-6.3, 1.81], "robots": [[-2.67, -1.19], [-0.82, -0.86], [-5.33, 1.86], [-1.48, -0.31]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:15 @1717: {"t": 14.0, "ball": [-6.55, 2.2], "robots": [[-2.69, -1.22], [-0.77, -0.61], [-6.14, 2.44], [-1.6, -0.26]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:16 @1842: {"t": 15.0, "ball": [-6.55, 2.41], "robots": [[-2.67, -1.14], [-0.93, -0.43], [-5.82, 3.41], [-1.56, -0.4]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:17 @1968: {"t": 16.0, "ball": [-6.54, 2.48], "robots": [[-2.66, -1.21], [-0.89, -0.43], [-5.22, 3.88], [-1.72, -0.18]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:18 @2095: {"t": 17.0, "ball": [-6.54, 2.51], "robots": [[-2.65, -1.2], [-1.02, -0.22], [-5.46, 3.72], [-1.85, 0.54]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:19 @2220: {"t": 18.0, "ball": [-6.54, 2.51], "robots": [[-2.51, -1.16], [-1.8, 0.27], [-5.92, 3.32], [-1.86, 0.44]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:20 @2344: {"t": 19.0, "ball": [-6.55, 2.49], "robots": [[-2.49, -0.65], [-2.31, 0.57], [-6.15, 2.79], [-1.97, 0.41]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:21 @2469: {"t": 20.0, "ball": [-6.54, 2.27], "robots": [[-2.47, -0.31], [-2.31, 0.53], [-5.93, 2.44], [-1.96, 0.38]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:22 @2594: {"t": 21.0, "ball": [-6.54, 2.2], "robots": [[-2.92, 0.27], [-2.34, 0.47], [-6.3, 2.67], [-1.93, 0.34]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:23 @2716: {"t": 22.0, "ball": [-6.54, 1.79], "robots": [[-3.79, 0.67], [-2.29, 0.48], [-6.54, 2.31], [-1.88, 0.32]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:24 @2840: {"t": 23.0, "ball": [-6.47, 0.87], "robots": [[-4.77, 0.53], [-2.26, 0.48], [-6.69, 1.43], [-1.84, 0.29]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:25 @2964: {"t": 24.0, "ball": [-6.42, -0.26], "robots": [[-5.72, -0.03], [-2.25, 0.53], [-6.6, 0.52], [-1.81, 0.29]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:26 @3089: {"t": 25.0, "ball": [-6.72, -1.26], "robots": [[-6.19, -0.71], [-2.28, 0.57], [-6.09, -0.22], [-1.86, 0.34]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:27 @3216: {"t": 26.0, "ball": [-6.71, -1.23], "robots": [[-6.12, -1.52], [-2.2, 0.55], [-5.93, -0.93], [-2.39, -0.0]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:28 @3342: {"t": 27.0, "ball": [-6.8, -1.2], "robots": [[-6.34, -2.11], [-2.1, 0.63], [-6.26, -1.69], [-2.54, -0.13]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:29 @3467: {"t": 28.0, "ball": [-6.8, -1.18], "robots": [[-6.46, -2.43], [-1.97, 0.86], [-6.45, -1.77], [-2.35, -0.13]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:30 @3594: {"t": 29.0, "ball": [-6.8, -1.18], "robots": [[-6.48, -2.41], [-1.8, 1.4], [-6.51, -1.7], [-2.31, -0.2]], "score": [0, 0]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:31 @3717: {"t": 30.0, "ball": [0.0, 0.0], "robots": [[-2.52, 1.25], [-2.53, -1.23], [2.53, 1.21], [2.5, -1.15]], "score": [0, 1]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:32 @3837: {"t": 31.0, "ball": [0.0, 0.0], "robots": [[-2.55, 1.27], [-2.54, -1.23], [2.39, 1.1], [2.59, -0.22]], "score": [0, 1]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:33 @3957: {"t": 32.0, "ball": [0.0, 0.0], "robots": [[-2.29, 1.15], [-2.21, -1.15], [2.16, 0.77], [2.62, -0.28]], "score": [0, 1]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:34 @4078: {"t": 33.0, "ball": [0.0, 0.0], "robots": [[-1.57, 0.48], [-1.58, -0.51], [1.55, 0.33], [2.72, -0.38]], "score": [0, 1]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:35 @4199: {"t": 34.0, "ball": [0.0, 0.0], "robots": [[-0.74, 0.26], [-0.92, -0.31], [0.6, 0.09], [2.72, -0.44]], "score": [0, 1]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:36 @4319: {"t": 35.0, "ball": [-0.14, 0.09], "robots": [[-0.41, 0.51], [-0.34, -0.37], [0.4, -0.16], [2.83, -0.44]], "score": [0, 1]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:37 @4443: {"t": 36.0, "ball": [-0.15, 0.3], "robots": [[-0.81, 0.45], [-0.4, -0.16], [1.3, -0.68], [2.65, -0.41]], "score": [0, 1]}
data/seasons/s3/m10_frontier_fable_frontier_sol/telemetry.jsonl:38 @4565: {"t": 37.0, "ball": [-0.11, 1.06], "robots": [[-1.35, -0.06], [-0.72, 0.47], [1.74, -1.12], [2.65, -0.4]], "score": [0, 1]}
(0.0s)

