YeonGyu-Kim
771 lines
24 KiB
TypeScript
771 lines
24 KiB
TypeScript
import { describe, test, expect, beforeEach, afterEach, mock } from "bun:test"
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import type { DelegateTaskArgs } from "../types"
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import type { ExecutorContext } from "../executor-types"
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type SubagentResolverModule = typeof import("../subagent-resolver")
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const logMock = mock((..._args: unknown[]) => {})
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const readConnectedProvidersCacheMock = mock(() => null as string[] | null)
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const readProviderModelsCacheMock = mock(
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() => null as {
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models: Record<string, string[]>
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connected: string[]
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updatedAt: string
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} | null,
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)
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async function importFreshSubagentResolverModule(): Promise<SubagentResolverModule> {
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return await import(`../subagent-resolver?test=${Date.now()}-${Math.random()}`)
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}
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function createBaseArgs(overrides?: Partial<DelegateTaskArgs>): DelegateTaskArgs {
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return {
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description: "Run review",
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prompt: "Review the current changes",
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run_in_background: false,
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load_skills: [],
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subagent_type: "oracle",
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...overrides,
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}
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}
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function createExecutorContext(
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agentsFn: () => Promise<unknown>,
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overrides?: Partial<ExecutorContext>,
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): ExecutorContext {
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const client = {
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app: {
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agents: agentsFn,
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},
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} as ExecutorContext["client"]
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return {
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client,
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manager: {} as ExecutorContext["manager"],
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directory: "/tmp/test",
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...overrides,
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}
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}
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describe("resolveSubagentExecution", () => {
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let resolveSubagentExecution: SubagentResolverModule["resolveSubagentExecution"]
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beforeEach(async () => {
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mock.restore()
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logMock.mockClear()
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readConnectedProvidersCacheMock.mockReset()
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readProviderModelsCacheMock.mockReset()
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readConnectedProvidersCacheMock.mockReturnValue(null)
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readProviderModelsCacheMock.mockReturnValue(null)
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mock.module("../../../shared/logger", () => ({
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log: logMock,
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}))
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mock.module("../../../shared/connected-providers-cache", () => ({
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readConnectedProvidersCache: readConnectedProvidersCacheMock,
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readProviderModelsCache: readProviderModelsCacheMock,
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hasConnectedProvidersCache: () => readConnectedProvidersCacheMock() !== null,
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hasProviderModelsCache: () => readProviderModelsCacheMock() !== null,
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_resetMemCacheForTesting: () => {},
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}))
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;({ resolveSubagentExecution } = await importFreshSubagentResolverModule())
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})
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afterEach(() => {
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mock.restore()
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})
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test("returns delegation error when agent discovery fails instead of silently proceeding", async () => {
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//#given
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const resolverError = new Error("agents API unavailable")
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const args = createBaseArgs()
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const executorCtx = createExecutorContext(async () => {
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throw resolverError
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})
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.agentToUse).toBe("")
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expect(result.categoryModel).toBeUndefined()
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expect(result.error).toBe("Failed to delegate to agent \"oracle\": agents API unavailable")
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})
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test("returns delegation error when subagent resolution throws", async () => {
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//#given
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const args = createBaseArgs({ subagent_type: "review" })
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const executorCtx = createExecutorContext(async () => {
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throw new Error("network timeout")
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})
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.agentToUse).toBe("")
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expect(result.categoryModel).toBeUndefined()
