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Original file line numberDiff line numberDiff line change
Expand Up@@ -49,10 +49,15 @@ async function run() {
const client = instrumentAnthropicAiClient(mockClient);

// Send the image showing the number 3
// Put the image in the last message so it doesn't get dropped
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'what number is this?',
},
{
role: 'user',
content: [
Expand All@@ -66,10 +71,6 @@ async function run() {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
],
temperature: 0.7,
});
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -48,12 +48,11 @@ async function run() {

const client = instrumentAnthropicAiClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.messages.create({
model: 'claude-3-haiku-20240307',
Expand All@@ -65,6 +64,20 @@ async function run() {
],
temperature: 0.7,
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 100,
messages: [
{ role: 'user', content: largeContent1 },
{ role: 'assistant', content: largeContent2 },
{ role: 'user', content: smallContent },
],
temperature: 0.7,
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -86,8 +86,7 @@ describe('Anthropic integration', () => {
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'gen_ai.request.max_tokens': 100,
'gen_ai.request.messages':
'[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.messages': '[{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.model': 'claude-3-haiku-20240307',
'gen_ai.request.temperature': 0.7,
'gen_ai.response.id': 'msg_mock123',
Expand DownExpand Up@@ -638,6 +637,7 @@ describe('Anthropic integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
Expand All@@ -653,6 +653,24 @@ describe('Anthropic integration', () => {
origin: 'auto.ai.anthropic',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'sentry.op': 'gen_ai.messages',
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'messages claude-3-haiku-20240307',
op: 'gen_ai.messages',
origin: 'auto.ai.anthropic',
status: 'ok',
}),
]),
},
})
Expand All@@ -677,6 +695,7 @@ describe('Anthropic integration', () => {
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Only the last message (with filtered media) should be kept
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
Expand All@@ -691,10 +710,6 @@ describe('Anthropic integration', () => {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
]),
}),
description: 'messages claude-3-haiku-20240307',
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,12 +43,11 @@ async function run() {

const client = instrumentGoogleGenAIClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.models.generateContent({
model: 'gemini-1.5-flash',
Expand All@@ -63,6 +62,23 @@ async function run() {
{ role: 'user', parts: [{ text: largeContent3 }] },
],
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.models.generateContent({
model: 'gemini-1.5-flash',
config: {
temperature: 0.7,
topP: 0.9,
maxOutputTokens: 100,
},
contents: [
{ role: 'user', parts: [{ text: largeContent1 }] },
{ role: 'model', parts: [{ text: largeContent2 }] },
{ role: 'user', parts: [{ text: smallContent }] },
],
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -94,9 +94,7 @@ describe('Google GenAI integration', () => {
'gen_ai.request.temperature': 0.8,
'gen_ai.request.top_p': 0.9,
'gen_ai.request.max_tokens': 150,
'gen_ai.request.messages': expect.stringMatching(
/\[\{"role":"system","content":"You are a friendly robot who likes to be funny."\},/,
), // Should include history when recordInputs: true
'gen_ai.request.messages': '[{"role":"user","parts":[{"text":"Hello, how are you?"}]}]',
}),
description: 'chat gemini-1.5-pro create',
op: 'gen_ai.chat',
Expand DownExpand Up@@ -504,6 +502,7 @@ describe('Google GenAI integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
Expand All@@ -521,6 +520,27 @@ describe('Google GenAI integration', () => {
origin: 'auto.ai.google_genai',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
'sentry.op': 'gen_ai.models',
'sentry.origin': 'auto.ai.google_genai',
'gen_ai.system': 'google_genai',
'gen_ai.request.model': 'gemini-1.5-flash',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
parts: [{ text: 'This is a small message that fits within the limit' }],
},
]),
}),
description: 'models gemini-1.5-flash',
op: 'gen_ai.models',
origin: 'auto.ai.google_genai',
status: 'ok',
}),
]),
},
})
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -198,6 +198,7 @@ describe('LangChain integration', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -213,6 +214,7 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -228,6 +230,24 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -241,6 +241,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -256,6 +257,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -271,6 +273,24 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -67,6 +67,12 @@ async function run() {
} catch {
// Error is expected and handled
}

// Third test: embeddings API with multiple inputs
await client.embeddings.create({
input: ['First input text', 'Second input text', 'Third input text'],
model: 'text-embedding-3-small',
});
});

server.close();
Expand Down
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, '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
Expand Up@@ -49,10 +49,15 @@ async function run() {
const client = instrumentAnthropicAiClient(mockClient);

