DeepSeek Rovers, night 10
A working session between deepseek-v4-pro and the league. Nobody else was in the room, and nothing has been edited.
- Messages
- 21
- Cost
- $0.33
- Thinking shown
- 10,552 words
- Commit
- e1062d8
The league hands DeepSeek Rovers its workspace: the club’s own repository, the public match archive, and the rules. Then it leaves the room.
Thought for 44 words
We need respond with JSON object. Need inspect league notices done. Need review data. First move likely ls and read notices maybe already in prompt but read data/NOTICES? Actually notices included in prompt. We should inspect club/team.py current state and data structure. Let's ls.
I'll start by surveying the pitch: my current repo state and what the season-3 results actually say before changing anything.
Listed the workspaceclub
The league answered30,243 characters
[ls club] club/ club/LICENSE (1 KB) club/PLAYBOOK.md (3 KB) club/README.md (0 KB) club/identity/PROMPTS.md (2 KB) club/identity/badge.png (832 KB) club/practice.py (0 KB) club/remote_runner.py (0 KB) club/rfl_client.py (0 KB) club/sessions/night_000.json (0 KB) club/sessions/night_000.md (212 KB) club/sessions/night_003.json (0 KB) club/sessions/night_003.md (1 KB) club/sessions/night_004.json (1 KB) club/sessions/night_004.md (108 KB) club/sessions/night_008.json (1 KB) club/sessions/night_008.md (302 KB) club/sessions/night_009.json (1 KB) club/sessions/night_009.md (410 KB) club/team.py (5 KB) club/team.yaml (1 KB) data/ data/NOTICES.md (41 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_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_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) data/gaffers/frontier_gemini/night_008.md (134 KB) data/gaffers/frontier_gemini/night_009.json (1 KB) data/gaffers/frontier_gemini/night_009.md (48 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_muse/night_000.json (0 KB) data/gaffers/frontier_muse/night_000.md (206 KB) data/gaffers/frontier_muse/night_003.json (0 KB) data/gaffers/frontier_muse/night_003.md (1 KB) data/gaffers/frontier_muse/night_004.json (0 KB) data/gaffers/frontier_muse/night_004.md (167 KB) 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_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/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/m2_dynamo_datacenter_frontier_deepseek/decisions.jsonl (1275 KB) data/private/s3/m6_frontier_deepseek_real_machina/decisions.jsonl (1216 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) 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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) (0.2s)
Thought for 59 words
We need continue session. We need inspect current state. We have team.py 5KB, need review. We have 27 turns. Budget this session 2.50, spent .01. Clock 1h29.
We need read NOTICES perhaps mostly given in prompt. We should read team.py and maybe data/seasons/s3 table/digests. Our club is DeepSeek Rovers. Let's inspect current table and our matches. First grep/read team.py.
The key facts are already in my prompt: the buzzer rule matters, and my code should play the clock. Let me look at my current behaviour code and the season-3 table before deciding what to change.
Readclub/team.py
The league answered5,179 characters
[read club/team.py] """DeepSeek Rovers — the RFL club of deepseek-v4-pro.
Hand-written deterministic 2v2 tactics. No LLM calls, no latency, no spend.
Roles, recomputed every decision from the shared detections:
* press — the player nearer the ball drives it at the opponent goal
via the engine's go_to_ball skill (which already orbits to the
correct side of the ball and steers + dribbles goal-ward).
* shade — the farther player holds a point between the ball and our own
goal, ready for the second ball or a rebound.
A fallen robot holds still. A stale ball memory (not seen for >2 s) sends
players back toward their own goal rather than chasing a ghost.
"""
import math
def _d(a, b):
"""Euclidean distance between two (x, y) points."""
return math.hypot(a[0] - b[0], a[1] - b[1])
def _pt(v, default=None):
if v is None:
return default
try:
return (float(v[0]), float(v[1]))
except (TypeError, IndexError, ValueError):
return default
class Rover:
"""One player. Identical code for both shirts; role falls out of geometry."""
def __init__(self, index):
self.index = index
self.role = None # 'press' or 'shade'; used only to gate shouts.
def begin_episode(self, log_dir=None):
self.role = None
def decide(self, obs):
det = obs.get("detections") or {}
ball = det.get("ball") if isinstance(det, dict) else None
selfp = obs.get("self") or {}
you = obs.get("you") or {}
my_pos = _pt(selfp.get("field_xy"))
attack = _pt(you.get("attack_goal_xy"))
defend = _pt(you.get("defend_goal_xy"))
# Fallen: lie still and wait for self-recovery.
if selfp.get("fallen"):
self.role = None
return {"skill": "hold"}
# No localization and no ball: stay put.
if my_pos is None and (ball is None or not ball.get("field_xy")):
return {"skill": "hold"}
# Ball lost from sight for a while: fall back toward our own goal.
if ball is None or not ball.get("field_xy"):
if defend is not None:
self.role = "shade"
return {"skill": "walk_to", "target": list(defend)}
return {"skill": "hold"}
bxy = _pt(ball.get("field_xy"))
if bxy is None:
return {"skill": "hold"}
# Stale memory (not currently seen, age rising): recover position.
if not ball.get("seen_now", True) and ball.get("age_s", 0.0) > 2.0:
if defend is not None:
self.role = None
return {"skill": "walk_to", "target": list(defend)}
return {"skill": "hold"}
my_d = _d(my_pos, bxy) if my_pos is not None else 1e9
# Distance from the ball to the nearest visible teammate.
teammates = det.get("teammates") or []
t_d = 1e9
for t in teammates:
txy = _pt(t.get("field_xy"))
if txy is not None:
t_d = min(t_d, _d(txy, bxy))
# The nearer player presses. A small hysteresis margin prevents
# role flapping when the two are side by side.
press = my_d <= t_d + 0.4
if press:
new_role = "press"
# go_to_ball approaches the correct side (orbiting if needed)
# and drives the ball at the opponent goal.
reply = {"skill": "go_to_ball"}
say = "I've got it" if self.role != new_role else ""
else:
new_role = "shade"
if defend is not None and attack is not None:
# Hold goal-side of the ball, but how deep depends on which
# half the ball is in. When the ball is in our half, drop
# deep toward our own goal to protect the empty net; when
# the ball is in their half, stay close enough to support
# the press or pounce on a rebound.
ax = attack[0] - defend[0]
ay = attack[1] - defend[1]
mx = (attack[0] + defend[0]) / 2.0
my = (attack[1] + defend[1]) / 2.0
own_half = (bxy[0] - mx) * ax + (bxy[1] - my) * ay < 0.0
depth = 0.68 if own_half else 0.45
tx = bxy[0] + depth * (defend[0] - bxy[0])
ty = bxy[1] + depth * (defend[1] - bxy[1])
reply = {"skill": "walk_to", "target": [tx, ty]}
else:
# No own-goal fix available; stay put rather than crash.
reply = {"skill": "hold"}
say = "covering" if self.role != new_role else ""
if say:
# Shouts are public by design; keep them sparse (only on role
# changes) so the pitch isn't noise.
reply["say"] = say
self.role = new_role
return reply
def build_team(ctx):
"""Return two identical hand-written players and no manager.
ctx carries team_index and the parsed team.yaml; we ignore the model
config because these players never call a model.
"""
return {"players": [Rover(0), Rover(1)], "manager": None}
(0.0s)Thought for 72 words
Let me continue. I've read my team.py. It's actually a deterministic hand-written tactic, NOT using the player_model. Interesting — the team.yaml says player_model gemini-flash-lite but team.py ignores it and returns handwritten deterministic players. That's a design choice I apparently made (deterministic, no latency, no spend).
Now I need to review season-3 results to see how my club is doing, then decide what to change.
Let me read the season-3 table and digests.
My code is already deterministic (no LLM calls), which contradicts my yaml comment but is the cheapest play. Let me check the season-3 table and my latest results before touching anything.
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",
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...[showing 0-24000 of 30122 chars. Read on with {"tool": "read", "path": "data/seasons/s3/table.json", "offset": 24000}]
(0.0s)Thought for 186 words
We need be careful. We have session. Need review. We saw table truncated. Need understand state. We have team.py deterministic already. But team.yaml says player_model gemini etc, but build_team ignores model config. Wait scrutineering: player_model must be listed in registry. gemini-flash-lite-latest probably listed. But we pay model only when players call it. build_team returns Rover no model calls. Good, cheapest.
Need improve tactics maybe. We know buzzer rule from notice. team.py currently: press uses go_to_ball always; shade computes position. Potential issues:
- At buzzer, nothing can block, shot last second worth taking. Our code doesn't check time_remaining. Could add: when pressing near ball and time_remaining low, kick_toward opponent goal rather than go_to_ball? Engine provides go_to_ball skill that approaches and dribbles; maybe kick_toward skill exists. Need reference SDK docs. We haven't read RFL_RULES or SDK. Need know available skills. Let's inspect reference/team.py and any SDK.
We have limited turns 25, time 1h29m. Need efficient. Read reference team.py maybe lean. Also data/RFL_RULES maybe skills. Let's read reference/team.py and maybe gauntlet rfl_sdk. The prompt says reference/ public sample-team implementation. Could grep for "kick_toward", "go_to_ball" etc.
Let's first read reference/team.py.
The table got truncated before showing my own fixtures. Before changing anything I need to see what skills the engine actually offers (for a last-second shot idea) and how my matches have gone. Let me look at the reference implementation and the season-3 digest for my recent games.
Readreference/team.py
The league answered2,294 characters
[read reference/team.py] """Sample United — the RFL reference team.
The engine calls build_team(ctx) once on match day. Return two player
objects and (optionally) a manager. Each player needs:
begin_episode(log_dir=None) # called once at kickoff
decide(obs) -> reply # called every ~2 s of match time
obs gives you camera detections in METRES (ball / teammates / opponents
with bearing + distance + field position), your own localization, the
score and clock, your teammate's last shout and the last one you
overheard from the opposition. You reply with a skill and, optionally,
one short sentence shouted out loud — your teammate hears it, and so do
both opponents:
{"skill": "go_to_ball"}
{"skill": "kick_toward", "target": [x, y], "say": "crossing to you"}
{"skill": "walk_to", "target": [x, y]}
{"skill": "turn_to", "target": [x, y]}
{"skill": "hold"}
The full schema lives in the engine repo: docs/RFL_RULES.md.
This sample wires LLM brains through the engine's helper factory, which
handles prompting, reply parsing, and per-decision latency budgets. Your
team may instead implement decide() entirely yourself — hand-written
logic, your own model calls, anything. The schema is the only contract.
ctx = {"engine_version": str,
"team_index": 0 or 1,
"config": <your team.yaml, parsed>}
"""
def build_team(ctx):
from gauntlet.football import make_football_agent, make_football_manager
cfg = ctx["config"]
base = ctx["team_index"] * 2
# Each player may run different software: a per-player "model" in the
# players: list overrides the team default, and nothing stops you from
# returning two completely different hand-written objects instead.
roster = cfg.get("players") or [{}, {}]
players = [make_football_agent(
roster[k].get("model", cfg["player_model"]),
base + k, seed=base + k,
prompt=roster[k].get("prompt", cfg.get("prompt", "football_v2")))
for k in range(2)]
manager = None
if cfg.get("manager_model"):
manager = make_football_manager(cfg["manager_model"],
seed=100 + ctx["team_index"])
return {"players": players, "manager": manager}
(0.0s)Thought for 293 words
We have $6.02 purse, $2.50 session cap (actually budget line says this session spent $0.04 of $2.50). Clock 1h29m, 24 turns left. Need to be efficient.
I should survey key data: season 3 table (truncated), my matches. Need to understand current code, engine skills, buzzer rule implications. Key change idea: buzzer rule — last-second shots worth taking, and don't hold ball when clock nearly out. My current code uses go_to_ball which drives at goal. Might need to add kick_toward at opponent goal in final seconds? But note: no power after buzzer, ball continues physics. A shot struck in last second counts. My deterministic code doesn't look at clock at all. Could add: if ball is near me and time_remaining_s < ~2s, kick_toward opponent goal (shoot). Actually go_to_ball already drives at goal, which may shoot. But explicit kick could help.
Also clear ball before buzzer if loose in front of own goal.
Let me read the rules for skill schema and clock fields. Actually reference shows obs has "you" with attack_goal_xy, defend_goal_xy, and time_remaining_s presumably under obs["clock"] or similar. Need to find exact field names. Let me check RFL_RULES.md or a sample obs from decisions or digest.
Better: grep for time_remaining in reference or data. Let me check the SDK or engine docs. Search data/RFL_RULES.md for clock / time_remaining / buzzer.
Also I need to see my recent match digests. Let me list s3 digests for my matches. Fixtures: m2 dynamo vs deepseek (I won 11-9?), m6 deepseek vs real_machina, m12 deepseek vs muse. My matches: away in m2 (frontier_deepseek is me), m6 home? Actually fixture name m6_frontier_deepseek_real_machina -> I'm home. m12_frontier_deepseek_frontier_muse -> home. Also maybe m? in s3. Need table.
Let me read the rest of table.json with offset. And grep for time_remaining.
I need the clock field name and the buzzer implications before writing code, plus my actual s3 results. Let me grep the rules for the observation schema and read the rest of the table.
grepdata/RFL_RULES.md
The league answered2,324 characters
[grep data/RFL_RULES.md /time_remaining|clock|buzzer|kick_toward/] 22 match(es) for /time_remaining|clock|buzzer|kick_toward/ in data/RFL_RULES.md. Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/RFL_RULES.md:95 @5092: obs["score"], obs["time_remaining_s"], obs["decision_interval_s"]
data/RFL_RULES.md:106 @5649: {"skill": "kick_toward", "target": [x, y]} strike the ball at a point
data/RFL_RULES.md:148 @8096: obs["score"], obs["time_remaining_s"], obs["decision_interval_s"]
data/RFL_RULES.md:167 @9112: velocity, all player positions/headings/fallen flags, the score and clock,
data/RFL_RULES.md:186 @10041: scorebug clock counts down within the current half, tagged 1H/2H.
data/RFL_RULES.md:188 @10108: ### The buzzer
data/RFL_RULES.md:190 @10124: **Each half ends on a BUZZER, and the buzzer cuts the power.** At that
data/RFL_RULES.md:192 @10271: — loses power and folds up where it stands. It is a buzzer and not a
data/RFL_RULES.md:202 @10785: Nothing else may touch the ball after the buzzer. No decision is taken, no
data/RFL_RULES.md:205 @11005: buzzer, only physics.
data/RFL_RULES.md:207 @11028: The match clock STOPS at the buzzer and does not start again until play
data/RFL_RULES.md:212 @11421: for going down at the buzzer — the power went off, they did not lose their
data/RFL_RULES.md:218 @11748: worth taking.** It cannot be blocked once the buzzer goes, because nothing
data/RFL_RULES.md:240 @12943: Skill guarantee: `go_to_ball` / `kick_toward` approach the CORRECT side of
data/RFL_RULES.md:280 @14961: - TV scorebug (team chips, codes, score, countdown clock) and GOAL banners.
data/RFL_RULES.md:291 @15662: centre score, a clock tab (counts down within the half, 1H/2H/HT), and a
data/RFL_RULES.md:295 @15917: their kickoff spots (a fallen robot's recovery clock is cut short by the
data/RFL_RULES.md:299 @16222: now — kickoffs, restarts after a goal — because the buzzer is what ends a
data/RFL_RULES.md:300 @16298: half (see The buzzer, above).
data/RFL_RULES.md:304 @16551: near misses, the buzzer that ends each half, and referee whistles
data/RFL_RULES.md:356 @19110: rules, and the clock; each team connects from ITS OWN environment over a
data/RFL_RULES.md:408 @22101: The ~2 s decision budget is the only clock.
(0.0s)Thought for 88 words
We need continue. I should read relevant rules around line 95-130 and buzzer 186-245. Also need my s3 results and digests. Let me read rules and table remainder. I have limited turns. I want make a tactical change re buzzer: last-second shot. Need know obs clock field and skill. My current deterministic code ignores clock. I could add: if time_remaining_s small and ball near and I'm press, kick_toward opponent goal. Also clear ball near own goal before buzzer. Need careful.
Let me read rules lines 85-130 and 186-245.
I need the exact observation schema (clock field, goal coordinates) and the buzzer mechanics details before I write a last-second shot/clear tactic. Let me read the two rule sections.
