mirror of
https://github.com/Kaelio/ktx.git
synced 2026-06-22 08:38:08 +02:00
rename klo to ktx
This commit is contained in:
Andrey Avtomonov
parent
1a42152e6f
commit
3ce510b55b
704 changed files with 10205 additions and 10255 deletions
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@ -1,13 +1,13 @@
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import { mkdir, mkdtemp, readFile, rm, stat, writeFile } from 'node:fs/promises';
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import { tmpdir } from 'node:os';
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import { join } from 'node:path';
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import { initKloProject, parseKloProjectConfig } from '@klo/context/project';
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import { initKtxProject, parseKtxProjectConfig } from '@ktx/context/project';
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import { afterEach, beforeEach, describe, expect, it, vi } from 'vitest';
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import {
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BUNDLED_ANTHROPIC_MODELS,
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fetchAnthropicModels,
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type KloSetupModelPromptAdapter,
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runKloSetupAnthropicModelStep,
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type KtxSetupModelPromptAdapter,
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runKtxSetupAnthropicModelStep,
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} from './setup-models.js';
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function makeIo() {
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@ -39,7 +39,7 @@ function makePromptAdapter(options: {
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textValues?: string[];
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passwordValue?: string;
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passwordValues?: Array<string | undefined>;
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}): KloSetupModelPromptAdapter {
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}): KtxSetupModelPromptAdapter {
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const selectValues = [...(options.selectValues ?? [])];
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const textValues = [...(options.textValues ?? [])];
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const passwordValues = [...(options.passwordValues ?? [])];
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@ -64,8 +64,8 @@ describe('setup Anthropic model step', () => {
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let tempDir: string;
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beforeEach(async () => {
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tempDir = await mkdtemp(join(tmpdir(), 'klo-setup-models-'));
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await initKloProject({ projectDir: tempDir, projectName: 'warehouse' });
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tempDir = await mkdtemp(join(tmpdir(), 'ktx-setup-models-'));
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await initKtxProject({ projectDir: tempDir, projectName: 'warehouse' });
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});
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afterEach(async () => {
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@ -102,7 +102,7 @@ describe('setup Anthropic model step', () => {
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it('filters Claude Sonnet 4 and Claude Opus 4 from Anthropic model prompt choices', async () => {
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const prompts = makePromptAdapter({ selectValues: ['env', 'back', 'back'] });
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await runKloSetupAnthropicModelStep(
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await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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makeIo().io,
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{
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@ -120,7 +120,7 @@ describe('setup Anthropic model step', () => {
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expect(prompts.select).toHaveBeenCalledWith(
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expect.objectContaining({
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message: expect.stringContaining('Which Anthropic model should KLO use?'),
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message: expect.stringContaining('Which Anthropic model should KTX use?'),
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options: [
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{ value: 'claude-sonnet-4-6', label: 'Claude Sonnet 4.6 (recommended)' },
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{ value: 'claude-opus-4-6', label: 'Claude Opus 4.6' },
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@ -134,7 +134,7 @@ describe('setup Anthropic model step', () => {
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it('configures env credentials, selected model, prompt caching, and llm completion state', async () => {
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const io = makeIo();
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{
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projectDir: tempDir,
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inputMode: 'disabled',
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@ -150,7 +150,7 @@ describe('setup Anthropic model step', () => {
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);
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expect(result.status).toBe('ready');
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const config = parseKloProjectConfig(await readFile(join(tempDir, 'klo.yaml'), 'utf-8'));
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const config = parseKtxProjectConfig(await readFile(join(tempDir, 'ktx.yaml'), 'utf-8'));
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expect(config.llm).toMatchObject({
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provider: {
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backend: 'anthropic',
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@ -171,7 +171,7 @@ describe('setup Anthropic model step', () => {
