DEEPBOM
Browser-local and CLI static evidence for deployed AI model artifacts.
사용해야 할까요
품질 및 안전성
A
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
~6,610토큰 (도구 정의)
~10.7 KB일반적인 응답 크기
상당한 주의 영향 (128k 컨텍스트의 5.16%)
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"deepbom": {
"command": "npx",
"args": [
"deepbom"
]
}
}
}실행 가능한 패키지
npmdeepbom
2.0.0stdio원격 엔드포인트
https://deepbom.org/mcpstreamable-http할 수 있는 일
도구 목록
도구 (7)
🟢 읽기 전용🟡 쓰기🔴 삭제⚪ 알 수 없음
🟢deepbom_analyze_file(file, analysis_depth)
Use when the user asks to inspect, summarize, or visualize an attached TFLite, ONNX, GGUF, SafeTensors, Core ML, or ExecuTorch deployment artifact. Opens a browser-local analyzer, returns a hash-bound format-neutral Model IR table and static evidence summary, and provides deterministic document views without executing model code. Do not use for training checkpoints, measured latency, task accuracy, clinical validity, regulatory compliance, or actual runtime placement.
입력 스키마
{
"type": "object",
"properties": {
"file": {
"$ref": "#/$defs/OpenAIFile"
},
"analysis_depth": {
"type": "string",
"enum": [
"structure",
"payload_integrity"
],
"default": "structure",
"description": "Use structure unless the user explicitly asks to inspect serialized tensor payload values. Payload integrity can require reading the complete attachment."
}
},
"required": [
"file"
],
"$defs": {
"OpenAIFile": {
"type": "object",
"properties": {
"download_url": {
"type": "string"
},
"file_id": {
"type": "string"
},
"mime_type": {
"type": "string"
},
"file_name": {
"type": "string"
}
},
"required": [
"download_url",
"file_id"
],
"additionalProperties": false
}
},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"status": {
"type": "string",
"const": "browser_analysis_started"
},
"analyzer_version": {
"type": "string"
},
"file": {
"type": "object",
"properties": {
"file_id": {
"type": "string"
},
"file_name": {
"type": [
"string",
"null"
]
},
"mime_type": {
"type": [
"string",
"null"
]
}
},
"required": [
"file_id",
"file_name",
"mime_type"
],
"additionalProperties": false
},
"analysis_depth": {
"type": "string"
},
"privacy": {
"type": "string"
}
},
"required": [
"status",
"analyzer_version",
"file",
"analysis_depth",
"privacy"
],
"additionalProperties": false
}🟢deepbom_capabilities
Use before analysis when format support, privacy boundaries, or the difference between the ChatGPT and local DEEPBOM paths is unclear. Returns capability metadata only and does not inspect a file.
입력 스키마
{
"type": "object",
"properties": {},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"schema": {
"type": "string"
},
"version": {
"type": "string"
},
"supported_formats": {
"type": "array",
"items": {
"type": "string"
}
},
"chatgpt_path": {
"type": "object"
},
"local_path": {
"type": "object"
},
"evidence_boundary": {
"type": "string"
}
},
"required": [
"schema",
"version",
"supported_formats",
"chatgpt_path",
"local_path",
"evidence_boundary"
],
"additionalProperties": false
}🟢deepbom_publish_analysis(result)
Receives one bounded browser-produced DEEPBOM result, validates its structure, and returns it to the conversation. This tool accepts analysis results, never model bytes.
