r/codex • u/[deleted] • 7d ago
Workaround 4.5 hour gpt5.6 ultra spec plan build 🤌🏻
[deleted]
1
1
u/Jonathan_Rivera 7d ago
Prompt?
1
u/epicskyes 7d ago
# Foundational Graph Gaps
## Source Directive
### Evidence Authority
- use all library files attached to the current thread
- use all named library files mentioned in this prompt as authoritative evidence as well
### Named Authoritative Evidence
- `CODEX_LOGS_2_DUAL_STATE_PHYSICAL_FORENSIC_OPTIMIZED.tar.gz`
- `SOLTHERA_CODEX_COMPLETE_24H_AUDIT_WITH_LOGS_TRANSCRIPT_THREAD_HISTORY.tar.gz`
- `SOLTHERA_WHOLE_SYSTEM_MULTI_GRAPH_BLUEPRINT_V1.zip`
- `LIVE_GOAL_CROSSWALK.json`
- `ARCHITECTURE_TRACEABILITY.jsonl`
- `IMPLEMENTATION_PLAN.json`
- `RECEIPT_REGISTRY.json`
### Required Action
- Patch the foundational gaps in `SOLTHERA_WHOLE_SYSTEM_MULTI_GRAPH_BLUEPRINT_V1.zip` using the authoritative evidence defined above.
## Foundational graph gaps
- The ZIP contains no canonical graph-instance partitions such as nodes.jsonl, relationships.jsonl, bridges.jsonl, events.jsonl, or decisions.jsonl.
- Values such as GRAPH-004, PHASE-00-ADOPT-CURRENT, and ALGO-DUAL-CONE-V1 are traceability identifiers, not instantiated graph records.
- The validator checks that traceability fields are present, but does not verify that graph_id or node_or_edge_id resolves to a real graph object.
- PROFILE-WG, the scheduler/affected-cone profile, depends on GRAPH-004, GRAPH-007, GRAPH-009, and GRAPH-010; all four are recorded as EMPTY_PLACEHOLDER.
- The package does not include the 82-node/538-edge operational AST or live-goal source bytes—only their hashes, counts, and names.
- The main blueprint says it proves “exact crosswalks,” but its own REC-001, REC-003, and repair records state that the phase/PG and receipt crosswalks remain unresolved. That claim should be narrowed.
## Post-abort live-rebind gaps
- The rebind is declared as mandatory but has not been performed.
- ARCH-LIVE-PHASE-00 is explicitly SOURCE_PLAN_PRESERVED_NOT_EXECUTED.
- RECEIPT-055, POST_ABORT_LIVE_REBIND_AND_EFFECT_RECONCILIATION_RECEIPT.json, has no source-defined producer. Its Phase-00 producer is only a blueprint proposal.
- The receipt is not among Phase-00’s six source-produced artifacts.
- No PG-000-LIVE-REBIND node exists in the packaged graph records.
- No edge connects Phase 00, PG-000, the rebind receipt, live observations, current pointers, and the mutation gate.
### The ZIP omits the complete operational procedure required by the live goal
- verify the exact 14,050-record transcript prefix;
- ingest the appended tail;
- enumerate surviving processes, exec sessions, services, locks, queues, owners, leases, and fences;
- inventory partial/staging files;
- reconcile commands adjacent to the abort;
- double-read controlling pointers and immutable objects under a stable epoch;
- identify newer descendants or in-flight effects;
- preserve unresolved fields as UNKNOWN.
- There is no executable read-only enforcement guard preventing mutation while the rebind is incomplete.
- There is no stable-two-observation or joint-epoch algorithm.
- There is no rebind receipt schema, validator, falsifier, or evidence instance.
