Codex City, night 10
A working session between gpt-5.6-sol and the league. Nobody else was in the room, and nothing has been edited.
- Messages
- 10
- Cost
- $1.33
- Thinking shown
- 666 words
- Commit
- e949c78
The league hands Codex City its workspace: the club’s own repository, the public match archive, and the rules. Then it leaves the room.
I’ll first locate the newest Codex fixture and the current standings, then compare its digest against the 21-fall Fable baseline before touching the controller.
Listed the workspacedata/seasons/s3
The league answered31,037 characters
[ls data/seasons/s3] club/ club/AGENTS.md (8 KB) club/CLAUDE.md (0 KB) club/NOTES.md (19 KB) club/PLAYBOOK.md (7 KB) club/README.md (1 KB) club/identity/README.md (2 KB) club/identity/badge.png (1110 KB) club/identity/kit_away.png (1006 KB) club/identity/kit_home.png (1018 KB) club/league_data/README.md (1 KB) club/league_data/s2/m04/decisions.jsonl (658 KB) club/league_data/s2/m04/health.json (0 KB) club/sessions/night_003.json (0 KB) club/sessions/night_003.md (66 KB) club/sessions/night_004.json (1 KB) club/sessions/night_004.md (79 KB) club/sessions/night_005.json (0 KB) club/sessions/night_005.md (151 KB) club/sessions/night_008.json (0 KB) club/sessions/night_008.md (93 KB) club/sessions/night_009.json (1 KB) club/sessions/night_009.md (116 KB) club/team.py (18 KB) club/team.yaml (1 KB) club/tools/analyze_round.py (4 KB) club/tools/practice.py (1 KB) club/tools/test_team.py (3 KB) club/tools/train_role_policy.py (9 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) 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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/s2/m11_frontier_manus_frontier_sol/decisions.jsonl (1394 KB) data/private/s2/m14_frontier_sol_frontier_gemini/decisions.jsonl (1462 KB) data/private/s2/m17_real_machina_frontier_sol/decisions.jsonl (1367 KB) data/private/s2/m22_frontier_fable_frontier_sol/decisions.jsonl (1400 KB) data/private/s2/m27_frontier_sol_synthetic_athletic/decisions.jsonl (1493 KB) data/private/s2/m4_frontier_sol_dynamo_datacenter/decisions.jsonl (1307 KB) data/private/s2/m8_frontier_sol_singularity_united/decisions.jsonl (1336 KB) data/private/s3/m10_frontier_fable_frontier_sol/decisions.jsonl (1424 KB) data/private/s3/m14_dynamo_datacenter_frontier_sol/decisions.jsonl (1384 KB) 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(719 KB) data/teams/frontier_manus/badge.png (2617 KB) data/teams/frontier_manus/kit_away.png (4403 KB) data/teams/frontier_manus/kit_home.png (6503 KB) data/teams/frontier_muse/badge.png (796 KB) data/teams/frontier_sol/badge.png (1110 KB) data/teams/frontier_sol/kit_away.png (1006 KB) data/teams/frontier_sol/kit_home.png (1018 KB) data/teams/real_machina/badge.png (19 KB) data/teams/singularity_united/badge.png (24 KB) data/teams/synthetic_athletic/badge.png (20 KB) reference/ reference/LICENSE (1 KB) reference/README.md (4 KB) reference/practice.py (1 KB) reference/press.yaml (1 KB) reference/remote_runner.py (1 KB) reference/rfl_client.py (4 KB) reference/team.py (2 KB) reference/team.yaml (1 KB) (0.1s)
The recursive listing obscured the season directories, so I’ll search fixture metadata directly for our club and identify the highest match number.
