mirror of
https://github.com/Kaelio/ktx.git
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The ingest HUD showed "step 70/40" because the Claude subscription runtime re-derived a per-turn counter that could not match the SDK's num_turns and overshot the maxTurns budget. Replace the turn-based work_unit_step heartbeat with a real, observed tool-call count (no denominator), report metrics.stepCount from the SDK's authoritative num_turns, and delete the brittle countsAsAssistantTurn denylist plus the now-unused onStepFinish callback across the runtime port and all three runtimes. Reconcile and curator progress move to the same tool-call heartbeat.
558 lines
19 KiB
TypeScript
558 lines
19 KiB
TypeScript
import { describe, expect, it, vi } from 'vitest';
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import { z } from 'zod';
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import {
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CodexKtxLlmRuntime,
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runCodexAuthProbe,
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} from '../../../src/context/llm/codex-runtime.js';
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async function* events(items: unknown[]) {
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for (const item of items) {
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yield item;
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}
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}
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function runner(items: unknown[]) {
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return {
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runStreamed: vi.fn(async () => events(items)),
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};
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}
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/** Yields the given events, then throws — mirroring the SDK throwing on a non-zero codex exec exit. */
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function throwingRunner(items: unknown[], error: Error) {
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return {
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runStreamed: vi.fn(async () =>
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(async function* () {
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for (const item of items) {
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yield item;
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}
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throw error;
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})(),
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),
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};
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}
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const MODEL_UNSUPPORTED_API_ERROR = JSON.stringify({
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type: 'error',
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status: 400,
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error: {
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type: 'invalid_request_error',
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message: "The 'gpt-5.3-codex' model is not supported when using Codex with a ChatGPT account.",
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},
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});
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function budgetRunner() {
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let observedSignal: AbortSignal | undefined;
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return {
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observedSignal: () => observedSignal,
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runStreamed: vi.fn(async (input: { signal?: AbortSignal }) => {
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observedSignal = input.signal;
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return events([
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{ type: 'turn.started' },
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{ type: 'item.started', item: { type: 'mcp_tool_call', server: 'ktx', tool: 'first', status: 'in_progress' } },
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{ type: 'item.completed', item: { type: 'mcp_tool_call', server: 'ktx', tool: 'first', status: 'completed' } },
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{ type: 'item.started', item: { type: 'mcp_tool_call', server: 'ktx', tool: 'second', status: 'in_progress' } },
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{ type: 'item.completed', item: { type: 'mcp_tool_call', server: 'ktx', tool: 'second', status: 'completed' } },
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{ type: 'turn.completed', usage: { input_tokens: 1, output_tokens: 1 } },
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]);
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}),
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};
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}
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describe('CodexKtxLlmRuntime', () => {
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it('generates text with the role-selected model and metrics', async () => {
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const onMetrics = vi.fn();
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const fakeRunner = runner([
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{ type: 'turn.started' },
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{ type: 'item.completed', item: { type: 'agent_message', text: 'hello' } },
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{ type: 'turn.completed', usage: { input_tokens: 3, output_tokens: 4, total_tokens: 7 } },
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]);
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex', triage: 'gpt-5.4' },
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runner: fakeRunner,
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});
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await expect(runtime.generateText({ role: 'triage', system: 'system', prompt: 'prompt', onMetrics })).resolves.toBe('hello');
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expect(fakeRunner.runStreamed).toHaveBeenCalledWith(
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expect.objectContaining({
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projectDir: '/tmp/project',
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model: 'gpt-5.4',
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prompt: 'system\n\nprompt',
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}),
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);
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expect(onMetrics).toHaveBeenCalledWith(expect.objectContaining({ usage: { inputTokens: 3, outputTokens: 4, totalTokens: 7 } }));
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});
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it('generates and validates structured output', async () => {
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const fakeRunner = runner([
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{ type: 'turn.started' },
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{ type: 'item.completed', item: { type: 'agent_message', text: '{"answer":"yes"}' } },
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{ type: 'turn.completed' },
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]);
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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});
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await expect(
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runtime.generateObject({
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role: 'default',
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prompt: 'json',
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schema: z.object({ answer: z.string() }),
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}),
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).resolves.toEqual({ answer: 'yes' });
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expect(fakeRunner.runStreamed).toHaveBeenCalledWith(
