ai-deep-template-engine
Verified Safeby the-Lobbi
Overview
A multi-agent system powered by LangGraph for automating and orchestrating complex DevOps infrastructure tasks, utilizing specialized subagents for IaC, container workflows, and team acceleration.
Installation
docker-compose up -dEnvironment Variables
- HARNESS_ACCOUNT_ID
- HARNESS_API_URL
- HARNESS_API_TOKEN
- HARNESS_ORG_IDENTIFIER
- HARNESS_PROJECT_IDENTIFIER
- MCP_SERVER_HOST
- MCP_SERVER_PORT
- ANTHROPIC_API_KEY
- LANGSMITH_API_KEY
- PINECONE_API_KEY
- PINECONE_ENVIRONMENT
- VOYAGE_API_KEY
- TAVILY_API_KEY
- DEEP_AGENT_LOG_LEVEL
- AZURE_KEYVAULT_URL
- AZURE_CLIENT_ID
- AZURE_TENANT_ID
- AZURE_CLIENT_SECRET
- PROMETHEUS_URL
- LOKI_URL
- ELASTICSEARCH_URL
- ALERTMANAGER_URL
Security Notes
The project exhibits strong security practices for secret management through its `secrets.py` module, which supports auto-detection for Azure Key Vault, Harness Secrets Manager, and environment variables. It explicitly warns against hardcoding secrets and is designed for zero secret value logging. No 'eval' or obvious obfuscation was found in the provided source code. Network communication uses `httpx.AsyncClient` with timeouts. The system interacts with powerful APIs like Kubernetes and Harness, which inherently require strict Role-Based Access Control (RBAC) on the target systems. The agent's capability to generate and execute configuration (e.g., YAML for Harness pipelines) introduces a potential risk for prompt injection if input is not carefully sanitized, a common challenge in agentic systems, but the core codebase's security practices are sound.
Similar Servers
mcpstore
Orchestrate Microservice Context Protocol (MCP) services and adapt them for integration with various AI frameworks like LangChain, managing tools and their lifecycle.
mcp-k8s-go
This MCP server enables interaction with Kubernetes clusters to list, get, apply, and execute commands on various resources through a conversational interface.
ironmanus-mcp
Orchestrates AI workflows with an 8-phase control flow and specialized tools, serving as a Model Context Protocol (MCP) server.
mcpc
Build and compose agentic Model Context Protocol (MCP) servers and tools, enabling AI assistants to discover, integrate, and orchestrate other MCP servers for complex tasks.