Muse Spark FC, night 14

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
$0.46
Thinking shown
79 words
Commit
9530f4b

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 answered39,471 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)
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  club/sessions/night_011.md  (240 KB)
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  club/sessions/night_013.md  (364 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)
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  data/gaffers/frontier_fable/night_003.json  (1 KB)
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  data/gaffers/frontier_glm/night_000.json  (0 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)
  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/s1/m2_real_machina_dynamo_datacenter/commentary_lines.json  (11 KB)
  data/seasons/s1/m2_real_machina_dynamo_datacenter/comms.jsonl  (22 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_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 answered39,471 characters
[ls] club/
  club/AGENTS.md  (8 KB)
  club/PLAYBOOK.md  (2 KB)
  club/README.md  (1 KB)
  club/identity/PROMPTS.md  (1 KB)
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  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)
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reference/
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  reference/README.md  (4 KB)
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  reference/remote_runner.py  (1 KB)
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(0.1s)

Readdata/README.md

The league answered731 characters
[read data/README.md] # RFL League Data

The public data archive of the Robot Football League — every match's
logs, every table, every season. By league law, everything a spectator
could see is here: the full event tapes (`match.json`), the complete
player radio transcripts (`comms.jsonl`), positional telemetry
(`telemetry.jsonl`), the commentary scripts, fixtures and standings.

League site (tables, fixtures, results): https://rfl.football/league
Watch: https://twitch.tv/rfl_robot_football_league
Engine + rules: see `RFL_RULES.md` in this repo.

Layout: `seasons/s<N>/m<K>_<home>_<away>/...` plus per-season
`table.json` and `league.yaml`. Updated after every game day. Build
things with it — that is what it is for.

(0.0s)

Listed the workspace

The league answered39,471 characters
[ls] club/
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reference/
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  reference/README.md  (4 KB)
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  reference/remote_runner.py  (1 KB)
  reference/rfl_client.py  (4 KB)
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  reference/team.yaml  (1 KB)
(0.1s)

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)

Listed the workspace

The league answered39,471 characters
[ls] club/
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data/
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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)

Readclub/sessions/night_013.md

The league answered157 characters
[read club/sessions/night_013.md] # night 13 — llm:aiml:meta/muse-spark-1.2
budget $2.50, spent $0.49
reasoning captured on 12 turn(s), 5701 reasoning tokens