// Send the image showing the number 3
// Put the image in the last message so it doesn't get dropped
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'what number is this?',
},
{
role: 'user',
content: [
Expand All@@ -66,10 +71,6 @@ async function run() {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
],
temperature: 0.7,
});
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -48,12 +48,11 @@ async function run() {

const client = instrumentAnthropicAiClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.messages.create({
model: 'claude-3-haiku-20240307',
Expand All@@ -65,6 +64,20 @@ async function run() {
],
temperature: 0.7,
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 100,
messages: [
{ role: 'user', content: largeContent1 },
{ role: 'assistant', content: largeContent2 },
{ role: 'user', content: smallContent },
],
temperature: 0.7,
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -86,8 +86,7 @@ describe('Anthropic integration', () => {
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'gen_ai.request.max_tokens': 100,
'gen_ai.request.messages':
'[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.messages': '[{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.model': 'claude-3-haiku-20240307',
'gen_ai.request.temperature': 0.7,
'gen_ai.response.id': 'msg_mock123',
Expand DownExpand Up@@ -638,6 +637,7 @@ describe('Anthropic integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
Expand All@@ -653,6 +653,24 @@ describe('Anthropic integration', () => {
origin: 'auto.ai.anthropic',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'sentry.op': 'gen_ai.messages',
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'messages claude-3-haiku-20240307',
op: 'gen_ai.messages',
origin: 'auto.ai.anthropic',
status: 'ok',
}),
]),
},
})
Expand All@@ -677,6 +695,7 @@ describe('Anthropic integration', () => {
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Only the last message (with filtered media) should be kept
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
Expand All@@ -691,10 +710,6 @@ describe('Anthropic integration', () => {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
]),
}),
description: 'messages claude-3-haiku-20240307',
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,12 +43,11 @@ async function run() {

const client = instrumentGoogleGenAIClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.models.generateContent({
model: 'gemini-1.5-flash',
Expand All@@ -63,6 +62,23 @@ async function run() {
{ role: 'user', parts: [{ text: largeContent3 }] },
],
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.models.generateContent({
model: 'gemini-1.5-flash',
config: {
temperature: 0.7,
topP: 0.9,
maxOutputTokens: 100,
},
contents: [
{ role: 'user', parts: [{ text: largeContent1 }] },
{ role: 'model', parts: [{ text: largeContent2 }] },
{ role: 'user', parts: [{ text: smallContent }] },
],
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -94,9 +94,7 @@ describe('Google GenAI integration', () => {
'gen_ai.request.temperature': 0.8,
'gen_ai.request.top_p': 0.9,
'gen_ai.request.max_tokens': 150,
'gen_ai.request.messages': expect.stringMatching(
/\[\{"role":"system","content":"You are a friendly robot who likes to be funny."\},/,
), // Should include history when recordInputs: true
'gen_ai.request.messages': '[{"role":"user","parts":[{"text":"Hello, how are you?"}]}]',
}),
description: 'chat gemini-1.5-pro create',
op: 'gen_ai.chat',
Expand DownExpand Up@@ -504,6 +502,7 @@ describe('Google GenAI integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
Expand All@@ -521,6 +520,27 @@ describe('Google GenAI integration', () => {
origin: 'auto.ai.google_genai',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
'sentry.op': 'gen_ai.models',
'sentry.origin': 'auto.ai.google_genai',
'gen_ai.system': 'google_genai',
'gen_ai.request.model': 'gemini-1.5-flash',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
parts: [{ text: 'This is a small message that fits within the limit' }],
},
]),
}),
description: 'models gemini-1.5-flash',
op: 'gen_ai.models',
origin: 'auto.ai.google_genai',
status: 'ok',
}),
]),
},
})
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -198,6 +198,7 @@ describe('LangChain integration', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -213,6 +214,7 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -228,6 +230,24 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -241,6 +241,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -256,6 +257,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -271,6 +273,24 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -67,6 +67,12 @@ async function run() {
} catch {
// Error is expected and handled
}

// Third test: embeddings API with multiple inputs
await client.embeddings.create({
input: ['First input text', 'Second input text', 'Third input text'],
model: 'text-embedding-3-small',
});
});

server.close();
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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Original file line numberDiff line numberDiff line change
Expand Up@@ -49,10 +49,15 @@ async function run() {
const client = instrumentAnthropicAiClient(mockClient);

