01 / Access Flow

Access एक governed developer path है.

API कोई loose key drop नहीं है. Dev Credits, Dev Schooling, key provisioning, SDK download, local workspace और first call मिलकर एक controlled route बनाते हैं.

Access contract
  • API usage के लिए Dev Credits आवश्यक हैं.
  • Dev Schooling API key, private key और public key reference provision करता है.
  • SDK download में Engine, TerminalRunner, Extension example, 12 Python files वाला PythonRunner और command documentation शामिल हैं.
छह-step access route
  1. 01

    Dev Credits

    Value gate

    Dev Credits API usage को unlock करते हैं और किसी भी operation के चलने से पहले execution को developer balance से जोड़ते हैं.

  2. 03

    Keys

    Access material

    Workflow API access material provision करता है, जबकि private key handling request payloads से बाहर रहती है.

  3. 04

    SDK Download

    Runtime package

    SDK में Engine, TerminalRunner, Extension example और 12 Python files वाला PythonRunner शामिल है.

  4. 05

    Workspace

    Local control

    Developer disconnected snippets की जगह local SDK workspace से शुरू करता है.

  5. 06

    First API Call

    Execution start

    पहला call M13 gateway के खिलाफ command, input, run ID, stage ID और operation ID का उपयोग करता है.

02 / Curl Commands

एक command चुनें और API test करें.

हर command वही M13 gateway contract इस्तेमाल करता है: Authorization header, public key reference, JSON payload और traceable run, stage, operation IDs.

m13_fast.curl
1
03 / Payload Explorer

एक real Attack response inspect करें.

यह उदाहरण real policy decision के विरुद्ध attack command भेजता है और full public response दिखाता है: content, artifact, Server IRSS, usage evidence, Dev Credit billing, ledger reference और local persistence status.

call explore करें
Selected layer

Attack request

Request API command, attack किए जा रहे decision object और compact output constraint को दिखाती है.

