Generate graph-driven ORT GenAI decoder configs

[justinchuby]

Summary

• emit the released architecture-neutral model.type: "decoder" contract for compatible single-model decoder-only text graphs
• derive semantic inputs, cache templates, outputs, sparse global cache slots, recurrent pairs, and sliding-window metadata from the optimized ONNX graph
• preserve runtime-specific LFM2 and Phi-3 LongRoPE behavior, fail closed for Mobius GPT-2's incompatible separate-cache ABI and unsupported state layouts, and record runtime compatibility without emitting main-only state_groups
• keep GGUF runtime promotion evidence-gated while validating the exact SmolLM F16/CPU/tokenizer route end to end

Validation

• 228 focused ORT GenAI/GGUF config tests
• 2,871 affected CLI/ORT GenAI/GGUF tests
• exact SmolLM deterministic generation on onnxruntime-genai 0.14.1 and 0.15.2
• exact Q4_K_M fail-closed/dequantized parity test from the stacked base
• full initialized lintrunner pass
• two independent high-confidence reviews plus a final fix verification

Stacked on #609.

[github-actions]

🏗️ Architecture Diff

Comparing d673f9d → c684c1e

Model	Sub-model	Changes	Status

No architecture changes detected. ✅

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Legend: ⚪ No change · 🔵 Minor (attrs/inits) · 🟡 Moderate (nodes added/removed) · 🔴 Major (interface changed)

[github-actions]

Performance Comparison

Comparing d673f9d → c684c1e

Model	Metric	Baseline	Current	Delta
bert (feature-extraction)	model_size_bytes	359 KB	359 KB	+0.0%	⚪
bert (feature-extraction)	num_nodes	68	68	+0.0%	⚪
falcon	model_size_bytes	364 KB	364 KB	+0.0%	⚪
falcon	num_nodes	66	66	+0.0%	⚪
gemma2	model_size_bytes	428 KB	428 KB	+0.0%	⚪
gemma2	num_nodes	105	105	+0.0%	⚪
gpt2	model_size_bytes	388 KB	388 KB	+0.0%	⚪
gpt2	num_nodes	54	54	+0.0%	⚪
llama	model_size_bytes	425 KB	425 KB	+0.0%	⚪
llama	num_nodes	60	60	+0.0%	⚪
llama (static-cache)	model_size_bytes	425 KB	425 KB	+0.0%	⚪
llama (static-cache)	num_nodes	56	56	+0.0%	⚪
mamba (ssm-text-generation)	model_size_bytes	296 KB	296 KB	+0.0%	⚪
mamba (ssm-text-generation)	num_nodes	94	94	+0.0%	⚪
phi3	model_size_bytes	421 KB	421 KB	+0.0%	⚪
phi3	num_nodes	58	58	+0.0%	⚪
phi3 (static-cache)	model_size_bytes	421 KB	421 KB	+0.0%	⚪
phi3 (static-cache)	num_nodes	54	54	+0.0%	⚪
qwen2	model_size_bytes	425 KB	425 KB	+0.0%	⚪
qwen2	num_nodes	60	60	+0.0%	⚪
qwen2 (static-cache)	model_size_bytes	425 KB	425 KB	+0.0%	⚪
qwen2 (static-cache)	num_nodes	56	56	+0.0%	⚪
qwen3_5_moe (hybrid-text-generation)	model_size_bytes	506 KB	506 KB	+0.0%	⚪
qwen3_5_moe (hybrid-text-generation)	num_nodes	264	264	+0.0%	⚪
qwen3_5_text (hybrid-text-generation)	model_size_bytes	458 KB	458 KB	+0.0%	⚪
qwen3_5_text (hybrid-text-generation)	num_nodes	126	126	+0.0%	⚪
qwen3_5_vl (hybrid-qwen-vl)	model_size_bytes	977 KB	977 KB	+0.0%	⚪
qwen3_5_vl (hybrid-qwen-vl)	num_nodes	428	428	+0.0%	⚪
t5 (seq2seq)	model_size_bytes	836 KB	836 KB	+0.0%	⚪
t5 (seq2seq)	num_nodes	176	176	+0.0%	⚪
whisper (speech-to-text)	model_size_bytes	1008 KB	1008 KB	+0.0%	⚪
whisper (speech-to-text)	num_nodes	128	128	+0.0%	⚪

No performance regressions.