// Send the image showing the number 3
// Put the image in the last message so it doesn't get dropped
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'what number is this?',
},
{
role: 'user',
content: [
Expand All@@ -66,10 +71,6 @@ async function run() {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
],
temperature: 0.7,
});
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -48,12 +48,11 @@ async function run() {

const client = instrumentAnthropicAiClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.messages.create({
model: 'claude-3-haiku-20240307',
Expand All@@ -65,6 +64,20 @@ async function run() {
],
temperature: 0.7,
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 100,
messages: [
{ role: 'user', content: largeContent1 },
{ role: 'assistant', content: largeContent2 },
{ role: 'user', content: smallContent },
],
temperature: 0.7,
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -86,8 +86,7 @@ describe('Anthropic integration', () => {
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'gen_ai.request.max_tokens': 100,
'gen_ai.request.messages':
'[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.messages': '[{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.model': 'claude-3-haiku-20240307',
'gen_ai.request.temperature': 0.7,
'gen_ai.response.id': 'msg_mock123',
Expand DownExpand Up@@ -638,6 +637,7 @@ describe('Anthropic integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
Expand All@@ -653,6 +653,24 @@ describe('Anthropic integration', () => {
origin: 'auto.ai.anthropic',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'sentry.op': 'gen_ai.messages',
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'messages claude-3-haiku-20240307',
op: 'gen_ai.messages',
origin: 'auto.ai.anthropic',
status: 'ok',
}),
]),
},
})
Expand All@@ -677,6 +695,7 @@ describe('Anthropic integration', () => {
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Only the last message (with filtered media) should be kept
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
Expand All@@ -691,10 +710,6 @@ describe('Anthropic integration', () => {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
]),
}),
description: 'messages claude-3-haiku-20240307',
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,12 +43,11 @@ async function run() {

const client = instrumentGoogleGenAIClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.models.generateContent({
model: 'gemini-1.5-flash',
Expand All@@ -63,6 +62,23 @@ async function run() {
{ role: 'user', parts: [{ text: largeContent3 }] },
],
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.models.generateContent({
model: 'gemini-1.5-flash',
config: {
temperature: 0.7,
topP: 0.9,
maxOutputTokens: 100,
},
contents: [
{ role: 'user', parts: [{ text: largeContent1 }] },
{ role: 'model', parts: [{ text: largeContent2 }] },
{ role: 'user', parts: [{ text: smallContent }] },
],
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -94,9 +94,7 @@ describe('Google GenAI integration', () => {
'gen_ai.request.temperature': 0.8,
'gen_ai.request.top_p': 0.9,
'gen_ai.request.max_tokens': 150,
'gen_ai.request.messages': expect.stringMatching(
/\[\{"role":"system","content":"You are a friendly robot who likes to be funny."\},/,
), // Should include history when recordInputs: true
'gen_ai.request.messages': '[{"role":"user","parts":[{"text":"Hello, how are you?"}]}]',
}),
description: 'chat gemini-1.5-pro create',
op: 'gen_ai.chat',
Expand DownExpand Up@@ -504,6 +502,7 @@ describe('Google GenAI integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
Expand All@@ -521,6 +520,27 @@ describe('Google GenAI integration', () => {
origin: 'auto.ai.google_genai',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
'sentry.op': 'gen_ai.models',
'sentry.origin': 'auto.ai.google_genai',
'gen_ai.system': 'google_genai',
'gen_ai.request.model': 'gemini-1.5-flash',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
parts: [{ text: 'This is a small message that fits within the limit' }],
},
]),
}),
description: 'models gemini-1.5-flash',
op: 'gen_ai.models',
origin: 'auto.ai.google_genai',
status: 'ok',
}),
]),
},
})
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -198,6 +198,7 @@ describe('LangChain integration', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -213,6 +214,7 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -228,6 +230,24 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -241,6 +241,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -256,6 +257,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -271,6 +273,24 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -67,6 +67,12 @@ async function run() {
} catch {
// Error is expected and handled
}

// Third test: embeddings API with multiple inputs
await client.embeddings.create({
input: ['First input text', 'Second input text', 'Third input text'],
model: 'text-embedding-3-small',
});
});

server.close();
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('^' + ".*" + '
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Original file line numberDiff line numberDiff line change
Expand Up@@ -49,10 +49,15 @@ async function run() {
const client = instrumentAnthropicAiClient(mockClient);

// Send the image showing the number 3
// Put the image in the last message so it doesn't get dropped
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'what number is this?',
},
{
role: 'user',
content: [
Expand All@@ -66,10 +71,6 @@ async function run() {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
],
temperature: 0.7,
});
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -48,12 +48,11 @@ async function run() {

const client = instrumentAnthropicAiClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.messages.create({
model: 'claude-3-haiku-20240307',
Expand All@@ -65,6 +64,20 @@ async function run() {
],
temperature: 0.7,
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 100,
messages: [
{ role: 'user', content: largeContent1 },
{ role: 'assistant', content: largeContent2 },
{ role: 'user', content: smallContent },
],
temperature: 0.7,
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -86,8 +86,7 @@ describe('Anthropic integration', () => {
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'gen_ai.request.max_tokens': 100,
'gen_ai.request.messages':
'[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.messages': '[{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.model': 'claude-3-haiku-20240307',
'gen_ai.request.temperature': 0.7,
'gen_ai.response.id': 'msg_mock123',
Expand DownExpand Up@@ -638,6 +637,7 @@ describe('Anthropic integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
Expand All@@ -653,6 +653,24 @@ describe('Anthropic integration', () => {
origin: 'auto.ai.anthropic',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'sentry.op': 'gen_ai.messages',
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'messages claude-3-haiku-20240307',
op: 'gen_ai.messages',
origin: 'auto.ai.anthropic',
status: 'ok',
}),
]),
},
})
Expand All@@ -677,6 +695,7 @@ describe('Anthropic integration', () => {
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Only the last message (with filtered media) should be kept
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
Expand All@@ -691,10 +710,6 @@ describe('Anthropic integration', () => {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
]),
}),
description: 'messages claude-3-haiku-20240307',
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,12 +43,11 @@ async function run() {

const client = instrumentGoogleGenAIClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.models.generateContent({
model: 'gemini-1.5-flash',
Expand All@@ -63,6 +62,23 @@ async function run() {
{ role: 'user', parts: [{ text: largeContent3 }] },
],
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.models.generateContent({
model: 'gemini-1.5-flash',
config: {
temperature: 0.7,
topP: 0.9,
maxOutputTokens: 100,
},
contents: [
{ role: 'user', parts: [{ text: largeContent1 }] },
{ role: 'model', parts: [{ text: largeContent2 }] },
{ role: 'user', parts: [{ text: smallContent }] },
],
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -94,9 +94,7 @@ describe('Google GenAI integration', () => {
'gen_ai.request.temperature': 0.8,
'gen_ai.request.top_p': 0.9,
'gen_ai.request.max_tokens': 150,
'gen_ai.request.messages': expect.stringMatching(
/\[\{"role":"system","content":"You are a friendly robot who likes to be funny."\},/,
), // Should include history when recordInputs: true
'gen_ai.request.messages': '[{"role":"user","parts":[{"text":"Hello, how are you?"}]}]',
}),
description: 'chat gemini-1.5-pro create',
op: 'gen_ai.chat',
Expand DownExpand Up@@ -504,6 +502,7 @@ describe('Google GenAI integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
Expand All@@ -521,6 +520,27 @@ describe('Google GenAI integration', () => {
origin: 'auto.ai.google_genai',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
'sentry.op': 'gen_ai.models',
'sentry.origin': 'auto.ai.google_genai',
'gen_ai.system': 'google_genai',
'gen_ai.request.model': 'gemini-1.5-flash',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
parts: [{ text: 'This is a small message that fits within the limit' }],
},
]),
}),
description: 'models gemini-1.5-flash',
op: 'gen_ai.models',
origin: 'auto.ai.google_genai',
status: 'ok',
}),
]),
},
})
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -198,6 +198,7 @@ describe('LangChain integration', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -213,6 +214,7 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -228,6 +230,24 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -241,6 +241,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -256,6 +257,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -271,6 +273,24 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -67,6 +67,12 @@ async function run() {
} catch {
// Error is expected and handled
}

// Third test: embeddings API with multiple inputs
await client.embeddings.create({
input: ['First input text', 'Second input text', 'Third input text'],
model: 'text-embedding-3-small',
});
});

server.close();
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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Original file line numberDiff line numberDiff line change
Expand Up@@ -49,10 +49,15 @@ async function run() {
const client = instrumentAnthropicAiClient(mockClient);

// Send the image showing the number 3
// Put the image in the last message so it doesn't get dropped
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'what number is this?',
},
{
role: 'user',
content: [
Expand All@@ -66,10 +71,6 @@ async function run() {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
],
temperature: 0.7,
});
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -48,12 +48,11 @@ async function run() {

const client = instrumentAnthropicAiClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.messages.create({
model: 'claude-3-haiku-20240307',
Expand All@@ -65,6 +64,20 @@ async function run() {
],
temperature: 0.7,
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 100,
messages: [
{ role: 'user', content: largeContent1 },
{ role: 'assistant', content: largeContent2 },
{ role: 'user', content: smallContent },
],
temperature: 0.7,
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -86,8 +86,7 @@ describe('Anthropic integration', () => {
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'gen_ai.request.max_tokens': 100,
'gen_ai.request.messages':
'[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.messages': '[{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.model': 'claude-3-haiku-20240307',
'gen_ai.request.temperature': 0.7,
'gen_ai.response.id': 'msg_mock123',
Expand DownExpand Up@@ -638,6 +637,7 @@ describe('Anthropic integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
Expand All@@ -653,6 +653,24 @@ describe('Anthropic integration', () => {
origin: 'auto.ai.anthropic',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'sentry.op': 'gen_ai.messages',
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'messages claude-3-haiku-20240307',
op: 'gen_ai.messages',
origin: 'auto.ai.anthropic',
status: 'ok',
}),
]),
},
})
Expand All@@ -677,6 +695,7 @@ describe('Anthropic integration', () => {
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Only the last message (with filtered media) should be kept
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
Expand All@@ -691,10 +710,6 @@ describe('Anthropic integration', () => {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
]),
}),
description: 'messages claude-3-haiku-20240307',
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,12 +43,11 @@ async function run() {

const client = instrumentGoogleGenAIClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.models.generateContent({
model: 'gemini-1.5-flash',
Expand All@@ -63,6 +62,23 @@ async function run() {
{ role: 'user', parts: [{ text: largeContent3 }] },
],
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.models.generateContent({
model: 'gemini-1.5-flash',
config: {
temperature: 0.7,
topP: 0.9,
maxOutputTokens: 100,
},
contents: [
{ role: 'user', parts: [{ text: largeContent1 }] },
{ role: 'model', parts: [{ text: largeContent2 }] },
{ role: 'user', parts: [{ text: smallContent }] },
],
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -94,9 +94,7 @@ describe('Google GenAI integration', () => {
'gen_ai.request.temperature': 0.8,
'gen_ai.request.top_p': 0.9,
'gen_ai.request.max_tokens': 150,
'gen_ai.request.messages': expect.stringMatching(
/\[\{"role":"system","content":"You are a friendly robot who likes to be funny."\},/,
), // Should include history when recordInputs: true
'gen_ai.request.messages': '[{"role":"user","parts":[{"text":"Hello, how are you?"}]}]',
}),
description: 'chat gemini-1.5-pro create',
op: 'gen_ai.chat',
Expand DownExpand Up@@ -504,6 +502,7 @@ describe('Google GenAI integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
Expand All@@ -521,6 +520,27 @@ describe('Google GenAI integration', () => {
origin: 'auto.ai.google_genai',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
'sentry.op': 'gen_ai.models',
'sentry.origin': 'auto.ai.google_genai',
'gen_ai.system': 'google_genai',
'gen_ai.request.model': 'gemini-1.5-flash',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
parts: [{ text: 'This is a small message that fits within the limit' }],
},
]),
}),
description: 'models gemini-1.5-flash',
op: 'gen_ai.models',
origin: 'auto.ai.google_genai',
status: 'ok',
}),
]),
},
})
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -198,6 +198,7 @@ describe('LangChain integration', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -213,6 +214,7 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -228,6 +230,24 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -241,6 +241,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -256,6 +257,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -271,6 +273,24 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -67,6 +67,12 @@ async function run() {
} catch {
// Error is expected and handled
}

// Third test: embeddings API with multiple inputs
await client.embeddings.create({
input: ['First input text', 'Second input text', 'Third input text'],
model: 'text-embedding-3-small',
});
});

server.close();
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('^' + ".*" + '
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Original file line numberDiff line numberDiff line change
Expand Up@@ -49,10 +49,15 @@ async function run() {
const client = instrumentAnthropicAiClient(mockClient);

// Send the image showing the number 3
// Put the image in the last message so it doesn't get dropped
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'what number is this?',
},
{
role: 'user',
content: [
Expand All@@ -66,10 +71,6 @@ async function run() {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
],
temperature: 0.7,
});
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -48,12 +48,11 @@ async function run() {

const client = instrumentAnthropicAiClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.messages.create({
model: 'claude-3-haiku-20240307',
Expand All@@ -65,6 +64,20 @@ async function run() {
],
temperature: 0.7,
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 100,
messages: [
{ role: 'user', content: largeContent1 },
{ role: 'assistant', content: largeContent2 },
{ role: 'user', content: smallContent },
],
temperature: 0.7,
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -86,8 +86,7 @@ describe('Anthropic integration', () => {
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'gen_ai.request.max_tokens': 100,
'gen_ai.request.messages':
'[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.messages': '[{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.model': 'claude-3-haiku-20240307',
'gen_ai.request.temperature': 0.7,
'gen_ai.response.id': 'msg_mock123',
Expand DownExpand Up@@ -638,6 +637,7 @@ describe('Anthropic integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
Expand All@@ -653,6 +653,24 @@ describe('Anthropic integration', () => {
origin: 'auto.ai.anthropic',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'sentry.op': 'gen_ai.messages',
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'messages claude-3-haiku-20240307',
op: 'gen_ai.messages',
origin: 'auto.ai.anthropic',
status: 'ok',
}),
]),
},
})
Expand All@@ -677,6 +695,7 @@ describe('Anthropic integration', () => {
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Only the last message (with filtered media) should be kept
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
Expand All@@ -691,10 +710,6 @@ describe('Anthropic integration', () => {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
]),
}),
description: 'messages claude-3-haiku-20240307',
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,12 +43,11 @@ async function run() {

const client = instrumentGoogleGenAIClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.models.generateContent({
model: 'gemini-1.5-flash',
Expand All@@ -63,6 +62,23 @@ async function run() {
{ role: 'user', parts: [{ text: largeContent3 }] },
],
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.models.generateContent({
model: 'gemini-1.5-flash',
config: {
temperature: 0.7,
topP: 0.9,
maxOutputTokens: 100,
},
contents: [
{ role: 'user', parts: [{ text: largeContent1 }] },
{ role: 'model', parts: [{ text: largeContent2 }] },
{ role: 'user', parts: [{ text: smallContent }] },
],
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -94,9 +94,7 @@ describe('Google GenAI integration', () => {
'gen_ai.request.temperature': 0.8,
'gen_ai.request.top_p': 0.9,
'gen_ai.request.max_tokens': 150,
'gen_ai.request.messages': expect.stringMatching(
/\[\{"role":"system","content":"You are a friendly robot who likes to be funny."\},/,
), // Should include history when recordInputs: true
'gen_ai.request.messages': '[{"role":"user","parts":[{"text":"Hello, how are you?"}]}]',
}),
description: 'chat gemini-1.5-pro create',
op: 'gen_ai.chat',
Expand DownExpand Up@@ -504,6 +502,7 @@ describe('Google GenAI integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
Expand All@@ -521,6 +520,27 @@ describe('Google GenAI integration', () => {
origin: 'auto.ai.google_genai',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
'sentry.op': 'gen_ai.models',
'sentry.origin': 'auto.ai.google_genai',
'gen_ai.system': 'google_genai',
'gen_ai.request.model': 'gemini-1.5-flash',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
parts: [{ text: 'This is a small message that fits within the limit' }],
},
]),
}),
description: 'models gemini-1.5-flash',
op: 'gen_ai.models',
origin: 'auto.ai.google_genai',
status: 'ok',
}),
]),
},
})
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -198,6 +198,7 @@ describe('LangChain integration', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -213,6 +214,7 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -228,6 +230,24 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -241,6 +241,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -256,6 +257,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -271,6 +273,24 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -67,6 +67,12 @@ async function run() {
} catch {
// Error is expected and handled
}

// Third test: embeddings API with multiple inputs
await client.embeddings.create({
input: ['First input text', 'Second input text', 'Third input text'],
model: 'text-embedding-3-small',
});
});

server.close();
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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Original file line numberDiff line numberDiff line change
Expand Up@@ -49,10 +49,15 @@ async function run() {
const client = instrumentAnthropicAiClient(mockClient);

// Send the image showing the number 3
// Put the image in the last message so it doesn't get dropped
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'what number is this?',
},
{
role: 'user',
content: [
Expand All@@ -66,10 +71,6 @@ async function run() {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
],
temperature: 0.7,
});
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -48,12 +48,11 @@ async function run() {

const client = instrumentAnthropicAiClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.messages.create({
model: 'claude-3-haiku-20240307',
Expand All@@ -65,6 +64,20 @@ async function run() {
],
temperature: 0.7,
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 100,
messages: [
{ role: 'user', content: largeContent1 },
{ role: 'assistant', content: largeContent2 },
{ role: 'user', content: smallContent },
],
temperature: 0.7,
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -86,8 +86,7 @@ describe('Anthropic integration', () => {
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'gen_ai.request.max_tokens': 100,
'gen_ai.request.messages':
'[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.messages': '[{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.model': 'claude-3-haiku-20240307',
'gen_ai.request.temperature': 0.7,
'gen_ai.response.id': 'msg_mock123',
Expand DownExpand Up@@ -638,6 +637,7 @@ describe('Anthropic integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
Expand All@@ -653,6 +653,24 @@ describe('Anthropic integration', () => {
origin: 'auto.ai.anthropic',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'sentry.op': 'gen_ai.messages',
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'messages claude-3-haiku-20240307',
op: 'gen_ai.messages',
origin: 'auto.ai.anthropic',
status: 'ok',
}),
]),
},
})
Expand All@@ -677,6 +695,7 @@ describe('Anthropic integration', () => {
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Only the last message (with filtered media) should be kept
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
Expand All@@ -691,10 +710,6 @@ describe('Anthropic integration', () => {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
]),
}),
description: 'messages claude-3-haiku-20240307',
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,12 +43,11 @@ async function run() {

const client = instrumentGoogleGenAIClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.models.generateContent({
model: 'gemini-1.5-flash',
Expand All@@ -63,6 +62,23 @@ async function run() {
{ role: 'user', parts: [{ text: largeContent3 }] },
],
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.models.generateContent({
model: 'gemini-1.5-flash',
config: {
temperature: 0.7,
topP: 0.9,
maxOutputTokens: 100,
},
contents: [
{ role: 'user', parts: [{ text: largeContent1 }] },
{ role: 'model', parts: [{ text: largeContent2 }] },
{ role: 'user', parts: [{ text: smallContent }] },
],
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -94,9 +94,7 @@ describe('Google GenAI integration', () => {
'gen_ai.request.temperature': 0.8,
'gen_ai.request.top_p': 0.9,
'gen_ai.request.max_tokens': 150,
'gen_ai.request.messages': expect.stringMatching(
/\[\{"role":"system","content":"You are a friendly robot who likes to be funny."\},/,
), // Should include history when recordInputs: true
'gen_ai.request.messages': '[{"role":"user","parts":[{"text":"Hello, how are you?"}]}]',
}),
description: 'chat gemini-1.5-pro create',
op: 'gen_ai.chat',
Expand DownExpand Up@@ -504,6 +502,7 @@ describe('Google GenAI integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
Expand All@@ -521,6 +520,27 @@ describe('Google GenAI integration', () => {
origin: 'auto.ai.google_genai',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
'sentry.op': 'gen_ai.models',
'sentry.origin': 'auto.ai.google_genai',
'gen_ai.system': 'google_genai',
'gen_ai.request.model': 'gemini-1.5-flash',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
parts: [{ text: 'This is a small message that fits within the limit' }],
},
]),
}),
description: 'models gemini-1.5-flash',
op: 'gen_ai.models',
origin: 'auto.ai.google_genai',
status: 'ok',
}),
]),
},
})
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -198,6 +198,7 @@ describe('LangChain integration', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -213,6 +214,7 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -228,6 +230,24 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -241,6 +241,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -256,6 +257,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -271,6 +273,24 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -67,6 +67,12 @@ async function run() {
} catch {
// Error is expected and handled
}

// Third test: embeddings API with multiple inputs
await client.embeddings.create({
input: ['First input text', 'Second input text', 'Third input text'],
model: 'text-embedding-3-small',
});
});

server.close();
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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Original file line numberDiff line numberDiff line change
Expand Up@@ -49,10 +49,15 @@ async function run() {
const client = instrumentAnthropicAiClient(mockClient);

// Send the image showing the number 3
// Put the image in the last message so it doesn't get dropped
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 1024,
messages: [
{
role: 'user',
content: 'what number is this?',
},
{
role: 'user',
content: [
Expand All@@ -66,10 +71,6 @@ async function run() {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
],
temperature: 0.7,
});
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -48,12 +48,11 @@ async function run() {

const client = instrumentAnthropicAiClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.messages.create({
model: 'claude-3-haiku-20240307',
Expand All@@ -65,6 +64,20 @@ async function run() {
],
temperature: 0.7,
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.messages.create({
model: 'claude-3-haiku-20240307',
max_tokens: 100,
messages: [
{ role: 'user', content: largeContent1 },
{ role: 'assistant', content: largeContent2 },
{ role: 'user', content: smallContent },
],
temperature: 0.7,
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -86,8 +86,7 @@ describe('Anthropic integration', () => {
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'gen_ai.request.max_tokens': 100,
'gen_ai.request.messages':
'[{"role":"system","content":"You are a helpful assistant."},{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.messages': '[{"role":"user","content":"What is the capital of France?"}]',
'gen_ai.request.model': 'claude-3-haiku-20240307',
'gen_ai.request.temperature': 0.7,
'gen_ai.response.id': 'msg_mock123',
Expand DownExpand Up@@ -638,6 +637,7 @@ describe('Anthropic integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
Expand All@@ -653,6 +653,24 @@ describe('Anthropic integration', () => {
origin: 'auto.ai.anthropic',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'messages',
'sentry.op': 'gen_ai.messages',
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'messages claude-3-haiku-20240307',
op: 'gen_ai.messages',
origin: 'auto.ai.anthropic',
status: 'ok',
}),
]),
},
})
Expand All@@ -677,6 +695,7 @@ describe('Anthropic integration', () => {
'sentry.origin': 'auto.ai.anthropic',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-haiku-20240307',
// Only the last message (with filtered media) should be kept
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
Expand All@@ -691,10 +710,6 @@ describe('Anthropic integration', () => {
},
],
},
{
role: 'user',
content: 'what number is this?',
},
]),
}),
description: 'messages claude-3-haiku-20240307',
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -43,12 +43,11 @@ async function run() {

const client = instrumentGoogleGenAIClient(mockClient);

// Create 3 large messages where:
// - First 2 messages are very large (will be dropped)
// - Last message is large but will be truncated to fit within the 20KB limit
// Test 1: Given an array of messages only the last message should be kept
// The last message should be truncated to fit within the 20KB limit
const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

await client.models.generateContent({
model: 'gemini-1.5-flash',
Expand All@@ -63,6 +62,23 @@ async function run() {
{ role: 'user', parts: [{ text: largeContent3 }] },
],
});