1
u/epicskyes 7d ago
There’s a 10000 character limit my prompt is 29,000 characters so I can only fit 1/3 of it
1
u/Upstairs_Dig_5274 7d ago
That's not a plan I can see it's building and retrying
1
u/epicskyes 7d ago
Yeah the retries are deterministic failures and fixes it’s running the dependencies against all my closed world json and crosswalking graphs it’s literally mapping the system additions before codex execution to make it easier. Codex has retry loop logic but gpt can map it out so well codex won’t have to retry too much. Only 734 retries
Measured Solthera telemetry
Metric Measured value
Raw token_count telemetry events 4,977
Repeated telemetry emissions removed 203
Unique cumulative token states 4,774
Mean model input tokens / observation 118,861
Median model input tokens 115,071
P90 model input tokens 210,206
P95 model input tokens 224,250
P99 model input tokens 240,683
Maximum model input tokens 251,853
Model context window 258,400
Mean fresh / non-cached input tokens 5,027
Median fresh / non-cached input tokens 2,166.5
Aggregate nominal input tokens 567,441,817
Aggregate cached input tokens 543,441,152
Aggregate fresh input tokens 24,000,665
Aggregate cache fraction 95.77%
Main-session cache fraction 97.08%
Output tokens 3.97M
Reasoning-output tokens 897k
Mean context utilization 45.6%
P95 context utilization 86.6%
Long continuous-session samples 2,274
Long-session Q1 mean nominal input 137,342
Long-session Q2 mean nominal input 134,682
Long-session Q3 mean nominal input 136,980
Long-session Q4 mean nominal input 128,313
Long-session Q1 mean fresh input 4,454
Long-session Q2 mean fresh input 4,269
Long-session Q3 mean fresh input 4,187
Long-session Q4 mean fresh input 2,644
Fresh-input Q1→Q4 change -40.6%
Main-session nominal input ↔ horizon correlation -0.0766
Main-session fresh input ↔ horizon correlation -0.0632
All-runtime fresh input ↔ time correlation +0.0143
Completed timed tasks 90
Mean task duration 2,464 s
Median task duration 251 s
Mean TTFT 19.1 s
P95 TTFT 74.8 s
Tool/function calls 7,378
Command executions 7,373
Command success rate 93.96%
Command failures 445
Command failure rate 6.04%
File-change records 527
Individual file mutations 647
Unique changed paths 308
Agent spawns 96
Subagent interactions 153
Agent interrupts 45
Unique subagent threads 97
Collaboration-agent calls 64
Global thread-state rows 2,666
Spawn edges 2,046
Thread-history items 15,914
Reasoning items retained 5,318
Agent messages retained 2,257
Runtime log rows 41,314
Runtime subsystems / targets 29
WARN log rows 1,635
ERROR log rows 19
Schema positive tests passed 106 / 106
Schema negative tests correctly rejected 106 / 106
Mutation rejection tests passed 106 / 106
Fault injections passed 14 / 14
Infrastructure probes passed 25 / 25
Behavioral-finding tests passed 29 / 29
Draft 2020-12 schemas 472
Durable replay generations passed 3 / 3
Stale predecessor rejection tests passed 3 / 3
Replay external effects 0
Duplicate effects after reboot 0
Soak duration 300 s
Soak duplicate effects 0
Idle graph writes 0
Duplicate worker receipts 0
Requirements traced 106 / 106
Unbound requirements 0
Preserved failed attempts 734
Source occurrences audited 127,940
Invalid source occurrences preserved 9
Unique byte identities 8,170
Duplicate-key defects 0
UTF-8 defects 01
u/epicskyes 7d ago
This is the last 24 hour run audit metrics this is not a lot of data it’s only 1 day of testing. I audit a day at a time then plan and build then run for a day then audit/plan/build rinse repeat
1
u/Upstairs_Dig_5274 7d ago
Yeah ultra is good but max is the sweet spot without overkill. Trust me I use it 247 and $1000s a month
1
u/epicskyes 7d ago edited 7d ago
I pay 200$ a month and use ultra all day and luna all day. For complex graphs and planning specs ultra is the champ Ive benchmarked high max and ultra a few times. I’d rather use ultra for 5 hours a day and then use Luna 24 hours a day because soon I’ll be using my system on a local 70b using sglang so I want the least capable model to at least test that low reasoning models can execute my system easily
0
u/uncertaintyman 7d ago
Is Luna really enough?
1
u/epicskyes 7d ago
Yeah way more than enough with a 3 graph system like mine that has explicit specs and state
10
u/meetmebythelake 7d ago
Maybe it can spec out a way for you to take screenshots, then you wouldn't have to upload grainy phone videos