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Publish AMF Agent V0.8.0 RC8A — PUBLICATION_READY evidence release

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ARCHITECTURE.md ADDED
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+ # Architecture — AMF Agent RC8A
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+
3
+ ```text
4
+ Request
5
+ |
6
+ v
7
+ Deterministic policy / authorization
8
+ |
9
+ v
10
+ Capability router
11
+ |
12
+ +--> refusal / early exit (no neural call when deterministic)
13
+ |
14
+ +--> TOOL_EXECUTION_ARGUMENTS
15
+ | |
16
+ | +--> Qwen RAW, atomic arguments-only interface
17
+ |
18
+ +--> DIRECT_RESPONSE
19
+ |
20
+ +--> Qwen RAW, atomic response-content-only interface
21
+ |
22
+ v
23
+ Deterministic Agent envelope
24
+ |
25
+ v
26
+ Qualified outcome
27
+ ```
28
+
29
+ The neural model does not generate deterministic wrapper fields that the system already knows.
30
+
31
+ This is the atomic-neural principle:
32
+
33
+ > Models generate only the irreducibly uncertain payload.
34
+
35
+ The winning physical graph is `CR0_ATOMIC_CAPABILITY_PHYSICAL_WINNERS`.
CITATION.cff ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
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+ cff-version: 1.2.0
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+ message: "If you use or discuss this system release, please cite it as below."
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+ title: "AMF Agent V0.8.0 RC8A"
4
+ type: software
5
+ authors:
6
+ - family-names: "BENAHMED"
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+ given-names: "Faysal"
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+ version: "0.8.0-RC8A"
NOTICE.md ADDED
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+ # Notice
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+
3
+ This is an evidence-first public release of AMF Agent RC8A.
4
+
5
+ - Third-party base-model weights are not redistributed.
6
+ - Qwen/Qwen3-4B-Instruct-2507 remains subject to its own license and terms.
7
+ - No AMF source-code license is granted by this repository unless a separate LICENSE file is added.
8
+ - The AMF Foundry implementation and sealed benchmark rows are intentionally not included in this initial public release.
9
+ - Performance claims are bounded to the included protocol, dataset authority, hardware/runtime receipts, and physical evidence.
QUALIFICATION.md ADDED
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+ # Qualification — AMF Agent RC8A
2
+
3
+ ## Authority sequence
4
+
5
+ ```text
6
+ Search / DEV
7
+ -> Robustness
8
+ -> OOD
9
+ -> Pre-Final deployment feasibility hard gates
10
+ -> Champion selection
11
+ -> SYSTEM_FROZEN
12
+ -> Fresh Final V8
13
+ -> Independent verification
14
+ -> Publication authority
15
+ ```
16
+
17
+ Fresh Final is not used during search.
18
+
19
+ ## Final result
20
+
21
+ `PUBLICATION_READY`
22
+
23
+ The detailed machine-readable authority is included in:
24
+
25
+ - `evidence/selected/FINAL_QUALIFICATION.json`
26
+ - `evidence/selected/INDEPENDENT_VERIFICATION.json`
27
+ - `evidence/selected/PUBLICATION_AUTHORITY.json`
28
+ - `evidence/selected/CHAMPION_SELECTION.json`
29
+ - `evidence/selected/RECAP.json`
30
+
31
+ ## Memory gate
32
+
33
+ The deployment guardrail was precommitted at a maximum +35% resident-memory regression against the best search parent OOD reference under the same harness.
34
+
35
+ The merged direct-response challenger measured approximately +99.86% and was rejected before Final.
36
+
37
+ ## Final isolation
38
+
39
+ Fresh Final V8 SHA256:
40
+
41
+ `ddb426048606fef2dd607a5d0f73e37e990c91af685305faa756dec8f5b50f4d`
42
+
43
+ The sealed isolation receipt is included in `evidence/selected/SEALED_FINAL_ISOLATION.json`.
README.md ADDED
@@ -0,0 +1,161 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: custom
3
+ base_model:
4
+ - Qwen/Qwen3-4B-Instruct-2507
5
+ tags:
6
+ - amf
7
+ - ai-mission-foundry
8
+ - agent
9
+ - qualified-ai
10
+ - capability-routing
11
+ - offline
12
+ - private-ai
13
+ - a100
14
+ ---
15
+
16
+ # AMF Agent — V0.8.0 RC8A
17
+
18
+ > **Mission-specific AI, qualified for deployment.**
19
+ > **L'IA vient à vos données, pas l'inverse.**
20
+
21
+ AMF Agent is the first public proof product of **AI Mission Foundry (AMF)**.
