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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,44 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*

# env files (can opt-in for committing if needed)
.env*

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts

# Sentry Config File
.env.sentry-build-plugin
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,93 @@
import { createServer } from 'node:http';

// A single mock server standing in for the OpenAI, Anthropic and Google GenAI HTTP APIs, so the real
// SDK clients emit gen_ai spans without any live credentials. Response bodies mirror the mock servers
// in the node-integration tests (suites/tracing/{openai,anthropic,google-genai}). Uses raw `node:http`
// (not express) so the mock doesn't itself get instrumented.

function readJson(req) {
return new Promise(resolve => {
let body = '';
req.on('data', chunk => (body += chunk));
req.on('end', () => {
try {
resolve(JSON.parse(body || '{}'));
} catch {
resolve({});
}
});
});
}

function sendJson(res, status, obj) {
res.writeHead(status, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(obj));
}

let serverPromise;

/** Lazily starts the shared mock server and resolves to its port. */
export function getMockAiPort() {
serverPromise ??= new Promise(resolve => {
const server = createServer(async (req, res) => {
const url = req.url || '';

// OpenAI: chat completions
if (req.method === 'POST' && url.endsWith('/openai/chat/completions')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'chatcmpl-mock123',
object: 'chat.completion',
created: 1677652288,
model,
choices: [
{ index: 0, message: { role: 'assistant', content: 'Hello from OpenAI mock!' }, finish_reason: 'stop' },
],
usage: { prompt_tokens: 10, completion_tokens: 15, total_tokens: 25 },
});
return;
}

// Anthropic: messages
if (req.method === 'POST' && url.endsWith('/anthropic/v1/messages')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'msg_mock123',
type: 'message',
model,
role: 'assistant',
content: [{ type: 'text', text: 'Hello from Anthropic mock!' }],
stop_reason: 'end_turn',
stop_sequence: null,
usage: { input_tokens: 10, output_tokens: 15 },
});
return;
}

// Google GenAI: generateContent (the model name is embedded in the path before `:generateContent`).
// Plain string checks avoid the polynomial-backtracking risk of a `.+` regex on the URL.
if (req.method === 'POST' && url.startsWith('/v1beta/models/') && url.endsWith(':generateContent')) {
await readJson(req);
sendJson(res, 200, {
candidates: [
{
content: { parts: [{ text: 'Mock response from Google GenAI!' }], role: 'model' },
finishReason: 'stop',
index: 0,
},
],
usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 12, totalTokenCount: 20 },
});
return;
}

res.writeHead(404).end();
});

server.listen(0, () => {
resolve(server.address().port);
});
});

return serverPromise;
}
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@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>DynamicLayout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,15 @@
export const dynamic = 'force-dynamic';

export default async function Page() {
return (
<div>
<p>Dynamic Page</p>
</div>
);
}

export async function generateMetadata() {
return {
title: 'I am dynamic page generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
export const dynamic = 'force-dynamic';

export default function Page() {
return <p>Hello World!</p>;
}

export async function generateMetadata() {
return {
title: 'I am generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,50 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

// Error trace handling in tool calls
async function runAITest() {
const result = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
throw new Error('Tool call failed');
},
},
},
prompt: 'What is the weather in San Francisco?',
});
}

export default async function Page() {
await Sentry.startSpan({ op: 'function', name: 'ai-error-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,98 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

async function runAITest() {
// First span - telemetry should be enabled automatically but no input/output recorded by default
const result1 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'First span here!',
}),
}),
prompt: 'Where is the first span?',
});

// Second span - explicitly enabled telemetry, should record inputs/outputs
const result2 = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Second span here!',
}),
}),
prompt: 'Where is the second span?',
});

// Third span - with tool calls and tool results
const result3 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
return `Weather in ${args.location}: Sunny, 72°F`;
},
},
},
prompt: 'What is the weather in San Francisco?',
});

// Fourth span - explicitly disabled telemetry, should not be captured
const result4 = await generateText({
experimental_telemetry: { isEnabled: false },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Third span here!',
}),
}),
prompt: 'Where is the third span?',
});

return {
result1: result1.text,
result2: result2.text,
result3: result3.text,
result4: result4.text,
};
}

export default async function Page() {
const results = await Sentry.startSpan({ op: 'function', name: 'ai-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
<pre id="ai-results">{JSON.stringify(results, null, 2)}</pre>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,5 @@
export const dynamic = 'force-dynamic';

export async function GET() {
throw new Error('Cron job error');
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,9 @@
import { NextResponse } from 'next/server';

export const dynamic = 'force-dynamic';

export async function GET() {
// Simulate some work
await new Promise(resolve => setTimeout(resolve, 100));
return NextResponse.json({ message: 'Cron job executed successfully' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,3 @@
export function GET() {
return Response.json({ name: 'John Doe' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,20 @@
import { NextResponse } from 'next/server';
import OpenAI from 'openai';
import { getMockAiPort } from '../../../ai-mock-server.mjs';

export const dynamic = 'force-dynamic';

export async function GET() {
const port = await getMockAiPort();
const client = new OpenAI({
baseURL: `http://localhost:${port}/openai`,
apiKey: 'mock-api-key',
});

await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

return NextResponse.json({ status: 'ok' });
}
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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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,44 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*

# env files (can opt-in for committing if needed)
.env*

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts

# Sentry Config File
.env.sentry-build-plugin
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,93 @@
import { createServer } from 'node:http';

