fix(runtime): bound text history summarizer inputs#3113

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M4n5ter merged 2 commits into from
Aug 16, 2026
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fix(runtime): bound text history summarizer inputs #3113

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b121f75
fix(runtime): bound text history summarizer inputs
Sun-GLiang Aug 16, 2026
db344ac
test(runtime-host): bound compaction fixture input
Sun-GLiang Aug 16, 2026
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8 changes: 5 additions & 3 deletions packages/runtime-host/src/__tests__/execution-model-composition.test.ts
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Original file line numberDiff line numberDiff line change
Expand Up@@ -1086,6 +1086,8 @@ test('production Host executes a canonical ai-sdk Session against a real provide
assert.equal(remembered.result.kind, 'committed');

const turnIds: string[] = [];
// Cross the history high-water without making the text-only compact input
// exceed this fixture's 2,304-token summarizer budget.
for (let index = 0; index < 5; index += 1) {
const turnId = randomUUID();
turnIds.push(turnId);
Expand All@@ -1094,10 +1096,10 @@ test('production Host executes a canonical ai-sdk Session against a real provide
session.id,
turnId,
index === 0
? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(160)}`
? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(128)}`
: index === 1
? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`
: `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`,
? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`
: `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`,
connectionContext,
);
const terminal = await waitForTerminal(
Expand Down
85 changes: 85 additions & 0 deletions packages/runtime/src/__tests__/history-compact-input-fit.test.ts
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import { fitHistoryCompactMessages } from '../history-compact-input-fit.js';
import type { ModelMessage } from '../model-protocol.js';

describe('history compaction input fitting', () => {
test('bounds oversized tool evidence without breaking the call/result pair', () => {
const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
const messages: ModelMessage[] = [
{
role: 'assistant',
content: [
{
type: 'tool-call',
toolCallId: 'call-1',
toolName: 'shell',
input: { command: 'inspect' },
},
],
},
{
role: 'tool',
content: [
{
type: 'tool-result',
toolCallId: 'call-1',
toolName: 'shell',
output: { type: 'text', value: oversizedOutput },
},
],
},
{ role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
];

const bounded = fitHistoryCompactMessages(messages, {
maxInputEstimatedTokens: 600,
charsPerToken: 1,
});

assert.ok(stableJsonLength(bounded) <= 600);
assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
assert.deepEqual(
bounded.flatMap((message) =>
typeof message.content === 'string'
? []
: message.content
.filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
.map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
),
[
{ type: 'tool-call', toolCallId: 'call-1' },
{ type: 'tool-result', toolCallId: 'call-1' },
],
);
});

test('fails before dispatch when non-tool history cannot fit', () => {
assert.throws(
() =>
fitHistoryCompactMessages(
[{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
{ maxInputEstimatedTokens: 10, charsPerToken: 1 },
),
(error) =>
error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
);
});

test('keeps the projection unchanged without a budget or when it already fits', () => {
const messages: ModelMessage[] = [
{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] },
];

assert.deepEqual(fitHistoryCompactMessages(messages, {}), messages);
assert.deepEqual(
fitHistoryCompactMessages(messages, {
maxInputEstimatedTokens: 1_000,
charsPerToken: 1,
}),
messages,
);
});
});
145 changes: 142 additions & 3 deletions packages/runtime/src/__tests__/history-compact-summarizer.test.ts
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Original file line numberDiff line numberDiff line change
Expand Up@@ -15,6 +15,7 @@ import { ProviderRequestTracker } from '../provider-request-telemetry.js';
import type { HistoryCompactSummaryInput } from '../ai-sdk-compaction-contract.js';
import {
buildLlmHistorySummarizer,
HistoryCompactSummarizerError,
type AiSdkGenerateTextLike,
} from '../history-compact-summarizer.js';
import { buildHistoryCompactCheckpoint } from '../history-compact-checkpoint.js';
Expand DownExpand Up@@ -57,9 +58,10 @@ describe('buildLlmHistorySummarizer', () => {
},
});

await summarize(
inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
);
await summarize({
...inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
});

expect(seen?.providerOptions).toBe(providerOptions);
expect(seen?.maxOutputTokens).toBe(undefined);
Expand DownExpand Up@@ -342,6 +344,142 @@ describe('buildLlmHistorySummarizer', () => {
]);
});

test('bounds the oldest oversized tool result before dispatch while preserving newer context', async () => {
let seen: Parameters<AiSdkGenerateTextLike>[0] | undefined;
const generateText: AiSdkGenerateTextLike = async (options) => {
seen = options;
return { text: '## Goal\nX' };
};
const summarize = buildLlmHistorySummarizer({ resolveModel: () => 'fake-model', generateText });
const oldToolOutput = 'OLD_OVERSIZED_TOOL_OUTPUT_'.repeat(1_024);
const events: RuntimeEvent[] = [
ev({
role: 'model',
author: 'agent',
content: { kind: 'function_call', id: 'old-call', name: 'read', args: { path: 'old.log' } },
}),
ev({
role: 'tool',
author: 'tool',
content: {
kind: 'function_response',
id: 'old-call',
name: 'read',
result: oldToolOutput,
},
}),
ev({
role: 'model',
author: 'agent',
content: {
kind: 'function_call',
id: 'recent-call',
name: 'read',
args: { path: 'recent.log' },
},
}),
ev({
role: 'tool',
author: 'tool',
content: {
kind: 'function_response',
id: 'recent-call',
name: 'read',
result: 'RECENT_TOOL_RESULT',
},
}),
ev({
role: 'model',
author: 'agent',
content: { kind: 'text', text: 'LATEST_GROUNDED_CONTEXT' },
}),
];

await summarize({
...inputWith(events),
inputBudget: { maxEstimatedTokens: 4_000, charsPerToken: 1 },
});

const messages = seen!.messages;
const serialized = JSON.stringify(messages);
assert.ok(serialized.length <= 4_000);
assert.equal(serialized.includes(oldToolOutput), false);
assert.match(serialized, /Tool output omitted/);
assert.match(serialized, /RECENT_TOOL_RESULT/);
assert.match(serialized, /LATEST_GROUNDED_CONTEXT/);
assert.match(JSON.stringify(events), /OLD_OVERSIZED_TOOL_OUTPUT/);
assert.deepEqual(
messages.flatMap((message) =>
typeof message.content === 'string'
? []
: message.content
.filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
.map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
),
[
{ type: 'tool-call', toolCallId: 'old-call' },
{ type: 'tool-result', toolCallId: 'old-call' },
{ type: 'tool-call', toolCallId: 'recent-call' },
{ type: 'tool-result', toolCallId: 'recent-call' },
],
);
});

test('fails with input_too_large before dispatch when non-tool history cannot fit', async () => {
let calls = 0;
let modelResolutions = 0;
const summarize = buildLlmHistorySummarizer({
resolveModel: () => {
modelResolutions += 1;
return 'fake-model';
},
generateText: async () => {
calls += 1;
return { text: 'should not dispatch' };
},
});

await assert.rejects(
summarize({
...inputWith([
ev({
role: 'user',
author: 'user',
content: { kind: 'text', text: 'x'.repeat(1_000) },
}),
]),
inputBudget: { maxEstimatedTokens: 10, charsPerToken: 1 },
}),
(error) =>
error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
);
assert.equal(calls, 0);
assert.equal(modelResolutions, 0);
});

