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BingZ
523feda462
* fix(commit-message): use Kimi --prompt instead of Claude --print kimi-code rejects --print (suggesting --prompt). Deliver the generation prompt as the --prompt argv value so branch auto-rename and commit message generation work when Kimi is the selected agent. Fixes #11669 * test(commit-message): cover Kimi argument defaults
590 lines
19 KiB
TypeScript
590 lines
19 KiB
TypeScript
import { afterEach, describe, expect, it, vi } from 'vitest'
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import {
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COMMIT_MESSAGE_AGENT_SPECS,
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COMMIT_MESSAGE_MODEL_JSON_STRUCTURE_LIMITS,
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CUSTOM_AGENT_ID,
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DEFAULT_COMMIT_MESSAGE_AGENT_ID,
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getCommitMessageAgentCapability,
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getCommitMessageAgentSpec,
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getCommitMessageModelCapability,
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getCommitMessageModel,
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isCustomAgentId,
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listCommitMessageAgentCapabilities,
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listCommitMessageAgentIds,
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parseAntigravityModels,
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parseClaudeModels,
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parseCodexModels,
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parseCursorModels,
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parseLineModels,
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parsePiModels,
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resolveCommitMessageAgentChoice
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} from './commit-message-agent-spec'
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afterEach(() => {
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vi.restoreAllMocks()
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})
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describe('COMMIT_MESSAGE_AGENT_SPECS', () => {
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it('exposes the installed local agents as commit-message agents', () => {
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const ids = listCommitMessageAgentIds().sort()
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expect(ids).toEqual([
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'amp',
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'antigravity',
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'claude',
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'codex',
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'copilot',
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'cursor',
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'kimi',
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'opencode',
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'pi'
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])
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})
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it('uses the strongest available defaults for core agents', () => {
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expect(COMMIT_MESSAGE_AGENT_SPECS.claude?.defaultModelId).toBe('sonnet')
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expect(COMMIT_MESSAGE_AGENT_SPECS.codex?.defaultModelId).toBe('gpt-5.5')
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expect(COMMIT_MESSAGE_AGENT_SPECS.pi?.defaultModelId).toBe('github-copilot/gpt-5.4-mini')
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})
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it('uses --prompt (not Claude --print) for Kimi non-interactive generation', () => {
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// Why: kimi-code 0.31+ rejects --print; non-interactive mode is --prompt/-p (#11669).
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const spec = COMMIT_MESSAGE_AGENT_SPECS.kimi
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expect(spec).toBeDefined()
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expect(spec!.promptDelivery).toBe('argv')
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const args = spec!.buildArgs({
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prompt: 'Name a branch for adding login',
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model: 'kimi-code/kimi-for-coding',
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thinkingLevel: 'on'
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})
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expect(args).toContain('--prompt')
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expect(args).not.toContain('--print')
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// Why: with argv delivery the prompt is the value of --prompt.
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const promptIndex = args.indexOf('--prompt')
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expect(promptIndex).toBeGreaterThanOrEqual(0)
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expect(args[promptIndex + 1]).toBe('Name a branch for adding login')
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expect(args).toContain('--quiet')
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expect(args).toContain('--thinking')
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expect(args).toEqual(expect.arrayContaining(['--model', 'kimi-code/kimi-for-coding']))
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})
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it('uses the provider-qualified Kimi model id accepted by the CLI', () => {
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expect(COMMIT_MESSAGE_AGENT_SPECS.kimi?.models.map((m) => m.id)).toEqual([
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'default',
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'kimi-code/kimi-for-coding'
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])
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})
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it('maps Kimi thinking off and omission to distinct argv', () => {
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const spec = COMMIT_MESSAGE_AGENT_SPECS.kimi!