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await writeFile(secretPath, 'sk-ant-file', 'utf-8');
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const healthCheck = vi.fn(async () => ({ ok: true as const }));
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{
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projectDir: tempDir,
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inputMode: 'disabled',
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@ -190,7 +190,7 @@ describe('setup Anthropic model step', () => {
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modelSlots: { default: 'claude-sonnet-4-6' },
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}),
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);
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const config = parseKloProjectConfig(await readFile(join(tempDir, 'klo.yaml'), 'utf-8'));
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const config = parseKtxProjectConfig(await readFile(join(tempDir, 'ktx.yaml'), 'utf-8'));
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expect(config.llm).toMatchObject({
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provider: {
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backend: 'anthropic',
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@ -207,7 +207,7 @@ describe('setup Anthropic model step', () => {
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const missingSecretPath = join(tempDir, 'missing-anthropic-api-key');
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const healthCheck = vi.fn(async () => ({ ok: true as const }));
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{
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projectDir: tempDir,
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inputMode: 'disabled',
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@ -227,7 +227,7 @@ describe('setup Anthropic model step', () => {
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it('does not recommend skipping when non-interactive setup is missing an Anthropic credential source', async () => {
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const io = makeIo();
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'disabled', skipLlm: false },
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io.io,
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);
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@ -243,7 +243,7 @@ describe('setup Anthropic model step', () => {
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const io = makeIo();
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const healthCheck = vi.fn(async () => ({ ok: true as const }));
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{
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projectDir: tempDir,
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inputMode: 'disabled',
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@ -260,7 +260,7 @@ describe('setup Anthropic model step', () => {
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expect(io.stderr()).not.toContain('--skip-llm');
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});
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it('writes pasted keys to .klo/secrets and never prints the key', async () => {
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it('writes pasted keys to .ktx/secrets and never prints the key', async () => {
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const io = makeIo();
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const prompts = makePromptAdapter({
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credentialChoice: 'paste',
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@ -268,7 +268,7 @@ describe('setup Anthropic model step', () => {
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passwordValue: 'sk-ant-pasted',
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});
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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io.io,
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{
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@ -280,11 +280,11 @@ describe('setup Anthropic model step', () => {
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);
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expect(result.status).toBe('ready');
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await expect(readFile(join(tempDir, '.klo/secrets/anthropic-api-key'), 'utf-8')).resolves.toBe('sk-ant-pasted\n');
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await expect(readFile(join(tempDir, '.ktx/secrets/anthropic-api-key'), 'utf-8')).resolves.toBe('sk-ant-pasted\n');
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if (process.platform !== 'win32') {
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expect((await stat(join(tempDir, '.klo/secrets/anthropic-api-key'))).mode & 0o777).toBe(0o600);
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expect((await stat(join(tempDir, '.ktx/secrets/anthropic-api-key'))).mode & 0o777).toBe(0o600);
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}
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const yaml = await readFile(join(tempDir, 'klo.yaml'), 'utf-8');
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const yaml = await readFile(join(tempDir, 'ktx.yaml'), 'utf-8');
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expect(yaml).toContain('api_key: file:');
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expect(yaml).not.toContain('sk-ant-pasted');
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expect(io.stdout()).not.toContain('sk-ant-pasted');
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@ -296,7 +296,7 @@ describe('setup Anthropic model step', () => {
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passwordValue: 'sk-ant-pasted',
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});
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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makeIo().io,
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{
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@ -317,7 +317,7 @@ describe('setup Anthropic model step', () => {
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it('does not offer skipping while choosing an Anthropic credential source', async () => {