입력 스키마
{
"type": "object",
"properties": {
"result": {
"type": "object",
"anyOf": [
{
"type": "object",
"properties": {
"schema": {
"type": "string",
"const": "deepbom.chatgpt_analysis_result.v1"
},
"analyzer_version": {
"type": "string"
},
"analysis_location": {
"type": "string",
"const": "chatgpt_browser_sandbox"
},
"artifact": {
"type": "object",
"properties": {
"filename": {
"type": "string"
},
"format": {
"type": "string"
},
"sha256": {
"type": "string"
},
"byte_length": {
"type": "integer",
"minimum": 0
},
"artifact_ir_sha256": {
"type": [
"string",
"null"
]
}
},
"required": [
"filename",
"format",
"sha256",
"byte_length"
],
"additionalProperties": false
},
"verdict": {
"type": "object",
"properties": {
"status": {
"type": "string"
},
"artifact_defect_count": {
"type": "integer",
"minimum": 0
},
"caution_count": {
"type": "integer",
"minimum": 0
},
"evidence_needed_count": {
"type": "integer",
"minimum": 0
}
},
"required": [
"status",
"artifact_defect_count",
"caution_count",
"evidence_needed_count"
],
"additionalProperties": false
},
"graph": {
"type": "object",
"properties": {
"operator_count": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"tensor_count": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"total_macs": {
"type": [
"number",
"null"
],
"minimum": 0
},
"mac_confidence": {
"type": "string"
}
},
"required": [
"operator_count",
"tensor_count",
"total_macs",
"mac_confidence"
],
"additionalProperties": false
},
"storage": {
"type": [
"object",
"null"
]
},
"quantization": {
"type": "object"
},
"model_summary": {
"type": "object"
},
"findings": {
"type": "object"
},
"evidence_boundary": {
"type": "string"
},
"transfer_boundary": {
"type": "string"
},
"reproduction": {
"type": [
"object",
"null"
]
}
},
"required": [
"schema",
"analyzer_version",
"analysis_location",
"artifact",
"verdict",
"graph",
"storage",
"quantization",
"model_summary",
"findings",
"evidence_boundary",
"transfer_boundary",
"reproduction"
],
"additionalProperties": false
},
{
"type": "object",
"properties": {
"schema": {
"type": "string",
"const": "deepbom.chatgpt_analysis_result.v2"
},
"analyzer_version": {
"type": "string"
},
"analysis_location": {
"type": "string",
"const": "chatgpt_browser_sandbox"
},
"artifact": {
"type": "object",
"properties": {
"filename": {
"type": "string"
},
"format": {
"type": "string"
},
"sha256": {
"type": "string"
},
"byte_length": {
"type": "integer",
"minimum": 0
},
"artifact_ir_sha256": {
"type": [
"string",
"null"
]
}
},
"required": [
"filename",
"format",
"sha256",
"byte_length"
],
"additionalProperties": false
},
"verdict": {
"type": "object",
"properties": {
"status": {
"type": "string"
},
"artifact_defect_count": {
"type": "integer",
"minimum": 0
},
"caution_count": {
"type": "integer",
"minimum": 0
},
"evidence_needed_count": {
"type": "integer",
"minimum": 0
}
},
"required": [
"status",
"artifact_defect_count",
"caution_count",
"evidence_needed_count"
],
"additionalProperties": false
},
"graph": {
"type": "object",
"properties": {
"operator_count": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"tensor_count": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"total_macs": {
"type": [
"number",
"null"
],
"minimum": 0
},
"mac_confidence": {
"type": "string"
}
},
"required": [
"operator_count",
"tensor_count",
"total_macs",
"mac_confidence"
],
"additionalProperties": false
},
"storage": {
"type": [
"object",
"null"
]
},
"quantization": {
"type": "object"
},
"model_summary": {
"type": "object"
},
"provenance_summary": {
"type": "object",
"properties": {
"schema": {
"type": "string",
"const": "deepbom.provenance_summary.v1"
},
"artifact_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"model_ir_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"provenance_ir_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"status": {
"type": "string",
"enum": [
"contradiction_observed",
"incomplete",
"no_contradiction_observed"
]
},
"node_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"relationship_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"observed_file_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"check_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"field_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"mapped_declared_field_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"unsupported_field_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"attested_relationship_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"check_counts": {
"type": "object",
"properties": {
"match": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"mismatch": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"not_assessed": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"unresolved": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"unsupported": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
}
},
"required": [
"match",
"mismatch",
"not_assessed",
"unresolved",
"unsupported"
],
"additionalProperties": false
},