यह user-controlled entry point है: command, object और output budget.
attack_request.json
1{2  "command": "attack",3  "input": "Attack the U.S. government decision dated January 15, 2025, known as the Framework for Artificial Intelligence Diffusion, to restrict and regulate access to advanced computing ICs and model weights of advanced AI systems for several countries.\n\nHard limit: max 1,000 characters total. Do not exceed this limit.\nUse compact sections only:\nverdict\nstrategic_effectiveness\nmarket_distortion\nenforcement_realism\nally_friction\nfinal_pressure_judgment",4  "run_id": "run_attack_ai_diffusion_rule_1000_...",5  "stage_id": "stage_attack_ai_diffusion_rule_1000_...",6  "operation_id": "op_attack_ai_diffusion_rule_1000_..."7}
public_response.json
1{2  "ok": true,3  "status": "success",4  "run_id": "run_attack_ai_diffusion_rule_1000_...",5  "stage_id": "stage_attack_ai_diffusion_rule_1000_...",6  "operation_id": "op_attack_ai_diffusion_rule_1000_...",7  "content": "verdict: damaged\n\nstrategic_effectiveness: Tiered country classification creates binary in/out logic that ignores fluid geopolitical alignment shifts. Adversary access routes through tier-2 jurisdictions remain open. Controls lag chip architecture cycles by 12-18 months minimum.\n\nmarket_distortion: Concentrates compute supply advantage in incumbent US firms while accelerating sovereign chip programs in excluded nations. Pushes allied-nation AI labs toward non-US architectures, fragmenting interoperability long-term.\n\nenforcement_realism: Model weights are copyable digital artifacts. Export control frameworks built for physical goods collapse against weightfile diffusion via public code mirrors, academic channels, and offshore fine-tuning. Enforcement gap is structural, not resourcing.\n\nally_friction: Tier-2 allied democracies face compliance burdens indistinguishable from adversary treatment, generating diplomatic cost disproportionate to security gain. Drives procurement diversification away from US supply chains.\n\nfinal_pressure_judgment: Framework applies Cold War export-control logic to infinitely reproducible digital assets. Kill zone is enforcement feasibility against model weight diffusion. Survives only as signaling mechanism; collapses as actual containment architecture.",8  "artifact": {9    "artifact_id": "art_...",10    "artifact_type": "generic",11    "artifact_version": "v1",12    "status": "created",13    "origin": {14      "space": "api",15      "route": "/api/m13/llm",16      "run_id": "run_attack_ai_diffusion_rule_1000_...",17      "stage_id": "stage_attack_ai_diffusion_rule_1000_...",18      "operation_id": "op_attack_ai_diffusion_rule_1000_...",19      "ledger_entry_id": "led_...",20      "server_irss_ref": null21    },22    "output": {23      "kind": "text",24      "format": "markdown"25    },26    "payload": {27      "content": "verdict: damaged\n\nstrategic_effectiveness: Tiered country classification creates binary in/out logic that ignores fluid geopolitical alignment shifts. Adversary access routes through tier-2 jurisdictions remain open. Controls lag chip architecture cycles by 12-18 months minimum.\n\nmarket_distortion: Concentrates compute supply advantage in incumbent US firms while accelerating sovereign chip programs in excluded nations. Pushes allied-nation AI labs toward non-US architectures, fragmenting interoperability long-term.\n\nenforcement_realism: Model weights are copyable digital artifacts. Export control frameworks built for physical goods collapse against weightfile diffusion via public code mirrors, academic channels, and offshore fine-tuning. Enforcement gap is structural, not resourcing.\n\nally_friction: Tier-2 allied democracies face compliance burdens indistinguishable from adversary treatment, generating diplomatic cost disproportionate to security gain. Drives procurement diversification away from US supply chains.\n\nfinal_pressure_judgment: Framework applies Cold War export-control logic to infinitely reproducible digital assets. Kill zone is enforcement feasibility against model weight diffusion. Survives only as signaling mechanism; collapses as actual containment architecture."28    },29    "metadata_ref": null,30    "created_at": "2026-07-03T10:47:22.578Z",31    "integrity": {32      "payload_hash": "sha256:...",33      "metadata_hash": null,34      "artifact_hash": "sha256:..."35    }36  },37  "server_irss": {38    "system": "M13",39    "server_irss_version": "server_irss_v1",40    "space": "api_execution",41    "route": "/api/m13/llm",42    "timestamp": "2026-07-03T10:47:22.578Z",43    "runtime": {44      "runtime_env": "staging",45      "billing_context": "staging_dev",46      "ledger_context": "staging",47      "checkout_context": "disabled_admin_grant",48      "balance_source": "staging_dev_token_balance"49    },50    "identity": {51      "user_account_ref": "usr_...",52      "api_workspace_id": "ws_...",53      "public_key_ref": "sha256:...",54      "api_key_ref": "key_...",55      "auth_status": "accepted"56    },57    "operation": {58      "run_id": "run_attack_ai_diffusion_rule_1000_...",59      "stage_id": "stage_attack_ai_diffusion_rule_1000_...",60      "operation_id": "op_attack_ai_diffusion_rule_1000_...",61      "command": "attack",62      "operation_type": "single_llm_call"63    },64    "llm": {65      "called": true,66      "provider": null,67      "adapter": "anthropic_foundry",68      "deployment": null,69      "runtime_model": "claude-opus-4-6",70      "stop_reason": "end_turn"71    },72    "usage": {73      "input_tokens": 107,74      "output_tokens": 268,75      "cached_input_tokens": 11178,76      "cache_creation_input_tokens": 0,77      "total_tokens": 11553,78      "billable_tokens": 149379    },80    "billing": {81      "required": true,82      "status": "debited",83      "debited": true,84      "charged_amount": 4,85      "billing_unit": "dev_credits",86      "balance_after": 94087    },88    "artifact": {89      "artifact_id": "art_...",90      "artifact_type": "generic",91      "status": "created",92      "payload_hash": "sha256:..."93    },94    "artifact_metadata": {95      "metadata_ref": null,96      "metadata_status": "not_created",97      "metadata_hash": null98    },99    "ledger": {100      "ledger_entry_id": "led_...",101      "ledger_entry_created": true,102      "entry_type": "llm_execution"103    },104    "execution_context": {105      "execution_context_ref": null,106      "execution_context_status": "not_required",107      "execution_type": "direct_api_call",108      "current_step_id": "llm_call",109      "current_step_kind": "llm_call",110      "current_operation_type": "single_llm_call"111    },112    "drift": {113      "state": "none",114      "origin": "none",115      "risk": "none",116      "signals": []117    },118    "status": {119      "execution_status": "success",120      "ledger_entry_created": true,121      "local_persistence_required": true,122      "api_error_code": null123    }124  },125  "execution_context": null,126  "usage": {127    "input_tokens": 107,128    "output_tokens": 268,129    "cached_input_tokens": 11178,130    "cache_creation_input_tokens": 0,131    "total_tokens": 11553,132    "billable_tokens": 1493133  },134  "billing": {135    "required": true,136    "status": "debited",137    "debited": true,138    "charged_amount": 4,139    "billing_unit": "dev_credits",140    "balance_after": 940141  },142  "ledger_entry": {143    "id": "led_...",144    "status": "created"145  },146  "local_persistence_required": true147}
04 / Start

Dev Credits से शुरू करें.

API तब ready है जब access, keys और Dev Credits ready हों. Local SDK Build में आता है — यहाँ next step activation है.

Ready to run

API access लें, calls को Dev Credits से charge करें, फिर workspace ready होने पर locally build करें.

Dev Schooling prepares access and key handling. Dev Credits make execution visible and billable. Build explains the SDK, workspace, and local runtime in depth.

Public billing
Dev Credits

Customer-facing billing charged_amount, billing_unit और balance_after के रूप में दिखता है.

Dev path
Dev Schooling

API usage Access, Key Setup और responsible workspace orientation के बाद शुरू होता है.

API surface
IRSS + Ledger

API surface response content, Server IRSS, billing, ledger और artifacts के जरिए inspectable रहती है.