xingyue
deac2336b6
Built-in role agent that uses workflow config models directly, with its own tool-calling run loop. No external agent dependency. - OpenAI-compatible chat completion client with tool_calls support - P0 toolkit: read_file, write_file, run_command - Integrates via createAgent factory from workflow-agent-kit - CAS detail recording for each turn - Path sandboxing and shell opt-in (UWF_BUILTIN_ALLOW_SHELL)
60 lines
1.6 KiB
TypeScript
60 lines
1.6 KiB
TypeScript
import { describe, expect, test } from "bun:test";
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import type { AgentContext } from "@uncaged/workflow-agent-kit";
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import { buildBuiltinPrompt } from "../src/prompt.js";
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function minimalContext(overrides: Partial<AgentContext> = {}): AgentContext {
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return {
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threadId: "00000000000000000000000000" as AgentContext["threadId"],
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role: "developer",
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store: {} as AgentContext["store"],
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workflow: {
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name: "test",
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roles: {
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developer: {
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goal: "Ship the fix",
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capabilities: ["file-edit"],
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procedure: ["Edit files"],
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output: "A patch",
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frontmatter: "schema-hash",
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},
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},
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conditions: {},
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graph: {},
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},
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start: { workflow: "wf-hash", prompt: "Fix the bug" },
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steps: [],
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outputFormatInstruction: "---\nstatus: done\n---",
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...overrides,
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};
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}
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describe("buildBuiltinPrompt", () => {
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test("includes output format, task, and role goal", () => {
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const prompt = buildBuiltinPrompt(minimalContext());
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expect(prompt).toContain("status: done");
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expect(prompt).toContain("## Goal");
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expect(prompt).toContain("Ship the fix");
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expect(prompt).toContain("## Task");
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expect(prompt).toContain("Fix the bug");
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});
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test("includes history when steps exist", () => {
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const prompt = buildBuiltinPrompt(
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minimalContext({
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steps: [
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{
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role: "planner",
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output: { plan: "step 1" },
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agent: "uwf-builtin",
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detail: "detail-hash",
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},
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],
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}),
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);
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expect(prompt).toContain("## Previous Steps");
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expect(prompt).toContain("planner");
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});
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});
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