"metadata_truth_verified": {
"type": "boolean",
"const": false
},
"publisher_authenticity": {
"type": "string",
"const": "not_verified"
}
},
"required": [
"schema",
"artifact_sha256",
"model_ir_sha256",
"provenance_ir_sha256",
"status",
"node_count",
"relationship_count",
"observed_file_count",
"check_count",
"field_count",
"mapped_declared_field_count",
"unsupported_field_count",
"attested_relationship_count",
"check_counts",
"metadata_truth_verified",
"publisher_authenticity"
],
"additionalProperties": false
},
"findings": {
"type": "object"
},
"evidence_boundary": {
"type": "string"
},
"transfer_boundary": {
"type": "string"
},
"reproduction": {
"type": [
"object",
"null"
]
}
},
"required": [
"schema",
"analyzer_version",
"analysis_location",
"artifact",
"verdict",
"graph",
"storage",
"quantization",
"model_summary",
"findings",
"evidence_boundary",
"transfer_boundary",
"reproduction"
],
"additionalProperties": false
}
]
}
},
"required": [
"result"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"anyOf": [
{
"type": "object",
"properties": {
"schema": {
"type": "string",
"const": "deepbom.chatgpt_analysis_result.v1"
},
"analyzer_version": {
"type": "string"
},
"analysis_location": {
"type": "string",
"const": "chatgpt_browser_sandbox"
},
"artifact": {
"type": "object",
"properties": {
"filename": {
"type": "string"
},
"format": {
"type": "string"
},
"sha256": {
"type": "string"
},
"byte_length": {
"type": "integer",
"minimum": 0
},
"artifact_ir_sha256": {
"type": [
"string",
"null"
]
}
},
"required": [
"filename",
"format",
"sha256",
"byte_length"
],
"additionalProperties": false
},
"verdict": {
"type": "object",
"properties": {
"status": {
"type": "string"
},
"artifact_defect_count": {
"type": "integer",
"minimum": 0
},
"caution_count": {
"type": "integer",
"minimum": 0
},
"evidence_needed_count": {
"type": "integer",
"minimum": 0
}
},
"required": [
"status",
"artifact_defect_count",
"caution_count",
"evidence_needed_count"
],
"additionalProperties": false
},
"graph": {
"type": "object",
"properties": {
"operator_count": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"tensor_count": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"total_macs": {
"type": [
"number",
"null"
],
"minimum": 0
},
"mac_confidence": {
"type": "string"
}
},
"required": [
"operator_count",
"tensor_count",
"total_macs",
"mac_confidence"
],
"additionalProperties": false
},
"storage": {
"type": [
"object",
"null"
]
},
"quantization": {
"type": "object"
},
"model_summary": {
"type": "object"
},
"findings": {
"type": "object"
},
"evidence_boundary": {
"type": "string"
},
"transfer_boundary": {
"type": "string"
},
"reproduction": {
"type": [
"object",
"null"
]
}
},
"required": [
"schema",
"analyzer_version",
"analysis_location",
"artifact",
"verdict",
"graph",
"storage",
"quantization",
"model_summary",
"findings",
"evidence_boundary",
"transfer_boundary",
"reproduction"
],
"additionalProperties": false
},
{
"type": "object",
"properties": {
"schema": {
"type": "string",
"const": "deepbom.chatgpt_analysis_result.v2"
},
"analyzer_version": {
"type": "string"
},
"analysis_location": {
"type": "string",
"const": "chatgpt_browser_sandbox"
},
"artifact": {
"type": "object",
"properties": {
"filename": {
"type": "string"
},
"format": {
"type": "string"
},
"sha256": {
"type": "string"
},
"byte_length": {
"type": "integer",
"minimum": 0
},
"artifact_ir_sha256": {
"type": [
"string",
"null"
]
}
},
"required": [
"filename",
"format",
"sha256",
"byte_length"
],
"additionalProperties": false
},
"verdict": {
"type": "object",
"properties": {
"status": {
"type": "string"
},
"artifact_defect_count": {
"type": "integer",
"minimum": 0
},
"caution_count": {
"type": "integer",
"minimum": 0
},
"evidence_needed_count": {
"type": "integer",
"minimum": 0
}
},
"required": [
"status",
"artifact_defect_count",
"caution_count",
"evidence_needed_count"
],
"additionalProperties": false
},
"graph": {
"type": "object",
"properties": {
"operator_count": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"tensor_count": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"total_macs": {
"type": [
"number",
"null"
],
"minimum": 0
},
"mac_confidence": {
"type": "string"
}
},
"required": [
"operator_count",
"tensor_count",
"total_macs",
"mac_confidence"
],
"additionalProperties": false
},
"storage": {
"type": [
"object",
"null"
]
},
"quantization": {
"type": "object"
},
"model_summary": {
"type": "object"
},
"provenance_summary": {
"type": "object",
"properties": {
"schema": {
"type": "string",
"const": "deepbom.provenance_summary.v1"
},
"artifact_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"model_ir_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"provenance_ir_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"status": {
"type": "string",
"enum": [
"contradiction_observed",
"incomplete",
"no_contradiction_observed"
]
},