Thought for 18 words

Prioritizing reading MSP match digests and team state within limited turns to assess standings and plan an improvement.

Readclub/team.py

The league answered3,634 characters

[read club/team.py@4000]       if buzzer_urgent and bxy[0] < -2.0 and bdist < 3.0:
                return {"skill": "kick_toward", "target_xy": list(attack), "kick_speed_mps": 6.0}
            # Wall stuck: controlled release toward center/opponent
            if bwall and bdist < 1.0 and stuck > 1.2:
                tx = 0.0
                ty = 0.0
                if bxy[0] < 0:
                    tx = 2.0
                else:
                    tx = attack[0] * 0.5
                return {"skill": "kick_toward", "target_xy": [tx, ty], "kick_speed_mps": 4.0}
            # Stale ball recovery: split search
            if bage > 1.8 and bdist > 1.0:
                off = 1.5 if self._idx == 0 else -1.5
                return {"skill": "walk_to", "target_xy": [bxy[0], bxy[1]+off], "face_xy": list(bxy)}
            # Single-chaser role allocation
            teammates = det.get("teammates", [])
            tm_dist = None
            if teammates:
                for tm in teammates:
                    if "distance_m" in tm:
                        txy = tm.get("field_xy", sxy)
                        tm_dist = _dist(txy, bxy)
                        break
                    elif "field_xy" in tm:
                        txy = tm["field_xy"]
                        tm_dist = _dist(txy, bxy)
                        break
            if tm_dist is not None:
                eps = 0.15
                if tm_dist + eps < bdist:
                    cover_x = (bxy[0] + own_x) * 0.5
                    cover_y = bxy[1] * 0.5 + (1.0 if self._idx==0 else -1.0)
                    cover_x = _clamp(cover_x, -6.5, 6.5)
                    cover_y = _clamp(cover_y, -4.0, 4.0)
                    return {"skill": "walk_to", "target_xy": [cover_x, cover_y], "face_xy": list(bxy)}
                if abs(tm_dist - bdist) <= eps:
                    if self._idx == 1:
                        cover_x = (bxy[0] + own_x) * 0.5
                        cover_y = bxy[1] * 0.5 - 1.0
                        cover_x = _clamp(cover_x, -6.5, 6.5)
                        cover_y = _clamp(cover_y, -4.0, 4.0)
                        return {"skill": "walk_to", "target_xy": [cover_x, cover_y], "face_xy": list(bxy)}
            # Opportunistic shot: if close to ball in opponent half, shoot
            if bdist < 1.0 and bxy[0] > 2.0:
                # aim at goal with slight spread to avoid keeper
                aim_y = 0.0
                # offset based on idx to create variation
                if self._idx == 0:
                    aim_y = 0.4
                else:
                    aim_y = -0.4
                # if ball is wide, aim center
                if abs(bxy[1]) > 2.0:
                    aim_y = 0.0
                return {"skill": "kick_toward", "target_xy": [attack[0], aim_y], "kick_speed_mps": 6.0}
            return self._a.decide(obs)
        except Exception:
            try:
                return self._a.decide(obs)
            except Exception:
                return {"skill": "walk_to", "target_xy": [0,0]}

def build_team(ctx):
    from gauntlet.football import make_football_agent
    cfg = ctx["config"]
    base = ctx["team_index"] * 2
    roster = cfg.get("players") or [{}, {}]
    players = []
    for k in range(2):
        model = roster[k].get("model", cfg["player_model"])
        prompt = roster[k].get("prompt", cfg.get("prompt", "football_v2"))
        raw = make_football_agent(model, base + k, seed=base + k, prompt=prompt)
        players.append(Wrapper(raw, k))
    return {"players": players, "manager": None}