// A single mock server standing in for the OpenAI, Anthropic and Google GenAI HTTP APIs, so the real
// SDK clients emit gen_ai spans without any live credentials. Response bodies mirror the mock servers
// in the node-integration tests (suites/tracing/{openai,anthropic,google-genai}). Uses raw `node:http`
// (not express) so the mock doesn't itself get instrumented.

function readJson(req) {
return new Promise(resolve => {
let body = '';
req.on('data', chunk => (body += chunk));
req.on('end', () => {
try {
resolve(JSON.parse(body || '{}'));
} catch {
resolve({});
}
});
});
}

function sendJson(res, status, obj) {
res.writeHead(status, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(obj));
}

let serverPromise;

/** Lazily starts the shared mock server and resolves to its port. */
export function getMockAiPort() {
serverPromise ??= new Promise(resolve => {
const server = createServer(async (req, res) => {
const url = req.url || '';

// OpenAI: chat completions
if (req.method === 'POST' && url.endsWith('/openai/chat/completions')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'chatcmpl-mock123',
object: 'chat.completion',
created: 1677652288,
model,
choices: [
{ index: 0, message: { role: 'assistant', content: 'Hello from OpenAI mock!' }, finish_reason: 'stop' },
],
usage: { prompt_tokens: 10, completion_tokens: 15, total_tokens: 25 },
});
return;
}

// Anthropic: messages
if (req.method === 'POST' && url.endsWith('/anthropic/v1/messages')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'msg_mock123',
type: 'message',
model,
role: 'assistant',
content: [{ type: 'text', text: 'Hello from Anthropic mock!' }],
stop_reason: 'end_turn',
stop_sequence: null,
usage: { input_tokens: 10, output_tokens: 15 },
});
return;
}

// Google GenAI: generateContent (the model name is embedded in the path before `:generateContent`).
// Plain string checks avoid the polynomial-backtracking risk of a `.+` regex on the URL.
if (req.method === 'POST' && url.startsWith('/v1beta/models/') && url.endsWith(':generateContent')) {
await readJson(req);
sendJson(res, 200, {
candidates: [
{
content: { parts: [{ text: 'Mock response from Google GenAI!' }], role: 'model' },
finishReason: 'stop',
index: 0,
},
],
usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 12, totalTokenCount: 20 },
});
return;
}

res.writeHead(404).end();
});

server.listen(0, () => {
resolve(server.address().port);
});
});

return serverPromise;
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>DynamicLayout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,15 @@
export const dynamic = 'force-dynamic';

export default async function Page() {
return (
<div>
<p>Dynamic Page</p>
</div>
);
}

export async function generateMetadata() {
return {
title: 'I am dynamic page generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
export const dynamic = 'force-dynamic';

export default function Page() {
return <p>Hello World!</p>;
}

export async function generateMetadata() {
return {
title: 'I am generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,50 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

// Error trace handling in tool calls
async function runAITest() {
const result = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
throw new Error('Tool call failed');
},
},
},
prompt: 'What is the weather in San Francisco?',
});
}

export default async function Page() {
await Sentry.startSpan({ op: 'function', name: 'ai-error-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,98 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

async function runAITest() {
// First span - telemetry should be enabled automatically but no input/output recorded by default
const result1 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'First span here!',
}),
}),
prompt: 'Where is the first span?',
});

// Second span - explicitly enabled telemetry, should record inputs/outputs
const result2 = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Second span here!',
}),
}),
prompt: 'Where is the second span?',
});

// Third span - with tool calls and tool results
const result3 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
return `Weather in ${args.location}: Sunny, 72°F`;
},
},
},
prompt: 'What is the weather in San Francisco?',
});

// Fourth span - explicitly disabled telemetry, should not be captured
const result4 = await generateText({
experimental_telemetry: { isEnabled: false },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Third span here!',
}),
}),
prompt: 'Where is the third span?',
});

return {
result1: result1.text,
result2: result2.text,
result3: result3.text,
result4: result4.text,
};
}

export default async function Page() {
const results = await Sentry.startSpan({ op: 'function', name: 'ai-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
<pre id="ai-results">{JSON.stringify(results, null, 2)}</pre>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,5 @@
export const dynamic = 'force-dynamic';

export async function GET() {
throw new Error('Cron job error');
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,9 @@
import { NextResponse } from 'next/server';

export const dynamic = 'force-dynamic';

export async function GET() {
// Simulate some work
await new Promise(resolve => setTimeout(resolve, 100));
return NextResponse.json({ message: 'Cron job executed successfully' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,3 @@
export function GET() {
return Response.json({ name: 'John Doe' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,20 @@
import { NextResponse } from 'next/server';
import OpenAI from 'openai';
import { getMockAiPort } from '../../../ai-mock-server.mjs';

export const dynamic = 'force-dynamic';

export async function GET() {
const port = await getMockAiPort();
const client = new OpenAI({
baseURL: `http://localhost:${port}/openai`,
apiKey: 'mock-api-key',
});

await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

return NextResponse.json({ status: 'ok' });
}
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('^' + ".*" + '
Skip to content
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,44 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*

# env files (can opt-in for committing if needed)
.env*

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts

# Sentry Config File
.env.sentry-build-plugin
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,93 @@
import { createServer } from 'node:http';

// A single mock server standing in for the OpenAI, Anthropic and Google GenAI HTTP APIs, so the real
// SDK clients emit gen_ai spans without any live credentials. Response bodies mirror the mock servers
// in the node-integration tests (suites/tracing/{openai,anthropic,google-genai}). Uses raw `node:http`
// (not express) so the mock doesn't itself get instrumented.

