87 lines
2.3 KiB
Python
87 lines
2.3 KiB
Python
"""Example demonstrating the skills system for AgentLite.
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This example shows how to use skills with an Agent.
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"""
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import asyncio
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from pathlib import Path
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from agentlite.skills import discover_skills, index_skills_by_name
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async def main():
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"""Run skills example."""
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print("=" * 60)
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print("AgentLite Skills Example")
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print("=" * 60)
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# Discover skills from examples directory
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skills_dir = Path(__file__).parent / "skills"
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skills = discover_skills(skills_dir)
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print(f"\nDiscovered {len(skills)} skill(s):")
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for skill in skills:
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print(f" - {skill.name}: {skill.description}")
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print(f" Type: {skill.type}")
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if skill.flow:
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print(f" Flow nodes: {len(skill.flow.nodes)}")
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# Index skills by name
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skill_index = index_skills_by_name(skills)
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print(f"\nIndexed {len(skill_index)} skill(s)")
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# Create agent (would need API key to actually run)
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print("\n" + "-" * 40)
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print("To use skills with an agent:")
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print("-" * 40)
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code = """
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# Create provider
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provider = OpenAIProvider(api_key="your-key", model="gpt-4")
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# Create agent
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agent = Agent(
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provider=provider,
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system_prompt="You are a helpful assistant with access to skills.",
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)
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# Create skill tool
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skill_tool = SkillTool(skill_index, parent_agent=agent)
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# Add skill tool to agent
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agent.tools.add(skill_tool)
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# Now the agent can use skills!
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# The agent will see available skills in its context
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# Example usage:
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response = await agent.run("Review this Python code: def add(a, b): return a + b")
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# The agent may choose to use the code-reviewer skill
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"""
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print(code)
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print("\n" + "=" * 60)
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print("Key Concepts:")
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print("=" * 60)
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print("1. Skills are defined in SKILL.md files")
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print("2. YAML frontmatter specifies name, description, and type")
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print("3. Standard skills load the markdown as a prompt")
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print("4. Flow skills execute a structured flowchart")
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print("5. Skills are discovered from directories")
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print("6. SkillTool allows agents to execute skills")
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print("\nSkill Format (SKILL.md):")
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print(""" ---
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name: skill-name
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description: When to use this skill...
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type: standard | flow
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---
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# Skill Content
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Instructions for the skill...
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""")
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if __name__ == "__main__":
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asyncio.run(main())
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