Files
deepseek-harness/examples/acp-agent/tests/llm-replay.spec.ts
Tianyi Cui 1a1ce734ba feat(acp-example): add record/replay llm/stream plugin for snapshot tests
Introduces examples/acp-agent/src/llm-replay.ts, a function/namespace plugin
that installs a single llm/stream waterfall listener. In record mode it tees
the real model's StreamChunks into a per-scenario llm.json (flushed atomically
after EACH stream, since the snapshot subprocess is SIGKILLed and start.ts has
no disposal path). In replay mode it short-circuits the waterfall and serves
recorded streams back positionally — the Nth stream() call gets the Nth entry —
so a snapshot test can drive the real agent with no API key.

Each fixture entry is a discriminated record {chunks|throw|hang} so it can
replay BOTH branches of the LLM failure contract (throw from stream() vs a
finish-error chunk) plus cancellation. A throw entry carries the prefix chunks
emitted before the throw, replayed before the error, so a mid-stream failure
(partial output then STREAM_CLOSED) reproduces what the loop saw live.

Fail-loud on a missing or exhausted fixture (never a silent skip). Unit tests
drive the real LlmService waterfall (record tee, ordered replay, the three
entry kinds, partial-then-throw, fail-loud, event-driven abort, HMR-safety).
Broadens the unit vitest include to examples/*/tests and registers the plugin
+ snapshot tests as knip entries. Per docs/rfc/implemented/2026-06-19.
2026-06-19 01:10:30 +08:00

263 lines
10 KiB
TypeScript

import { mkdtempSync, rmSync, writeFileSync } from 'node:fs'
import { tmpdir } from 'node:os'
import { join } from 'node:path'
import { afterEach, beforeEach, describe, expect, it } from 'vitest'
import { Context } from 'cordis'
import LlmService, { GenerateOptions, LlmAdapter, LlmError, StreamChunk } from '@deepseek-ai/dsh-llm'
import { type ReplayEntry, installLlmReplay, loadFixture } from '../src/llm-replay.ts'
/**
* Unit tests for the record/replay llm/stream plugin. These drive the listener
* through the REAL LlmService waterfall (not a hand-rolled stub) so they verify
* the actual seam the snapshot harness depends on.
*/
const TEXT_SCRIPT: StreamChunk[] = [
{ type: 'block-start', index: 0, blockType: 'text' },
{ type: 'text-delta', index: 0, text: 'hi' },
{ type: 'block-end', index: 0, block: { type: 'text', text: 'hi' } },
{ type: 'usage', usage: { inputTokens: 1, outputTokens: 1 } },
{ type: 'finish', reason: { kind: 'stop' } },
]
/** A scripted adapter whose every call yields one of a list of scripts. */
class MultiScriptAdapter extends LlmAdapter {
calls = 0
constructor(private scripts: (StreamChunk[] | (() => never))[]) {
super()
}
async * stream(_options: GenerateOptions): AsyncIterable<StreamChunk> {
const script = this.scripts[this.calls++]
if (script === undefined) throw new Error('MultiScriptAdapter: script exhausted')
if (typeof script === 'function') return script() // throws (returns never)
yield* script
}
}
let dir: string
let file: string
beforeEach(() => {
dir = mkdtempSync(join(tmpdir(), 'llm-replay-spec-'))
file = join(dir, 'llm.json')
})
afterEach(() => {
rmSync(dir, { recursive: true, force: true })
})