function readJson(req) {
return new Promise(resolve => {
let body = '';
req.on('data', chunk => (body += chunk));
req.on('end', () => {
try {
resolve(JSON.parse(body || '{}'));
} catch {
resolve({});
}
});
});
}

function sendJson(res, status, obj) {
res.writeHead(status, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(obj));
}

let serverPromise;

/** Lazily starts the shared mock server and resolves to its port. */
export function getMockAiPort() {
serverPromise ??= new Promise(resolve => {
const server = createServer(async (req, res) => {
const url = req.url || '';

// OpenAI: chat completions
if (req.method === 'POST' && url.endsWith('/openai/chat/completions')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'chatcmpl-mock123',
object: 'chat.completion',
created: 1677652288,
model,
choices: [
{ index: 0, message: { role: 'assistant', content: 'Hello from OpenAI mock!' }, finish_reason: 'stop' },
],
usage: { prompt_tokens: 10, completion_tokens: 15, total_tokens: 25 },
});
return;
}

// Anthropic: messages
if (req.method === 'POST' && url.endsWith('/anthropic/v1/messages')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'msg_mock123',
type: 'message',
model,
role: 'assistant',
content: [{ type: 'text', text: 'Hello from Anthropic mock!' }],
stop_reason: 'end_turn',
stop_sequence: null,
usage: { input_tokens: 10, output_tokens: 15 },
});
return;
}

// Google GenAI: generateContent (the model name is embedded in the path before `:generateContent`).
// Plain string checks avoid the polynomial-backtracking risk of a `.+` regex on the URL.
if (req.method === 'POST' && url.startsWith('/v1beta/models/') && url.endsWith(':generateContent')) {
await readJson(req);
sendJson(res, 200, {
candidates: [
{
content: { parts: [{ text: 'Mock response from Google GenAI!' }], role: 'model' },
finishReason: 'stop',
index: 0,
},
],
usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 12, totalTokenCount: 20 },
});
return;
}

res.writeHead(404).end();
});

server.listen(0, () => {
resolve(server.address().port);
});
});

return serverPromise;
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>DynamicLayout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,15 @@
export const dynamic = 'force-dynamic';

export default async function Page() {
return (
<div>
<p>Dynamic Page</p>
</div>
);
}

export async function generateMetadata() {
return {
title: 'I am dynamic page generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
export const dynamic = 'force-dynamic';

export default function Page() {
return <p>Hello World!</p>;
}

export async function generateMetadata() {
return {
title: 'I am generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,50 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

// Error trace handling in tool calls
async function runAITest() {
const result = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
throw new Error('Tool call failed');
},
},
},
prompt: 'What is the weather in San Francisco?',
});
}

export default async function Page() {
await Sentry.startSpan({ op: 'function', name: 'ai-error-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,98 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

async function runAITest() {
// First span - telemetry should be enabled automatically but no input/output recorded by default
const result1 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'First span here!',
}),
}),
prompt: 'Where is the first span?',
});

// Second span - explicitly enabled telemetry, should record inputs/outputs
const result2 = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Second span here!',
}),
}),
prompt: 'Where is the second span?',
});

// Third span - with tool calls and tool results
const result3 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
return `Weather in ${args.location}: Sunny, 72°F`;
},
},
},
prompt: 'What is the weather in San Francisco?',
});

// Fourth span - explicitly disabled telemetry, should not be captured
const result4 = await generateText({
experimental_telemetry: { isEnabled: false },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Third span here!',
}),
}),
prompt: 'Where is the third span?',
});

return {
result1: result1.text,
result2: result2.text,
result3: result3.text,
result4: result4.text,
};
}

export default async function Page() {
const results = await Sentry.startSpan({ op: 'function', name: 'ai-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
<pre id="ai-results">{JSON.stringify(results, null, 2)}</pre>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,5 @@
export const dynamic = 'force-dynamic';

export async function GET() {
throw new Error('Cron job error');
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,9 @@
import { NextResponse } from 'next/server';

export const dynamic = 'force-dynamic';

export async function GET() {
// Simulate some work
await new Promise(resolve => setTimeout(resolve, 100));
return NextResponse.json({ message: 'Cron job executed successfully' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,3 @@
export function GET() {
return Response.json({ name: 'John Doe' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,20 @@
import { NextResponse } from 'next/server';
import OpenAI from 'openai';
import { getMockAiPort } from '../../../ai-mock-server.mjs';

export const dynamic = 'force-dynamic';

export async function GET() {
const port = await getMockAiPort();
const client = new OpenAI({
baseURL: `http://localhost:${port}/openai`,
apiKey: 'mock-api-key',
});

await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

return NextResponse.json({ status: 'ok' });
}
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('^' + ".*" + '
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,44 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*

# env files (can opt-in for committing if needed)
.env*

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts

# Sentry Config File
.env.sentry-build-plugin
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,93 @@
import { createServer } from 'node:http';

// A single mock server standing in for the OpenAI, Anthropic and Google GenAI HTTP APIs, so the real
// SDK clients emit gen_ai spans without any live credentials. Response bodies mirror the mock servers
// in the node-integration tests (suites/tracing/{openai,anthropic,google-genai}). Uses raw `node:http`
// (not express) so the mock doesn't itself get instrumented.

function readJson(req) {
return new Promise(resolve => {
let body = '';
req.on('data', chunk => (body += chunk));
req.on('end', () => {
try {
resolve(JSON.parse(body || '{}'));
} catch {
resolve({});
}
});
});
}

function sendJson(res, status, obj) {
res.writeHead(status, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(obj));
}

let serverPromise;

/** Lazily starts the shared mock server and resolves to its port. */
export function getMockAiPort() {
serverPromise ??= new Promise(resolve => {
const server = createServer(async (req, res) => {
const url = req.url || '';