"node_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"relationship_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"observed_file_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"check_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"field_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"mapped_declared_field_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"unsupported_field_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"attested_relationship_count": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"check_counts": {
"type": "object",
"properties": {
"match": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"mismatch": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"not_assessed": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"unresolved": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
},
"unsupported": {
"type": "integer",
"minimum": 0,
"maximum": 1000000
}
},
"required": [
"match",
"mismatch",
"not_assessed",
"unresolved",
"unsupported"
],
"additionalProperties": false
},
"metadata_truth_verified": {
"type": "boolean",
"const": false
},
"publisher_authenticity": {
"type": "string",
"const": "not_verified"
}
},
"required": [
"schema",
"artifact_sha256",
"model_ir_sha256",
"provenance_ir_sha256",
"status",
"node_count",
"relationship_count",
"observed_file_count",
"check_count",
"field_count",
"mapped_declared_field_count",
"unsupported_field_count",
"attested_relationship_count",
"check_counts",
"metadata_truth_verified",
"publisher_authenticity"
],
"additionalProperties": false
},
"findings": {
"type": "object"
},
"evidence_boundary": {
"type": "string"
},
"transfer_boundary": {
"type": "string"
},
"reproduction": {
"type": [
"object",
"null"
]
}
},
"required": [
"schema",
"analyzer_version",
"analysis_location",
"artifact",
"verdict",
"graph",
"storage",
"quantization",
"model_summary",
"findings",
"evidence_boundary",
"transfer_boundary",
"reproduction"
],
"additionalProperties": false
}
]
}🟢deepbom_publish_error(error)
Receives one bounded browser-produced DEEPBOM error and returns a recovery action to the conversation. This tool accepts diagnostic text, never model bytes.
입력 스키마
{
"type": "object",
"properties": {
"error": {
"type": "object",
"properties": {
"schema": {
"type": "string",
"const": "deepbom.chatgpt_error.v1"
},
"analyzer_version": {
"type": "string"
},
"analysis_location": {
"type": "string",
"const": "chatgpt_browser_sandbox"
},
"code": {
"type": "string"
},
"message": {
"type": "string"
},
"suggested_action": {
"type": "string"
},
"file_name": {
"type": [
"string",
"null"
]
},
"transfer_boundary": {
"type": "string",
"const": "model_bytes_not_sent_to_deepbom_service"
}
},
"required": [
"schema",
"analyzer_version",
"analysis_location",
"code",
"message",
"suggested_action",
"file_name",
"transfer_boundary"
],
"additionalProperties": false
}
},
"required": [
"error"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"schema": {
"type": "string",
"const": "deepbom.chatgpt_error.v1"
},
"analyzer_version": {
"type": "string"
},
"analysis_location": {
"type": "string",
"const": "chatgpt_browser_sandbox"
},
"code": {
"type": "string"
},
"message": {
"type": "string"
},
"suggested_action": {
"type": "string"
},
"file_name": {
"type": [
"string",
"null"
]
},
"transfer_boundary": {
"type": "string",
"const": "model_bytes_not_sent_to_deepbom_service"
}
},
"required": [
"schema",
"analyzer_version",
"analysis_location",
"code",
"message",
"suggested_action",
"file_name",
"transfer_boundary"
],
"additionalProperties": false
}🟢deepbom_query_file(file, expected_sha256, analysis_depth, query)
Use for follow-up questions about an already identified attachment: inspect a layer by subject_ref, search or page through all operations, inspect findings, rank improvement investigations, inspect encoded activation fusion, compare source-pinned static delegate eligibility, or explicitly analyze weight distributions, channels, similarity, singular spectra, sparsity and quantization with section=weights and optional weight_view. Weight analysis reads payloads on demand with explicit decoder/budget coverage (128 MiB widget limit). Reuse the ChatGPT-authorized file and the exact SHA-256 from its previous DEEPBOM result. section=profiles lists available backend profiles; query.target selects only a TFLite CPU planning profile from capabilities. The browser computes the query from the shared Evidence IR and returns a bounded result; model bytes are not sent to DEEPBOM. Static candidate eligibility is not observed placement, speed, accuracy, or runtime fusion. Do not invent findings while browser_query_started is pending.
입력 스키마
{
"type": "object",
"properties": {
"file": {
"$ref": "#/$defs/OpenAIFile"
},
"expected_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"analysis_depth": {
"type": "string",
"enum": [
"structure",
"payload_integrity"
],
"default": "structure",
"description": "Use structure unless the user explicitly asks to inspect serialized tensor payload values. Payload integrity can require reading the complete attachment."