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expect.objectContaining({
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outputSchema: expect.objectContaining({ type: 'object' }),
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}),
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);
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});
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it('returns a structured-output error when Codex final text is invalid JSON', async () => {
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const fakeRunner = runner([
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{ type: 'turn.started' },
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{ type: 'item.completed', item: { type: 'agent_message', text: 'not json' } },
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{ type: 'turn.completed' },
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]);
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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});
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await expect(
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runtime.generateObject({
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role: 'default',
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prompt: 'json',
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schema: z.object({ answer: z.string() }),
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}),
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).rejects.toThrow('Codex structured output failed validation');
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});
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it('reports Codex rate-limit failures and retries with opaque backoff', async () => {
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const waitForReady = vi.fn().mockResolvedValue(undefined);
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const report = vi.fn();
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const fakeRunner = {
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runStreamed: vi
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.fn()
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.mockResolvedValueOnce(events([{ type: 'turn.failed', error: { message: '429 rate limit exceeded' } }]))
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.mockResolvedValueOnce(
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events([
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{ type: 'turn.started' },
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{ type: 'item.completed', item: { type: 'agent_message', text: 'ok' } },
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{ type: 'turn.completed' },
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]),
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),
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};
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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rateLimitGovernor: { waitForReady, report, maxRetryAttempts: () => 6 } as never,
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});
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await expect(runtime.generateText({ role: 'default', prompt: 'hello' })).resolves.toBe('ok');
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expect(report).toHaveBeenCalledWith({ provider: 'codex', status: 'rejected', rateLimitType: 'opaque' });
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expect(waitForReady).toHaveBeenCalledTimes(2);
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expect(fakeRunner.runStreamed).toHaveBeenCalledTimes(2);
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});
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it('reports thrown Codex rate-limit failures and retries with opaque backoff', async () => {
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const waitForReady = vi.fn().mockResolvedValue(undefined);
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const report = vi.fn();
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const fakeRunner = {
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runStreamed: vi
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.fn()
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.mockRejectedValueOnce(new Error('ThreadError: 429 rate limit exceeded'))
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.mockResolvedValueOnce(
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events([
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{ type: 'turn.started' },
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{ type: 'item.completed', item: { type: 'agent_message', text: 'ok' } },
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{ type: 'turn.completed' },
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]),
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),
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};
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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rateLimitGovernor: { waitForReady, report, maxRetryAttempts: () => 6 } as never,
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});
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await expect(runtime.generateText({ role: 'default', prompt: 'hello' })).resolves.toBe('ok');
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expect(report).toHaveBeenCalledWith({ provider: 'codex', status: 'rejected', rateLimitType: 'opaque' });
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expect(waitForReady).toHaveBeenCalledTimes(2);
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expect(fakeRunner.runStreamed).toHaveBeenCalledTimes(2);
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});
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it('surfaces Codex rate-limit failures without retrying when no governor is present', async () => {
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const fakeRunner = runner([{ type: 'turn.failed', error: { message: '429 rate limit exceeded' } }]);
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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});
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await expect(runtime.generateText({ role: 'default', prompt: 'hello' })).rejects.toThrow(/rate limit/i);
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expect(fakeRunner.runStreamed).toHaveBeenCalledTimes(1);
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});
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it('passes abort signals into Codex text generation and governor waits', async () => {
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const controller = new AbortController();
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const waitForReady = vi.fn().mockResolvedValue(undefined);
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let observedSignal: AbortSignal | undefined;
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const fakeRunner = {
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runStreamed: vi.fn(async (input: { signal?: AbortSignal }) => {
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observedSignal = input.signal;
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return events([
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{ type: 'turn.started' },
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{ type: 'item.completed', item: { type: 'agent_message', text: 'ok' } },
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{ type: 'turn.completed' },
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]);
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}),
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};
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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rateLimitGovernor: { waitForReady, report: vi.fn(), maxRetryAttempts: () => 6 } as never,
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});
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await expect(runtime.generateText({ role: 'default', prompt: 'hello', abortSignal: controller.signal })).resolves.toBe('ok');
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expect(waitForReady).toHaveBeenCalledWith(controller.signal);
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expect(observedSignal).toBe(controller.signal);
