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* improving prompt structure especially for prompt caching * addressing comments
103 lines
3.8 KiB
Python
103 lines
3.8 KiB
Python
"""Integration tests for the skills system."""
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from pathlib import Path
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import pytest
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from crewai import Agent
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from crewai.skills.loader import activate_skill, discover_skills, format_skill_context
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from crewai.skills.models import INSTRUCTIONS, METADATA
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from crewai.utilities.prompts import Prompts
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def _create_skill_dir(parent: Path, name: str, body: str = "Body.") -> Path:
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"""Helper to create a skill directory with SKILL.md."""
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skill_dir = parent / name
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skill_dir.mkdir()
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(skill_dir / "SKILL.md").write_text(
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f"---\nname: {name}\ndescription: Skill {name}\n---\n{body}"
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)
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return skill_dir
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class TestSkillDiscoveryAndActivation:
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"""End-to-end tests for discover + activate workflow."""
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def test_discover_and_activate(self, tmp_path: Path) -> None:
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_create_skill_dir(tmp_path, "my-skill", body="Use this skill.")
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skills = discover_skills(tmp_path)
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assert len(skills) == 1
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assert skills[0].disclosure_level == METADATA
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activated = activate_skill(skills[0])
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assert activated.disclosure_level == INSTRUCTIONS
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assert activated.instructions == "Use this skill."
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context = format_skill_context(activated)
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assert '<skill name="my-skill">' in context
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assert "Use this skill." in context
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def test_filter_by_skill_names(self, tmp_path: Path) -> None:
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_create_skill_dir(tmp_path, "alpha")
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_create_skill_dir(tmp_path, "beta")
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_create_skill_dir(tmp_path, "gamma")
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all_skills = discover_skills(tmp_path)
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wanted = {"alpha", "gamma"}
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filtered = [s for s in all_skills if s.name in wanted]
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assert {s.name for s in filtered} == {"alpha", "gamma"}
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def test_full_fixture_skill(self) -> None:
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fixtures = Path(__file__).parent / "fixtures"
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valid_dir = fixtures / "valid-skill"
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if not valid_dir.exists():
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pytest.skip("Fixture not found")
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skills = discover_skills(fixtures)
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valid_skills = [s for s in skills if s.name == "valid-skill"]
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assert len(valid_skills) == 1
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skill = valid_skills[0]
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assert skill.frontmatter.license == "Apache-2.0"
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assert skill.frontmatter.allowed_tools == ["web-search", "file-read"]
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activated = activate_skill(skill)
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assert "Instructions" in (activated.instructions or "")
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def test_multiple_search_paths(self, tmp_path: Path) -> None:
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path_a = tmp_path / "a"
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path_a.mkdir()
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_create_skill_dir(path_a, "skill-a")
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path_b = tmp_path / "b"
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path_b.mkdir()
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_create_skill_dir(path_b, "skill-b")
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all_skills = []
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for search_path in [path_a, path_b]:
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all_skills.extend(discover_skills(search_path))
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names = {s.name for s in all_skills}
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assert names == {"skill-a", "skill-b"}
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def test_agent_preserves_metadata_for_discovered_skills(self, tmp_path: Path) -> None:
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_create_skill_dir(tmp_path, "travel", body="Use this skill for travel planning.")
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discovered = discover_skills(tmp_path)
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agent = Agent(
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role="Travel Advisor",
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goal="Provide personalized travel suggestions.",
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backstory="An experienced travel consultant.",
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skills=discovered,
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)
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assert agent.skills is not None
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assert agent.skills[0].disclosure_level == METADATA
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assert agent.skills[0].instructions is None
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result = Prompts(agent=agent, has_tools=False, use_system_prompt=True).task_execution()
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system = getattr(result, "system", "") or result.prompt
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assert '<skill name="travel">' in system
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assert "Skill travel" in system
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# METADATA-level skills must not leak full instructions into the prompt
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assert "Use this skill for travel planning." not in system
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