// OpenAI: chat completions
if (req.method === 'POST' && url.endsWith('/openai/chat/completions')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'chatcmpl-mock123',
object: 'chat.completion',
created: 1677652288,
model,
choices: [
{ index: 0, message: { role: 'assistant', content: 'Hello from OpenAI mock!' }, finish_reason: 'stop' },
],
usage: { prompt_tokens: 10, completion_tokens: 15, total_tokens: 25 },
});
return;
}

// Anthropic: messages
if (req.method === 'POST' && url.endsWith('/anthropic/v1/messages')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'msg_mock123',
type: 'message',
model,
role: 'assistant',
content: [{ type: 'text', text: 'Hello from Anthropic mock!' }],
stop_reason: 'end_turn',
stop_sequence: null,
usage: { input_tokens: 10, output_tokens: 15 },
});
return;
}

// Google GenAI: generateContent (the model name is embedded in the path before `:generateContent`).
// Plain string checks avoid the polynomial-backtracking risk of a `.+` regex on the URL.
if (req.method === 'POST' && url.startsWith('/v1beta/models/') && url.endsWith(':generateContent')) {
await readJson(req);
sendJson(res, 200, {
candidates: [
{
content: { parts: [{ text: 'Mock response from Google GenAI!' }], role: 'model' },
finishReason: 'stop',
index: 0,
},
],
usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 12, totalTokenCount: 20 },
});
return;
}

res.writeHead(404).end();
});

server.listen(0, () => {
resolve(server.address().port);
});
});

return serverPromise;
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>DynamicLayout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,15 @@
export const dynamic = 'force-dynamic';

export default async function Page() {
return (
<div>
<p>Dynamic Page</p>
</div>
);
}

export async function generateMetadata() {
return {
title: 'I am dynamic page generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
export const dynamic = 'force-dynamic';

export default function Page() {
return <p>Hello World!</p>;
}

export async function generateMetadata() {
return {
title: 'I am generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,50 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

// Error trace handling in tool calls
async function runAITest() {
const result = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
throw new Error('Tool call failed');
},
},
},
prompt: 'What is the weather in San Francisco?',
});
}

export default async function Page() {
await Sentry.startSpan({ op: 'function', name: 'ai-error-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,98 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

async function runAITest() {
// First span - telemetry should be enabled automatically but no input/output recorded by default
const result1 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'First span here!',
}),
}),
prompt: 'Where is the first span?',
});

// Second span - explicitly enabled telemetry, should record inputs/outputs
const result2 = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Second span here!',
}),
}),
prompt: 'Where is the second span?',
});

// Third span - with tool calls and tool results
const result3 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
return `Weather in ${args.location}: Sunny, 72°F`;
},
},
},
prompt: 'What is the weather in San Francisco?',
});

// Fourth span - explicitly disabled telemetry, should not be captured
const result4 = await generateText({
experimental_telemetry: { isEnabled: false },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Third span here!',
}),
}),
prompt: 'Where is the third span?',
});

return {
result1: result1.text,
result2: result2.text,
result3: result3.text,
result4: result4.text,
};
}

export default async function Page() {
const results = await Sentry.startSpan({ op: 'function', name: 'ai-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
<pre id="ai-results">{JSON.stringify(results, null, 2)}</pre>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,5 @@
export const dynamic = 'force-dynamic';

export async function GET() {
throw new Error('Cron job error');
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,9 @@
import { NextResponse } from 'next/server';

export const dynamic = 'force-dynamic';

export async function GET() {
// Simulate some work
await new Promise(resolve => setTimeout(resolve, 100));
return NextResponse.json({ message: 'Cron job executed successfully' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,3 @@
export function GET() {
return Response.json({ name: 'John Doe' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,20 @@
import { NextResponse } from 'next/server';
import OpenAI from 'openai';
import { getMockAiPort } from '../../../ai-mock-server.mjs';

export const dynamic = 'force-dynamic';

export async function GET() {
const port = await getMockAiPort();
const client = new OpenAI({
baseURL: `http://localhost:${port}/openai`,
apiKey: 'mock-api-key',
});

await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

return NextResponse.json({ status: 'ok' });
}
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" + '
Skip to content
Merged
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Hide file tree
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Commits
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Filter by extension

Filter by extension


Conversations
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,44 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*

# env files (can opt-in for committing if needed)
.env*

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts

# Sentry Config File
.env.sentry-build-plugin
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import { createServer } from 'node:http';

// A single mock server standing in for the OpenAI, Anthropic and Google GenAI HTTP APIs, so the real
// SDK clients emit gen_ai spans without any live credentials. Response bodies mirror the mock servers
// in the node-integration tests (suites/tracing/{openai,anthropic,google-genai}). Uses raw `node:http`
// (not express) so the mock doesn't itself get instrumented.

function readJson(req) {
return new Promise(resolve => {
let body = '';
req.on('data', chunk => (body += chunk));
req.on('end', () => {
try {
resolve(JSON.parse(body || '{}'));
} catch {
resolve({});
}
});
});
}

function sendJson(res, status, obj) {
res.writeHead(status, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(obj));
}

let serverPromise;

/** Lazily starts the shared mock server and resolves to its port. */
export function getMockAiPort() {
serverPromise ??= new Promise(resolve => {
const server = createServer(async (req, res) => {
const url = req.url || '';