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});
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it('links the parent abort signal into Codex agent-loop streamed runs', async () => {
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const controller = new AbortController();
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let releaseStream!: () => void;
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const streamRelease = new Promise<void>((resolve) => {
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releaseStream = resolve;
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});
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let markRunnerCalled!: () => void;
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const runnerCalled = new Promise<void>((resolve) => {
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markRunnerCalled = resolve;
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});
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let observedSignal: AbortSignal | undefined;
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const fakeRunner = {
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runStreamed: vi.fn(async (input: { signal?: AbortSignal }) => {
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observedSignal = input.signal;
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markRunnerCalled();
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return (async function* () {
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await streamRelease;
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yield { type: 'turn.started' };
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yield { type: 'item.completed', item: { type: 'agent_message', text: 'ok' } };
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yield { type: 'turn.completed' };
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})();
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}),
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};
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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});
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const pending = runtime.runAgentLoop({
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modelRole: 'default',
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systemPrompt: '',
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userPrompt: '',
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toolSet: {},
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stepBudget: 10,
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telemetryTags: {},
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abortSignal: controller.signal,
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});
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await runnerCalled;
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expect(observedSignal).toBeDefined();
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expect(observedSignal).not.toBe(controller.signal);
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controller.abort();
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expect(observedSignal?.aborted).toBe(true);
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releaseStream();
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await expect(pending).resolves.toMatchObject({ stopReason: 'natural' });
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});
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it('starts and closes a temporary MCP server for tool-backed agent loops', async () => {
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const close = vi.fn(async () => undefined);
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const startMcpServer = vi.fn(async () => ({
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url: 'http://127.0.0.1:4321/mcp',
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bearerTokenEnvVar: 'KTX_CODEX_RUNTIME_MCP_TOKEN' as const,
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bearerToken: 'token',
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close,
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}));
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const fakeRunner = runner([
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{ type: 'turn.started' },
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{ type: 'item.started', item: { type: 'mcp_tool_call', name: 'wiki_search' } },
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{ type: 'item.completed', item: { type: 'agent_message', text: 'done' } },
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{ type: 'turn.completed', usage: { input_tokens: 1, output_tokens: 1, total_tokens: 2 } },
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]);
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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startMcpServer,
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});
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const result = await runtime.runAgentLoop({
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modelRole: 'default',
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systemPrompt: 'system',
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userPrompt: 'user',
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stepBudget: 5,
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telemetryTags: {},
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toolSet: {
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aliased_wiki_tool: {
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name: 'wiki_search',
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description: 'Search wiki',
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inputSchema: z.object({ query: z.string() }),
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execute: vi.fn(),
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},
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},
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});
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expect(result.stopReason).toBe('natural');
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expect(result.metrics).toMatchObject({ stepCount: 1, usage: { inputTokens: 1, outputTokens: 1, totalTokens: 2 } });
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expect(startMcpServer).toHaveBeenCalledWith({ projectDir: '/tmp/project', toolSet: expect.any(Object) });
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expect(fakeRunner.runStreamed).toHaveBeenCalledWith(
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expect.objectContaining({
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env: { KTX_CODEX_RUNTIME_MCP_TOKEN: 'token' },
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configOverrides: expect.objectContaining({
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mcp_servers: expect.objectContaining({
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ktx: expect.objectContaining({
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url: 'http://127.0.0.1:4321/mcp',
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enabled_tools: ['wiki_search'],
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required: true,
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}),
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}),
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}),
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}),
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);
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expect(close).toHaveBeenCalled();
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});
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it('returns error stop reason on turn failure', async () => {
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: runner([{ type: 'turn.failed', error: { message: 'boom' } }]),
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});
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const result = await runtime.runAgentLoop({
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modelRole: 'default',
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systemPrompt: 'system',
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userPrompt: 'user',
