File size: 5,974 Bytes
fc93158 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 | import { describe, it, expect, vi, beforeEach } from "vitest";
vi.mock("../../../src/agents/pi-embedded-runner.js", () => {
return {
runEmbeddedPiAgent: vi.fn(async () => ({
meta: { startedAt: Date.now() },
payloads: [{ text: "{}" }],
})),
};
});
import { runEmbeddedPiAgent } from "../../../src/agents/pi-embedded-runner.js";
import { createLlmTaskTool } from "./llm-task-tool.js";
// oxlint-disable-next-line typescript/no-explicit-any
function fakeApi(overrides: any = {}) {
return {
id: "llm-task",
name: "llm-task",
source: "test",
config: {
agents: { defaults: { workspace: "/tmp", model: { primary: "openai-codex/gpt-5.2" } } },
},
pluginConfig: {},
runtime: { version: "test" },
logger: { debug() {}, info() {}, warn() {}, error() {} },
registerTool() {},
...overrides,
};
}
function mockEmbeddedRunJson(payload: unknown) {
// oxlint-disable-next-line typescript/no-explicit-any
(runEmbeddedPiAgent as any).mockResolvedValueOnce({
meta: {},
payloads: [{ text: JSON.stringify(payload) }],
});
}
async function executeEmbeddedRun(input: Record<string, unknown>) {
const tool = createLlmTaskTool(fakeApi());
await tool.execute("id", input);
// oxlint-disable-next-line typescript/no-explicit-any
return (runEmbeddedPiAgent as any).mock.calls[0]?.[0];
}
describe("llm-task tool (json-only)", () => {
beforeEach(() => vi.clearAllMocks());
it("returns parsed json", async () => {
// oxlint-disable-next-line typescript/no-explicit-any
(runEmbeddedPiAgent as any).mockResolvedValueOnce({
meta: {},
payloads: [{ text: JSON.stringify({ foo: "bar" }) }],
});
const tool = createLlmTaskTool(fakeApi());
const res = await tool.execute("id", { prompt: "return foo" });
// oxlint-disable-next-line typescript/no-explicit-any
expect((res as any).details.json).toEqual({ foo: "bar" });
});
it("strips fenced json", async () => {
// oxlint-disable-next-line typescript/no-explicit-any
(runEmbeddedPiAgent as any).mockResolvedValueOnce({
meta: {},
payloads: [{ text: '```json\n{"ok":true}\n```' }],
});
const tool = createLlmTaskTool(fakeApi());
const res = await tool.execute("id", { prompt: "return ok" });
// oxlint-disable-next-line typescript/no-explicit-any
expect((res as any).details.json).toEqual({ ok: true });
});
it("validates schema", async () => {
// oxlint-disable-next-line typescript/no-explicit-any
(runEmbeddedPiAgent as any).mockResolvedValueOnce({
meta: {},
payloads: [{ text: JSON.stringify({ foo: "bar" }) }],
});
const tool = createLlmTaskTool(fakeApi());
const schema = {
type: "object",
properties: { foo: { type: "string" } },
required: ["foo"],
additionalProperties: false,
};
const res = await tool.execute("id", { prompt: "return foo", schema });
// oxlint-disable-next-line typescript/no-explicit-any
expect((res as any).details.json).toEqual({ foo: "bar" });
});
it("throws on invalid json", async () => {
// oxlint-disable-next-line typescript/no-explicit-any
(runEmbeddedPiAgent as any).mockResolvedValueOnce({
meta: {},
payloads: [{ text: "not-json" }],
});
const tool = createLlmTaskTool(fakeApi());
await expect(tool.execute("id", { prompt: "x" })).rejects.toThrow(/invalid json/i);
});
it("throws on schema mismatch", async () => {
// oxlint-disable-next-line typescript/no-explicit-any
(runEmbeddedPiAgent as any).mockResolvedValueOnce({
meta: {},
payloads: [{ text: JSON.stringify({ foo: 1 }) }],
});
const tool = createLlmTaskTool(fakeApi());
const schema = { type: "object", properties: { foo: { type: "string" } }, required: ["foo"] };
await expect(tool.execute("id", { prompt: "x", schema })).rejects.toThrow(/match schema/i);
});
it("passes provider/model overrides to embedded runner", async () => {
mockEmbeddedRunJson({ ok: true });
const call = await executeEmbeddedRun({
prompt: "x",
provider: "anthropic",
model: "claude-4-sonnet",
});
expect(call.provider).toBe("anthropic");
expect(call.model).toBe("claude-4-sonnet");
});
it("passes thinking override to embedded runner", async () => {
mockEmbeddedRunJson({ ok: true });
const call = await executeEmbeddedRun({ prompt: "x", thinking: "high" });
expect(call.thinkLevel).toBe("high");
});
it("normalizes thinking aliases", async () => {
mockEmbeddedRunJson({ ok: true });
const call = await executeEmbeddedRun({ prompt: "x", thinking: "on" });
expect(call.thinkLevel).toBe("low");
});
it("throws on invalid thinking level", async () => {
const tool = createLlmTaskTool(fakeApi());
await expect(tool.execute("id", { prompt: "x", thinking: "banana" })).rejects.toThrow(
/invalid thinking level/i,
);
});
it("throws on unsupported xhigh thinking level", async () => {
const tool = createLlmTaskTool(fakeApi());
await expect(tool.execute("id", { prompt: "x", thinking: "xhigh" })).rejects.toThrow(
/only supported/i,
);
});
it("does not pass thinkLevel when thinking is omitted", async () => {
mockEmbeddedRunJson({ ok: true });
const call = await executeEmbeddedRun({ prompt: "x" });
expect(call.thinkLevel).toBeUndefined();
});
it("enforces allowedModels", async () => {
mockEmbeddedRunJson({ ok: true });
const tool = createLlmTaskTool(
fakeApi({ pluginConfig: { allowedModels: ["openai-codex/gpt-5.2"] } }),
);
await expect(
tool.execute("id", { prompt: "x", provider: "anthropic", model: "claude-4-sonnet" }),
).rejects.toThrow(/not allowed/i);
});
it("disables tools for embedded run", async () => {
mockEmbeddedRunJson({ ok: true });
const call = await executeEmbeddedRun({ prompt: "x" });
expect(call.disableTools).toBe(true);
});
});
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