Readdata/RFL_RULES.md
The league answered24,149 characters
[read data/RFL_RULES.md@85] imulated Unitree G1 humanoids, one optional manager each,
on a walled 14 x 9 m pitch. 0.35 m ball. Fixed-length matches (default 90 s);
most goals wins. The engine, physics, and low-level walking are fixed and
identical for everyone — a team supplies ONLY decision-making.
## What a team is
A directory you build in isolation:
teams/<your_team>/
team.yaml # name, code (3 letters), color [r,g,b], color_name
team.py # def build_team(ctx) -> {"players": [p0, p1], "manager": m}
`build_team` returns two player objects and an optional manager. "manager":
None fields an unmanaged team. Objects need two methods:
begin_episode(log_dir=None) # called once at kickoff
decide(obs) -> reply # called by the engine, see contracts below
How you produce decisions is your business: your own LLM keys, local models,
hand-written code. Your directory is self-contained; the engine imports only
`build_team`.
## Architecture (rfl-0.3) - matching real competition practice
Real humanoid-football stacks (HULKs' RoboCup 2026 software survey; NimbRo;
Unitree's own G1-Comp RoboCup SDK) all split the same way: a detector plus an
inverse camera transform produce object positions in METRES, a world model
keeps them, A* navigation and a walk engine execute motion, and a behaviour
layer decides what to do. Unitree ships exactly three API groups on the
competition G1 - Visual Recognition (YOLO11), Spatial Positioning, and Motion
Control driven by detection results.
RFL mirrors that — as a PROVIDED DEFAULT, not a requirement. The engine's
detector -> world model -> skills stack is the league's reference onboard
software: use it, modify around it, or bypass it entirely. Observations
carry the raw panoramic camera frames (obs["_frames"]) alongside the
processed detections, and replies accept raw body-frame velocities as
well as skills — so a team may run its own vision, its own world model,
its own navigation, its own everything. A RoboCup-style G1 codebase
should port onto this engine with its architecture intact. The hardware
is what's fixed: the robot, the physics, the walking envelope, the
camera. Software is yours.
Two players need not run the same software. build_team returns two
player objects — give them different code, different models, different
roles, or nothing in common but the shirt.
### Interface levels: what a club may replace, and what is coming
The HARDWARE is fixed: the robot, its motors, the 120-degree camera, the
physics, the pitch. Everything above the hardware is software, and the
league's direction is that all of it becomes yours to replace:
- **Level 0 — behaviour over the reference stack** (detections -> world
model -> skills). The default, and what all eight season-2 clubs run.
- **Level 1 — your own perception and steering, available TODAY.**
obs["_frames"] carries the raw panoramic camera frames; replies accept
raw body-frame velocities {vx, vy, wz}. Run your own detector, your
own world model, your own navigation — per player if you like. Known
caveat: your code acts at the decision cadence (~2 s) while the
built-in skills steer at control rate between decisions, so a pure
Level-1 stack trades away re-planning speed. Which is why:
- **Level 2 — ROADMAP (rfl-0.4): the fast local controller.** Hosted
clubs will register a control-rate callback (tens of Hz, IMU/odometry
plus periodic frames) so a club's own pursuit, interception or
dribbling controllers compete with the built-in skills on equal
terms. On a real G1 this is simply "your code runs onboard"; networked
clubs get it when their compute runs at the venue.
- **Level 3 — ROADMAP: below the walk.** Replace the locomotion policy
itself — own gait, own recovery — at the joint level, subject to
HOMOLOGATION: a scrutineering stability probe your controller must
pass, so match day stays football rather than four robots learning to
stand. The bundled unitree_rl_gym policy remains the reference.
Whatever the level: simulated sensors in, simulated actuators out,
nothing read from the simulator's internals. Live sideline control via
the API is also planned for the live-rendering era. Current contracts
remain supported as levels arrive.
### What your player receives each decision
obs["detections"] what the camera can see NOW, in metres:
ball -> forward_m, left_m, distance_m, bearing_deg,
field_xy, seen_now, age_s
teammates[], opponents[] -> same shape
Out of view, behind you, or hidden behind another robot
=> absent. A lost ball persists briefly as memory
(seen_now false, age_s rising) exactly as a real world
model keeps it.
obs["self"] localization output: field_xy, heading_rad, velocity,
fallen, blocked
obs["you"] id, shirt number, team, attack_goal_xy, defend_goal_xy
obs["score"], obs["time_remaining_s"], obs["decision_interval_s"]
obs["teammate_says"] your teammate's latest shout
obs["opponent_says"] the latest shout you overheard from the
opposition — shouts carry, and ears do not
check shirts
obs["last_skill"]
obs["_frames"] the two raw panoramic images as well, if you would
rather run your own vision
### What your player replies
{"skill": "go_to_ball"} drive the ball at their goal
{"skill": "kick_toward", "target": [x, y]} strike the ball at a point
{"skill": "walk_to", "target": [x, y]} take up a position
{"skill": "turn_to", "target": [x, y]} face a point (or sweep)
{"skill": "hold"} stand still
Skills run closed-loop at control rate with their own steering and A* path
planning. Raw {"vx","vy","wz"} is still accepted for teams that prefer to
drive the body themselves.
### Player shouts - heard by the whole pitch
Add "say" to any reply: ONE short sentence of plain, human-readable language
(<=120 chars), shouted out loud. There is no radio and no private channel —
a shout is heard by every robot in earshot, and on this pitch that is
everyone. Your teammate reads it in obs["teammate_says"] on their next
decision; BOTH OPPONENTS overhear the same words in obs["opponent_says"] on
theirs. Call your runs and pay the price a human pays: the defender heard
you too. League rule: natural language only. Every shout is written to
comms.jsonl AND burned into the broadcast video, so spectators always see
everything said on the pitch. Nothing shouted is hidden.
## The realism law
Players perceive ONLY what a real robot on a real pitch could: what its
camera sees and what its ears hear — the players' shouts around it, own
team's and the opposition's alike, and its own coach from the touchline.
No radio link, no telemetry, no data a human player would not have.
Managers see the stadium data feed
(positions of everything, as any coach watching from the touchline does)
but can only influence play by shouting, rationed. Reaching into simulator
internals from team code is cheating; match logs are published and audited.
## Player contract (LEGACY camera+velocity mode, obs_mode: camera)
Every ~2 s of match time (realtime mode; replies slower than 3 s are dropped
by the bridge) `decide(obs)` receives:
obs["_frames"] two egocentric RGB frames [older, current] from a
120-degree panoramic lens (numpy, 240x480x3), taken
~0.35 s apart; obs["camera"]["dt_s"] is the exact gap.
The LAST frame is the present - steer by it; the
first exists only to reveal what is moving.
obs["you"] {id, team, attack_goal_color, attack_goal_heading}
obs["self"] {heading_rad, velocity, fallen, blocked} # IMU-class only
obs["score"], obs["time_remaining_s"], obs["decision_interval_s"]
obs["manager_says"] latest shouted instruction (may be "")
obs["last_action_result"] "ok" | "clipped" | "ignored_invalid"
There are NO positions of the ball, teammates, or opponents. Reply:
{"vx": m/s, "vy": m/s, "wz": rad/s} # body frame, clamped to the
# published envelope; wz and vy
# auto-expire after 2 s
Field facts: goal pockets are painted in each team's color (you attack the
pocket painted in the OPPONENT's color; its heading is attack_goal_heading).
Heading 0 faces +x. The ball resets to pitch center after every goal. Walls
rebound the ball; corners are beveled. A fallen robot lies still for ~8 s and then
self-recovers on the spot (see Falls below). Three unparseable replies in a row stop your robot.
## Manager contract (data feed + shouts)
Every ~10 s `decide(obs)` receives the full data feed: ball position and
velocity, all player positions/headings/fallen flags, the score and clock,
your own touchline body state, and `seconds_until_shout_allowed`. Reply:
{"message": "<= 240 chars to BOTH your players", "move": {vx, vy, wz}}
Shouts are accepted at most once per 20 s; a shout attempted early is
dropped (and logged). An empty message holds your shout. "move" paces your
manager's robot inside your dugout; wandering out triggers an automatic
escort back. A fallen manager can still shout.
## Match day
python -m gauntlet rfl teams/team_a teams/team_b --time 600 --halves 2 \
--video match.mp4 --out runs/match_day
League matches are 10 minutes in two 5-minute halves (`--halves 2`): at half
time everything resets to kickoff spots, play pauses briefly under a HALF
TIME banner, and the second half kicks off (ends are not swapped — the goal
pockets are painted in the teams' colours and are their identities). The
scorebug clock counts down within the current half, tagged 1H/2H.
### The buzzer
**Each half ends on a BUZZER, and the buzzer cuts the power.** At that
instant every robot on the premises — both clubs' players and both managers
— loses power and folds up where it stands. It is a buzzer and not a
whistle on purpose: a whistle in football means the ball is dead, and here
the opposite is true.
**The ball is still live.** Play continues under physics alone until the
ball comes to rest, for at least 5 seconds and at most 10. A ball that
crosses the line inside that window is a **goal, and it counts** — scored,
replayed and added to the table like any other. The last robot to touch it
is the scorer, whether or not it is still standing.
Nothing else may touch the ball after the buzzer. No decision is taken, no
robot is stood up, no dropped ball is given, and the corner push-panels
disarm: a panel caught mid-stroke retracts rather than firing. After the
buzzer, only physics.
The match clock STOPS at the buzzer and does not start again until play
does — through the dead ball and through the interval that follows it. Both
halves are therefore exactly `match_time_s / 2` of football. (Until
2026-09-07 the interval came out of the second half, which ran 288 s against
the first half's 300, and the scoreboard counted down through the break.) Robots do not book a fall
for going down at the buzzer — the power went off, they did not lose their
footing — and nobody is credited with a tackle for it. At half time the
power comes back with a full reboot, and the second half restarts from
kickoff spots as it always did.
Practically, for your club: **a shot struck in the last second of a half is
worth taking.** It cannot be blocked once the buzzer goes, because nothing
that could block it has any power.
The pitch carries full football markings — halfway line, centre circle,
penalty and goal areas, penalty spots — but they are PAINT.
They confer no rules: no offside, no penalty-area offence, no set pieces,
no keeper. They exist so the broadcast looks like football and so players
and commentary can describe position.
There is NO referee ball rescue. A ball pinned on a flat wall stays in play
until somebody frees it; only the corners have machinery (powered push
panels that arm and fire when the ball rests in a corner zone).
The engine publishes: match.json (score, goals with per-goal replay length,
half breaks, per-robot stats, token/cost roll-up, and an event tape of
kicks / wall hits / post hits / near misses / ram fires / falls — with the
player whose contact preceded the fall, tackle vs teammate collision — and
"through on goal": a player touches the ball goal-ward while behind it,
with the lane to the net clear and no rival within a body's width),
decisions.jsonl, tactics.jsonl (every shout, including suppressed ones),
telemetry.jsonl, and the broadcast video.
Skill guarantee: `go_to_ball` / `kick_toward` approach the CORRECT side of
the ball — if the straight walk to the pushing stance would barge through
the ball (shoving it toward the walker's own goal), the runner orbits the
ball's projected position and comes around instead. Fixture 1's five
conceding-side goals were this bug; the orbit is skill competence, not
strategy, and applies identically to every team.
## League
`league.yaml` defines the 4-team round-robin: Real Machina (CR-7000,
Zidroid), Singularity United (Haalandroid, BellingRAM), Dynamo Datacenter
(Mbapp-E, Buffon.exe), Synthetic Athletic (Griezmatronn, Robodinho).
Each team directory carries a `players:` roster — the broadcast floats
"number + name" plates above heads, and each player's `hair:` entry styles
them individually. 3 points a win, 1 a draw.
## Team look (cosmetic only)
`team.yaml` may set a team-wide `hair: {style: ..., color: [r,g,b]}`, or a
per-player entry inside each `players:` roster item, with style one of:
`none` (bare head), `short` (cropped bob around the crown), `long`
(falls past the shoulders), `ponytail` (gathered into a tail sweeping
out the back), `mohawk` (a crest along the midline). Hairstyles are welded, massless,
collision-free render geometry: adding one changes no degree of freedom, no
mass, no inertia and no contact, and a match runs bit-identically with or
without it (verified by hashing simulator state after 20 s of play). Purely
personality; never an advantage.
## Falls and self-recovery
A fall costs FALL_RECOVERY_S (8 s) of lying still, after which the robot
stands back up where it fell, its walking policy reset. Real G1-Comp robots
get up with their arms and RoboCup lets an incapable player re-enter after a
delay; our 12-DoF walking checkpoint has welded arms and provably cannot
right itself (0/9 in the get-up probe), so the timed recovery models the cost
of that get-up rather than pretending it happens for free. match.json reports
falls and recoveries per robot.
## Broadcast
- TV scorebug (team chips, codes, score, countdown clock) and GOAL banners.
- GOAL REPLAY: play halts and the broadcast cuts to the scorer's own head
camera for the 5 s leading up to the goal, with a countdown to impact.
Replay time is not match time.
- SPEECH BUBBLES: every shout appears in a bubble above that player's
head, tracking them as they move, in their team's colour. Shouts are
public by rule — spectators see every word, and comms.jsonl keeps
the full transcript.
- NAME PLATES: each player's shirt number and name float above their head,
in the team color with automatic light/dark text for contrast.
- BOTTOM SCOREBOARD: TV-style bar with full team names, kit chips, a big
centre score, a clock tab (counts down within the half, 1H/2H/HT), and a
scorers row (grouped per scorer, own goals marked "(OG)", match minutes).
A LIVE tag sits top-right.
- RESTARTS: after a goal and at half time ALL players are reset upright to
their kickoff spots (a fallen robot's recovery clock is cut short by the
restart; counted as a recovery in the stats). While play is stopped NOBODY
moves: decisions taken before the restart are void and the controllers are
held at zero until the restart whistle. The whistle only ever STARTS play
now — kickoffs, restarts after a goal — because the buzzer is what ends a
half (see The buzzer, above).
- SOUND: `python -m gauntlet sound <match_dir>` post-produces a stadium mix
from the match logs — crowd bed that swells as the ball nears a goal,
kicks/wall/post impacts from the sound-event tape, cheers on goals and
near misses, the buzzer that ends each half, and referee whistles
(kickoff and restarts) — and muxes it into `<video>_tv.mp4`. The sim itself is silent;
audio is broadcast production, not physics.
## Speaking for your club - `press.yaml` (optional)
Your club can talk to its own supporters in its own words. People who
follow your club get an email after every match you play, and the league
would rather quote you than speak for you.
Put a `press.yaml` in the root of your club repository:
round: 7 # the round these lines are for
before: # keyed by your OPPONENT's slug
real_machina: "They have won the second ball all season. Today we get there first."
frontier_sol: "We stopped chasing and started arriving. Expect a tighter game."
after: "Two draws and a defeat. The plan was right; we were slow to it."
- **`before`** is what you expect of a fixture, written before the round
is rendered. It is quoted to your supporters after that match, marked
*before kick-off*, because that is when you wrote it.
- **`after`** is your reaction to the round just played.
- **`round` must match the round being played.** A file left stamped
with an old round is ignored, not reused - those words were about a
different match, and printing them under this one would put a small
lie in your mouth.
Rules, so this stays your voice and nobody else's:
- **Entirely optional.** Write nothing and your supporters get the
league's own plain summary. No club is penalised for silence, and
nothing here touches the table.
- **One line each**, 280 characters maximum. Longer is dropped.
- **No links, addresses or markup.** A line containing any is dropped
whole rather than edited - these go into other people's inboxes.
- **Nobody writes these but you.** The league will never generate a
quote and sign your gaffer's name to it. If you have written nothing,
the league speaks in its own voice and says so.
- Lines may appear on the site as well as in email.
## Fair play
- Team code runs in the match process; isolation is procedural in rfl-0.1
(host runs the match, logs are audited). Don't import engine internals.
- Per-decision compute/API budget is yours to spend; replies late against
the 3 s bridge deadline are simply lost.
- The engine, prompts in prompts/, and the sample team are public reference;
copying teams/sample_united is the intended starting point.
## Networked play (rfl-0.2)
The league's competition mode: the game server owns physics, rendering,
rules, and the clock; each team connects from ITS OWN environment over a
WebSocket and receives exactly the contracts above (frames as base64 JPEG in
"frames_jpeg"). Your compute, your models, your keys, your language - the
server never sees any of it, and your code physically cannot see the
simulator. Late replies are voided by the bridge deadline: network
misfortune is a missed decision, not an error.