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const prompts = makePromptAdapter({ credentialChoice: 'back' });
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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makeIo().io,
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{ prompts, env: {} },
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@ -326,26 +326,26 @@ describe('setup Anthropic model step', () => {
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expect(result.status).toBe('back');
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expect(prompts.select).toHaveBeenCalledWith(
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expect.objectContaining({
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message: expect.stringContaining('How should KLO find your Anthropic API key?'),
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message: expect.stringContaining('How should KTX find your Anthropic API key?'),
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options: expect.not.arrayContaining([expect.objectContaining({ value: 'skip' })]),
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}),
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);
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});
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it('explains why KLO asks for an Anthropic API key', async () => {
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it('explains why KTX asks for an Anthropic API key', async () => {
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const io = makeIo();
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const prompts = makePromptAdapter({ credentialChoice: 'back' });
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const expectedPromptMessage = [
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'How should KLO find your Anthropic API key?',
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'How should KTX find your Anthropic API key?',
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'',
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[
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'KLO uses the key to verify Anthropic model access now and to run ingest agents that turn schemas, SQL,',
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'BI metadata, and docs into semantic-layer sources and wiki context. klo.yaml stores an env: or file:',
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'KTX uses the key to verify Anthropic model access now and to run ingest agents that turn schemas, SQL,',
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'BI metadata, and docs into semantic-layer sources and wiki context. ktx.yaml stores an env: or file:',
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'reference, not the raw key.',
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].join(' '),
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].join('\n');
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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io.io,
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{ prompts, env: {} },
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@ -357,13 +357,13 @@ describe('setup Anthropic model step', () => {
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message: expectedPromptMessage,
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}),
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);
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expect(io.stdout()).not.toContain('KLO uses the key');
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expect(io.stdout()).not.toContain('KTX uses the key');
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});
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it('does not offer skipping while choosing an Anthropic model', async () => {
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const prompts = makePromptAdapter({ selectValues: ['env', 'back', 'back'] });
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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makeIo().io,
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{
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@ -376,25 +376,25 @@ describe('setup Anthropic model step', () => {
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expect(result.status).toBe('back');
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expect(prompts.select).toHaveBeenCalledWith(
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expect.objectContaining({
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message: expect.stringContaining('Which Anthropic model should KLO use?'),
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message: expect.stringContaining('Which Anthropic model should KTX use?'),
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options: expect.not.arrayContaining([expect.objectContaining({ value: 'skip' })]),
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}),
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);
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});
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it('explains why KLO asks for an Anthropic model', async () => {
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it('explains why KTX asks for an Anthropic model', async () => {
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const io = makeIo();
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const prompts = makePromptAdapter({ credentialChoice: 'env', modelChoice: 'claude-sonnet-4-6' });
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const expectedPromptMessage = [
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'Which Anthropic model should KLO use?',
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'Which Anthropic model should KTX use?',
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'',
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[
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'KLO uses this as the default model for ingest agents that turn schemas, SQL, BI metadata, and docs',
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'KTX uses this as the default model for ingest agents that turn schemas, SQL, BI metadata, and docs',
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'into semantic-layer sources and wiki context.',
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].join(' '),
