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import { Context } from '@deepseek-ai/cordis'
import { AttachmentId } from '@deepseek-ai/dsh-attachment'
import BasicCompactionEngine from '@deepseek-ai/dsh-compaction-basic'
import type { BasicCompactionConfig } from '@deepseek-ai/dsh-compaction-basic'
import { selectCompactableRange } from '@deepseek-ai/dsh-compaction-basic/src/region.ts'
import { frameSummary } from '@deepseek-ai/dsh-compaction-basic/src/summarizer.ts'
import type { SummarizationInput, SummaryResult } from '@deepseek-ai/dsh-compaction-basic/src/summarizer.ts'
import { CompactionId, toolPairingBalancedAfter, toolPairingBalancedBefore } from '@deepseek-ai/dsh-compaction'
import {
resolveCompactSpec,
resolveConfig,
resolveTargetPolicy,
} from '@deepseek-ai/dsh-compaction-basic/src/config.ts'
import type { CompactionResult } from '@deepseek-ai/dsh-compaction'
import LlmRuntime, { createUserMessage, ToolCallId, CONTEXT_WINDOW_EXCEEDED_CODE, createSystemMessage, createToolResultMessage, LlmAdapter , createMessage } from '@deepseek-ai/dsh-llm'
import type {
ContentBlock,
GenerateOptions,
LlmFailure,
LlmResolvedModelInfo,
Message,
StreamChunk,
TokenUsage,
} from '@deepseek-ai/dsh-llm'
import SessionStore, { Session, SessionId, SessionSeq } from '@deepseek-ai/dsh-session'
import SessionProjectionRegistry from '@deepseek-ai/dsh-session-projection'
import TokenMeter from '@deepseek-ai/dsh-token-meter'
import { agentEvents, type Agent, type RequestErrorAction } from '@deepseek-ai/dsh-agent'
import ToolResultPruner from '@deepseek-ai/dsh-compaction-tool-result-pruner'
const SIGNAL = new AbortController().signal
const MODEL = 'test-model'
class ContextAdapter extends LlmAdapter {
constructor(private readonly contextWindow: number) {
super()
}
override resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
return Promise.resolve({
provider,
id: model,
name: model,
context: { contextWindow: this.contextWindow },
})
}
override async * stream(): AsyncIterable<StreamChunk> {
yield { type: 'finish', reason: { kind: 'stop' } }
}
}
class RoutedContextAdapter extends LlmAdapter {
constructor(private readonly windows: Readonly<Record<string, number>>) {
super()
}
override resolveModel(provider: string, model: string): Promise<LlmResolvedModelInfo> {
const contextWindow = this.windows[provider]
return Promise.resolve({
provider,
id: model,
name: model,
...contextWindow === undefined ? {} : { context: { contextWindow } },
})
}
override async * stream(): AsyncIterable<StreamChunk> {
yield { type: 'finish', reason: { kind: 'stop' } }
}
}
function createContext(contextWindow = 1_000): Context {
const ctx = new Context()
void new LlmRuntime(ctx)
// The registry is a required injection of TokenMeter (its three
// projection units register in the constructor); mount it synchronously.
new SessionProjectionRegistry(ctx)
void new TokenMeter(ctx)
ctx.llm.registerAdapter([MODEL, 'actual', 'unlisted-provider'], new ContextAdapter(contextWindow))
return ctx
}
function agent(session: Session, model?: string): Agent {
return {
session,
options: model === undefined ? {} : { provider: model, model },
} as Agent
}
/** Flatten every text fragment the summarizer received, recursing tool-result blocks. */
function summarizedText(input: SummarizationInput): string {
const collect = (blocks: readonly ContentBlock[]): string =>
blocks.map(block =>
block.type === 'text' ? block.text
: block.type === 'tool-result' ? collect(block.content)
: '').join('\n')
return input.messages.map(message => collect(message.content)).join('\n')
}
/** A minimal replayed prefix carrying one user message of the given text. */
function promptInput(text: string): SummarizationInput {
return { messages: [createUserMessage({
content: [{ type: 'text', text }],
source: { kind: 'plugin', plugin: 'test' },
})] }
}
const SYSTEM_PROMPT_PLUGIN = '@deepseek-ai/dsh-system-prompt'
/**
* Closed two-message turns followed by one open turn for durable compaction events.
* A `system` text puts a `system/message` at surface node 0 before turn 1's user message.
*/
function conversation(turns = 4, text = 'fixture '.repeat(40).trim(), system?: string): Session {
const session = Session.create(SessionId(`conversation-${turns}`))
for (let turn = 1; turn <= turns; turn += 1) {
session.append('turn/start', { turn })
if (turn === 1 && system !== undefined) {
session.append('system/message', {
turn,
step: 1,
message: createSystemMessage(system, SYSTEM_PROMPT_PLUGIN),
}, { surfaceOp: 'append' })
}
session.append('user/message', createUserMessage({
content: [{ type: 'text', text: `${text} user ${turn}` }],
source: { kind: 'user' },
}), { surfaceOp: 'append' })
session.append('step/start', { turn, step: 1 })
if (turn === 1) {
session.append('request/header', {
header: { config: { provider: MODEL, model: MODEL } },
reason: 'initial',
})
}
session.append('assistant/message', {
stream: [],
turn,
step: 1,
message: createMessage({
role: 'assistant',
content: [{ type: 'text', text: `${text} assistant ${turn}` }],
source: {
kind: 'model',
...{ provider: MODEL, model: MODEL },
},
}),
}, { surfaceOp: 'append' })
session.append('step/end', { turn, step: 1 })
session.append('turn/end', { turn, reason: { kind: 'completed' } })
}
session.append('turn/start', {
turn: turns + 1,
})
return session
}
function toolConversation(): Session {
const session = Session.create(SessionId('tools'))
for (let turn = 1; turn <= 3; turn += 1) {
const callId = ToolCallId(`call-${turn}`)
session.append('turn/start', { turn })
session.append('user/message', createUserMessage({
content: [{ type: 'text', text: `request ${turn} `.repeat(300) }],
source: { kind: 'user' },
}), { surfaceOp: 'append' })
session.append('step/start', { turn, step: 1 })
if (turn === 1) {
session.append('request/header', {
header: { config: { provider: MODEL, model: MODEL } },
reason: 'initial',
})
}
session.append('assistant/message', {
stream: [],
turn,
step: 1,
message: createMessage({
role: 'assistant',
content: [
{ type: 'text', text: `calling ${turn} `.repeat(300) },
{ type: 'tool-call', id: callId, name: 'read', arguments: '{}' },
],
source: {
kind: 'model',
...{ provider: MODEL, model: MODEL },
},
}),
}, { surfaceOp: 'append' })
session.append('tool/call', { turn, step: 1, callId, name: 'read', arguments: '{}' })
session.append('tool/result', {
turn,
step: 1,
message: createToolResultMessage({
callId,
content: [{ type: 'text', text: `result ${turn} `.repeat(300) }],
isError: false,
}),
}, { surfaceOp: 'append' })
session.append('step/end', { turn, step: 1 })
session.append('turn/end', { turn, reason: { kind: 'completed' } })
}
session.append('turn/start', { turn: 4 })
return session
}
/** One closed routed tool step followed by an open turn for rewrite events. */
function oversizedToolResult(chars = 3_000, withCompactablePrompt = false): Session {
const session = Session.create(SessionId(`oversized-tool-${chars}`))
const callId = ToolCallId('oversized')
session.append('turn/start', { turn: 1 })
if (withCompactablePrompt) {
session.append('user/message', createUserMessage({
content: [{ type: 'text', text: 'older history '.repeat(200) }],
source: { kind: 'user' },
}), { surfaceOp: 'append' })
}
session.append('step/start', { turn: 1, step: 1 })
session.append('request/header', {
header: { config: { provider: MODEL, model: MODEL } },
reason: 'initial',
})
session.append('assistant/message', {
stream: [],
turn: 1,
step: 1,
message: createMessage({
role: 'assistant',
content: [{ type: 'tool-call', id: callId, name: 'bash', arguments: '{}' }],
source: {
kind: 'model',
...{ provider: MODEL, model: MODEL },
},
}),
}, { surfaceOp: 'append' })
session.append('tool/call', { turn: 1, step: 1, callId, name: 'bash', arguments: '{}' })
session.append('tool/result', {
turn: 1,
step: 1,
message: createToolResultMessage({
callId,
content: [{ type: 'text', text: 'X'.repeat(chars) }],
isError: false,
}),
meta: { presentation: 'preserved' },
}, { surfaceOp: 'append' })
session.append('step/end', { turn: 1, step: 1 })
session.append('turn/end', { turn: 1, reason: { kind: 'completed' } })
session.append('turn/start', { turn: 2 })
return session
}
class TestCompactionEngine extends BasicCompactionEngine {
summary: ContentBlock[] = [{ type: 'text', text: 'small checkpoint' }]
rawOutput: ContentBlock[] | undefined
usage: TokenUsage | undefined
summaryProvider = 'summary-provider'
summaryModel = 'summary-model'
error: unknown
mutateDuringSummary: (() => void) | undefined
calls: Array<{ input: SummarizationInput; signal: AbortSignal | undefined }> = []
override async summarize(
input: SummarizationInput,
_agent: Agent,
signal?: AbortSignal,
): Promise<{
summary: ContentBlock[]
rawOutput?: ContentBlock[]
provider: string
model: string
maxTokens?: number
usage?: TokenUsage
}> {
this.calls.push({ input, signal })
this.mutateDuringSummary?.()
if (this.error !== undefined) throw this.error
return {
summary: this.summary,