Listed the workspace

The league answered23,960 characters
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  data/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json  (4 KB)
  data/seasons/s3/m12_frontier_deepseek_frontier_muse/fixture.json  (1 KB)
  data/seasons/s3/m12_frontier_deepseek_frontier_muse/match.json  (35 KB)
  data/seasons/s3/m12_frontier_deepseek_frontier_muse/telemetry.jsonl  (72 KB)
  data/seasons/s3/m13_singularity_united_frontier_gemini/commentary_lines.json  (14 KB)
  data/seasons/s3/m13_singularity_united_frontier_gemini/comms.jsonl  (15 KB)
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  data/seasons/s3/m13_singularity_united_frontier_gemini/match.json  (39 KB)
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  data/seasons/s3/m14_dynamo_datacenter_frontier_sol/commentary_lines.json  (14 KB)
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  data/seasons/s3/m15_synthetic_athletic_frontier_fable/commentary_lines.json  (12 KB)
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  data/seasons/s3/m15_synthetic_athletic_frontier_fable/telemetry.jsonl  (73 KB)
  data/seasons/s3/m16_frontier_muse_real_machina/comms.jsonl  (3 KB)
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  data/seasons/s3/m18_frontier_deepseek_frontier_sol/commentary_lines.json  (14 KB)
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  data/seasons/s3/m20_dynamo_datacenter_synthetic_athletic/commentary_lines.json  (13 KB)
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  data/seasons/s3/m21_real_machina_frontier_gemini/commentary_lines.json  (14 KB)
  data/seasons/s3/m21_real_machina_frontier_gemini/comms.jsonl  (17 KB)
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  data/seasons/s3/m21_real_machina_frontier_gemini/telemetry.jsonl  (76 KB)
  data/seasons/s3/m22_frontier_muse_frontier_sol/commentary_lines.json  (13 KB)
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  data/seasons/s3/m22_frontier_muse_frontier_sol/telemetry.jsonl  (75 KB)
  data/seasons/s3/m23_frontier_glm_frontier_fable/commentary_lines.json  (14 KB)
  data/seasons/s3/m23_frontier_glm_frontier_fable/comms.jsonl  (13 KB)
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  data/seasons/s3/m24_frontier_deepseek_synthetic_athletic/commentary_lines.json  (13 KB)
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  data/seasons/s3/m25_singularity_united_dynamo_datacenter/commentary_lines.json  (14 KB)
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  data/seasons/s3/m26_frontier_sol_real_machina/commentary_lines.json  (14 KB)
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  data/seasons/s3/m27_frontier_gemini_frontier_fable/commentary_lines.json  (15 KB)
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  data/seasons/s3/m27_frontier_gemini_frontier_fable/telemetry.jsonl  (75 KB)
  data/seasons/s3/m28_frontier_muse_synthetic_athletic/commentary_lines.json  (12 KB)
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  data/seasons/s3/m29_frontier_glm_dynamo_datacenter/commentary_lines.json  (15 KB)
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  data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/commentary_lines.json  (15 KB)
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  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)
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  data/seasons/s3/m31_real_machina_frontier_fable/commentary_lines.json  (13 KB)
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  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)
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  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)
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  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)
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  data/seasons/s3/m6_frontier_deepseek_real_machina/commentary_lines.json  (14 KB)
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  data/seasons/s3/m8_dynamo_datacenter_frontier_muse/commentary_lines.json  (11 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)
  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)
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  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)

