govagent 0.2.0

The Governance-First Framework for Agentic AI

govAgent: The Enterprise Protocol for Agentic AI

The Governance-First Framework for Production-Grade Autonomous Systems.

GovAgent provides a high-abstraction Control Plane for agentic AI. Built with a Chain of Accountability, this lightweight framework is engineered for Technology Directors and AI Strategists to move autonomous systems from experimental sandboxes into governed, production environments.

The v0.2.0 Stable Release introduces a persistent, bi-directional Judiciary layer, ensuring that high-risk AI actions are always subject to human verification before execution.

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🏗️ Core Pillars: The Chain of Accountability

GovAgent replaces "Black Box" reasoning with a transparent, governed loop:

1. Policy (The Law): Declarative boundaries and "Rules of Engagement" defined by stakeholders in policy.yaml.
2. Guards (The Enforcement): Real-time circuit breakers that intercept agent intent before API execution to prevent budget or security breaches.
3. HITL (The Judiciary): Synchronous Human-in-the-Loop escalation. High-risk actions are physically blocked until an explicit "Approve" or "Reject" signal is received via Slack or CLI.
4. Telemetry (The Evidence): Forensic-grade audit trails providing an immutable ledger of compliance and real-world ROI.

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🇪🇺 EU AI Act Alignment

GovAgent is architected to meet the rigorous transparency and oversight standards for High-Risk AI Systems:

• Human Oversight (Article 14): Native HITL adapters ensure high-risk systems are overseen by natural persons in real-time.
• Risk Management (Article 9): Automated policy enforcement identifies and mitigates operational risks before they manifest.
• Traceability (Article 12): Forensic telemetry captures who approved an action and when, satisfying the "Chain of Accountability" required for regulatory audits.

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🛠️ Key Capabilities (v0.2.0 Stable)

• @tool Registry: A type-safe decorator that auto-maps Python functions to policy permissions (risk level, category, signature).
• Socket Mode Handshake: Secure, persistent WebSocket connections for judiciary oversight without exposing public endpoints.
• Financial Circuit Breakers: Real-time monitoring of session spend with automated halting when budget caps are reached.
• Constitutional Startup Check: Refuses to boot if tool code and policy permissions do not match, eliminating "Shadow AI".
• Zero-Trust Guardrails: Hardened whitelisting for all agent actions and web domain access.

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🗺️ Strategic Roadmap

✅ v0.2.0: Operational Safety (Current Stable)

• Synchronous HITL: Full implementation of Slack and CLI adapters for real-time intervention.
• Legislative Registry: Stabilized @tool decorator for type-safe permission mapping.
• Forensic Telemetry: Real-time ROI and audit trail generation.

🚀 v0.3.0: Enterprise Connectivity (Next)

• Fiscal Ceilings: Recursive approval for multi-agent sub-tasks and "Total Cost of Operation" (TCO) guardrails.
• Cloud Exporters: Native integrations for enterprise logging stacks like AWS CloudWatch and Azure Monitor.
• Dynamic Budgeting: Real-time API pricing integration for penny-accurate cost tracking.

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📖 Usage Example: Controlled Execution

from govagent.agent import ExecutiveAgent
from govagent.policy import Policy

# Load Hardened Policy (The Law)
policy = Policy.from_yaml("policies/enterprise_audit_policy.yaml")

# Initialize Executive Agent
agent = ExecutiveAgent(
    persona="Technology Director",
    policy=policy,
    model_client=YourModelClient()
)

# Execute Governed Task
# High-risk tools (e.g., payments) will pause and alert Slack.
report = await agent.execute("Analyze Q4 market shifts and authorize $5k payment.")
print(f"Status: {report.status} | ROI: ${report.estimated_cost_usd}")

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"Governance is not a constraint; it is the catalyst for enterprise AI adoption."

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Author Stamp

• Framework: GovAgent v0.2.0 (Stable)
• Status: Active / Open-Source Standard
• Compliance: Designed for Enterprise-Grade Accountability