...this.rawOutput === undefined ? {} : { rawOutput: this.rawOutput },
provider: this.summaryProvider,
model: this.summaryModel,
maxTokens: 123,
...this.usage === undefined ? {} : { usage: this.usage },
}
}
}
function service(
config: BasicCompactionConfig = { auto: false },
ctx = createContext(),
): TestCompactionEngine {
return new TestCompactionEngine(ctx, config)
}
async function compactIfNeeded(
compact: BasicCompactionEngine,
session: Session,
trigger: 'pressure' | 'context-overflow' = 'pressure',
model: string | undefined = MODEL,
): Promise<CompactionResult | null> {
return compact.compactIfNeeded(agent(session, model), trigger, SIGNAL)
}
describe('compact configuration and defaults', () => {
it('uses low-friction service-wide defaults', () => {
const resolved = resolveConfig({})
expect(resolved).toEqual({
thresholdRatio: 0.8,
retainRatio: 0.16,
summarizationProvider: '',
summarizationModel: '',
maxTokens: 8192,
compactionRetries: 1,
maxOverflowRetries: 1,
modelPolicies: [],
auto: true,
})
expect(Object.isFrozen(resolved)).toBe(true)
})
it('resolves threshold and retention overrides independently', () => {
const thresholdOnly = resolveConfig({
thresholdRatio: 0.5,
})
expect(thresholdOnly).toMatchObject({
thresholdRatio: 0.5,
retainRatio: 0.16,
})
const retentionOnly = resolveConfig({
retainTokens: 70,
})
expect(retentionOnly).toMatchObject({
thresholdRatio: 0.8,
retainTokens: 70,
})
expect(retentionOnly).not.toHaveProperty('retainRatio')
})
it('merges exact provider/model policy overrides and scales ratios per model', () => {
const config = resolveConfig({
thresholdRatio: 0.8,
retainRatio: 0.1,
modelPolicies: [{
provider: 'small-provider',
model: 'shared-id',
thresholdRatio: 0.5,
retainTokens: 120,
}],
})
const small = resolveTargetPolicy(config, {
provider: 'small-provider',
model: 'shared-id',
})
const otherProvider = resolveTargetPolicy(config, {
provider: 'large-provider',
model: 'shared-id',
})
expect(resolveCompactSpec(small, 1_000)).toMatchObject({
thresholdTokens: 500,
retainTokens: 120,
})
expect(resolveCompactSpec(otherProvider, 2_000)).toMatchObject({
thresholdTokens: 1_600,
retainTokens: 200,
})
const ratioOverride = resolveTargetPolicy(resolveConfig({
retainTokens: 200,
modelPolicies: [{
provider: 'ratio-provider',
model: 'ratio-model',
thresholdRatio: 0.6,
retainRatio: 0.2,
summarizationProvider: 'summary-provider',
summarizationModel: 'summary-model',
maxTokens: 512,
compactionRetries: 2,
maxOverflowRetries: 3,
}],
}), { provider: 'ratio-provider', model: 'ratio-model' })
expect(resolveCompactSpec(ratioOverride, 2_000)).toMatchObject({
thresholdTokens: 1_200,
retainTokens: 400,
summarizationProvider: 'summary-provider',
summarizationModel: 'summary-model',
maxTokens: 512,
compactionRetries: 2,
maxOverflowRetries: 3,
})
})
it('inherits, clears, and replaces the summarization target as a pair', () => {
const config = resolveConfig({
summarizationProvider: 'default-provider',
summarizationModel: 'default-model',
modelPolicies: [
{ provider: 'inherit-provider', model: MODEL },
{
provider: 'clear-provider',
model: MODEL,
summarizationProvider: '',
summarizationModel: '',
},
{
provider: 'replace-provider',
model: MODEL,
summarizationProvider: 'replacement-provider',
summarizationModel: 'replacement-model',
},
],
})
expect(resolveTargetPolicy(config, { provider: 'inherit-provider', model: MODEL }))
.toMatchObject({
summarizationProvider: 'default-provider',
summarizationModel: 'default-model',
})
expect(resolveTargetPolicy(config, { provider: 'clear-provider', model: MODEL }))
.toMatchObject({ summarizationProvider: '', summarizationModel: '' })
expect(resolveTargetPolicy(config, { provider: 'replace-provider', model: MODEL }))
.toMatchObject({
summarizationProvider: 'replacement-provider',
summarizationModel: 'replacement-model',
})
})
it('validates common values and pressure-policy invariants', () => {
const bad = [
[{ maxTokens: 0 }, /maxTokens/],
[{ compactionRetries: -1 }, /compactionRetries/],
[{ maxOverflowRetries: -1 }, /maxOverflowRetries/],
[{ auto: 'yes' }, /auto must be a boolean/],
[{ summarizationProvider: 1 }, /summarizationProvider must be a string/],
[{ summarizationModel: 1 }, /summarizationModel must be a string/],
[{ summarizationProvider: MODEL }, /must be set together/],
[{ summarizationModel: MODEL }, /must be set together/],
[{ summarizationProvider: '' }, /must be set together/],
[{ summarizationModel: '' }, /must be set together/],
[{ thresholdRatio: 0 }, /number in \(0, 1\]/],
[{ thresholdRatio: 1.1 }, /number in \(0, 1\]/],
[{ retainRatio: 0.9 }, /retainRatio \(0.9\) must be less than the resolved thresholdRatio \(0.8\)/],
[{ thresholdRatio: 0.1 }, /retainRatio \(0.16\) must be less than the resolved thresholdRatio \(0.1\)/],
[{ retainTokens: -1 }, /non-negative integer/],
[{ retainRatio: 0.2, retainTokens: 100 }, /mutually exclusive/],
[{ modelPolicies: {} }, /modelPolicies must be an array/],
[{ modelPolicies: [1] }, /modelPolicies\[0\] must be an object/],
[{ modelPolicies: [null] }, /modelPolicies\[0\] must be an object/],
[{ modelPolicies: [[]] }, /modelPolicies\[0\] must be an object/],
[{ modelPolicies: [{ provider: 1, model: MODEL }] }, /provider must be a non-empty string/],
[{ modelPolicies: [{ provider: '', model: MODEL }] }, /provider must be a non-empty string/],
[{ modelPolicies: [{ provider: MODEL, model: 1 }] }, /model must be a non-empty string/],
[{ modelPolicies: [{ provider: MODEL, model: '' }] }, /model must be a non-empty string/],
[{ modelPolicies: [{ provider: MODEL, model: MODEL, summarizationProvider: 1 }] }, /summarizationProvider must be a string/],
[{
summarizationProvider: 'default-provider',
summarizationModel: 'default-model',
modelPolicies: [{ provider: MODEL, model: MODEL, summarizationModel: '' }],
}, /modelPolicies\[0\].*must be set together/],
[{
summarizationProvider: 'default-provider',
summarizationModel: 'default-model',
modelPolicies: [{ provider: MODEL, model: MODEL, summarizationProvider: '' }],
}, /modelPolicies\[0\].*must be set together/],
[{ modelPolicies: [{ provider: MODEL, model: MODEL, retainRatio: 0.2, retainTokens: 100 }] }, /mutually exclusive/],
[
{ modelPolicies: [{ provider: MODEL, model: MODEL, thresholdRatio: 0.1 }] },
/modelPolicies\[0\]: retainRatio \(0.16\).*thresholdRatio \(0.1\)/,
],
[
{ modelPolicies: [{ provider: MODEL, model: MODEL, retainRatio: 0.9 }] },
/modelPolicies\[0\]: retainRatio \(0.9\).*thresholdRatio \(0.8\)/,
],
[{ modelPolicies: [{ provider: MODEL, model: MODEL }, { provider: MODEL, model: MODEL }] }, /duplicate model policy/],
[{ models: { [MODEL]: { retainTokens: 10 } } }, /BasicCompactionConfig: unknown key "models"/],
[{ thresholdRato: 0.5 }, /BasicCompactionConfig: unknown key "thresholdRato"/],
] as Array<[unknown, RegExp]>
for (const [config, pattern] of bad) {
expect(() => resolveConfig(config as BasicCompactionConfig)).toThrow(pattern)
}
const invalidPressure = resolveTargetPolicy(resolveConfig({
thresholdRatio: 0.5,
retainTokens: 500,
}), { provider: MODEL, model: MODEL })
expect(() => resolveCompactSpec(invalidPressure, 1_000)).toThrow(/less than threshold/)
expect(() => resolveCompactSpec(invalidPressure, 1.5)).toThrow(/positive integer/)
expect(() => resolveCompactSpec(invalidPressure, 0)).toThrow(/positive integer/)
})
})
describe('pressure measurement and retention', () => {
const compactConfig: BasicCompactionConfig = {
auto: false,
thresholdRatio: 0.5,
retainTokens: 180,
}
it('skips when no durable routed model exists instead of using AgentOptions fallback', async () => {
const compact = service(compactConfig)
const session = Session.create(SessionId('headerless'))
session.append('turn/start', { turn: 1 })
await expect(compact.compactIfNeeded(agent(session, MODEL), 'pressure', SIGNAL))
.resolves.toBeNull()
expect(compact.calls).toHaveLength(0)
})
it('meters an unlisted model when its provider adapter supplies context metadata', async () => {
const compact = service(compactConfig)
const session = conversation()
session.append('request/header', {
header: { config: { provider: 'unlisted-provider', model: 'unlisted-model' } },
reason: 'resume',
})
await expect(compactIfNeeded(compact, session))
.resolves.not.toBeNull()
})
it('forwards turn cancellation to proactive model metadata resolution', async () => {
const ctx = createContext()
const resolveModelInfo = vi.spyOn(ctx.llm, 'resolveModelInfo')
const compact = service(compactConfig, ctx)
const session = conversation()
const signal = new AbortController().signal
await expect(compact.compactIfNeeded(agent(session, MODEL), 'pressure', signal))
.resolves.not.toBeNull()
expect(resolveModelInfo).toHaveBeenCalledWith(MODEL, MODEL, signal)
})
it('re-resolves capacity after a same-model-id provider switch in one session', async () => {
const ctx = new Context()
void new LlmRuntime(ctx)
new SessionProjectionRegistry(ctx)
void new TokenMeter(ctx)
ctx.llm.registerAdapter(['large', 'small'], new RoutedContextAdapter({
