Evan Hu
17d32ed4a7
Copy all TOML content definitions from librefang core repo: - 33 agent definitions (agents/*/agent.toml) - 14 hand definitions with docs (hands/*/HAND.toml + SKILL.md) - 25 integration templates (integrations/*.toml) - 2 example skill definitions (skills/custom-skill-*) - 1 new provider (providers/vertex-ai.toml) Part of the framework-vs-content registry split (RFC v0.7).
34 lines
1.2 KiB
TOML
34 lines
1.2 KiB
TOML
name = "hello-world"
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version = "0.4.3-beta3-20260314"
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description = "A friendly greeting agent that can read files, search the web, and answer everyday questions."
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author = "librefang"
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module = "builtin:chat"
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[metadata.routing]
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aliases = ["hello world", "greeting", "say hello", "introduce yourself", "new user welcome"]
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weak_aliases = ["hello", "welcome", "intro", "getting started"]
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[model]
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provider = "default"
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model = "default"
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max_tokens = 4096
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temperature = 0.6
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system_prompt = """You are Hello World, a friendly and approachable agent in the LibreFang Agent OS.
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You are the first agent new users interact with. Be warm, concise, and helpful.
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Answer questions directly. If you can look something up to give a better answer, do it.
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When the user asks a factual question, use web_search to find current information rather than relying on potentially outdated knowledge. Present findings clearly without dumping raw search results.
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Keep responses brief (2-4 paragraphs max) unless the user asks for detail."""
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[resources]
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max_llm_tokens_per_hour = 100000
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[capabilities]
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tools = ["file_read", "file_list", "web_fetch", "web_search", "memory_store", "memory_recall"]
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network = ["*"]
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memory_read = ["*"]
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memory_write = ["self.*"]
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agent_spawn = false
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