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Aug 14, 2024
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2 changes: 1 addition & 1 deletion package.json
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
{
"name": "@literalai/client",
"version": "0.0.513",
"version": "0.0.514",
"description": "",
"exports": {
".": {
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11 changes: 7 additions & 4 deletions src/instrumentation/vercel-sdk.ts
Original file line number Diff line number Diff line change
Expand Up @@ -256,13 +256,16 @@ export const makeInstrumentVercelSDK = (
type TOptions = Options<TFunction>;
type TResult = Result<TFunction>;

return async (
options: TOptions & { literalAiParent?: Step | Thread }
): Promise<TResult> => {
const { literalAiParent: parent, ...originalOptions } = options;
return async (options: TOptions): Promise<TResult> => {
const { ...originalOptions } = options;
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nit: no need to reallocate options

Suggested change
const { ...originalOptions } = options;

const startTime = Date.now();
const result: TResult = await (fn as any)(originalOptions);

const threadFromStore = client._currentThread();
const stepFromStore = client._currentStep();

const parent = stepFromStore || threadFromStore;

// Fork the stream to compute metrics
let stream: ReadableStream<OriginalStreamPart>;
if ('originalStream' in result) {
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73 changes: 36 additions & 37 deletions tests/integration/vercel-sdk.test.ts
Original file line number Diff line number Diff line change
Expand Up @@ -204,44 +204,43 @@ describe('Vercel SDK Instrumentation', () => {
it('should observe on a given thread', async () => {
const spy = jest.spyOn(client.api, 'sendSteps');

const thread = await client.thread({ name: 'VercelSDK Test' }).upsert();

const generateTextWithLiteralAI =
client.instrumentation.vercel.instrument(generateText);

const result = await generateTextWithLiteralAI({
model: openai('gpt-3.5-turbo'),
prompt: 'Write a vegetarian lasagna recipe for 4 people.',
literalAiParent: thread
await client.thread({ name: 'VercelSDK Test' }).wrap(async () => {
const generateTextWithLiteralAI =
client.instrumentation.vercel.instrument(generateText);

const result = await generateTextWithLiteralAI({
model: openai('gpt-3.5-turbo'),
prompt: 'Write a vegetarian lasagna recipe for 4 people.'
});

expect(result.text).toBeTruthy();

// Sending message is done asynchronously
await new Promise((resolve) => setTimeout(resolve, 10));

expect(spy).toHaveBeenCalledWith([
expect.objectContaining({
type: 'llm',
name: 'gpt-3.5-turbo',
threadId: client._currentThread()?.id,
generation: expect.any(Object),
input: {
content: [
{
role: 'user',
content: [
{
text: 'Write a vegetarian lasagna recipe for 4 people.',
type: 'text'
}
]
}
]
},
output: { role: 'assistant', content: result.text }
})
]);
});

expect(result.text).toBeTruthy();

// Sending message is done asynchronously
await new Promise((resolve) => setTimeout(resolve, 10));

expect(spy).toHaveBeenCalledWith([
expect.objectContaining({
type: 'llm',
name: 'gpt-3.5-turbo',
threadId: thread.id,
generation: expect.any(Object),
input: {
content: [
{
role: 'user',
content: [
{
text: 'Write a vegetarian lasagna recipe for 4 people.',
type: 'text'
}
]
}
]
},
output: { role: 'assistant', content: result.text }
})
]);
});

it('should monitor tools', async () => {
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