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stepBudget: 5,
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telemetryTags: {},
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toolSet: {},
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});
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expect(result.stopReason).toBe('error');
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expect(result.error?.message).toBe('boom');
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});
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it('surfaces failed MCP tool calls as agent-loop errors', async () => {
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: runner([
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{ type: 'turn.started' },
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{ type: 'item.started', item: { type: 'mcp_tool_call', server: 'ktx', tool: 'search', status: 'in_progress' } },
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{
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type: 'item.completed',
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item: {
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type: 'mcp_tool_call',
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server: 'ktx',
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tool: 'search',
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status: 'failed',
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error: { message: 'denied' },
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},
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},
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{ type: 'turn.completed', usage: { input_tokens: 1, output_tokens: 1 } },
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]),
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});
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const result = await runtime.runAgentLoop({
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modelRole: 'default',
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systemPrompt: 'system',
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userPrompt: 'user',
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stepBudget: 5,
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telemetryTags: {},
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toolSet: {},
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});
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expect(result.stopReason).toBe('error');
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expect(result.error?.message).toBe('Codex runtime tool call failed: search: denied');
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expect(result.metrics).toMatchObject({
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stepCount: 1,
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usage: { inputTokens: 1, outputTokens: 1, totalTokens: 2 },
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});
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});
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it('returns budget and aborts the Codex stream when local MCP step budget is reached', async () => {
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const fakeRunner = budgetRunner();
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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});
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const result = await runtime.runAgentLoop({
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modelRole: 'default',
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systemPrompt: 'system',
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userPrompt: 'user',
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stepBudget: 1,
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telemetryTags: {},
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toolSet: {
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first: {
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name: 'first',
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description: 'First tool',
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inputSchema: z.object({}),
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execute: vi.fn(),
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},
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},
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});
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expect(result.stopReason).toBe('budget');
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expect(result.error).toBeUndefined();
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expect(result.metrics).toMatchObject({ stepCount: 1 });
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expect(fakeRunner.observedSignal()?.aborted).toBe(true);
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});
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it('counts built-in command_execution steps against the budget and aborts the stream', async () => {
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let observedSignal: AbortSignal | undefined;
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const fakeRunner = {
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observedSignal: () => observedSignal,
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runStreamed: vi.fn(async (input: { signal?: AbortSignal }) => {
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observedSignal = input.signal;
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return events([
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{ type: 'turn.started' },
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{ type: 'item.started', item: { type: 'command_execution', command: 'ls', status: 'in_progress' } },
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{ type: 'item.completed', item: { type: 'command_execution', command: 'ls', status: 'completed', exit_code: 0 } },
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{ type: 'item.started', item: { type: 'command_execution', command: 'cat a', status: 'in_progress' } },
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{ type: 'item.completed', item: { type: 'command_execution', command: 'cat a', status: 'completed', exit_code: 0 } },
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{ type: 'item.completed', item: { type: 'command_execution', command: 'cat b', status: 'completed', exit_code: 0 } },
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{ type: 'turn.completed', usage: { input_tokens: 1, output_tokens: 1 } },
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]);
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}),
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};
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
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runner: fakeRunner,
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});
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const result = await runtime.runAgentLoop({
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modelRole: 'default',
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systemPrompt: 'system',
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userPrompt: 'user',
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stepBudget: 2,
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telemetryTags: {},
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toolSet: {},
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});
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expect(result.stopReason).toBe('budget');
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expect(result.error).toBeUndefined();
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expect(result.metrics).toMatchObject({ stepCount: 2 });
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expect(fakeRunner.observedSignal()?.aborted).toBe(true);
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});
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it('surfaces the real Codex error event even when the SDK stream throws afterward', async () => {
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// The SDK yields the error/turn.failed events on stdout, then throws on the
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// non-zero exit. The masked exit message must not hide the real API error.