},
"query": {
"type": "object",
"additionalProperties": false,
"properties": {
"section": {
"type": "string",
"enum": [
"operators",
"operator",
"findings",
"placement",
"fusion",
"improvements",
"profiles",
"weights"
]
},
"subject_ref": {
"type": "string",
"minLength": 1,
"maxLength": 512,
"description": "Exact Model IR subject_ref from a previous result; preferred over an index."
},
"source_index": {
"type": "integer",
"minimum": 0,
"description": "Native serialized operator index, not display order. Ambiguous indices require subject_ref."
},
"search": {
"type": "string",
"maxLength": 160,
"description": "Literal case-insensitive filter over row names and references."
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 40,
"default": 20
},
"profile_ids": {
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 128
},
"uniqueItems": true,
"maxItems": 4,
"description": "Exact static backend profile IDs returned by section=profiles. Independent eligibility profiles, not runtime assignments."
},
"target": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"description": "Optional TFLite CPU planning profile ID from capabilities. Not detected hardware or a GPU delegate selector."
},
"weight_view": {
"type": "string",
"enum": [
"distribution",
"channels",
"similarity",
"spectrum",
"sparsity",
"quantization"
],
"description": "Only for section=weights: explicitly opt into bounded payload analysis; use returned weight subject_ref to select a tensor. Default distribution."
}
},
"required": [
"section"
]
}
},
"required": [
"file",
"expected_sha256",
"query"
],
"$defs": {
"OpenAIFile": {
"type": "object",
"properties": {
"download_url": {
"type": "string"
},
"file_id": {
"type": "string"
},
"mime_type": {
"type": "string"
},
"file_name": {
"type": "string"
}
},
"required": [
"download_url",
"file_id"
],
"additionalProperties": false
}
},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"status": {
"type": "string",
"const": "browser_query_started"
},
"analyzer_version": {
"type": "string"
},
"expected_sha256": {
"type": "string"
},
"analysis_depth": {
"type": "string",
"enum": [
"structure",
"payload_integrity"
],
"default": "structure",
"description": "Use structure unless the user explicitly asks to inspect serialized tensor payload values. Payload integrity can require reading the complete attachment."
},
"query": {
"type": "object",
"additionalProperties": false,
"properties": {
"section": {
"type": "string",
"enum": [
"operators",
"operator",
"findings",
"placement",
"fusion",
"improvements",
"profiles",
"weights"
]
},
"subject_ref": {
"type": "string",
"minLength": 1,
"maxLength": 512,
"description": "Exact Model IR subject_ref from a previous result; preferred over an index."
},
"source_index": {
"type": "integer",
"minimum": 0,
"description": "Native serialized operator index, not display order. Ambiguous indices require subject_ref."
},
"search": {
"type": "string",
"maxLength": 160,
"description": "Literal case-insensitive filter over row names and references."
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 40,
"default": 20
},
"profile_ids": {
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 128
},
"uniqueItems": true,
"maxItems": 4,
"description": "Exact static backend profile IDs returned by section=profiles. Independent eligibility profiles, not runtime assignments."
},
"target": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"description": "Optional TFLite CPU planning profile ID from capabilities. Not detected hardware or a GPU delegate selector."
},
"weight_view": {
"type": "string",
"enum": [
"distribution",
"channels",
"similarity",
"spectrum",
"sparsity",
"quantization"
],
"description": "Only for section=weights: explicitly opt into bounded payload analysis; use returned weight subject_ref to select a tensor. Default distribution."
}
},
"required": [
"section"
]
}
},
"required": [
"status",
"analyzer_version",
"expected_sha256",
"analysis_depth",
"query"
],
"additionalProperties": false
}🟢deepbom_publish_query(result)
Component-only: validates and returns a bounded Evidence IR query projection for the same attachment. No model bytes, state persistence, or runtime execution. Result digests establish consistency, not independent server attestation.