test('charges the summarization instructions against the input budget before dispatch', async () => {
let calls = 0;
const summarize = buildLlmHistorySummarizer({
resolveModel: () => 'fake-model',
generateText: async () => {
calls += 1;
return { text: 'should not dispatch' };
},
});

await assert.rejects(
summarize({
...inputWith([
ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'small history' } }),
]),
inputBudget: { maxEstimatedTokens: 500, charsPerToken: 1 },
}),
(error) =>
error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
);
assert.equal(calls, 0);
});

test('stamped step ids decide membership over settledness', async () => {
const seen: Array<{ messages: unknown[] }> = [];
const generateText: AiSdkGenerateTextLike = async (opts) => {
Expand DownExpand Up@@ -494,6 +632,7 @@ describe('buildLlmHistorySummarizer', () => {
...input,
previousCheckpoint,
newlyFoldedRuntimeEvents: [newer],
inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
});

expect(result).toBe('rolled');
Expand Down
73 changes: 8 additions & 65 deletions packages/runtime/src/__tests__/openai-codex-history-compactor.test.ts
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Original file line numberDiff line numberDiff line change
@@ -1,75 +1,18 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import type { ModelMessage } from '../model-protocol.js';
import {
extractOpenAiCodexCompactionState,
fitOpenAiCodexCompactionMessages,
} from '../openai-codex-history-compactor.js';

describe('OpenAI Codex history compaction input', () => {
test('bounds oversized tool evidence without breaking the call/result pair', () => {
const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
const messages: ModelMessage[] = [
{
role: 'assistant',
content: [
{
type: 'tool-call',
toolCallId: 'call-1',
toolName: 'shell',
input: { command: 'inspect' },
},
],
},
{
role: 'tool',
content: [
{
type: 'tool-result',
toolCallId: 'call-1',
toolName: 'shell',
output: { type: 'text', value: oversizedOutput },
},
],
},
{ role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
];

const bounded = fitOpenAiCodexCompactionMessages(messages, {
maxInputEstimatedTokens: 600,
charsPerToken: 1,
});

assert.ok(stableJsonLength(bounded) <= 600);
assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
assert.deepEqual(
bounded.flatMap((message) =>
typeof message.content === 'string'
? []
: message.content
.filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
.map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
),
[
{ type: 'tool-call', toolCallId: 'call-1' },
{ type: 'tool-result', toolCallId: 'call-1' },
],
);
});

test('fails before dispatch when non-tool history cannot fit', () => {
assert.throws(
() =>
fitOpenAiCodexCompactionMessages(
[{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
{ maxInputEstimatedTokens: 10, charsPerToken: 1 },
),
(error) =>
error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
);
});
test('preserves the provider-specific input-fitting export', () => {
assert.deepEqual(
fitOpenAiCodexCompactionMessages(
[{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
{ maxInputEstimatedTokens: 1_000, charsPerToken: 1 },
),
[{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
);
});

describe('OpenAI Codex compaction output', () => {
Expand Down
Loading
Loading
, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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fix(runtime): bound text history summarizer inputs#3113

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 Merged

M4n5ter
merged 2 commits into

from

Aug 16, 2026
 Merged


fix(runtime): bound text history summarizer inputs
#3113
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b121f75

fix(runtime): bound text history summarizer inputs


Sun-GLiang Aug 16, 2026
db344ac

test(runtime-host): bound compaction fixture input


Sun-GLiang Aug 16, 2026

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8 changes: 5 additions & 3 deletions
packages/runtime-host/src/__tests__/execution-model-composition.test.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -1086,6 +1086,8 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 assert.equal(remembered.result.kind, 'committed');

 const turnIds: string[] = [];
 // Cross the history high-water without making the text-only compact input
 // exceed this fixture's 2,304-token summarizer budget.
 for (let index = 0; index < 5; index += 1) {
 const turnId = randomUUID();
 turnIds.push(turnId);
Expand All@@ -1094,10 +1096,10 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 session.id,
 turnId,
 index === 0
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(160)}`
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(128)}`
 : index === 1
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`,
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`,
 connectionContext,
 );
 const terminal = await waitForTerminal(
Expand Down

85 changes: 85 additions & 0 deletions
packages/runtime/src/__tests__/history-compact-input-fit.test.ts

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import { fitHistoryCompactMessages } from '../history-compact-input-fit.js';
import type { ModelMessage } from '../model-protocol.js';

describe('history compaction input fitting', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitHistoryCompactMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });

 test('keeps the projection unchanged without a budget or when it already fits', () => {
 const messages: ModelMessage[] = [
 { role: 'user', content: [{ type: 'text', text: 'bounded history' }] },
 ];

 assert.deepEqual(fitHistoryCompactMessages(messages, {}), messages);
 assert.deepEqual(
 fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 1_000,
 charsPerToken: 1,
 }),
 messages,
 );
 });
});

145 changes: 142 additions & 3 deletions
packages/runtime/src/__tests__/history-compact-summarizer.test.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -15,6 +15,7 @@ import { ProviderRequestTracker } from '../provider-request-telemetry.js';
import type { HistoryCompactSummaryInput } from '../ai-sdk-compaction-contract.js';
import {
 buildLlmHistorySummarizer,
 HistoryCompactSummarizerError,
 type AiSdkGenerateTextLike,
} from '../history-compact-summarizer.js';
import { buildHistoryCompactCheckpoint } from '../history-compact-checkpoint.js';
Expand DownExpand Up@@ -57,9 +58,10 @@ describe('buildLlmHistorySummarizer', () => {
 },
 });

 await summarize(
 inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 );
 await summarize({
 ...inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(seen?.providerOptions).toBe(providerOptions);
 expect(seen?.maxOutputTokens).toBe(undefined);
Expand DownExpand Up@@ -342,6 +344,142 @@ describe('buildLlmHistorySummarizer', () => {
 ]);
 });

 test('bounds the oldest oversized tool result before dispatch while preserving newer context', async () => {
 let seen: Parameters<AiSdkGenerateTextLike>[0] | undefined;
 const generateText: AiSdkGenerateTextLike = async (options) => {
 seen = options;
 return { text: '## Goal\nX' };
 };
 const summarize = buildLlmHistorySummarizer({ resolveModel: () => 'fake-model', generateText });
 const oldToolOutput = 'OLD_OVERSIZED_TOOL_OUTPUT_'.repeat(1_024);
 const events: RuntimeEvent[] = [
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'function_call', id: 'old-call', name: 'read', args: { path: 'old.log' } },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'old-call',
 name: 'read',
 result: oldToolOutput,
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: {
 kind: 'function_call',
 id: 'recent-call',
 name: 'read',
 args: { path: 'recent.log' },
 },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'recent-call',
 name: 'read',
 result: 'RECENT_TOOL_RESULT',
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'text', text: 'LATEST_GROUNDED_CONTEXT' },
 }),
 ];

 await summarize({
 ...inputWith(events),
 inputBudget: { maxEstimatedTokens: 4_000, charsPerToken: 1 },
 });

 const messages = seen!.messages;
 const serialized = JSON.stringify(messages);
 assert.ok(serialized.length <= 4_000);
 assert.equal(serialized.includes(oldToolOutput), false);
 assert.match(serialized, /Tool output omitted/);
 assert.match(serialized, /RECENT_TOOL_RESULT/);
 assert.match(serialized, /LATEST_GROUNDED_CONTEXT/);
 assert.match(JSON.stringify(events), /OLD_OVERSIZED_TOOL_OUTPUT/);
 assert.deepEqual(
 messages.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'old-call' },
 { type: 'tool-result', toolCallId: 'old-call' },
 { type: 'tool-call', toolCallId: 'recent-call' },
 { type: 'tool-result', toolCallId: 'recent-call' },
 ],
 );
 });