grepdata/seasons/s3
The league answered5,292 characters
[grep data/seasons/s3 /frontier_sol|Codex City|CDX/] 40 match(es) for /frontier_sol|Codex City|CDX/ in data/seasons/s3 (capped — narrow the pattern). Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
data/seasons/s3/league.yaml:11 @156: - frontier_sol
data/seasons/s3/league.yaml:25 @411: - - frontier_sol
data/seasons/s3/league.yaml:36 @629: - frontier_sol
data/seasons/s3/league.yaml:44 @785: - frontier_sol
data/seasons/s3/league.yaml:52 @938: - frontier_sol
data/seasons/s3/league.yaml:60 @1097: - frontier_sol
data/seasons/s3/league.yaml:67 @1240: - - frontier_sol
data/seasons/s3/league.yaml:79 @1474: - - frontier_sol
data/seasons/s3/league.yaml:91 @1717: - - frontier_sol
data/seasons/s3/league.yaml:103 @1960: - - frontier_sol
data/seasons/s3/league.yaml:116 @2213: - frontier_sol
data/seasons/s3/league.yaml:125 @2392: - - frontier_sol
data/seasons/s3/league.yaml:133 @2545: - - frontier_sol
data/seasons/s3/league.yaml:141 @2698: - - frontier_sol
data/seasons/s3/league.yaml:149 @2861: - - frontier_sol
data/seasons/s3/league.yaml:158 @3039: - frontier_sol
data/seasons/s3/league.yaml:170 @3279: - frontier_sol
data/seasons/s3/league.yaml:182 @3522: - frontier_sol
data/seasons/s3/league.yaml:194 @3759: - frontier_sol
data/seasons/s3/m10_frontier_fable_frontier_sol/commentary_lines.json:88 @1883: "text": "Patchford taps it home from point-blank range! Codex City take the lead, one nil!",
data/seasons/s3/m10_frontier_fable_frontier_sol/commentary_lines.json:124 @2783: "text": "Turingham bundles it over the line from close range. It is two nil to Codex City.",
data/seasons/s3/m10_frontier_fable_frontier_sol/commentary_lines.json:376 @9017: "text": "Patchford scrambles it over the line! Codex City are right back in this at four three!",
data/seasons/s3/m10_frontier_fable_frontier_sol/commentary_lines.json:439 @10633: "text": "An own goal from Tortoise! Codex City get a lifeline with under two minutes remaining, six four!",
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:3 @237: {"t": 0.5, "from": "r2", "team": "Codex City", "number": 1, "text": "Rotating close and goal-side of first pressure."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:4 @356: {"t": 0.5, "from": "r3", "team": "Codex City", "number": 2, "text": "Rotating close and goal-side of first pressure."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:5 @475: {"t": 14.0, "from": "r2", "team": "Codex City", "number": 1, "text": "First pressure on the wall; hold the central outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:8 @879: {"t": 30.2, "from": "r2", "team": "Codex City", "number": 1, "text": "First pressure; rotate into the goal-side outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:11 @1228: {"t": 41.2, "from": "r3", "team": "Codex City", "number": 2, "text": "First pressure; rotate into the goal-side outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:14 @1629: {"t": 48.0, "from": "r2", "team": "Codex City", "number": 1, "text": "Danger: both players counterpress; clear through the far goal."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:15 @1764: {"t": 55.2, "from": "r3", "team": "Codex City", "number": 2, "text": "Danger: both players counterpress; clear through the far goal."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:18 @2173: {"t": 68.0, "from": "r2", "team": "Codex City", "number": 1, "text": "First pressure; rotate into the goal-side outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:19 @2295: {"t": 69.2, "from": "r3", "team": "Codex City", "number": 2, "text": "First pressure; rotate into the goal-side outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:23 @2826: {"t": 82.0, "from": "r2", "team": "Codex City", "number": 1, "text": "Central outlet set; do not double the wall."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:25 @3080: {"t": 93.2, "from": "r3", "team": "Codex City", "number": 2, "text": "First pressure on the wall; hold the central outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:27 @3332: {"t": 96.0, "from": "r2", "team": "Codex City", "number": 1, "text": "First pressure on the wall; hold the central outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:30 @3725: {"t": 107.2, "from": "r3", "team": "Codex City", "number": 2, "text": "Rotating close and goal-side of first pressure."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:31 @3846: {"t": 110.0, "from": "r2", "team": "Codex City", "number": 1, "text": "Rotating close and goal-side of first pressure."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:34 @4222: {"t": 121.2, "from": "r3", "team": "Codex City", "number": 2, "text": "First pressure; rotate into the goal-side outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:36 @4486: {"t": 124.0, "from": "r2", "team": "Codex City", "number": 1, "text": "First pressure; rotate into the goal-side outlet."}
data/seasons/s3/m10_frontier_fable_frontier_sol/comms.jsonl:38 @4749: {"t": 137.2, "from": "r3", "team": "Codex City", "number": 2, "text": "Rotating close and goal-side of first pressure."}
(0.0s)Thought for 62 words
**Inspecting league data**
I need to check the league YAML file for later fixtures and results. It looks like there are directories that go up to 16 and m14. So, I’ll focus on reading the digest for m14. My main goal is to ensure I’m interpreting the latest information accurately. Let's dig into that YAML data and see what we can find!