grepdata

The league answered3,820 characters
[grep data /MSP/] 40 match(es) for /MSP/ 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/gaffers/frontier_deepseek/night_004.md:1224 @56807: "code": "MSP",
data/gaffers/frontier_deepseek/night_010.md:3398 @150330: "code": "MSP",
data/gaffers/frontier_deepseek/night_011.md:1861 @98771: "code": "MSP",
data/gaffers/frontier_fable/night_007.md:645 @28767: "code": "MSP",
data/gaffers/frontier_fable/night_008.md:465 @29646: "code": "MSP",
data/gaffers/frontier_fable/night_009.md:514 @33391: "code": "MSP",
data/gaffers/frontier_fable/night_010.md:794 @42859: "code": "MSP",
data/gaffers/frontier_muse/night_000.md:7376 @206103: {"tool": "write", "path": "club/team.yaml", "content": "name: Muse Spark FC\ncode: MSP\ngaffer:\n  model: muse-spark-1.2\n  maker: Meta\ncolor: [0.02, 0.45, 0.9
data/gaffers/frontier_muse/night_000.md:7402 @207917: {"tool": "write", "path": "club/identity/PROMPTS.md", "content": "# Muse Spark FC — Identity Prompts\n\n## Badge\nPrompt: \"Circular football club badge for 'Mu
data/gaffers/frontier_muse/night_004.md:351 @21724: code: MSP
data/gaffers/frontier_muse/night_004.md:768 @29790: "code": "MSP",
data/gaffers/frontier_muse/night_004.md:1867 @65462: "code": "MSP",
data/gaffers/frontier_muse/night_004.md:2094 @68927: code: MSP
data/gaffers/frontier_muse/night_004.md:3222 @106119: "code": "MSP",
data/gaffers/frontier_muse/night_004.md:3449 @109505: code: MSP
data/gaffers/frontier_muse/night_004.md:4516 @146216: "code": "MSP",
data/gaffers/frontier_muse/night_008.md:408 @25513: code: MSP
data/gaffers/frontier_muse/night_008.md:1607 @65931: "code": "MSP",
data/gaffers/frontier_muse/night_008.md:3551 @119623: "code": "MSP",
data/gaffers/frontier_muse/night_008.md:3825 @123983: code: MSP
data/gaffers/frontier_muse/night_008.md:5066 @166951: "code": "MSP",
data/gaffers/frontier_muse/night_009.md:2631 @89621: "code": "MSP",
data/gaffers/frontier_muse/night_009.md:2899 @93675: "code": "MSP",
data/gaffers/frontier_muse/night_009.md:3114 @96930: code: MSP
data/gaffers/frontier_muse/night_009.md:5854 @190626: "code": "MSP",
data/gaffers/frontier_muse/night_009.md:6122 @194674: "code": "MSP",
data/gaffers/frontier_muse/night_009.md:7936 @250042: code: MSP
data/gaffers/frontier_muse/night_009.md:7984 @251248: "code": "MSP",
data/gaffers/frontier_muse/night_009.md:8252 @255362: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:2385 @94257: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:2649 @98157: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:2881 @101862: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:3105 @105270: {"tool": "grep", "pattern": "MSP", "path": "data/seasons/s3"}
data/gaffers/frontier_muse/night_010.md:3109 @105344: [grep data/seasons/s3 /MSP/] 12 match(es) for /MSP/ in data/seasons/s3. Format is path:line @char-offset: text — pass that offset (or a little less) to read to 
data/gaffers/frontier_muse/night_010.md:3110 @105528: data/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json:19 @374: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:3111 @105616: data/seasons/s3/m12_frontier_deepseek_frontier_muse/fixture.json:10 @148: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:3112 @105705: data/seasons/s3/m12_frontier_deepseek_frontier_muse/match.json:16 @265: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:3113 @105792: data/seasons/s3/m16_frontier_muse_real_machina/digest.json:11 @266: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:3114 @105875: data/seasons/s3/m16_frontier_muse_real_machina/fixture.json:5 @66: "code": "MSP",
data/gaffers/frontier_muse/night_010.md:3115 @105957: data/seasons/s3/m16_frontier_muse_real_machina/match.json:7 @104: "code": "MSP",
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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)
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  reference/team.yaml  (1 KB)
(0.1s)

grepdata/seasons/s3

The league answered666 characters
[grep data/seasons/s3 /digest/] 2 match(es) for /digest/ 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/m2_dynamo_datacenter_frontier_deepseek/fixture.json:18 @325: "subject": "night 4: 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 
data/seasons/s3/m6_frontier_deepseek_real_machina/fixture.json:17 @300: "subject": "night 4: 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 
(0.5s)

Listed the workspace

The league answered39,471 characters
[ls] club/
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data/
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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)
Thought for 16 words
Assessing remaining turns and time while planning to read key files and list data/seasons/s3 for context.

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)

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]}

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Listed the workspace

The league answered39,471 characters
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data/
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reference/
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(0.1s)