// Test 2: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await client.models.generateContent({
model: 'gemini-1.5-flash',
config: {
temperature: 0.7,
topP: 0.9,
maxOutputTokens: 100,
},
contents: [
{ role: 'user', parts: [{ text: largeContent1 }] },
{ role: 'model', parts: [{ text: largeContent2 }] },
{ role: 'user', parts: [{ text: smallContent }] },
],
});
});
}

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -94,9 +94,7 @@ describe('Google GenAI integration', () => {
'gen_ai.request.temperature': 0.8,
'gen_ai.request.top_p': 0.9,
'gen_ai.request.max_tokens': 150,
'gen_ai.request.messages': expect.stringMatching(
/\[\{"role":"system","content":"You are a friendly robot who likes to be funny."\},/,
), // Should include history when recordInputs: true
'gen_ai.request.messages': '[{"role":"user","parts":[{"text":"Hello, how are you?"}]}]',
}),
description: 'chat gemini-1.5-pro create',
op: 'gen_ai.chat',
Expand DownExpand Up@@ -504,6 +502,7 @@ describe('Google GenAI integration', () => {
transaction: {
transaction: 'main',
spans: expect.arrayContaining([
// First call: Last message is large and gets truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
Expand All@@ -521,6 +520,27 @@ describe('Google GenAI integration', () => {
origin: 'auto.ai.google_genai',
status: 'ok',
}),
// Second call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'models',
'sentry.op': 'gen_ai.models',
'sentry.origin': 'auto.ai.google_genai',
'gen_ai.system': 'google_genai',
'gen_ai.request.model': 'gemini-1.5-flash',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{
role: 'user',
parts: [{ text: 'This is a small message that fits within the limit' }],
},
]),
}),
description: 'models gemini-1.5-flash',
op: 'gen_ai.models',
origin: 'auto.ai.google_genai',
status: 'ok',
}),
]),
},
})
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -198,6 +198,7 @@ describe('LangChain integration', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -213,6 +214,7 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -228,6 +230,24 @@ describe('LangChain integration', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -51,17 +51,27 @@ async function run() {

const largeContent1 = 'A'.repeat(15000); // ~15KB
const largeContent2 = 'B'.repeat(15000); // ~15KB
const largeContent3 = 'C'.repeat(25000); // ~25KB (will be truncated)
const largeContent3 = 'C'.repeat(25000) + 'D'.repeat(25000); // ~50KB (will be truncated, only C's remain)

// Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3 + largeContent2);
// Test 1: Create one very large string that gets truncated to only include Cs
await model.invoke(largeContent3);

// Create an array of messages that gets truncated to only include the last message (result should again contain only Cs)
// Test 2: Create an array of messages that gets truncated to only include the last message
// The last message should be truncated to fit within the 20KB limit (result should again contain only Cs)
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: largeContent3 },
]);

// Test 3: Given an array of messages only the last message should be kept
// The last message is small, so it should be kept intact
const smallContent = 'This is a small message that fits within the limit';
await model.invoke([
{ role: 'system', content: largeContent1 },
{ role: 'user', content: largeContent2 },
{ role: 'user', content: smallContent },
]);
});

await Sentry.flush(2000);
Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -241,6 +241,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
const EXPECTED_TRANSACTION_MESSAGE_TRUNCATION = {
transaction: 'main',
spans: expect.arrayContaining([
// First call: String input truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -256,6 +257,7 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Second call: Array input, last message truncated (only C's remain, D's are cropped)
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
Expand All@@ -271,6 +273,24 @@ conditionalTest({ min: 20 })('LangChain integration (v1)', () => {
origin: 'auto.ai.langchain',
status: 'ok',
}),
// Third call: Last message is small and kept without truncation
expect.objectContaining({
data: expect.objectContaining({
'gen_ai.operation.name': 'chat',
'sentry.op': 'gen_ai.chat',
'sentry.origin': 'auto.ai.langchain',
'gen_ai.system': 'anthropic',
'gen_ai.request.model': 'claude-3-5-sonnet-20241022',
// Small message should be kept intact
'gen_ai.request.messages': JSON.stringify([
{ role: 'user', content: 'This is a small message that fits within the limit' },
]),
}),
description: 'chat claude-3-5-sonnet-20241022',
op: 'gen_ai.chat',
origin: 'auto.ai.langchain',
status: 'ok',
}),
]),
};

Expand Down
Original file line numberDiff line numberDiff line change
Expand Up@@ -67,6 +67,12 @@ async function run() {
} catch {
// Error is expected and handled
}

// Third test: embeddings API with multiple inputs
await client.embeddings.create({
input: ['First input text', 'Second input text', 'Third input text'],
model: 'text-embedding-3-small',
});
});

server.close();
Expand Down
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