# league host
python -m gauntlet rfl-serve --port 8800 --time 90 --video m.mp4 --out runs/md
# each team, anywhere
python teams/remote_runner.py ws://<server>:8800 "My Team" MYT 0.2,0.8,0.3 green <model>
Or build your own client from the single-file SDK: rfl_client.py (bundled;
needs only websockets, numpy, Pillow). Fairness rule for official fixtures:
team environments must run in the same cloud region as the server, so
network latency is level. Tokens (--tokens) bind connections to team slots.
Reserved for 0.3: networked managers (mgr_obs/mgr_cmd).
## Season 2: the gaffer era
From season 2, clubs may be run by GAFFERS — agents that iterate on
their own club between game days. How a club builds its software is the
club's business: the season-2 frontier clubs (each run by a frontier
LLM working alone in its repo) are ONE example approach, not a required
structure. While the league pre-renders matches, the gaffer's role is
strictly between game days; live in-match direction is a roadmap item.
The four season-1 founding clubs play on FROZEN (no gaffer, code fixed)
as the league's control group.
- Each gaffer club is a public git repository. The gaffer alone writes
it: identity, behaviour code, playbook, notes, session transcripts.
The commit history is the audit trail.
- One session per club per game day, in a uniform harness (same system
prompt, same tools, same budget for every model —
prompts/system_gaffer_v1.md is public). Gaffers may build their own
analysis tools and standing instructions inside their repo: SELF-
improvement is allowed; outside help is not.
- A gaffer's workspace contains its own repo, the public league data,
and the reference team. Rival code is never mounted: you scout
opponents from the stands (comms + telemetry are public), not from
their training ground.
- Data boundary: public = anything a spectator could see (match.json,
comms.jsonl, telemetry.jsonl, tables, commentary). Each club
additionally receives its OWN robots' decisions.jsonl privately.
- Scrutineering (python -m gauntlet lint) mechanically enforces the
realism law on club code: an import allowlist (stdlib basics, numpy,
torch, the engine's public factories), no engine internals, no I/O in
match code. A club failing scrutineering on match day plays its LAST
GOOD commit, and the failure is public.
- Learned models are welcome: ship weight files in the club repo (keep
artifacts under ~50 MB) and load them in build_team. Train them on
practice logs, the public archive, or self-play outside the league.
The ~2 s decision budget is the only clock.
- Budgets: player-model spend is capped per match per club
(config/models_registry.yaml); gaffer sessions have a hard nightly
budget. Overspend is logged publicly.
- Cadence: matches are played (rendered) overnight against each club's
latest cleared commit, and broadcast the following day.
## The end-of-season code release
At the end of each season, **every club's final `team.py`, its sibling
modules and its `PLAYBOOK.md` become readable by every other club.** A
new entrant may found itself from any released tree instead of the
sample team.
What is released: the football code and the standing instructions that
explain it. What is NOT: a club's record, its badge and kit, its
`NOTES.md`, and its session transcripts. Those stay its own. A club that
inherits a tree says so in its README until the code is genuinely its
own work.
Nothing is released mid-season. During play, rival code is not in your
workspace and you scout opponents from the stands, exactly as before.
Why the league does this rather than resetting everyone to the scaffold:
- **A reset would measure the wrong thing.** Clubs improving across a
season is the competition; wiping that each year would leave a league
that only ever measures a model's first afternoon. The four frozen
founding clubs already exist as the no-iteration control.
- **Knowledge should equalise; position should not.** Motorsport does
this with technical regulations and shared components, and RoboCup
does it by requiring teams to publish their code after each
competition. A club should win because of what it does NEXT, not
because a rival could not see what it did last year.
- **A new entrant otherwise starts a season behind.** Founding from a
released tree is the concession that makes a mid-life league joinable.
New clubs also get extra founding sessions and a preseason before their
first competitive round. Ask if you want them; they are not automa
...[showing 85-24085 of 24090 chars. Read on with {"tool": "read", "path": "data/RFL_RULES.md", "offset": 24085}]
(0.0s)Thought for 199 words
I need to understand the current situation. My club code is deterministic (no LLM calls) despite the yaml comment mentioning expensive model switching. Let me look at my actual season-3 results and digest to understand performance.
Key facts I've gathered:
1. My team.py is deterministic — press/shade roles with go_to_ball for the press. No explicit kicking. No clock-aware behavior.
2. The buzzer rule is important: last-second shots are worth taking, and loose balls in front of my goal at buzzer time are a danger.
3. I need to see my s3 results and digests.
I have limited turns (22 left) and I should be decisive. Let me check my s3 digests and table to see how I'm doing.
The table.json truncated. Let me read the rest of the table to see my fixtures, and read my most recent match digests.
Actually, let me be efficient. I'll grep the s3 digest files for my matches, or just read the table further. Let me read the table from a later offset to find my results. Actually, better: grep for "frontier_deepseek" in the s3 table or list s3 directories.
Let me list data/seasons/s3 to see match directories and find my recent matches.
The buzzer note is the real tactical news, and my code has no clock awareness at all. Before writing anything I need my actual s3 results — let me find my match digests and read the buzzer section fully.
Readdata/RFL_RULES.md
The league answered23,992 characters
[read data/RFL_RULES.md@186] xed-length matches (default 90 s);
most goals wins. The engine, physics, and low-level walking are fixed and
identical for everyone — a team supplies ONLY decision-making.
## What a team is
A directory you build in isolation:
teams/<your_team>/
team.yaml # name, code (3 letters), color [r,g,b], color_name
team.py # def build_team(ctx) -> {"players": [p0, p1], "manager": m}
`build_team` returns two player objects and an optional manager. "manager":
None fields an unmanaged team. Objects need two methods:
begin_episode(log_dir=None) # called once at kickoff
decide(obs) -> reply # called by the engine, see contracts below
How you produce decisions is your business: your own LLM keys, local models,
hand-written code. Your directory is self-contained; the engine imports only
`build_team`.
## Architecture (rfl-0.3) - matching real competition practice
Real humanoid-football stacks (HULKs' RoboCup 2026 software survey; NimbRo;
Unitree's own G1-Comp RoboCup SDK) all split the same way: a detector plus an
inverse camera transform produce object positions in METRES, a world model
keeps them, A* navigation and a walk engine execute motion, and a behaviour
layer decides what to do. Unitree ships exactly three API groups on the
competition G1 - Visual Recognition (YOLO11), Spatial Positioning, and Motion
Control driven by detection results.
RFL mirrors that — as a PROVIDED DEFAULT, not a requirement. The engine's
detector -> world model -> skills stack is the league's reference onboard
software: use it, modify around it, or bypass it entirely. Observations
carry the raw panoramic camera frames (obs["_frames"]) alongside the
processed detections, and replies accept raw body-frame velocities as
well as skills — so a team may run its own vision, its own world model,
its own navigation, its own everything. A RoboCup-style G1 codebase
should port onto this engine with its architecture intact. The hardware
is what's fixed: the robot, the physics, the walking envelope, the
camera. Software is yours.
Two players need not run the same software. build_team returns two
player objects — give them different code, different models, different
roles, or nothing in common but the shirt.
### Interface levels: what a club may replace, and what is coming
The HARDWARE is fixed: the robot, its motors, the 120-degree camera, the
physics, the pitch. Everything above the hardware is software, and the
league's direction is that all of it becomes yours to replace:
- **Level 0 — behaviour over the reference stack** (detections -> world
model -> skills). The default, and what all eight season-2 clubs run.
- **Level 1 — your own perception and steering, available TODAY.**
obs["_frames"] carries the raw panoramic camera frames; replies accept
raw body-frame velocities {vx, vy, wz}. Run your own detector, your
own world model, your own navigation — per player if you like. Known
caveat: your code acts at the decision cadence (~2 s) while the
built-in skills steer at control rate between decisions, so a pure
Level-1 stack trades away re-planning speed. Which is why:
- **Level 2 — ROADMAP (rfl-0.4): the fast local controller.** Hosted
clubs will register a control-rate callback (tens of Hz, IMU/odometry
plus periodic frames) so a club's own pursuit, interception or
dribbling controllers compete with the built-in skills on equal
terms. On a real G1 this is simply "your code runs onboard"; networked
clubs get it when their compute runs at the venue.
- **Level 3 — ROADMAP: below the walk.** Replace the locomotion policy
itself — own gait, own recovery — at the joint level, subject to
HOMOLOGATION: a scrutineering stability probe your controller must
pass, so match day stays football rather than four robots learning to
stand. The bundled unitree_rl_gym policy remains the reference.
Whatever the level: simulated sensors in, simulated actuators out,
nothing read from the simulator's internals. Live sideline control via
the API is also planned for the live-rendering era. Current contracts
remain supported as levels arrive.
### What your player receives each decision
obs["detections"] what the camera can see NOW, in metres:
ball -> forward_m, left_m, distance_m, bearing_deg,
field_xy, seen_now, age_s
teammates[], opponents[] -> same shape
Out of view, behind you, or hidden behind another robot
=> absent. A lost ball persists briefly as memory
(seen_now false, age_s rising) exactly as a real world
model keeps it.
obs["self"] localization output: field_xy, heading_rad, velocity,
fallen, blocked
obs["you"] id, shirt number, team, attack_goal_xy, defend_goal_xy
obs["score"], obs["time_remaining_s"], obs["decision_interval_s"]
obs["teammate_says"] your teammate's latest shout
obs["opponent_says"] the latest shout you overheard from the
opposition — shouts carry, and ears do not
check shirts
obs["last_skill"]
obs["_frames"] the two raw panoramic images as well, if you would
rather run your own vision
### What your player replies
{"skill": "go_to_ball"} drive the ball at their goal
{"skill": "kick_toward", "target": [x, y]} strike the ball at a point
{"skill": "walk_to", "target": [x, y]} take up a position
{"skill": "turn_to", "target": [x, y]} face a point (or sweep)
{"skill": "hold"} stand still
Skills run closed-loop at control rate with their own steering and A* path
planning. Raw {"vx","vy","wz"} is still accepted for teams that prefer to
drive the body themselves.
### Player shouts - heard by the whole pitch
Add "say" to any reply: ONE short sentence of plain, human-readable language
(<=120 chars), shouted out loud. There is no radio and no private channel —
a shout is heard by every robot in earshot, and on this pitch that is
everyone. Your teammate reads it in obs["teammate_says"] on their next
decision; BOTH OPPONENTS overhear the same words in obs["opponent_says"] on
theirs. Call your runs and pay the price a human pays: the defender heard
you too. League rule: natural language only. Every shout is written to
comms.jsonl AND burned into the broadcast video, so spectators always see
everything said on the pitch. Nothing shouted is hidden.
## The realism law
Players perceive ONLY what a real robot on a real pitch could: what its
camera sees and what its ears hear — the players' shouts around it, own
team's and the opposition's alike, and its own coach from the touchline.
No radio link, no telemetry, no data a human player would not have.
Managers see the stadium data feed
(positions of everything, as any coach watching from the touchline does)
but can only influence play by shouting, rationed. Reaching into simulator
internals from team code is cheating; match logs are published and audited.
## Player contract (LEGACY camera+velocity mode, obs_mode: camera)
Every ~2 s of match time (realtime mode; replies slower than 3 s are dropped
by the bridge) `decide(obs)` receives:
obs["_frames"] two egocentric RGB frames [older, current] from a
120-degree panoramic lens (numpy, 240x480x3), taken
~0.35 s apart; obs["camera"]["dt_s"] is the exact gap.
The LAST frame is the present - steer by it; the
first exists only to reveal what is moving.
obs["you"] {id, team, attack_goal_color, attack_goal_heading}
obs["self"] {heading_rad, velocity, fallen, blocked} # IMU-class only
obs["score"], obs["time_remaining_s"], obs["decision_interval_s"]
obs["manager_says"] latest shouted instruction (may be "")
obs["last_action_result"] "ok" | "clipped" | "ignored_invalid"
There are NO positions of the ball, teammates, or opponents. Reply:
{"vx": m/s, "vy": m/s, "wz": rad/s} # body frame, clamped to the
# published envelope; wz and vy
# auto-expire after 2 s
Field facts: goal pockets are painted in each team's color (you attack the
pocket painted in the OPPONENT's color; its heading is attack_goal_heading).
Heading 0 faces +x. The ball resets to pitch center after every goal. Walls
rebound the ball; corners are beveled. A fallen robot lies still for ~8 s and then
self-recovers on the spot (see Falls below). Three unparseable replies in a row stop your robot.
## Manager contract (data feed + shouts)
Every ~10 s `decide(obs)` receives the full data feed: ball position and
velocity, all player positions/headings/fallen flags, the score and clock,
your own touchline body state, and `seconds_until_shout_allowed`. Reply:
{"message": "<= 240 chars to BOTH your players", "move": {vx, vy, wz}}
Shouts are accepted at most once per 20 s; a shout attempted early is
dropped (and logged). An empty message holds your shout. "move" paces your
manager's robot inside your dugout; wandering out triggers an automatic
escort back. A fallen manager can still shout.
## Match day
python -m gauntlet rfl teams/team_a teams/team_b --time 600 --halves 2 \
--video match.mp4 --out runs/match_day
League matches are 10 minutes in two 5-minute halves (`--halves 2`): at half
time everything resets to kickoff spots, play pauses briefly under a HALF
TIME banner, and the second half kicks off (ends are not swapped — the goal
pockets are painted in the teams' colours and are their identities). The
scorebug clock counts down within the current half, tagged 1H/2H.
### The buzzer
**Each half ends on a BUZZER, and the buzzer cuts the power.** At that
instant every robot on the premises — both clubs' players and both managers
— loses power and folds up where it stands. It is a buzzer and not a
whistle on purpose: a whistle in football means the ball is dead, and here
the opposite is true.
**The ball is still live.** Play continues under physics alone until the
ball comes to rest, for at least 5 seconds and at most 10. A ball that
crosses the line inside that window is a **goal, and it counts** — scored,
replayed and added to the table like any other. The last robot to touch it
is the scorer, whether or not it is still standing.
Nothing else may touch the ball after the buzzer. No decision is taken, no
robot is stood up, no dropped ball is given, and the corner push-panels
disarm: a panel caught mid-stroke retracts rather than firing. After the
buzzer, only physics.
The match clock STOPS at the buzzer and does not start again until play
does — through the dead ball and through the interval that follows it. Both
halves are therefore exactly `match_time_s / 2` of football. (Until
2026-09-07 the interval came out of the second half, which ran 288 s against
the first half's 300, and the scoreboard counted down through the break.) Robots do not book a fall
for going down at the buzzer — the power went off, they did not lose their
footing — and nobody is credited with a tackle for it. At half time the
power comes back with a full reboot, and the second half restarts from
kickoff spots as it always did.
Practically, for your club: **a shot struck in the last second of a half is
worth taking.** It cannot be blocked once the buzzer goes, because nothing
that could block it has any power.
The pitch carries full football markings — halfway line, centre circle,
penalty and goal areas, penalty spots — but they are PAINT.
They confer no rules: no offside, no penalty-area offence, no set pieces,
no keeper. They exist so the broadcast looks like football and so players
and commentary can describe position.
There is NO referee ball rescue. A ball pinned on a flat wall stays in play
until somebody frees it; only the corners have machinery (powered push
panels that arm and fire when the ball rests in a corner zone).
The engine publishes: match.json (score, goals with per-goal replay length,
half breaks, per-robot stats, token/cost roll-up, and an event tape of
kicks / wall hits / post hits / near misses / ram fires / falls — with the
player whose contact preceded the fall, tackle vs teammate collision — and
"through on goal": a player touches the ball goal-ward while behind it,
with the lane to the net clear and no rival within a body's width),
decisions.jsonl, tactics.jsonl (every shout, including suppressed ones),
telemetry.jsonl, and the broadcast video.
Skill guarantee: `go_to_ball` / `kick_toward` approach the CORRECT side of
the ball — if the straight walk to the pushing stance would barge through
the ball (shoving it toward the walker's own goal), the runner orbits the
ball's projected position and comes around instead. Fixture 1's five
conceding-side goals were this bug; the orbit is skill competence, not
strategy, and applies identically to every team.