 test('fails with input_too_large before dispatch when non-tool history cannot fit', async () => {
 let calls = 0;
 let modelResolutions = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => {
 modelResolutions += 1;
 return 'fake-model';
 },
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({
 role: 'user',
 author: 'user',
 content: { kind: 'text', text: 'x'.repeat(1_000) },
 }),
 ]),
 inputBudget: { maxEstimatedTokens: 10, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 assert.equal(modelResolutions, 0);
 });

 test('charges the summarization instructions against the input budget before dispatch', async () => {
 let calls = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => 'fake-model',
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'small history' } }),
 ]),
 inputBudget: { maxEstimatedTokens: 500, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 });

 test('stamped step ids decide membership over settledness', async () => {
 const seen: Array<{ messages: unknown[] }> = [];
 const generateText: AiSdkGenerateTextLike = async (opts) => {
Expand DownExpand Up@@ -494,6 +632,7 @@ describe('buildLlmHistorySummarizer', () => {
 ...input,
 previousCheckpoint,
 newlyFoldedRuntimeEvents: [newer],
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(result).toBe('rolled');
Expand Down

73 changes: 8 additions & 65 deletions
packages/runtime/src/__tests__/openai-codex-history-compactor.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,75 +1,18 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import type { ModelMessage } from '../model-protocol.js';
import {
 extractOpenAiCodexCompactionState,
 fitOpenAiCodexCompactionMessages,
} from '../openai-codex-history-compactor.js';

describe('OpenAI Codex history compaction input', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitOpenAiCodexCompactionMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });
test('preserves the provider-specific input-fitting export', () => {
 assert.deepEqual(
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 { maxInputEstimatedTokens: 1_000, charsPerToken: 1 },
 ),
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 );
});

describe('OpenAI Codex compaction output', () => {
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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fix(runtime): bound text history summarizer inputs#3113

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M4n5ter
merged 2 commits into

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Aug 16, 2026
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fix(runtime): bound text history summarizer inputs
#3113
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b121f75

fix(runtime): bound text history summarizer inputs


Sun-GLiang Aug 16, 2026
db344ac

test(runtime-host): bound compaction fixture input


Sun-GLiang Aug 16, 2026

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8 changes: 5 additions & 3 deletions
packages/runtime-host/src/__tests__/execution-model-composition.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1086,6 +1086,8 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 assert.equal(remembered.result.kind, 'committed');

 const turnIds: string[] = [];
 // Cross the history high-water without making the text-only compact input
 // exceed this fixture's 2,304-token summarizer budget.
 for (let index = 0; index < 5; index += 1) {
 const turnId = randomUUID();
 turnIds.push(turnId);
Expand All@@ -1094,10 +1096,10 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 session.id,
 turnId,
 index === 0
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(160)}`
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(128)}`
 : index === 1
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`,
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`,
 connectionContext,
 );
 const terminal = await waitForTerminal(
Expand Down

85 changes: 85 additions & 0 deletions
packages/runtime/src/__tests__/history-compact-input-fit.test.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import { fitHistoryCompactMessages } from '../history-compact-input-fit.js';
import type { ModelMessage } from '../model-protocol.js';

describe('history compaction input fitting', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitHistoryCompactMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });

 test('keeps the projection unchanged without a budget or when it already fits', () => {
 const messages: ModelMessage[] = [
 { role: 'user', content: [{ type: 'text', text: 'bounded history' }] },
 ];

 assert.deepEqual(fitHistoryCompactMessages(messages, {}), messages);
 assert.deepEqual(
 fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 1_000,
 charsPerToken: 1,
 }),
 messages,
 );
 });
});

145 changes: 142 additions & 3 deletions
packages/runtime/src/__tests__/history-compact-summarizer.test.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -15,6 +15,7 @@ import { ProviderRequestTracker } from '../provider-request-telemetry.js';
import type { HistoryCompactSummaryInput } from '../ai-sdk-compaction-contract.js';
import {
 buildLlmHistorySummarizer,
 HistoryCompactSummarizerError,
 type AiSdkGenerateTextLike,
} from '../history-compact-summarizer.js';
import { buildHistoryCompactCheckpoint } from '../history-compact-checkpoint.js';
Expand DownExpand Up@@ -57,9 +58,10 @@ describe('buildLlmHistorySummarizer', () => {
 },
 });

 await summarize(
 inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 );
 await summarize({
 ...inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(seen?.providerOptions).toBe(providerOptions);
 expect(seen?.maxOutputTokens).toBe(undefined);
Expand DownExpand Up@@ -342,6 +344,142 @@ describe('buildLlmHistorySummarizer', () => {
 ]);
 });

 test('bounds the oldest oversized tool result before dispatch while preserving newer context', async () => {
 let seen: Parameters<AiSdkGenerateTextLike>[0] | undefined;
 const generateText: AiSdkGenerateTextLike = async (options) => {
 seen = options;
 return { text: '## Goal\nX' };
 };
 const summarize = buildLlmHistorySummarizer({ resolveModel: () => 'fake-model', generateText });
 const oldToolOutput = 'OLD_OVERSIZED_TOOL_OUTPUT_'.repeat(1_024);
 const events: RuntimeEvent[] = [
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'function_call', id: 'old-call', name: 'read', args: { path: 'old.log' } },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'old-call',
 name: 'read',
 result: oldToolOutput,
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: {
 kind: 'function_call',
 id: 'recent-call',
 name: 'read',
 args: { path: 'recent.log' },
 },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'recent-call',
 name: 'read',
 result: 'RECENT_TOOL_RESULT',
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'text', text: 'LATEST_GROUNDED_CONTEXT' },
 }),
 ];

 await summarize({
 ...inputWith(events),
 inputBudget: { maxEstimatedTokens: 4_000, charsPerToken: 1 },
 });

 const messages = seen!.messages;
 const serialized = JSON.stringify(messages);
 assert.ok(serialized.length <= 4_000);
 assert.equal(serialized.includes(oldToolOutput), false);
 assert.match(serialized, /Tool output omitted/);
 assert.match(serialized, /RECENT_TOOL_RESULT/);
 assert.match(serialized, /LATEST_GROUNDED_CONTEXT/);
 assert.match(JSON.stringify(events), /OLD_OVERSIZED_TOOL_OUTPUT/);
 assert.deepEqual(
 messages.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'old-call' },
 { type: 'tool-result', toolCallId: 'old-call' },
 { type: 'tool-call', toolCallId: 'recent-call' },
 { type: 'tool-result', toolCallId: 'recent-call' },
 ],
 );
 });

 test('fails with input_too_large before dispatch when non-tool history cannot fit', async () => {
 let calls = 0;
 let modelResolutions = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => {
 modelResolutions += 1;
 return 'fake-model';
 },
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({
 role: 'user',
 author: 'user',
 content: { kind: 'text', text: 'x'.repeat(1_000) },
 }),
 ]),
 inputBudget: { maxEstimatedTokens: 10, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 assert.equal(modelResolutions, 0);
 });

 test('charges the summarization instructions against the input budget before dispatch', async () => {
 let calls = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => 'fake-model',
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'small history' } }),
 ]),
 inputBudget: { maxEstimatedTokens: 500, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 });

 test('stamped step ids decide membership over settledness', async () => {
 const seen: Array<{ messages: unknown[] }> = [];
 const generateText: AiSdkGenerateTextLike = async (opts) => {
Expand DownExpand Up@@ -494,6 +632,7 @@ describe('buildLlmHistorySummarizer', () => {
 ...input,
 previousCheckpoint,
 newlyFoldedRuntimeEvents: [newer],
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(result).toBe('rolled');
Expand Down