// OpenAI: chat completions
if (req.method === 'POST' && url.endsWith('/openai/chat/completions')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'chatcmpl-mock123',
object: 'chat.completion',
created: 1677652288,
model,
choices: [
{ index: 0, message: { role: 'assistant', content: 'Hello from OpenAI mock!' }, finish_reason: 'stop' },
],
usage: { prompt_tokens: 10, completion_tokens: 15, total_tokens: 25 },
});
return;
}

// Anthropic: messages
if (req.method === 'POST' && url.endsWith('/anthropic/v1/messages')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'msg_mock123',
type: 'message',
model,
role: 'assistant',
content: [{ type: 'text', text: 'Hello from Anthropic mock!' }],
stop_reason: 'end_turn',
stop_sequence: null,
usage: { input_tokens: 10, output_tokens: 15 },
});
return;
}

// Google GenAI: generateContent (the model name is embedded in the path before `:generateContent`).
// Plain string checks avoid the polynomial-backtracking risk of a `.+` regex on the URL.
if (req.method === 'POST' && url.startsWith('/v1beta/models/') && url.endsWith(':generateContent')) {
await readJson(req);
sendJson(res, 200, {
candidates: [
{
content: { parts: [{ text: 'Mock response from Google GenAI!' }], role: 'model' },
finishReason: 'stop',
index: 0,
},
],
usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 12, totalTokenCount: 20 },
});
return;
}

res.writeHead(404).end();
});

server.listen(0, () => {
resolve(server.address().port);
});
});

return serverPromise;
}
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@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
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@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>DynamicLayout</p>
{children}
</div>
);
}
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@@ -0,0 +1,15 @@
export const dynamic = 'force-dynamic';

export default async function Page() {
return (
<div>
<p>Dynamic Page</p>
</div>
);
}

export async function generateMetadata() {
return {
title: 'I am dynamic page generated metadata',
};
}
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@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
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@@ -0,0 +1,11 @@
export const dynamic = 'force-dynamic';

export default function Page() {
return <p>Hello World!</p>;
}

export async function generateMetadata() {
return {
title: 'I am generated metadata',
};
}
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@@ -0,0 +1,50 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

// Error trace handling in tool calls
async function runAITest() {
const result = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
throw new Error('Tool call failed');
},
},
},
prompt: 'What is the weather in San Francisco?',
});
}

export default async function Page() {
await Sentry.startSpan({ op: 'function', name: 'ai-error-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
</div>
);
}
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import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

async function runAITest() {
// First span - telemetry should be enabled automatically but no input/output recorded by default
const result1 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'First span here!',
}),
}),
prompt: 'Where is the first span?',
});

// Second span - explicitly enabled telemetry, should record inputs/outputs
const result2 = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Second span here!',
}),
}),
prompt: 'Where is the second span?',
});

// Third span - with tool calls and tool results
const result3 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
return `Weather in ${args.location}: Sunny, 72°F`;
},
},
},
prompt: 'What is the weather in San Francisco?',
});

// Fourth span - explicitly disabled telemetry, should not be captured
const result4 = await generateText({
experimental_telemetry: { isEnabled: false },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Third span here!',
}),
}),
prompt: 'Where is the third span?',
});

return {
result1: result1.text,
result2: result2.text,
result3: result3.text,
result4: result4.text,
};
}

export default async function Page() {
const results = await Sentry.startSpan({ op: 'function', name: 'ai-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
<pre id="ai-results">{JSON.stringify(results, null, 2)}</pre>
</div>
);
}
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@@ -0,0 +1,5 @@
export const dynamic = 'force-dynamic';

export async function GET() {
throw new Error('Cron job error');
}
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@@ -0,0 +1,9 @@
import { NextResponse } from 'next/server';

export const dynamic = 'force-dynamic';

export async function GET() {
// Simulate some work
await new Promise(resolve => setTimeout(resolve, 100));
return NextResponse.json({ message: 'Cron job executed successfully' });
}
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@@ -0,0 +1,3 @@
export function GET() {
return Response.json({ name: 'John Doe' });
}
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@@ -0,0 +1,20 @@
import { NextResponse } from 'next/server';
import OpenAI from 'openai';
import { getMockAiPort } from '../../../ai-mock-server.mjs';

export const dynamic = 'force-dynamic';

export async function GET() {
const port = await getMockAiPort();
const client = new OpenAI({
baseURL: `http://localhost:${port}/openai`,
apiKey: 'mock-api-key',
});

await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

return NextResponse.json({ status: 'ok' });
}
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('^' + ".*" + '
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# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*

# env files (can opt-in for committing if needed)
.env*

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts

# Sentry Config File
.env.sentry-build-plugin
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,93 @@
import { createServer } from 'node:http';

// A single mock server standing in for the OpenAI, Anthropic and Google GenAI HTTP APIs, so the real
// SDK clients emit gen_ai spans without any live credentials. Response bodies mirror the mock servers
// in the node-integration tests (suites/tracing/{openai,anthropic,google-genai}). Uses raw `node:http`
// (not express) so the mock doesn't itself get instrumented.

function readJson(req) {
return new Promise(resolve => {
let body = '';
req.on('data', chunk => (body += chunk));
req.on('end', () => {
try {
resolve(JSON.parse(body || '{}'));
} catch {
resolve({});
}
});
});
}

function sendJson(res, status, obj) {
res.writeHead(status, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(obj));
}

let serverPromise;

/** Lazily starts the shared mock server and resolves to its port. */
export function getMockAiPort() {
serverPromise ??= new Promise(resolve => {
const server = createServer(async (req, res) => {
const url = req.url || '';