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const offArgs = spec.buildArgs({ prompt: 'PROMPT', model: 'default', thinkingLevel: 'off' })
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const defaultArgs = spec.buildArgs({ prompt: 'PROMPT', model: 'default' })
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expect(offArgs).toContain('--no-thinking')
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expect(offArgs).not.toContain('--thinking')
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expect(defaultArgs).not.toContain('--thinking')
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expect(defaultArgs).not.toContain('--no-thinking')
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})
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it('omits Kimi --model for the config default and an empty model', () => {
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const spec = COMMIT_MESSAGE_AGENT_SPECS.kimi!
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for (const model of ['default', '']) {
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expect(spec.buildArgs({ prompt: 'PROMPT', model })).not.toContain('--model')
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}
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})
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it('lists Copilot hosted CLI models even when account policy filters the picker', () => {
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expect(COMMIT_MESSAGE_AGENT_SPECS.copilot?.defaultModelId).toBe('gpt-5.4')
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expect(COMMIT_MESSAGE_AGENT_SPECS.copilot?.models.map((m) => m.id)).toEqual([
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'auto',
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'claude-haiku-4.5',
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'claude-sonnet-4.5',
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'claude-sonnet-4.6',
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'claude-opus-4.5',
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'claude-opus-4.6',
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'claude-opus-4.6-fast',
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'claude-opus-4.7',
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'gpt-4.1',
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'gpt-5-mini',
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'gpt-5.2',
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'gpt-5.2-codex',
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'gpt-5.3-codex',
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'gpt-5.4',
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'gpt-5.4-mini',
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'gpt-5.5'
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])
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})
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it('defaults the agent picker to Claude', () => {
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expect(DEFAULT_COMMIT_MESSAGE_AGENT_ID).toBe('claude')
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})
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it('treats disabled default agents as unavailable for implicit Source Control AI choices', () => {
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expect(resolveCommitMessageAgentChoice(null, 'codex', ['codex'])).toBe('claude')
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expect(resolveCommitMessageAgentChoice(null, null, ['claude'])).toBeNull()
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expect(resolveCommitMessageAgentChoice('codex', null, ['codex'])).toBe('codex')
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})
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it('gives every model with thinking levels a valid default', () => {
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for (const spec of Object.values(COMMIT_MESSAGE_AGENT_SPECS)) {
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if (!spec) {
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continue
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}
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for (const model of spec.models) {
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if (model.thinkingLevels) {
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expect(model.defaultThinkingLevel).toBeDefined()
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expect(model.thinkingLevels.some((l) => l.id === model.defaultThinkingLevel)).toBe(true)
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}
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}
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}
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})
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it('exposes thinking levels on the Spark variant (it accepts model_reasoning_effort)', () => {
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const spark = getCommitMessageModel('codex', 'gpt-5.3-codex-spark')
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expect(spark).toBeDefined()
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expect(spark?.thinkingLevels?.map((l) => l.id)).toEqual(['low', 'medium', 'high', 'xhigh'])
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expect(spark?.defaultThinkingLevel).toBe('low')
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})
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it('omits thinking levels on Claude Haiku (non-reasoning model)', () => {
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const haiku = getCommitMessageModel('claude', 'haiku')
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expect(haiku).toBeDefined()
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expect(haiku?.thinkingLevels).toBeUndefined()
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expect(haiku?.defaultThinkingLevel).toBeUndefined()
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})
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it('identifies the custom sentinel via isCustomAgentId', () => {
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expect(isCustomAgentId(CUSTOM_AGENT_ID)).toBe(true)
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expect(isCustomAgentId('claude')).toBe(false)
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expect(isCustomAgentId('codex')).toBe(false)
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expect(isCustomAgentId(null)).toBe(false)
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expect(isCustomAgentId(undefined)).toBe(false)
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})
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it('does not list "custom" alongside preset agent ids', () => {
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expect(listCommitMessageAgentIds()).not.toContain(CUSTOM_AGENT_ID)
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})
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it('orders Codex models by version descending to match the official picker', () => {
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const ids = COMMIT_MESSAGE_AGENT_SPECS.codex?.models.map((m) => m.id)
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expect(ids).toEqual([
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'gpt-5.5',
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'gpt-5.4',
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'gpt-5.4-mini',
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'gpt-5.3-codex',
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'gpt-5.3-codex-spark',
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'gpt-5.2'
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])
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})
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it('exposes UI capabilities without spawn details', () => {
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const capabilities = listCommitMessageAgentCapabilities()
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expect(capabilities.map((capability) => capability.id)).toContain('opencode')
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const codex = getCommitMessageAgentCapability('codex')
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expect(codex).toMatchObject({
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id: 'codex',
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label: 'Codex',
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modelSource: 'dynamic',
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defaultModelId: 'gpt-5.5'
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})
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expect(codex).not.toHaveProperty('binary')
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expect(codex).not.toHaveProperty('buildArgs')
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expect(getCommitMessageModelCapability('codex', 'gpt-5.4-mini')?.thinkingLevels).toBeDefined()
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})
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})
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describe('buildArgs (Claude)', () => {
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const spec = getCommitMessageAgentSpec('claude')!