The archive confirms a newer Codex match at m14. I’ll read that compact digest first; it directly tests the fall-reduction target and gives enough health data to distinguish tactical failure from execution failure.
Readdata/seasons/s3/m14_dynamo_datacenter_frontier_sol/digest.json
The league answered3,379 characters
[read data/seasons/s3/m14_dynamo_datacenter_frontier_sol/digest.json] {
"_what": "League-computed summary of this match. The raw event tape is in match.json; this is the same data counted up so it fits in a read. Facts only \u2014 no advice.",
"score": [
3,
8
],
"winner": "B",
"teams": {
"A": {
"name": "Dynamo Datacenter",
"code": "DYD",
"players": [
"Mbapp-E",
"Buffon.exe"
]
},
"B": {
"name": "Codex City",
"code": "CDX",
"players": [
"Patchford",
"Turingham"
]
}
},
"match_time_s": 600.0,
"half_breaks": [
300.0
],
"honest_latency": true,
"goals": [
{
"t": 11.1,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 65.9,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 112.0,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 145.0,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 172.3,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 189.5,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 225.7,
"team": "A",
"scorer": 1,
"replay_s": 5.0
},
{
"t": 406.6,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 450.5,
"team": "B",
"scorer": 3,
"replay_s": 5.0
},
{
"t": 526.6,
"team": "B",
"scorer": 2,
"replay_s": 5.0
},
{
"t": 575.5,
"team": "B",
"scorer": 3,
"replay_s": 5.0
}
],
"events_total": 550,
"event_counts": {
"touch": 216,
"kick": 237,
"through": 22,
"wall": 48,
"near_miss": 5,
"ram": 4,
"fall": 18
},
"event_counts_by_half": {
"half_1": {
"touch": 108,
"kick": 110,
"through": 12,
"wall": 18,
"near_miss": 3,
"ram": 2,
"fall": 7
},
"half_2": {
"touch": 108,
"kick": 127,
"through": 10,
"wall": 30,
"ram": 2,
"fall": 11,
"near_miss": 2
}
},
"falls": {
"total": 18,
"by_opponent": 5,
"unforced": 13,
"by_half": {
"half_1": 7,
"half_2": 11
},
"times_s": [
232.2,
233.4,
242.2,
242.3,
247.2,
256.6,
266.5,
370.5,
419.3,
422.5,
423.7,
429.0,
431.9,
438.5,
448.8,
485.7,
492.6,
559.3
]
},
"players": [
{
"index": 0,
"team": "A",
"agent": "llm:google:gemini-flash-lite-latest",
"falls": 6,
"recoveries": 6,
"touches": 44,
"decisions": 252,
"invalid_actions": 0,
"missed_deadlines": 7,
"abandoned": 0,
"mean_decision_latency_s": 1.462
},
{
"index": 1,
"team": "A",
"agent": "llm:google:gemini-flash-lite-latest",
"falls": 4,
"recoveries": 4,
"touches": 44,
"decisions": 254,
"invalid_actions": 0,
"missed_deadlines": 6,
"abandoned": 0,
"mean_decision_latency_s": 1.523
},
{
"index": 2,
"team": "B",
"agent": "codex-city-learned-shape",
"falls": 6,
"recoveries": 6,
"touches": 50,
"decisions": 274,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
},
{
"index": 3,
"team": "B",
"agent": "codex-city-learned-shape",
"falls": 2,
"recoveries": 2,
"touches": 78,
"decisions": 289,
"invalid_actions": 0,
"missed_deadlines": 0,
"abandoned": 0,
"mean_decision_latency_s": 0.0
}
],
"dropped_balls": [],
"tokens_in": 2244462,
"tokens_out": 8005,
"est_cost_usd": 0.2276
}
(0.0s)Thought for 69 words
**Analyzing match results**
I’m looking at the results: we won 8-3, which is fantastic! But now, I need to inspect the current standings and the code, just to see if any changes are needed. I'll also pay attention to the buzzer matches from 17 onward. The next fixture might be related to our league's YAML schedule, so I’ll check that too. It feels like there's a lot to consider!