large: 10_000,
small: 1_000,
}))
const compact = service({
auto: false,
thresholdRatio: 0.5,
retainRatio: 0.1,
}, ctx)
const session = conversation(4)
session.append('request/header', {
header: { config: { provider: 'large', model: 'shared-id' } },
reason: 'resume',
})
await expect(compactIfNeeded(compact, session)).resolves.toBeNull()
session.append('request/header', {
header: { config: { provider: 'small', model: 'shared-id' } },
reason: 'change',
})
await expect(compactIfNeeded(compact, session)).resolves.not.toBeNull()
})
it('requires capacity only for proactive pressure, not provider-confirmed overflow', async () => {
const ctx = new Context()
void new LlmRuntime(ctx)
new SessionProjectionRegistry(ctx)
void new TokenMeter(ctx)
ctx.llm.registerAdapter(['unknown-context'], new ContextAdapter(1_000))
vi.spyOn(ctx.llm, 'resolveModelInfo').mockImplementation((provider, model) => Promise.resolve({
provider,
id: model,
name: model,
}))
const compact = service(compactConfig, ctx)
const session = conversation(4)
session.append('request/header', {
header: { config: { provider: 'unknown-context', model: 'model' } },
reason: 'resume',
})
await expect(compactIfNeeded(compact, session, 'pressure'))
.rejects.toThrow(/no context capacity for unknown-context\/model/)
await expect(compactIfNeeded(compact, session, 'context-overflow'))
.resolves.not.toBeNull()
})
it('declines forced overflow when the whole surface is one indivisible tool pair', async () => {
const compact = service(compactConfig)
const session = Session.create(SessionId('single-tool-pair'))
const callId = ToolCallId('single-call')
session.append('turn/start', { turn: 1 })
session.append('step/start', { turn: 1, step: 1 })
session.append('request/header', {
header: { config: { provider: MODEL, model: MODEL } },
reason: 'initial',
})
session.append('assistant/message', {
stream: [],
turn: 1,
step: 1,
message: createMessage({
role: 'assistant',
content: [{ type: 'tool-call', id: callId, name: 'read', arguments: '{}' }],
source: {
kind: 'model',
...{ provider: MODEL, model: MODEL },
},
}),
}, { surfaceOp: 'append' })
session.append('tool/call', { turn: 1, step: 1, callId, name: 'read', arguments: '{}' })
session.append('tool/result', {
turn: 1,
step: 1,
message: createToolResultMessage({
callId,
content: [{ type: 'text', text: 'result' }],
isError: false,
}),
}, { surfaceOp: 'append' })
session.append('step/end', { turn: 1, step: 1 })
const generation = session.surface.replaceGeneration
await expect(compactIfNeeded(compact, session, 'context-overflow')).resolves.toBeNull()
expect(session.surface.replaceGeneration).toBe(generation)
expect(session.snapshotEvents().some(event => event.type === 'compaction/start')).toBe(false)
})
it('does nothing below threshold and compacts a priced head above threshold', async () => {
const compact = service(compactConfig)
expect(await compactIfNeeded(compact, conversation(2))).toBeNull()
const session = conversation(4)
const head = session.surface.nodes[0]!
const result = await compactIfNeeded(compact, session)
expect(result).not.toBeNull()
expect(result?.shadowedSeqs[0]).toBe(head)
expect(result?.shadowedSeqs.length).toBeGreaterThan(2)
expect(session.surface.nodes.length).toBeLessThan(8)
})
it('starts the range after a system head and keeps that node at surface position 0', async () => {
const ctx = createContext()
const compact = service(compactConfig, ctx)
const session = conversation(4, undefined, 'SYSTEM HEAD')
const [head, firstUser] = session.surface.nodes
expect(session.eventAt(head!)?.type).toBe('system/message')
const range = selectCompactableRange(session, ctx.tokenMeter.measure(session), compactConfig.retainTokens!)
expect(range?.start).toBe(firstUser)
const result = await compactIfNeeded(compact, session)
expect(result).not.toBeNull()
expect(result?.shadowedSeqs).not.toContain(head)
expect(result?.shadowedSeqs[0]).toBe(firstUser)
expect(session.surface.nodes[0]).toBe(head)
expect(session.deriveMessages()[0]).toMatchObject({
role: 'system',
content: [{ type: 'text', text: 'SYSTEM HEAD' }],
})
expect(compact.calls[0]!.input.messages[0]).toEqual(session.deriveMessages()[0])
expect(compact.calls[0]!.input.messages.filter(message => message.role === 'system')).toHaveLength(1)
})
it('declines when only the system head precedes the retained tail', () => {
const ctx = createContext()
const session = conversation(1, undefined, 'SYSTEM HEAD')
const priced = ctx.tokenMeter.measure(session)
const [, user, assistant] = priced.nodes
expect(priced.nodes).toHaveLength(3)
expect(selectCompactableRange(session, priced, user!.tokens + assistant!.tokens)).toBeNull()
})
it('counts the durable routed request envelope without putting it on the surface', async () => {
const compact = service({
auto: false,
thresholdRatio: 0.9,
retainTokens: 50,
})
const session = conversation(2, 'x'.repeat(600))
expect(await compactIfNeeded(compact, session)).toBeNull()
session.append('request/header', {
header: {
config: { provider: MODEL, model: MODEL },
tools: [{ name: 'bulk', description: 's'.repeat(2_000), parameters: { type: 'object' } }],
},
reason: 'resume',
})
const result = await compactIfNeeded(compact, session)
expect(result).not.toBeNull()
})
it('uses the latest logged request envelope without an AgentOptions override', async () => {
const ctx = createContext()
const compact = service({
auto: false,
thresholdRatio: 0.5,
retainTokens: 180,
}, ctx)
const session = conversation(4)
session.append('request/header', {
header: { config: { provider: 'actual', model: 'actual' } },
reason: 'initial',
})
const measure = vi.spyOn(ctx.tokenMeter, 'measure')
const result = await compactIfNeeded(compact, session, 'pressure', 'fallback')
expect(result).not.toBeNull()
expect(session.requestHeader()?.config.model).toBe('actual')
expect(measure.mock.calls[0]).toEqual([session])
})
it('declines when envelope pressure is high but the surface has no compactable range', async () => {
const compact = service(compactConfig)
const bulkTools = [{ name: 'bulk', description: 'x'.repeat(100_000), parameters: { type: 'object' } }]
const empty = Session.create(SessionId('empty'))
empty.append('turn/start', { turn: 1 })
empty.append('request/header', {
header: { config: { provider: MODEL, model: MODEL }, tools: bulkTools },
reason: 'initial',
})
expect(await compactIfNeeded(compact, empty)).toBeNull()
const retained = conversation(1)
retained.append('request/header', {
header: { config: { provider: MODEL, model: MODEL }, tools: bulkTools },
reason: 'resume',
})
expect(await compactIfNeeded(compact, retained)).toBeNull()
})
it('uses one unified measurement for each pressure-and-retention decision', async () => {
const ctx = createContext()
const compact = service(compactConfig, ctx)
const measure = vi.spyOn(ctx.tokenMeter, 'measure')
const stop = new Error('stop after first decision')
vi.spyOn(compact, 'compactRegion').mockRejectedValueOnce(stop)
await expect(compactIfNeeded(compact, conversation(4))).rejects.toBe(stop)
expect(measure).toHaveBeenCalledTimes(1)
})
it('bounds retries when a shrinking checkpoint remains above threshold', async () => {
const compact = service({
auto: false,
compactionRetries: 0,
thresholdRatio: 0.3,
retainTokens: 180,
})
compact.summary = Array.from({ length: 7 }, (_, index) => ({
type: 'text',
text: `summary ${index}`,
}))
await expect(compactIfNeeded(compact, conversation(4)))
.rejects.toThrow(/still above threshold after 1 compaction attempts/)
})
it('rounds a retention cut head-ward to preserve tool-call/result pairing', async () => {
const compact = service({
auto: false,
thresholdRatio: 0.8,
retainTokens: 80,
}, createContext(4_000))
const session = toolConversation()
const result = await compactIfNeeded(compact, session)
expect(result).not.toBeNull()
const messages = session.deriveMessages()
const calls = new Set<string>()
for (const message of messages) {
for (const block of message.content) {
if (block.type === 'tool-call') calls.add(block.id)
if (block.type === 'tool-result') expect(calls.has(block.toolCallId)).toBe(true)
}
}
})
it('rejects a priced surface that is not the current positional surface', () => {
const ctx = createContext()
const session = conversation(2)
const priced = ctx.tokenMeter.measure(session)
expect(() => selectCompactableRange(session, {
...priced,
nodes: priced.nodes.slice(1),
}, 1)).toThrow(/does not match/)
})
it('declines when rounding a cut would consume the only tool pair', () => {
const ctx = createContext()
const session = Session.create(SessionId('one-tool-pair'))
const callId = ToolCallId('only')
session.append('turn/start', { turn: 1 })
session.append('step/start', { turn: 1, step: 1 })
session.append('assistant/message', {
stream: [],
turn: 1,
step: 1,
message: createMessage({
role: 'assistant',
content: [{ type: 'tool-call', id: callId, name: 'read', arguments: '{}' }],
source: {
kind: 'model',
...{ provider: MODEL, model: MODEL },
},
}),
}, { surfaceOp: 'append' })