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expect(result.error).toBe('Failed to delegate to agent "review": network timeout')
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})
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test("hides primary agents from task delegation lookups", async () => {
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//#given
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const args = createBaseArgs({ subagent_type: "sisyphus" })
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const executorCtx = createExecutorContext(async () => ([
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{ name: "sisyphus", mode: "primary" },
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{ name: "oracle", mode: "subagent" },
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{ name: "metis", mode: "all" },
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]))
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.agentToUse).toBe("")
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expect(result.categoryModel).toBeUndefined()
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expect(result.error).toBe('Unknown agent: "sisyphus". Available agents: metis, oracle')
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})
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test("requires explicit all or subagent mode for task-callable agents", async () => {
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//#given
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const args = createBaseArgs({ subagent_type: "custom-worker" })
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const executorCtx = createExecutorContext(async () => ([
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{ name: "custom-worker" },
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{ name: "oracle", mode: "subagent" },
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]))
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.agentToUse).toBe("")
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expect(result.categoryModel).toBeUndefined()
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expect(result.error).toBe('Unknown agent: "custom-worker". Available agents: oracle')
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})
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test("normalizes matched agent model string before returning categoryModel", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { openai: ["grok-3", "gpt-5.3-codex"] },
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connected: ["openai"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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const args = createBaseArgs({ subagent_type: "oracle" })
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const executorCtx = createExecutorContext(async () => ([
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{ name: "oracle", mode: "subagent", model: "openai/gpt-5.3-codex" },
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]))
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.categoryModel).toEqual({ providerID: "openai", modelID: "gpt-5.3-codex" })
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})
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test("matches agents even when zero-width characters are present in the requested name", async () => {
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//#given
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const args = createBaseArgs({ subagent_type: "\uFEFFSisyphus - Ultraworker" })
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const executorCtx = createExecutorContext(async () => ([
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{ name: "\u200BSisyphus - Ultraworker", mode: "subagent", model: "openai/gpt-5.3-codex" },
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]))
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "oracle", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.agentToUse).toBe("Sisyphus - Ultraworker")
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})
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test("uses agent override fallback_models for subagent runtime fallback chain", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { quotio: ["claude-haiku-4-5"] },
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connected: ["quotio"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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const args = createBaseArgs({ subagent_type: "explore" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "explore", mode: "subagent", model: "quotio/claude-haiku-4-5" },
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]),
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{
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agentOverrides: {
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explore: {
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fallback_models: ["quotio/gpt-5.2", "glm-5(max)"],
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},
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} as ExecutorContext["agentOverrides"],
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}
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.fallbackChain).toEqual([
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{ providers: ["quotio"], model: "gpt-5.2", variant: undefined },
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{ providers: ["quotio"], model: "glm-5", variant: "max" },
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])
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})
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test("uses category fallback_models when agent override points at category", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { anthropic: ["claude-haiku-4-5"] },
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connected: ["anthropic"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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const args = createBaseArgs({ subagent_type: "explore" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "explore", mode: "subagent", model: "quotio/claude-haiku-4-5" },
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]),
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{
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agentOverrides: {
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explore: {
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category: "research",
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},
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} as ExecutorContext["agentOverrides"],
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userCategories: {
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research: {
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fallback_models: ["anthropic/claude-haiku-4-5"],
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},
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} as ExecutorContext["userCategories"],
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}
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.fallbackChain).toEqual([
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{ providers: ["anthropic"], model: "claude-haiku-4-5", variant: undefined },