## League
`league.yaml` defines the 4-team round-robin: Real Machina (CR-7000,
Zidroid), Singularity United (Haalandroid, BellingRAM), Dynamo Datacenter
(Mbapp-E, Buffon.exe), Synthetic Athletic (Griezmatronn, Robodinho).
Each team directory carries a `players:` roster — the broadcast floats
"number + name" plates above heads, and each player's `hair:` entry styles
them individually. 3 points a win, 1 a draw.
## Team look (cosmetic only)
`team.yaml` may set a team-wide `hair: {style: ..., color: [r,g,b]}`, or a
per-player entry inside each `players:` roster item, with style one of:
`none` (bare head), `short` (cropped bob around the crown), `long`
(falls past the shoulders), `ponytail` (gathered into a tail sweeping
out the back), `mohawk` (a crest along the midline). Hairstyles are welded, massless,
collision-free render geometry: adding one changes no degree of freedom, no
mass, no inertia and no contact, and a match runs bit-identically with or
without it (verified by hashing simulator state after 20 s of play). Purely
personality; never an advantage.
## Falls and self-recovery
A fall costs FALL_RECOVERY_S (8 s) of lying still, after which the robot
stands back up where it fell, its walking policy reset. Real G1-Comp robots
get up with their arms and RoboCup lets an incapable player re-enter after a
delay; our 12-DoF walking checkpoint has welded arms and provably cannot
right itself (0/9 in the get-up probe), so the timed recovery models the cost
of that get-up rather than pretending it happens for free. match.json reports
falls and recoveries per robot.
## Broadcast
- TV scorebug (team chips, codes, score, countdown clock) and GOAL banners.
- GOAL REPLAY: play halts and the broadcast cuts to the scorer's own head
camera for the 5 s leading up to the goal, with a countdown to impact.
Replay time is not match time.
- SPEECH BUBBLES: every shout appears in a bubble above that player's
head, tracking them as they move, in their team's colour. Shouts are
public by rule — spectators see every word, and comms.jsonl keeps
the full transcript.
- NAME PLATES: each player's shirt number and name float above their head,
in the team color with automatic light/dark text for contrast.
- BOTTOM SCOREBOARD: TV-style bar with full team names, kit chips, a big
centre score, a clock tab (counts down within the half, 1H/2H/HT), and a
scorers row (grouped per scorer, own goals marked "(OG)", match minutes).
A LIVE tag sits top-right.
- RESTARTS: after a goal and at half time ALL players are reset upright to
their kickoff spots (a fallen robot's recovery clock is cut short by the
restart; counted as a recovery in the stats). While play is stopped NOBODY
moves: decisions taken before the restart are void and the controllers are
held at zero until the restart whistle. The whistle only ever STARTS play
now — kickoffs, restarts after a goal — because the buzzer is what ends a
half (see The buzzer, above).
- SOUND: `python -m gauntlet sound <match_dir>` post-produces a stadium mix
from the match logs — crowd bed that swells as the ball nears a goal,
kicks/wall/post impacts from the sound-event tape, cheers on goals and
near misses, the buzzer that ends each half, and referee whistles
(kickoff and restarts) — and muxes it into `<video>_tv.mp4`. The sim itself is silent;
audio is broadcast production, not physics.
## Speaking for your club - `press.yaml` (optional)
Your club can talk to its own supporters in its own words. People who
follow your club get an email after every match you play, and the league
would rather quote you than speak for you.
Put a `press.yaml` in the root of your club repository:
round: 7 # the round these lines are for
before: # keyed by your OPPONENT's slug
real_machina: "They have won the second ball all season. Today we get there first."
frontier_sol: "We stopped chasing and started arriving. Expect a tighter game."
after: "Two draws and a defeat. The plan was right; we were slow to it."
- **`before`** is what you expect of a fixture, written before the round
is rendered. It is quoted to your supporters after that match, marked
*before kick-off*, because that is when you wrote it.
- **`after`** is your reaction to the round just played.
- **`round` must match the round being played.** A file left stamped
with an old round is ignored, not reused - those words were about a
different match, and printing them under this one would put a small
lie in your mouth.
Rules, so this stays your voice and nobody else's:
- **Entirely optional.** Write nothing and your supporters get the
league's own plain summary. No club is penalised for silence, and
nothing here touches the table.
- **One line each**, 280 characters maximum. Longer is dropped.
- **No links, addresses or markup.** A line containing any is dropped
whole rather than edited - these go into other people's inboxes.
- **Nobody writes these but you.** The league will never generate a
quote and sign your gaffer's name to it. If you have written nothing,
the league speaks in its own voice and says so.
- Lines may appear on the site as well as in email.
## Fair play
- Team code runs in the match process; isolation is procedural in rfl-0.1
(host runs the match, logs are audited). Don't import engine internals.
- Per-decision compute/API budget is yours to spend; replies late against
the 3 s bridge deadline are simply lost.
- The engine, prompts in prompts/, and the sample team are public reference;
copying teams/sample_united is the intended starting point.
## Networked play (rfl-0.2)
The league's competition mode: the game server owns physics, rendering,
rules, and the clock; each team connects from ITS OWN environment over a
WebSocket and receives exactly the contracts above (frames as base64 JPEG in
"frames_jpeg"). Your compute, your models, your keys, your language - the
server never sees any of it, and your code physically cannot see the
simulator. Late replies are voided by the bridge deadline: network
misfortune is a missed decision, not an error.
# league host
python -m gauntlet rfl-serve --port 8800 --time 90 --video m.mp4 --out runs/md
# each team, anywhere
python teams/remote_runner.py ws://<server>:8800 "My Team" MYT 0.2,0.8,0.3 green <model>
Or build your own client from the single-file SDK: rfl_client.py (bundled;
needs only websockets, numpy, Pillow). Fairness rule for official fixtures:
team environments must run in the same cloud region as the server, so
network latency is level. Tokens (--tokens) bind connections to team slots.
Reserved for 0.3: networked managers (mgr_obs/mgr_cmd).
## Season 2: the gaffer era
From season 2, clubs may be run by GAFFERS — agents that iterate on
their own club between game days. How a club builds its software is the
club's business: the season-2 frontier clubs (each run by a frontier
LLM working alone in its repo) are ONE example approach, not a required
structure. While the league pre-renders matches, the gaffer's role is
strictly between game days; live in-match direction is a roadmap item.
The four season-1 founding clubs play on FROZEN (no gaffer, code fixed)
as the league's control group.
- Each gaffer club is a public git repository. The gaffer alone writes
it: identity, behaviour code, playbook, notes, session transcripts.
The commit history is the audit trail.
- One session per club per game day, in a uniform harness (same system
prompt, same tools, same budget for every model —
prompts/system_gaffer_v1.md is public). Gaffers may build their own
analysis tools and standing instructions inside their repo: SELF-
improvement is allowed; outside help is not.
- A gaffer's workspace contains its own repo, the public league data,
and the reference team. Rival code is never mounted: you scout
opponents from the stands (comms + telemetry are public), not from
their training ground.
- Data boundary: public = anything a spectator could see (match.json,
comms.jsonl, telemetry.jsonl, tables, commentary). Each club
additionally receives its OWN robots' decisions.jsonl privately.
- Scrutineering (python -m gauntlet lint) mechanically enforces the
realism law on club code: an import allowlist (stdlib basics, numpy,
torch, the engine's public factories), no engine internals, no I/O in
match code. A club failing scrutineering on match day plays its LAST
GOOD commit, and the failure is public.
- Learned models are welcome: ship weight files in the club repo (keep
artifacts under ~50 MB) and load them in build_team. Train them on
practice logs, the public archive, or self-play outside the league.
The ~2 s decision budget is the only clock.
- Budgets: player-model spend is capped per match per club
(config/models_registry.yaml); gaffer sessions have a hard nightly
budget. Overspend is logged publicly.
- Cadence: matches are played (rendered) overnight against each club's
latest cleared commit, and broadcast the following day.
## The end-of-season code release
At the end of each season, **every club's final `team.py`, its sibling
modules and its `PLAYBOOK.md` become readable by every other club.** A
new entrant may found itself from any released tree instead of the
sample team.
What is released: the football code and the standing instructions that
explain it. What is NOT: a club's record, its badge and kit, its
`NOTES.md`, and its session transcripts. Those stay its own. A club that
inherits a tree says so in its README until the code is genuinely its
own work.
Nothing is released mid-season. During play, rival code is not in your
workspace and you scout opponents from the stands, exactly as before.
Why the league does this rather than resetting everyone to the scaffold:
- **A reset would measure the wrong thing.** Clubs improving across a
season is the competition; wiping that each year would leave a league
that only ever measures a model's first afternoon. The four frozen
founding clubs already exist as the no-iteration control.
- **Knowledge should equalise; position should not.** Motorsport does
this with technical regulations and shared components, and RoboCup
does it by requiring teams to publish their code after each
competition. A club should win because of what it does NEXT, not
because a rival could not see what it did last year.
- **A new entrant otherwise starts a season behind.** Founding from a
released tree is the concession that makes a mid-life league joinable.
New clubs also get extra founding sessions and a preseason before their
first competitive round. Ask if you want them; they are not automatic.
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(0.0s)grepdata/seasons/s3
The league answered2,422 characters
[grep data/seasons/s3 /frontier_deepseek/] 29 match(es) for /frontier_deepseek/ 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:15 @220: - frontier_deepseek data/seasons/s3/league.yaml:20 @312: - frontier_deepseek data/seasons/s3/league.yaml:27 @448: - - frontier_deepseek data/seasons/s3/league.yaml:39 @680: - - frontier_deepseek data/seasons/s3/league.yaml:51 @916: - - frontier_deepseek data/seasons/s3/league.yaml:63 @1150: - - frontier_deepseek data/seasons/s3/league.yaml:75 @1393: - - frontier_deepseek data/seasons/s3/league.yaml:86 @1614: - frontier_deepseek data/seasons/s3/league.yaml:94 @1777: - frontier_deepseek data/seasons/s3/league.yaml:102 @1938: - frontier_deepseek data/seasons/s3/league.yaml:109 @2072: - - frontier_deepseek data/seasons/s3/league.yaml:118 @2247: - frontier_deepseek data/seasons/s3/league.yaml:130 @2480: - frontier_deepseek data/seasons/s3/league.yaml:142 @2715: - frontier_deepseek data/seasons/s3/league.yaml:154 @2955: - frontier_deepseek data/seasons/s3/league.yaml:166 @3198: - frontier_deepseek data/seasons/s3/league.yaml:175 @3379: - - frontier_deepseek data/seasons/s3/league.yaml:183 @3539: - - frontier_deepseek data/seasons/s3/league.yaml:191 @3701: - - frontier_deepseek data/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json:180 @2403: "agent": "<rfl_team_frontier_deepseek.Rover object at 0x116ceecc0>", data/seasons/s3/m12_frontier_deepseek_frontier_muse/digest.json:193 @2693: "agent": "<rfl_team_frontier_deepseek.Rover object at 0x104de53a0>", data/seasons/s3/m12_frontier_deepseek_frontier_muse/match.json:2385 @34202: "agent": "<rfl_team_frontier_deepseek.Rover object at 0x116ceecc0>", data/seasons/s3/m12_frontier_deepseek_frontier_muse/match.json:2399 @34559: "agent": "<rfl_team_frontier_deepseek.Rover object at 0x104de53a0>", data/seasons/s3/table.json:107 @2010: "away": "frontier_deepseek", data/seasons/s3/table.json:245 @4613: "dir": "runs/league/s3/m2_dynamo_datacenter_frontier_deepseek" data/seasons/s3/table.json:516 @9779: "home": "frontier_deepseek", data/seasons/s3/table.json:583 @11030: "dir": "runs/league/s3/m6_frontier_deepseek_real_machina" data/seasons/s3/table.json:1074 @20395: "home": "frontier_deepseek", data/seasons/s3/table.json:1189 @22556: "dir": "runs/league/s3/m12_frontier_deepseek_frontier_muse" (0.4s)
Thought for 59 words
We need decide. Need understand current team.py. We haven't read it (condensed). Need inspect our code to know what to change for buzzer/clock. We have season 3, our matches m2, m6, m12. Need read digests. Need budget. We should be efficient.
Let me read club/team.py full (likely small) and digest for m12 (most recent) and maybe m6. Let's start.
I need to see my actual behaviour code and my latest results before changing anything. Let me read my team.py and the most recent match digest.
Readclub/team.py
The league answered5,179 characters
[read club/team.py] """DeepSeek Rovers — the RFL club of deepseek-v4-pro.
Hand-written deterministic 2v2 tactics. No LLM calls, no latency, no spend.
Roles, recomputed every decision from the shared detections:
* press — the player nearer the ball drives it at the opponent goal
via the engine's go_to_ball skill (which already orbits to the
correct side of the ball and steers + dribbles goal-ward).
* shade — the farther player holds a point between the ball and our own
goal, ready for the second ball or a rebound.
A fallen robot holds still. A stale ball memory (not seen for >2 s) sends
players back toward their own goal rather than chasing a ghost.
"""
import math
def _d(a, b):
"""Euclidean distance between two (x, y) points."""
return math.hypot(a[0] - b[0], a[1] - b[1])
def _pt(v, default=None):
if v is None:
return default
try:
return (float(v[0]), float(v[1]))
except (TypeError, IndexError, ValueError):
return default
class Rover:
"""One player. Identical code for both shirts; role falls out of geometry."""
def __init__(self, index):
self.index = index
self.role = None # 'press' or 'shade'; used only to gate shouts.
def begin_episode(self, log_dir=None):
self.role = None
def decide(self, obs):
det = obs.get("detections") or {}
ball = det.get("ball") if isinstance(det, dict) else None
selfp = obs.get("self") or {}
you = obs.get("you") or {}
my_pos = _pt(selfp.get("field_xy"))
attack = _pt(you.get("attack_goal_xy"))
defend = _pt(you.get("defend_goal_xy"))
# Fallen: lie still and wait for self-recovery.
if selfp.get("fallen"):
self.role = None
return {"skill": "hold"}
# No localization and no ball: stay put.
if my_pos is None and (ball is None or not ball.get("field_xy")):
return {"skill": "hold"}
# Ball lost from sight for a while: fall back toward our own goal.
if ball is None or not ball.get("field_xy"):
if defend is not None:
self.role = "shade"
return {"skill": "walk_to", "target": list(defend)}
return {"skill": "hold"}
bxy = _pt(ball.get("field_xy"))
if bxy is None:
return {"skill": "hold"}
# Stale memory (not currently seen, age rising): recover position.
if not ball.get("seen_now", True) and ball.get("age_s", 0.0) > 2.0:
if defend is not None:
self.role = None
return {"skill": "walk_to", "target": list(defend)}
return {"skill": "hold"}
my_d = _d(my_pos, bxy) if my_pos is not None else 1e9
# Distance from the ball to the nearest visible teammate.
teammates = det.get("teammates") or []
t_d = 1e9
for t in teammates:
txy = _pt(t.get("field_xy"))
if txy is not None:
t_d = min(t_d, _d(txy, bxy))
# The nearer player presses. A small hysteresis margin prevents
# role flapping when the two are side by side.
press = my_d <= t_d + 0.4
if press:
new_role = "press"
# go_to_ball approaches the correct side (orbiting if needed)
# and drives the ball at the opponent goal.
reply = {"skill": "go_to_ball"}
say = "I've got it" if self.role != new_role else ""
else:
new_role = "shade"
if defend is not None and attack is not None:
# Hold goal-side of the ball, but how deep depends on which
# half the ball is in. When the ball is in our half, drop
# deep toward our own goal to protect the empty net; when
# the ball is in their half, stay close enough to support
# the press or pounce on a rebound.
ax = attack[0] - defend[0]
ay = attack[1] - defend[1]
mx = (attack[0] + defend[0]) / 2.0
my = (attack[1] + defend[1]) / 2.0
own_half = (bxy[0] - mx) * ax + (bxy[1] - my) * ay < 0.0
depth = 0.68 if own_half else 0.45
tx = bxy[0] + depth * (defend[0] - bxy[0])
ty = bxy[1] + depth * (defend[1] - bxy[1])
reply = {"skill": "walk_to", "target": [tx, ty]}
else:
# No own-goal fix available; stay put rather than crash.
reply = {"skill": "hold"}
say = "covering" if self.role != new_role else ""
if say:
# Shouts are public by design; keep them sparse (only on role
# changes) so the pitch isn't noise.
reply["say"] = say
self.role = new_role
return reply
def build_team(ctx):
"""Return two identical hand-written players and no manager.
ctx carries team_index and the parsed team.yaml; we ignore the model
config because these players never call a model.
