Self-healing telemetry proxy SDK for AI Agents
Project description
AgentPulse SDK Core ⚡
The official Python client package for connecting applications to AgentPulse—the self-healing telemetry proxy engine built specifically for autonomous AI Agent workflows.
Installation
pip install autonomous-agentpulse
Quick Start Implementation
Wrap your core asynchronous API endpoint listener routines with our performance monitoring wrapper decorator:
import asyncio
from autonomous_agentpulse.monitor import monitor_agent_webhook
# The decorator automatically catches schema changes and triggers AI self-healing
@monitor_agent_webhook(provider="stripe", agentpulse_key="your_active_token_here")
async def handle_incoming_transaction(payload: dict):
print(f"Executing agent workflows safely with clean data structures: {payload}")
Resilience Architecture
If your upstream integration endpoint falls offline or returns an unexpected schema payload variant format, our SDK drops back to a native exception recovery mode. Your core execution loop will never fail.
Features
- Lightweight Sync: Only requires httpx for async HTTP communication.
- Fail-Safe Design: Proxy isolation layers ensure telemetry bottlenecks never crash your core application.
- Async-Native: Built natively for FastAPI and asyncio production loops.
License
MIT License - see LICENSE for details.
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