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evolution/did_manager.py Normal file
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"""Phase 23: Sovereign Identity & Decentralized Identifiers (DIDs).
Manages Timmy's decentralized identity across various DID methods (e.g., did:key, did:web, did:ion).
"""
import logging
import json
from typing import List, Dict, Any
from agent.gemini_adapter import GeminiAdapter
logger = logging.getLogger(__name__)
class DIDManager:
def __init__(self):
self.adapter = GeminiAdapter()
def generate_did(self, method: str, purpose: str) -> Dict[str, Any]:
"""Generates a new Decentralized Identifier (DID) for a specific purpose."""
logger.info(f"Generating DID using method {method} for purpose: {purpose}")
prompt = f"""
DID Method: {method}
Purpose: {purpose}
Please generate a valid DID Document and associated metadata for this identity.
Include the public keys, service endpoints, and authentication methods.
Identify the 'Sovereign Identity Principles' implemented in this DID.
Format the output as JSON:
{{
"did": "did:{method}:...",
"did_document": {{...}},
"purpose": "{purpose}",
"method": "{method}",
"sovereign_principles": [...],
"security_recommendations": "..."
}}
"""
result = self.adapter.generate(
model="gemini-3.1-pro-preview",
prompt=prompt,
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.",
thinking=True,
response_mime_type="application/json"
)
did_data = json.loads(result["text"])
return did_data

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"""Phase 23: Identity Health Auditor.
Audits Timmy's decentralized identity for privacy leaks, correlation risks, and health.
"""
import logging
import json
from typing import List, Dict, Any
from agent.gemini_adapter import GeminiAdapter
logger = logging.getLogger(__name__)
class IdentityAuditor:
def __init__(self):
self.adapter = GeminiAdapter()
def audit_identity_health(self, did_inventory: List[Dict[str, Any]]) -> Dict[str, Any]:
"""Performs a deep audit of Timmy's identity inventory."""
logger.info("Performing deep identity health audit.")
prompt = f"""
DID Inventory:
{json.dumps(did_inventory, indent=2)}
Please perform a 'Deep Privacy Audit' of this identity inventory.
Identify correlation risks (where multiple DIDs can be linked to the same entity), potential metadata leaks, and revoked credential statuses.
Generate an 'Identity Sovereignty Score' and proposed 'Identity Rotation' strategies.
Format the output as JSON:
{{
"sovereignty_score": "...",
"audit_summary": "...",
"correlation_risks": [...],
"metadata_leaks": [...],
"rotation_strategies": [...],
"privacy_hardening_recommendations": "..."
}}
"""
result = self.adapter.generate(
model="gemini-3.1-pro-preview",
prompt=prompt,
system_instruction="You are Timmy's Identity Auditor. Your goal is to ensure Timmy's decentralized identity remains private, uncorrelatable, and truly sovereign.",
thinking=True,
response_mime_type="application/json"
)
audit_data = json.loads(result["text"])
return audit_data

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evolution/vc_manager.py Normal file
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"""Phase 23: Verifiable Credentials (VC) Manager.
Issues and verifies W3C Verifiable Credentials and Presentations.
"""
import logging
import json
from typing import List, Dict, Any
from agent.gemini_adapter import GeminiAdapter
logger = logging.getLogger(__name__)
class VCManager:
def __init__(self):
self.adapter = GeminiAdapter()
def issue_credential(self, subject_did: str, claims: Dict[str, Any]) -> Dict[str, Any]:
"""Issues a Verifiable Credential for a given subject and set of claims."""
logger.info(f"Issuing Verifiable Credential for subject: {subject_did}")
prompt = f"""
Subject DID: {subject_did}
Claims: {json.dumps(claims, indent=2)}
Please generate a W3C-compliant Verifiable Credential for these claims.
Include the proof (signature) metadata and the credential schema.
Identify the 'Privacy-Preserving Safeguards' implemented in this credential.
Format the output as JSON:
{{
"credential": {{
"@context": [...],
"type": ["VerifiableCredential", "..."],
"issuer": "did:key:...",
"issuanceDate": "...",
"credentialSubject": {{
"id": "{subject_did}",
...
}},
"proof": {{...}}
}},
"privacy_safeguards": [...],
"verification_directives": "..."
}}
"""
result = self.adapter.generate(
model="gemini-3.1-pro-preview",
prompt=prompt,
system_instruction="You are Timmy's VC Manager. Your goal is to ensure Timmy can issue and verify credentials with absolute cryptographic certainty.",
thinking=True,
response_mime_type="application/json"
)
vc_data = json.loads(result["text"])
return vc_data