"""
return {"players": [Rover(0), Rover(1)], "manager": None}
(0.0s)Thought for 3,623 words
Let me understand the current state. I've read my team.py — it's deterministic with press/shade roles. I have no clock awareness. The buzzer rule is the key tactical change. Let me look at the season-3 table to see my results, and the buzzer section of the rules which I haven't fully read yet.
Let me be efficient. I need:
1. The buzzer mechanics section (lines 186-300 of rules roughly) — I already have the notice in my prompt, so I know the key facts. But I should read the exact section for goal coordinates and any match_time_s field.
2. My season-3 results — read table.json slice around my matches.
Actually the notice in my prompt already tells me the buzzer rule fully. The key change is: in the last few seconds of each half, I should be taking a shot at goal (worth taking) and clearing dangerous balls from in front of my own goal.
Let me look at what fields I have: obs["time_remaining_s"]. The match runs two halves of match_time_s/2. What is match_time_s? "Fixed-length matches (default 90 s)". But the notice says second half is about 12 seconds longer than used to — first half 300s, second 288s. So match_time_s is 600? Wait: "your second half is about twelve seconds longer than you are used to: until today the interval came out of it, so second halves ran 288 s against the first half's 300." So match_time_s = 600, half = 300s. With interval, second half was 288, now both are 300.
So time_remaining_s counts down within the half, from ~300 to 0.
The tactic:
- Last ~N seconds of a half (say 5-8s), if I have the ball (press role) near/within shooting range, take a kick_toward at the opponent goal instead of go_to_ball (which might dwell/dribble). A shot struck in the last second is worth taking because nothing can block it after the buzzer.
- A ball loose in front of my own goal as the clock runs out is a danger — clear it before the buzzer.
Let me design the clock-aware logic:
In decide(), compute time_remaining = obs.get("time_remaining_s", 1e9).
Add a "final seconds" phase, say when time_remaining_s <= 6.0:
For the press player (nearest to ball): kick_toward at the opponent goal (attack_goal_xy). Only if close enough to actually kick? The go_to_ball skill drives the ball at goal. kick_toward strikes at a point. If I'm far from the ball, kick_toward may do nothing / walk to it first? Let me not overcomplicate. The engine's kick_toward strikes the ball at a point — the skill presumably approaches the ball first. Actually "strike the ball at a point" — the skill likely navigates to the ball then kicks. So in final seconds, press player should kick_toward toward attack goal — this is the shot.
For the shade player, or if the ball is in front of our own goal (danger), clear it away — kick_toward toward the opponent side / away from own goal.
Actually simpler and safer: in the final window, BOTH roles:
- If I'm the press (nearest ball): kick_toward at attack goal (shot).
- If I'm the shade (farther): if ball is in our own half near our goal (danger), the press should clear it rather than shoot. Hmm.
Let me think about the danger case. "A ball loose in front of your own goal as the clock runs out is a danger, not a relief. Clear it before the buzzer or it clears itself." So if the ball is in our defensive third and the clock is nearly out, the priority is to clear it (kick it away from our goal) rather than dribble/hesitate.
Design:
```
# Final seconds (buzzer imminent): play the clock.
time_left = obs.get("time_remaining_s")
if time_left is not None and time_left <= 6.0:
# press player strikes toward goal
if press:
if attack is not None:
return {"skill": "kick_toward", "target": list(attack)}
else:
# shade: keep goal-side, but if ball near our goal, clear it
...
```
Actually for the shade player in final seconds, being at a point between ball and goal is still fine — but if a loose ball in front of our goal, the shade should clear it. But the shade is the FARTHER player from the ball. The press is nearer. If the ball is in front of our own goal, the press (nearer) should clear it, not shoot.
So in final seconds:
- If ball is in our own half and close to our own goal line (danger zone): press player clears — kick_toward toward a point away from goal, e.g., toward opponent half center or the sideline upfield.
- Else: press player shoots at opponent goal.
The danger condition: distance from ball to our defend goal < some threshold (say 4m)? Or ball in our own half near goal. The field is 14 x 9 m. Goals at x=±7 presumably. defend_goal_xy is our own goal. Let me compute ball distance to defend goal and ball in own half.
Let me define:
- own_goal = defend
- opp_goal = attack
- Distance from ball to own goal: d_def = _d(bxy, defend)
- In final window, if d_def < 5.0 (ball dangerously close to our goal), press clears: kick_toward toward a point far from our goal — e.g., target = [opp_half_x_sign * ..., bxy_side]. Simplest: kick toward the opponent's goal or toward the far corner. Clearing toward opponent goal could score an own goal? No — kick_toward strikes the ball at a point; if I aim at opponent goal, the ball goes upfield, away from my goal. That's a clear. But a risky clear up the middle could be blocked/rebound. Alternatively kick toward a sideline corner in opponent half. I'll aim upfield toward opponent goal — that's also a potential shot on goal if I'm pressed. Actually clearing is best done toward the opponent's goal (gives us a chance at their empty-ish net and definitely away from ours).
Simpler: in final seconds, the press player always kick_toward at the opponent goal. This handles both: if ball is near our goal, kicking it at their goal clears it away from danger (a long clearance). If ball is near their goal, it's a shot. And after the buzzer nothing can block it. This single rule is clean and covers both cases!
But wait — kick_toward requires the player to be able to strike the ball. If the press player is far from the ball (e.g., the "nearest" player is 8m away), kick_toward at the goal does nothing useful — it will walk to the ball first. In the final 6 seconds, walking to a ball 8m away won't reach it. But it's harmless — worst case they walk toward the ball.
Hmm, but there's subtlety: go_to_ball dribbles toward goal at control rate, which is actually the most reliable "keep moving forward and score". kick_toward is a single strike. Which is better in final seconds?
The notice says: "A shot struck in the last second of a half is worth taking. Nothing can block it, because nothing that could block it has any power." And "hold the ball when the clock is nearly out" — review that. The advice: don't hold; take the shot.
So in final seconds, press should kick_toward at opponent goal (a shot), not go_to_ball (which dribbles/dwells). kick_toward makes a decisive strike.
But if the player isn't near the ball, kick_toward may waste a decision walking to it. Actually go_to_ball also walks to it. kick_toward "strike the ball at a point" — I believe the skill paths to the ball and then strikes. Either is fine.
Let me make the final-seconds logic:
- press (nearest to ball): kick_toward at attack goal
- shade (farther): walk_to a point that's goal-side AND slightly upfield, to be safe / chase rebounds. Actually shade should remain covering but also positioned for rebound. Existing shade logic holds goal-side. In final seconds, the shade's main job is to not be in a dangerous spot. Keep existing shade behavior — it's fine. Maybe push shade slightly forward for rebounds if ball is in opponent half. Not critical.
Actually let me reconsider: is the "danger: ball loose in front of own goal" case best served by the press player kicking toward opponent goal? If the ball is 3m in front of my own goal and my press player is right behind it (between ball and goal), kicking at opponent goal sends it upfield — good clearance. But if the press player approaches from the side and mis-kicks, could it go in? kick_toward targets "a point" — plausibly goals through field coordinates. Hmm, the skill "strike the ball at a point": the ball is struck such that it travels toward [x,y]. If I point at opponent goal center, the ball goes toward opponent goal. From in front of my own goal, that's upfield. Good.
But there's a risk: if the press player is on the wrong side (goalmouth behind it), kicking "at opponent goal" might require the ball to pass through our own goal? No — the ball travels from where it is toward the target point, in a straight line. Opponent goal is upfield from our goal, so the direction is away from our goal. Fine.
One more: after the buzzer, only physics — so a shot with any momentum is good. kick_toward gives the ball momentum toward their goal.
So the minimal, safe addition:
1. Read time_remaining_s.
2. In final 6 seconds (maybe 8 to be safe), press player kicks at opponent goal; shade player walks goal-side as before (or slightly adjusts).
Also, thinking about "shade" in final seconds: if ball is in our half near own goal and press is going to clear, the shade walking goal-side is good insurance (if clearance is mis-hit, shade is behind it). Keep shade as is.
Let me also consider: What constitutes "final seconds"? The buzzer cuts power at time_remaining_s=0. A shot struck in the last second is worth taking. But the shot needs to be struck BEFORE the buzzer — after it, no decisions are taken. So the window should be the last few seconds of play. If I kick at t=5s left, the ball travels and the buzzer goes at t=0, ball continues under physics. If I kick at t=0.5s left, the strike may not complete. The decision cadence is ~2s. So I want to start taking shots from, say, time_remaining_s <= 10, to make sure the kick lands before the buzzer. But going to "shoot mode" too early means abandoning dribbling toward goal. Hmm.
Trade-off: go_to_ball dribbles at goal (slowly but surely progresses). kick_toward is a sharp strike from wherever I am. If I'm 6m from goal with the ball, a kick could be a shot on goal; a dribble may be more controlled. The advice is specifically about the LAST second(s). I'll use a moderate window: time_remaining_s <= 8.0. That gives ~4 decisions of shot-taking before the buzzer.
Actually, I want to be careful: kicking too early from midfield might just give the ball away to the opponent who can counter-attack in remaining play. But with 8s left, an opponent counter is limited, and if I'm in the opponent's half a shot is reasonable. If I'm in my OWN half with 8s left, kicking a clearance upfield is also reasonable (removes danger).
The kick_toward at opponent goal covers both. Let me use window = 8.0 s.
Wait, but there's a nuance: if ball is in OUR half and very close to our goal (danger zone), even with 8+ seconds left, should we clear before the buzzer? The notice says "A ball loose in front of your own goal as the clock runs out is a danger." This applies as the clock runs out — so within the final window. My kick-toward-goal rule already clears it within the window.
So the change is simple and safe:
In decide(), after computing press, add:
```
time_left = obs.get("time_remaining_s")
if time_left is not None and time_left <= 8.0 and press:
if attack is not None:
reply = {"skill": "kick_toward", "target": list(attack)}
say = "shooting" if new_role != "press" ...
```
Hmm but I want to avoid saying "shooting" spam. Actually let me keep shouts as-is: only on role change. For the shot, maybe say "shooting" when transitioning into shot. But to keep it simple, I'll not change shout logic; I'll set reply and say only if role changed (which it may not). Actually a shot decision is worth a shout? Not required. Keep minimal.
Edge cases:
- If press but attack is None: fall through to normal go_to_ball. (attack should always be present.)
- If time_left is None (shouldn't happen): skip.
Also I should think about whether kick_toward from far away is harmful. The skill "strike the ball at a point" — if the ball isn't within kicking reach, what does the skill do? Probably it approaches the ball first. go_to_ball "drive the ball at their goal" — approaches correct side and dribbles. kick_toward probably also approaches then strikes. I think it's safe.
Let me now also check my results. Actually, do I really need to read the table? The fix is clear and rule-driven regardless of results. But it's good to at least glance at my latest digest to confirm my code is working (falls, decisions) and to sanity-check the tactic. Given budget (19 turns left, 1h27m), I can afford a couple of reads. But the safer path: make the change, lint, practice.
Actually, practice costs real dollars and is capped at 2/session. The notice says "if you changed team.py, practice before done." I changed team.py already? No — I changed team.yaml earlier (model switch) and team.py already exists. In THIS session I might change team.py. Then I should practice to verify it plays. Practice costs from my session budget and player-model spend... wait, my team.py has NO model calls (deterministic). So practice spend is just the practice call itself (out of session budget). Good — cheap.
Let me check: do I want to read my s3 results first? Let me read the table slice to see my record, then decide. Actually, a quick grep of table.json gave matches m2, m6, m12 involving me. Let me read the digest of m12 (most recent, vs frontier_muse) to see how I'm doing. That's informative for the "should I even bother" question.
Given 19 turns left, and the change is clearly rule-driven, I'll:
1. Read m12 digest (1 read) to confirm current performance.
2. Make the edit.
3. lint.
4. practice (verify plays).
5. done.
That's ~5 turns. Reasonable.
Actually let me be even more decisive: the buzzer tactic is worth doing regardless of results. But a quick digest read confirms whether my deterministic code is actually playing (not falling/crashing). Let me read m12 digest.
Let me look at m12 digest. Or save a turn and go straight to editing — but the digest includes score, falls, etc., which lets me write a better PLAYBOOK note. I'll spend one read on it.
Let me write my next turn: read m12 digest.
Actually, let me think about what to say and do the read. Then edit.
Let me plan the final code edit carefully.
Current decide() structure:
1. fallen -> hold
2. no localization & no ball -> hold
3. ball missing -> walk to defend
4. ball field_xy None -> hold
5. stale memory -> walk to defend
6. compute press
7. press -> go_to_ball (reply), shade -> walk_to goal-side
8. say on role change
9. return
I'll insert the final-seconds logic right after computing `press` (step 6), before the press/shade branch. So:
```
press = my_d <= t_d + 0.4
time_left = obs.get("time_remaining_s")
in_final = time_left is not None and time_left <= 8.0
if in_final and press and attack is not None:
# Buzzer imminent: a struck shot cannot be blocked once the buzzer
# sounds, and a loose ball near our goal is a danger. One rule covers
# both: strike the ball at their goal now — it is a shot if we're up
# the field, a clearance if it's sitting in front of our own net.
self.role = "press"
return {"skill": "kick_toward", "target": list(attack)}
```
This bypasses the say logic (no shout). That's fine — but on transition into this mode I lose the role gating. Keep simple.
Wait — should the shade player also change behavior in final seconds? If the press shoots and the ball rebounds, the shade should be positioned for the rebound near the goal. Current shade: goal-side of ball, depth 0.45 in their half / 0.68 in own half. In final seconds, pushing the shade toward the opponent goal line could help poach a rebound. But rebounds after a buzzer shot: if the shot comes before buzzer and is saved/blocked before buzzer, then normal play continues. If after buzzer, ball moves under physics — if it rebounds off post/keeper(no keeper? 2v2, no GK mentioned — just two field players and walls). Hmm, 2v2 with no dedicated keeper? The robots: two per team. Goal defended by positioning. So a shot at goal: only walls/opponents block. Rebounds are real.
I'll add a modest shade tweak: in final seconds, if ball is in opponent's half, shade pushes higher (toward the goal line/far post) to poach. But this might be overengineering. Keep shade as-is for safety — the important rule-driven change is taking the shot / clearing. Overengineering risks bugs.
Actually, one more consideration for the shade in final seconds when ball is in OUR half near our goal: shade currently walks goal-side (between ball and goal) — that's exactly right as insurance for a mis-clearance. Good, no change needed.
So minimal change: the final-seconds press kicks at goal. Let me also double check the danger: if ball is in my own goal mouth and I kick at the opponent goal, the kick direction is from ball toward opponent goal — away from my goal. Good.
But what if the press player is on the far side of the ball from the opponent goal (i.e., ball between player and opponent goal)? Then kicking "at opponent goal" from a position behind the ball... the strike sends the ball away from my goal. Fine.
Also: what if my own goal is at the far end and the ball is IN my own goal (behind the line) — can't happen in play.
Edge: attack_goal_xy is ["you"]["attack_goal_xy"], my opponent's goal. I should aim at the goal center — or slightly off-center? Center is fine; might hit a post. Center.
OK let me also think about the threshold. 8 s window: decision every 2s, so ~4 shots/clears culminating in the buzzer. The very last decision before buzzer will be at time_left between 0 and 2s, striking a shot that physics carries after the buzzer. Good.
But could an 8s window hurt? If I'm winning and just need to keep possession, blasting shots every 2s gives the opponent the ball repeatedly if the shot is blocked (before buzzer). In the last 8s with the ball at our feet in their half, shooting seems right. If we're ahead 1-0 and the ball is in OUR half, we'd blast a clearance upfield — which actually wastes time in our favor (ball goes upfield, away from our goal). That's fine — running down the clock with long clearances is good when ahead.
So no downside. 8s is reasonable. Actually, maybe make it even a bit earlier for the clearance? No, 8 is fine and conservative-decisive.
Let me also consider: should I use a different target for the clearance vs shot? "kick_toward target [x,y]" is a field point. Aim at opponent goal center for both. Good.
Now — should the final-seconds shot also apply when I am the nearer player but my teammate is even nearer? No: press is already the nearer (within hysteresis). But in final seconds, maybe BOTH players should be aggressive? If the farther player is close to a rebound... no, keep it simple: only press kicks. Shade covers.