입력 스키마
{
"type": "object",
"properties": {
"result": {
"type": "object",
"additionalProperties": false,
"properties": {
"schema": {
"const": "deepbom.evidence_query_result.v1",
"type": "string"
},
"analyzer_version": {
"type": "string"
},
"analysis_location": {
"const": "chatgpt_browser_sandbox",
"type": "string"
},
"artifact": {
"type": "object",
"additionalProperties": false,
"properties": {
"filename": {
"type": "string"
},
"format": {
"type": "string"
},
"sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
}
},
"required": [
"filename",
"format",
"sha256"
]
},
"model_ir_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"query": {
"type": "object",
"additionalProperties": false,
"properties": {
"section": {
"type": "string",
"enum": [
"operators",
"operator",
"findings",
"placement",
"fusion",
"improvements",
"profiles",
"weights"
]
},
"subject_ref": {
"type": "string",
"minLength": 1,
"maxLength": 512,
"description": "Exact Model IR subject_ref from a previous result; preferred over an index."
},
"source_index": {
"type": "integer",
"minimum": 0,
"description": "Native serialized operator index, not display order. Ambiguous indices require subject_ref."
},
"search": {
"type": "string",
"maxLength": 160,
"description": "Literal case-insensitive filter over row names and references."
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 40,
"default": 20
},
"profile_ids": {
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 128
},
"uniqueItems": true,
"maxItems": 4,
"description": "Exact static backend profile IDs returned by section=profiles. Independent eligibility profiles, not runtime assignments."
},
"target": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"description": "Optional TFLite CPU planning profile ID from capabilities. Not detected hardware or a GPU delegate selector."
},
"weight_view": {
"type": "string",
"enum": [
"distribution",
"channels",
"similarity",
"spectrum",
"sparsity",
"quantization"
],
"description": "Only for section=weights: explicitly opt into bounded payload analysis; use returned weight subject_ref to select a tensor. Default distribution."
}
},
"required": [
"section"
]
},
"query_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"status": {
"type": "string",
"enum": [
"complete",
"partial",
"not_assessable",
"no_matches"
]
},
"coverage": {
"type": "object",
"additionalProperties": false,
"properties": {
"total_rows": {
"type": "integer",
"minimum": 0
},
"matched_rows": {
"type": "integer",
"minimum": 0
},
"returned_rows": {
"type": "integer",
"minimum": 0,
"maximum": 40
},
"offset": {
"type": "integer",
"minimum": 0
},
"next_offset": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"detail_truncated": {
"type": "boolean"
}
},
"required": [
"total_rows",
"matched_rows",
"returned_rows",
"offset",
"next_offset",
"detail_truncated"
]
},
"context": {
"type": "object"
},
"rows": {
"type": "array",
"maxItems": 40,
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"subject_ref": {
"type": "string"
},
"kind": {
"type": "string"
},
"title": {
"type": "string"
},
"details": {
"type": "object"
},
"detail_truncations": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"subject_ref",
"kind",
"title",
"details",
"detail_truncations"
]
}
},
"evidence_boundary": {
"type": "string"
},
"transfer_boundary": {
"type": "string",
"const": "model_bytes_not_sent_to_deepbom_service"
},
"result_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
}
},
"required": [
"schema",
"analyzer_version",
"analysis_location",
"artifact",
"model_ir_sha256",
"query",
"query_sha256",
"status",
"coverage",
"context",
"rows",
"evidence_boundary",
"transfer_boundary",
"result_sha256"
]
}
},
"required": [
"result"
],
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"schema": {
"const": "deepbom.evidence_query_result.v1",
"type": "string"
},
"analyzer_version": {
"type": "string"
},
"analysis_location": {
"const": "chatgpt_browser_sandbox",
"type": "string"
},
"artifact": {
"type": "object",
"additionalProperties": false,
"properties": {
"filename": {
"type": "string"
},
"format": {
"type": "string"
},
"sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
}
},
"required": [
"filename",
"format",
"sha256"
]
},
"model_ir_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"query": {
"type": "object",
"additionalProperties": false,
"properties": {
"section": {
"type": "string",
"enum": [
"operators",
"operator",
"findings",
"placement",
"fusion",
"improvements",
"profiles",
"weights"
]
},
"subject_ref": {
"type": "string",
"minLength": 1,
"maxLength": 512,
"description": "Exact Model IR subject_ref from a previous result; preferred over an index."
},
"source_index": {
"type": "integer",
"minimum": 0,
"description": "Native serialized operator index, not display order. Ambiguous indices require subject_ref."
},
"search": {
"type": "string",
"maxLength": 160,
"description": "Literal case-insensitive filter over row names and references."
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 40,
"default": 20
},
"profile_ids": {
"type": "array",
"items": {
"type": "string",
"minLength": 1,
"maxLength": 128
},
"uniqueItems": true,
"maxItems": 4,
"description": "Exact static backend profile IDs returned by section=profiles. Independent eligibility profiles, not runtime assignments."
