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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
36 lines
818 B
Python
36 lines
818 B
Python
#!/usr/bin/env python3
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"""
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Basic example — create an agent and chat with it via the REST API.
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Usage:
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python client_basic.py
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"""
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import sys
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import os
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
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from openfang_client import OpenFang
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client = OpenFang("http://localhost:3000")
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# Check server health
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health = client.health()
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print("Server:", health)
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# List existing agents
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agents = client.agents.list()
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print(f"Agents: {len(agents)}")
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# Create a new agent from the "assistant" template
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agent = client.agents.create(template="assistant")
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print(f"Created agent: {agent['id']}")
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# Send a message and get the full response
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reply = client.agents.message(agent["id"], "What can you help me with?")
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print(f"Reply: {reply}")
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# Clean up
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client.agents.delete(agent["id"])
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print("Agent deleted.")
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