async function drain(iter: AsyncIterable<StreamChunk>): Promise<StreamChunk[]> {
const out: StreamChunk[] = []
for await (const chunk of iter) out.push(chunk)
return out
}
describe('llm-replay record mode', () => {
it('tees the real stream unchanged and flushes one chunks-entry per call', async () => {
const ctx = new Context()
await ctx.plugin(LlmService)
ctx.llm.registerAdapter(['m'], new MultiScriptAdapter([TEXT_SCRIPT]))
installLlmReplay(ctx, { mode: 'record', file })
const seen = await drain(ctx.llm.stream({ model: 'm', messages: [] }))
expect(seen).toEqual(TEXT_SCRIPT) // consumer sees the real chunks unchanged
const fixture = loadFixture(file)
expect(fixture).toEqual([{ kind: 'chunks', chunks: TEXT_SCRIPT }])
})
it('flushes after EACH stream (durable without dispose)', async () => {
const ctx = new Context()
await ctx.plugin(LlmService)
ctx.llm.registerAdapter(['m'], new MultiScriptAdapter([TEXT_SCRIPT, TEXT_SCRIPT]))
installLlmReplay(ctx, { mode: 'record', file })
await drain(ctx.llm.stream({ model: 'm', messages: [] }))
expect(loadFixture(file)).toHaveLength(1) // already on disk, no dispose needed
await drain(ctx.llm.stream({ model: 'm', messages: [] }))
expect(loadFixture(file)).toHaveLength(2)
})
it('records a throw-entry then re-throws when the adapter throws', async () => {
const ctx = new Context()
await ctx.plugin(LlmService)
ctx.llm.registerAdapter(['m'], new MultiScriptAdapter([() => { throw new Error('boom') }]))
installLlmReplay(ctx, { mode: 'record', file })
await expect(drain(ctx.llm.stream({ model: 'm', messages: [] }))).rejects.toThrow('boom')
expect(loadFixture(file)).toEqual([{ kind: 'throw', chunks: [], message: 'boom', code: 'UNKNOWN' }])
})
it('records the partial chunks emitted before a mid-stream throw', async () => {
const partial: StreamChunk[] = [
{ type: 'block-start', index: 0, blockType: 'text' },
{ type: 'text-delta', index: 0, text: 'par' },
]
function* chunkThenThrow(): Generator<StreamChunk> {
yield* partial
throw new LlmError('connection dropped', 'STREAM_CLOSED')
}
// An adapter that streams two chunks, then throws mid-stream.
class MidStreamThrowAdapter extends LlmAdapter {
async * stream(_options: GenerateOptions): AsyncIterable<StreamChunk> {
yield* chunkThenThrow()
}
}
const ctx = new Context()
await ctx.plugin(LlmService)
ctx.llm.registerAdapter(['m'], new MidStreamThrowAdapter())
installLlmReplay(ctx, { mode: 'record', file })
const seen: StreamChunk[] = []
await expect((async () => {
for await (const c of ctx.llm.stream({ model: 'm', messages: [] })) seen.push(c)
})()).rejects.toThrow('connection dropped')
expect(seen).toEqual(partial) // consumer saw the partial output before the throw
expect(loadFixture(file)).toEqual([
{ kind: 'throw', chunks: partial, message: 'connection dropped', code: 'STREAM_CLOSED' },
])
})
})
describe('llm-replay replay mode', () => {
function writeFixture(entries: ReplayEntry[]): void {
writeFileSync(file, JSON.stringify(entries), 'utf8')
}
it('serves recorded chunks back in order, short-circuiting the adapter', async () => {
writeFixture([{ kind: 'chunks', chunks: TEXT_SCRIPT }])
const ctx = new Context()
await ctx.plugin(LlmService)
// No adapter registered for 'm' — replay must not reach it.