// OpenAI: chat completions
if (req.method === 'POST' && url.endsWith('/openai/chat/completions')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'chatcmpl-mock123',
object: 'chat.completion',
created: 1677652288,
model,
choices: [
{ index: 0, message: { role: 'assistant', content: 'Hello from OpenAI mock!' }, finish_reason: 'stop' },
],
usage: { prompt_tokens: 10, completion_tokens: 15, total_tokens: 25 },
});
return;
}

// Anthropic: messages
if (req.method === 'POST' && url.endsWith('/anthropic/v1/messages')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'msg_mock123',
type: 'message',
model,
role: 'assistant',
content: [{ type: 'text', text: 'Hello from Anthropic mock!' }],
stop_reason: 'end_turn',
stop_sequence: null,
usage: { input_tokens: 10, output_tokens: 15 },
});
return;
}

// Google GenAI: generateContent (the model name is embedded in the path before `:generateContent`).
// Plain string checks avoid the polynomial-backtracking risk of a `.+` regex on the URL.
if (req.method === 'POST' && url.startsWith('/v1beta/models/') && url.endsWith(':generateContent')) {
await readJson(req);
sendJson(res, 200, {
candidates: [
{
content: { parts: [{ text: 'Mock response from Google GenAI!' }], role: 'model' },
finishReason: 'stop',
index: 0,
},
],
usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 12, totalTokenCount: 20 },
});
return;
}

res.writeHead(404).end();
});

server.listen(0, () => {
resolve(server.address().port);
});
});

return serverPromise;
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>DynamicLayout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,15 @@
export const dynamic = 'force-dynamic';

export default async function Page() {
return (
<div>
<p>Dynamic Page</p>
</div>
);
}

export async function generateMetadata() {
return {
title: 'I am dynamic page generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
export const dynamic = 'force-dynamic';

export default function Page() {
return <p>Hello World!</p>;
}

export async function generateMetadata() {
return {
title: 'I am generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,50 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

// Error trace handling in tool calls
async function runAITest() {
const result = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
throw new Error('Tool call failed');
},
},
},
prompt: 'What is the weather in San Francisco?',
});
}

export default async function Page() {
await Sentry.startSpan({ op: 'function', name: 'ai-error-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,98 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

async function runAITest() {
// First span - telemetry should be enabled automatically but no input/output recorded by default
const result1 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'First span here!',
}),
}),
prompt: 'Where is the first span?',
});

// Second span - explicitly enabled telemetry, should record inputs/outputs
const result2 = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Second span here!',
}),
}),
prompt: 'Where is the second span?',
});

// Third span - with tool calls and tool results
const result3 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
return `Weather in ${args.location}: Sunny, 72°F`;
},
},
},
prompt: 'What is the weather in San Francisco?',
});

// Fourth span - explicitly disabled telemetry, should not be captured
const result4 = await generateText({
experimental_telemetry: { isEnabled: false },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Third span here!',
}),
}),
prompt: 'Where is the third span?',
});

return {
result1: result1.text,
result2: result2.text,
result3: result3.text,
result4: result4.text,
};
}

export default async function Page() {
const results = await Sentry.startSpan({ op: 'function', name: 'ai-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
<pre id="ai-results">{JSON.stringify(results, null, 2)}</pre>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,5 @@
export const dynamic = 'force-dynamic';

export async function GET() {
throw new Error('Cron job error');
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,9 @@
import { NextResponse } from 'next/server';

export const dynamic = 'force-dynamic';

export async function GET() {
// Simulate some work
await new Promise(resolve => setTimeout(resolve, 100));
return NextResponse.json({ message: 'Cron job executed successfully' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,3 @@
export function GET() {
return Response.json({ name: 'John Doe' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,20 @@
import { NextResponse } from 'next/server';
import OpenAI from 'openai';
import { getMockAiPort } from '../../../ai-mock-server.mjs';

export const dynamic = 'force-dynamic';

export async function GET() {
const port = await getMockAiPort();
const client = new OpenAI({
baseURL: `http://localhost:${port}/openai`,
apiKey: 'mock-api-key',
});

await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

return NextResponse.json({ status: 'ok' });
}
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('^' + ".*" + '
Skip to content
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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,44 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*

# env files (can opt-in for committing if needed)
.env*

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts

# Sentry Config File
.env.sentry-build-plugin
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,93 @@
import { createServer } from 'node:http';

// A single mock server standing in for the OpenAI, Anthropic and Google GenAI HTTP APIs, so the real
// SDK clients emit gen_ai spans without any live credentials. Response bodies mirror the mock servers
// in the node-integration tests (suites/tracing/{openai,anthropic,google-genai}). Uses raw `node:http`
// (not express) so the mock doesn't itself get instrumented.

function readJson(req) {
return new Promise(resolve => {
let body = '';
req.on('data', chunk => (body += chunk));
req.on('end', () => {
try {
resolve(JSON.parse(body || '{}'));
} catch {
resolve({});
}
});
});
}

function sendJson(res, status, obj) {
res.writeHead(status, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(obj));
}

let serverPromise;

/** Lazily starts the shared mock server and resolves to its port. */
export function getMockAiPort() {
serverPromise ??= new Promise(resolve => {
const server = createServer(async (req, res) => {
const url = req.url || '';

// OpenAI: chat completions
if (req.method === 'POST' && url.endsWith('/openai/chat/completions')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'chatcmpl-mock123',
object: 'chat.completion',
created: 1677652288,
model,
choices: [
{ index: 0, message: { role: 'assistant', content: 'Hello from OpenAI mock!' }, finish_reason: 'stop' },
],
usage: { prompt_tokens: 10, completion_tokens: 15, total_tokens: 25 },
});
return;
}

