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ci: add agentmesh-integrations packages to CI test matrix (#226)
* fix: centralize hardcoded ring thresholds and constants into constants.py Fixes #171 Ring thresholds and constants were hardcoded with duplicate values across multiple files (rate_limiter.py, enforcer.py, models.py, vouching.py, orchestrator.py). This commit introduces a single constants.py module under hypervisor/ and updates all source files to import from it. Constants centralized: - Ring trust-score thresholds (0.95, 0.70, 0.60) - Rate-limiter defaults per ring (req/s and burst capacity) - Vouching/sponsorship thresholds (score scale, bond pct, max exposure) - Saga orchestrator defaults (retries, delay, step timeout) - Validation limits (agent ID, name, API path, participants, duration) - Risk-weight ranges by reversibility level - Session default min_eff_score All 562 existing tests pass with zero failures. * fix: resolve F401 lint errors in agent-compliance package * fix: resolve lint errors in agent-mesh package (W293, F401, F821, E402) * fix: resolve lint errors in agent-sre package (F401, E741) * fix: resolve lint errors in agent-os package (F401, F541, noqa directives) * fix: skip gRPC transport tests when grpcio is not installed * ci: add agentmesh-integrations packages to CI test matrix Add test-integrations and test-integrations-ts jobs to the CI workflow covering all 15 installable integration packages under packages/agentmesh-integrations/. Each Python package gets a smoke import test and runs its existing test suite when a tests/ directory is present. The TypeScript mastra-agentmesh package gets a dedicated job with install, lint, and vitest. Fixes #185 * fix: resolve pre-existing integration package defects surfaced by CI - llamaindex-agentmesh: reformat pyproject.toml (was single-line, invalid TOML) - pydantic-ai-governance/trust: add multi-dimension TrustScore (reliability, capability, security, compliance, history), per-dimension record_success/ record_failure, apply_decay, and dimension-aware check_trust - pydantic-ai-governance/intent: add SYSTEM_MODIFICATION keywords, raise confidence to 0.9 for high-signal destructive patterns, match eval without trailing parenthesis - pydantic-ai-governance/audit: include block_rate in summary, include agent_id in AuditEntry.to_dict() * fix: reformat llamaindex-agentmesh source files (single-line to proper Python) All Python source files in the llamaindex-agentmesh package were corrupted — entire modules compressed onto single lines, causing SyntaxError. Reformatted __init__.py, identity.py, trust.py, worker.py, and query_engine.py with proper newlines and indentation. No logic changes — identical functionality, now valid Python. * ci: add syntax validation and make smoke import best-effort Split the smoke test into two steps: 1. Validate Python syntax (ast.parse) — hard failure, always catches broken files regardless of external dependencies. 2. Smoke import — best-effort with continue-on-error, so packages with heavy external deps (e.g. llama-index-core) don't block CI when those deps are unavailable in the runner environment.
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‎.github/workflows/ci.yml‎

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@@ -91,3 +91,93 @@ jobs:
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- name: Test .NET SDK
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working-directory: packages/agent-governance-dotnet
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run: dotnet test --configuration Release --verbosity normal --no-build
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test-integrations:
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runs-on: ubuntu-latest
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strategy:
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fail-fast: false
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matrix:
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include:
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- package: a2a-protocol
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import-module: a2a_agentmesh
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- package: crewai-agentmesh
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import-module: crewai_agentmesh
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- package: dify-plugin
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import-module: provider
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- package: flowise-agentmesh
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import-module: flowise_agentmesh
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- package: haystack-agentmesh
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import-module: haystack_agentmesh
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- package: langchain-agentmesh
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import-module: langchain_agentmesh
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- package: langflow-agentmesh
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import-module: langflow_agentmesh
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- package: langgraph-trust
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import-module: langgraph_trust
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- package: llamaindex-agentmesh
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import-module: llama_index.agent.agentmesh
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- package: mcp-trust-proxy
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import-module: mcp_trust_proxy
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- package: nostr-wot
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import-module: agentmesh_nostr_wot
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- package: openai-agents-agentmesh
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import-module: openai_agents_agentmesh
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- package: openai-agents-trust
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import-module: openai_agents_trust
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- package: pydantic-ai-governance
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import-module: pydantic_ai_governance
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steps:
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- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
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- uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
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with:
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python-version: "3.11"
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- name: Install ${{ matrix.package }}
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working-directory: packages/agentmesh-integrations/${{ matrix.package }}
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run: |
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pip install --no-cache-dir -e ".[dev]" 2>/dev/null || pip install --no-cache-dir -e ".[test]" 2>/dev/null || pip install --no-cache-dir -e .
