feat: sync content definitions from core repo
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).
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[provider]
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id = "vertex-ai"
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display_name = "Google Cloud Vertex AI"
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# Points to a service-account JSON file path, not a raw API key.
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api_key_env = "GOOGLE_APPLICATION_CREDENTIALS"
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base_url = "https://us-central1-aiplatform.googleapis.com"
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key_required = true
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[[models]]
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id = "vertex-ai/gemini-2.5-pro"
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display_name = "Gemini 2.5 Pro (Vertex AI)"
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provider = "vertex-ai"
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tier = "frontier"
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context_window = 1048576
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max_output_tokens = 65536
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input_cost_per_m = 1.25
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output_cost_per_m = 10.0
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supports_tools = true
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supports_vision = true
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supports_streaming = true
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aliases = []
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[[models]]
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id = "vertex-ai/gemini-2.5-flash"
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display_name = "Gemini 2.5 Flash (Vertex AI)"
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provider = "vertex-ai"
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tier = "smart"
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context_window = 1048576
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max_output_tokens = 65536
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input_cost_per_m = 0.15
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output_cost_per_m = 0.6
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supports_tools = true
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supports_vision = true
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supports_streaming = true
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aliases = []
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[[models]]
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id = "vertex-ai/gemini-2.0-flash"
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display_name = "Gemini 2.0 Flash (Vertex AI)"
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provider = "vertex-ai"
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tier = "fast"
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context_window = 1048576
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max_output_tokens = 8192
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input_cost_per_m = 0.1
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output_cost_per_m = 0.4
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supports_tools = true
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supports_vision = true
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supports_streaming = true
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aliases = []
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[[models]]
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id = "vertex-ai/gemini-2.0-flash-lite"
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display_name = "Gemini 2.0 Flash Lite (Vertex AI)"
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provider = "vertex-ai"
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tier = "fast"
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context_window = 1048576
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max_output_tokens = 8192
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input_cost_per_m = 0.075
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output_cost_per_m = 0.3
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supports_tools = true
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supports_vision = true
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supports_streaming = true
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aliases = []
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[[models]]
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id = "vertex-ai/gemini-1.5-pro"
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display_name = "Gemini 1.5 Pro (Vertex AI)"
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provider = "vertex-ai"
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tier = "smart"
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context_window = 2097152
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max_output_tokens = 8192
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input_cost_per_m = 1.25
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output_cost_per_m = 5.0
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supports_tools = true
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supports_vision = true
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supports_streaming = true
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aliases = []
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[[models]]
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id = "vertex-ai/gemini-1.5-flash"
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display_name = "Gemini 1.5 Flash (Vertex AI)"
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provider = "vertex-ai"
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tier = "fast"
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context_window = 1048576
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max_output_tokens = 8192
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input_cost_per_m = 0.075
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output_cost_per_m = 0.3
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supports_tools = true
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supports_vision = true
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supports_streaming = true
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aliases = []
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