Blame for contract.json

{
 "what": "clef-flash on LiteRT: the contract between the graphs and a host",
 "model": {
  "repo": "Cloudflare/clef-flash",
  "revision": "f0b7d3cd65296abfe459e6c228b618f5d8b26d2f",
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  "hidden_size": 4096,
  "vocab_rows": 248320,
  "tie_word_embeddings": "false (embed_tokens and lm_head are two tables)"
 },
 "host": {
  "package": "host/clef_litert",
  "version": "0.2.0",
  "requirements": "host/requirements-host.txt (Python 3.14.6, macOS 27.0): numpy, tokenizers, pillow and ai-edge-litert (imported when a graph is compiled); no torch, no transformers",
  "files_sha256": {
   "__init__.py": "4bc079245c456d5ef34b21c3cfd6614e367d5173a2fbf95d95a778279d9e80a2",
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   "response.py": "5658ca395deef7ee20c68e8244f5b1dd42af7c8021c6a8138acd685d89d91445",
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   "tables.py": "6db98e0069162a8a0d9bbc56111f3676d382b34e0b2a1c4a86794f287fe2a521"
  },
  "entry": "ClefLiteRT.from_dir(folder, accelerator='gpu' | 'cpu').decide(request, tile=448 | 256)",
  "steps": "host/clef_litert/__init__.py docstring 1-6; ClefHost.decide(request, row_graph, tower)"
 },
 "folder": {
  "layout": {
   "row": "clef-flash_rowprefill_embeds_L{length}_fp16fc.tflite",
   "tower": "clef-flash_vision_tower_g{tile}_fp16fc.tflite",
   "tower_pos": "tables/vision_pos_g{tile}.safetensors",
   "embed_tokens": "tables/embed_tokens.safetensors",
   "lm_head": "tables/lm_head.safetensors",
   "joint_head": "head/joint_head.safetensors",
   "joint_head_config": "head/joint_head_config.json",
   "tokenizer": "tokenizer/tokenizer.json"
  },
  "lengths": [
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   512,
   1024,
   2048,
   4096
  ],
  "tiles": [
   256,
   448
  ],
  "rule": "a request runs on the smallest present row graph that holds it; longer than the largest present one = RequestTooLong; one row graph compiled at a time, the towers stay compiled",
  "accelerators": {
   "gpu": "HardwareAccelerator.GPU, GpuOptions(enforce_f32=True) (Metal on a Mac)",
   "cpu": "HardwareAccelerator.CPU, CpuOptions(num_threads=8) (XNNPACK), no weight cache file"
  },
  "not_supported": "the GPU's default precision (fp16 storage): the row graphs' norms overflow and the towers' rows are wrong (measured, not shipped)"
 },
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   "role": "the row graph's embeds: the rows of the ids, widened to float32 by the host"
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   "role": "the joint head's lexical vectors: the mean of the rows of each option span's ids"
  }
 },
 "token_ids": {
  "vision_start": 248053,
  "vision_end": 248054,
  "image_pad": 248056,
  "processor_pad": 248044
 },
 "request": {
  "shape": "SystemOne-compatible request shape: {model: str, state: any JSON, questions: {id: {type, instructions, criteria}}, images: [one picture] (optional)}",
  "question_types": {
   "noul": 0,
   "choice": 1,
   "score": 2
  },
  "checks": "the author's systemone() checks, in order (request.validate_request), then the host's",
  "refusals": {
   "MissingModelOrState": "model is not a string or state is absent: 'model and state are required'",
   "NoQuestions": "questions is not a non-empty object: 'at least one question is required'",
   "BadQuestionType": "type not noul / choice / score: '<id>: type must be noul, choice, or score'",
   "EmptyCriteria": "choice or score without criteria: '<id>: criteria must not be empty'",
   "SchemaTooLong": "prefix + picture + schema + suffix > max_length (16384), encode_record's message",
   "EmptyRecord": "no ids or no questions, encode_record's message",
   "UnsupportedMedia": "host only: more than one picture, videos, media_kwargs, an unreadable picture or URL, a tile other than 256 / 448",
   "RequestTooLong": "host only: more than 4096 tokens (refused, never truncated)",
   "base": "every refusal is clef_litert.RequestError, a ValueError"
  }
 },
 "ids": {
  "encode": "tokenizers.Tokenizer.from_file(tokenizer.json).encode(piece, add_special_tokens=False), pieces concatenated (the author's encode_record)",
  "prefix": "<|im_start|>system\nRead the complete state and schema. Decide every field jointly. Each answer must be exactly one of that field's allowed options.<|im_end|>\n<|im_start|>user\nSTATE:\n",
  "prefix_ids": 36,
  "suffix": "\n<|im_end|>\n<|im_start|>assistant\n<think>\n\n</think>\n\nJOINT SCHEMA DECISIONS:",
  "suffix_ids": 18,
  "schema_header": "\n\nSCHEMA FIELDS:\n",
  "question_piece": "\\nFIELD {i}\\nID: {id}\\nTYPE: {type}\\nINSTRUCTION: [render(instructions or id)]\\nALLOWED OPTIONS:\\n + per option 'OPTION {j}: [render({option_id, description})]\\n' + 'END FIELD\\n' ([..] = the spans)",
  "render": "a string as is, else json.dumps(ensure_ascii=False, separators=(',', ':'), sort_keys=True)",
  "option_order": "noul (true, false); choice: ids sorted as strings; score: levels 0..n-1",
  "noul_default_criteria": {
   "true": "The proposition is true or the answer is yes.",
   "false": "The proposition is false or the answer is no."