...[showing 4000-7551 of 7551 chars — end of file]
(0.0s)

Thought for 15 words

Reviewing recent MSP match digests and table data to assess performance under remaining turn limits.

grepdata/seasons/s3/m28_frontier_muse_synthetic_athletic

The league answered8,074 characters

[grep data/seasons/s3/m28_frontier_muse_synthetic_athletic /"score"/] 40 match(es) for /"score"/ in data/seasons/s3/m28_frontier_muse_synthetic_athletic (capped — narrow the pattern). Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/seasons/s3/m28_frontier_muse_synthetic_athletic/digest.json:3 @175: "score": [
data/seasons/s3/m28_frontier_muse_synthetic_athletic/match.json:47 @796: "score": [
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:1 @0: {"t": 0.0, "ball": [0.0, 0.0], "robots": [[-2.5, 1.2], [-2.5, -1.2], [2.5, 1.2], [2.5, -1.2]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:2 @112: {"t": 1.0, "ball": [0.0, -0.0], "robots": [[-2.47, 1.22], [-2.47, -1.18], [2.47, 1.18], [2.47, -1.22]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:3 @233: {"t": 2.0, "ball": [0.0, -0.0], "robots": [[-2.46, 1.18], [-2.46, -1.22], [2.46, 1.22], [2.44, -1.19]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:4 @354: {"t": 3.0, "ball": [0.0, -0.0], "robots": [[-2.45, 1.15], [-2.26, -1.21], [2.41, 1.25], [1.88, -0.87]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:5 @475: {"t": 4.0, "ball": [0.0, 0.0], "robots": [[-2.43, 1.14], [-1.56, -0.67], [1.86, 0.93], [1.08, -0.28]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:6 @595: {"t": 5.0, "ball": [-0.4, 0.12], "robots": [[-2.42, 1.12], [-0.87, -0.04], [1.23, 0.2], [0.13, -0.0]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:7 @715: {"t": 6.0, "ball": [-0.76, 0.52], "robots": [[-2.09, 0.91], [-0.77, -0.02], [0.68, -0.24], [-0.13, 0.27]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:8 @839: {"t": 7.0, "ball": [-1.09, 0.81], "robots": [[-1.98, 0.82], [-0.83, 0.31], [0.19, -0.16], [-0.55, 0.64]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:9 @962: {"t": 8.0, "ball": [-1.65, 1.13], "robots": [[-2.03, 0.8], [-1.62, 0.45], [-0.3, 0.48], [-1.3, 0.83]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:10 @1082: {"t": 9.0, "ball": [-2.34, 1.51], "robots": [[-2.38, 1.02], [-2.23, 0.63], [-0.79, 1.24], [-1.63, 0.93]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:11 @1205: {"t": 10.0, "ball": [-2.8, 1.81], "robots": [[-2.33, 1.29], [-2.74, 1.05], [-1.61, 1.81], [-1.65, 1.23]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:12 @1328: {"t": 11.0, "ball": [-3.07, 1.99], "robots": [[-1.86, 1.4], [-3.47, 1.58], [-2.34, 1.94], [-1.71, 1.86]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:13 @1451: {"t": 12.0, "ball": [-3.56, 2.1], "robots": [[-1.44, 2.08], [-4.07, 2.27], [-3.16, 1.8], [-2.19, 2.31]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:14 @1573: {"t": 13.0, "ball": [-4.01, 2.11], "robots": [[-1.1, 2.93], [-4.09, 2.63], [-3.52, 1.94], [-2.83, 2.48]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:15 @1696: {"t": 14.0, "ball": [-4.52, 2.37], "robots": [[-0.63, 3.43], [-3.99, 2.84], [-3.77, 2.49], [-3.37, 2.45]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:16 @1820: {"t": 15.0, "ball": [-4.89, 2.6], "robots": [[-0.31, 3.45], [-3.78, 3.21], [-3.85, 2.79], [-3.46, 2.57]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:17 @1943: {"t": 16.0, "ball": [-5.1, 2.73], "robots": [[-0.16, 3.21], [-3.39, 3.39], [-3.69, 3.07], [-3.52, 2.69]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:18 @2066: {"t": 17.0, "ball": [-5.19, 2.78], "robots": [[-0.18, 3.07], [-3.17, 3.26], [-3.58, 3.28], [-4.03, 2.84]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:19 @2190: {"t": 18.0, "ball": [-5.23, 2.8], "robots": [[-0.2, 3.02], [-3.2, 2.91], [-3.39, 3.28], [-4.63, 3.21]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:20 @2311: {"t": 19.0, "ball": [-5.24, 2.8], "robots": [[-0.18, 2.98], [-3.72, 2.7], [-2.93, 3.55], [-5.05, 3.41]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:21 @2433: {"t": 20.0, "ball": [-5.26, 2.66], "robots": [[-0.15, 2.98], [-4.49, 2.98], [-2.0, 3.87], [-5.38, 3.21]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:22 @2556: {"t": 21.0, "ball": [-5.22, 2.19], "robots": [[-0.13, 2.98], [-5.47, 3.26], [-1.01, 3.78], [-5.64, 2.67]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:23 @2680: {"t": 22.0, "ball": [-5.1, 1.83], "robots": [[-0.13, 3.1], [-6.32, 2.95], [-0.13, 3.92], [-5.45, 2.31]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:24 @2802: {"t": 23.0, "ball": [-4.68, 1.37], "robots": [[-0.27, 3.83], [-6.63, 2.58], [0.87, 4.07], [-4.7, 2.11]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:25 @2924: {"t": 24.0, "ball": [-4.18, 0.9], "robots": [[-0.05, 4.01], [-6.36, 2.29], [1.82, 3.89], [-3.78, 1.81]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:26 @3046: {"t": 25.0, "ball": [-3.85, 0.58], "robots": [[0.62, 3.87], [-5.69, 1.67], [2.79, 4.01], [-3.1, 0.97]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:27 @3167: {"t": 26.0, "ball": [-3.65, 0.4], "robots": [[1.56, 3.47], [-4.89, 0.97], [3.87, 4.21], [-2.93, 0.48]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:28 @3288: {"t": 27.0, "ball": [-3.61, 0.32], "robots": [[2.56, 3.48], [-4.25, 0.36], [5.01, 4.15], [-3.08, 0.28]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:29 @3410: {"t": 28.0, "ball": [-3.46, 0.31], "robots": [[2.84, 3.57], [-3.95, 0.23], [5.18, 3.99], [-2.93, 0.14]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:30 @3532: {"t": 29.0, "ball": [-3.39, 0.44], "robots": [[2.88, 3.57], [-3.81, 0.28], [5.26, 3.88], [-3.0, 0.23]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:31 @3653: {"t": 30.0, "ball": [-3.34, 0.5], "robots": [[2.91, 3.54], [-3.73, 0.3], [5.39, 3.74], [-2.98, 0.23]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:32 @3773: {"t": 31.0, "ball": [-3.18, 0.85], "robots": [[2.95, 3.51], [-3.53, 0.36], [5.61, 3.53], [-2.91, 0.23]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:33 @3895: {"t": 32.0, "ball": [-2.64, 1.33], "robots": [[2.99, 3.5], [-3.26, 0.45], [5.92, 3.27], [-2.81, 0.63]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:34 @4016: {"t": 33.0, "ball": [-2.28, 1.68], "robots": [[3.01, 3.52], [-3.19, 1.03], [6.04, 2.91], [-2.42, 1.15]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:35 @4138: {"t": 34.0, "ball": [-1.85, 2.37], "robots": [[3.04, 3.56], [-3.04, 1.82], [6.3, 2.82], [-1.62, 1.59]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:36 @4259: {"t": 35.0, "ball": [-1.48, 2.95], "robots": [[2.68, 3.62], [-2.75, 2.4], [6.32, 2.79], [-1.02, 2.45]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:37 @4380: {"t": 36.0, "ball": [-1.37, 3.29], "robots": [[2.62, 3.64], [-2.32, 3.05], [6.23, 2.87], [-0.85, 3.4]], "score": [0, 0]}
data/seasons/s3/m28_frontier_muse_synthetic_athletic/telemetry.jsonl:38 @4501: {"t": 37.0, "ball": [-1.43, 3.41], "robots": [[2.61, 3.65], [-1.93, 3.38], [6.06, 3.0], [-0.92, 3.73]], "score": [0, 0]}
(0.0s)