session.append('tool/call', { turn: 1, step: 1, callId, name: 'read', arguments: '{}' })
session.append('tool/result', {
turn: 1,
step: 1,
message: createToolResultMessage({
callId,
content: [{ type: 'text', text: 'result' }],
isError: false,
}),
}, { surfaceOp: 'append' })
session.append('step/end', { turn: 1, step: 1 })
const priced = ctx.tokenMeter.measure(session)
expect(selectCompactableRange(session, priced, 1)).toBeNull()
})
})
describe('optional model-free tool-result pruning', () => {
const pruneConfig = { thresholdChars: 100, headChars: 20, tailChars: 10 }
it('does not prune a below-pressure session opportunistically', async () => {
const ctx = createContext(10_000)
const prune = new ToolResultPruner(ctx, pruneConfig)
const compact = new TestCompactionEngine(ctx, {
auto: false,
thresholdRatio: 0.8,
retainTokens: 100,
})
const session = oversizedToolResult()
const pruneSession = vi.spyOn(prune, 'pruneSession')
expect(await compactIfNeeded(compact, session)).toBeNull()
expect(pruneSession).not.toHaveBeenCalled()
expect(compact.calls).toHaveLength(0)
expect(session.surface.replaceGeneration).toBe(0)
})
it('skips LLM summarization when pruning alone clears pressure', async () => {
const ctx = createContext(1_000)
void new ToolResultPruner(ctx, pruneConfig)
const compact = new TestCompactionEngine(ctx, {
auto: false,
thresholdRatio: 0.5,
retainTokens: 50,
})
const session = oversizedToolResult()
expect(ctx.tokenMeter.measure(session).totalTokens).toBeGreaterThanOrEqual(500)
expect(await compactIfNeeded(compact, session)).toBeNull()
expect(ctx.tokenMeter.measure(session).totalTokens).toBeLessThan(500)
expect(compact.calls).toHaveLength(0)
expect(session.surface.replaceGeneration).toBe(1)
})
it('summarizes the pruned surface when pruning is insufficient', async () => {
const ctx = createContext(2_000)
void new ToolResultPruner(ctx, pruneConfig)
const compact = new TestCompactionEngine(ctx, {
auto: false,
thresholdRatio: 0.5,
retainTokens: 50,
})
const session = toolConversation()
expect(await compactIfNeeded(compact, session)).not.toBeNull()
expect(compact.calls).toHaveLength(1)
expect(summarizedText(compact.calls[0]!.input)).toContain('tool result middle pruned')
expect(summarizedText(compact.calls[0]!.input)).not.toContain('result 1 '.repeat(300))
})
it('retains the original compaction-basic behavior without the optional plugin', async () => {
const ctx = createContext(2_000)
const compact = new TestCompactionEngine(ctx, {
auto: false,
thresholdRatio: 0.5,
retainTokens: 50,
})
const session = oversizedToolResult(3_000, true)
expect(await compactIfNeeded(compact, session)).not.toBeNull()
expect(compact.calls).toHaveLength(1)
const original = session.snapshotEvents().find(event => event.type === 'tool/result')
expect(original?.type === 'tool/result' && original.data.message.content[0].content[0])
.toEqual({ type: 'text', text: 'X'.repeat(3_000) })
expect(session.snapshotEvents().filter(event =>
event.type === 'tool/result' && event.surfaceOp !== 'append')).toHaveLength(0)
})
})
describe('compaction region transaction', () => {
it('lands a framed, replayable checkpoint with exact source seqs and token price', async () => {
const compact = service()
compact.rawOutput = [
{ type: 'reasoning', text: 'private compact thought' },
...compact.summary,
]
compact.usage = { inputTokens: 40, outputTokens: 5 }
const session = conversation(3)
const before = [...session.surface.nodes]
const result = await compact.compactRegion(
before[0]!,
before[3]!,
agent(session, MODEL),
SIGNAL,
)
expect(result.shadowedSeqs).toEqual(before.slice(0, 4))
expect(result.shadowedTokenCount).toBeGreaterThan(0)
expect(compact.calls[0]).toMatchObject({ signal: SIGNAL })
expect(summarizedText(compact.calls[0]!.input)).toContain('fixture user 1')
const summary = session.snapshotEvents().findLast(event => event.type === 'compaction/summary')
expect(summary?.data).toMatchObject({
shadowedSeqs: result.shadowedSeqs,
shadowedTokenCount: result.shadowedTokenCount,
provider: 'summary-provider',
model: 'summary-model',
maxTokens: 123,
rawOutput: compact.rawOutput,
usage: compact.usage,
})
expect(summary?.data).not.toHaveProperty('llmStreamCall')
const head = session.deriveMessages()[0]!
expect(head.content[0]?.type).toBe('text')
expect(head.content[0]?.type === 'text' ? head.content[0].text : '').toContain('<compacted-summary>')
expect(head.content.at(-1)).toEqual({ type: 'text', text: '</compacted-summary>' })
const replay = Session.create(SessionId('replay'), session.snapshotEvents())
expect(replay.deriveMessages()).toEqual(session.deriveMessages())
})
it('replays the system head and latest routed tools so the summarizer reuses the cache', async () => {
const compact = service()
const session = conversation(3, undefined, 'CONVERSATION SYSTEM')
const tools = [{ name: 'do_thing', description: 'd', parameters: { type: 'object' } }]
session.append('request/header', {
header: { config: { provider: MODEL, model: MODEL }, tools },
reason: 'resume',
})
const nodes = session.surface.nodes
const prefix = session.deriveMessages().slice(0, 3)
await compact.compactRegion(nodes[1]!, nodes[2]!, agent(session, MODEL), SIGNAL)
const { input } = compact.calls[0]!
expect(input).toEqual({ messages: prefix, tools })
})
it('omits the summarizer system prompt for an empty system head or a system-less surface', async () => {
const compact = service()
const emptyHead = conversation(3, undefined, '')
const emptyNodes = emptyHead.surface.nodes
expect(emptyHead.eventAt(emptyNodes[0]!)?.type).toBe('system/message')
await compact.compactRegion(emptyNodes[1]!, emptyNodes[2]!, agent(emptyHead, MODEL), SIGNAL)
expect(compact.calls[0]!.input.messages[0]).toMatchObject({ role: 'user' })
expect(compact.calls[0]!.input.messages.some(message => message.role === 'system')).toBe(false)
expect(emptyHead.surface.nodes[0]).toBe(emptyNodes[0])
const headless = conversation(3)
const nodes = headless.surface.nodes
await compact.compactRegion(nodes[0]!, nodes[1]!, agent(headless, MODEL), SIGNAL)
expect(compact.calls[1]!.input.messages.some(message => message.role === 'system')).toBe(false)
expect(compact.calls[1]!.input.messages[0]).toMatchObject({ role: 'user' })
})
it('surfaces the session rejection of a range that covers the system head', async () => {
const compact = service()
const session = conversation(3, undefined, 'PROTECTED SYSTEM')
const nodes = [...session.surface.nodes]
await expect(compact.compactRegion(nodes[0]!, nodes[3]!, agent(session, MODEL), SIGNAL))
.rejects.toThrow(/node 0 holds the system prompt/)
expect(session.surface.nodes).toEqual(nodes)
const end = session.snapshotEvents().findLast(event => event.type === 'compaction/end')
expect(end?.type === 'compaction/end' && end.data.error).toBeDefined()
})
it.each([
['start missing', 9_001, undefined, /start seq 9001 not found/],
['end missing', undefined, 9_002, /end seq 9002 not found/],
])('rejects %s', async (_label, startOverride, endOverride, pattern) => {
const compact = service()
const session = conversation(2)
const nodes = session.surface.nodes
await expect(compact.compactRegion(
startOverride === undefined ? nodes[0]! : SessionSeq(startOverride),
endOverride === undefined ? nodes[1]! : SessionSeq(endOverride),
agent(session, MODEL),
)).rejects.toThrow(pattern)
})
it('rejects reversed and tool-unbalanced positional boundaries', async () => {
const compact = service()
const plain = conversation(2)
const nodes = plain.surface.nodes
await expect(compact.compactRegion(
nodes[2]!,
nodes[1]!,
agent(plain, MODEL),
)).rejects.toThrow(/is after end/)
const tools = toolConversation()
const toolNodes = tools.surface.nodes
await expect(compact.compactRegion(
toolNodes[2]!,
toolNodes[4]!,
agent(tools, MODEL),
)).rejects.toThrow(/start seq .* not a balanced boundary/)
await expect(compact.compactRegion(
toolNodes[0]!,
toolNodes[1]!,
agent(tools, MODEL),
)).rejects.toThrow(/end seq .* not a balanced boundary/)
})
it('requires an open turn and an idle compaction bracket', async () => {
const compact = service()
const closed = conversation(1)
closed.append('turn/end', { turn: 2, reason: { kind: 'completed' } })
const nodes = closed.surface.nodes
await expect(compact.compactRegion(
nodes[0]!,
nodes[1]!,
agent(closed, MODEL),
)).rejects.toThrow(/no open turn/)
const locked = conversation(1)
locked.append('compaction/start', {
compactionId: CompactionId('locked-compaction'),
turn: 2,
})
const lockedNodes = locked.surface.nodes
await expect(compact.compactRegion(
lockedNodes[0]!,
lockedNodes[1]!,
agent(locked, MODEL),
)).rejects.toThrow(/already in progress/)
})
it('rejects a session with no turn boundary at all', async () => {
const compact = service()
const session = Session.create(SessionId('turnless'))
session.append('user/message', createUserMessage({
content: [{ type: 'text', text: 'orphan' }],
source: { kind: 'user' },
}), { surfaceOp: 'append' })
const node = session.surface.nodes[0]!