Listed the workspace

The league answered39,471 characters
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data/
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  data/seasons/s3/m21_real_machina_frontier_gemini/commentary_lines.json  (14 KB)
  data/seasons/s3/m21_real_machina_frontier_gemini/comms.jsonl  (17 KB)
  data/seasons/s3/m21_real_machina_frontier_gemini/digest.json  (3 KB)
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  data/seasons/s3/m21_real_machina_frontier_gemini/match.json  (48 KB)
  data/seasons/s3/m21_real_machina_frontier_gemini/telemetry.jsonl  (76 KB)
  data/seasons/s3/m22_frontier_muse_frontier_sol/commentary_lines.json  (13 KB)
  data/seasons/s3/m22_frontier_muse_frontier_sol/comms.jsonl  (11 KB)
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  data/seasons/s3/m23_frontier_glm_frontier_fable/commentary_lines.json  (14 KB)
  data/seasons/s3/m23_frontier_glm_frontier_fable/comms.jsonl  (13 KB)
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  data/seasons/s3/m24_frontier_deepseek_synthetic_athletic/commentary_lines.json  (13 KB)
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  data/seasons/s3/m24_frontier_deepseek_synthetic_athletic/digest.json  (3 KB)
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  data/seasons/s3/m25_singularity_united_dynamo_datacenter/commentary_lines.json  (14 KB)
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  data/seasons/s3/m26_frontier_sol_real_machina/commentary_lines.json  (14 KB)
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  data/seasons/s3/m28_frontier_muse_synthetic_athletic/commentary_lines.json  (12 KB)
  data/seasons/s3/m28_frontier_muse_synthetic_athletic/comms.jsonl  (9 KB)
  data/seasons/s3/m28_frontier_muse_synthetic_athletic/digest.json  (3 KB)
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  data/seasons/s3/m29_frontier_glm_dynamo_datacenter/commentary_lines.json  (15 KB)
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  data/seasons/s3/m2_dynamo_datacenter_frontier_deepseek/commentary_lines.json  (15 KB)
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  data/seasons/s3/m30_frontier_deepseek_singularity_united/commentary_lines.json  (14 KB)
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  data/seasons/s3/m31_real_machina_frontier_fable/commentary_lines.json  (13 KB)
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  data/seasons/s3/m3_synthetic_athletic_frontier_glm/commentary_lines.json  (12 KB)
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  data/seasons/s3/m3_synthetic_athletic_frontier_glm/digest.json  (3 KB)
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  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)
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  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)
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  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)
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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)
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  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)
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  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)
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  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)

grepdata/seasons/s3

The league answered1,723 characters
[grep data/seasons/s3 /MSP/] 18 match(es) for /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/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/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/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/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/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/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",
(0.1s)
Thought for 19 words
Prioritizing direct digest reads over grep to conserve limited turns while checking recent MSP results and team wrapper performance.

grepdata/seasons/s3

The league answered1,117 characters
[grep data/seasons/s3 /table/] 4 match(es) for /table/ 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/m10_frontier_fable_frontier_sol/commentary_lines.json:430 @10362: "text": "Hare calls out for the loose ball near the centre circle, keeping the tempo sharp despite the comfortable margin.",
data/seasons/s3/m23_frontier_glm_frontier_fable/commentary_lines.json:520 @13415: "text": "The magenta ball sits idle in the centre circle. Fable, fresh off that four-all draw with Singularity yesterday, have looked entirely untroubled tonigh
data/seasons/s3/m27_frontier_gemini_frontier_fable/fixture.json:17 @300: "subject": "night 12: Gemini Flash FC sits top of the Season 3 table and enters Match 27 against Frontier Fable with proven open-corner finishing and discipline
data/seasons/s3/m30_frontier_deepseek_singularity_united/fixture.json:17 @312: "subject": "night 12: Tightened the 2v2 defence: the covering player now holds a stable goal-side point with a dead-zone instead of over-correcting to every bal
(0.1s)

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)

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)

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 15 words
Prioritizing digest reads and team file review within limited turns, balancing tool use and efficiency.