// Anthropic: messages
if (req.method === 'POST' && url.endsWith('/anthropic/v1/messages')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'msg_mock123',
type: 'message',
model,
role: 'assistant',
content: [{ type: 'text', text: 'Hello from Anthropic mock!' }],
stop_reason: 'end_turn',
stop_sequence: null,
usage: { input_tokens: 10, output_tokens: 15 },
});
return;
}

// Google GenAI: generateContent (the model name is embedded in the path before `:generateContent`).
// Plain string checks avoid the polynomial-backtracking risk of a `.+` regex on the URL.
if (req.method === 'POST' && url.startsWith('/v1beta/models/') && url.endsWith(':generateContent')) {
await readJson(req);
sendJson(res, 200, {
candidates: [
{
content: { parts: [{ text: 'Mock response from Google GenAI!' }], role: 'model' },
finishReason: 'stop',
index: 0,
},
],
usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 12, totalTokenCount: 20 },
});
return;
}

res.writeHead(404).end();
});

server.listen(0, () => {
resolve(server.address().port);
});
});

return serverPromise;
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>DynamicLayout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,15 @@
export const dynamic = 'force-dynamic';

export default async function Page() {
return (
<div>
<p>Dynamic Page</p>
</div>
);
}

export async function generateMetadata() {
return {
title: 'I am dynamic page generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
export const dynamic = 'force-dynamic';

export default function Page() {
return <p>Hello World!</p>;
}

export async function generateMetadata() {
return {
title: 'I am generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,50 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

// Error trace handling in tool calls
async function runAITest() {
const result = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
throw new Error('Tool call failed');
},
},
},
prompt: 'What is the weather in San Francisco?',
});
}

export default async function Page() {
await Sentry.startSpan({ op: 'function', name: 'ai-error-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,98 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

async function runAITest() {
// First span - telemetry should be enabled automatically but no input/output recorded by default
const result1 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'First span here!',
}),
}),
prompt: 'Where is the first span?',
});

// Second span - explicitly enabled telemetry, should record inputs/outputs
const result2 = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Second span here!',
}),
}),
prompt: 'Where is the second span?',
});

// Third span - with tool calls and tool results
const result3 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
return `Weather in ${args.location}: Sunny, 72°F`;
},
},
},
prompt: 'What is the weather in San Francisco?',
});

// Fourth span - explicitly disabled telemetry, should not be captured
const result4 = await generateText({
experimental_telemetry: { isEnabled: false },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Third span here!',
}),
}),
prompt: 'Where is the third span?',
});

return {
result1: result1.text,
result2: result2.text,
result3: result3.text,
result4: result4.text,
};
}

export default async function Page() {
const results = await Sentry.startSpan({ op: 'function', name: 'ai-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
<pre id="ai-results">{JSON.stringify(results, null, 2)}</pre>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,5 @@
export const dynamic = 'force-dynamic';

export async function GET() {
throw new Error('Cron job error');
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,9 @@
import { NextResponse } from 'next/server';

export const dynamic = 'force-dynamic';

export async function GET() {
// Simulate some work
await new Promise(resolve => setTimeout(resolve, 100));
return NextResponse.json({ message: 'Cron job executed successfully' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,3 @@
export function GET() {
return Response.json({ name: 'John Doe' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,20 @@
import { NextResponse } from 'next/server';
import OpenAI from 'openai';
import { getMockAiPort } from '../../../ai-mock-server.mjs';

export const dynamic = 'force-dynamic';

export async function GET() {
const port = await getMockAiPort();
const client = new OpenAI({
baseURL: `http://localhost:${port}/openai`,
apiKey: 'mock-api-key',
});

await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

return NextResponse.json({ status: 'ok' });
}
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, '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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Original file line numberDiff line numberDiff line change
@@ -0,0 +1,44 @@
# See https://help.github.com/articles/ignoring-files/ for more about ignoring files.

# dependencies
/node_modules
/.pnp
.pnp.*
.yarn/*
!.yarn/patches
!.yarn/plugins
!.yarn/releases
!.yarn/versions

# testing
/coverage

# next.js
/.next/
/out/

# production
/build

# misc
.DS_Store
*.pem

# debug
npm-debug.log*
yarn-debug.log*
yarn-error.log*
.pnpm-debug.log*

# env files (can opt-in for committing if needed)
.env*

# vercel
.vercel

# typescript
*.tsbuildinfo
next-env.d.ts

# Sentry Config File
.env.sentry-build-plugin
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,93 @@
import { createServer } from 'node:http';

// A single mock server standing in for the OpenAI, Anthropic and Google GenAI HTTP APIs, so the real
// SDK clients emit gen_ai spans without any live credentials. Response bodies mirror the mock servers
// in the node-integration tests (suites/tracing/{openai,anthropic,google-genai}). Uses raw `node:http`
// (not express) so the mock doesn't itself get instrumented.

function readJson(req) {
return new Promise(resolve => {
let body = '';
req.on('data', chunk => (body += chunk));
req.on('end', () => {
try {
resolve(JSON.parse(body || '{}'));
} catch {
resolve({});
}
});
});
}

function sendJson(res, status, obj) {
res.writeHead(status, { 'Content-Type': 'application/json' });
res.end(JSON.stringify(obj));
}

let serverPromise;

/** Lazily starts the shared mock server and resolves to its port. */
export function getMockAiPort() {
serverPromise ??= new Promise(resolve => {
const server = createServer(async (req, res) => {
const url = req.url || '';