73 changes: 8 additions & 65 deletions
packages/runtime/src/__tests__/openai-codex-history-compactor.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,75 +1,18 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import type { ModelMessage } from '../model-protocol.js';
import {
 extractOpenAiCodexCompactionState,
 fitOpenAiCodexCompactionMessages,
} from '../openai-codex-history-compactor.js';

describe('OpenAI Codex history compaction input', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitOpenAiCodexCompactionMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });
test('preserves the provider-specific input-fitting export', () => {
 assert.deepEqual(
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 { maxInputEstimatedTokens: 1_000, charsPerToken: 1 },
 ),
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 );
});

describe('OpenAI Codex compaction output', () => {
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
fix(runtime): bound text history summarizer inputs#3113

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 Merged

M4n5ter
merged 2 commits into

from

Aug 16, 2026
 Merged


fix(runtime): bound text history summarizer inputs
#3113
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b121f75

fix(runtime): bound text history summarizer inputs


Sun-GLiang Aug 16, 2026
db344ac

test(runtime-host): bound compaction fixture input


Sun-GLiang Aug 16, 2026

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8 changes: 5 additions & 3 deletions
packages/runtime-host/src/__tests__/execution-model-composition.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1086,6 +1086,8 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 assert.equal(remembered.result.kind, 'committed');

 const turnIds: string[] = [];
 // Cross the history high-water without making the text-only compact input
 // exceed this fixture's 2,304-token summarizer budget.
 for (let index = 0; index < 5; index += 1) {
 const turnId = randomUUID();
 turnIds.push(turnId);
Expand All@@ -1094,10 +1096,10 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 session.id,
 turnId,
 index === 0
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(160)}`
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(128)}`
 : index === 1
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`,
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`,
 connectionContext,
 );
 const terminal = await waitForTerminal(
Expand Down

85 changes: 85 additions & 0 deletions
packages/runtime/src/__tests__/history-compact-input-fit.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import { fitHistoryCompactMessages } from '../history-compact-input-fit.js';
import type { ModelMessage } from '../model-protocol.js';

describe('history compaction input fitting', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitHistoryCompactMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });

 test('keeps the projection unchanged without a budget or when it already fits', () => {
 const messages: ModelMessage[] = [
 { role: 'user', content: [{ type: 'text', text: 'bounded history' }] },
 ];

 assert.deepEqual(fitHistoryCompactMessages(messages, {}), messages);
 assert.deepEqual(
 fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 1_000,
 charsPerToken: 1,
 }),
 messages,
 );
 });
});

145 changes: 142 additions & 3 deletions
packages/runtime/src/__tests__/history-compact-summarizer.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -15,6 +15,7 @@ import { ProviderRequestTracker } from '../provider-request-telemetry.js';
import type { HistoryCompactSummaryInput } from '../ai-sdk-compaction-contract.js';
import {
 buildLlmHistorySummarizer,
 HistoryCompactSummarizerError,
 type AiSdkGenerateTextLike,
} from '../history-compact-summarizer.js';
import { buildHistoryCompactCheckpoint } from '../history-compact-checkpoint.js';
Expand DownExpand Up@@ -57,9 +58,10 @@ describe('buildLlmHistorySummarizer', () => {
 },
 });

 await summarize(
 inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 );
 await summarize({
 ...inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(seen?.providerOptions).toBe(providerOptions);
 expect(seen?.maxOutputTokens).toBe(undefined);
Expand DownExpand Up@@ -342,6 +344,142 @@ describe('buildLlmHistorySummarizer', () => {
 ]);
 });

 test('bounds the oldest oversized tool result before dispatch while preserving newer context', async () => {
 let seen: Parameters<AiSdkGenerateTextLike>[0] | undefined;
 const generateText: AiSdkGenerateTextLike = async (options) => {
 seen = options;
 return { text: '## Goal\nX' };
 };
 const summarize = buildLlmHistorySummarizer({ resolveModel: () => 'fake-model', generateText });
 const oldToolOutput = 'OLD_OVERSIZED_TOOL_OUTPUT_'.repeat(1_024);
 const events: RuntimeEvent[] = [
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'function_call', id: 'old-call', name: 'read', args: { path: 'old.log' } },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'old-call',
 name: 'read',
 result: oldToolOutput,
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: {
 kind: 'function_call',
 id: 'recent-call',
 name: 'read',
 args: { path: 'recent.log' },
 },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'recent-call',
 name: 'read',
 result: 'RECENT_TOOL_RESULT',
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'text', text: 'LATEST_GROUNDED_CONTEXT' },
 }),
 ];

 await summarize({
 ...inputWith(events),
 inputBudget: { maxEstimatedTokens: 4_000, charsPerToken: 1 },
 });

 const messages = seen!.messages;
 const serialized = JSON.stringify(messages);
 assert.ok(serialized.length <= 4_000);
 assert.equal(serialized.includes(oldToolOutput), false);
 assert.match(serialized, /Tool output omitted/);
 assert.match(serialized, /RECENT_TOOL_RESULT/);
 assert.match(serialized, /LATEST_GROUNDED_CONTEXT/);
 assert.match(JSON.stringify(events), /OLD_OVERSIZED_TOOL_OUTPUT/);
 assert.deepEqual(
 messages.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'old-call' },
 { type: 'tool-result', toolCallId: 'old-call' },
 { type: 'tool-call', toolCallId: 'recent-call' },
 { type: 'tool-result', toolCallId: 'recent-call' },
 ],
 );
 });

 test('fails with input_too_large before dispatch when non-tool history cannot fit', async () => {
 let calls = 0;
 let modelResolutions = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => {
 modelResolutions += 1;
 return 'fake-model';
 },
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({
 role: 'user',
 author: 'user',
 content: { kind: 'text', text: 'x'.repeat(1_000) },
 }),
 ]),
 inputBudget: { maxEstimatedTokens: 10, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 assert.equal(modelResolutions, 0);
 });

 test('charges the summarization instructions against the input budget before dispatch', async () => {
 let calls = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => 'fake-model',
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'small history' } }),
 ]),
 inputBudget: { maxEstimatedTokens: 500, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 });

 test('stamped step ids decide membership over settledness', async () => {
 const seen: Array<{ messages: unknown[] }> = [];
 const generateText: AiSdkGenerateTextLike = async (opts) => {
Expand DownExpand Up@@ -494,6 +632,7 @@ describe('buildLlmHistorySummarizer', () => {
 ...input,
 previousCheckpoint,
 newlyFoldedRuntimeEvents: [newer],
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(result).toBe('rolled');
Expand Down

73 changes: 8 additions & 65 deletions
packages/runtime/src/__tests__/openai-codex-history-compactor.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,75 +1,18 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import type { ModelMessage } from '../model-protocol.js';
import {
 extractOpenAiCodexCompactionState,
 fitOpenAiCodexCompactionMessages,
} from '../openai-codex-history-compactor.js';

describe('OpenAI Codex history compaction input', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitOpenAiCodexCompactionMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });
test('preserves the provider-specific input-fitting export', () => {
 assert.deepEqual(
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 { maxInputEstimatedTokens: 1_000, charsPerToken: 1 },
 ),
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 );
});

describe('OpenAI Codex compaction output', () => {
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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fix(runtime): bound text history summarizer inputs#3113