await expect(compact.compactRegion(
node,
node,
agent(session, MODEL),
)).rejects.toThrow(/no open turn/)
})
it('rejects a meter snapshot that changed before summarization began', async () => {
const ctx = createContext()
const meter = ctx.tokenMeter
const original = meter.measure.bind(meter)
vi.spyOn(meter, 'measure').mockImplementationOnce((session) => {
const measurement = original(session)
return { ...measurement, nodes: measurement.nodes.slice(1) }
})
const compact = service({ auto: false }, ctx)
const session = conversation(2)
const nodes = session.surface.nodes
await expect(compact.compactRegion(
nodes[0]!,
nodes[2]!,
agent(session, MODEL),
)).rejects.toThrow(/selected surface changed/)
})
it('records summarizer failures without mutating the surface', async () => {
const compact = service()
compact.error = new Error('summary unavailable')
const session = conversation(2)
const before = session.surface.nodes
await expect(compact.compactRegion(
before[0]!,
before[2]!,
agent(session, MODEL),
)).rejects.toThrow('summary unavailable')
expect(session.surface.nodes).toEqual(before)
expect(session.snapshotEvents().findLast(event => event.type === 'compaction/end')?.data)
.toMatchObject({ error: 'summary unavailable' })
})
it('stringifies non-Error failures in the durable end bracket', async () => {
const compact = service()
compact.error = 'plain failure'
const session = conversation(2)
const nodes = session.surface.nodes
await expect(compact.compactRegion(
nodes[0]!,
nodes[2]!,
agent(session, MODEL),
)).rejects.toBe('plain failure')
expect(session.snapshotEvents().findLast(event => event.type === 'compaction/end')?.data)
.toMatchObject({ error: 'plain failure' })
})
it('tolerates concurrent log-only appends while the selected surface is stable', async () => {
const compact = service()
const session = conversation(2)
compact.mutateDuringSummary = () => {
session.append('request/header', {
header: { config: { provider: MODEL, model: MODEL } },
reason: 'change',
})
}
const nodes = session.surface.nodes
await expect(compact.compactRegion(
nodes[0]!,
nodes[2]!,
agent(session, MODEL),
)).resolves.toMatchObject({ shadowedSeqs: nodes.slice(0, 3) })
expect(session.snapshotEvents().some(event => event.type === 'compaction/summary')).toBe(true)
})
it('rejects concurrent surface appends before committing the replacement', async () => {
const compact = service()
const session = conversation(2)
compact.mutateDuringSummary = () => {
session.append('user/message', createUserMessage({
content: [{ type: 'text', text: 'concurrent surface mutation' }],
source: { kind: 'plugin', plugin: 'test' },
}), { surfaceOp: 'append' })
}
const nodes = session.surface.nodes
await expect(compact.compactRegion(
nodes[0]!,
nodes[2]!,
agent(session, MODEL),
)).rejects.toThrow(/session surface changed/)
expect(session.snapshotEvents().some(event => event.type === 'compaction/summary')).toBe(false)
})
it('rejects a non-shrinking framed summary under the conversation meter', async () => {
const compact = service()
compact.summary = Array.from({ length: 100 }, (_, index) => ({
type: 'text',
text: `verbose ${index}`,
}))
const session = conversation(2)
const nodes = session.surface.nodes
await expect(compact.compactRegion(
nodes[0]!,
nodes[2]!,
agent(session, MODEL),
)).rejects.toThrow(/summary is not smaller/)
expect(session.snapshotEvents().some(event => event.type === 'compaction/summary')).toBe(false)
})
it('lets a model-independent custom summarizer compact without a conversation model', async () => {
const compact = service()
const session = Session.create(SessionId('model-less-region'))
session.append('turn/start', { turn: 1 })
session.append('user/message', createUserMessage({
content: [{ type: 'text', text: 'history '.repeat(100) }],
source: { kind: 'user' },
}), { surfaceOp: 'append' })
session.append('step/start', { turn: 1, step: 1 })
session.append('assistant/message', {
stream: [],
turn: 1,
step: 1,
message: createMessage({
role: 'assistant',
content: [{ type: 'text', text: 'answer '.repeat(100) }],
source: {
kind: 'model',
...{ provider: 'historical', model: 'historical' },
},
}),
}, { surfaceOp: 'append' })
session.append('step/end', { turn: 1, step: 1 })
const nodes = session.surface.nodes
await expect(compact.compactRegion(
nodes[0]!,
nodes[1]!,
agent(session),
)).resolves.toMatchObject({ shadowedSeqs: [nodes[0]!, nodes[1]!] })
})
})
class ScriptedAdapter extends LlmAdapter {
lastOptions: GenerateOptions | undefined
usage: TokenUsage | undefined
constructor(
private readonly blocks: readonly ContentBlock[],
private readonly finish: (StreamChunk & { type: 'finish' })['reason'] = { kind: 'stop' },
) {
super()
}
override async * stream(options: GenerateOptions): AsyncIterable<StreamChunk> {
this.lastOptions = options
for (const [index, block] of this.blocks.entries()) {
yield { type: 'block-start', index, blockType: block.type }
if (block.type === 'text') {
yield { type: 'text-delta', index, text: block.text }
} else if (block.type === 'reasoning') {
yield { type: 'reasoning-delta', index, text: block.text }
} else {
yield { type: 'block-end', index, block }
}
}
if (this.usage !== undefined) yield { type: 'usage', usage: this.usage }
yield { type: 'finish', reason: this.finish }
}
}
class ExposedCompactionEngine extends BasicCompactionEngine {
runSummarize(
input: SummarizationInput,
owner: Agent,
signal?: AbortSignal,
): Promise<{
summary: ContentBlock[]
rawOutput?: ContentBlock[]
provider: string
model: string
maxTokens?: number
usage?: TokenUsage
}> {
return this.summarize(input, owner, signal)
}
}
async function summarizerHarness(
blocks: readonly ContentBlock[],
finish?: (StreamChunk & { type: 'finish' })['reason'],
model = MODEL,
config: BasicCompactionConfig = { auto: false },
): Promise<{ ctx: Context; adapter: ScriptedAdapter; compact: ExposedCompactionEngine }> {
const ctx = new Context()
await ctx.plugin(LlmRuntime)
await ctx.plugin(SessionProjectionRegistry)
void new TokenMeter(ctx)
const adapter = new ScriptedAdapter(blocks, finish)
ctx.llm.registerAdapter([model], adapter)
const compact = new ExposedCompactionEngine(ctx, config)
return { ctx, adapter, compact }
}
describe('default one-shot summarizer', () => {
it.each([undefined, '', 'SYSTEM HEAD\n精确前缀\n'])('preserves the routed prefix through region summarization with system %j', async (system) => {
const { adapter, compact } = await summarizerHarness([{ type: 'text', text: 'summary' }])
const session = conversation(3, undefined, system)
const tools = [{ name: 'do_thing', description: 'd', parameters: { type: 'object' } }]
session.append('request/header', {
header: { config: { provider: MODEL, model: MODEL }, tools },
reason: 'resume',
})
const nodes = [...session.surface.nodes]
const start = system === undefined ? 0 : 1
const prefix = session.deriveMessages().slice(0, system ? 3 : 2)
const result = await compact.compactRegion(nodes[start]!, nodes[start + 1]!, agent(session, MODEL), SIGNAL)
expect(adapter.lastOptions).not.toHaveProperty('system')
expect(adapter.lastOptions?.tools).toEqual(tools)
expect(adapter.lastOptions?.messages.slice(0, -1)).toEqual(prefix)
expect(adapter.lastOptions?.messages.at(-1)).toMatchObject({ role: 'user' })
expect(result.shadowedSeqs).toEqual(nodes.slice(start, start + 2))
if (system !== undefined) expect(session.surface.nodes[0]).toBe(nodes[0])
})
it('requires complete raw output when a subclass marks one local LLM stream call', () => {
expectTypeOf<{
summary: ContentBlock[]
llmStreamCall: true
provider: string
model: string
}>().not.toExtend<SummaryResult>()
})
it('uses configured model/default cap, forwards cancellation, and keeps only safe text', async () => {
const { adapter, compact } = await summarizerHarness([
{ type: 'reasoning', text: 'private' },
{ type: 'text', text: 'public summary' },
{ type: 'tool-call', id: ToolCallId('unexpected'), name: 'x', arguments: '{}' },
], undefined, MODEL, {
auto: false,
summarizationProvider: MODEL,
summarizationModel: MODEL,
maxTokens: 321,
})
const session = conversation(1)
adapter.usage = { inputTokens: 12, outputTokens: 3 }
const output = await compact.runSummarize(promptInput('transcript'), agent(session, 'fallback'), SIGNAL)
expect(output).toEqual({
summary: [{ type: 'text', text: 'public summary' }],
rawOutput: [
{ type: 'reasoning', text: 'private' },
{ type: 'text', text: 'public summary' },
{ type: 'tool-call', id: ToolCallId('unexpected'), name: 'x', arguments: '{}' },
],
llmStreamCall: true,
provider: MODEL,
model: MODEL,
maxTokens: 321,
usage: adapter.usage,
})
expect(adapter.lastOptions).toMatchObject({
provider: MODEL,
model: MODEL,
maxTokens: 321,
signal: SIGNAL,
sessionId: session.id,
purpose: 'compaction',
})
const instruction = adapter.lastOptions?.messages.at(-1)?.content[0]
expect(instruction?.type === 'text' ? instruction.text : '').toContain('## Primary Request and Intent')
})
it('replays the conversation prefix and appends the instruction as the final message', async () => {
const { adapter, compact } = await summarizerHarness([{ type: 'text', text: 'summary' }])
const tools = [{ name: 'do_thing', description: 'd', parameters: { type: 'object' } }]
const prefix: Message = createUserMessage({
content: [
{ type: 'text', text: 'earlier turn' },
{
type: 'image',
attachment: {
attachmentId: AttachmentId(`sha256:${'a'.repeat(64)}`),
mediaType: 'image/png',
bytes: 1,
width: 1,
height: 1,
},
},
],
source: { kind: 'plugin', plugin: 'test' },
})
const system = createSystemMessage('REPLAYED SYSTEM', SYSTEM_PROMPT_PLUGIN)
await compact.runSummarize({
tools,
messages: [system, prefix],
}, agent(conversation(1), MODEL))
expect(adapter.lastOptions).not.toHaveProperty('system')
expect(adapter.lastOptions?.tools).toEqual(tools)
const messages = adapter.lastOptions?.messages ?? []
expect(messages.slice(0, -1)).toEqual([system, prefix])
const last = messages.at(-1)?.content[0]
const lastText = last?.type === 'text' ? last.text : ''
expect(lastText).toContain('Write concise English engineering prose.')