// OpenAI: chat completions
if (req.method === 'POST' && url.endsWith('/openai/chat/completions')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'chatcmpl-mock123',
object: 'chat.completion',
created: 1677652288,
model,
choices: [
{ index: 0, message: { role: 'assistant', content: 'Hello from OpenAI mock!' }, finish_reason: 'stop' },
],
usage: { prompt_tokens: 10, completion_tokens: 15, total_tokens: 25 },
});
return;
}

// Anthropic: messages
if (req.method === 'POST' && url.endsWith('/anthropic/v1/messages')) {
const { model } = await readJson(req);
sendJson(res, 200, {
id: 'msg_mock123',
type: 'message',
model,
role: 'assistant',
content: [{ type: 'text', text: 'Hello from Anthropic mock!' }],
stop_reason: 'end_turn',
stop_sequence: null,
usage: { input_tokens: 10, output_tokens: 15 },
});
return;
}

// Google GenAI: generateContent (the model name is embedded in the path before `:generateContent`).
// Plain string checks avoid the polynomial-backtracking risk of a `.+` regex on the URL.
if (req.method === 'POST' && url.startsWith('/v1beta/models/') && url.endsWith(':generateContent')) {
await readJson(req);
sendJson(res, 200, {
candidates: [
{
content: { parts: [{ text: 'Mock response from Google GenAI!' }], role: 'model' },
finishReason: 'stop',
index: 0,
},
],
usageMetadata: { promptTokenCount: 8, candidatesTokenCount: 12, totalTokenCount: 20 },
});
return;
}

res.writeHead(404).end();
});

server.listen(0, () => {
resolve(server.address().port);
});
});

return serverPromise;
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>DynamicLayout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,15 @@
export const dynamic = 'force-dynamic';

export default async function Page() {
return (
<div>
<p>Dynamic Page</p>
</div>
);
}

export async function generateMetadata() {
return {
title: 'I am dynamic page generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,12 @@
import { PropsWithChildren } from 'react';

export const dynamic = 'force-dynamic';

export default function Layout({ children }: PropsWithChildren<{}>) {
return (
<div>
<p>Layout</p>
{children}
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,11 @@
export const dynamic = 'force-dynamic';

export default function Page() {
return <p>Hello World!</p>;
}

export async function generateMetadata() {
return {
title: 'I am generated metadata',
};
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,50 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

// Error trace handling in tool calls
async function runAITest() {
const result = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
throw new Error('Tool call failed');
},
},
},
prompt: 'What is the weather in San Francisco?',
});
}

export default async function Page() {
await Sentry.startSpan({ op: 'function', name: 'ai-error-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,98 @@
import { generateText } from 'ai';
import { MockLanguageModelV1 } from 'ai/test';
import { z } from 'zod';
import * as Sentry from '@sentry/nextjs';

export const dynamic = 'force-dynamic';

async function runAITest() {
// First span - telemetry should be enabled automatically but no input/output recorded by default
const result1 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'First span here!',
}),
}),
prompt: 'Where is the first span?',
});

// Second span - explicitly enabled telemetry, should record inputs/outputs
const result2 = await generateText({
experimental_telemetry: { isEnabled: true },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Second span here!',
}),
}),
prompt: 'Where is the second span?',
});

// Third span - with tool calls and tool results
const result3 = await generateText({
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'tool-calls',
usage: { promptTokens: 15, completionTokens: 25 },
text: 'Tool call completed!',
toolCalls: [
{
toolCallType: 'function',
toolCallId: 'call-1',
toolName: 'getWeather',
args: '{ "location": "San Francisco" }',
},
],
}),
}),
tools: {
getWeather: {
parameters: z.object({ location: z.string() }),
execute: async args => {
return `Weather in ${args.location}: Sunny, 72°F`;
},
},
},
prompt: 'What is the weather in San Francisco?',
});

// Fourth span - explicitly disabled telemetry, should not be captured
const result4 = await generateText({
experimental_telemetry: { isEnabled: false },
model: new MockLanguageModelV1({
doGenerate: async () => ({
rawCall: { rawPrompt: null, rawSettings: {} },
finishReason: 'stop',
usage: { promptTokens: 10, completionTokens: 20 },
text: 'Third span here!',
}),
}),
prompt: 'Where is the third span?',
});

return {
result1: result1.text,
result2: result2.text,
result3: result3.text,
result4: result4.text,
};
}

export default async function Page() {
const results = await Sentry.startSpan({ op: 'function', name: 'ai-test' }, async () => {
return await runAITest();
});

return (
<div>
<h1>AI Test Results</h1>
<pre id="ai-results">{JSON.stringify(results, null, 2)}</pre>
</div>
);
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,5 @@
export const dynamic = 'force-dynamic';

export async function GET() {
throw new Error('Cron job error');
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,9 @@
import { NextResponse } from 'next/server';

export const dynamic = 'force-dynamic';

export async function GET() {
// Simulate some work
await new Promise(resolve => setTimeout(resolve, 100));
return NextResponse.json({ message: 'Cron job executed successfully' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,3 @@
export function GET() {
return Response.json({ name: 'John Doe' });
}
Original file line numberDiff line numberDiff line change
@@ -0,0 +1,20 @@
import { NextResponse } from 'next/server';
import OpenAI from 'openai';
import { getMockAiPort } from '../../../ai-mock-server.mjs';

export const dynamic = 'force-dynamic';

export async function GET() {
const port = await getMockAiPort();
const client = new OpenAI({
baseURL: `http://localhost:${port}/openai`,
apiKey: 'mock-api-key',
});

await client.chat.completions.create({
model: 'gpt-3.5-turbo',
messages: [{ role: 'user', content: 'What is the capital of France?' }],
});

return NextResponse.json({ status: 'ok' });
}
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