Files
deepseek-harness/packages/core/agent-loop/tests/request-cache.e2e.ts
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Yichen Jiang 815365dbbe Merge remote-tracking branch 'origin/master' into worktree/provider-routed-llm-adapters
# Conflicts:
#	docs/config-catalog.md
#	docs/cordis-catalog/events.md
#	docs/cordis-catalog/services.md
#	docs/core-data-structures/core.md
#	docs/event-producer-consumer.md
#	docs/persistence-catalog.md
#	examples/acp-agent/tests/snapshots/advanced-toolchain/session.1.jsonl
#	examples/acp-agent/tests/snapshots/advanced-toolchain/session.2.jsonl
#	examples/acp-agent/tests/snapshots/advanced-toolchain/session.jsonl
#	examples/acp-agent/tests/snapshots/both-mode-turn/session.jsonl
#	examples/acp-agent/tests/snapshots/hook-cc-pretool-ask/session.jsonl
#	examples/acp-agent/tests/snapshots/skill-load/session.jsonl
#	examples/acp-agent/tests/snapshots/text-turn/session.jsonl
#	examples/sandbox-acp-agent/cordis.yml
#	examples/sandbox-acp-agent/tests/snapshots/escalation-approved/session.jsonl
#	examples/sandbox-acp-agent/tests/snapshots/escalation-rejected/session.jsonl
#	examples/sandbox-acp-agent/tests/snapshots/mode-switching/session.jsonl
#	packages/compact/compact-basic/README.md
#	packages/compact/compact-basic/src/index.ts
#	packages/compact/compact-basic/tests/compact-basic.spec.ts
#	packages/core/agent-loop/README.md
#	packages/core/agent-loop/src/loop.ts
#	packages/core/agent-loop/tests/properties.spec.ts
#	packages/core/session/README.md
#	packages/core/session/src/types.ts
#	packages/core/session/tests/derived-cache.spec.ts
#	packages/llm/llm-deepseek/src/index.ts
#	packages/llm/llm-pi-ai/README.md
#	packages/llm/llm-pi-ai/src/adapter.ts
#	packages/llm/llm-pi-ai/src/convert.ts
#	packages/llm/llm-pi-ai/tests/adapter.spec.ts
#	packages/llm/llm/README.md
#	packages/llm/llm/src/call-config.ts
#	packages/llm/llm/src/index.ts
#	packages/ui/acp-agent/src/index.ts
#	packages/ui/acp/tests/harness.ts
#	packages/ui/jsonrpc/README.md
#	packages/ui/jsonrpc/src/server.ts
#	packages/ui/stdio-agent/README.md
#	packages/ui/stdio-agent/src/index.ts
#	python/sdk/README.i18n.yaml
2026-07-14 22:17:50 +08:00

103 lines
4.6 KiB
TypeScript

import { afterEach, describe, expect, it } from 'vitest'
import { Context } from 'cordis'
import LlmService from '@deepseek-ai/dsh-llm'
import SessionStore from '@deepseek-ai/dsh-session'
import SystemPrompt from '@deepseek-ai/dsh-system-prompt'
import ToolRegistry, { defineTool } from '@deepseek-ai/dsh-tools'
import AgentRegistry, { AgentId, type Agent } from '@deepseek-ai/dsh-agent'
import AgentLoop from '@deepseek-ai/dsh-agent-loop'
import * as LlmDeepSeek from '@deepseek-ai/dsh-llm-deepseek'
/**
* With-key proof that log-derived requests translate into real provider cache hits: a
* multi-step tool turn (plus a follow-up turn) against the live DeepSeek API must report
* `cacheReadTokens > 0` on every request after the first — the adapter maps the provider's
* `prompt_cache_hit_tokens`, and the per-step usage recorded on `assistant/message` events is
* the production observable for cache behavior (the reconstructability RFC's measurement
* layer: prefix stability is corollary #1). Mocks establish append-extension;
* this key-gated test establishes a real provider cache hit.
*/
// Long enough that the shared request prefix comfortably spans the provider's
// cache-block granularity (64 tokens) from the very first request.
const SYSTEM = 'You are a terse coding assistant used in an automated cache test. '
+ 'Always follow instructions literally and exactly. When the user asks you to look '
+ 'something up, call the lookup tool with the requested key and wait for its result '
+ 'before answering. Never invent a value the tool has not returned. After the tool '
+ 'returns, answer with a single short sentence that repeats the returned value '
+ 'verbatim. Do not add explanations, do not use markdown, do not ask follow-up '
+ 'questions. If the user asks anything else, answer in one short sentence.'
let ctx: Context | undefined
afterEach(async () => {
await ctx?.fiber.dispose()
ctx = undefined
})
async function loopHarness(): Promise<Context> {
const created = new Context()
await created.plugin(LlmService)
await created.plugin(SessionStore)
await created.plugin(SystemPrompt, { persona: SYSTEM })
await created.plugin(ToolRegistry)
await created.plugin(AgentRegistry)
await created.plugin(AgentLoop, { agents: [] })
await created.plugin(LlmDeepSeek)
created.tools.register(defineTool({
name: 'lookup',
description: 'Look up the stored value for a key.',
parameters: { key: { type: 'string', description: 'The key to look up.' } },
async execute(args) {
return [{ type: 'text', text: `value(${String(args.key)}) = azure-falcon-42` }]
},
}))
return created
}
function waitForIdle(context: Context, agent: Agent): Promise<void> {
return new Promise((resolve) => {
const dispose = context.on('agent/status', (subject, status) => {
if (subject === agent && status === 'idle') {
dispose()
resolve()
}
})
})
}
describe.skipIf(!process.env.DEEPSEEK_API_KEY)('log-derived request cache hits (real API)', () => {
it('every request after the first hits the provider prefix cache', async () => {
ctx = await loopHarness()
const agent = ctx.agentLoop.create(AgentId('cache-e2e'), { provider: 'deepseek', model: 'deepseek-v4-flash' })
// Turn 1: forces a tool call → at least two steps (two model requests).
agent.send([{ type: 'text', text: 'Look up the key "deploy-color" with the lookup tool and tell me the value.' }])
await waitForIdle(ctx, agent)
// Turn 2: a follow-up over the same (longer) prefix.
agent.send([{ type: 'text', text: 'Thanks. Repeat that value one more time.' }])
await waitForIdle(ctx, agent)
const usages = [...agent.session.events]
.filter(e => e.type === 'assistant/message')
.map(e => e.data.usage)
expect(usages.length).toBeGreaterThanOrEqual(3) // 2 steps in turn 1 + ≥1 in turn 2
for (const usage of usages) expect(usage).toBeDefined()
// The first request has nothing to hit; every later one shares its
// predecessor as a byte-identical prefix, so the provider must report
// cached prompt tokens (prompt_cache_hit_tokens → cacheReadTokens).
for (const usage of usages.slice(1)) {
expect(usage!.cacheReadTokens ?? 0).toBeGreaterThan(0)
}
// World-verification of the conversation itself: the tool value made it
// through the loop into the final answer.
const finalText = agent.session.deriveMessages().at(-1)!.content
.filter(block => block.type === 'text')
.map(block => block.text)
.join('')
expect(finalText).toContain('azure-falcon-42')
}, 180_000)
})