22
+
23
+ It is **not another fine-tuned Qwen checkpoint**. It is a qualified AI system that decomposes work into capabilities, authorizes execution, routes only the capability that is needed, and asks the neural substrate to generate only the irreducibly uncertain payload.
24
+
25
+ ## Physical result
26
+
27
+ Fresh Final V8, **96 rows**, NVIDIA A100-SXM4-80GB, same-harness comparison against the best final parent.
28
+
29
+ | Metric | AMF Agent RC8A | Best parent: Qwen3-4B-Instruct-2507 |
30
+ |---|---:|---:|
31
+ | Qualified output | **100.00%** | 77.08% |
32
+ | Critical OK | **100.00%** | 82.29% |
33
+ | Tool safety | **100.00%** | 91.67% |
34
+ | No unauthorized action | **100.00%** | 94.79% |
35
+ | Model calls / request | **0.7396** | 1.0000 |
36
+ | Cost / qualified outcome (GPU-s) | **0.8459** | 3.1981 |
37
+ | Qualified throughput / GPU-s | **1.1822** | 0.3127 |
38
+ | Sequential p95 | **1.9974 s** | 3.6676 s |
39
+ | Resident memory | **8.0536 GB** | 8.0539 GB |
40
+
41
+ Measured deltas:
42
+ - **73.55% lower** cost per qualified outcome
43
+ - **278.08% higher** qualified throughput
44
+ - **26.04% fewer** model calls per request
45
+ - **45.54% lower** sequential p95 latency
46
+
47
+ Independent interleaved latency authority:
48
+ - AMF p95: **2.0912 s**
49
+ - parent p95: **3.6821 s**
50
+ - AMF faster on **96 / 96** paired requests
51
+
52
+ ## What won
53
+
54
+ ```text
55
+ CR0_ATOMIC_CAPABILITY_PHYSICAL_WINNERS
56
+
57
+ TOOL_EXECUTION_ARGUMENTS
58
+ -> Qwen/Qwen3-4B-Instruct-2507 RAW
59
+ -> AGENT_EXECUTOR_ARGS_V1
60
+
61
+ DIRECT_RESPONSE
62
+ -> Qwen/Qwen3-4B-Instruct-2507 RAW
63
+ -> AGENT_DIRECT_RESPONSE_CONTENT_V1
64
+ ```
65
+
66
+ Exact base revision:
67
+
68
+ ```text
69
+ cdbee75f17c01a7cc42f958dc650907174af0554
70
+ ```
71
+
72
+ ## Hard gates first
73
+
74
+ A merged challenger remained semantically qualified but consumed approximately twice the resident memory:
75
+
76
+ | Candidate | Resident bytes | Memory regression | Pre-Final deployment gate |
77
+ |---|---:|---:|---|
78
+ | CR0 RAW/RAW | 8,056,627,200 | ~0% | **PASS** |
79
+ | Merged direct-response | 16,102,238,208 | +99.86% | **FAIL** |
80
+
81
+ Frozen guardrail: **max +35% memory regression**.
82
+
83
+ The merged candidate was rejected **before Fresh Final**.
84
+
85
+ > **Hard gates first. Optimization second.**
86
+
87
+ ## Offline authority
88
+
89
+ RC8A stages exact pinned model snapshots before authority. During the campaign:
90
+
91
+ ```text
92
+ authority_network = FORBIDDEN
93
+ model_source_mode = OFFLINE_PINNED_SNAPSHOT
94
+ ```
95
+
96
+ No OpenAI, Anthropic, Gemini, or external inference API is required by the qualified runtime.
97
+
98
+ ## Publication authority
99
+
100
+ ```text
101
+ decision = PUBLICATION_READY
102
+ mission_qualified = true
103
+ system_qualified = true
104
+ efficiency = true
105
+ public_value = true
106
+ publication_ready = true
107
+ independent_verify = PASS
108
+ artifact_integrity = PASS
109
+ ```
110
+
111
+ AMF artifact SHA256:
112
+
113
+ ```text
114
+ 2af41068f1e1540dbee39d12ab6f6d18e9b75386698d9ca9c9b5d2c5eb7ea513
115
+ ```
116
+
117
+ Fresh Final V8 SHA256:
118
+
119
+ ```text
120
+ ddb426048606fef2dd607a5d0f73e37e990c91af685305faa756dec8f5b50f4d
121
+ ```
122
+
123
+ Physical evidence archive SHA256:
124
+
125
+ ```text
126
+ fc9926392759084ea6600f30009c86508ad37d64b66fe676ffaedeca425528b4
127
+ ```
128
+
129
+ ## Artifact boundary
130
+
131
+ This repository publishes the **qualified system specification and physical evidence**.