installLlmReplay(ctx, { mode: 'replay', file })
const seen = await drain(ctx.llm.stream({ model: 'm', messages: [] }))
expect(seen).toEqual(TEXT_SCRIPT)
})
it('serves the Nth call the Nth entry (positional)', async () => {
const second: StreamChunk[] = [
{ type: 'block-start', index: 0, blockType: 'text' },
{ type: 'text-delta', index: 0, text: 'two' },
{ type: 'finish', reason: { kind: 'stop' } },
]
writeFixture([{ kind: 'chunks', chunks: TEXT_SCRIPT }, { kind: 'chunks', chunks: second }])
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { mode: 'replay', file })
expect(await drain(ctx.llm.stream({ model: 'm', messages: [] }))).toEqual(TEXT_SCRIPT)
expect(await drain(ctx.llm.stream({ model: 'm', messages: [] }))).toEqual(second)
})
it('replays a throw-entry as an LlmError with the recorded code/status', async () => {
writeFixture([{ kind: 'throw', chunks: [], message: 'unauthorized', code: 'AUTH', status: 401 }])
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { mode: 'replay', file })
await expect(drain(ctx.llm.stream({ model: 'm', messages: [] }))).rejects.toMatchObject({
message: 'unauthorized',
code: 'AUTH',
status: 401,
})
})
it('replays a throw-entry preceded by its partial chunks', async () => {
const partial: StreamChunk[] = [
{ type: 'block-start', index: 0, blockType: 'text' },
{ type: 'text-delta', index: 0, text: 'par' },
]
writeFixture([{ kind: 'throw', chunks: partial, message: 'dropped', code: 'STREAM_CLOSED' }])
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { mode: 'replay', file })
const seen: StreamChunk[] = []
await expect((async () => {
for await (const c of ctx.llm.stream({ model: 'm', messages: [] })) seen.push(c)
})()).rejects.toThrow('dropped')
expect(seen).toEqual(partial) // partial output replayed before the throw
})
it('replays a hang-entry that surfaces abort when the signal fires', async () => {
writeFixture([{ kind: 'hang' }])
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { mode: 'replay', file })
const controller = new AbortController()
const iterator = ctx.llm.stream({ model: 'm', messages: [], signal: controller.signal })[Symbol.asyncIterator]()
// Deterministically consume the two pre-hang chunks (no sleep), then abort
// and assert the next pull rejects — event-driven, per the no-sleeps rule.
expect((await iterator.next()).value).toMatchObject({ type: 'block-start' })
expect((await iterator.next()).value).toMatchObject({ type: 'text-delta' })
controller.abort()
await expect(iterator.next()).rejects.toThrow('aborted')
})
it('fails loud when the fixture is missing', () => {
const ctx = new Context()
expect(() => installLlmReplay(ctx, { mode: 'replay', file: join(dir, 'absent.json') }))
.toThrow(/fixture not found/)
})
it('fails loud when the fixture is exhausted', async () => {
writeFixture([{ kind: 'chunks', chunks: TEXT_SCRIPT }])
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { mode: 'replay', file })
await drain(ctx.llm.stream({ model: 'm', messages: [] }))
await expect(drain(ctx.llm.stream({ model: 'm', messages: [] }))).rejects.toThrow(/exhausted/)
})
it('aborts mid-replay when the signal is already set', async () => {
writeFixture([{ kind: 'chunks', chunks: TEXT_SCRIPT }])
const ctx = new Context()
await ctx.plugin(LlmService)
installLlmReplay(ctx, { mode: 'replay', file })
const controller = new AbortController()
controller.abort()
await expect(drain(ctx.llm.stream({ model: 'm', messages: [], signal: controller.signal })))
.rejects.toThrow('aborted')
})
})
describe('llm-replay HMR safety', () => {
it('removes the waterfall listener when the owning fiber is disposed', async () => {
writeFileSync(file, JSON.stringify([{ kind: 'chunks', chunks: TEXT_SCRIPT }]), 'utf8')
const ctx = new Context()
await ctx.plugin(LlmService)
ctx.llm.registerAdapter(['m'], new MultiScriptAdapter([TEXT_SCRIPT, TEXT_SCRIPT]))
const fiber = await ctx.plugin(Object.assign((inner: Context) => {
installLlmReplay(inner, { mode: 'replay', file })
}, { inject: ['llm'] }))
// While installed, replay short-circuits to the fixture ('hi').
expect(await drain(ctx.llm.stream({ model: 'm', messages: [] }))).toEqual(TEXT_SCRIPT)
await fiber.dispose()
// After dispose, the listener is gone and the call reaches the real adapter
// (also TEXT_SCRIPT here) — proving the waterfall no longer intercepts.
const afterDispose = await drain(ctx.llm.stream({ model: 'm', messages: [] }))
expect(afterDispose).toEqual(TEXT_SCRIPT)
})
})
describe('loadFixture', () => {
it('throws on a non-array JSON fixture', () => {
writeFileSync(file, '{"not":"an array"}', 'utf8')
expect(() => loadFixture(file)).toThrow(/not a JSON array/)
})
it('reads back what was written', () => {
const entries: ReplayEntry[] = [{ kind: 'chunks', chunks: TEXT_SCRIPT }]
writeFileSync(file, JSON.stringify(entries), 'utf8')
expect(loadFixture(file)).toEqual(entries)
})
})