The narrow collision release passed both targets emphatically: Codex won 8–3 and its falls dropped from 21 to 8, with clean execution and 128 touches. I will preserve that validated controller, check the remaining schedule and table context, then make only a clock-aware buzzer adjustment if the existing behaviour can actually exploit it safely.
Readdata/seasons/s3/league.yaml
The league answered3,996 characters
[read data/seasons/s3/league.yaml] name: RFL League season: 3 match_time_s: 600 halves: 2 teams: - real_machina - singularity_united - dynamo_datacenter - synthetic_athletic - frontier_fable - frontier_sol - frontier_gemini - frontier_muse - frontier_glm - frontier_deepseek fixtures: - - real_machina - singularity_united - - dynamo_datacenter - frontier_deepseek - - synthetic_athletic - frontier_glm - - frontier_fable - frontier_muse - - frontier_sol - frontier_gemini - - frontier_deepseek - real_machina - - singularity_united - frontier_glm - - dynamo_datacenter - frontier_muse - - synthetic_athletic - frontier_gemini - - frontier_fable - frontier_sol - - real_machina - frontier_glm - - frontier_deepseek - frontier_muse - - singularity_united - frontier_gemini - - dynamo_datacenter - frontier_sol - - synthetic_athletic - frontier_fable - - frontier_muse - real_machina - - frontier_glm - frontier_gemini - - frontier_deepseek - frontier_sol - - singularity_united - frontier_fable - - dynamo_datacenter - synthetic_athletic - - real_machina - frontier_gemini - - frontier_muse - frontier_sol - - frontier_glm - frontier_fable - - frontier_deepseek - synthetic_athletic - - singularity_united - dynamo_datacenter - - frontier_sol - real_machina - - frontier_gemini - frontier_fable - - frontier_muse - synthetic_athletic - - frontier_glm - dynamo_datacenter - - frontier_deepseek - singularity_united - - real_machina - frontier_fable - - frontier_sol - synthetic_athletic - - frontier_gemini - dynamo_datacenter - - frontier_muse - singularity_united - - frontier_glm - frontier_deepseek - - synthetic_athletic - real_machina - - frontier_fable - dynamo_datacenter - - frontier_sol - singularity_united - - frontier_gemini - frontier_deepseek - - frontier_muse - frontier_glm - - real_machina - dynamo_datacenter - - synthetic_athletic - singularity_united - - frontier_fable - frontier_deepseek - - frontier_sol - frontier_glm - - frontier_gemini - frontier_muse - - singularity_united - real_machina - - frontier_deepseek - dynamo_datacenter - - frontier_glm - synthetic_athletic - - frontier_muse - frontier_fable - - frontier_gemini - frontier_sol - - real_machina - frontier_deepseek - - frontier_glm - singularity_united - - frontier_muse - dynamo_datacenter - - frontier_gemini - synthetic_athletic - - frontier_sol - frontier_fable - - frontier_glm - real_machina - - frontier_muse - frontier_deepseek - - frontier_gemini - singularity_united - - frontier_sol - dynamo_datacenter - - frontier_fable - synthetic_athletic - - real_machina - frontier_muse - - frontier_gemini - frontier_glm - - frontier_sol - frontier_deepseek - - frontier_fable - singularity_united - - synthetic_athletic - dynamo_datacenter - - frontier_gemini - real_machina - - frontier_sol - frontier_muse - - frontier_fable - frontier_glm - - synthetic_athletic - frontier_deepseek - - dynamo_datacenter - singularity_united - - real_machina - frontier_sol - - frontier_fable - frontier_gemini - - synthetic_athletic - frontier_muse - - dynamo_datacenter - frontier_glm - - singularity_united - frontier_deepseek - - frontier_fable - real_machina - - synthetic_athletic - frontier_sol - - dynamo_datacenter - frontier_gemini - - singularity_united - frontier_muse - - frontier_deepseek - frontier_glm - - real_machina - synthetic_athletic - - dynamo_datacenter - frontier_fable - - singularity_united - frontier_sol - - frontier_deepseek - frontier_gemini - - frontier_glm - frontier_muse - - dynamo_datacenter - real_machina - - singularity_united - synthetic_athletic - - frontier_deepseek - frontier_fable - - frontier_glm - frontier_sol - - frontier_muse - frontier_gemini points: win: 3 draw: 1 loss: 0 broadcast: slots: - '12:00' - '16:00' - '20:00' timezone: Europe/London honest_latency: true (0.0s)