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const fakeRunner = throwingRunner(
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[
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{ type: 'thread.started', thread_id: 't' },
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{ type: 'turn.started' },
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{ type: 'error', message: MODEL_UNSUPPORTED_API_ERROR },
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{ type: 'turn.failed', error: { message: MODEL_UNSUPPORTED_API_ERROR } },
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],
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new Error('Codex Exec exited with code 1: Reading prompt from stdin...'),
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);
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const runtime = new CodexKtxLlmRuntime({
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projectDir: '/tmp/project',
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modelSlots: { default: 'codex' },
|
|
runner: fakeRunner,
|
|
});
|
|
|
|
await expect(runtime.generateText({ role: 'default', prompt: 'hi' })).rejects.toThrow(
|
|
'not supported when using Codex with a ChatGPT account',
|
|
);
|
|
});
|
|
|
|
it('probes Codex authentication through a minimal non-interactive turn', async () => {
|
|
const fakeRunner = runner([
|
|
{ type: 'turn.started' },
|
|
{ type: 'item.completed', item: { type: 'agent_message', text: 'ok' } },
|
|
{ type: 'turn.completed' },
|
|
]);
|
|
|
|
await expect(
|
|
runCodexAuthProbe({
|
|
projectDir: '/tmp/project',
|
|
model: 'codex',
|
|
runner: fakeRunner,
|
|
}),
|
|
).resolves.toEqual({ ok: true });
|
|
});
|
|
|
|
it('reports an unavailable model without blaming auth when Codex rejects the model', async () => {
|
|
const fakeRunner = throwingRunner(
|
|
[
|
|
{ type: 'turn.started' },
|
|
{ type: 'turn.failed', error: { message: MODEL_UNSUPPORTED_API_ERROR } },
|
|
],
|
|
new Error('Codex Exec exited with code 1: Reading prompt from stdin...'),
|
|
);
|
|
|
|
const result = await runCodexAuthProbe({
|
|
projectDir: '/tmp/project',
|
|
model: 'gpt-5.3-codex',
|
|
runner: fakeRunner,
|
|
});
|
|
|
|
expect(result.ok).toBe(false);
|
|
if (!result.ok) {
|
|
expect(result.message).not.toContain('authentication is not usable');
|
|
expect(result.message).toContain('not available');
|
|
expect(result.message).toContain('gpt-5.3-codex');
|
|
expect(result.message).toContain('not supported when using Codex with a ChatGPT account');
|
|
// A model-access failure must steer the user at the model config, not auth.
|
|
expect(result.fix).toContain('llm.models.default');
|
|
expect(result.fix).not.toContain('Authenticate Codex');
|
|
}
|
|
});
|
|
|
|
it('reports an auth failure when Codex exits without an error event', async () => {
|
|
const fakeRunner = throwingRunner(
|
|
[],
|
|
new Error('Codex Exec exited with code 1: Not logged in. Run `codex login`.'),
|
|
);
|
|
|
|
const result = await runCodexAuthProbe({
|
|
projectDir: '/tmp/project',
|
|
model: 'gpt-5.5',
|
|
runner: fakeRunner,
|
|
});
|
|
|
|
expect(result.ok).toBe(false);
|
|
if (!result.ok) {
|
|
expect(result.message).toContain('authentication is not usable');
|
|
expect(result.message).toContain('Not logged in');
|
|
expect(result.fix).toContain('Authenticate Codex');
|
|
}
|
|
});
|
|
|
|
it('rejects an unsupported model id before probing, steering at llm.models.default', async () => {
|
|
const result = await runCodexAuthProbe({
|
|
projectDir: '/tmp/project',
|
|
model: 'not-a-real-model',
|
|
});
|
|
|
|
expect(result.ok).toBe(false);
|
|
if (!result.ok) {
|
|
expect(result.message).toContain('Unsupported Codex model');
|
|
expect(result.fix).toContain('llm.models.default');
|
|
}
|
|
});
|
|
});
|