expect(lastText).toContain('numeric values, function signatures, and syntax fragments.')
expect(lastText).toContain('## Primary Request and Intent')
})
it('applies the routed model policy without changing the replayed prefix', async () => {
const { ctx, compact } = await summarizerHarness(
[{ type: 'text', text: 'unused default summary' }],
undefined,
MODEL,
{
auto: false,
maxTokens: 111,
modelPolicies: [{
provider: MODEL,
model: MODEL,
summarizationProvider: 'policy-summary',
summarizationModel: 'policy-summary',
maxTokens: 222,
}],
},
)
const policyAdapter = new ScriptedAdapter([{ type: 'text', text: 'policy summary' }])
ctx.llm.registerAdapter(['policy-summary'], policyAdapter)
const prefix: Message = createUserMessage({
content: [{ type: 'text', text: 'warm prefix' }],
source: { kind: 'plugin', plugin: 'test' },
})
const system = createSystemMessage('WARM SYSTEM', SYSTEM_PROMPT_PLUGIN)
const output = await compact.runSummarize({
messages: [system, prefix],
}, agent(conversation(1), 'fallback'))
expect(output).toMatchObject({
provider: 'policy-summary',
model: 'policy-summary',
maxTokens: 222,
})
expect(policyAdapter.lastOptions).toMatchObject({
provider: 'policy-summary',
model: 'policy-summary',
maxTokens: 222,
})
expect(policyAdapter.lastOptions).not.toHaveProperty('system')
expect(policyAdapter.lastOptions?.messages.slice(0, -1)).toEqual([system, prefix])
})
it('resolves the latest routed provider/model before the AgentOptions pair', async () => {
const { adapter, compact } = await summarizerHarness([{ type: 'text', text: 'summary' }], undefined, 'routed')
const session = conversation(1)
session.append('request/header', {
header: { config: { provider: 'routed', model: 'routed' } },
reason: 'initial',
})
const output = await compact.runSummarize(promptInput('history'), agent(session, 'fallback'))
expect(output.provider).toBe('routed')
expect(output.model).toBe('routed')
expect(adapter.lastOptions?.provider).toBe('routed')
expect(adapter.lastOptions?.model).toBe('routed')
})
it('records the model actually dispatched after one-shot stream routing', async () => {
const { ctx, compact } = await summarizerHarness([{ type: 'text', text: 'unused' }])
const routedAdapter = new ScriptedAdapter([{ type: 'text', text: 'routed summary' }])
ctx.llm.registerAdapter(['routed-summary-provider'], routedAdapter)
ctx.on('llm/stream', (options, next) => {
options.provider = 'routed-summary-provider'
options.model = 'routed-summary-model'
return next()
})
const session = conversation(3, 'large history '.repeat(500))
const nodes = session.surface.nodes
await compact.compactRegion(nodes[0]!, nodes[3]!, agent(session, MODEL), SIGNAL)
expect(session.snapshotEvents().findLast(event => event.type === 'compaction/summary')?.data).toMatchObject({
summary: [{ type: 'text', text: 'routed summary' }],
llmStreamCall: true,
provider: 'routed-summary-provider',
model: 'routed-summary-model',
})
expect(routedAdapter.lastOptions?.provider).toBe('routed-summary-provider')
expect(routedAdapter.lastOptions?.model).toBe('routed-summary-model')
})
it('fails clearly when no complete summarization target can be resolved', async () => {
const ctx = new Context()
await ctx.plugin(LlmRuntime)
await ctx.plugin(SessionProjectionRegistry)
void new TokenMeter(ctx)
const compact = new ExposedCompactionEngine(ctx, { auto: false })
await expect(compact.runSummarize(promptInput('history'), agent(Session.create(SessionId('model-less')))))
.rejects.toThrow(/no provider\/model available for summarization/)
})
it('uses a complete AgentOptions target when no durable route exists', async () => {
const { adapter, compact } = await summarizerHarness([{ type: 'text', text: 'summary' }])
const session = Session.create(SessionId('headerless-summary'))
await expect(compact.runSummarize(promptInput('history'), agent(session, MODEL))).resolves.toMatchObject({
provider: MODEL,
model: MODEL,
})
expect(adapter.lastOptions).toMatchObject({ provider: MODEL, model: MODEL })
})
it.each([
{ provider: '', model: MODEL },
{ provider: MODEL },
{ provider: MODEL, model: '' },
])('rejects incomplete AgentOptions target %#', async (options) => {
const { compact } = await summarizerHarness([{ type: 'text', text: 'unused' }])
const owner = {
session: Session.create(SessionId(`incomplete-${String(options.model)}`)),
options,
} as Agent
await expect(compact.runSummarize(promptInput('history'), owner))
.rejects.toThrow(/no provider\/model available for summarization/)
})
it.each([
[{ kind: 'error', failure: { message: 'provider failed', code: 'PROVIDER' } }, 'PROVIDER', /provider failed/],
[{ kind: 'error', failure: { message: 'opaque', code: 'UNKNOWN' } }, 'UNKNOWN', /opaque/],
[{ kind: 'aborted', failure: { message: 'summarization aborted', code: 'ABORTED' } }, 'ABORTED', /aborted/],
[{ kind: 'max-tokens' }, 'MAX_TOKENS', /token cap/],
] as Array<[(StreamChunk & { type: 'finish' })['reason'], string | undefined, RegExp]>) (
'rejects terminal finish %#',
async (finish, code, pattern) => {
const { compact } = await summarizerHarness([], finish)
let thrown: unknown
try {
await compact.runSummarize(promptInput('history'), agent(conversation(1), MODEL))
} catch (error: unknown) {
thrown = error
}
expect(thrown).toBeInstanceOf(Error)
expect((thrown as Error).message).toMatch(pattern)
expect((thrown as Error & { code?: string }).code).toBe(code)
},
)
it('rejects empty or reasoning-only successful output', async () => {
const { compact } = await summarizerHarness([{ type: 'reasoning', text: 'private' }])
await expect(compact.runSummarize(promptInput('history'), agent(conversation(1), MODEL)))
.rejects.toThrow(/no text summary content/)
})
it('rejects image summary output instead of silently dropping it', async () => {
const { compact } = await summarizerHarness([
{
type: 'image',
attachment: {
attachmentId: AttachmentId(`sha256:${'b'.repeat(64)}`),
mediaType: 'image/png',
bytes: 1,
width: 1,
height: 1,
},
},
{ type: 'text', text: 'partial summary' },
])
await expect(compact.runSummarize(promptInput('history'), agent(conversation(1), MODEL)))
.rejects.toMatchObject({ code: 'UNSUPPORTED_CONTENT' })
})
it('rejects image summary output nested in a tool result', async () => {
const { compact } = await summarizerHarness([{
type: 'tool-result',
toolCallId: ToolCallId('summary-tool'),
content: [{
type: 'image',
attachment: {
attachmentId: AttachmentId(`sha256:${'c'.repeat(64)}`),
mediaType: 'image/png',
bytes: 1,
width: 1,
height: 1,
},
}],
}])
await expect(compact.runSummarize(promptInput('history'), agent(conversation(1), MODEL)))
.rejects.toMatchObject({ code: 'UNSUPPORTED_CONTENT' })
})
})
describe('automatic listener and loader composition', () => {
function preStep(ctx: Context, owner: Agent, signal = SIGNAL) {
return agentEvents(ctx, owner).waterfall(
'agent/pre-step', { messages: [], turn: 1, step: 1, signal },
() => Promise.resolve({ kind: 'enter' as const, messages: [] }),
)
}
function recover(
ctx: Context,
owner: Agent,
error: Error & { code?: string },
signal = SIGNAL,
next: () => Promise<RequestErrorAction> = () => Promise.resolve(undefined),
): Promise<boolean> {
const failure: LlmFailure = { message: error.message, code: error.code ?? 'UNKNOWN' }
const turn = owner.session.snapshotEvents().findLast(event => event.type === 'turn/start')?.data.turn ?? 1
return agentEvents(ctx, owner).waterfall(
'agent/request-error',
{ turn, step: 1, provider: 'test', failure, retryPolicy: undefined, signal },
next,
).then(action => action?.kind === 'retry')
}
function overflow(message = 'provider overflow'): Error & { code: string } {
return Object.assign(new Error(message), { code: CONTEXT_WINDOW_EXCEEDED_CODE })
}
it('compacts before a step above threshold using the durable routed model and remains idle below it', async () => {
const ctx = createContext()
const compact = new TestCompactionEngine(ctx, {
thresholdRatio: 0.5,
retainTokens: 180,
})
const pressured = conversation(4)
await preStep(ctx, agent(pressured, 'unconfigured-agent-fallback'))
expect(pressured.snapshotEvents().some(event => event.type === 'compaction/summary')).toBe(true)
const small = conversation(1)
await preStep(ctx, agent(small, MODEL))
expect(small.snapshotEvents().some(event => event.type === 'compaction/start')).toBe(false)
expect(compact.calls).toHaveLength(1)
})
it('skips pre-step pressure when the step signal is already aborted', async () => {
const ctx = createContext()
const compact = new TestCompactionEngine(ctx, {
thresholdRatio: 0.5,
retainTokens: 180,
})
const pressured = conversation(4)
const compactIfNeeded = vi.spyOn(compact, 'compactIfNeeded')
await expect(preStep(ctx, agent(pressured, MODEL), AbortSignal.abort('step aborted')))
.resolves.toEqual({ kind: 'enter', messages: [] })
expect(compactIfNeeded).not.toHaveBeenCalled()
expect(pressured.snapshotEvents().some(event => event.type === 'compaction/start')).toBe(false)
})
it('warns and continues after operational failures, including non-Errors', async () => {
const ctx = createContext()
const warnings: string[] = []
ctx.logger.warn = ((message: string) => void warnings.push(message)) as typeof ctx.logger.warn
const compact = new TestCompactionEngine(ctx, {
thresholdRatio: 0.5,
retainTokens: 180,
})
compact.error = 'temporary failure'
const session = conversation(4)
await expect(preStep(ctx, agent(session, MODEL))).resolves.toEqual({ kind: 'enter', messages: [] })
expect(warnings).toContainEqual(expect.stringContaining('temporary failure'))
expect(session.snapshotEvents().some(event => event.type === 'compaction/summary')).toBe(false)
})
it('warns once per routed target when proactive pressure has no context metadata', async () => {
const ctx = createContext()
const warnings: string[] = []
ctx.logger.warn = ((message: string) => void warnings.push(message)) as typeof ctx.logger.warn
vi.spyOn(ctx.llm, 'resolveModelInfo').mockImplementation((provider, model) => Promise.resolve({
provider,
id: model,
name: model,
}))
void new TestCompactionEngine(ctx, {
thresholdRatio: 0.5,
retainTokens: 180,
})
const session = conversation(4)
await preStep(ctx, agent(session, MODEL))
await preStep(ctx, agent(session, MODEL))
expect(warnings).toEqual([
expect.stringContaining(`no context capacity for ${MODEL}/${MODEL}`),
])
})
it('warns once per routed target when absolute retention exceeds its resolved threshold', async () => {
const ctx = createContext()
const warnings: string[] = []
ctx.logger.warn = ((message: string) => void warnings.push(message)) as typeof ctx.logger.warn
void new TestCompactionEngine(ctx, {
thresholdRatio: 0.5,
retainTokens: 500,
})
const session = conversation(4)
await preStep(ctx, agent(session, MODEL))
await preStep(ctx, agent(session, MODEL))
expect(warnings).toEqual([
expect.stringContaining('retainTokens (500) must be less than threshold tokens 500'),
])
})
it('force-compacts below normal pressure for canonical overflow and retries only after replacement', async () => {
const ctx = createContext(10_000)
void new TestCompactionEngine(ctx, {
thresholdRatio: 1,
retainTokens: 900,
})
const session = conversation(3)
const beforeGeneration = session.surface.replaceGeneration
const retainedSeq = session.surface.nodes.at(-1)!