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].join('\n');
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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io.io,
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{
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@ -411,7 +411,7 @@ describe('setup Anthropic model step', () => {
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message: expectedPromptMessage,
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}),
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);
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expect(io.stdout()).not.toContain('KLO uses this as the default model');
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expect(io.stdout()).not.toContain('KTX uses this as the default model');
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expect(io.stdout()).not.toContain('Setup verifies the selected model now');
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});
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@ -420,7 +420,7 @@ describe('setup Anthropic model step', () => {
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const prompts = makePromptAdapter({ credentialChoice: 'env', modelChoice: 'claude-sonnet-4-6' });
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await expect(
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runKloSetupAnthropicModelStep({ projectDir: tempDir, inputMode: 'auto', skipLlm: false }, io.io, {
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runKtxSetupAnthropicModelStep({ projectDir: tempDir, inputMode: 'auto', skipLlm: false }, io.io, {
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prompts,
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env: { ANTHROPIC_API_KEY: 'sk-ant-test' },
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listModels: vi.fn(async () => {
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@ -437,7 +437,7 @@ describe('setup Anthropic model step', () => {
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const io = makeIo();
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const prompts = makePromptAdapter({ selectValues: ['env', 'manual'], textValues: [''] });
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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io.io,
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{
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@ -454,7 +454,7 @@ describe('setup Anthropic model step', () => {
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expect(BUNDLED_ANTHROPIC_MODELS.length).toBeGreaterThan(0);
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expect(prompts.select).toHaveBeenCalledWith(
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expect.objectContaining({
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message: expect.stringContaining('Which Anthropic model should KLO use?'),
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message: expect.stringContaining('Which Anthropic model should KTX use?'),
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options: expect.arrayContaining([
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{ value: 'claude-sonnet-4-6', label: 'Claude Sonnet 4.6 (recommended)' },
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]),
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@ -476,7 +476,7 @@ describe('setup Anthropic model step', () => {
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);
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const healthCheck = vi.fn(async () => ({ ok: true as const }));
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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io.io,
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{
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@ -498,7 +498,7 @@ describe('setup Anthropic model step', () => {
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it('does not persist llm completion when the health check fails', async () => {
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const io = makeIo();
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{
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projectDir: tempDir,
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inputMode: 'disabled',
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@ -514,7 +514,7 @@ describe('setup Anthropic model step', () => {
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);
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expect(result.status).toBe('failed');
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const config = parseKloProjectConfig(await readFile(join(tempDir, 'klo.yaml'), 'utf-8'));
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const config = parseKtxProjectConfig(await readFile(join(tempDir, 'ktx.yaml'), 'utf-8'));
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expect(config.setup?.completed_steps ?? []).not.toContain('llm');
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expect(io.stderr()).toContain('Anthropic model health check failed: 401 invalid x-api-key [redacted]');
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expect(io.stderr()).not.toContain('sk-ant-test');
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@ -530,7 +530,7 @@ describe('setup Anthropic model step', () => {
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.mockResolvedValueOnce({ ok: false as const, message: 'model not found' })
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.mockResolvedValueOnce({ ok: true as const });
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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io.io,
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{
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@ -549,33 +549,33 @@ describe('setup Anthropic model step', () => {
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expect(prompts.select).toHaveBeenCalledTimes(4);
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expect(io.stderr()).toContain('Anthropic model health check failed: model not found');
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expect(io.stderr()).toContain('Choose a different credential source or model, or Back.');
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const config = parseKloProjectConfig(await readFile(join(tempDir, 'klo.yaml'), 'utf-8'));
