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deepseek-harness/examples/coding-agent/tests/compaction.e2e.ts
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TypeScript

import { mkdtemp, rm, writeFile } from 'node:fs/promises'
import { tmpdir } from 'node:os'
import { join } from 'node:path'
import { afterEach, describe, expect, it } from 'vitest'
import type { Context } from 'cordis'
import { AgentId } from '@deepseek-ai/dsh-agent'
import { codingHarness, finalText, SYSTEM_PROMPT, waitForIdle } from './harness.ts'
/**
* Key-gated smoke for mid-session compaction. It verifies the compact event
* pair, replacement of older surface nodes, and a final answer after compaction.
*/
// FIXME(compaction-snapshot): this is the only full compaction coverage because
// replay cannot serve the summarizer's unlogged model call.
let workdir: string | undefined
let ctx: Context | undefined
afterEach(async () => {
await ctx?.fiber.dispose()
ctx = undefined
if (workdir !== undefined) await rm(workdir, { recursive: true, force: true })
workdir = undefined
})
describe.skipIf(!process.env.DEEPSEEK_API_KEY)('compaction: a long session compacts mid-flight and keeps running', () => {
it('summarizes older history into a checkpoint without breaking the task', async () => {
workdir = await mkdtemp(join(tmpdir(), 'dsh-compaction-'))
for (let i = 1; i <= 4; i++) {
await writeFile(join(workdir, `file${i}.txt`), `This is file number ${i}. `.repeat(50))
}
// Reasoning tokens require a larger generation cap than the retained checkpoint.
ctx = await codingHarness(workdir, {
persona: SYSTEM_PROMPT,
tokenMeter: {
models: {
'deepseek-v4-flash': { contextWindow: 2000 },
},
},
compact: {
models: {
'deepseek-v4-flash': { thresholdRatio: 0.5, retainTokens: 400 },
},
summarizationModel: '',
maxTokens: 1024,
compactionRetries: 1,
},
persistenceRoot: join(workdir, '.sessions'),
})
const agent = ctx.agentLoop.create(AgentId('e2e-compaction'), { model: 'deepseek-v4-flash' })
agent.send([{
type: 'text',
text: 'Read file1.txt, file2.txt, file3.txt, and file4.txt one at a '
+ 'time using cat (a separate bash command for each). After reading all four, tell me how '
+ 'many files you read and the number mentioned in file1.txt.',
}])
await waitForIdle(ctx, agent)
const events = [...agent.session.events]
// A compaction ran: the start…end bracket landed in the real log.
const starts = events.filter(e => e.type === 'compact/start')
const ends = events.filter(e => e.type === 'compact/end')
expect(starts.length).toBeGreaterThan(0)
expect(ends.length).toBe(starts.length) // every start was released
// It succeeded at least once: a compact/summary provenance event and a
// replace-op user/message (the surface mutation) both landed.
const summaries = events.filter(e => e.type === 'compact/summary')
expect(summaries.length).toBeGreaterThan(0)
const replaceNode = events.find((e) => {
const se = e as unknown as { type: string; surfaceOp?: unknown }
return se.type === 'user/message' && typeof se.surfaceOp === 'object' && se.surfaceOp !== null
})
expect(replaceNode).toBeDefined()
// The summary shadowed real older nodes (the surface shrank vs. the raw
// message-producing event count).
const summaryData = summaries[0]!.data as { shadowedSeqs: number[] }
expect(summaryData.shadowedSeqs.length).toBeGreaterThan(0)
// The conversation survived compaction: the agent produced a final answer
// that reflects the work (it read four files).
const answer = finalText(events).toLowerCase()
expect(answer.length).toBeGreaterThan(0)
expect(answer).toMatch(/\b(4|four)\b/)
}, 240_000)
})