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M4n5ter
merged 2 commits into

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Aug 16, 2026
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fix(runtime): bound text history summarizer inputs
#3113
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b121f75

fix(runtime): bound text history summarizer inputs


Sun-GLiang Aug 16, 2026
db344ac

test(runtime-host): bound compaction fixture input


Sun-GLiang Aug 16, 2026

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8 changes: 5 additions & 3 deletions
packages/runtime-host/src/__tests__/execution-model-composition.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1086,6 +1086,8 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 assert.equal(remembered.result.kind, 'committed');

 const turnIds: string[] = [];
 // Cross the history high-water without making the text-only compact input
 // exceed this fixture's 2,304-token summarizer budget.
 for (let index = 0; index < 5; index += 1) {
 const turnId = randomUUID();
 turnIds.push(turnId);
Expand All@@ -1094,10 +1096,10 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 session.id,
 turnId,
 index === 0
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(160)}`
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(128)}`
 : index === 1
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`,
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`,
 connectionContext,
 );
 const terminal = await waitForTerminal(
Expand Down

85 changes: 85 additions & 0 deletions
packages/runtime/src/__tests__/history-compact-input-fit.test.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import { fitHistoryCompactMessages } from '../history-compact-input-fit.js';
import type { ModelMessage } from '../model-protocol.js';

describe('history compaction input fitting', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitHistoryCompactMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });

 test('keeps the projection unchanged without a budget or when it already fits', () => {
 const messages: ModelMessage[] = [
 { role: 'user', content: [{ type: 'text', text: 'bounded history' }] },
 ];

 assert.deepEqual(fitHistoryCompactMessages(messages, {}), messages);
 assert.deepEqual(
 fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 1_000,
 charsPerToken: 1,
 }),
 messages,
 );
 });
});

145 changes: 142 additions & 3 deletions
packages/runtime/src/__tests__/history-compact-summarizer.test.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -15,6 +15,7 @@ import { ProviderRequestTracker } from '../provider-request-telemetry.js';
import type { HistoryCompactSummaryInput } from '../ai-sdk-compaction-contract.js';
import {
 buildLlmHistorySummarizer,
 HistoryCompactSummarizerError,
 type AiSdkGenerateTextLike,
} from '../history-compact-summarizer.js';
import { buildHistoryCompactCheckpoint } from '../history-compact-checkpoint.js';
Expand DownExpand Up@@ -57,9 +58,10 @@ describe('buildLlmHistorySummarizer', () => {
 },
 });

 await summarize(
 inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 );
 await summarize({
 ...inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(seen?.providerOptions).toBe(providerOptions);
 expect(seen?.maxOutputTokens).toBe(undefined);
Expand DownExpand Up@@ -342,6 +344,142 @@ describe('buildLlmHistorySummarizer', () => {
 ]);
 });

 test('bounds the oldest oversized tool result before dispatch while preserving newer context', async () => {
 let seen: Parameters<AiSdkGenerateTextLike>[0] | undefined;
 const generateText: AiSdkGenerateTextLike = async (options) => {
 seen = options;
 return { text: '## Goal\nX' };
 };
 const summarize = buildLlmHistorySummarizer({ resolveModel: () => 'fake-model', generateText });
 const oldToolOutput = 'OLD_OVERSIZED_TOOL_OUTPUT_'.repeat(1_024);
 const events: RuntimeEvent[] = [
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'function_call', id: 'old-call', name: 'read', args: { path: 'old.log' } },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'old-call',
 name: 'read',
 result: oldToolOutput,
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: {
 kind: 'function_call',
 id: 'recent-call',
 name: 'read',
 args: { path: 'recent.log' },
 },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'recent-call',
 name: 'read',
 result: 'RECENT_TOOL_RESULT',
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'text', text: 'LATEST_GROUNDED_CONTEXT' },
 }),
 ];

 await summarize({
 ...inputWith(events),
 inputBudget: { maxEstimatedTokens: 4_000, charsPerToken: 1 },
 });

 const messages = seen!.messages;
 const serialized = JSON.stringify(messages);
 assert.ok(serialized.length <= 4_000);
 assert.equal(serialized.includes(oldToolOutput), false);
 assert.match(serialized, /Tool output omitted/);
 assert.match(serialized, /RECENT_TOOL_RESULT/);
 assert.match(serialized, /LATEST_GROUNDED_CONTEXT/);
 assert.match(JSON.stringify(events), /OLD_OVERSIZED_TOOL_OUTPUT/);
 assert.deepEqual(
 messages.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'old-call' },
 { type: 'tool-result', toolCallId: 'old-call' },
 { type: 'tool-call', toolCallId: 'recent-call' },
 { type: 'tool-result', toolCallId: 'recent-call' },
 ],
 );
 });

 test('fails with input_too_large before dispatch when non-tool history cannot fit', async () => {
 let calls = 0;
 let modelResolutions = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => {
 modelResolutions += 1;
 return 'fake-model';
 },
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({
 role: 'user',
 author: 'user',
 content: { kind: 'text', text: 'x'.repeat(1_000) },
 }),
 ]),
 inputBudget: { maxEstimatedTokens: 10, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 assert.equal(modelResolutions, 0);
 });

 test('charges the summarization instructions against the input budget before dispatch', async () => {
 let calls = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => 'fake-model',
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'small history' } }),
 ]),
 inputBudget: { maxEstimatedTokens: 500, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 });

 test('stamped step ids decide membership over settledness', async () => {
 const seen: Array<{ messages: unknown[] }> = [];
 const generateText: AiSdkGenerateTextLike = async (opts) => {
Expand DownExpand Up@@ -494,6 +632,7 @@ describe('buildLlmHistorySummarizer', () => {
 ...input,
 previousCheckpoint,
 newlyFoldedRuntimeEvents: [newer],
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(result).toBe('rolled');
Expand Down

73 changes: 8 additions & 65 deletions
packages/runtime/src/__tests__/openai-codex-history-compactor.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,75 +1,18 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import type { ModelMessage } from '../model-protocol.js';
import {
 extractOpenAiCodexCompactionState,
 fitOpenAiCodexCompactionMessages,
} from '../openai-codex-history-compactor.js';

describe('OpenAI Codex history compaction input', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitOpenAiCodexCompactionMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });
test('preserves the provider-specific input-fitting export', () => {
 assert.deepEqual(
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 { maxInputEstimatedTokens: 1_000, charsPerToken: 1 },
 ),
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 );
});

describe('OpenAI Codex compaction output', () => {
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
fix(runtime): bound text history summarizer inputs#3113

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Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

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privacy statement. We’ll occasionally send you account related emails.

