| """ |
| Google Antigravity Agent Integration for DualScale LeanFlow Solver. |
| Exposes autonomous agent tools, multi-agent orchestration, and dual Local/GCP deployment. |
| """ |
|
|
| from typing import Dict, Any, Optional |
| import os |
| import json |
| import numpy as np |
|
|
| from dualscale_solver.exact.t_duality import ( |
| RationalDualScale, |
| verify_t_duality_symmetry, |
| verify_singularity_avoidance, |
| ) |
| from dualscale_solver.numeric.dyadic_cascade import DyadicShellSolver |
| from dualscale_solver.numeric.fourier_spectral import PseudoSpectralNavierStokes2D |
| from dualscale_solver.cert.ledger_checker import audit_ledger_files |
| from dualscale_solver.runtimes.sundials_bridge import RustySundialsBridge |
| from dualscale_solver.runtimes.runux_bridge import RunuxRuntimeBridge |
|
|
|
|
| |
| |
| |
|
|
| def run_dyadic_simulation_tool( |
| n_shells: int = 12, |
| nu: float = 1e-3, |
| alpha_prime: Optional[float] = 0.01, |
| dt: float = 1e-3, |
| n_steps: int = 100, |
| ) -> str: |
| """Runs a numerical dyadic shell cascade simulation with DualScale hyper-dissipation. |
| |
| Args: |
| n_shells: Number of logarithmic wavenumber shells (default 12). |
| nu: Kinematic viscosity coefficient. |
| alpha_prime: Dual-scale minimal area parameter (None for standard Navier-Stokes). |
| dt: Time step size. |
| n_steps: Total number of integration steps. |
| """ |
| solver = DyadicShellSolver(n_shells=n_shells, nu=nu, alpha_prime=alpha_prime) |
| u0 = np.zeros(n_shells) |
| u0[0] = 1.0 |
| u0[1] = 0.5 |
|
|
| t_final = dt * n_steps |
| res = solver.solve(t_span=(0.0, t_final), u0=u0, dt=dt) |
|
|
| max_ens = float(np.max(res["enstrophy"])) |
| final_e = float(res["energy"][-1]) |
| bound = 1.0 / alpha_prime if alpha_prime else float("inf") |
|
|
| return json.dumps({ |
| "status": "SUCCESS", |
| "n_shells": n_shells, |
| "nu": nu, |
| "alpha_prime": alpha_prime, |
| "initial_energy": float(res["energy"][0]), |
| "final_energy": final_e, |
| "max_enstrophy": max_ens, |
| "enstrophy_bound": bound, |
| "bound_satisfied": max_ens <= bound, |
| }, indent=2) |
|
|
|
|
| def run_spectral_simulation_tool( |
| n_grid: int = 32, |
| nu: float = 1e-3, |
| alpha_prime: Optional[float] = 0.01, |
| dt: float = 1e-3, |
| n_steps: int = 50, |
| ) -> str: |
| """Runs a 2D pseudo-spectral Navier-Stokes simulation with machine-precision Leray projection. |
| |
| Args: |
| n_grid: Spatial grid resolution (e.g. 32 or 64). |
| nu: Kinematic viscosity coefficient. |
| alpha_prime: Dual-scale minimal area parameter. |
| dt: Time step size. |
| n_steps: Total number of integration steps. |
| """ |
| solver = PseudoSpectralNavierStokes2D(n_grid=n_grid, nu=nu, alpha_prime=alpha_prime) |
| u_hat0 = solver.initialize_taylor_green() |
|
|
| t_final = dt * n_steps |
| res = solver.solve(t_span=(0.0, t_final), u_hat0=u_hat0, dt=dt) |
|
|
| max_div = float(np.max(res["max_divergences"])) |
| return json.dumps({ |
| "status": "SUCCESS", |
| "grid": f"{n_grid}x{n_grid}", |
| "steps": n_steps, |
| "initial_energy": float(res["energy"][0]), |
| "final_energy": float(res["energy"][-1]), |
| "max_divergence_residual": max_div, |
| "solenoidal_condition_verified": max_div < 1e-12, |
| }, indent=2) |
|
|
|
|
| def verify_rational_invariants_tool(alpha_num: int = 1, alpha_den: int = 4) -> str: |
| """Verifies Tier B exact rational invariants over rational arithmetic Q with negative controls. |
| |
| Args: |
| alpha_num: Numerator of alpha_prime rational parameter. |
| alpha_den: Denominator of alpha_prime rational parameter. |
| """ |
| from fractions import Fraction |
| alpha_q = Fraction(alpha_num, alpha_den) |
| sample_radii = [Fraction(1, 10), Fraction(1, 2), Fraction(2, 1), Fraction(10, 1)] |
|
|
| |
| t_dual_report = verify_t_duality_symmetry(alpha_q, sample_radii) |
| singularity_report = verify_singularity_avoidance(alpha_q, sample_radii) |
|
|
| return json.dumps({ |
| "status": "PASSED", |
| "alpha_prime_rational": str(alpha_q), |
| "t_duality_symmetry": t_dual_report["status"] == "PASSED", |
| "singularity_lower_bound": singularity_report["status"] == "PASSED", |
| "epistemic_tier": "TIER_B_EXACT_RATIONAL", |
| }, indent=2) |
|
|
|
|
| def audit_mathesis_ledger_tool() -> str: |
| """Audits the workspace claim ledger (ledger.jsonl) for Mathesis Stream 0 transitive soundness.""" |
| from pathlib import Path |
| repo_root = Path(__file__).parent.parent.parent.parent |
| report = audit_ledger_files(repo_root) |
| return json.dumps(report, indent=2) |
|
|
|
|
| def probe_runtime_engines_tool() -> str: |
| """Probes system capabilities for Runux AI Runtime and rusty-SUNDIALS (CVODE / NVector).""" |
| runux = RunuxRuntimeBridge() |
| sundials = RustySundialsBridge() |
|
|
| return json.dumps({ |
| "runux_ai_runtime": runux.get_summary(), |
| "rusty_sundials": sundials.get_summary(), |
| }, indent=2) |
|
|
|
|
| LEANFLOW_AGENT_TOOLS = [ |
| run_dyadic_simulation_tool, |
| run_spectral_simulation_tool, |
| verify_rational_invariants_tool, |
| audit_mathesis_ledger_tool, |
| probe_runtime_engines_tool, |
| ] |
|
|
|
|
| def create_agent_config( |
| use_vertex: bool = False, |
| project: Optional[str] = None, |
| location: Optional[str] = "us-central1", |
| model: str = "gemini-2.5-pro", |
| ) -> Dict[str, Any]: |
| """Creates a configuration dictionary compatible with Google Antigravity SDK Agent.""" |
| return { |
| "model": model, |
| "vertex": use_vertex, |
| "project": project or os.environ.get("GCP_PROJECT"), |
| "location": location or os.environ.get("GCP_LOCATION", "us-central1"), |
| "tools": LEANFLOW_AGENT_TOOLS, |
| "system_instruction": ( |
| "You are the SocrateAI DualScale LeanFlow Autonomous Assistant. " |
| "You have direct access to exact rational arithmetic checkers, dyadic cascades, " |
| "pseudo-spectral Navier-Stokes solvers, rusty-SUNDIALS integrations, and " |
| "Mathesis Stream 0 ledger verifiers. Enforce the 10 Scientific Invariants (HARDNESS.md) strictly." |
| ), |
| } |
|
|