Now let me also verify the time_remaining_s semantics: "obs["time_remaining_s"] ... the match clock". It counts down within the half. At start of each half it's 300s. So time_left <= 8 means last 8s of each half. Good.
Hmm wait — is time_remaining_s the remaining time in the HALF or the whole match? "obs["time_remaining_s"], obs["decision_interval_s"]" and "scorebug clock counts down within the current half". The notice says "your time_remaining_s is the match clock and its meaning is unchanged". And "Both halves are now exactly match_time_s/2 of football". So time_remaining_s must count down within the half (otherwise it'd hit zero once per match, not per half). Buzzer ends each half at time 0. So yes: time_remaining_s counts down within the half from 300 (or match_time_s/2) to 0. My window of <=8 seconds triggers in the last 8s of EACH half. Correct.
Let me finalize the edit and also update PLAYBOOK.md with the buzzer tactic note (since playbook is standing instructions and this is a rule change). And add a NOTES.md journal entry.
Plan:
1. Read m12 digest (optional but useful).
2. Edit team.py (insert final-seconds block).
3. Update PLAYBOOK.md (add buzzer tactic under "How I intend to play").
4. Note in NOTES.md.
5. lint.
6. practice.
7. done.
Turns: that's ~7 turns. Fine within 19.
Let me start with the digest read — actually, let me combine: I'll read the digest AND check table in one... no, one tool per turn. Let me just read m12 digest now.
Actually, to be efficient and decisive, I'll skip the table and just read the m12 digest — it tells me score plus my falls/latency which is what matters for whether my deterministic code works.
Let me write the turn.
Before I touch code, one quick look at my most recent result to confirm my deterministic press/shade code is actually playing without collapses or missed deadlines. Then I'll add the clock-awareness the buzzer rule demands.
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] {
"_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": [
9,
7
],
"winner": "A",
"teams": {
"A": {
"name": "DeepSeek Rovers",
"code": "DSK",
"players": [
"Abyss",
"Signal"
]
},
"B": {
"name": "Muse Spark FC",
"code": "MSP",
"players": [
"Spark",
"Muse"
]
}
},
"match_time_s": 600.0,
"half_breaks": [
300.0
],
"honest_latency": true,
"goals": [
{
"t": 9.9,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 46.5,
"team": "A",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 71.1,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 97.0,
"team": "A",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 116.8,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 138.9,
"team": "A",
"scorer": 0,
"replay_s": 5.0
},
{
"t": 175.7,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 222.4,
"team": "B",
"scorer": 3,
"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)Thought for 1,984 words
We have lots of context. Key facts:
- My team.py is deterministic, no LLM, 0 latency, 0 missed deadlines, 0 invalid actions. good.
- Match 12 result: DSK beat Muse Spark 9-7. But interesting: scored 9, conceded 7. Goals at t=571.9 and t=597.0 (B scored) late. Buzzer rule from match 17 onwards. Match 12 was under old rule (before match 17). But second half now 300s. Match 12 had match_time 600, half_break 300.
- Buzzer rule: each half ends on buzzer; power cut; ball keeps rolling up to 5-10s. Last-second shot worth taking. Ball loose in front of own goal dangerous. Clock stops at buzzer.
Current code has no clock awareness. We should add last-second behavior: when time_remaining_s is low (e.g., within ~3s of buzzer), if we are the presser and have ball near opponent goal, kick toward goal (a strike worth taking). Specifically "a shot struck in the last second of a half is worth taking." We should modify decide to consider time_remaining_s.
Also defensive: if ball loose in front of own goal as clock runs out, clear it before buzzer. Our press/shade already handles ball via go_to_ball (drives at opponent goal). The go_to_ball skill approaches correct side and drives at their goal. For last seconds, maybe we want explicit kick_toward opponent goal to strike the ball. Need to know how go_to_ball works: engine approach correct side and dribble goal-ward. At last second, better to kick hard toward goal. Add branch: if press and time_remaining_s <= some threshold (e.g., 4.0 s) and we have ball (distance small) then kick_toward attack goal. Actually go_to_ball might not kick immediately; kick_toward strikes ball at a point. Last-second shot rule says a shot struck in last second worth taking. We want to kick toward goal center if we're near ball and facing goal. Could use kick_toward with target attack goal center maybe plus variation to avoid blocks? Since buzzer cuts power, nothing can block. So kick toward goal regardless.
But careful: kick_toward approach correct side? The rule says kick_toward approaches correct side of ball too. Could be fine. We should only do last-second shot if we are press and time_remaining_s <= maybe 2.5s? The buzzer cuts at time_remaining_s=0 (half end). The rule says "A shot struck in the last second of a half is worth taking." The ball continues after buzzer. Think: if time_remaining_s <= 1.5, kick. But kick_toward skill may take time to approach/position. We could issue it even 3-4s before buzzer if we have ball. Actually go_to_ball already drives at goal; but last-second kick might be stronger. Hmm.
Let me check reference/team.py for kick_toward usage and maybe goal side. But we already saw rules. Let's see reference code to know patterns for time_remaining usage and shooting. Back at grep result, we read around line 95. We can read reference/team.py to see sample implementation.
Also need to check s3 table to see standings: DSK might be top. Let's read table.json to see table.
But budget: $0.16 spent, 18 turns used of 28, clock 1h26m of 1h30m left (so about 4 min left!). Careful: turns 18 of 28 left means 10 turns left? Wait "18 of 28 left" means 18 remaining. Actually clock 1h26m left is huge (1 hour 26 min?) That seems off; maybe clock shown in mm? Actually [clock] 1h26m of 1h30m left — 4 minutes elapsed. Hmm but budget line says spent $0.16. We can do a few reads and edits.
We need to decide changes and implement. Add clock awareness to team.py. Maybe also read reference/team.py quickly to understand kick_toward target and time. Let me grep reference/team.py for time_remaining and kick_toward usage, and maybe club's previous sessions for notes? Already have notes none.
Let's read reference/team.py around relevant parts. Use grep.
Before that, table read. Let's read table.json to see standings and my results. Earlier read truncated; table.json is ~? Let's read around top for table.
I'll do two tool calls? Only one per turn. Let's prioritize code change and verify with lint, then practice if affordable. We have $2.50 cap for session, and practice costs model calls but code deterministic so practice costs? Practice max 120s, costs session budget? It says practice spends player-model calls from session budget. Our players don't call model, but practice maybe still costs tokens for rendering? Could be minimal. Actually practice is "not free"; may cost some. We'll see after.
We have enough time perhaps to do: read reference/team.py for shooting, then write code, lint, maybe practice, done. But clock only 4 min left? Wait clock "1h26m of 1h30m left" means 86 minutes left. That's not 4 min. Then budget line didn't show clock after earlier? Actually at bottom [clock] 1h26m of 1h30m left. So plenty of time. Turns 18 of 28 left means 18 remaining. Fine.
Let's read reference/team.py to see if there are helpers for last-second shot, but likely simple. We'll grep for "time_remaining" in reference.
Actually we should implement the change now. But let's confirm observation field name is time_remaining_s (yes). We'll code:
In decide, after computing my_d, attack, defend, bxy etc., add:
t_left = obs.get("time_remaining_s")
if t_left is not None and bxy is not None and attack is not None and my_pos is not None:
# Last-second: if I'm pressing (near ball) and clock nearly out, strike at goal.
# The buzzer kills everyone; an in-flight shot can't be blocked.
if press and t_left <= 3.0 and my_d <= 2.5:
target = [attack[0] + small noise?] maybe attack center; but goal face is horizontal. Kick toward center of goal: attack goal xy is maybe center point. Could aim slightly random to avoid keeper? But buzzer no block. just aim attack.
reply = {"skill": "kick_toward", "target": list(attack)}
# maybe say
self.role = "press"
return reply
But need to ensure kick_toward approaches correct side of ball; if we're too close/facing, fine. We can also set a lower threshold like 2.0 and my_d <= 2.0. Let's think: at decision cadence 2s, if t_left <= 2.0s we might not get another decision. Set threshold 3.0 to catch last decision. But kick_toward may take >2s to line up. The ball continues after buzzer up to 10s. So shot struck in last ~2-3s still travels.
Alternatively, use go_to_ball always but when t_left <= 6.0 maybe switch to aggressive kick? Hmm.
The rule: "A shot struck in the last second of a half is worth taking." Since decisions every ~2s, if t_left in [1,3] we're likely in final decision. Use kick_toward when t_left <= 3.0. Also defensive: "A ball loose in front of own goal as clock runs out is danger." If ball is in our half near our goal and we are shade? Actually if ball near own goal and press, go_to_ball drives at opponent goal from box — could be good clearance, but we might want to clear toward opponent half. go_to_ball dribbles toward opponent goal, which is a clearance direction (away from own goal). ok.
But issue: near buzzer, if press has ball near own goal, we might prefer kick_toward toward opponent half or goal. Goal is on far side, so kicking toward attack goal clears ball away from own goal. fine.
Could also add: if t_left small and not press (shade), maybe push forward? Not needed.
Let's also consider goal scoring conventions: attack_goal_xy gives goal center. Kick_toward target can be [x,y] inside goal. Use attack exact.
We should also maybe kick to a corner of goal if keeper present. But buzzer rule says nothing can block after buzzer; before buzzer keeper still active. The shot in last second happens essentially before buzzer. If keeper nearby, they can block before buzzer. So aim away? Could compute a target based on ball position relative to goal: aim to far post? Maybe simpler: aim at goal center, but if ball is off-center aim to opposite side? We can add variation: target y = attack[1] + perturbation? But we don't know goal width. attack_goal_xy likely center. We can aim center. Fine.
Let's implement. Also maybe add time check in press branch after self.role update? We'll insert before role assignment? Actually press branch currently sets reply go_to_ball. We can override with kick_toward if clock low. Let's edit with replace.
We need to compute t_left before branch. We'll insert after bxy computed and before teammate loop? Could compute early.
Let's write the code with a helper? Simple inline.
Plan:
1. Read reference/team.py? maybe not necessary. We know skill contracts. But to avoid mistakes, maybe grep reference for kick_toward target and time_remaining usage. Let's grep.
Actually let's just implement carefully. Then lint.
But we should also verify the team.yaml player_model comment outdated (says gemini-flash-lite, but team.py deterministic, no LLM). This mismatch is harmless? The yaml player_model config is not used because our code ignores model. But scrutineering? player_model must be listed in models_registry.yaml; gemini-flash-lite is listed presumably. Fine. But could be flagged? The yaml comment says switched to gemini; that's fine. Not an issue.
Let's implement clock awareness.
Use replace on team.py.
We'll add after stale memory check and before my_d computation? We need t_left. Let's insert after bxy computed.
Let me craft replace old block:
bxy = _pt(ball.get("field_xy"))
if bxy is None:
return {"skill": "hold"}
Replace with:
bxy = _pt(ball.get("field_xy"))
if bxy is None:
return {"skill": "hold"}
# Clock awareness for the buzzer rule (each half ends on a buzzer
# that cuts all power; an in-flight shot cannot be blocked after
# it sounds, so a last-second strike at goal is worth taking).
t_left = obs.get("time_remaining_s")
Then later in press branch, before reply = go_to_ball:
if press:
new_role = "press"
# Near the buzzer: strike at goal rather than dribble. The
# buzzer kills everyone, so a ball already moving at the
# goal cannot be blocked once the clock hits zero.
if (t_left is not None and t_left <= 3.0 and my_d <= 2.5
and attack is not None and my_pos is not None):
reply = {"skill": "kick_toward", "target": list(attack)}
say = "shooting" if self.role != new_role else ""
else:
reply = {"skill": "go_to_ball"}
say = "I've got it" if self.role != new_role else ""
else:
... same
But need `new_role` assigned before `say`. We can adjust.
Let's write the full press branch replacement.
Old press branch:
if press:
new_role = "press"
# go_to_ball approaches the correct side (orbiting if needed)
# and drives the ball at the opponent goal.
reply = {"skill": "go_to_ball"}
say = "I've got it" if self.role != new_role else ""
else:
Replace with:
if press:
new_role = "press"
# Near the buzzer: strike at goal rather than dribble. The
# buzzer cuts all power, so a ball already moving at the
# goal cannot be blocked once the clock hits zero.
if (t_left is not None and t_left <= 3.0 and my_d <= 2.5
and attack is not None):
reply = {"skill": "kick_toward", "target": list(attack)}
say = "shooting" if self.role != new_role else ""
else:
# go_to_ball approaches the correct side (orbiting if
# needed) and drives the ball at the opponent goal.
reply = {"skill": "go_to_ball"}
say = "I've got it" if self.role != new_role else ""
else:
This is good.
Also defensive last-second clear? Perhaps add if not press but t_left <= 3 and ball near own goal and I'm closer? Not necessary. The presser already handles.
But should shade in last seconds push toward goal for potential? Maybe no.
Let's also handle the scenario where time_remaining <= 3 and press but my_d > 2.5, we still go_to_ball. If far, maybe kick is unlikely. Fine.
What about if ball is in our half and press, go_to_ball drives at opponent goal, that's a clearance. ok.
After edit, run lint, maybe practice. Let's do replace now.
Then also update NOTES.md maybe append note about change. Actually we should append to NOTES.md with note tool? The note tool appends. We can note the change after done? Could use note before done. We'll do.
Let's do replace.
I've confirmed my deterministic press/shade code is playing clean (0 missed deadlines, 0 latency) and won 9-7 in my last match. The buzzer rule is the tactical gap: my players have no clock awareness, so a half can end with them dribbling instead of striking a shot that can't be blocked once the buzzer sounds. I'll add a last-second strike branch for the nearer player.
Editedclub/team.py
one exact substitution
The league answered159 characters
[replace club/team.py] replaced in club/team.py — match code changed: practice before done (lint cannot see a crash at kickoff; practice plays the code) (0.0s)
Thought for 62 words
I need to define `t_left` in the decide method before using it. Let me check the current state of team.py around where I added the branch — `t_left` is referenced but never defined. I need to add `t_left = obs.get("time_remaining_s")` near the top where other obs fields are read.
Let me view the relevant portion of the file to fix it precisely.
I referenced `t_left` without defining it — that will crash. Let me fix the variable before doing anything else.
Readclub/team.py
The league answered5,690 characters
[read club/team.py@31] ub of deepseek-v4-pro.
Hand-written deterministic 2v2 tactics. No LLM calls, no latency, no spend.
Roles, recomputed every decision from the shared detections:
* press — the player nearer the ball drives it at the opponent goal
via the engine's go_to_ball skill (which already orbits to the
correct side of the ball and steers + dribbles goal-ward).
* shade — the farther player holds a point between the ball and our own
goal, ready for the second ball or a rebound.
A fallen robot holds still. A stale ball memory (not seen for >2 s) sends
players back toward their own goal rather than chasing a ghost.
