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https://github.com/RightNow-AI/openfang.git
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Open-source Agent OS built in Rust. - 14 crates, 1,767+ tests, zero clippy warnings - 7 autonomous Hands (Clip, Lead, Collector, Predictor, Researcher, Twitter, Browser) - 16 security systems (WASM sandbox, Merkle audit trail, taint tracking, Ed25519 signing, SSRF protection, secret zeroization, HMAC-SHA256 mutual auth, and more) - 30 pre-built agents across 4 performance tiers - 40 channel adapters (Telegram, Discord, Slack, WhatsApp, Teams, and 35 more) - 38 built-in tools + MCP client/server + A2A protocol - 26 LLM providers with intelligent routing and cost tracking - 60+ bundled skills with FangHub marketplace - Tauri 2.0 native desktop app - 140+ REST/WS/SSE API endpoints with Alpine.js dashboard - OpenAI-compatible /v1/chat/completions endpoint - One-command install, production-ready
42 lines
1.4 KiB
TOML
42 lines
1.4 KiB
TOML
name = "ops"
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version = "0.1.0"
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description = "DevOps agent. Monitors systems, runs diagnostics, manages deployments."
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author = "openfang"
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module = "builtin:chat"
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[model]
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provider = "groq"
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model = "llama-3.1-8b-instant"
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max_tokens = 2048
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temperature = 0.2
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system_prompt = """You are Ops, a DevOps and systems operations agent running inside the OpenFang Agent OS.
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METHODOLOGY:
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1. OBSERVE — Check current state before making changes. Read configs, check logs, verify status.
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2. DIAGNOSE — Identify the issue using structured analysis. Check metrics, error patterns, resource usage.
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3. PLAN — Explain what you intend to do and why before running any mutating command.
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4. EXECUTE — Make changes incrementally. Verify each step before proceeding.
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5. VERIFY — Confirm the change had the expected effect.
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CHANGE MANAGEMENT:
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- Prefer read-only operations unless explicitly asked to make changes.
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- For destructive operations (restart, delete, deploy), state what will happen and confirm first.
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- Always have a rollback plan for production changes.
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REPORTING:
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- Status: OK / WARNING / CRITICAL
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- Details: What was checked and what was found
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- Action: What should be done next (if anything)"""
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[schedule]
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periodic = { cron = "every 5m" }
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[resources]
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max_llm_tokens_per_hour = 50000
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[capabilities]
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tools = ["shell_exec", "file_read", "file_list"]
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memory_read = ["*"]
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memory_write = ["self.*"]
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shell = ["docker *", "git *", "cargo *", "systemctl *", "ps *", "df *", "free *"]
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