Agent Tools
Agent Tools equips your AI agent with a unified CLI to invoke hundreds of cloud-hosted AI models and services. Generate images and videos, call LLMs like Claude and Gemini, perform web searches, automate Twitter, and create 3D models—all without managing GPUs or infrastructure.
Agent Tools extends your agent with inference.sh CLI to run AI models for image generation, video creation, LLMs, search, and automation.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-26
Agent Tools extends your agent with inference.sh CLI to run AI models for image generation, video creation, LLMs, search, and automation. Agent Tools equips your AI agent with a unified CLI to invoke hundreds of cloud-hosted AI models and services. Generate images and videos, call LLMs like Claude and Gemini, perform web searches, automate Twitter, and create 3D models—all without managing GPUs or infrastructure.
Use it when
- Agent Tools provides a unified CLI interface for configuration.
- Agent Tools documentation covers setup, configuration, and integration patterns.
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
What are agent tools and how do they extend agent capabilities?
Agent Tools equips your AI agent with a unified CLI to invoke hundreds of cloud-hosted AI models and services. They extend capabilities by enabling agents to generate images and videos, call LLMs like Claude and Gemini, perform web searches, automate Twitter, and create 3D models—all without managing GPUs or infrastructure.
How do I set up and configure agent tools for my AI agent?
Agent Tools provides a unified CLI interface for configuration. Start by selecting which cloud-hosted AI models and services you need—whether that's image generation, LLM calls, web search, or social media automation. The setup process connects your agent to these services without requiring you to manage underlying GPU infrastructure or deployment.
Where can I find agent tools documentation and examples?
Agent Tools documentation covers setup, configuration, and integration patterns. Examples demonstrate common use cases like image generation, LLM invocation, web search integration, and 3D model creation. The documentation includes tutorials and reference guides to help you understand each capability and implement them in your workflow.
How do I integrate agent tools into my workflow or application?
Agent Tools integrates through its unified CLI, allowing you to add model invocation and service calls directly into your application logic. You can chain multiple tools together—combining web search with LLM calls, or image generation with video creation—to build complex agent workflows without managing separate infrastructure.
What are the best practices for implementing agent tools?
Agent Tools best practices include leveraging the unified CLI for consistent model access, combining multiple services to enhance agent capabilities, and using cloud-hosted models to avoid infrastructure overhead. Structure your agent to chain tools logically, starting with information gathering (web search) before generation tasks (images, videos, 3D models).
What agent tools are available for AI agents?
Agent Tools provides access to hundreds of cloud-hosted AI models and services: LLM providers like Claude and Gemini, image and video generation, web search capabilities, social media automation (Twitter), and 3D model creation. All are accessible through the unified CLI without requiring local GPU management.
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