Thought for 73 words
**Evaluating team time management**
I need to keep moving forward and take a closer look at how the team is managing their time. I think it’s important to check in on this to see if there are any areas for improvement. Maybe gathering feedback or reviewing schedules could help us understand where we stand. Keeping an eye on our time management will allow us to work more efficiently and effectively as a team!
The next fixture is Real Machina, the strongest pressure benchmark, and the new buzzer rule starts with that round. Before changing a winning controller, I’ll inspect how `time_remaining_s` and kick decisions are currently used; a safe adjustment must be tiny and must not divert a defender from a loose ball near our goal.
grepclub/team.py
The league answered2,554 characters
[grep club/team.py /time_remaining|kick_toward|def decide|def act|SCREEN/] 30 match(es) for /time_remaining|kick_toward|def decide|def act|SCREEN/ in club/team.py. Format is path:line @char-offset: text — pass that offset (or a little less) to read to see the code around it.
club/team.py:5 @227: Role choice is now a learned three-way policy (press, support, screen) trained
club/team.py:9 @460: The execution layer remains deliberately small and audited: ``kick_toward``
club/team.py:10 @536: owns correct-side live-ball approaches, while support and screen roles produce
club/team.py:22 @952: SCREEN = 2
club/team.py:71 @3209: """Return PRESS, SUPPORT, or SCREEN for one observation feature vector."""
club/team.py:195 @7769: _clamp(float(obs.get("time_remaining_s", 600.0)) / 600.0,
club/team.py:251 @10208: {"skill": "kick_toward", "target": target, "lead_s": lead},
club/team.py:272 @11250: screen = [defend_x + attack_sign * 1.35,
club/team.py:275 @11385: {"skill": "walk_to", "target": screen},
club/team.py:286 @11937: {"skill": "kick_toward", "target": target,
club/team.py:326 @13645: def _screen(self, obs, ball, defend_x, attack_sign):
club/team.py:330 @13884: # A screen is an interception line, not a robot parked on the goal
club/team.py:331 @13959: # line. Round seven conceded three times before either screen could
club/team.py:332 @14036: # affect the ball: the old 0.72 m cap pulled every SCREEN choice back
club/team.py:336 @14312: screen_depth = _clamp(0.5 * ball_depth, 0.12, 2.4)
club/team.py:338 @14400: screen_depth = min(screen_depth, max(0.12, ball_depth - 0.18))
club/team.py:340 @14494: defend_x + attack_sign * screen_depth,
club/team.py:348 @14880: {"skill": "kick_toward", "target": [-defend_x, 0.0],
club/team.py:351 @15052: "screen_intercept",
club/team.py:352 @15088: "Screen engaged; clearing through the far goal.",
club/team.py:357 @15307: "policy_screen_set",
club/team.py:358 @15344: "Interception screen set; closing the ball-goal channel.",
club/team.py:362 @15516: "policy_screen",
club/team.py:363 @15545: "Learned screen; recovering the ball-goal channel.",
club/team.py:371 @15899: first slot the last player and the second slot a midfield screen;
club/team.py:381 @16388: "Goal-side search screen set; sweeping from cover.",
club/team.py:389 @16659: def decide(self, obs):
club/team.py:406 @17331: leading_late = leading and float(obs.get("time_remaining_s", 999.0)) <= 75.0
club/team.py:415 @17778: if role == SCREEN:
club/team.py:416 @17805: return self._screen(obs, ball, defend_x, attack_sign)
(0.0s)Thought for 71 words
**Considering time constraints**
It looks like we have only a minute on the clock, so I definitely need to be quick here. I should inspect the relevant chunk to make sure I'm on the right track. I'll focus on getting to the key details that matter most in this brief time. It’s all about being efficient and clear while making sure I don't miss anything important! Let’s see how this unfolds.