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it('passes -p, output format, and model on every call', () => {
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const args = spec.buildArgs({ prompt: '', model: 'haiku' })
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expect(args).toEqual([
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'-p',
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'--output-format',
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'text',
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'--model',
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'haiku',
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'--permission-mode',
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'plan'
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])
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})
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it('appends --effort when a thinking level is supplied', () => {
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const args = spec.buildArgs({
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prompt: '',
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model: 'sonnet',
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thinkingLevel: 'high'
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})
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expect(args).toEqual([
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'-p',
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'--output-format',
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'text',
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'--model',
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'sonnet',
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'--permission-mode',
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'plan',
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'--effort',
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'high'
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])
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})
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it('omits --effort when thinkingLevel is not provided', () => {
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const args = spec.buildArgs({ prompt: '', model: 'opus' })
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expect(args).not.toContain('--effort')
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})
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})
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describe('model discovery parsers', () => {
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it('parses Claude list_models output into commit-message models', () => {
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const stdout = `${JSON.stringify({
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type: 'control_response',
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response: {
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subtype: 'success',
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request_id: 'orca-model-discovery',
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response: {
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models: [
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{
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value: 'default',
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displayName: 'Default (recommended)',
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supportsEffort: true,
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supportedEffortLevels: ['low', 'medium', 'high', 'xhigh', 'max']
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},
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{
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value: 'opus[1m]',
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displayName: 'Opus (1M context)',
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description: 'Opus 5 with 1M context · $5/$25 per Mtok',
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supportsEffort: true,
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supportedEffortLevels: ['low', 'medium', 'high', 'xhigh', 'max'],
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supportsFastMode: true
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},
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{ value: 'haiku', displayName: 'Haiku' }
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]
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}
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}
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})}\n`
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expect(parseClaudeModels(stdout)).toEqual([
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{
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id: 'opus[1m]',
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label: 'Opus (1M context)',
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description: 'Opus 5 with 1M context · $5/$25 per Mtok',
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thinkingLevels: [
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{ id: 'low', label: 'Low' },
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{ id: 'medium', label: 'Medium' },
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{ id: 'high', label: 'High' },
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{ id: 'xhigh', label: 'Extra High' },
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{ id: 'max', label: 'Max' }
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],
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defaultThinkingLevel: 'low',
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supportsFastMode: true
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},
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{ id: 'haiku', label: 'Haiku' }
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])
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})
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it('returns no Claude models when the CLI lacks list_models so the seed stays', () => {
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expect(
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parseClaudeModels(
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'{"type":"control_response","response":{"subtype":"error","request_id":"orca-model-discovery","error":"Unsupported control request subtype: list_models"}}\n'
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)
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).toEqual([])
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})
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it('declares stdin-driven dynamic discovery for Claude', () => {