Already on GitHub?
Sign in
to your account

 Merged

M4n5ter
merged 2 commits into

from

Aug 16, 2026
 Merged


fix(runtime): bound text history summarizer inputs
#3113
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b121f75

fix(runtime): bound text history summarizer inputs


Sun-GLiang Aug 16, 2026
db344ac

test(runtime-host): bound compaction fixture input


Sun-GLiang Aug 16, 2026

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8 changes: 5 additions & 3 deletions
packages/runtime-host/src/__tests__/execution-model-composition.test.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1086,6 +1086,8 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 assert.equal(remembered.result.kind, 'committed');

 const turnIds: string[] = [];
 // Cross the history high-water without making the text-only compact input
 // exceed this fixture's 2,304-token summarizer budget.
 for (let index = 0; index < 5; index += 1) {
 const turnId = randomUUID();
 turnIds.push(turnId);
Expand All@@ -1094,10 +1096,10 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 session.id,
 turnId,
 index === 0
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(160)}`
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(128)}`
 : index === 1
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`,
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`,
 connectionContext,
 );
 const terminal = await waitForTerminal(
Expand Down

85 changes: 85 additions & 0 deletions
packages/runtime/src/__tests__/history-compact-input-fit.test.ts

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import { fitHistoryCompactMessages } from '../history-compact-input-fit.js';
import type { ModelMessage } from '../model-protocol.js';

describe('history compaction input fitting', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitHistoryCompactMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });

 test('keeps the projection unchanged without a budget or when it already fits', () => {
 const messages: ModelMessage[] = [
 { role: 'user', content: [{ type: 'text', text: 'bounded history' }] },
 ];

 assert.deepEqual(fitHistoryCompactMessages(messages, {}), messages);
 assert.deepEqual(
 fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 1_000,
 charsPerToken: 1,
 }),
 messages,
 );
 });
});

145 changes: 142 additions & 3 deletions
packages/runtime/src/__tests__/history-compact-summarizer.test.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -15,6 +15,7 @@ import { ProviderRequestTracker } from '../provider-request-telemetry.js';
import type { HistoryCompactSummaryInput } from '../ai-sdk-compaction-contract.js';
import {
 buildLlmHistorySummarizer,
 HistoryCompactSummarizerError,
 type AiSdkGenerateTextLike,
} from '../history-compact-summarizer.js';
import { buildHistoryCompactCheckpoint } from '../history-compact-checkpoint.js';
Expand DownExpand Up@@ -57,9 +58,10 @@ describe('buildLlmHistorySummarizer', () => {
 },
 });

 await summarize(
 inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 );
 await summarize({
 ...inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(seen?.providerOptions).toBe(providerOptions);
 expect(seen?.maxOutputTokens).toBe(undefined);
Expand DownExpand Up@@ -342,6 +344,142 @@ describe('buildLlmHistorySummarizer', () => {
 ]);
 });

 test('bounds the oldest oversized tool result before dispatch while preserving newer context', async () => {
 let seen: Parameters<AiSdkGenerateTextLike>[0] | undefined;
 const generateText: AiSdkGenerateTextLike = async (options) => {
 seen = options;
 return { text: '## Goal\nX' };
 };
 const summarize = buildLlmHistorySummarizer({ resolveModel: () => 'fake-model', generateText });
 const oldToolOutput = 'OLD_OVERSIZED_TOOL_OUTPUT_'.repeat(1_024);
 const events: RuntimeEvent[] = [
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'function_call', id: 'old-call', name: 'read', args: { path: 'old.log' } },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'old-call',
 name: 'read',
 result: oldToolOutput,
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: {
 kind: 'function_call',
 id: 'recent-call',
 name: 'read',
 args: { path: 'recent.log' },
 },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'recent-call',
 name: 'read',
 result: 'RECENT_TOOL_RESULT',
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'text', text: 'LATEST_GROUNDED_CONTEXT' },
 }),
 ];

 await summarize({
 ...inputWith(events),
 inputBudget: { maxEstimatedTokens: 4_000, charsPerToken: 1 },
 });

 const messages = seen!.messages;
 const serialized = JSON.stringify(messages);
 assert.ok(serialized.length <= 4_000);
 assert.equal(serialized.includes(oldToolOutput), false);
 assert.match(serialized, /Tool output omitted/);
 assert.match(serialized, /RECENT_TOOL_RESULT/);
 assert.match(serialized, /LATEST_GROUNDED_CONTEXT/);
 assert.match(JSON.stringify(events), /OLD_OVERSIZED_TOOL_OUTPUT/);
 assert.deepEqual(
 messages.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'old-call' },
 { type: 'tool-result', toolCallId: 'old-call' },
 { type: 'tool-call', toolCallId: 'recent-call' },
 { type: 'tool-result', toolCallId: 'recent-call' },
 ],
 );
 });

 test('fails with input_too_large before dispatch when non-tool history cannot fit', async () => {
 let calls = 0;
 let modelResolutions = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => {
 modelResolutions += 1;
 return 'fake-model';
 },
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({
 role: 'user',
 author: 'user',
 content: { kind: 'text', text: 'x'.repeat(1_000) },
 }),
 ]),
 inputBudget: { maxEstimatedTokens: 10, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 assert.equal(modelResolutions, 0);
 });

 test('charges the summarization instructions against the input budget before dispatch', async () => {
 let calls = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => 'fake-model',
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'small history' } }),
 ]),
 inputBudget: { maxEstimatedTokens: 500, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 });

 test('stamped step ids decide membership over settledness', async () => {
 const seen: Array<{ messages: unknown[] }> = [];
 const generateText: AiSdkGenerateTextLike = async (opts) => {
Expand DownExpand Up@@ -494,6 +632,7 @@ describe('buildLlmHistorySummarizer', () => {
 ...input,
 previousCheckpoint,
 newlyFoldedRuntimeEvents: [newer],
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(result).toBe('rolled');
Expand Down

73 changes: 8 additions & 65 deletions
packages/runtime/src/__tests__/openai-codex-history-compactor.test.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,75 +1,18 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import type { ModelMessage } from '../model-protocol.js';
import {
 extractOpenAiCodexCompactionState,
 fitOpenAiCodexCompactionMessages,
} from '../openai-codex-history-compactor.js';

describe('OpenAI Codex history compaction input', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitOpenAiCodexCompactionMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });
test('preserves the provider-specific input-fitting export', () => {
 assert.deepEqual(
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 { maxInputEstimatedTokens: 1_000, charsPerToken: 1 },
 ),
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 );
});

describe('OpenAI Codex compaction output', () => {
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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fix(runtime): bound text history summarizer inputs#3113

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M4n5ter
merged 2 commits into

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Aug 16, 2026
 Merged


fix(runtime): bound text history summarizer inputs
#3113
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b121f75

fix(runtime): bound text history summarizer inputs


Sun-GLiang Aug 16, 2026
db344ac

test(runtime-host): bound compaction fixture input


Sun-GLiang Aug 16, 2026

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8 changes: 5 additions & 3 deletions
packages/runtime-host/src/__tests__/execution-model-composition.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1086,6 +1086,8 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 assert.equal(remembered.result.kind, 'committed');

 const turnIds: string[] = [];
 // Cross the history high-water without making the text-only compact input
 // exceed this fixture's 2,304-token summarizer budget.
 for (let index = 0; index < 5; index += 1) {
 const turnId = randomUUID();
 turnIds.push(turnId);
Expand All@@ -1094,10 +1096,10 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 session.id,
 turnId,
 index === 0
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(160)}`
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(128)}`
 : index === 1
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`,
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`,
 connectionContext,
 );
 const terminal = await waitForTerminal(
Expand Down

85 changes: 85 additions & 0 deletions
packages/runtime/src/__tests__/history-compact-input-fit.test.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import { fitHistoryCompactMessages } from '../history-compact-input-fit.js';
import type { ModelMessage } from '../model-protocol.js';

describe('history compaction input fitting', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitHistoryCompactMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });

 test('keeps the projection unchanged without a budget or when it already fits', () => {
 const messages: ModelMessage[] = [
 { role: 'user', content: [{ type: 'text', text: 'bounded history' }] },
 ];

 assert.deepEqual(fitHistoryCompactMessages(messages, {}), messages);
 assert.deepEqual(
 fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 1_000,
 charsPerToken: 1,
 }),
 messages,
 );
 });
});