const threshold = 10_000
expect(ctx.tokenMeter.measure(session).totalTokens).toBeLessThan(threshold)
const decision = await recover(ctx, agent(session, 'unconfigured-agent-fallback'), overflow())
expect(decision).toBe(true)
expect(session.surface.replaceGeneration).toBe(beforeGeneration + 1)
expect(session.snapshotEvents().some(event => event.type === 'compaction/summary')).toBe(true)
expect(session.surface.nodes).toContain(retainedSeq)
})
it('authorizes overflow retry when pruning alone advances an indivisible surface', async () => {
const ctx = createContext(10_000)
void new ToolResultPruner(ctx, {
thresholdChars: 100,
headChars: 20,
tailChars: 10,
})
const compact = new TestCompactionEngine(ctx, {
thresholdRatio: 1,
retainTokens: 900,
})
const session = oversizedToolResult()
expect(await recover(ctx, agent(session, MODEL), overflow())).toBe(true)
expect(session.surface.replaceGeneration).toBe(1)
expect(session.snapshotEvents().some(event => event.type === 'compaction/summary')).toBe(false)
expect(compact.calls).toHaveLength(0)
})
it('continues overflow recovery with summarization on the pruned surface', async () => {
const ctx = createContext(10_000)
void new ToolResultPruner(ctx, {
thresholdChars: 100,
headChars: 20,
tailChars: 10,
})
const compact = new TestCompactionEngine(ctx, {
thresholdRatio: 1,
retainTokens: 900,
})
const session = toolConversation()
expect(await recover(ctx, agent(session, MODEL), overflow())).toBe(true)
expect(session.snapshotEvents().some(event => event.type === 'compaction/summary')).toBe(true)
expect(compact.calls).toHaveLength(1)
expect(summarizedText(compact.calls[0]!.input)).toContain('tool result middle pruned')
})
it('retries from a durable prune when later overflow summarization throws', async () => {
const ctx = createContext(10_000)
const warnings: string[] = []
ctx.logger.warn = ((message: string) => void warnings.push(message)) as typeof ctx.logger.warn
void new ToolResultPruner(ctx, {
thresholdChars: 100,
headChars: 20,
tailChars: 10,
})
const compact = new TestCompactionEngine(ctx, {
thresholdRatio: 1,
retainTokens: 900,
})
compact.error = new Error('summary unavailable after prune')
const session = oversizedToolResult(3_000, true)
expect(await recover(ctx, agent(session, MODEL), overflow())).toBe(true)
expect(session.surface.replaceGeneration).toBe(1)
expect(session.snapshotEvents().filter(event => event.type === 'tool/result')).toHaveLength(2)
expect(session.snapshotEvents().findLast(event => event.type === 'compaction/end')?.data)
.toMatchObject({ error: 'summary unavailable after prune' })
expect(warnings).toContainEqual(expect.stringContaining('retrying from the replacement surface'))
})
it('lets cancellation win when summary throws after a durable prune', async () => {
const ctx = createContext(10_000)
const controller = new AbortController()
void new ToolResultPruner(ctx, {
thresholdChars: 100,
headChars: 20,
tailChars: 10,
})
const compact = new TestCompactionEngine(ctx, {
thresholdRatio: 1,
retainTokens: 900,
})
compact.mutateDuringSummary = () => { controller.abort('cancelled during summary') }
compact.error = new Error('summary cancelled after prune')
const session = oversizedToolResult(3_000, true)
expect(await recover(ctx, agent(session, MODEL), overflow(), controller.signal)).toBe(false)
expect(session.surface.replaceGeneration).toBe(1)
})
it('preserves the newest whole tool-call/result pair during forced overflow compaction', async () => {
const ctx = createContext()
void new TestCompactionEngine(ctx, {
thresholdRatio: 1,
retainTokens: 90,
})
const session = toolConversation()
const newestAssistant = session.surface.nodes.at(-2)!
const newestResult = session.surface.nodes.at(-1)!
expect(await recover(ctx, agent(session, MODEL), overflow())).toBe(true)
const currentAssistant = session.surface.nodes.find(node => node === newestAssistant)
const currentResult = session.surface.nodes.find(node => node === newestResult)
expect(currentAssistant).toBeDefined()
expect(currentResult).toBeDefined()
expect(toolPairingBalancedBefore(session, currentAssistant!)).toBe(true)
expect(toolPairingBalancedAfter(session, currentResult!)).toBe(true)
})
it('does not retry when a backend reports success without replacing the surface', async () => {
const ctx = createContext()
const compact = new TestCompactionEngine(ctx)
const session = conversation(2)
const fakeResult: CompactionResult = {
compactionId: CompactionId('fake-compaction'),
startSeq: SessionSeq(1),
summarySeq: SessionSeq(2),
endSeq: SessionSeq(3),
summary: [{ type: 'text', text: 'fake' }],
shadowedRange: { start: SessionSeq(1), end: SessionSeq(2) },
shadowedSeqs: [SessionSeq(1), SessionSeq(2)],
shadowedTokenCount: 10,
}
vi.spyOn(compact, 'compactIfNeeded').mockResolvedValue(fakeResult)
expect(await recover(ctx, agent(session, MODEL), overflow())).toBe(false)
expect(session.surface.replaceGeneration).toBe(0)
})
it('delegates downstream exactly once when no replacement is available', async () => {
const ctx = createContext()
const compact = new TestCompactionEngine(ctx)
vi.spyOn(compact, 'compactIfNeeded').mockResolvedValue(null)
const downstream = new Error('downstream recovery failed')
let calls = 0
await expect(recover(
ctx,
agent(conversation(2), MODEL),
overflow(),
SIGNAL,
() => {
calls += 1
return Promise.reject(downstream)
},
)).rejects.toBe(downstream)
expect(calls).toBe(1)
})
it('preserves the original provider error when recovery throws', async () => {
const ctx = createContext()
const warnings: string[] = []
ctx.logger.warn = ((message: string) => void warnings.push(message)) as typeof ctx.logger.warn
const compact = new TestCompactionEngine(ctx)
compact.error = new Error('summary unavailable')
const original = overflow('original provider overflow')
expect(await recover(ctx, agent(conversation(3), MODEL), original)).toBe(false)
expect(original).toMatchObject({
message: 'original provider overflow',
code: CONTEXT_WINDOW_EXCEEDED_CODE,
})
expect(warnings).toContainEqual(expect.stringContaining('preserving the original request error'))
})
it('delegates once when overflow recovery throws a non-Error value', async () => {
const ctx = createContext()
const warnings: string[] = []
ctx.logger.warn = ((message: string) => void warnings.push(message)) as typeof ctx.logger.warn
const compact = new TestCompactionEngine(ctx)
compact.error = 'non-error recovery failure'
const session = conversation(3)
const generation = session.surface.replaceGeneration
const original = overflow('original provider failure')
let delegations = 0
const decision = await recover(ctx, agent(session, MODEL), original, SIGNAL, () => {
delegations += 1
return Promise.resolve(undefined)
})
expect(decision).toBe(false)
expect(delegations).toBe(1)
expect(session.surface.replaceGeneration).toBe(generation)
expect(original).toMatchObject({
message: 'original provider failure',
code: CONTEXT_WINDOW_EXCEEDED_CODE,
})
expect(warnings).toContainEqual(expect.stringContaining('non-error recovery failure'))
})
it('recovers an overflow for an unlisted routed model', async () => {
const ctx = createContext()
void new TestCompactionEngine(ctx)
const session = conversation(2)
session.append('request/header', {
header: { config: { provider: 'unknown-routed-provider', model: 'unknown-routed-model' } },
reason: 'resume',
})
expect(await recover(ctx, agent(session, MODEL), overflow('unlisted-model overflow')))
.toBe(true)
})
it('delegates canonical overflow when no durable routed target exists', async () => {
const ctx = createContext()
void new TestCompactionEngine(ctx)
const session = Session.create(SessionId('headerless-overflow'))
session.append('turn/start', {
turn: 1,
})
await expect(recover(ctx, agent(session, MODEL), overflow())).resolves.toBe(false)
})
it('honors retry caps and ignores non-context failures', async () => {
const ctx = createContext()
const compact = new TestCompactionEngine(ctx, { maxOverflowRetries: 1 })
const compactSpy = vi.spyOn(compact, 'compactIfNeeded')
const owner = agent(conversation(3), MODEL)
expect(await recover(ctx, owner, Object.assign(new Error('rate limit'), { code: 'RATE_LIMIT' })))
.toBe(false)
expect(await recover(ctx, owner, overflow())).toBe(true)
compactSpy.mockClear()
expect(await recover(ctx, owner, overflow())).toBe(false)
expect(compactSpy).not.toHaveBeenCalled()
})