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const discovery = COMMIT_MESSAGE_AGENT_SPECS.claude?.modelDiscovery
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expect(COMMIT_MESSAGE_AGENT_SPECS.claude?.modelSource).toBe('dynamic')
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expect(discovery?.binary).toBe('claude')
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expect(discovery?.args).toEqual([
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'-p',
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'--input-format',
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'stream-json',
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'--output-format',
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'stream-json',
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'--verbose'
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])
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const payload = JSON.parse(discovery?.stdinPayload ?? '') as {
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type?: string
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request?: { subtype?: string }
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}
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expect(payload.type).toBe('control_request')
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expect(payload.request?.subtype).toBe('list_models')
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expect(discovery?.stdinPayload?.endsWith('\n')).toBe(true)
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})
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it('parses Codex model JSON', () => {
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expect(
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parseCodexModels(
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JSON.stringify({
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models: [
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{
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slug: 'gpt-5.5',
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display_name: 'GPT-5.5',
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default_reasoning_level: 'low',
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supported_reasoning_levels: [{ effort: 'low' }, { effort: 'high' }]
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}
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]
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})
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)
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).toEqual([
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{
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id: 'gpt-5.5',
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label: 'GPT-5.5',
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thinkingLevels: [
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{ id: 'low', label: 'Low' },
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{ id: 'high', label: 'High' }
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],
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defaultThinkingLevel: 'low'
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}
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])
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})
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it('rejects excessive Codex model nesting before JSON.parse', () => {
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const parseSpy = vi.spyOn(JSON, 'parse')
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const depth = COMMIT_MESSAGE_MODEL_JSON_STRUCTURE_LIMITS.nestingDepth + 1
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try {
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expect(parseCodexModels(`${'['.repeat(depth)}0${']'.repeat(depth)}`)).toEqual([])
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expect(parseSpy).not.toHaveBeenCalled()
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} finally {
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parseSpy.mockRestore()
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}
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})
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it('parses one-model-per-line output', () => {
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expect(parseLineModels('opencode/gpt-5.4-mini\n\nopenai/gpt-5.5\n').map((m) => m.id)).toEqual([
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'opencode/gpt-5.4-mini',
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'openai/gpt-5.5'
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])
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})
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it('parses Pi model table output with provider-qualified ids', () => {
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const output = [
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'provider model context max-out thinking images',
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'github-copilot gpt-5.4-mini 400K 128K yes yes',
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'github-copilot gpt-4o 128K 4.1K no yes'
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].join('\n')
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expect(parsePiModels(output)).toEqual([
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{
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id: 'github-copilot/gpt-5.4-mini',
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label: 'Github Copilot GPT 5.4 Mini',
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thinkingLevels: [
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{ id: 'off', label: 'Off' },
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{ id: 'low', label: 'Low' },
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{ id: 'medium', label: 'Medium' },
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{ id: 'high', label: 'High' },
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{ id: 'xhigh', label: 'Extra High' }
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],
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defaultThinkingLevel: 'low'
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},
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{
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id: 'github-copilot/gpt-4o',
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label: 'Github Copilot GPT 4O'
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}
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])
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})
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it('parses Cursor model output', () => {
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expect(parseCursorModels('auto - Auto\ngpt-5.2 - GPT-5.2\n')).toEqual([