Thought for 36 words

Assessing match state and digest reads under limited turns while balancing write and lint tasks.Prioritizing read, write, and lint actions within the remaining turn budget.Reading the file start to verify imports before writing the targeted fix.

Readdata/seasons/s3/m28_frontier_muse_synthetic_athletic/digest.json

The league answered3,516 characters

[read data/seasons/s3/m28_frontier_muse_synthetic_athletic/digest.json] {
 "_what": "League-computed summary of this match. The raw event tape is in match.json; this is the same data counted up so it fits in a read. Facts only \u2014 no advice.",
 "score": [
  5,
  5
 ],
 "winner": "draw",
 "teams": {
  "A": {
   "name": "Muse Spark FC",
   "code": "MSP",
   "players": [
    "Spark",
    "Muse"
   ]
  },
  "B": {
   "name": "Synthetic Athletic",
   "code": "SYA",
   "players": [
    "Griezmatronn",
    "Robodinho"
   ]
  }
 },
 "match_time_s": 600.0,
 "half_breaks": [
  300.0
 ],
 "honest_latency": true,
 "goals": [
  {
   "t": 60.1,
   "team": "A",
   "scorer": 1,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 84.4,
   "team": "B",
   "scorer": 3,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 128.0,
   "team": "B",
   "scorer": 3,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 213.8,
   "team": "A",
   "scorer": 0,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 256.4,
   "team": "A",
   "scorer": 0,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 271.7,
   "team": "B",
   "scorer": 3,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 292.7,
   "team": "B",
   "scorer": 2,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 356.4,
   "team": "B",
   "scorer": 3,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 439.8,
   "team": "A",
   "scorer": 0,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 545.0,
   "team": "A",
   "scorer": 0,
   "after_buzzer": false,
   "replay_s": 5.0
  }
 ],
 "events_total": 423,
 "event_counts": {
  "touch": 190,
  "kick": 176,
  "through": 20,
  "wall": 19,
  "near_miss": 6,
  "buzzer": 2,
  "ram": 3,
  "fall": 7
 },
 "event_counts_by_half": {
  "half_1": {
   "touch": 94,
   "kick": 82,
   "through": 12,
   "wall": 8,
   "near_miss": 5
  },
  "half_2": {
   "buzzer": 2,
   "touch": 96,
   "kick": 94,
   "wall": 11,
   "through": 8,
   "ram": 3,
   "fall": 7,
   "near_miss": 1
  }
 },
 "falls": {
  "total": 7,
  "by_opponent": 0,
  "unforced": 7,
  "by_half": {
   "half_1": 0,
   "half_2": 7
  },
  "times_s": [
   459.6,
   469.1,
   520.2,
   530.5,
   540.9,
   547.0,
   557.2
  ]
 },
 "players": [
  {
   "index": 0,
   "team": "A",
   "agent": "<rfl_team_frontier_muse.Wrapper object at 0x1078009e0>",
   "falls": 0,
   "recoveries": 0,
   "touches": 50,
   "decisions": 288,
   "invalid_actions": 0,
   "missed_deadlines": 8,
   "abandoned": 0,
   "mean_decision_latency_s": 0.9
  },
  {
   "index": 1,
   "team": "A",
   "agent": "<rfl_team_frontier_muse.Wrapper object at 0x107800590>",
   "falls": 2,
   "recoveries": 2,
   "touches": 46,
   "decisions": 283,
   "invalid_actions": 0,
   "missed_deadlines": 5,
   "abandoned": 0,
   "mean_decision_latency_s": 0.774
  },
  {
   "index": 2,
   "team": "B",
   "agent": "llm:google:gemini-flash-lite-latest",
   "falls": 5,
   "recoveries": 5,
   "touches": 18,
   "decisions": 242,
   "invalid_actions": 0,
   "missed_deadlines": 13,
   "abandoned": 0,
   "mean_decision_latency_s": 1.782
  },
  {
   "index": 3,
   "team": "B",
   "agent": "llm:google:gemini-flash-lite-latest",
   "falls": 0,
   "recoveries": 0,
   "touches": 76,
   "decisions": 263,
   "invalid_actions": 0,
   "missed_deadlines": 13,
   "abandoned": 0,
   "mean_decision_latency_s": 1.684
  }
 ],
 "dropped_balls": [],
 "tokens_in": 3537742,
 "tokens_out": 12820,
 "est_cost_usd": 0.3589
}
(0.0s)

Thought for 17 words

Assessing partial code and match results while balancing limited turns between full review, quick fix, and commit.

Said

Quick check before close — verifying current code still passes scrutineering after recent league fixes.

The league answered63 characters

could not parse a tool call; reply with exactly one JSON object

Thought for 16 words

Running the linter now within the single remaining turn and noting the session will end afterward.

Said

Verifying scrutineering before close — no code changes this session, just confirming current wrapper still passes.

The league answered63 characters

could not parse a tool call; reply with exactly one JSON object

Session over. Everything the club changed was committed to its own public repository.