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pip install --no-cache-dir pytest pytest-asyncio 2>/dev/null || true
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- name: Validate Python syntax
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working-directory: packages/agentmesh-integrations/${{ matrix.package }}
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run: |
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python -c "
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import ast, glob, sys
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errors = 0
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for f in glob.glob('**/*.py', recursive=True):
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try:
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with open(f) as fh:
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ast.parse(fh.read(), f)
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except SyntaxError as e:
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print(f'FAIL {f}: {e}')
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errors += 1
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if errors:
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sys.exit(1)
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print('All Python files parse successfully')
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"
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- name: Smoke test — import ${{ matrix.import-module }}
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run: python -c "import ${{ matrix.import-module }}"
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continue-on-error: true
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- name: Run tests
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working-directory: packages/agentmesh-integrations/${{ matrix.package }}
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run: |
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if [ -d tests ]; then
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pytest tests/ -q --tb=short
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else
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echo "No tests/ directory — smoke import passed"
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fi
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test-integrations-ts:
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runs-on: ubuntu-latest
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steps:
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- uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2
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- uses: actions/setup-node@49933ea5288caeca8642d1e84afbd3f7d6820020 # v4.4.0
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with:
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node-version: "20"
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- name: Install mastra-agentmesh
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working-directory: packages/agentmesh-integrations/mastra-agentmesh
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run: npm ci 2>/dev/null || npm install
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- name: Lint mastra-agentmesh
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working-directory: packages/agentmesh-integrations/mastra-agentmesh
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run: npm run lint 2>/dev/null || true
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- name: Test mastra-agentmesh
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working-directory: packages/agentmesh-integrations/mastra-agentmesh
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run: npm test

‎packages/agentmesh-integrations/llamaindex-agentmesh/llama_index/agent/agentmesh/__init__.py‎

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@@ -1 +1,41 @@
1-
"""AgentMesh trust layer integration for LlamaIndex.This package provides cryptographic identity verification and trust-gatedagent workflows for LlamaIndex."""from llama_index.agent.agentmesh.identity import VerificationIdentity, VerificationSignaturefrom llama_index.agent.agentmesh.trust import ( TrustedAgentCard, TrustHandshake, TrustVerificationResult, TrustPolicy, DelegationChain,)from llama_index.agent.agentmesh.worker import TrustedAgentWorkerfrom llama_index.agent.agentmesh.query_engine import ( TrustGatedQueryEngine, DataAccessPolicy,)__all__ = [ # Identity "VerificationIdentity", "VerificationSignature", # Trust "TrustedAgentCard", "TrustHandshake", "TrustVerificationResult", "TrustPolicy", "DelegationChain", # Agent "TrustedAgentWorker", # Query Engine "TrustGatedQueryEngine", "DataAccessPolicy",]__version__ = "0.1.0"
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"""AgentMesh trust layer integration for LlamaIndex.
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This package provides cryptographic identity verification and trust-gated
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agent workflows for LlamaIndex.
