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nicohrubec merged 1 commit into from
Nov 6, 2026
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test(node): collect TypeSafe spans across streamed envelopes #26151

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192 changes: 97 additions & 95 deletions dev-packages/node-integration-tests/suites/tracing/typesafe/test.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -26,110 +26,112 @@ describe('TypeSafe integration', () => {
])('%s instrumentation', (_, scenarioFile, instrumentFile, noRecordingInstrumentFile) => {
createEsmAndCjsTests(__dirname, scenarioFile, instrumentFile, (createRunner, test) => {
test('creates decide spans for systemOne', async () => {
await createRunner()
.unordered()
.expect({
span: container => {
const decideSpans = container.items.filter(span => span.attributes[SENTRY_OP]?.value === GEN_AI_DECIDE);
expect(decideSpans).toHaveLength(4);
for (const span of decideSpans) {
expect(span.attributes[SENTRY_ORIGIN]?.value).toBe('auto.ai.typesafe');
expect(span.attributes[GEN_AI_OPERATION_NAME]?.value).toBe('decide');
expect(span.attributes[GEN_AI_PROVIDER_NAME]?.value).toBe('typesafe');
}
const runner = createRunner();
const spansPromise = runner.collectStreamedSpans(
spans =>
spans.some(span => span.is_segment && span.name === 'main') &&
spans.filter(span => span.attributes[SENTRY_OP]?.value === GEN_AI_DECIDE).length >= 4,
);

const defaultModelSpan = decideSpans.find(span => span.name === 'decide jev-latest')!;
expect(defaultModelSpan).toBeDefined();
expect(defaultModelSpan.status).toBe('ok');
expect(defaultModelSpan.attributes[GEN_AI_REQUEST_MODEL]?.value).toBe('jev-latest');
expect(defaultModelSpan.attributes[GEN_AI_RESPONSE_MODEL]?.value).toBe('jev-1.13.0');
expect(defaultModelSpan.attributes[GEN_AI_USAGE_INPUT_TOKENS]?.value).toBe(275);
expect(defaultModelSpan.attributes[GEN_AI_USAGE_OUTPUT_TOKENS]?.value).toBe(20);
expect(defaultModelSpan.attributes[GEN_AI_USAGE_TOTAL_TOKENS]?.value).toBe(295);
expect(JSON.parse(defaultModelSpan.attributes[GEN_AI_INPUT_MESSAGES]?.value as string)).toEqual([
{
type: 'evaluation',
state: 'I cannot log in, and I also want a refund for last month.',
questions: {
authIssue: { type: 'noul', instructions: 'Is there a login problem?' },
department: {
type: 'choice',
instructions: 'Which team should handle this?',
criteria: { billing: 'Charges and refunds', technical: 'Bugs and outages' },
},
urgency: {
type: 'score',
instructions: 'How urgent is this ticket?',
criteria: ['low', 'medium', 'high'],
},
},
},
]);
expect(JSON.parse(defaultModelSpan.attributes[GEN_AI_OUTPUT_MESSAGES]?.value as string)).toEqual([
{
type: 'evaluation',
answers: {
authIssue: { type: 'noul', noul: 0.98 },
department: {
type: 'choice',
choice: 'billing',
confidence: 0.28,
probabilities: { billing: 0.64, technical: 0.36 },
},
urgency: {
type: 'score',
score: 1.58,
confidence: 0.9,
legend: { 0: 'low', 1: 'medium', 2: 'high' },
probabilities: { 0: 0, 1: 0.42, 2: 0.58 },
},
},
},
]);
await runner.start().completed();

const asResponseSpan = decideSpans.find(span => span.name === 'decide jev-1.13')!;
expect(asResponseSpan).toBeDefined();
expect(asResponseSpan.status).toBe('ok');
expect(asResponseSpan.attributes[GEN_AI_RESPONSE_MODEL]?.value).toBe('jev-1.13.0');
const decideSpans = (await spansPromise).filter(span => span.attributes[SENTRY_OP]?.value === GEN_AI_DECIDE);
expect(decideSpans).toHaveLength(4);
for (const span of decideSpans) {
expect(span.attributes[SENTRY_ORIGIN]?.value).toBe('auto.ai.typesafe');
expect(span.attributes[GEN_AI_OPERATION_NAME]?.value).toBe('decide');
expect(span.attributes[GEN_AI_PROVIDER_NAME]?.value).toBe('typesafe');
}

const errorSpan = decideSpans.find(span => span.name === 'decide error-model')!;
expect(errorSpan).toBeDefined();
expect(errorSpan.status).toBe('error');
expect(errorSpan.attributes[GEN_AI_RESPONSE_MODEL]).toBeUndefined();
expect(errorSpan.attributes[GEN_AI_OUTPUT_MESSAGES]).toBeUndefined();