  },
  "picture_block": "<|vision_start|> + N x <|image_pad|> + <|vision_end|> + '\\n' right after the prefix (token_offset = the <|vision_start|> index)",
  "state_cut": "to max_length 16384 exactly as encode_record (the row graphs refuse past 4096 first)",
  "usage_input_tokens": "len(ids)"
 },
 "row_graph": {
  "signature": "serving_default",
  "inputs": [
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    "name": "embeds",
    "dtype": "float32",
    "shape": [
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    ],
    "meaning": "the bf16 embed_tokens rows of the ids widened to float32; the picture rows at the <|image_pad|> positions; 0 after the record"
   },
   {
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    "dtype": "float32",
    "shape": [
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    "meaning": "1 on the record, 0 after it"
   },
   {
    "name": "cos",
    "dtype": "float32",
    "shape": [
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     64
    ],
    "meaning": "M-RoPE cos of the record's position planes (positions.py)"
   },
   {
    "name": "sin",
    "dtype": "float32",
    "shape": [
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    ],
    "meaning": "M-RoPE sin"
   }
  ],
  "outputs": [
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    "name": "hidden",
    "dtype": "float32",
    "shape": [
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    ],
    "meaning": "after the final RMSNorm, every position; the host reads rows 0..T-1"
   }
  ],
  "buckets": [
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   512,
   1024,
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   4096
  ],
  "bucket_rule": "the smallest L >= T; T > 4096 refused (RequestTooLong)",
  "padding": "right; embeds 0, valid 0; pad positions continue max + 1, + 2, ... on all three planes",
  "files": [
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   "clef-flash_rowprefill_embeds_L512_fp16fc.tflite",
   "clef-flash_rowprefill_embeds_L1024_fp16fc.tflite",
   "clef-flash_rowprefill_embeds_L2048_fp16fc.tflite",
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 },
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    11,
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   "interleave": "j % 3 == 1 and j < 33 -> h, j % 3 == 2 and j < 30 -> w, else t",
   "tables": "angle = float32(inv_freq * pos); cos / sin of cat(angle, angle) in float64, rounded to float32"
  }
 },
 "picture": {
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     8
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    "picture_tokens": 64,
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     14
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    "picture_tokens": 196,
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  "default_tile": 448,
  "preprocess": "PIL open -> convert('RGB') -> resize((tile, tile), BICUBIC) -> /255 -> (x - 0.5) / 0.5 (float64) -> float32 -> merge-block-major patches (C, T=2, 16, 16)",
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 },
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   "layers": 4,
   "heads": 16,
   "feedforward": 4096
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  "parameters": 121762820,
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 },
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   "model": "request.model",
   "answers": "{question id: answer} in request order",
   "usage": {
    "input_tokens": "len(ids)",
    "output_tokens": 0
   }
  }
 },
 "status": "the graphs, the host package and the folder of this repository",
 "checks": {
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  "line": "on every question that is not a near-tie (top-2 margin <= 0.02) the most likely option is the reference's; every probability within 0.02; the mean over runs of each run's mean |dp| <= 0.002",
  "end_to_end": {
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    "complete": true,
    "line": {
     "runs": 243,
     "argmax_equal_non_near_tie": "545/545",
     "near_tie": "5/5",
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     "mean_of_run_means": 7.334260193875453e-06,
     "pass": true
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    "red_arms": "3/3",
    "pass": true
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   "cpu": {
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     "mean_of_run_means": 1.3047657266541098e-05,
     "pass": true
    },
    "red_arms": "3/3",
    "pass": true
   }
  },
  "example": {
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   "cpu": true
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