132
+
133
+ It does **not** redistribute Qwen base weights and it does **not** claim that AMF trained the Qwen weights.
134
+
135
+ ```text
136
+ mode = PINNED_RECONSTRUCTION
137
+ base_weights_embedded = false
138
+ adapters_embedded = false
139
+ ```
140
+
141
+ The base model remains **Qwen/Qwen3-4B-Instruct-2507** at the pinned revision above.
142
+
143
+ ## Evidence
144
+
145
+ - `system/` — exact publication-ready system specification and identity receipts
146
+ - `evidence/selected/` — Final qualification, independent verification, champion selection, runtime and deployment receipts
147
+ - `evidence/raw/` — complete exported RC8A physical evidence archive and SHA256
148
+ - `release/RELEASE_SUMMARY.json` — compact public release summary
149
+
150
+ See [`QUALIFICATION.md`](QUALIFICATION.md), [`ARCHITECTURE.md`](ARCHITECTURE.md), and [`REPRODUCE_EVIDENCE.md`](REPRODUCE_EVIDENCE.md).
151
+
152
+ ## AMF thesis
153
+
154
+ > **Models generate only the irreducibly uncertain payload. AMF deterministically constructs everything already known.**
155
+
156
+ Routing selects capabilities. Qualification selects realizations. Runtime executes only the cheapest qualified intelligence needed.
157
+
158
+ ---
159
+
160
+ **AI Mission Foundry — AMF**
161
+ Created by Faysal BENAHMED.
REPRODUCE_EVIDENCE.md ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # Verify the published evidence
2
+
3
+ The complete physical evidence export is included under `evidence/raw/`.
4
+
5
+ From the repository root:
6
+
7
+ ```bash
8
+ sha256sum -c evidence/raw/AMF_V0_8_0_RC8A_AGENT_RESULTS.tar.gz.sha256
9
+ ```
10
+
11
+ Expected:
12
+
13
+ ```text
14
+ AMF_V0_8_0_RC8A_AGENT_RESULTS.tar.gz: OK
15
+ ```
16
+
17
+ Archive SHA256:
18
+
19
+ ```text
20
+ fc9926392759084ea6600f30009c86508ad37d64b66fe676ffaedeca425528b4
21
+ ```
22
+
23
+ The original RC8A source/package archive used for the run had SHA256:
24
+
25
+ ```text
26
+ 87756c9161003d74e11c4d164f4d21e9a9aa1a99a5699bb36d3a76cc7015769a
27
+ ```
28
+
29
+ It is intentionally **not redistributed by this evidence-first public release**. This avoids publishing the full AMF Foundry implementation and sealed benchmark material as part of the initial commercial proof release.
30
+
31
+ The exact publication-ready reconstruction specification is available under `system/`.
SYSTEM_CARD.md ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ # System Card — AMF Agent RC8A
2
+
3
+ ## Scope
4
+
5
+ AMF Agent RC8A is a capability-routed agent system qualified on the frozen Agent mission contract.
6
+
7
+ The qualified system has two neural capability roles:
8
+
9
+ 1. `TOOL_EXECUTION_ARGUMENTS`
10
+ 2. `DIRECT_RESPONSE`
11
+
12
+ Policy, authorization, routing, deterministic envelope construction, and refusal paths are system-level responsibilities rather than unconstrained neural generation.
13
+
14
+ ## Claim boundary
15
+
16
+ The release proves the behavior measured by the included qualification protocol and physical evidence. It does not claim universal superiority over Qwen or other systems outside the tested mission/domain.
17
+
18
+ The public artifact is a `PINNED_RECONSTRUCTION`, not a newly trained AMF foundation model.
19
+
20
+ ## Execution authority
21
+
22
+ The constitutional runtime rule is:
23
+
24
+ > No Capability Authorization => No Execution.
25
+
26
+ Known deterministic deployment constraints are hard gates before physical optimization.
27
+
28
+ ## Base substrate
29
+
30
+ - Model: `Qwen/Qwen3-4B-Instruct-2507`
31
+ - Revision: `cdbee75f17c01a7cc42f958dc650907174af0554`
32
+ - Realization mode: RAW
33
+ - Runtime quantization: none in the winning graph
34
+ - Dynamic PEFT in winning hot path: none
35
+
36
+ ## Physical environment
37
+
38
+ - GPU: NVIDIA A100-SXM4-80GB
39
+ - CUDA: 12.8
40
+ - PyTorch: 2.8.0+cu128
41
+ - Python: 3.12.3
42
+ - Authority network: FORBIDDEN
43
+ - Model source: OFFLINE_PINNED_SNAPSHOT
44
+
45
+ See the machine-readable receipts under `evidence/selected/` and `system/`.
