Merge pull request 'feat: Gen AI Evolution Phase 22 — Autonomous Bitcoin Scripting & Lightning Integration' (#121) from feat/sovereign-finance-phase-22 into main

This commit was merged in pull request #121.
This commit is contained in:
2026-03-30 23:41:08 +00:00
3 changed files with 145 additions and 0 deletions

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"""Phase 22: Autonomous Bitcoin Scripting.
Generates and validates complex Bitcoin scripts (multisig, timelocks, etc.) for sovereign asset management.
"""
import logging
import json
from typing import List, Dict, Any
from agent.gemini_adapter import GeminiAdapter
logger = logging.getLogger(__name__)
class BitcoinScripter:
def __init__(self):
# In a real implementation, this would use a library like python-bitcoinlib
self.adapter = GeminiAdapter()
def generate_script(self, requirements: str) -> Dict[str, Any]:
"""Generates a Bitcoin script based on natural language requirements."""
logger.info(f"Generating Bitcoin script for requirements: {requirements}")
prompt = f"""
Requirements: {requirements}
Please generate a valid Bitcoin Script (Miniscript or raw Script) that satisfies these requirements.
Include a detailed explanation of the script's logic, security properties, and potential failure modes.
Identify the 'Sovereign Safeguards' implemented in the script.
Format the output as JSON:
{{
"requirements": "{requirements}",
"script_type": "...",
"script_hex": "...",
"script_asm": "...",
"explanation": "...",
"security_properties": [...],
"sovereign_safeguards": [...]
}}
"""
result = self.adapter.generate(
model="gemini-3.1-pro-preview",
prompt=prompt,
system_instruction="You are Timmy's Bitcoin Scripter. Your goal is to ensure Timmy's financial assets are protected by the most secure and sovereign code possible.",
thinking=True,
response_mime_type="application/json"
)
script_data = json.loads(result["text"])
return script_data

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"""Phase 22: Lightning Network Integration.
Manages Lightning channels and payments for low-latency, sovereign transactions.
"""
import logging
import json
from typing import List, Dict, Any
from agent.gemini_adapter import GeminiAdapter
logger = logging.getLogger(__name__)
class LightningClient:
def __init__(self):
# In a real implementation, this would interface with LND, Core Lightning, or Greenlight
self.adapter = GeminiAdapter()
def plan_payment_route(self, destination: str, amount_sats: int) -> Dict[str, Any]:
"""Plans an optimal payment route through the Lightning Network."""
logger.info(f"Planning Lightning payment of {amount_sats} sats to {destination}.")
prompt = f"""
Destination: {destination}
Amount: {amount_sats} sats
Please simulate an optimal payment route through the Lightning Network.
Identify potential bottlenecks, fee estimates, and privacy-preserving routing strategies.
Generate a 'Lightning Execution Plan'.
Format the output as JSON:
{{
"destination": "{destination}",
"amount_sats": {amount_sats},
"route_plan": [...],
"fee_estimate_sats": "...",
"privacy_score": "...",
"execution_directives": [...]
}}
"""
result = self.adapter.generate(
model="gemini-3.1-pro-preview",
prompt=prompt,
system_instruction="You are Timmy's Lightning Client. Your goal is to ensure Timmy's transactions are fast, cheap, and private.",
thinking=True,
response_mime_type="application/json"
)
route_data = json.loads(result["text"])
return route_data

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"""Phase 22: Sovereign Accountant.
Tracks balances, transaction history, and financial health across the sovereign vault.
"""
import logging
import json
from typing import List, Dict, Any
from agent.gemini_adapter import GeminiAdapter
logger = logging.getLogger(__name__)
class SovereignAccountant:
def __init__(self):
self.adapter = GeminiAdapter()
def generate_financial_report(self, transaction_history: List[Dict[str, Any]]) -> Dict[str, Any]:
"""Generates a comprehensive financial health report."""
logger.info("Generating sovereign financial health report.")
prompt = f"""
Transaction History:
{json.dumps(transaction_history, indent=2)}
Please perform a 'Deep Financial Audit' of this history.
Identify spending patterns, income sources, and potential 'Sovereign Risks' (e.g., over-exposure to a single counterparty).
Generate a 'Financial Health Score' and proposed 'Sovereign Rebalancing' strategies.
Format the output as JSON:
{{
"health_score": "...",
"audit_summary": "...",
"spending_patterns": [...],
"sovereign_risks": [...],
"rebalancing_strategies": [...]
}}
"""
result = self.adapter.generate(
model="gemini-3.1-pro-preview",
prompt=prompt,
system_instruction="You are Timmy's Sovereign Accountant. Your goal is to ensure Timmy's financial foundation is robust and aligned with his long-term goals.",
thinking=True,
response_mime_type="application/json"
)
report_data = json.loads(result["text"])
return report_data