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])
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})
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test("promotes object-style fallback model settings to categoryModel when subagent fallback becomes initial model", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { openai: ["gpt-5.4"] },
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connected: ["openai"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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readConnectedProvidersCacheMock.mockReturnValue(["openai"])
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const args = createBaseArgs({ subagent_type: "explore" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "explore", mode: "subagent", model: "quotio/claude-haiku-4-5-unavailable" },
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]),
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{
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agentOverrides: {
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explore: {
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fallback_models: [
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{
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model: "openai/gpt-5.4 high",
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variant: "low",
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reasoningEffort: "high",
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temperature: 0.2,
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top_p: 0.8,
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maxTokens: 2048,
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thinking: { type: "disabled" },
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},
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],
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},
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} as ExecutorContext["agentOverrides"],
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}
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.categoryModel).toEqual({
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providerID: "openai",
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modelID: "gpt-5.4",
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variant: "low",
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reasoningEffort: "high",
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temperature: 0.2,
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top_p: 0.8,
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maxTokens: 2048,
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thinking: { type: "disabled" },
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})
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})
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test("does not apply object-style fallback settings when the subagent primary model matches directly", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { openai: ["gpt-5.4-preview"] },
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connected: ["openai"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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readConnectedProvidersCacheMock.mockReturnValue(["openai"])
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const args = createBaseArgs({ subagent_type: "explore" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "explore", mode: "subagent", model: "openai/gpt-5.4-preview" },
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]),
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{
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agentOverrides: {
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explore: {
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fallback_models: [
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{
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model: "openai/gpt-5.4",
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variant: "low",
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reasoningEffort: "high",
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},
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],
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},
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} as ExecutorContext["agentOverrides"],
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}
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.categoryModel).toEqual({
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providerID: "openai",
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modelID: "gpt-5.4-preview",
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})
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})
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test("matches promoted fallback settings after fuzzy model resolution", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { openai: ["gpt-5.4-preview"] },
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connected: ["openai"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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readConnectedProvidersCacheMock.mockReturnValue(["openai"])
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const args = createBaseArgs({ subagent_type: "explore" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "explore", mode: "subagent", model: "quotio/claude-haiku-4-5-unavailable" },
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]),
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{
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agentOverrides: {
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explore: {
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fallback_models: [
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{
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model: "openai/gpt-5.4",
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variant: "low",
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reasoningEffort: "high",
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temperature: 0.3,
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top_p: 0.4,
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maxTokens: 2222,
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thinking: { type: "disabled" },
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},
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],
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},
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} as ExecutorContext["agentOverrides"],
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}
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.categoryModel).toEqual({
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providerID: "openai",
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modelID: "gpt-5.4-preview",
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variant: "low",
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reasoningEffort: "high",
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temperature: 0.3,
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top_p: 0.4,
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maxTokens: 2222,
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thinking: { type: "disabled" },
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})
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})
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test("prefers exact promoted fallback match over earlier fuzzy prefix match", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { openai: ["gpt-5.4-preview"] },
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connected: ["openai"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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readConnectedProvidersCacheMock.mockReturnValue(["openai"])
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const args = createBaseArgs({ subagent_type: "explore" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "explore", mode: "subagent", model: "quotio/claude-haiku-4-5-unavailable" },
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]),
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{
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agentOverrides: {
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explore: {
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fallback_models: [
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{
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model: "openai/gpt-5.4",
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variant: "low",
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reasoningEffort: "medium",
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},
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{
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model: "openai/gpt-5.4-preview",
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variant: "max",
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reasoningEffort: "high",
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},
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],
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},
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} as ExecutorContext["agentOverrides"],
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}
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.categoryModel).toEqual({
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providerID: "openai",
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modelID: "gpt-5.4-preview",
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variant: "max",
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reasoningEffort: "high",
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})
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})
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test("matches promoted fallback settings when fuzzy resolution extends configured model without hyphen", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { openai: ["gpt-5.4o"] },
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connected: ["openai"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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readConnectedProvidersCacheMock.mockReturnValue(["openai"])
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const args = createBaseArgs({ subagent_type: "explore" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "explore", mode: "subagent", model: "quotio/claude-haiku-4-5-unavailable" },
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]),
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{
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agentOverrides: {
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explore: {
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fallback_models: [
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{
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model: "openai/gpt-5.4",
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variant: "low",
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reasoningEffort: "high",
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},
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],
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},
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} as ExecutorContext["agentOverrides"],
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}
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.categoryModel).toEqual({
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providerID: "openai",
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modelID: "gpt-5.4o",
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variant: "low",
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reasoningEffort: "high",
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})
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})
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test("does not use unavailable matchedAgent.model as fallback for custom subagent", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { minimaxi: ["MiniMax-M2.7"] },
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connected: ["minimaxi"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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readConnectedProvidersCacheMock.mockReturnValue(["minimaxi"])
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const args = createBaseArgs({ subagent_type: "my-custom-agent" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "my-custom-agent", mode: "subagent", model: "minimaxi/MiniMax-M2.7-highspeed" },
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]),
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
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//#then
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expect(result.error).toBeUndefined()
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expect(result.categoryModel?.modelID).not.toBe("MiniMax-M2.7-highspeed")
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})
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test("uses matchedAgent.model as fallback when model is available", async () => {
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//#given
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readProviderModelsCacheMock.mockReturnValue({
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models: { minimaxi: ["MiniMax-M2.7-highspeed"] },
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connected: ["minimaxi"],
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updatedAt: "2026-03-03T00:00:00.000Z",
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})
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readConnectedProvidersCacheMock.mockReturnValue(["minimaxi"])
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const args = createBaseArgs({ subagent_type: "my-custom-agent" })
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const executorCtx = createExecutorContext(
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async () => ([
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{ name: "my-custom-agent", mode: "subagent", model: "minimaxi/MiniMax-M2.7-highspeed" },
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]),
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)
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//#when
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const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
|
|
|
|
//#then
|
|
expect(result.error).toBeUndefined()
|
|
expect(result.categoryModel).toEqual({ providerID: "minimaxi", modelID: "MiniMax-M2.7-highspeed" })
|
|
})
|
|
|
|
test("prefers the most specific prefix match when fallback entries share a prefix", async () => {
|
|
//#given
|
|
readProviderModelsCacheMock.mockReturnValue({
|
|
models: { openai: ["gpt-4o-preview"] },
|
|
connected: ["openai"],
|
|
updatedAt: "2026-03-03T00:00:00.000Z",
|
|
})
|
|
readConnectedProvidersCacheMock.mockReturnValue(["openai"])
|
|
const args = createBaseArgs({ subagent_type: "explore" })
|
|
const executorCtx = createExecutorContext(
|
|
async () => ([
|
|
{ name: "explore", mode: "subagent", model: "quotio/claude-haiku-4-5-unavailable" },
|
|
]),
|
|
{
|
|
agentOverrides: {
|
|
explore: {
|
|
fallback_models: [
|
|
{
|
|
model: "openai/gpt-4",
|
|
variant: "low",
|
|
reasoningEffort: "medium",
|
|
},
|
|
{
|
|
model: "openai/gpt-4o",
|
|
variant: "max",
|
|
reasoningEffort: "high",
|
|
},
|
|
],
|
|
},
|
|
} as ExecutorContext["agentOverrides"],
|
|
}
|
|
)
|
|
|
|
//#when
|
|
const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
|
|
|
|
//#then
|
|
expect(result.error).toBeUndefined()
|
|
expect(result.categoryModel).toEqual({
|
|
providerID: "openai",
|
|
modelID: "gpt-4o-preview",
|
|
variant: "max",
|
|
reasoningEffort: "high",
|
|
})
|
|
})
|
|
|
|
test("preserves category temperature when fallback entry leaves temperature undefined", async () => {
|
|
//#given
|
|
readProviderModelsCacheMock.mockReturnValue({
|
|
models: { openai: ["gpt-5.4"] },
|
|
connected: ["openai"],
|
|
updatedAt: "2026-03-03T00:00:00.000Z",
|
|
})
|
|
readConnectedProvidersCacheMock.mockReturnValue(["openai"])
|
|
const args = createBaseArgs({ subagent_type: "explore" })
|
|
const executorCtx = createExecutorContext(
|
|
async () => ([
|
|
{ name: "explore", mode: "subagent", model: "quotio/claude-haiku-4-5-unavailable" },
|
|
]),
|
|
{
|
|
agentOverrides: {
|
|
explore: {
|
|
category: "research",
|
|
},
|
|
} as ExecutorContext["agentOverrides"],
|
|
userCategories: {
|
|
research: {
|
|
fallback_models: [
|
|
{
|
|
model: "openai/gpt-5.4",
|
|
variant: "max",
|
|
},
|
|
],
|
|
temperature: 0.55,
|
|
top_p: 0.45,
|
|
},
|
|
} as ExecutorContext["userCategories"],
|
|
}
|
|
)
|
|
|
|
//#when
|
|
const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
|
|
|
|
//#then
|
|
expect(result.error).toBeUndefined()
|
|
expect(result.categoryModel).toEqual({
|
|
providerID: "openai",
|
|
modelID: "gpt-5.4",
|
|
variant: "max",
|
|
temperature: 0.55,
|
|
top_p: 0.45,
|
|
})
|
|
})
|
|
|
|
test("applies category tuning params in the cold-cache override path", async () => {
|
|
//#given
|
|
readProviderModelsCacheMock.mockReturnValue({
|
|
models: {},
|
|
connected: [],
|
|
updatedAt: "2026-03-03T00:00:00.000Z",
|
|
})
|
|
readConnectedProvidersCacheMock.mockReturnValue([])
|
|
const args = createBaseArgs({ subagent_type: "explore" })
|
|
const executorCtx = createExecutorContext(
|
|
async () => ([
|
|
{ name: "explore", mode: "subagent", model: "openai/gpt-5.4" },
|
|
]),
|
|
{
|
|
agentOverrides: {
|
|
explore: {
|
|
category: "research",
|
|
},
|
|
} as ExecutorContext["agentOverrides"],
|
|
userCategories: {
|
|
research: {
|
|
model: "openai/gpt-5.4",
|
|
variant: "high",
|
|
temperature: 0.61,
|
|
top_p: 0.62,
|
|
maxTokens: 3200,
|
|
reasoningEffort: "medium",
|
|
thinking: { type: "disabled" },
|
|
},
|
|
} as ExecutorContext["userCategories"],
|
|
}
|
|
)
|
|
|
|
//#when
|
|
const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
|
|
|
|
//#then
|
|
expect(result.error).toBeUndefined()
|
|
expect(result.categoryModel).toEqual({
|
|
providerID: "openai",
|
|
modelID: "gpt-5.4",
|
|
variant: "high",
|
|
temperature: 0.61,
|
|
top_p: 0.62,
|
|
maxTokens: 3200,
|
|
reasoningEffort: "medium",
|
|
thinking: { type: "disabled" },
|
|
})
|
|
})
|
|
})
|
|
|
|
describe("resolveSubagentExecution - agent name sanitization", () => {
|
|
let resolveSubagentExecution: SubagentResolverModule["resolveSubagentExecution"]
|
|
|
|
beforeEach(async () => {
|
|
mock.restore()
|
|
logMock.mockClear()
|
|
readConnectedProvidersCacheMock.mockReset()
|
|
readProviderModelsCacheMock.mockReset()
|
|
readConnectedProvidersCacheMock.mockReturnValue(null)
|
|
readProviderModelsCacheMock.mockReturnValue(null)
|
|
mock.module("../../../shared/logger", () => ({
|
|
log: logMock,
|
|
}))
|
|
mock.module("../../../shared/connected-providers-cache", () => ({
|
|
readConnectedProvidersCache: readConnectedProvidersCacheMock,
|
|
readProviderModelsCache: readProviderModelsCacheMock,
|
|
hasConnectedProvidersCache: () => readConnectedProvidersCacheMock() !== null,
|
|
hasProviderModelsCache: () => readProviderModelsCacheMock() !== null,
|
|
_resetMemCacheForTesting: () => {},
|
|
}))
|
|
;({ resolveSubagentExecution } = await importFreshSubagentResolverModule())
|
|
})
|
|
|
|
afterEach(() => {
|
|
mock.restore()
|
|
})
|
|
|
|
test("strips backslash-wrapped agent names like \\hephaestus\\", async () => {
|
|
//#given
|
|
readProviderModelsCacheMock.mockReturnValue({
|
|
models: {},
|
|
connected: [],
|
|
updatedAt: "2026-03-03T00:00:00.000Z",
|
|
})
|
|
const args = createBaseArgs({ subagent_type: "\\hephaestus\\" })
|
|
const executorCtx = createExecutorContext(async () => ([
|
|
{ name: "Hephaestus - Deep Agent", mode: "subagent", model: "openai/gpt-5.3-codex" },
|
|
]))
|
|
|
|
//#when
|
|
const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
|
|
|
|
//#then
|
|
expect(result.error).toBeUndefined()
|
|
expect(result.agentToUse).toBe("Hephaestus - Deep Agent")
|
|
})
|
|
|
|
test("strips double-quoted agent names", async () => {
|
|
//#given
|
|
readProviderModelsCacheMock.mockReturnValue({
|
|
models: {},
|
|
connected: [],
|
|
updatedAt: "2026-03-03T00:00:00.000Z",
|
|
})
|
|
const args = createBaseArgs({ subagent_type: '"oracle"' })
|
|
const executorCtx = createExecutorContext(async () => ([
|
|
{ name: "oracle", mode: "subagent" },
|
|
]))
|
|
|
|
//#when
|
|
const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
|
|
|
|
//#then
|
|
expect(result.error).toBeUndefined()
|
|
expect(result.agentToUse).toBe("oracle")
|
|
})
|
|
|
|
test("strips single-quoted agent names", async () => {
|
|
//#given
|
|
readProviderModelsCacheMock.mockReturnValue({
|
|
models: {},
|
|
connected: [],
|
|
updatedAt: "2026-03-03T00:00:00.000Z",
|
|
})
|
|
const args = createBaseArgs({ subagent_type: "'explore'" })
|
|
const executorCtx = createExecutorContext(async () => ([
|
|
{ name: "explore", mode: "subagent" },
|
|
]))
|
|
|
|
//#when
|
|
const result = await resolveSubagentExecution(args, executorCtx, "sisyphus", "deep")
|
|
|
|
//#then
|
|
expect(result.error).toBeUndefined()
|
|
expect(result.agentToUse).toBe("explore")
|
|
})
|
|
|
|
test("matches runtime agent names that include invisible sort prefixes", async () => {
|
|
//#given
|
|
readProviderModelsCacheMock.mockReturnValue({
|
|
models: {},
|
|
connected: [],
|
|
updatedAt: "2026-03-03T00:00:00.000Z",
|
|
})
|
|
const args = createBaseArgs({ subagent_type: "Sisyphus - Ultraworker" })
|
|
const executorCtx = createExecutorContext(async () => ([
|
|
{ name: "\u200BSisyphus - Ultraworker", mode: "subagent", model: "openai/gpt-5.3-codex" },
|
|
]))
|
|
|
|
//#when
|
|
const result = await resolveSubagentExecution(args, executorCtx, "oracle", "deep")
|
|
|
|
//#then
|
|
expect(result.error).toBeUndefined()
|
|
expect(result.agentToUse).toBe("Sisyphus - Ultraworker")
|
|
})
|
|
})
|