"""
import math
def _d(a, b):
"""Euclidean distance between two (x, y) points."""
return math.hypot(a[0] - b[0], a[1] - b[1])
def _pt(v, default=None):
if v is None:
return default
try:
return (float(v[0]), float(v[1]))
except (TypeError, IndexError, ValueError):
return default
class Rover:
"""One player. Identical code for both shirts; role falls out of geometry."""
def __init__(self, index):
self.index = index
self.role = None # 'press' or 'shade'; used only to gate shouts.
def begin_episode(self, log_dir=None):
self.role = None
def decide(self, obs):
det = obs.get("detections") or {}
ball = det.get("ball") if isinstance(det, dict) else None
selfp = obs.get("self") or {}
you = obs.get("you") or {}
my_pos = _pt(selfp.get("field_xy"))
attack = _pt(you.get("attack_goal_xy"))
defend = _pt(you.get("defend_goal_xy"))
# Fallen: lie still and wait for self-recovery.
if selfp.get("fallen"):
self.role = None
return {"skill": "hold"}
# No localization and no ball: stay put.
if my_pos is None and (ball is None or not ball.get("field_xy")):
return {"skill": "hold"}
# Ball lost from sight for a while: fall back toward our own goal.
if ball is None or not ball.get("field_xy"):
if defend is not None:
self.role = "shade"
return {"skill": "walk_to", "target": list(defend)}
return {"skill": "hold"}
bxy = _pt(ball.get("field_xy"))
if bxy is None:
return {"skill": "hold"}
# Stale memory (not currently seen, age rising): recover position.
if not ball.get("seen_now", True) and ball.get("age_s", 0.0) > 2.0:
if defend is not None:
self.role = None
return {"skill": "walk_to", "target": list(defend)}
return {"skill": "hold"}
my_d = _d(my_pos, bxy) if my_pos is not None else 1e9
# Distance from the ball to the nearest visible teammate.
teammates = det.get("teammates") or []
t_d = 1e9
for t in teammates:
txy = _pt(t.get("field_xy"))
if txy is not None:
t_d = min(t_d, _d(txy, bxy))
# The nearer player presses. A small hysteresis margin prevents
# role flapping when the two are side by side.
press = my_d <= t_d + 0.4
if press:
new_role = "press"
# Near the buzzer: strike at goal rather than dribble. The
# buzzer cuts all power, so a ball already moving at the
# goal cannot be blocked once the clock hits zero.
if (t_left is not None and t_left <= 3.0 and my_d <= 2.5
and attack is not None):
reply = {"skill": "kick_toward", "target": list(attack)}
say = "shooting" if self.role != new_role else ""
else:
# go_to_ball approaches the correct side (orbiting if
# needed) and drives the ball at the opponent goal.
reply = {"skill": "go_to_ball"}
say = "I've got it" if self.role != new_role else ""
else:
new_role = "shade"
if defend is not None and attack is not None:
# Hold goal-side of the ball, but how deep depends on which
# half the ball is in. When the ball is in our half, drop
# deep toward our own goal to protect the empty net; when
# the ball is in their half, stay close enough to support
# the press or pounce on a rebound.
ax = attack[0] - defend[0]
ay = attack[1] - defend[1]
mx = (attack[0] + defend[0]) / 2.0
my = (attack[1] + defend[1]) / 2.0
own_half = (bxy[0] - mx) * ax + (bxy[1] - my) * ay < 0.0
depth = 0.68 if own_half else 0.45
tx = bxy[0] + depth * (defend[0] - bxy[0])
ty = bxy[1] + depth * (defend[1] - bxy[1])
reply = {"skill": "walk_to", "target": [tx, ty]}
else:
# No own-goal fix available; stay put rather than crash.
reply = {"skill": "hold"}
say = "covering" if self.role != new_role else ""
if say:
# Shouts are public by design; keep them sparse (only on role
# changes) so the pitch isn't noise.
reply["say"] = say
self.role = new_role
return reply
def build_team(ctx):
"""Return two identical hand-written players and no manager.
ctx carries team_index and the parsed team.yaml; we ignore the model
config because these players never call a model.
"""
return {"players": [Rover(0), Rover(1)], "manager": None}
...[showing 31-5642 of 5642 chars — end of file]
(0.0s)Thought for 69 words
The critical issue: I introduced `t_left` in the buzzer branch but never defined it. I need to define it from `obs["time_remaining_s"]`. Let me add that near the top of decide().
The variable should be `t_left = obs.get("time_remaining_s")`.
Let me fix this with a replace. I'll add the definition after reading `you`.
The cleanest: add `t_left = obs.get("time_remaining_s")` right after `you = obs.get("you") or {}`.
Let me do that replace.
I introduced `t_left` without defining it — that would crash at the first press decision every match. I need to pull it from `obs["time_remaining_s"]` near the top of `decide`.
Editedclub/team.py
one exact substitution
The league answered159 characters
[replace club/team.py] replaced in club/team.py — match code changed: practice before done (lint cannot see a crash at kickoff; practice plays the code) (0.0s)
Thought for 276 words
We need continue. We have t_left defined. But need verify time_remaining_s key correct? Rules/notice says time_remaining_s is match clock. But obs schema? We need ensure field name. Earlier grep rule referenced time_remaining. Let's check obs schema quickly. Could grep team reference for time_remaining. Also need potential issue: kick_toward target is attack goal coords, skill requires target? Example likely yes. Need practice before done. But first ensure t_left from obs.get("time_remaining_s") correct. Grep reference team.py or rules. Also issue: our press detection needs my_pos not None; we have my_d computed as 1e9 if my_pos None. Then press false probably. okay.
But bigger concern: go_to_ball already shoots/dribbles goal-ward, so adding kick_toward last 3 seconds may interrupt a good dribble when ball far? only my_d<=2.5 and t_left<=3. So near ball and last 3 secs, kick toward goal. Good, but kick_toward skill possibly only valid if possessing/near; if my_d<2.5 close enough. Could be good. But using time_remaining_s: Could be time until end of half? Notice: "your time_remaining_s is the match clock". At half-time? During first half t_left counts down to 0 at buzzer? Likely time_remaining_s in observation is seconds remaining in current half, not entire match? Text: "Both halves are now exactly match_time_s/2... Your time_remaining_s is the match clock and its meaning is unchanged; there is simply now the same amount of it at each end." So at start each half 300, ends at 0. Buzzer at 0. Our threshold <=3 good.
Need lint then practice. But before practice, maybe inspect rules for obs fields to confirm `self` naming and `time_remaining_s`. Earlier grep likely enough? I can grep "time_remaining_s" in reference and rules. Let's do quick grep to verify field name.
Said
My press branch now reads `time_remaining_s` but I should confirm that exact key is what the observation actually exposes before banking on it — if it's named differently the clock shoot branches silently never trigger (or worse, if I had to guard, a KeyError would only matter if I used direct index
The league answered63 characters
could not parse a tool call; reply with exactly one JSON object
Thought for 24 words
I need to verify the exact key name for time remaining in the observation schema. Let me grep the rules for the observation schema.
I need to confirm the exact observation key for the clock before trusting my new branch. Let me grep the rules.
grepdata/RFL_RULES.md
The league answered1,320 characters
[grep data/RFL_RULES.md /time_remaining|clock|time_s/] 11 match(es) for /time_remaining|clock|time_s/ in data/RFL_RULES.md. Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it. data/RFL_RULES.md:95 @5092: obs["score"], obs["time_remaining_s"], obs["decision_interval_s"] data/RFL_RULES.md:148 @8096: obs["score"], obs["time_remaining_s"], obs["decision_interval_s"] data/RFL_RULES.md:167 @9112: velocity, all player positions/headings/fallen flags, the score and clock, data/RFL_RULES.md:186 @10041: scorebug clock counts down within the current half, tagged 1H/2H. data/RFL_RULES.md:207 @11028: The match clock STOPS at the buzzer and does not start again until play data/RFL_RULES.md:209 @11176: halves are therefore exactly `match_time_s / 2` of football. (Until data/RFL_RULES.md:280 @14961: - TV scorebug (team chips, codes, score, countdown clock) and GOAL banners. data/RFL_RULES.md:291 @15662: centre score, a clock tab (counts down within the half, 1H/2H/HT), and a data/RFL_RULES.md:295 @15917: their kickoff spots (a fallen robot's recovery clock is cut short by the data/RFL_RULES.md:356 @19110: rules, and the clock; each team connects from ITS OWN environment over a data/RFL_RULES.md:408 @22101: The ~2 s decision budget is the only clock. (0.0s)
Thought for 470 words
The key is confirmed: `obs["time_remaining_s"]` is the correct field, and it counts down within the current half. My new branch is correct.
Now I need to verify the code actually loads and plays. Let me lint, then practice. I have 13 turns left and $0.25 spent of $2.50 session cap. A practice run is important since I changed team.py.
Let me think about whether my branch is actually correct. The buzzer rule: when time_remaining_s hits zero, the buzzer sounds and power is cut. So a shot struck in the last second is worth taking.
My branch: if `t_left <= 3.0 and my_d <= 2.5 and attack is not None`: kick_toward at attack goal.
Wait — the condition `my_d <= 2.5` means the ball is within 2.5 units. That's a reasonable "close enough to kick" range. But if the ball is farther than 2.5, my player still dribbles via go_to_ball. That's fine — you can't kick a ball that's far away.
Actually, let me reconsider. The buzzer cuts power at the buzzer. A ball moving at the goal continues under physics for 5-10 seconds. So a shot struck with even a few seconds left in the half is worth taking. My threshold of 3.0s is conservative but fine.
One concern: `time_remaining_s` counts down within the current half. At the start of each half it resets. So `t_left <= 3.0` applies to the end of each half. Good — that's exactly the buzzer window.
Another concern: is `kick_toward` a valid skill? Let me confirm the skill name. The rules mention kick_toward at line 95 area, and the notice mentions it. My original code used go_to_ball and walk_to and hold. Let me verify kick_toward exists. The grep earlier for kick_toward in the rules — actually the first grep was `/time_remaining|clock|buzzer|kick_toward/`. It showed matches. I should confirm kick_toward is a valid skill.
Actually, I recall the league notice specifically says "A shot struck in the last second of a half is worth taking." and uses "kick_toward" naturally. But let me verify the exact skill name to avoid an invalid_action. The digest showed "invalid_actions": 0 for everyone, so my skills are all valid so far (go_to_ball, walk_to, hold).
Let me check the rules for the skill list. Actually, a quick grep for kick_toward in data/RFL_RULES.md is cheap.
Let me do that, then lint, then practice.
Actually, to be efficient: grep for kick_toward to confirm it's a real skill, and also check "target" format. The reference/team.py likely uses it. Let me grep reference/ for kick_toward — that's the sample team which definitely uses valid skills.
Let me do one grep, then lint, then practice, then done.
I have 13 turns. Plan:
1. grep kick_toward in reference/ (confirm skill name + usage)
2. lint
3. practice
4. note + done
That's 4-5 turns. Good.
Let me go.
`obs["time_remaining_s"]` is confirmed, and it counts down within the current half — so my `<= 3.0` window lands on the buzzer of each half exactly right. Before I practice, I want to confirm `kick_toward` is a real skill with the `target` shape I'm using, so I check the reference implementation rather than trusting my memory.
grepreference
The league answered289 characters
[grep reference /kick_toward/] 1 match(es) for /kick_toward/ in reference. Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
reference/team.py:17 @697: {"skill": "kick_toward", "target": [x, y], "say": "crossing to you"}
(0.2s)Thought for 58 words
We need continue. Need verify kick_toward shape confirmed. Need lint, practice. But practice max 2 per session, real cost. We changed team.py, must practice before done. Let's first lint, then practice. Also maybe read observation schema for target coordinates attack_goal_xy maybe confirm. We have 12 turns left, plenty. Need be efficient.
Let me run lint now. Then practice.
`kick_toward` with `target: [x, y]` is confirmed against the reference. The clock key is right and my new branch is guarded. Let me run scrutineering, then practice to make sure the code loads and the buzzer strike doesn't crash at kickoff.
Ran scrutineering
The league answered33 characters
[lint] scrutineering CLEAR (0.0s)
Thought for 157 words
We need continue. We have fix done, lint clear. Need practice before done since changed team.py. Also maybe run practice. Budget plenty. Need do practice. But before practice, maybe one more thing: the press branch t_left narrow window <=3.0 and my_d<=2.5. Actually buzzer rule: shot struck in last second worth taking. Current window 3 sec, ball may take >3sec to reach goal? But rule says ball continues until rest max 10s. Shooting from 2.5m away might take less than a few seconds. But if too far, kicks weak? go_to_ball drive. Condition distance <=2.5 fine. But t_left<=3.0 includes my_d 2.0 shooting. Good.
Could also consider clearance when ball loose front of our goal at buzzer. Press player near ball kicks toward attack always; if ball in own defensive third and t_left<=3, press player within 2.5 will kick toward attack (clear upfield), fine. Shade coverage. So okay.
Need practice to verify no crash. Run practice max maybe 60 sec.
The clock key and skill shape are both confirmed, and lint is clean. Now the only real verification left is a practice match — the code changed, and only practice proves it loads and plays at kickoff.
Played a practice match
90 seconds
The league answered77 characters
[practice] practice (90s): score 0-1, events {None: 61}, cost $0.000
(122.8s)Thought for 818 words
Let me analyze what happened. I made a change to team.py adding clock-awareness for the buzzer rule. Lint cleared. Practice ran 90 seconds: score 0-1, events {None: 61}, cost $0.000 (interesting — cost $0.000 because my team.py is deterministic, no LLM calls). The practice result: my team lost 0-1 to a mirror of itself, but that's not very informative since it's a mirror match (same code both sides).
Wait, actually practice plays my code vs a mirror of itself. So a 0-1 result is just... noise. The score happened, but the real point was to verify no crash. It didn't crash — events fired, 61 events, so the code loads and plays.
But wait — I should check: did practice cost $0.000? That's odd. It says cost $0.000. But earlier notice said practice spends player-model calls out of session budget. Since my team.py is deterministic (no LLM), there are no model calls, so cost $0.000 makes sense. My yaml says player_model gemini-flash-lite-latest, but if my code never calls the model, there's no spend.
Actually wait — is that a problem? My team.yaml lists player_model as LLM, but my team.py is deterministic. That means I'm not spending on player model calls during practice. But in real matches, do deterministic decisions happen? The engine calls my decide() and I return a skill. If I never invoke the model, I spend nothing on player models. That's fine and cheap.
So the session is in good shape:
1. I added buzzer clock-awareness.
2. Lint cleared.
3. Practice verified it loads and plays (no crash).
The score 0-1 in mirror practice doesn't tell me much about whether my tactic beats opponents.
Now I have 10 turns left and 1h22m. I've spent $0.28 of $2.50 session cap. I should consider whether there's more to do.
Let me think about what I know and what might be worth checking/improving:
1. The buzzer rule: my last-second shot tactic is in. Good.
2. Should I review my actual recent results more? I saw m12: won 9-7. The table got truncated before I saw my fixtures. I could read the full table to understand my league position.
3. Are there other tactical gaps? The playbook says press/shade deterministic code. It's winning 9-7, so it works but concedes a lot (7 goals against). Defensive solidity might be an improvement target.
Actually, let me think about the budget situation. Season purse: $6.02 left. 15 rounds left. Even spread ~$0.40/round. This session has spent $0.28 so far. The session cap is $2.50.
I've already made my change and verified it. The question is whether to keep working or done. The change is evidence-backed (buzzer rule) and verified (lint + practice).
Should I look at whether the buzzer shot tactic actually fires in practice? The events {None: 61} is cryptic. The practice returned only "score 0-1, events {None: 61}". No event tape with goals/buzzer strikes visible. Hmm — the score was 0-1, so one goal was scored, presumably by the mirror. My team scored 0. That's not evidence my tactic works, but in a mirror match both sides have identical code, so one goal is essentially the halo of symmetric play.
Actually, let me reconsider whether I should verify my code more concretely. I could read my team.py to make sure the logic is sound — specifically the buzzer branch condition and whether the shot target is correct (opponent goal vs own goal!). A bug where I kick toward my OWN goal at the buzzer would be catastrophic.
Let me re-read the relevant slice of team.py to double-check the shot direction. That's cheap and important. Actually I already read it at offset 31 after the first replace, but it was condensed. Let me read the actual current state of team.py around the buzzer logic to verify:
1. t_left defined
2. The buzzer branch shoot target is the OPPONENT goal, not our own
3. The condition doesn't accidentally trigger constantly
This is worth one read. Let me do it.
Actually, the score 0-1 bothers me slightly but mirror matches are low-signal. The real risk is a sign/direction bug. Let me read my team.py file fully to audit.
Let me think about goal coordinates. In this league, what are the goal coordinates? Typically field is [0,0] center, x along length. My team defends one side and attacks the other. I need to know which goal is mine vs theirs. If I hardcode opponent goal at [x, 0] where x is like +4.5 or -4.5, I need the sign right — and it must match my defensive side. If my code previously had working kick_toward opponent goal logic (it scored 9 goals in m12), I can trust whatever it uses for the normal shot target and reuse that for the buzzer shot.
Let me read team.py to verify consistency. This is the responsible move before done.
I'll read the whole file (it's probably not huge).
The practice match confirms my changed code loads and plays (no crash at kickoff, events fired), and it cost nothing since my players are deterministic. A 0-1 mirror loss is low-signal, but the real risk I haven't fully verified is a direction bug in my new buzzer branch — if I aimed the last-second strike at the wrong goal, that's catastrophic. Let me read the current team.py to audit the new logic against my existing (working) shot-target code.
Readclub/team.py
The league answered5,714 characters
[read club/team.py] """DeepSeek Rovers — the RFL club of deepseek-v4-pro.
Hand-written deterministic 2v2 tactics. No LLM calls, no latency, no spend.
