mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-07-01 05:08:12 +00:00
* Add generated Flow Definition authoring skill Generate a portable skill from the Flow Definition schema so agents can author valid declarative flows with the same reference CrewAI uses to validate them. New declarative flow projects now write this skill. ```python from crewai.flow.flow_definition import FlowDefinition skill = FlowDefinition.skill(skips=(), examples_format="yaml") ``` * `examples_format` accepts `"yaml"` or `"json"`. * Supported skips: `conversational`, `non_linear_flows`, `each`, `hitl`, `persistence`, `config`, `expression_action`, `script_action`, `tool_action` The generated skill includes authoring rules, a routed crew example, and an API reference extracted from the Flow, action, state, agent, crew, and task Pydantic schemas. * Fix declarative flow scaffold without framework import * Fix skipped expression action guidance * Fix markdown links in skill
39 lines
1.2 KiB
Python
39 lines
1.2 KiB
Python
from __future__ import annotations
|
|
|
|
from pathlib import Path
|
|
|
|
from click.testing import CliRunner
|
|
from pytest import MonkeyPatch
|
|
import tomli
|
|
|
|
from crewai_cli.cli import crewai
|
|
from crewai_cli.create_flow import create_flow
|
|
|
|
|
|
def test_create_flow_declarative_project_can_run(
|
|
tmp_path: Path, monkeypatch: MonkeyPatch
|
|
):
|
|
monkeypatch.chdir(tmp_path)
|
|
create_flow("Research Flow", declarative=True)
|
|
|
|
project_root = tmp_path / "research_flow"
|
|
assert project_root.is_dir()
|
|
|
|
pyproject = tomli.loads(
|
|
(project_root / "pyproject.toml").read_text(encoding="utf-8")
|
|
)
|
|
assert pyproject["project"]["name"] == "research_flow"
|
|
assert pyproject["project"]["requires-python"]
|
|
assert pyproject["project"]["dependencies"]
|
|
assert (project_root / pyproject["tool"]["crewai"]["definition"]).is_file()
|
|
agents_md = (project_root / "AGENTS.md").read_text(encoding="utf-8")
|
|
assert "CrewAI Flow declaration" in agents_md
|
|
assert "schema: crewai.flow/v1" in agents_md
|
|
|
|
monkeypatch.chdir(project_root)
|
|
result = CliRunner().invoke(crewai, ["run"], env={"UV_RUN_RECURSION_DEPTH": "1"})
|
|
|
|
assert result.exit_code == 0
|
|
assert "Running the Flow" not in result.output
|
|
assert "AI agents" in result.output
|