it('applies the routed model override to the overflow retry cap', async () => {
const ctx = createContext()
const compact = new TestCompactionEngine(ctx, {
maxOverflowRetries: 2,
modelPolicies: [{
provider: MODEL,
model: MODEL,
maxOverflowRetries: 1,
}],
})
const compactSpy = vi.spyOn(compact, 'compactIfNeeded')
const owner = agent(conversation(3), MODEL)
expect(await recover(ctx, owner, overflow())).toBe(true)
compactSpy.mockClear()
expect(await recover(ctx, owner, overflow())).toBe(false)
expect(compactSpy).not.toHaveBeenCalled()
})
it('does not retry when cancellation lands during an awaited compaction', async () => {
const ctx = createContext()
const compact = new TestCompactionEngine(ctx)
const controller = new AbortController()
compact.mutateDuringSummary = () => { controller.abort('cancelled during summary') }
const session = conversation(3)
const generation = session.surface.replaceGeneration
expect(await recover(ctx, agent(session, MODEL), overflow(), controller.signal)).toBe(false)
expect(session.surface.replaceGeneration).toBe(generation + 1)
})
it('maxOverflowRetries:0 disables recovery without disabling post-step pressure', async () => {
const ctx = createContext()
void new TestCompactionEngine(ctx, {
maxOverflowRetries: 0,
thresholdRatio: 0.5,
retainTokens: 180,
})
const session = conversation(4)
await preStep(ctx, agent(session, MODEL))
const summaries = session.snapshotEvents().filter(event => event.type === 'compaction/summary').length
expect(summaries).toBe(1)
expect(await recover(ctx, agent(session, MODEL), overflow())).toBe(false)
expect(session.snapshotEvents().filter(event => event.type === 'compaction/summary')).toHaveLength(summaries)
})
it('auto:false installs neither automatic listener', async () => {
const ctx = createContext()
void new TestCompactionEngine(ctx, {
auto: false,
thresholdRatio: 0.5,
retainTokens: 180,
})
const session = conversation(4)
await preStep(ctx, agent(session, MODEL))
expect(session.snapshotEvents().some(event => event.type === 'compaction/start')).toBe(false)
expect(await recover(ctx, agent(session, MODEL), overflow())).toBe(false)
})
it('loads and disposes the real zero-config service stack', async () => {
const ctx = new Context()
await ctx.plugin(LlmRuntime)
await ctx.plugin(SessionStore)
await ctx.plugin(SessionProjectionRegistry)
const meterFiber = await ctx.plugin(TokenMeter)
const compactFiber = await ctx.plugin(BasicCompactionEngine, { auto: false })
expect(ctx.get('compaction')).toBeInstanceOf(BasicCompactionEngine)
await compactFiber.dispose()
expect(ctx.get('compaction')).toBeUndefined()
await meterFiber.dispose()
expect(ctx.get('tokenMeter')).toBeUndefined()
})
it('removes its automatic listener with the plugin fiber', async () => {
const ctx = new Context()
await ctx.plugin(LlmRuntime)
await ctx.plugin(SessionProjectionRegistry)
await ctx.plugin(TokenMeter)
const fiber = await ctx.plugin(TestCompactionEngine, {
thresholdRatio: 0.5,
retainTokens: 180,
})
await fiber.dispose()
const session = conversation(4)
await preStep(ctx, agent(session, MODEL))
expect(session.snapshotEvents().some(event => event.type === 'compaction/start')).toBe(false)
expect(await recover(ctx, agent(session, MODEL), overflow())).toBe(false)
})
})
describe('route-priced image pressure', () => {
const IMAGE_VISUAL_TOKENS = 300
const IMAGE_HANDLE_TEXT = 'request preview'
class PricedContextAdapter extends ContextAdapter {
override imageRequestPricing(): { priceImages: (images: readonly unknown[]) => Array<{ visualTokens: number; text: string }> } {
return {
priceImages: images => images.map(() => ({
visualTokens: IMAGE_VISUAL_TOKENS,
text: IMAGE_HANDLE_TEXT,
})),
}
}
}
function pricedContext(contextWindow = 1_000): Context {
const ctx = new Context()
void new LlmRuntime(ctx)
new SessionProjectionRegistry(ctx)
void new TokenMeter(ctx)
ctx.llm.registerAdapter([MODEL], new PricedContextAdapter(contextWindow))
return ctx
}
/** Closed short-text turns whose user messages each carry one image. */
function imageConversation(turns = 4): Session {
const session = Session.create(SessionId(`image-dense-${turns}`))
for (let turn = 1; turn <= turns; turn += 1) {
session.append('turn/start', { turn })
session.append('user/message', createUserMessage({
content: [
{ type: 'text', text: `image turn ${turn}` },
{
type: 'image',
attachment: {
attachmentId: AttachmentId(`sha256:${String(turn).repeat(8)}`),
mediaType: 'image/png',
bytes: 2048,
width: 800,
height: 800,
name: `shot-${turn}`,
},
},
],
source: { kind: 'user' },
}), { surfaceOp: 'append' })
session.append('step/start', { turn, step: 1 })
if (turn === 1) {
session.append('request/header', {
header: { config: { provider: MODEL, model: MODEL } },
reason: 'initial',
})
}
session.append('assistant/message', {
stream: [],
turn,
step: 1,
message: createMessage({
role: 'assistant',
content: [{ type: 'text', text: `ok ${turn}` }],
source: {
kind: 'model',
...{ provider: MODEL, model: MODEL },
},
}),
}, { surfaceOp: 'append' })
session.append('step/end', { turn, step: 1 })
session.append('turn/end', { turn, reason: { kind: 'completed' } })
}
session.append('turn/start', { turn: turns + 1 })
return session
}
it('selects an image-dense range only when the routed price counts visual tokens', () => {
const session = imageConversation()
const routed = pricedContext().tokenMeter.measure(session)
const neutral = createContext().tokenMeter.measure(session)
expect(routed.surfaceTokens).toBeGreaterThan(neutral.surfaceTokens + 4 * IMAGE_VISUAL_TOKENS - 200)
expect(routed.nodes.map(node => node.seq)).toEqual(neutral.nodes.map(node => node.seq))
expect(routed.nodes.map(node => node.heuristicTokens)).toEqual(neutral.nodes.map(node => node.tokens))
// The same verbatim tail budget retains almost everything under the
// neutral heuristic but forces a cut once visual tokens are counted.
expect(selectCompactableRange(session, neutral, 350)).toBeNull()
const range = selectCompactableRange(session, routed, 350)
expect(range).not.toBeNull()
})
it('accepts a summary larger than the span heuristic when the route price shrinks', async () => {
// A single short image message prices below a framed summary under the
// fixed heuristic but far above it under the route: the shrink comparison
// must ask whether the replacement lowers route pressure.
const ctx = pricedContext(1_000)
const session = imageConversation(1)
const before = ctx.tokenMeter.measure(session)
const imageNode = before.nodes[0]!
const compact = new TestCompactionEngine(ctx, { auto: false })
compact.summary = [{
type: 'text',
text: 'summary text sized between the heuristic and route prices of the shadowed image message, '
+ 'long enough that the fixed heuristic alone would reject it as not smaller '
+ 'while the route-priced comparison accepts the pressure reduction.',
}]
const framed = ctx.tokenMeter.estimateMessage(createUserMessage({
content: frameSummary(compact.summary),
source: { kind: 'plugin', plugin: 'test' },
}))
expect(framed).toBeGreaterThan(imageNode.heuristicTokens)
expect(framed).toBeLessThan(imageNode.tokens)
const result = await compact.compactRegion(imageNode.seq, imageNode.seq, agent(session), SIGNAL)
expect(result.shadowedSeqs).toEqual([imageNode.seq])
expect(result.shadowedTokenCount).toBe(imageNode.heuristicTokens)
})
it('triggers pressure compaction from routed visual tokens and logs heuristic shadow prices', async () => {
const ctx = pricedContext(1_000)
const session = imageConversation()
const before = ctx.tokenMeter.measure(session)
const compact = new TestCompactionEngine(ctx, {
auto: false,
thresholdRatio: 0.8,
retainTokens: 350,
})
// The same history stays below the 800-token threshold without pricing.
const neutralResult = await compactIfNeeded(service({
auto: false,
thresholdRatio: 0.8,
retainTokens: 350,
}), session)
expect(neutralResult).toBeNull()
const result = await compact.compactIfNeeded(agent(session), 'pressure', SIGNAL)
expect(result).not.toBeNull()
const summaryEvent = session.snapshotEvents().find(event => event.type === 'compaction/summary')
expect(summaryEvent).toBeDefined()
const shadowedHeuristic = before.nodes
.filter(node => result?.shadowedSeqs.includes(node.seq))
.reduce((total, node) => total + node.heuristicTokens, 0)
expect(summaryEvent?.data.shadowedTokenCount).toBe(shadowedHeuristic)
})
})
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