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{ id: 'auto', label: 'Auto' },
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{
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id: 'gpt-5.2',
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label: 'GPT-5.2',
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thinkingLevels: [
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{ id: 'low', label: 'Low' },
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{ id: 'medium', label: 'Medium' },
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{ id: 'high', label: 'High' },
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{ id: 'xhigh', label: 'Extra High' }
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],
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defaultThinkingLevel: 'low'
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}
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])
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})
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it('parses Antigravity model output', () => {
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const output = [
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'Gemini 3.5 Flash (Medium)',
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'Gemini 3.5 Flash (High)',
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'Gemini 3.5 Flash (Low)',
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'Gemini 3.1 Pro (Low)',
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'Gemini 3.1 Pro (High)',
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'Claude Sonnet 4.6 (Thinking)',
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'Claude Opus 4.6 (Thinking)',
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'GPT-OSS 120B (Medium)'
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].join('\n')
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expect(parseAntigravityModels(output)).toEqual([
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{ id: 'Gemini 3.5 Flash (Medium)', label: 'Gemini 3.5 Flash (Medium)' },
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{ id: 'Gemini 3.5 Flash (High)', label: 'Gemini 3.5 Flash (High)' },
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{ id: 'Gemini 3.5 Flash (Low)', label: 'Gemini 3.5 Flash (Low)' },
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{ id: 'Gemini 3.1 Pro (Low)', label: 'Gemini 3.1 Pro (Low)' },
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{ id: 'Gemini 3.1 Pro (High)', label: 'Gemini 3.1 Pro (High)' },
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{ id: 'Claude Sonnet 4.6 (Thinking)', label: 'Claude Sonnet 4.6 (Thinking)' },
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{ id: 'Claude Opus 4.6 (Thinking)', label: 'Claude Opus 4.6 (Thinking)' },
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{ id: 'GPT-OSS 120B (Medium)', label: 'GPT-OSS 120B (Medium)' }
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])
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})
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it('parses CRLF-heavy dynamic model outputs without full line-array splitting', () => {
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const splitSpy = vi.spyOn(String.prototype, 'split')
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const noise = 'ignored model with spaces\r\n'.repeat(10_000)
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const blankNoise = '\r\n'.repeat(10_000)
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expect(parseLineModels(`${noise}opencode/gpt-5.4-mini\r\nopenai/gpt-5.5\r\n`)).toEqual([
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{
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id: 'opencode/gpt-5.4-mini',
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label: 'Opencode GPT 5.4 Mini',
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thinkingLevels: [
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{ id: 'low', label: 'Low' },
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{ id: 'medium', label: 'Medium' },
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{ id: 'high', label: 'High' },
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{ id: 'xhigh', label: 'Extra High' }
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],
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defaultThinkingLevel: 'low'
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},
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{
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id: 'openai/gpt-5.5',
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label: 'Openai GPT 5.5',
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thinkingLevels: [
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{ id: 'low', label: 'Low' },
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{ id: 'medium', label: 'Medium' },
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{ id: 'high', label: 'High' },
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{ id: 'xhigh', label: 'Extra High' }
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],
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defaultThinkingLevel: 'low'
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}
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])
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expect(
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parsePiModels(
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`${noise}provider model context max-out thinking images\r\ngithub-copilot gpt-5.4-mini 400K 128K yes yes\r\n`
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)[0]?.id
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).toBe('github-copilot/gpt-5.4-mini')
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expect(parseCursorModels(`${noise}auto - Auto\r\ngpt-5.2 - GPT-5.2\r\n`)).toHaveLength(2)
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expect(parseAntigravityModels(`${blankNoise}Gemini 3.5 Flash (Medium)\r\n`)).toEqual([
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{ id: 'Gemini 3.5 Flash (Medium)', label: 'Gemini 3.5 Flash (Medium)' }
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])
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|
|
const usedFullLineSplit = splitSpy.mock.calls.some(
|
|
([separator]) =>
|
|
(typeof separator === 'string' && separator === '\n') ||
|
|
(separator instanceof RegExp && separator.source === '\\r?\\n')
|
|
)
|
|
const usedWhitespaceFieldSplit = splitSpy.mock.calls.some(
|
|
([separator]) => separator instanceof RegExp && separator.source === '\\s+'
|
|
)
|
|
expect(usedFullLineSplit).toBe(false)
|
|
expect(usedWhitespaceFieldSplit).toBe(false)
|
|
})
|
|
})
|
|
|
|
describe('buildArgs (Codex)', () => {
|
|
const spec = getCommitMessageAgentSpec('codex')!
