VibeGraphing

本页给出一个更完整的 VibeGraph 示例：生成 graph_design.json、缓存、再编译运行。

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示例：生成一个线性工作流并运行

import os
from pathlib import Path

from masfactory import RootGraph, VibeGraph, NodeTemplate, OpenAIModel

model = OpenAIModel(
    model_name=os.getenv("MODEL", "gpt-4o-mini"),
    api_key=os.getenv("OPENAI_API_KEY"),
    base_url=os.getenv("BASE_URL"),
)

build_instructions = """
Build a linear workflow with 3 Agents
"""

Workflow = NodeTemplate(
    VibeGraph,
    invoke_model=model,
    build_model=model,
    build_instructions=build_instructions,
    build_cache_path=Path("assets/cache/example_graph_design.json"),
)

g = RootGraph(
    name="vibegraph_example",
    nodes=[("workflow", Workflow)],
    edges=[
        ("ENTRY", "workflow", {}),
        ("workflow", "EXIT", {}),
    ],
)

g.build()
g.invoke({})

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迭代建议

• 第一次运行后检查 assets/cache/example_graph_design.json
• 用 Visualizer 在 Vibe 视图预览/编辑结构
• 修改保存后再次运行，验证编译与运行结果