Production-grade Agent Operations (AgentOps) Platform
Project description
🕹️ AgentOps Cockpit (v2.0.19 Autonomous Core)
"Infrastructure gives you the pipes. We give you the Intelligence."
The developer distribution for building, governing, and scaling Cockpit AI agents.
🚀 The Cockpit Mission
Most AI templates stop at a single Python script. The AgentOps Cockpit is for developers moving into production. It provides framework-agnostic governance, multi-cloud mobility, and real-time security for the entire agentic ecosystem.
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🏛️ The Governing Board: Every repository is audited by a panel of Principal SME Personas (SecOps, FinOps, SRE, Architect) using SME Reasoning.
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📊 Premium Visual Dashboards: v2.0.19 introduces AST-aware precision scanning and Vertex AI-style fleet dashboards.
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🌉 Cockpit Bridge: Multi-cloud orchestration layer for GCP, AWS, and Azure.
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The Cockpit: Python CLI, Cockpit Gateway, Semantic Caching, Red Team Eval.
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Integrations: LangChain, CrewAI, LangGraph.
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Deployment: Firebase Hosting (Face), Google Cloud Run / GKE (Engine/Cockpit).
⚡ Quick Start: One Command to Rule Them All
The Cockpit is designed for high-velocity fleet management. If you are overwhelmed by the options, just remember one command:
# 🕹️ Master Audit: Launch the Governing Board & Personal SME Review
uvx agentops-cockpit audit report
🏹 The Cockpit Workflow
- Explore:
uvx agentops-cockpit cockpit(Launch the Mission Control Dashboard) - Audit:
uvx agentops-cockpit audit report(Deep SME Reasoning Review) - Evolve (Viral):
uvx agentops-cockpit evolve(Autonomously refactor and upgrade your framework logic) - Deploy:
uvx agentops-cockpit deploy prep(Multi-cloud Factory Deployment) - Certify:
uvx agentops-cockpit certify(Production Readiness Certification)
🗺️ Project Roadmap
- v2.0.19: Autonomous Core (GC-Style Reporting, Fleet Dashboard v2, Anomaly Metadata).
- v2.0.19: Autonomous Core & Sanitized Signal (AST Scanners, MarkUp Sanitization, SLA Gates).
- v2.1.0: Collaborative Governance (Multi-Persona Benchmarking, MCP Hub v2).
🏗️ The Governance Framework
We divide the complexity of production agents into three focused pillars:
graph TD
subgraph Trinity [The Governance Framework 2.0]
E(The Engine: Reasoning)
F(The Face: Interface)
C(The Cockpit: Operations)
S{Cockpitty & Compliance}
end
E <--> C
F <--> C
E <--> F
E -.-> S
F -.-> S
C -.-> S
style Trinity fill:#f8fafc,stroke:#334155,stroke-width:2px
style S fill:#10b981,color:#fff,stroke:#059669
- ⚙️ The Engine: The reasoning core. Built with ADK, FastAPI, and Vertex AI.
- 🎭 The Face: The user experience. Cockpit UX (A2UI) and rich GenUI standards.
- 🕹️ The Cockpit: The operational brain. Cost control (FinOps), semantic caching, and adversarial audits (Red Team).
🏛️ v2.0.19: The "Autonomous Core" Release
Evolving into the industry standard for production governance. See the CHANGELOG.md.
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🛡️ AST-Aware Scanning: Structural code analysis for retries and prompt invariants.
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📊 Sanitized Reporting: Secure console output via
rich.markup.escape()and Cluster Deduplication. -
📊 Autonomous Core Dashboard: Google Cloud-grade visual reporting for executive stakeholders.
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🌉 Cockpit Bridge: Multi-cloud deployment to GCP, AWS, and Azure.
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🧠 Semantic distributed cache: Distributed caching that reduces LLM costs by up to 40%.
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🔧 Closer Engine 2.0: Autonomous remediation of code gaps and architectural debt.
🏛️ Multi-Persona Governance Board
The Cockpit allows you to view your codebase through the lens of a Principal Engineer:
🤝 Ecosystem & Attribution
The AgentOps Cockpit leverages and secures the best-of-breed tools in the ecosystem:
- Google ADK: Core reference for agent patterns.
- A2UI Protocol: Standardized Generative UI handshake.
- Model Context Protocol (MCP): Unified tool execution standard.
- Vertex AI SDK: Backbone for frontier reasoning.
- Firebase: Enterprise hosting for the Face layer.
Generated by the AgentOps Cockpit. Cockpit Systems Division (v2.0.19 Autonomous Core).
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