},
"target": {
"type": "string",
"minLength": 1,
"maxLength": 128,
"description": "Optional TFLite CPU planning profile ID from capabilities. Not detected hardware or a GPU delegate selector."
},
"weight_view": {
"type": "string",
"enum": [
"distribution",
"channels",
"similarity",
"spectrum",
"sparsity",
"quantization"
],
"description": "Only for section=weights: explicitly opt into bounded payload analysis; use returned weight subject_ref to select a tensor. Default distribution."
}
},
"required": [
"section"
]
},
"query_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
},
"status": {
"type": "string",
"enum": [
"complete",
"partial",
"not_assessable",
"no_matches"
]
},
"coverage": {
"type": "object",
"additionalProperties": false,
"properties": {
"total_rows": {
"type": "integer",
"minimum": 0
},
"matched_rows": {
"type": "integer",
"minimum": 0
},
"returned_rows": {
"type": "integer",
"minimum": 0,
"maximum": 40
},
"offset": {
"type": "integer",
"minimum": 0
},
"next_offset": {
"type": [
"integer",
"null"
],
"minimum": 0
},
"detail_truncated": {
"type": "boolean"
}
},
"required": [
"total_rows",
"matched_rows",
"returned_rows",
"offset",
"next_offset",
"detail_truncated"
]
},
"context": {
"type": "object"
},
"rows": {
"type": "array",
"maxItems": 40,
"items": {
"type": "object",
"additionalProperties": false,
"properties": {
"subject_ref": {
"type": "string"
},
"kind": {
"type": "string"
},
"title": {
"type": "string"
},
"details": {
"type": "object"
},
"detail_truncations": {
"type": "array",
"items": {
"type": "string"
}
}
},
"required": [
"subject_ref",
"kind",
"title",
"details",
"detail_truncations"
]
}
},
"evidence_boundary": {
"type": "string"
},
"transfer_boundary": {
"type": "string",
"const": "model_bytes_not_sent_to_deepbom_service"
},
"result_sha256": {
"type": "string",
"pattern": "^[a-f0-9]{64}$"
}
},
"required": [
"schema",
"analyzer_version",
"analysis_location",
"artifact",
"model_ir_sha256",
"query",
"query_sha256",
"status",
"coverage",
"context",
"rows",
"evidence_boundary",
"transfer_boundary",
"result_sha256"
],
"additionalProperties": false
}🟢deepbom_workflow_guide(workflow, format)
Use to discover how to answer a model-analysis question across ChatGPT, the interactive deepbom.org workspace and the local CLI. Returns real query sections, visualization/export actions, explicit web continuation links, required inputs, CLI argument templates and evidence limits for weights, pruning investigation, comparison, BOM verification, metadata/OMOP, activation evidence, runtime, batch/CI and integrations. No attachment is required. This is guidance, not a completed analysis or local command execution. Prefer answering from existing evidence; inspect supported follow-ups with deepbom_query_file before offering web continuation for richer interaction. Website links transfer only a workflow ID, never model data.
입력 스키마
{
"type": "object",
"properties": {
"workflow": {
"type": "string",
"enum": [
"all",
"audit",
"layers",
"findings",
"quantization",
"placement",
"fusion",
"visualization",
"weights",
"pruning",
"compare",
"redesign",
"exports",
"verify",
"provenance",
"activation",
"runtime",
"batch",
"integrations"
],
"default": "all"
},
"format": {
"type": "string",
"enum": [
"tflite",
"onnx",
"gguf",
"safetensors",
"coreml",
"executorch"
],
"description": "Optional known artifact format; filters applicable workflows, not per-file analysis coverage."
}
},
"additionalProperties": false
}출력 스키마
{
"type": "object",
"properties": {
"schema": {
"type": "string"
},
"catalog_version": {
"type": "string"
},
"status": {
"type": "string"
},
"format": {
"type": [
"string",
"null"
]
},
"workflows": {
"type": "array",
"items": {
"type": "object"
}
},
"boundary": {
"type": "string"
}
},
"required": [
"schema",
"catalog_version",
"status",
"format",
"workflows",
"boundary"
],
"additionalProperties": false
}커뮤니티
증거
최근 관측
검증됨버전이 기록되지 않음도구 7개
검증됨버전이 기록되지 않음도구 4개
검증됨버전이 기록되지 않음도구 4개