145 changes: 142 additions & 3 deletions
packages/runtime/src/__tests__/history-compact-summarizer.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -15,6 +15,7 @@ import { ProviderRequestTracker } from '../provider-request-telemetry.js';
import type { HistoryCompactSummaryInput } from '../ai-sdk-compaction-contract.js';
import {
 buildLlmHistorySummarizer,
 HistoryCompactSummarizerError,
 type AiSdkGenerateTextLike,
} from '../history-compact-summarizer.js';
import { buildHistoryCompactCheckpoint } from '../history-compact-checkpoint.js';
Expand DownExpand Up@@ -57,9 +58,10 @@ describe('buildLlmHistorySummarizer', () => {
 },
 });

 await summarize(
 inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 );
 await summarize({
 ...inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(seen?.providerOptions).toBe(providerOptions);
 expect(seen?.maxOutputTokens).toBe(undefined);
Expand DownExpand Up@@ -342,6 +344,142 @@ describe('buildLlmHistorySummarizer', () => {
 ]);
 });

 test('bounds the oldest oversized tool result before dispatch while preserving newer context', async () => {
 let seen: Parameters<AiSdkGenerateTextLike>[0] | undefined;
 const generateText: AiSdkGenerateTextLike = async (options) => {
 seen = options;
 return { text: '## Goal\nX' };
 };
 const summarize = buildLlmHistorySummarizer({ resolveModel: () => 'fake-model', generateText });
 const oldToolOutput = 'OLD_OVERSIZED_TOOL_OUTPUT_'.repeat(1_024);
 const events: RuntimeEvent[] = [
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'function_call', id: 'old-call', name: 'read', args: { path: 'old.log' } },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'old-call',
 name: 'read',
 result: oldToolOutput,
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: {
 kind: 'function_call',
 id: 'recent-call',
 name: 'read',
 args: { path: 'recent.log' },
 },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'recent-call',
 name: 'read',
 result: 'RECENT_TOOL_RESULT',
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'text', text: 'LATEST_GROUNDED_CONTEXT' },
 }),
 ];

 await summarize({
 ...inputWith(events),
 inputBudget: { maxEstimatedTokens: 4_000, charsPerToken: 1 },
 });

 const messages = seen!.messages;
 const serialized = JSON.stringify(messages);
 assert.ok(serialized.length <= 4_000);
 assert.equal(serialized.includes(oldToolOutput), false);
 assert.match(serialized, /Tool output omitted/);
 assert.match(serialized, /RECENT_TOOL_RESULT/);
 assert.match(serialized, /LATEST_GROUNDED_CONTEXT/);
 assert.match(JSON.stringify(events), /OLD_OVERSIZED_TOOL_OUTPUT/);
 assert.deepEqual(
 messages.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'old-call' },
 { type: 'tool-result', toolCallId: 'old-call' },
 { type: 'tool-call', toolCallId: 'recent-call' },
 { type: 'tool-result', toolCallId: 'recent-call' },
 ],
 );
 });

 test('fails with input_too_large before dispatch when non-tool history cannot fit', async () => {
 let calls = 0;
 let modelResolutions = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => {
 modelResolutions += 1;
 return 'fake-model';
 },
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({
 role: 'user',
 author: 'user',
 content: { kind: 'text', text: 'x'.repeat(1_000) },
 }),
 ]),
 inputBudget: { maxEstimatedTokens: 10, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 assert.equal(modelResolutions, 0);
 });

 test('charges the summarization instructions against the input budget before dispatch', async () => {
 let calls = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => 'fake-model',
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'small history' } }),
 ]),
 inputBudget: { maxEstimatedTokens: 500, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 });

 test('stamped step ids decide membership over settledness', async () => {
 const seen: Array<{ messages: unknown[] }> = [];
 const generateText: AiSdkGenerateTextLike = async (opts) => {
Expand DownExpand Up@@ -494,6 +632,7 @@ describe('buildLlmHistorySummarizer', () => {
 ...input,
 previousCheckpoint,
 newlyFoldedRuntimeEvents: [newer],
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(result).toBe('rolled');
Expand Down

73 changes: 8 additions & 65 deletions
packages/runtime/src/__tests__/openai-codex-history-compactor.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,75 +1,18 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import type { ModelMessage } from '../model-protocol.js';
import {
 extractOpenAiCodexCompactionState,
 fitOpenAiCodexCompactionMessages,
} from '../openai-codex-history-compactor.js';

describe('OpenAI Codex history compaction input', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitOpenAiCodexCompactionMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });
test('preserves the provider-specific input-fitting export', () => {
 assert.deepEqual(
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 { maxInputEstimatedTokens: 1_000, charsPerToken: 1 },
 ),
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 );
});

describe('OpenAI Codex compaction output', () => {
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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fix(runtime): bound text history summarizer inputs#3113

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M4n5ter
merged 2 commits into

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Aug 16, 2026
 Merged


fix(runtime): bound text history summarizer inputs
#3113
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b121f75

fix(runtime): bound text history summarizer inputs


Sun-GLiang Aug 16, 2026
db344ac

test(runtime-host): bound compaction fixture input


Sun-GLiang Aug 16, 2026

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8 changes: 5 additions & 3 deletions
packages/runtime-host/src/__tests__/execution-model-composition.test.ts

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -1086,6 +1086,8 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 assert.equal(remembered.result.kind, 'committed');

 const turnIds: string[] = [];
 // Cross the history high-water without making the text-only compact input
 // exceed this fixture's 2,304-token summarizer budget.
 for (let index = 0; index < 5; index += 1) {
 const turnId = randomUUID();
 turnIds.push(turnId);
Expand All@@ -1094,10 +1096,10 @@ test('production Host executes a canonical ai-sdk Session against a real provide
 session.id,
 turnId,
 index === 0
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(160)}`
 ? `Reply with the hosted execution result.${' HISTORY_PRESSURE'.repeat(128)}`
 : index === 1
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(160)}`,
 ? `/skill:hosted-skill Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`
 : `Continue hosted execution turn ${index}.${' HISTORY_PRESSURE'.repeat(128)}`,
 connectionContext,
 );
 const terminal = await waitForTerminal(
Expand Down

85 changes: 85 additions & 0 deletions
packages/runtime/src/__tests__/history-compact-input-fit.test.ts

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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,85 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import { fitHistoryCompactMessages } from '../history-compact-input-fit.js';
import type { ModelMessage } from '../model-protocol.js';

describe('history compaction input fitting', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitHistoryCompactMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });

 test('keeps the projection unchanged without a budget or when it already fits', () => {
 const messages: ModelMessage[] = [
 { role: 'user', content: [{ type: 'text', text: 'bounded history' }] },
 ];

 assert.deepEqual(fitHistoryCompactMessages(messages, {}), messages);
 assert.deepEqual(
 fitHistoryCompactMessages(messages, {
 maxInputEstimatedTokens: 1_000,
 charsPerToken: 1,
 }),
 messages,
 );
 });
});

145 changes: 142 additions & 3 deletions
packages/runtime/src/__tests__/history-compact-summarizer.test.ts

