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chore: release v3.2.2 — fix @noble subpath exports resolution (#1336)
Patch to fix ERR_PACKAGE_PATH_NOT_EXPORTED at runtime. The compiled JS now uses .js extensions in @noble/* subpath imports matching the packages' exports field. Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
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agent-governance-dotnet/src/AgentGovernance/AgentGovernance.csproj

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<TargetFramework>net8.0</TargetFramework>
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<RootNamespace>AgentGovernance</RootNamespace>
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<AssemblyName>AgentGovernance</AssemblyName>
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<Version>3.2.1</Version>
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<Version>3.2.2</Version>
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<Description>Agent Governance Toolkit — .NET SDK for policy enforcement, rate limiting, zero-trust identity, OpenTelemetry metrics, and audit logging for autonomous AI agents. Compatible with Microsoft Agent Framework and Semantic Kernel.</Description>
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<PackageId>Microsoft.AgentGovernance</PackageId>
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<Authors>Microsoft</Authors>

packages/agent-compliance/pyproject.toml

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[project]
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name = "agent_governance_toolkit"
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version = "3.2.1"
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version = "3.2.2"
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description = "Public Preview — Unified installer and runtime policy enforcement for the Agent Governance Toolkit"
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readme = "README.md"
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license = {text = "MIT"}

packages/agent-compliance/src/agent_compliance/__init__.py

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- agent-lightning: RL training governance
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"""
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__version__ = "3.2.1"
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__version__ = "3.2.2"
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# Re-export core components for convenience
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try:

packages/agent-hypervisor/pyproject.toml

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[project]
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name = "agent_hypervisor"
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version = "3.2.1"
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version = "3.2.2"
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description = "Public Preview — Agent Hypervisor: Runtime supervisor for multi-agent Shared Sessions with Execution Rings, Joint Liability, Saga Orchestration, and hash-chained audit trails"
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readme = "README.md"
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license = {text = "MIT"}

packages/agent-hypervisor/src/hypervisor/__init__.py

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Version: 2.0.0
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"""
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__version__ = "3.2.1"
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__version__ = "3.2.2"
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# Centralized constants
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from hypervisor import constants # noqa: F401

packages/agent-lightning/pyproject.toml

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[project]
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name = "agentmesh_lightning"
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version = "3.2.1"
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version = "3.2.2"
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description = "Public Preview — Agent-Lightning RL integration for the Agent Governance Toolkit: governed training with policy enforcement"
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readme = "README.md"
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license = {text = "MIT"}

packages/agent-marketplace/pyproject.toml

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[project]
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name = "agentmesh_marketplace"
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version = "3.2.1"
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version = "3.2.2"
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description = "Plugin marketplace for the Agent Governance Toolkit — discover, install, verify, and manage plugins"
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readme = "README.md"
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license = {text = "MIT"}

packages/agent-mesh/packages/langchain-agentmesh/langchain_agentmesh/__init__.py

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from langchain_agentmesh.tools import TrustGatedTool, TrustedToolExecutor
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from langchain_agentmesh.callbacks import TrustCallbackHandler
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__version__ = "3.2.1"
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__version__ = "3.2.2"
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__all__ = [
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# Identity

packages/agent-mesh/packages/langchain-agentmesh/pyproject.toml

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[project]
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name = "langchain_agentmesh"
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version = "3.2.1"
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version = "3.2.2"
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description = "AgentMesh trust layer integration for LangChain - cryptographic identity and trust verification for AI agents"
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readme = "README.md"
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license = {text = "Apache-2.0"}

packages/agent-mesh/packages/mcp-proxy/package.json

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{
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"name": "@microsoft/agentmesh-mcp-proxy",
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"version": "3.2.1",
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"version": "3.2.2",
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"description": "Public Preview \u2014 Security proxy for MCP servers: The Firewall for Model Context Protocol",
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"keywords": [
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"mcp",

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