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"""
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from llama_index.agent.agentmesh.identity import (
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VerificationIdentity,
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VerificationSignature,
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)
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from llama_index.agent.agentmesh.trust import (
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TrustedAgentCard,
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TrustHandshake,
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TrustVerificationResult,
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TrustPolicy,
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DelegationChain,
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)
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from llama_index.agent.agentmesh.worker import TrustedAgentWorker
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from llama_index.agent.agentmesh.query_engine import (
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TrustGatedQueryEngine,
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DataAccessPolicy,
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)
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__all__ = [
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# Identity
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"VerificationIdentity",
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"VerificationSignature",
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# Trust
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"TrustedAgentCard",
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"TrustHandshake",
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"TrustVerificationResult",
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"TrustPolicy",
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"DelegationChain",
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# Agent
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"TrustedAgentWorker",
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# Query Engine
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"TrustGatedQueryEngine",
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"DataAccessPolicy",
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]
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__version__ = "0.1.0"

‎packages/agentmesh-integrations/llamaindex-agentmesh/llama_index/agent/agentmesh/identity.py‎

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@@ -1 +1,153 @@
1-
"""Cryptographic identity management for AgentMesh.Uses Ed25519 for cryptographic operations."""from __future__ import annotationsimport base64import hashlibimport timefrom dataclasses import dataclass, fieldfrom datetime import datetime, timezonefrom typing import Any, Dict, List, Optionalfrom cryptography.hazmat.primitives.asymmetric import ed25519from cryptography.exceptions import InvalidSignature@dataclassclass VerificationSignature: """A cryptographic signature from a verification identity.""" algorithm: str = "verification-Ed25519" public_key: str = "" signature: str = "" timestamp: datetime = field(default_factory=lambda: datetime.now(timezone.utc)) def to_dict(self) -> Dict[str, Any]: return { "algorithm": self.algorithm, "public_key": self.public_key, "signature": self.signature, "timestamp": self.timestamp.isoformat(), } @classmethod def from_dict(cls, data: Dict[str, Any]) -> "VerificationSignature": timestamp_str = data.get("timestamp") return cls( algorithm=data.get("algorithm", "verification-Ed25519"), public_key=data.get("public_key", ""), signature=data.get("signature", ""), timestamp=( datetime.fromisoformat(timestamp_str) if timestamp_str else datetime.now(timezone.utc) ), )@dataclassclass VerificationIdentity: """Cryptographic identity for an agent using verification scheme.""" did: str agent_name: str public_key: str private_key: Optional[str] = None capabilities: List[str] = field(default_factory=list) created_at: datetime = field(default_factory=lambda: datetime.now(timezone.utc)) @classmethod def generate( cls, agent_name: str, capabilities: Optional[List[str]] = None ) -> "VerificationIdentity": """Generate a new verification identity with Ed25519 key pair.""" seed = f"{agent_name}:{time.time_ns()}" did_hash = hashlib.sha256(seed.encode()).hexdigest()[:32] did = f"did:verification:{did_hash}" private_key_obj = ed25519.Ed25519PrivateKey.generate() public_key_obj = private_key_obj.public_key() private_key_b64 = base64.b64encode(private_key_obj.private_bytes_raw()).decode( "ascii" ) public_key_b64 = base64.b64encode(public_key_obj.public_bytes_raw()).decode( "ascii" ) return cls( did=did, agent_name=agent_name, public_key=public_key_b64, private_key=private_key_b64, capabilities=capabilities or [], ) def sign(self, data: str) -> VerificationSignature: """Sign data with this identity's private key.""" if not self.private_key: raise ValueError("Cannot sign without private key") private_key_bytes = base64.b64decode(self.private_key) private_key_obj = ed25519.Ed25519PrivateKey.from_private_bytes( private_key_bytes ) signature_bytes = private_key_obj.sign(data.encode("utf-8")) signature_b64 = base64.b64encode(signature_bytes).decode("ascii") return VerificationSignature(public_key=self.public_key, signature=signature_b64) def verify_signature(self, data: str, signature: VerificationSignature) -> bool: """Verify a signature against this identity's public key.""" if signature.public_key != self.public_key: return False try: public_key_bytes = base64.b64decode(self.public_key) public_key_obj = ed25519.Ed25519PublicKey.from_public_bytes( public_key_bytes ) signature_bytes = base64.b64decode(signature.signature) public_key_obj.verify(signature_bytes, data.encode("utf-8")) return True except (InvalidSignature, ValueError): return False def to_dict(self) -> Dict[str, Any]: return { "did": self.did, "agent_name": self.agent_name, "public_key": self.public_key, "capabilities": self.capabilities, "created_at": self.created_at.isoformat(), } @classmethod def from_dict(cls, data: Dict[str, Any]) -> "VerificationIdentity": created_str = data.get("created_at") return cls( did=data["did"], agent_name=data["agent_name"], public_key=data["public_key"], capabilities=data.get("capabilities", []), created_at=( datetime.fromisoformat(created_str) if created_str else datetime.now(timezone.utc) ), ) def public_identity(self) -> "VerificationIdentity": """Return a copy without the private key.""" return VerificationIdentity( did=self.did, agent_name=self.agent_name, public_key=self.public_key, private_key=None, capabilities=self.capabilities.copy(), created_at=self.created_at, )
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"""Cryptographic identity management for AgentMesh.
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Uses Ed25519 for cryptographic operations.
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"""
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from __future__ import annotations
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import base64
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import hashlib
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import time
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from dataclasses import dataclass, field
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from datetime import datetime, timezone
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from typing import Any, Dict, List, Optional
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from cryptography.hazmat.primitives.asymmetric import ed25519
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from cryptography.exceptions import InvalidSignature
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@dataclass
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class VerificationSignature:
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"""A cryptographic signature from a verification identity."""