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Original file line numberDiff line numberDiff line change
Expand Up@@ -15,6 +15,7 @@ import { ProviderRequestTracker } from '../provider-request-telemetry.js';
import type { HistoryCompactSummaryInput } from '../ai-sdk-compaction-contract.js';
import {
 buildLlmHistorySummarizer,
 HistoryCompactSummarizerError,
 type AiSdkGenerateTextLike,
} from '../history-compact-summarizer.js';
import { buildHistoryCompactCheckpoint } from '../history-compact-checkpoint.js';
Expand DownExpand Up@@ -57,9 +58,10 @@ describe('buildLlmHistorySummarizer', () => {
 },
 });

 await summarize(
 inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 );
 await summarize({
 ...inputWith([ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'hi' } })]),
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(seen?.providerOptions).toBe(providerOptions);
 expect(seen?.maxOutputTokens).toBe(undefined);
Expand DownExpand Up@@ -342,6 +344,142 @@ describe('buildLlmHistorySummarizer', () => {
 ]);
 });

 test('bounds the oldest oversized tool result before dispatch while preserving newer context', async () => {
 let seen: Parameters<AiSdkGenerateTextLike>[0] | undefined;
 const generateText: AiSdkGenerateTextLike = async (options) => {
 seen = options;
 return { text: '## Goal\nX' };
 };
 const summarize = buildLlmHistorySummarizer({ resolveModel: () => 'fake-model', generateText });
 const oldToolOutput = 'OLD_OVERSIZED_TOOL_OUTPUT_'.repeat(1_024);
 const events: RuntimeEvent[] = [
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'function_call', id: 'old-call', name: 'read', args: { path: 'old.log' } },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'old-call',
 name: 'read',
 result: oldToolOutput,
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: {
 kind: 'function_call',
 id: 'recent-call',
 name: 'read',
 args: { path: 'recent.log' },
 },
 }),
 ev({
 role: 'tool',
 author: 'tool',
 content: {
 kind: 'function_response',
 id: 'recent-call',
 name: 'read',
 result: 'RECENT_TOOL_RESULT',
 },
 }),
 ev({
 role: 'model',
 author: 'agent',
 content: { kind: 'text', text: 'LATEST_GROUNDED_CONTEXT' },
 }),
 ];

 await summarize({
 ...inputWith(events),
 inputBudget: { maxEstimatedTokens: 4_000, charsPerToken: 1 },
 });

 const messages = seen!.messages;
 const serialized = JSON.stringify(messages);
 assert.ok(serialized.length <= 4_000);
 assert.equal(serialized.includes(oldToolOutput), false);
 assert.match(serialized, /Tool output omitted/);
 assert.match(serialized, /RECENT_TOOL_RESULT/);
 assert.match(serialized, /LATEST_GROUNDED_CONTEXT/);
 assert.match(JSON.stringify(events), /OLD_OVERSIZED_TOOL_OUTPUT/);
 assert.deepEqual(
 messages.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'old-call' },
 { type: 'tool-result', toolCallId: 'old-call' },
 { type: 'tool-call', toolCallId: 'recent-call' },
 { type: 'tool-result', toolCallId: 'recent-call' },
 ],
 );
 });

 test('fails with input_too_large before dispatch when non-tool history cannot fit', async () => {
 let calls = 0;
 let modelResolutions = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => {
 modelResolutions += 1;
 return 'fake-model';
 },
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({
 role: 'user',
 author: 'user',
 content: { kind: 'text', text: 'x'.repeat(1_000) },
 }),
 ]),
 inputBudget: { maxEstimatedTokens: 10, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 assert.equal(modelResolutions, 0);
 });

 test('charges the summarization instructions against the input budget before dispatch', async () => {
 let calls = 0;
 const summarize = buildLlmHistorySummarizer({
 resolveModel: () => 'fake-model',
 generateText: async () => {
 calls += 1;
 return { text: 'should not dispatch' };
 },
 });

 await assert.rejects(
 summarize({
 ...inputWith([
 ev({ role: 'user', author: 'user', content: { kind: 'text', text: 'small history' } }),
 ]),
 inputBudget: { maxEstimatedTokens: 500, charsPerToken: 1 },
 }),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 assert.equal(calls, 0);
 });

 test('stamped step ids decide membership over settledness', async () => {
 const seen: Array<{ messages: unknown[] }> = [];
 const generateText: AiSdkGenerateTextLike = async (opts) => {
Expand DownExpand Up@@ -494,6 +632,7 @@ describe('buildLlmHistorySummarizer', () => {
 ...input,
 previousCheckpoint,
 newlyFoldedRuntimeEvents: [newer],
 inputBudget: { maxEstimatedTokens: 10_000, charsPerToken: 1 },
 });

 expect(result).toBe('rolled');
Expand Down

73 changes: 8 additions & 65 deletions
packages/runtime/src/__tests__/openai-codex-history-compactor.test.ts

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Open in desktop

Original file line numberDiff line numberDiff line change
@@ -1,75 +1,18 @@
import assert from 'node:assert/strict';
import { describe, test } from 'node:test';
import { stableJsonLength } from '../context-budget-helpers.js';
import { HistoryCompactSummarizerError } from '../history-compact-error.js';
import type { ModelMessage } from '../model-protocol.js';
import {
 extractOpenAiCodexCompactionState,
 fitOpenAiCodexCompactionMessages,
} from '../openai-codex-history-compactor.js';

describe('OpenAI Codex history compaction input', () => {
 test('bounds oversized tool evidence without breaking the call/result pair', () => {
 const oversizedOutput = 'raw-tool-output-'.repeat(1_024);
 const messages: ModelMessage[] = [
 {
 role: 'assistant',
 content: [
 {
 type: 'tool-call',
 toolCallId: 'call-1',
 toolName: 'shell',
 input: { command: 'inspect' },
 },
 ],
 },
 {
 role: 'tool',
 content: [
 {
 type: 'tool-result',
 toolCallId: 'call-1',
 toolName: 'shell',
 output: { type: 'text', value: oversizedOutput },
 },
 ],
 },
 { role: 'assistant', content: [{ type: 'text', text: 'The inspection completed.' }] },
 ];

 const bounded = fitOpenAiCodexCompactionMessages(messages, {
 maxInputEstimatedTokens: 600,
 charsPerToken: 1,
 });

 assert.ok(stableJsonLength(bounded) <= 600);
 assert.equal(JSON.stringify(bounded).includes(oversizedOutput), false);
 assert.deepEqual(
 bounded.flatMap((message) =>
 typeof message.content === 'string'
 ? []
 : message.content
 .filter((part) => part.type === 'tool-call' || part.type === 'tool-result')
 .map((part) => ({ type: part.type, toolCallId: part.toolCallId })),
 ),
 [
 { type: 'tool-call', toolCallId: 'call-1' },
 { type: 'tool-result', toolCallId: 'call-1' },
 ],
 );
 });

 test('fails before dispatch when non-tool history cannot fit', () => {
 assert.throws(
 () =>
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'x'.repeat(1_000) }] }],
 { maxInputEstimatedTokens: 10, charsPerToken: 1 },
 ),
 (error) =>
 error instanceof HistoryCompactSummarizerError && error.reason === 'input_too_large',
 );
 });
test('preserves the provider-specific input-fitting export', () => {
 assert.deepEqual(
 fitOpenAiCodexCompactionMessages(
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 { maxInputEstimatedTokens: 1_000, charsPerToken: 1 },
 ),
 [{ role: 'user', content: [{ type: 'text', text: 'bounded history' }] }],
 );
});

describe('OpenAI Codex compaction output', () => {
Expand Down
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