|
|
|
|
it('runs `codex exec` without passing the prompt via argv', () => {
|
|
const args = spec.buildArgs({
|
|
prompt: 'PROMPT',
|
|
model: 'gpt-5.4-mini'
|
|
})
|
|
expect(args[0]).toBe('exec')
|
|
expect(args).toEqual([
|
|
'exec',
|
|
'--ephemeral',
|
|
'--skip-git-repo-check',
|
|
'-s',
|
|
'read-only',
|
|
'--model',
|
|
'gpt-5.4-mini'
|
|
])
|
|
expect(args).toContain('--model')
|
|
expect(args).not.toContain('PROMPT')
|
|
expect(spec.promptDelivery).toBe('stdin')
|
|
})
|
|
|
|
it('emits -c model_reasoning_effort=<level> when thinking level is supplied', () => {
|
|
const args = spec.buildArgs({
|
|
prompt: 'PROMPT',
|
|
model: 'gpt-5.4',
|
|
thinkingLevel: 'medium'
|
|
})
|
|
expect(args).toContain('-c')
|
|
expect(args).toContain('model_reasoning_effort=medium')
|
|
})
|
|
|
|
it('omits the -c flag when no thinking level is supplied', () => {
|
|
const args = spec.buildArgs({ prompt: 'PROMPT', model: 'gpt-5.4-mini' })
|
|
expect(args).not.toContain('-c')
|
|
})
|
|
})
|
|
|
|
describe('buildArgs (OpenCode)', () => {
|
|
const spec = getCommitMessageAgentSpec('opencode')!
|
|
|
|
it('runs `opencode run` without passing the prompt via argv', () => {
|
|
const prompt = `PROMPT ${'x'.repeat(1024)}`
|
|
const args = spec.buildArgs({
|
|
prompt,
|
|
model: 'opencode/deepseek-v4-flash-free'
|
|
})
|
|
|
|
expect(args).toEqual([
|
|
'run',
|
|
'--model',
|
|
'opencode/deepseek-v4-flash-free',
|
|
'--agent',
|
|
'build',
|
|
'--format',
|
|
'default'
|
|
])
|
|
expect(args).not.toContain(prompt)
|
|
expect(args).not.toContain('')
|
|
expect(spec.promptDelivery).toBe('stdin')
|
|
})
|
|
|
|
it('emits --variant <level> when thinking level is supplied', () => {
|
|
const args = spec.buildArgs({
|
|
prompt: 'PROMPT',
|
|
model: 'opencode/gpt-5.4-mini',
|
|
thinkingLevel: 'high'
|
|
})
|
|
|
|
expect(args).toEqual([
|
|
'run',
|
|
'--model',
|
|
'opencode/gpt-5.4-mini',
|
|
'--agent',
|
|
'build',
|
|
'--format',
|
|
'default',
|
|
'--variant',
|
|
'high'
|
|
])
|
|
})
|
|
|
|
it('omits --variant when no thinking level is supplied', () => {
|
|
const args = spec.buildArgs({
|
|
prompt: 'PROMPT',
|
|
model: 'opencode/gpt-5.4-mini'
|
|
})
|
|
|
|
expect(args).not.toContain('--variant')
|
|
})
|
|
})
|
|
|
|
describe('buildArgs (Antigravity)', () => {
|
|
const spec = getCommitMessageAgentSpec('antigravity')!
|
|
|
|
it('runs agy with --print, --sandbox, and --model flags', () => {
|
|
const args = spec.buildArgs({ prompt: '', model: 'Gemini 3.5 Flash (Medium)' })
|
|
expect(args).toEqual(['--print', '--sandbox', '--model', 'Gemini 3.5 Flash (Medium)'])
|
|
expect(spec.promptDelivery).toBe('stdin')
|
|
})
|
|
|
|
it('uses dynamic model discovery via agy models', () => {
|
|
expect(spec.modelSource).toBe('dynamic')
|
|
expect(spec.modelDiscovery?.binary).toBe('agy')
|
|
expect(spec.modelDiscovery?.args).toEqual(['models'])
|
|
})
|
|
|
|
it('uses Gemini 3.5 Flash (Medium) as default model', () => {
|
|
expect(COMMIT_MESSAGE_AGENT_SPECS.antigravity?.defaultModelId).toBe('Gemini 3.5 Flash (Medium)')
|
|
})
|
|
})
|