const validationErrorSpan = decideSpans.find(span => span.name === 'decide validation-error')!;
expect(validationErrorSpan).toBeDefined();
expect(validationErrorSpan.status).toBe('error');
expect(validationErrorSpan.attributes[GEN_AI_OUTPUT_MESSAGES]).toBeUndefined();
const defaultModelSpan = decideSpans.find(span => span.name === 'decide jev-latest')!;
expect(defaultModelSpan).toBeDefined();
expect(defaultModelSpan.status).toBe('ok');
expect(defaultModelSpan.attributes[GEN_AI_REQUEST_MODEL]?.value).toBe('jev-latest');
expect(defaultModelSpan.attributes[GEN_AI_RESPONSE_MODEL]?.value).toBe('jev-1.13.0');
expect(defaultModelSpan.attributes[GEN_AI_USAGE_INPUT_TOKENS]?.value).toBe(275);
expect(defaultModelSpan.attributes[GEN_AI_USAGE_OUTPUT_TOKENS]?.value).toBe(20);
expect(defaultModelSpan.attributes[GEN_AI_USAGE_TOTAL_TOKENS]?.value).toBe(295);
expect(JSON.parse(defaultModelSpan.attributes[GEN_AI_INPUT_MESSAGES]?.value as string)).toEqual([
{
type: 'evaluation',
state: 'I cannot log in, and I also want a refund for last month.',
questions: {
authIssue: { type: 'noul', instructions: 'Is there a login problem?' },
department: {
type: 'choice',
instructions: 'Which team should handle this?',
criteria: { billing: 'Charges and refunds', technical: 'Bugs and outages' },
},
urgency: {
type: 'score',
instructions: 'How urgent is this ticket?',
criteria: ['low', 'medium', 'high'],
},
},
},
]);
expect(JSON.parse(defaultModelSpan.attributes[GEN_AI_OUTPUT_MESSAGES]?.value as string)).toEqual([
{
type: 'evaluation',
answers: {
authIssue: { type: 'noul', noul: 0.98 },
department: {
type: 'choice',
choice: 'billing',
confidence: 0.28,
probabilities: { billing: 0.64, technical: 0.36 },
},
urgency: {
type: 'score',
score: 1.58,
confidence: 0.9,
legend: { 0: 'low', 1: 'medium', 2: 'high' },
probabilities: { 0: 0, 1: 0.42, 2: 0.58 },
},
},
})
.start()
.completed();
},
]);

const asResponseSpan = decideSpans.find(span => span.name === 'decide jev-1.13')!;
expect(asResponseSpan).toBeDefined();
expect(asResponseSpan.status).toBe('ok');
expect(asResponseSpan.attributes[GEN_AI_RESPONSE_MODEL]?.value).toBe('jev-1.13.0');

const errorSpan = decideSpans.find(span => span.name === 'decide error-model')!;
expect(errorSpan).toBeDefined();
expect(errorSpan.status).toBe('error');
expect(errorSpan.attributes[GEN_AI_RESPONSE_MODEL]).toBeUndefined();
expect(errorSpan.attributes[GEN_AI_OUTPUT_MESSAGES]).toBeUndefined();

const validationErrorSpan = decideSpans.find(span => span.name === 'decide validation-error')!;
expect(validationErrorSpan).toBeDefined();
expect(validationErrorSpan.status).toBe('error');
expect(validationErrorSpan.attributes[GEN_AI_OUTPUT_MESSAGES]).toBeUndefined();
});
});

createEsmAndCjsTests(__dirname, scenarioFile, noRecordingInstrumentFile, (createRunner, test) => {
test('does not record inputs or outputs when recording is off', async () => {
await createRunner()
.unordered()
.expect({
span: container => {
const decideSpans = container.items.filter(span => span.attributes[SENTRY_OP]?.value === GEN_AI_DECIDE);
expect(decideSpans).toHaveLength(4);
expect(decideSpans.filter(span => span.status === 'error')).toHaveLength(2);
for (const span of decideSpans) {
expect(span.attributes[GEN_AI_INPUT_MESSAGES]).toBeUndefined();
expect(span.attributes[GEN_AI_OUTPUT_MESSAGES]).toBeUndefined();
// State, questions and answers must not come back through another attribute (e.g. an error message).
// Only the attributes are checked (timestamps could match a number), and `probabilities` only
// occurs in answers.
expect(JSON.stringify(span.attributes)).not.toMatch(/cannot log in|Charges and refunds|probabilities/);
}
},
})
.start()
.completed();
const runner = createRunner();
const spansPromise = runner.collectStreamedSpans(
spans =>
spans.some(span => span.is_segment && span.name === 'main') &&
spans.filter(span => span.attributes[SENTRY_OP]?.value === GEN_AI_DECIDE).length >= 4,
);

await runner.start().completed();

const decideSpans = (await spansPromise).filter(span => span.attributes[SENTRY_OP]?.value === GEN_AI_DECIDE);
expect(decideSpans).toHaveLength(4);
expect(decideSpans.filter(span => span.status === 'error')).toHaveLength(2);
for (const span of decideSpans) {
expect(span.attributes[GEN_AI_INPUT_MESSAGES]).toBeUndefined();
expect(span.attributes[GEN_AI_OUTPUT_MESSAGES]).toBeUndefined();
// State, questions and answers must not come back through another attribute (e.g. an error message).
// Only the attributes are checked (timestamps could match a number), and `probabilities` only
// occurs in answers.
expect(JSON.stringify(span.attributes)).not.toMatch(/cannot log in|Charges and refunds|probabilities/);
}
});
});
});
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