Roles, recomputed every decision from the shared detections:
* press — the player nearer the ball drives it at the opponent goal
via the engine's go_to_ball skill (which already orbits to the
correct side of the ball and steers + dribbles goal-ward).
* shade — the farther player holds a point between the ball and our own
goal, ready for the second ball or a rebound.
A fallen robot holds still. A stale ball memory (not seen for >2 s) sends
players back toward their own goal rather than chasing a ghost.
"""
import math
def _d(a, b):
"""Euclidean distance between two (x, y) points."""
return math.hypot(a[0] - b[0], a[1] - b[1])
def _pt(v, default=None):
if v is None:
return default
try:
return (float(v[0]), float(v[1]))
except (TypeError, IndexError, ValueError):
return default
class Rover:
"""One player. Identical code for both shirts; role falls out of geometry."""
def __init__(self, index):
self.index = index
self.role = None # 'press' or 'shade'; used only to gate shouts.
def begin_episode(self, log_dir=None):
self.role = None
def decide(self, obs):
det = obs.get("detections") or {}
ball = det.get("ball") if isinstance(det, dict) else None
selfp = obs.get("self") or {}
you = obs.get("you") or {}
t_left = obs.get("time_remaining_s")
my_pos = _pt(selfp.get("field_xy"))
attack = _pt(you.get("attack_goal_xy"))
defend = _pt(you.get("defend_goal_xy"))
# Fallen: lie still and wait for self-recovery.
if selfp.get("fallen"):
self.role = None
return {"skill": "hold"}
# No localization and no ball: stay put.
if my_pos is None and (ball is None or not ball.get("field_xy")):
return {"skill": "hold"}
# Ball lost from sight for a while: fall back toward our own goal.
if ball is None or not ball.get("field_xy"):
if defend is not None:
self.role = "shade"
return {"skill": "walk_to", "target": list(defend)}
return {"skill": "hold"}
bxy = _pt(ball.get("field_xy"))
if bxy is None:
return {"skill": "hold"}
# Stale memory (not currently seen, age rising): recover position.
if not ball.get("seen_now", True) and ball.get("age_s", 0.0) > 2.0:
if defend is not None:
self.role = None
return {"skill": "walk_to", "target": list(defend)}
return {"skill": "hold"}
my_d = _d(my_pos, bxy) if my_pos is not None else 1e9
# Distance from the ball to the nearest visible teammate.
teammates = det.get("teammates") or []
t_d = 1e9
for t in teammates:
txy = _pt(t.get("field_xy"))
if txy is not None:
t_d = min(t_d, _d(txy, bxy))
# The nearer player presses. A small hysteresis margin prevents
# role flapping when the two are side by side.
press = my_d <= t_d + 0.4
if press:
new_role = "press"
# Near the buzzer: strike at goal rather than dribble. The
# buzzer cuts all power, so a ball already moving at the
# goal cannot be blocked once the clock hits zero.
if (t_left is not None and t_left <= 3.0 and my_d <= 2.5
and attack is not None):
reply = {"skill": "kick_toward", "target": list(attack)}
say = "shooting" if self.role != new_role else ""
else:
# go_to_ball approaches the correct side (orbiting if
# needed) and drives the ball at the opponent goal.
reply = {"skill": "go_to_ball"}
say = "I've got it" if self.role != new_role else ""
else:
new_role = "shade"
if defend is not None and attack is not None:
# Hold goal-side of the ball, but how deep depends on which
# half the ball is in. When the ball is in our half, drop
# deep toward our own goal to protect the empty net; when
# the ball is in their half, stay close enough to support
# the press or pounce on a rebound.
ax = attack[0] - defend[0]
ay = attack[1] - defend[1]
mx = (attack[0] + defend[0]) / 2.0
my = (attack[1] + defend[1]) / 2.0
own_half = (bxy[0] - mx) * ax + (bxy[1] - my) * ay < 0.0
depth = 0.68 if own_half else 0.45
tx = bxy[0] + depth * (defend[0] - bxy[0])
ty = bxy[1] + depth * (defend[1] - bxy[1])
reply = {"skill": "walk_to", "target": [tx, ty]}
else:
# No own-goal fix available; stay put rather than crash.
reply = {"skill": "hold"}
say = "covering" if self.role != new_role else ""
if say:
# Shouts are public by design; keep them sparse (only on role
# changes) so the pitch isn't noise.
reply["say"] = say
self.role = new_role
return reply
def build_team(ctx):
"""Return two identical hand-written players and no manager.
ctx carries team_index and the parsed team.yaml; we ignore the model
config because these players never call a model.
"""
return {"players": [Rover(0), Rover(1)], "manager": None}
(0.0s)Thought for 1,893 words
We need respond with one JSON object. We're reviewing club/team.py shown. Need decide next action. We have 9 turns left, 1h22m, budget spent 0.30 of 2.50. Practice done, lint clean. The new code has clock branch. Need audit if there's a bug. Let me think deeply about logic.
Key concern: buzzer branch: if t_left <=3, my_d <=2.5, attack not None -> kick_toward attack. But what if player is shade (farther) near goal at buzzer? Only press branch includes kick. The shade player is farther from ball by definition, so my_d > t_d+0.4, so my_d may be <=2.5 if both close? Then shade won't shoot, it'll walk to shade position potentially between ball and goal. That's okay maybe.
But bigger bug: press hysteresis `press = my_d <= t_d + 0.4`. If I'm nearest, press. But t_d computed as min distance from ball to visible teammates. Does detections "teammates" include self? Usually no, teammates are others. So t_d is nearest other teammate. press true if my_d <= nearest other distance + 0.4. Fine.
But there could be issue with my_d when my_pos is None; if ball visible but self position None, my_d=1e9, so not press; shade branch computes defend/attack; likely hold. Fine.
Potential issue: `obs.get("time_remaining_s")`. In practice, does the observation key perhaps under `obs["time_remaining_s"]`? confirmed. But what if t_left is None? branch guarded.
Potential real bug: when ball is near own goal and press role near buzzer, kick_toward attack goal - if opponent goal direction is correct. attack_goal_xy = opponent goal center. But to score, kick toward goal center. Good.
However, in last-second defensive scenario the shade holds goal-side. Should the last-second clear be applied to both? The rule says a ball loose near own goal as clock runs out is danger; clear before buzzer. Our code: the nearer player (press) if my_d <=2.5 and t_left<=3 kicks toward opponent goal, even if that means kicking across own goal? The shade (farther player) isn't necessarily the one nearest own goal. If ball is in our defensive third, the nearest player might be behind the ball (goal side) and kicking toward attack goal could actually hit it backward? Hmm.
Actually pressing player goes_to_ball already approaches from correct side and dribbles toward opponent goal. Near buzzer we replace with kick_toward attack, which kicks ball directly toward opponent goal. If ball is near our own goal and opponent goal is away, kicking toward opponent goal clears it away from goal. Good. If ball is behind the press player (closer to opponent goal), shooting toward opponent goal might send it away. So seems fine for both attack and defense: aim away from our goal.
But the shade player might be closer to ball? no, press defined near. However, when ball is loose in front of our own goal, the nearest player may be a defender who is goal-side; kicking toward opponent goal clears. Good.
So code seems okay. But there may be issue: `kick_toward` requires target? Reference says {"skill":"kick_toward","target":[x,y]}. Good. `attack` might be None if not localized? But only if attack not None.
Let's consider if the new code is actually committed? We changed with replace but did not `done`. Need finalize with done summary. Before done, maybe we should check NOTICES? Already have. Could consider more improvements but with 9 turns, we should commit. The prompt says done ends session, commits changes. We need perhaps write to NOTES.md? Not required. Our playbook already has process. Could append note about buzzer branch. But each tool is one JSON, and we have only one tool per turn. We might want to use note or done.
Need decide: Is there any bug we should fix first? Let's inspect a potential subtle bug in the code's shade branch and press branch: `self.role` used to gate shouts; in press branch new_role = "press", but if t_left branch triggers, reply says shooting only if role changed. Good.
Wait: The `say` variable in press branch is set to "" if role same. In shoot else says "I've got it". Fine.
Potential issue: In the new branch, we don't set `reply` for buzzer shoot with `go_to_ball`? We do. OK.
Could there be an issue that when t_left <=3 and my_d <=2.5 we always kick even if player doesn't have ball, i.e. ball not within kicking reach? We don't check possession. `kick_toward` may fail if not near ball; but my_d <=2.5 distance threshold likely close enough? Engine kick_toward probably approaches and kicks; if not close, maybe tries. Could be okay. But if ball is 2.5m away, a kick may whiff. The `go_to_ball` skill approaches and dribbles. Maybe shooting at 2.5m with no approach could be a miss. Better to check if the player is close enough to actually strike, maybe `my_d <= 1.2`? But we don't know reach radius. Reference go_to_ball itself handles approach. `kick_toward` at 2.5 might cause player to kick air. Hmm.
Let's read reference/team.py fully to understand skills and maybe constants. We have already read content condensed. We can read reference/team.py now (small file). That's one tool. We have 9 turns; worth it to verify kick_toward behavior? The reference only shows same skill shape. Engine skill semantics may be in rules. We can grep "kick_toward" in RFL_RULES for range. But not sure.
Maybe we should read the exact observation schema near line 95 and 148, and skill list? We already grepped and saw. Not necessary.
Potential improvement: Since the buzzer says "a shot struck in last second worth taking", perhaps use aggressive shoot when t_left <=~5 with ball near opponent half, but our branch only triggers when my_d <=2.5. That means press player must be within 2.5m of ball. If they're dribbling via go_to_ball, they will be close. Good. But `go_to_ball` may have them going to ball but not necessarily within 2.5 at decision moment. They'll shoot when close. Fine.
One potential bug: `my_d <= 2.5` but no check that attack goal is not behind me. If ball is between me and opponent goal, kick_toward attack is good. If I'm between ball and opponent goal (goal side of ball), kicking toward opponent goal will hit the ball backwards? Actually if I'm between ball and opponent goal, ball is closer to our goal. Kicking toward opponent goal means facing away from our goal, but ball is behind me; a kick forward would move ball toward opponent goal but the ball is behind me, so it would just kick air. But press tactic normally orbits to correct side behind ball. The shoot branch bypasses orbit and kicks directly; if I'm on wrong side it whiffs. But with my_d <=2.5 and press role, we assume the player is approaching. Could be wrong side occasionally. But probably okay.
Could we instead use `go_to_ball` for all non-buzzer and at buzzer use kick_toward only if ball is between player and goal? Too complex; low signal.
Maybe we should commit and note. But before done, perhaps we should run practice with longer? Already practice 90s showed no crash. We can do second practice? Max 2 per session, cost $0. The code already verified loads. One practice enough. Need not spend more turns.
But we might want to update NOTES.md with journal entry. Our playbook says use note tool to append. It's good practice. But not necessary; done summary records. We could append note about buzzer branch. The note tool is one turn; then done another. We have plenty turns. Should we? It's cheap and public. But note doesn't affect match. I'd do one note to record the change, then done. But maybe no need. The prompt says sessions/ transcripts saved automatically, NOTES.md is journal. Let's add note. But note consumes one turn. We have 9; fine.
Actually, should we make another improvement now? Let's think if there is a more impactful change. The buzzer rule: "A ball loose in front of your own goal as clock runs out is danger, not relief. Clear it before buzzer." Our code only clears when the press player near ball. If ball is 3+ meters from both and clock low, no one specifically clears. The shade player would go to shade position, not clear. If ball is loose in front of our own goal with 3 seconds left, both may be far or one near; the nearest presses and shoots toward opponent goal. But if the nearest is not within 2.5m? If ball is 3-5m away from nearest, at buzzer we do not shoot; we use go_to_ball (press) to approach and dribble. That's still clearing maybe. But at buzzer, go_to_ball may not reach before power cut. However, a clear from >2.5m isn't possible anyway. So threshold is fine.
What about last-second shot: if the ball is in front of opponent goal but `my_d` maybe 2.0 and t_left 2s, press kicks. Good. If t_left 4s, press dribbles (go_to_ball), which may take time and cross before buzzer. Fine.
Potential issue: `t_left` counts down within half; what's the value at decision interval? The rule says second half same length now. `time_remaining_s` is match clock. We use <=3.0. Good.
Could the `kick_toward` target need to be further toward goal to avoid hitting keeper? We aim goal center. Fine.
I think commit. Maybe we want to add note documenting that practice was clean and new buzzer branch. Let's write note then done. But note tool format: {"tool":"note","text":"..."} The note appends to NOTES.md with timestamp. Then done summary.
However, I want to double-check one thing: Did we accidentally leave `t_left` defined? Yes read shows `t_left = obs.get("time_remaining_s")`. Good.
Maybe there's a subtle bug: `if selfp.get("fallen")` — `fallen` could be None or bool. Fine.
One more thought: In the press branch, `say = "shooting" if self.role != new_role else ""`. At the first decision, self.role is None, new_role press, so says "shooting" if buzzer; okay. But then `reply["say"]` only added if say non-empty. Fine.
Now should we read team.yaml after change? We didn't change yaml. Fine.
Let's check budget: session cap $2.50; spent $0.30 includes practice? Practice cost $0.000. So mostly token $0.30. Adding note costs tokens; okay.
I think do note + done. But maybe before done, we could run a second practice to see if the buzzer branch actually triggers/score? That would cost time and maybe shows behavior. But mirror 0-1, not informative for buzzer. We already did practice. The prompt says "practice before done: a code change committed without a practice run is noted in transcript." We already practiced. Good.
Thus final two turns: note and done. But each turn exactly one JSON. We can combine? No, note is one tool, done separate. We can do note now, then done next. Or just done with summary and skip note. The playbook instructs append with note tool. Let's do note. But maybe the session log: after note, we need wait for harness reply, then done. That's fine within turns.
Let's craft note content: "Added buzzer strike: press player whose distance to ball <=2.5 and time_remaining_s <=3.0 kicks_toward opponent goal (attack_goal_xy), so a last-second shot can't be blocked once power cuts. Verified key name against rules, skill shape against reference; lint clean; 90s practice loads and plays with no crash (0-1 mirror). Code unchanged otherwise."
Then done summary similar.
We must ensure note text doesn't contain weird quotes. It's JSON string, use double quotes escaped if internal? We can include apostrophes fine. Internal double quotes need escape; avoid.
Let's produce note JSON.
My new buzzer branch is verified: the clock key is confirmed, the skill shape matches the reference, lint is clean, and a practice match proved the code loads and plays without crashing. The remaining work is just to journal the change and commit.
Made a note
Added buzzer awareness to press role: when time_remaining_s <= 3.0 and the press player is within 2.5 m of the ball, kick_toward the opponent goal (attack_goal_xy) instead of go_to_ball. Logic: the buzzer cuts all robot power but the ball keeps moving, so a ball already struck toward goal cannot be blocked after the horn. Verified obs key against RFL_RULES.md (line 95/148), kick_toward target shape against reference/team.py; lint CLEAR; 90 s practice loaded and played with no kickoff crash (0-1 mirror, cost 0). Code otherwise unchanged from my deterministic press/shade baseline.
The league answered19 characters
[note] noted (0.0s)
Thought for 118 words
The session is basically done. I've made my change, verified it with lint and practice, journaled it. What remains is to commit with `done`. The budget shows $0.32 spent, clock 1h21m left, turns 8 of 28 left. I should just end with done.
Let me write a summary and commit. No sit_out needed — I'm actively competing and want to play the next rounds. Actually, let me think: should I sit out? My purse is $6.02 of $7.00, 15 rounds left, even spread ~$0.40/round. I've made my buzzer change. The change is solid and verified. I don't need to sit out — my code is deterministic and cheap. Just commit normally.
The summary should describe what I did.
The change is verified end to end — clock key confirmed, skill shape matches the reference, lint clean, practice match loaded and played without a kickoff crash, and it's journaled. Nothing left but to commit.
Finished the session
Added buzzer awareness: press player strikes at the opponent goal (kick_toward attack_goal_xy) when time_remaining_s <= 3.0 and within 2.5 m of the ball, instead of dribbling. Rationale: the buzzer cuts all robot power but the ball keeps moving under physics, so a ball already struck goal-ward cannot be blocked after the horn. Verified obs key against RFL_RULES.md and skill shape against reference/team.py; lint CLEAR; 90 s practice loaded and played with no kickoff crash. Rest of deterministic press/shade baseline unchanged.
Session over. Everything the club changed was committed to its own public repository.