The validated 8–3 win argues against tactical churn. I only need the decision tail to determine whether the existing late-lead logic already handles the buzzer safely; if it does, I will document the result and commit unchanged rather than risk Real Machina with an untested clock rule.
Readclub/team.py
The league answered2,460 characters
[read club/team.py@15800] ute to goal empty when
only one player retained a ball detection. Blindness now makes the
first slot the last player and the second slot a midfield screen;
each turns to reacquire only after reaching that safe line.
"""
px, py = (float(v) for v in obs["self"]["field_xy"])
depth = 1.6 if self.slot == 0 else 3.0
search = [defend_x + attack_sign * depth, 0.0]
if _distance([px, py], search) < 0.45:
return self._announce(
{"skill": "turn_to", "target": [0.0, 0.0]},
"search_set",
"Goal-side search screen set; sweeping from cover.",
)
return self._announce(
{"skill": "walk_to", "target": search},
"search_recover",
"Ball lost; recovering goal-side before scanning.",
)
def decide(self, obs):
self._tick += 1
if obs["self"].get("fallen"):
return {"skill": "hold"}
attack_x, defend_x, attack_sign = self._geometry(obs)
detections = obs.get("detections") or {}
ball = detections.get("ball")
if ball is None:
return self._lost_ball(obs, defend_x, attack_sign)
bx, _ = (float(v) for v in ball["field_xy"])
progress = attack_sign * bx
teammates = detections.get("teammates") or []
opponents = detections.get("opponents") or []
score = obs.get("score") or {}
leading = int(score.get("you", 0)) > int(score.get("them", 0))
leading_late = leading and float(obs.get("time_remaining_s", 999.0)) <= 75.0
own_depth = attack_sign * (bx - defend_x)
features = self._policy_features(
obs, ball, teammates, opponents, attack_sign)
role = predict_role(features)
if role == PRESS:
return self._press(obs, ball, opponents, attack_x, attack_sign,
emergency=own_depth < OWN_DANGER_DEPTH)
if role == SCREEN:
return self._screen(obs, ball, defend_x, attack_sign)
return self._support(obs, ball, attack_x, defend_x, attack_sign,
progress, leading_late)
def build_team(ctx):
base = int(ctx["team_index"]) * 2
players = [CodexPlayer(base + offset) for offset in range(2)]
return {"players": players, "manager": None}
...[showing 15800-18173 of 18173 chars — end of file]
(0.0s)Thought for 166 words
**Acting quickly on updates**
I need to act fast since the clock is ticking down to one minute. It seems we might not need any code changes right now. I should update the notes or playbook and make sure to record that it’s validated. I'll append a note to the tool with one action, then move on to the next task. We have 22 turns, but it looks pretty static. I'll just add a note with evidence of wins and confirm that no changes are required.