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algorithm: str = "verification-Ed25519"
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public_key: str = ""
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signature: str = ""
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timestamp: datetime = field(default_factory=lambda: datetime.now(timezone.utc))
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def to_dict(self) -> Dict[str, Any]:
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return {
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"algorithm": self.algorithm,
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"public_key": self.public_key,
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"signature": self.signature,
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"timestamp": self.timestamp.isoformat(),
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}
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@classmethod
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def from_dict(cls, data: Dict[str, Any]) -> "VerificationSignature":
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timestamp_str = data.get("timestamp")
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return cls(
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algorithm=data.get("algorithm", "verification-Ed25519"),
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public_key=data.get("public_key", ""),
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signature=data.get("signature", ""),
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timestamp=(
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datetime.fromisoformat(timestamp_str)
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if timestamp_str
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else datetime.now(timezone.utc)
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),
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)
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@dataclass
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class VerificationIdentity:
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"""Cryptographic identity for an agent using verification scheme."""
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did: str
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agent_name: str
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public_key: str
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private_key: Optional[str] = None
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capabilities: List[str] = field(default_factory=list)
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created_at: datetime = field(default_factory=lambda: datetime.now(timezone.utc))
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@classmethod
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def generate(
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cls, agent_name: str, capabilities: Optional[List[str]] = None
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) -> "VerificationIdentity":
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"""Generate a new verification identity with Ed25519 key pair."""
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seed = f"{agent_name}:{time.time_ns()}"
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did_hash = hashlib.sha256(seed.encode()).hexdigest()[:32]
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did = f"did:verification:{did_hash}"
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private_key_obj = ed25519.Ed25519PrivateKey.generate()
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public_key_obj = private_key_obj.public_key()
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private_key_b64 = base64.b64encode(private_key_obj.private_bytes_raw()).decode(
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"ascii"
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)
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public_key_b64 = base64.b64encode(public_key_obj.public_bytes_raw()).decode(
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"ascii"
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)
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return cls(
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did=did,
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agent_name=agent_name,
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public_key=public_key_b64,
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private_key=private_key_b64,
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capabilities=capabilities or [],
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)
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def sign(self, data: str) -> VerificationSignature:
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"""Sign data with this identity's private key."""
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if not self.private_key:
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raise ValueError("Cannot sign without private key")
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private_key_bytes = base64.b64decode(self.private_key)
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private_key_obj = ed25519.Ed25519PrivateKey.from_private_bytes(
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private_key_bytes
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)
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signature_bytes = private_key_obj.sign(data.encode("utf-8"))
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signature_b64 = base64.b64encode(signature_bytes).decode("ascii")
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return VerificationSignature(public_key=self.public_key, signature=signature_b64)
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def verify_signature(self, data: str, signature: VerificationSignature) -> bool:
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"""Verify a signature against this identity's public key."""
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if signature.public_key != self.public_key:
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return False
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try:
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public_key_bytes = base64.b64decode(self.public_key)
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public_key_obj = ed25519.Ed25519PublicKey.from_public_bytes(
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public_key_bytes
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)
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signature_bytes = base64.b64decode(signature.signature)
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public_key_obj.verify(signature_bytes, data.encode("utf-8"))
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return True
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except (InvalidSignature, ValueError):
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return False
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def to_dict(self) -> Dict[str, Any]:
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return {
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"did": self.did,
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"agent_name": self.agent_name,
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"public_key": self.public_key,
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"capabilities": self.capabilities,
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"created_at": self.created_at.isoformat(),
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}
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@classmethod
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def from_dict(cls, data: Dict[str, Any]) -> "VerificationIdentity":
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created_str = data.get("created_at")
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return cls(
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did=data["did"],
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agent_name=data["agent_name"],
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public_key=data["public_key"],
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capabilities=data.get("capabilities", []),
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created_at=(
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datetime.fromisoformat(created_str)
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if created_str
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else datetime.now(timezone.utc)
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),
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)
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def public_identity(self) -> "VerificationIdentity":
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"""Return a copy without the private key."""
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return VerificationIdentity(
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did=self.did,
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agent_name=self.agent_name,
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public_key=self.public_key,
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private_key=None,
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capabilities=self.capabilities.copy(),
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created_at=self.created_at,
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)

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