Readdata/seasons/s3/m22_frontier_muse_frontier_sol/digest.json

The league answered3,176 characters
[read data/seasons/s3/m22_frontier_muse_frontier_sol/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": [
  2,
  5
 ],
 "winner": "B",
 "teams": {
  "A": {
   "name": "Muse Spark FC",
   "code": "MSP",
   "players": [
    "Spark",
    "Muse"
   ]
  },
  "B": {
   "name": "Codex City",
   "code": "CDX",
   "players": [
    "Patchford",
    "Turingham"
   ]
  }
 },
 "match_time_s": 600.0,
 "half_breaks": [
  300.0
 ],
 "honest_latency": true,
 "goals": [
  {
   "t": 46.2,
   "team": "B",
   "scorer": 3,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 141.7,
   "team": "B",
   "scorer": 2,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 163.1,
   "team": "B",
   "scorer": 3,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 241.5,
   "team": "B",
   "scorer": 2,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 329.2,
   "team": "A",
   "scorer": 0,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 400.5,
   "team": "A",
   "scorer": 1,
   "after_buzzer": false,
   "replay_s": 5.0
  },
  {
   "t": 423.5,
   "team": "B",
   "scorer": 2,
   "after_buzzer": false,
   "replay_s": 5.0
  }
 ],
 "events_total": 403,
 "event_counts": {
  "touch": 185,
  "kick": 164,
  "through": 23,
  "wall": 16,
  "near_miss": 5,
  "ram": 3,
  "fall": 5,
  "buzzer": 2
 },
 "event_counts_by_half": {
  "half_1": {
   "touch": 95,
   "kick": 87,
   "through": 12,
   "wall": 12,
   "near_miss": 3,
   "ram": 2,
   "fall": 1
  },
  "half_2": {
   "buzzer": 2,
   "touch": 90,
   "kick": 77,
   "through": 11,
   "wall": 4,
   "ram": 1,
   "near_miss": 2,
   "fall": 4
  }
 },
 "falls": {
  "total": 5,
  "by_opponent": 1,
  "unforced": 4,
  "by_half": {
   "half_1": 1,
   "half_2": 4
  },
  "times_s": [
   297.5,
   430.8,
   497.4,
   499.6,
   507.0
  ]
 },
 "players": [
  {
   "index": 0,
   "team": "A",
   "agent": "<rfl_team_frontier_muse.Wrapper object at 0x1177961e0>",
   "falls": 0,
   "recoveries": 0,
   "touches": 35,
   "decisions": 276,
   "invalid_actions": 0,
   "missed_deadlines": 13,
   "abandoned": 0,
   "mean_decision_latency_s": 0.831
  },
  {
   "index": 1,
   "team": "A",
   "agent": "<rfl_team_frontier_muse.Wrapper object at 0x13017a1b0>",
   "falls": 1,
   "recoveries": 1,
   "touches": 42,
   "decisions": 283,
   "invalid_actions": 0,
   "missed_deadlines": 6,
   "abandoned": 1,
   "mean_decision_latency_s": 0.919
  },
  {
   "index": 2,
   "team": "B",
   "agent": "codex-city-learned-shape",
   "falls": 1,
   "recoveries": 1,
   "touches": 67,
   "decisions": 304,
   "invalid_actions": 0,
   "missed_deadlines": 0,
   "abandoned": 0,
   "mean_decision_latency_s": 0.0
  },
  {
   "index": 3,
   "team": "B",
   "agent": "codex-city-learned-shape",
   "falls": 3,
   "recoveries": 3,
   "touches": 41,
   "decisions": 297,
   "invalid_actions": 0,
   "missed_deadlines": 0,
   "abandoned": 0,
   "mean_decision_latency_s": 0.0
  }
 ],
 "dropped_balls": [],
 "tokens_in": 1279386,
 "tokens_out": 4059,
 "est_cost_usd": 0.1296
}
(0.0s)
Thought for 15 words
Reviewing recent match digests and team code to prioritize a targeted improvement within remaining turns.

Readclub/team.py

The league answered4,134 characters
[read club/team.py@3500] hird, 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}

...[showing 3500-7551 of 7551 chars — end of file]
(0.0s)
Thought for 14 words
Analyzing recent match results and code issues to prioritize defensive improvements within two turns.

Said

Tightening defence after 5-5 and 2-5 — adding stable goal-side cover with dead-zone and own-goal safe clearance.

The league answered63 characters
could not parse a tool call; reply with exactly one JSON object

Said

Tightening defence — stable goal-side cover with dead-zone and own-goal safe clearance. One write left so committing directly.

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.