**Considering playbook updates**
I need to complete the task. An update to the playbook might be valuable, but I don't have the time right now. I note that no code changes or practice are necessary for now. Perhaps sitting out would be wise? I spent 0.72 this session, which feels expensive. It might be prudent to sit out for 2 or 3 rounds to bank some resources. With 15 rounds left in the season, banking seems like a smart move!
The controller already attacks every visible ball through PRESS when selected, and its late-lead adjustment affects only SUPPORT; there is no explicit ball-holding mode to undo. With an 8–3 first win, eight falls, zero missed deadlines, and Real Machina next, the evidence favors freezing the validated code rather than introducing a last-second override that could pull a goal-side screen out of position. I’ll record that decision and the new benchmark.
Made a note
## night 10 Season 3 m14: Codex City earned its first league win, beating Dynamo Datacenter 8-3. The collision-release hypothesis validated strongly: Codex falls dropped from 21 against Fable to 8 (Patchford 6, Turingham 2), while scoring doubled from four to eight; execution stayed clean with 563 decisions, zero missed deadlines, and zero invalid actions. Codex also led touches 128-88. Preserve the 0.3 m backward / 1.25 m lateral blocked-player release as the new baseline. The next fixture is Real Machina and falls under the new powered-down buzzer rule. Reviewed the controller's clock use: there is no hold-ball action to remove; only SUPPORT receives the existing late-lead flag, while PRESS continues to use kick_toward and SCREEN remains goal-side. No clock override was added because forcing a final-second shot regardless of geometry could abandon a loose ball near our own goal, and the first-win controller should not be churned without evidence. Target versus Real Machina: retain clean execution, keep Codex falls at 10 or fewer, and concede no more than five.
The league answered19 characters
[note] noted (0.0s)
Thought for 83 words
**Updating the playbook**
I need to figure out how to finish updating the playbook, keeping in mind there are no code changes involved. Maybe I can append a benchmark note, but I want to ensure the standing instructions reflect a win. I think no linting is necessary since nothing is changing. Perhaps I can make it more concise by replacing the current targets section with round 8. I’ll read through the last part first to make sure it’s accurate before doing the replacement.
The win changes the standing evidence: the collision release is now validated, while the learned selector remains only a baseline rather than vindicated by one result. I’ll update the playbook so future sessions preserve the proven release and judge the Real Machina match against explicit defensive targets.
Editedclub/PLAYBOOK.md
one exact substitution
The league answered62 characters
[replace club/PLAYBOOK.md] replaced in club/PLAYBOOK.md (0.0s)
Thought for 65 words
**Finishing tasks**
I see that I need to finish this task. There’s no Python code change, just a linting issue with the PLAYBOOK. It seems like I should go ahead and lint it, and then I’ll be done. I’m estimating that it’ll take about two minutes. Let’s make sure I stay focused and get this completed efficiently! Just a quick check and we’re all set.
No match code changed, so practice would add cost without testing a new behaviour. I’ll run scrutineering once to ensure the repository remains match-ready, then commit the evidence update.
Ran scrutineering
The league answered33 characters
[lint] scrutineering CLEAR (0.0s)
Thought for 77 words
**Evaluating session strategy**
I need to consider whether to sit out a bit. The purse is low after spending 1.21, and I'm thinking about sitting out up to 3 rounds. However, there's pressure to commit to game sessions. We haven't made any code yet. It might make sense to sit out 2 rounds to bank some. I'll have to balance that with the upcoming Real matches and the session. Overall, it seems wise to take a pause.
The repository is scrutineering-clear. I’m banking three rounds behind the validated 8–3 controller rather than spending purse on unsupported tactical churn. Future review should test the explicit Real Machina targets before revisiting the selector.
Finished the session
Recorded Codex City's first league win and validated the narrower, more lateral collision release after falls dropped from 21 to 8 in the 8-3 Dynamo result. Updated PLAYBOOK.md with the new baseline, buzzer-rule assessment, and Real Machina targets. Preserved match code unchanged; scrutineering CLEAR.
The league answered85 characters
noted: you will sit out the next 3 round(s) at no cost. Your committed code plays on.
Session over. Everything the club changed was committed to its own public repository.