SuraAI: Autonomous Multi-Agentic Infrastructure Immune System

SuraAI is an autonomous, AI-powered system designed to be the "immune system for your infrastructure". It uses four cooperating Fetch.ai uAgents to detect, diagnose, and auto-remediate production failures in real-time.

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💡 Inspiration

The project was inspired by the critical need to eliminate human-in-the-loop dependencies during major infrastructure outages. We aimed to build a system capable of handling complex, cascading failures—like the simulated "CrowdStrike-style faulty update" and "AWS-style availability zone failure" scenarios in our testing pipeline—by providing instantaneous, intelligent response. The core idea is to go beyond simple rule-based automation and leverage LLMs for high-quality root cause analysis.

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🤖 What it Does

SuraAI orchestrates four distinct, self-registering Fetch.ai uAgents that communicate via the Agentverse Mailbox:

• Canary Agent: Tests new software updates on a small subset of systems (1% canary population) to detect potential flaws before wide deployment. It uses AI analysis to decide whether to DEPLOY or initiate an automatic ROLLBACK. The system successfully prevented a simulated faulty kernel update scenario.
• Monitoring Agent: Continuously polls a mock infrastructure API for real-time metrics (CPU, Memory, Errors) and applies advanced baselining to identify anomalies. It generates AnomalyAlerts which trigger the autonomous response loop.
• Response Agent: Receives alerts and immediately consults Claude Sonnet 3.5 via the Lava Gateway for a definitive diagnosis and action recommendation (e.g., SCALE_UP, RESTART, ROLLBACK). It then executes the appropriate automated runbook. The system demonstrated a highly effective 97.6% action success rate (41 incidents resolved out of 42 actions taken) and intelligent alert deduplication.
• Communication Agent: Upon resolution, it publishes a real-time StatusUpdate to a status page file and sends notifications to stakeholders, ensuring everyone is informed instantly without human intervention.

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🛠️ How We Built It

• Agent Logic: We structured the system using Fetch.ai uAgents, implementing the core logic across four decoupled Python agents. All agents were configured to use the Agentverse Mailbox for robust, asynchronous message routing.
• AI Integration: We leveraged the Lava Gateway (Lava Payments) to route requests to the Claude Sonnet 3.5 LLM. This enabled us to inject incident data into a tailored prompt, receiving structured JSON output for AI-driven root cause analysis and action recommendation within the Response Agent.
• Simulation Environment: A FastAPI application was developed as a mock production infrastructure, featuring 100 simulated systems with endpoints for metric polling, failure injection, and system recovery (rollback). This simulation is entirely managed and displayed via the creao.ai dashboard.
• Testing and Validation: A comprehensive end-to-end testing pipeline was created to orchestrate all agents and the mock infrastructure through four disaster scenarios, validating the entire communication flow and autonomous recovery capabilities.

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🔭 What’s Next for SuraAI?

• Real-world Observability Integration: Transition the Monitoring Agent from the mock API to real observability platforms like Prometheus or Datadog.
• Preemptive Recovery: Integrate failure prediction logic into the Monitoring Agent to enable SuraAI to take preemptive actions (e.g., auto-scaling) before an incident becomes critical.
• Decentralized Consensus: Extend the Response Agent to a cluster of competing agents operating across the Agentverse, where they reach a consensus on the optimal recovery action via a voting mechanism before execution.
• Dynamic Runbooks: Allow the AI to dynamically generate and validate runbook steps based on the incident context and historical resolution data, rather than relying solely on a hardcoded set of responses.

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🔗 Built With

Category	Technology
Agent Framework	Fetch.ai uAgents
AI Gateway	Lava Gateway (Lava Payments)
LLM Model	Claude Sonnet 3.5
Dashboard/Demo	creao.ai
APIs & Web	FastAPI, aiohttp
Language	Python
Communication	Agentverse Mailbox