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+ {
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+ "deployment_feasibility": {
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+ "CR0_ATOMIC_CAPABILITY_PHYSICAL_WINNERS": {
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+ "checks": {
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+ "memory_relative_bound": true
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+ },
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+ "metrics": {
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+ "candidate_resident_bytes": 8056627200.0,
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+ "memory_regression": -1.016801630115971e-06,
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+ "reference_resident_bytes": 8056635392.0
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+ },
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+ "reference": "BEST_SEARCH_PARENT_OOD_SAME_HARNESS",
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+ "schema": "amf/v0.8.0/deployment-feasibility/rc8-v1",
14
+ "status": "PASS",
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+ "thresholds": {
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+ "authority_phase": "PRE_FINAL",
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+ "max_memory_regression": 0.35,
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+ "max_resident_bytes": null,
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+ "principle": "KNOWN_DETERMINISTIC_DEPLOYMENT_CONSTRAINTS_ARE_HARD_GATES_BEFORE_OPTIMIZATION",
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+ "reference": "BEST_SEARCH_PARENT_OOD_SAME_HARNESS"
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+ }
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+ },
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+ "CR_MERGED_DIRECT_RESPONSE": {
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+ "checks": {
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+ "memory_relative_bound": false
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+ },
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+ "metrics": {
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+ "memory_regression": 0.9986306224046138,
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+ "reference_resident_bytes": 8056635392.0
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+ },
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+ "reference": "BEST_SEARCH_PARENT_OOD_SAME_HARNESS",
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+ "schema": "amf/v0.8.0/deployment-feasibility/rc8-v1",
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+ "status": "FAIL",
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+ "thresholds": {
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+ "authority_phase": "PRE_FINAL",
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+ "max_memory_regression": 0.35,
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+ "max_resident_bytes": null,
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+ "principle": "KNOWN_DETERMINISTIC_DEPLOYMENT_CONSTRAINTS_ARE_HARD_GATES_BEFORE_OPTIMIZATION",
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+ "reference": "BEST_SEARCH_PARENT_OOD_SAME_HARNESS"
41
+ }
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+ }
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+ },
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+ "eligibility": "DEV_ROBUSTNESS_OOD_QUALITY_EFFICIENCY_AND_PRE_FINAL_DEPLOYMENT_FEASIBILITY",
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+ "eligible_graphs": [
46
+ "CR0_ATOMIC_CAPABILITY_PHYSICAL_WINNERS"
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+ ],
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+ "physical_objectives": [
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+ {
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+ "direction": "min",
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+ "metric": "latency_p95_s"
52
+ },
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+ {
54
+ "direction": "min",
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+ "metric": "cost_per_qualified_outcome_model_generation_seconds"
56
+ },
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+ {
58
+ "direction": "min",
59
+ "metric": "resident_bytes"
60
+ }
61
+ ],
62
+ "principle": "HARD_GATES_FIRST_OPTIMIZATION_SECOND",
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+ "profiles": {
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+ "CR0_ATOMIC_CAPABILITY_PHYSICAL_WINNERS": {
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+ "cost_per_qualified_outcome_model_generation_seconds": 0.1691509227384813,
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+ "latency_p95_s": 0.8094661505892873,
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+ "model_calls_per_request": 0.25,
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+ "qualified_throughput_per_gpu_second": 5.911880253506315,
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+ "CR_MERGED_DIRECT_RESPONSE": {
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+ "cost_per_qualified_outcome_model_generation_seconds": 0.1834862606289486,
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+ "latency_p95_s": 0.9080437421798706,
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+ "model_calls_per_request": 0.25,
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+ "qualified_throughput_per_gpu_second": 5.449999343668733,
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+ "resident_bytes": 16102238208
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+ }
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+ },
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+ "rejected_graphs": [
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+ {
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+ "failed_checks": [
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+ "memory_relative_bound"
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+ ],
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+ "graph_id": "CR_MERGED_DIRECT_RESPONSE",
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+ "reason": "DEPLOYMENT_FEASIBILITY_FAIL"
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+ }
87
+ ],
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+ "schema": "amf/v0.8.0/system-physical-selection/rc8-v1",
89
+ "selected_graph": "CR0_ATOMIC_CAPABILITY_PHYSICAL_WINNERS"
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+ }
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+ {
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+ "lock_sha256": "46e96a2c80571d28d4f9763e26b659fd9b2497afa7b7de3cc58f4b385b80750c",
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