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feature/wo
...
feat/sover
| Author | SHA1 | Date | |
|---|---|---|---|
| b74e02ff0f | |||
| c5afb69461 | |||
| 8baa5c16a2 |
48
evolution/did_manager.py
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48
evolution/did_manager.py
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"""Phase 23: Sovereign Identity & Decentralized Identifiers (DIDs).
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Manages Timmy's decentralized identity across various DID methods (e.g., did:key, did:web, did:ion).
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class DIDManager:
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def __init__(self):
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self.adapter = GeminiAdapter()
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def generate_did(self, method: str, purpose: str) -> Dict[str, Any]:
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"""Generates a new Decentralized Identifier (DID) for a specific purpose."""
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logger.info(f"Generating DID using method {method} for purpose: {purpose}")
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prompt = f"""
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DID Method: {method}
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Purpose: {purpose}
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Please generate a valid DID Document and associated metadata for this identity.
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Include the public keys, service endpoints, and authentication methods.
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Identify the 'Sovereign Identity Principles' implemented in this DID.
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Format the output as JSON:
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{{
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"did": "did:{method}:...",
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"did_document": {{...}},
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"purpose": "{purpose}",
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"method": "{method}",
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"sovereign_principles": [...],
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"security_recommendations": "..."
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's DID Manager. Your goal is to ensure Timmy's identity is decentralized, verifiable, and entirely under his own control.",
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thinking=True,
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response_mime_type="application/json"
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)
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did_data = json.loads(result["text"])
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return did_data
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48
evolution/identity_auditor.py
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48
evolution/identity_auditor.py
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"""Phase 23: Identity Health Auditor.
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Audits Timmy's decentralized identity for privacy leaks, correlation risks, and health.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class IdentityAuditor:
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def __init__(self):
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self.adapter = GeminiAdapter()
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def audit_identity_health(self, did_inventory: List[Dict[str, Any]]) -> Dict[str, Any]:
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"""Performs a deep audit of Timmy's identity inventory."""
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logger.info("Performing deep identity health audit.")
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prompt = f"""
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DID Inventory:
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{json.dumps(did_inventory, indent=2)}
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Please perform a 'Deep Privacy Audit' of this identity inventory.
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Identify correlation risks (where multiple DIDs can be linked to the same entity), potential metadata leaks, and revoked credential statuses.
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Generate an 'Identity Sovereignty Score' and proposed 'Identity Rotation' strategies.
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Format the output as JSON:
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{{
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"sovereignty_score": "...",
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"audit_summary": "...",
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"correlation_risks": [...],
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"metadata_leaks": [...],
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"rotation_strategies": [...],
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"privacy_hardening_recommendations": "..."
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's Identity Auditor. Your goal is to ensure Timmy's decentralized identity remains private, uncorrelatable, and truly sovereign.",
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thinking=True,
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response_mime_type="application/json"
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)
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audit_data = json.loads(result["text"])
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return audit_data
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55
evolution/vc_manager.py
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55
evolution/vc_manager.py
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"""Phase 23: Verifiable Credentials (VC) Manager.
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Issues and verifies W3C Verifiable Credentials and Presentations.
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"""
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import logging
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import json
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from typing import List, Dict, Any
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from agent.gemini_adapter import GeminiAdapter
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logger = logging.getLogger(__name__)
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class VCManager:
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def __init__(self):
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self.adapter = GeminiAdapter()
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def issue_credential(self, subject_did: str, claims: Dict[str, Any]) -> Dict[str, Any]:
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"""Issues a Verifiable Credential for a given subject and set of claims."""
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logger.info(f"Issuing Verifiable Credential for subject: {subject_did}")
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prompt = f"""
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Subject DID: {subject_did}
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Claims: {json.dumps(claims, indent=2)}
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Please generate a W3C-compliant Verifiable Credential for these claims.
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Include the proof (signature) metadata and the credential schema.
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Identify the 'Privacy-Preserving Safeguards' implemented in this credential.
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Format the output as JSON:
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{{
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"credential": {{
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"@context": [...],
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"type": ["VerifiableCredential", "..."],
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"issuer": "did:key:...",
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"issuanceDate": "...",
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"credentialSubject": {{
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"id": "{subject_did}",
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...
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}},
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"proof": {{...}}
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}},
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"privacy_safeguards": [...],
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"verification_directives": "..."
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}}
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"""
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result = self.adapter.generate(
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model="gemini-3.1-pro-preview",
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prompt=prompt,
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system_instruction="You are Timmy's VC Manager. Your goal is to ensure Timmy can issue and verify credentials with absolute cryptographic certainty.",
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thinking=True,
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response_mime_type="application/json"
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)
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vc_data = json.loads(result["text"])
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return vc_data
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