Files
llmx/codex-cli/tests/agent-project-doc.test.ts
Yashraj Yadav e9f84eab01 (fix) o3 instead of o3-mini (#37)
* o3 instead of o3-mini
2025-04-16 11:18:41 -07:00

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import { mkdtempSync, rmSync, writeFileSync, mkdirSync } from "fs";
import { tmpdir } from "os";
import { join } from "path";
import { describe, expect, it, vi, beforeEach, afterEach } from "vitest";
// ---------------------------------------------------------------------------
// Test helpers & mocks
// ---------------------------------------------------------------------------
// Fake stream returned from the mocked OpenAI SDK. The AgentLoop only cares
// that the stream is asynciterable and eventually yields a `response.completed`
// event so the turn can finish.
class FakeStream {
public controller = { abort: vi.fn() };
async *[Symbol.asyncIterator]() {
yield {
type: "response.completed",
response: {
id: "r1",
status: "completed",
output: [],
},
} as any;
}
}
// Capture the parameters that AgentLoop sends to `openai.responses.create()` so
// we can assert on the `instructions` value.
let lastCreateParams: any = null;
vi.mock("openai", () => {
class FakeOpenAI {
public responses = {
create: async (params: any) => {
lastCreateParams = params;
return new FakeStream();
},
};
}
class APIConnectionTimeoutError extends Error {}
return {
__esModule: true,
default: FakeOpenAI,
APIConnectionTimeoutError,
};
});
// The AgentLoop pulls these helpers in order to decide whether a command can
// be autoapproved. None of that matters for this test, so we stub the module
// with minimal noop implementations.
vi.mock("@lib/approvals.js", () => {
return {
__esModule: true,
alwaysApprovedCommands: new Set<string>(),
canAutoApprove: () =>
({ type: "auto-approve", runInSandbox: false } as any),
isSafeCommand: () => null,
};
});
vi.mock("@lib/format-command.js", () => {
return {
__esModule: true,
formatCommandForDisplay: (cmd: Array<string>) => cmd.join(" "),
};
});
// Stub the filebased logger to avoid side effects and keep the test output
// clean.
vi.mock("../src/utils/agent/log.js", () => ({
__esModule: true,
log: () => {},
isLoggingEnabled: () => false,
}));
// ---------------------------------------------------------------------------
// After mocks are in place we can import the modules under test.
// ---------------------------------------------------------------------------
import { AgentLoop } from "../src/utils/agent/agent-loop.js";
import { loadConfig } from "../src/utils/config.js";
// ---------------------------------------------------------------------------
let projectDir: string;
beforeEach(() => {
// Create a fresh temporary directory to act as an isolated git repo.
projectDir = mkdtempSync(join(tmpdir(), "codex-proj-"));
mkdirSync(join(projectDir, ".git")); // mark as project root
// Write a small project doc that we expect to be included in the prompt.
writeFileSync(join(projectDir, "codex.md"), "# Test Project\nHello docs!\n");
lastCreateParams = null; // reset captured SDK params
});
afterEach(() => {
rmSync(projectDir, { recursive: true, force: true });
});
describe("AgentLoop", () => {
it("passes codex.md contents through the instructions parameter", async () => {
const config = loadConfig(undefined, undefined, { cwd: projectDir });
// Sanitycheck that loadConfig picked up the project doc. This is *not* the
// main assertion we just avoid a falsepositive if the fixture setup is
// incorrect.
expect(config.instructions).toContain("Hello docs!");
const agent = new AgentLoop({
model: "o3", // arbitrary
instructions: config.instructions,
config,
approvalPolicy: { mode: "suggest" } as any,
onItem: () => {},
onLoading: () => {},
getCommandConfirmation: async () => ({ review: "yes" } as any),
onLastResponseId: () => {},
});
// Kick off a single run and wait for it to finish. The fake OpenAI client
// will resolve immediately.
await agent.run([
{
type: "message",
role: "user",
content: [{ type: "input_text", text: "ping" }],
},
]);
// Ensure the AgentLoop called the SDK and that the instructions we see at
// that point still include the project doc. This validates the full path:
// loadConfig → AgentLoop → addInstructionPrefix → OpenAI SDK.
expect(lastCreateParams).not.toBeNull();
expect(lastCreateParams.instructions).toContain("Hello docs!");
});
});