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const config = parseKtxProjectConfig(await readFile(join(tempDir, 'ktx.yaml'), 'utf-8'));
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expect(config.llm.models.default).toBe('claude-sonnet-4-6');
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expect(config.setup?.completed_steps).toContain('llm');
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expect(io.stderr()).not.toContain('sk-ant-test');
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});
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it('leaves setup incomplete when skipped', async () => {
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'disabled', skipLlm: true },
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makeIo().io,
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);
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expect(result.status).toBe('skipped');
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const config = parseKloProjectConfig(await readFile(join(tempDir, 'klo.yaml'), 'utf-8'));
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const config = parseKtxProjectConfig(await readFile(join(tempDir, 'ktx.yaml'), 'utf-8'));
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expect(config.setup?.completed_steps ?? []).not.toContain('llm');
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});
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it('returns back without writing config when Back is selected', async () => {
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const prompts = makePromptAdapter({ credentialChoice: 'back' });
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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makeIo().io,
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{ prompts, env: {} },
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);
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expect(result.status).toBe('back');
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const config = parseKloProjectConfig(await readFile(join(tempDir, 'klo.yaml'), 'utf-8'));
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const config = parseKtxProjectConfig(await readFile(join(tempDir, 'ktx.yaml'), 'utf-8'));
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expect(config.llm.provider.backend).toBe('none');
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});
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|
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@ -585,7 +585,7 @@ describe('setup Anthropic model step', () => {
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passwordValue: 'sk-ant-pasted',
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});
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|
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const result = await runKloSetupAnthropicModelStep(
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const result = await runKtxSetupAnthropicModelStep(
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{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
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makeIo().io,
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{
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|
|
@ -600,10 +600,10 @@ describe('setup Anthropic model step', () => {
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expect(prompts.select).toHaveBeenNthCalledWith(
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3,
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expect.objectContaining({
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message: expect.stringContaining('How should KLO find your Anthropic API key?'),
|
||||
message: expect.stringContaining('How should KTX find your Anthropic API key?'),
|
||||
}),
|
||||
);
|
||||
const config = parseKloProjectConfig(await readFile(join(tempDir, 'klo.yaml'), 'utf-8'));
|
||||
const config = parseKtxProjectConfig(await readFile(join(tempDir, 'ktx.yaml'), 'utf-8'));
|
||||
expect(config.llm.provider.backend).toBe('none');
|
||||
});
|
||||
|
||||
|
|
@ -613,7 +613,7 @@ describe('setup Anthropic model step', () => {
|
|||
passwordValues: [undefined],
|
||||
});
|
||||
|
||||
const result = await runKloSetupAnthropicModelStep(
|
||||
const result = await runKtxSetupAnthropicModelStep(
|
||||
{ projectDir: tempDir, inputMode: 'auto', skipLlm: false },
|
||||
makeIo().io,
|
||||
{
|
||||
|
|
@ -628,10 +628,10 @@ describe('setup Anthropic model step', () => {
|
|||
expect(prompts.password).toHaveBeenCalledWith({
|
||||
message: 'Anthropic API key\nPress Escape to go back.\n',
|
||||
});
|
||||
await expect(readFile(join(tempDir, '.klo/secrets/anthropic-api-key'), 'utf-8')).rejects.toMatchObject({
|
||||
await expect(readFile(join(tempDir, '.ktx/secrets/anthropic-api-key'), 'utf-8')).rejects.toMatchObject({
|
||||
code: 'ENOENT',
|
||||
});
|
||||
const config = parseKloProjectConfig(await readFile(join(tempDir, 'klo.yaml'), 'utf-8'));
|
||||
const config = parseKtxProjectConfig(await readFile(join(tempDir, 'ktx.yaml'), 'utf-8'));
|
||||
expect(config.llm.provider).toMatchObject({
|
||||
backend: 'anthropic',
|
||||
anthropic: { api_key: 'env:ANTHROPIC_API_KEY' },
|
||||
|
|
@ -639,10 +639,10 @@ describe('setup Anthropic model step', () => {
|
|||
});
|
||||
|
||||
it('preserves already completed llm setup when no model args request changes', async () => {
|
||||
await mkdir(join(tempDir, '.klo'), { recursive: true });
|
||||
await initKloProject({ projectDir: tempDir, projectName: 'warehouse', force: true });
|
||||
await mkdir(join(tempDir, '.ktx'), { recursive: true });
|
||||
await initKtxProject({ projectDir: tempDir, projectName: 'warehouse', force: true });
|
||||
await writeFile(
|
||||
join(tempDir, 'klo.yaml'),
|
||||
join(tempDir, 'ktx.yaml'),
|
||||
[
|
||||
'project: warehouse',
|
||||
'setup:',
|
||||
|
|
@ -669,7 +669,7 @@ describe('setup Anthropic model step', () => {
|
|||
|
||||
const healthCheck = vi.fn(async () => ({ ok: true as const }));
|
||||
await expect(
|
||||
runKloSetupAnthropicModelStep({ projectDir: tempDir, inputMode: 'disabled', skipLlm: false }, makeIo().io, {
|
||||
runKtxSetupAnthropicModelStep({ projectDir: tempDir, inputMode: 'disabled', skipLlm: false }, makeIo().io, {
|
||||
env: { ANTHROPIC_API_KEY: 'sk-ant-test' },
|
||||
healthCheck,
|
||||
}),
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue