Files
deepseek-harness/packages/core/agent/tests/model-selection.spec.ts
imccyu ec601ca13d build(vendor): rescope the vendored Cordis packages into @deepseek-ai
Machine-produced by `pnpm run rescope-vendor --apply` plus the regeneration it
prints: `pnpm install` for the lockfile, `pnpm run gen-third-party-notices`,
`verify-translation-pairing --write` for the touched bilingual pairs,
`gen-doc-graphs`, and one typert snapshot whose ids embed character offsets.
`pnpm run rescope-vendor --check` verifies the result.

Renames nine vendored packages (cordis, cosmokit, schemastery and the six
@cordisjs plugins) and every reference that resolves them: manifest names and
dependency keys, module specifiers including declare-module merges, cordis.yml
plugin names, tsconfig paths, every Markdown fence, and `docs/` prose.
Directory names, upstream versions, and dependency ranges are unchanged, so
vendor/README.md still reads as an upstream snapshot; its manifest table gains
an upstream-name column so THIRD_PARTY_NOTICES keeps MIT attribution pointed
at each fork's origin.

The tutorial tier follows the rename end to end: its yaml fences named plugins
the Loader can no longer resolve, its `ts ignore-check` fences disagreed with
the compiled fences beside them, and its prose quoted both. The contracts that
told readers to keep upstream names — the root convention and the vendoring
cookbook's tree comment and manifest invariant — now say to rescope instead.

Two rules read `@deepseek-ai/` as "another workspace plugin": the client bundle
purity gate now names the vendored libraries a browser bundle inlines, and the
files where a bare `cordis` is an agent-preset id keep that product data.
2026-08-10 22:04:13 +08:00

62 lines
2.4 KiB
TypeScript

import { describe, expect, it } from 'vitest'
import { Context } from '@deepseek-ai/cordis'
import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
import {
agentEvents,
installModelSelection,
type Agent,
type ModelSelectionRef,
} from '../src/index.ts'
import { ReasoningEffortId, type LlmCallConfig } from '@deepseek-ai/dsh-llm'
describe('installModelSelection()', () => {
it('snapshots prompt variables and request routing together, then disposes both listeners', async () => {
const ctx = new Context()
await ctx.plugin(SystemPrompt)
const selection: ModelSelectionRef = { current: undefined, assembled: undefined }
const dispose = installModelSelection(ctx, selection)
const agent = {} as Agent
const seed: LlmCallConfig = { provider: 'seed', model: 'seed', temperature: 0.2 }
const signal = new AbortController().signal
expect((await ctx.systemPrompt.assemble()).variables).toEqual({})
await expect(agentEvents(ctx, agent).waterfall(
'agent/request', { turn: 1, step: 0, signal }, () => Promise.resolve(seed),
)).resolves.toBe(seed)
selection.current = {
provider: 'alpha',
model: 'a1',
reasoningEffort: ReasoningEffortId('high'),
}
expect((await ctx.systemPrompt.assemble()).variables).toMatchObject({ provider: 'alpha', model: 'a1' })
selection.current = { provider: 'beta', model: 'b1' }
await expect(agentEvents(ctx, agent).waterfall(
'agent/request', { turn: 1, step: 0, signal }, () => Promise.resolve(seed),
)).resolves.toEqual({
provider: 'alpha',
model: 'a1',
reasoningEffort: ReasoningEffortId('high'),
temperature: 0.2,
})
expect((await ctx.systemPrompt.assemble()).variables).toMatchObject({ provider: 'beta', model: 'b1' })
const inherited: LlmCallConfig = {
provider: 'alpha',
model: 'a1',
reasoningEffort: ReasoningEffortId('max'),
temperature: 0.2,
}
await expect(agentEvents(ctx, agent).waterfall(
'agent/request', { turn: 1, step: 1, signal }, () => Promise.resolve(inherited),
)).resolves.toEqual({ provider: 'beta', model: 'b1', temperature: 0.2 })
dispose()
expect((await ctx.systemPrompt.assemble()).variables).toEqual({})
await expect(agentEvents(ctx, agent).waterfall(
'agent/request', { turn: 2, step: 0, signal }, () => Promise.resolve(seed),
)).resolves.toBe(seed)
await ctx.fiber.dispose()
})
})