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const { GoogleGenerativeAI } = require("@google/generative-ai"); | |
const fs = require('fs'); | |
const path = require('path'); | |
// Import fetch if the SDK uses it | |
const originalFetch = global.fetch || require('node-fetch'); | |
let lastCallId; | |
// Monkey-patch the fetch used internally | |
global.fetch = async function patchedFetch(url, options) { | |
const response = await originalFetch(url, options); | |
// Store the call ID if it exists | |
lastCallId = response.headers.get('x-litellm-call-id'); | |
return response; | |
}; | |
describe('Gemini AI Tests', () => { | |
test('should successfully generate non-streaming content with tags', async () => { | |
const genAI = new GoogleGenerativeAI("sk-1234"); // litellm proxy API key | |
const requestOptions = { | |
baseUrl: 'http://127.0.0.1:4000/gemini', | |
customHeaders: { | |
"tags": "gemini-js-sdk,pass-through-endpoint" | |
} | |
}; | |
const model = genAI.getGenerativeModel({ | |
model: 'gemini-1.5-pro' | |
}, requestOptions); | |
const prompt = 'Say "hello test" and nothing else'; | |
const result = await model.generateContent(prompt); | |
expect(result).toBeDefined(); | |
// Use the captured callId | |
const callId = lastCallId; | |
console.log("Captured Call ID:", callId); | |
// Wait for spend to be logged | |
await new Promise(resolve => setTimeout(resolve, 15000)); | |
// Check spend logs | |
const spendResponse = await fetch( | |
`http://127.0.0.1:4000/spend/logs?request_id=${callId}`, | |
{ | |
headers: { | |
'Authorization': 'Bearer sk-1234' | |
} | |
} | |
); | |
const spendData = await spendResponse.json(); | |
console.log("spendData", spendData) | |
expect(spendData).toBeDefined(); | |
expect(spendData[0].request_id).toBe(callId); | |
expect(spendData[0].call_type).toBe('pass_through_endpoint'); | |
expect(spendData[0].request_tags).toEqual(['gemini-js-sdk', 'pass-through-endpoint']); | |
expect(spendData[0].metadata).toHaveProperty('user_api_key'); | |
expect(spendData[0].model).toContain('gemini'); | |
expect(spendData[0].custom_llm_provider).toBe('gemini'); | |
expect(spendData[0].spend).toBeGreaterThan(0); | |
}, 25000); | |
test('should successfully generate streaming content with tags', async () => { | |
const genAI = new GoogleGenerativeAI("sk-1234"); // litellm proxy API key | |
const requestOptions = { | |
baseUrl: 'http://127.0.0.1:4000/gemini', | |
customHeaders: { | |
"tags": "gemini-js-sdk,pass-through-endpoint" | |
} | |
}; | |
const model = genAI.getGenerativeModel({ | |
model: 'gemini-1.5-pro' | |
}, requestOptions); | |
const prompt = 'Say "hello test" and nothing else'; | |
const streamingResult = await model.generateContentStream(prompt); | |
expect(streamingResult).toBeDefined(); | |
for await (const chunk of streamingResult.stream) { | |
console.log('stream chunk:', JSON.stringify(chunk)); | |
expect(chunk).toBeDefined(); | |
} | |
const aggregatedResponse = await streamingResult.response; | |
console.log('aggregated response:', JSON.stringify(aggregatedResponse)); | |
expect(aggregatedResponse).toBeDefined(); | |
// Use the captured callId | |
const callId = lastCallId; | |
console.log("Captured Call ID:", callId); | |
// Wait for spend to be logged | |
await new Promise(resolve => setTimeout(resolve, 15000)); | |
// Check spend logs | |
const spendResponse = await fetch( | |
`http://127.0.0.1:4000/spend/logs?request_id=${callId}`, | |
{ | |
headers: { | |
'Authorization': 'Bearer sk-1234' | |
} | |
} | |
); | |
const spendData = await spendResponse.json(); | |
console.log("spendData", spendData) | |
expect(spendData).toBeDefined(); | |
expect(spendData[0].request_id).toBe(callId); | |
expect(spendData[0].call_type).toBe('pass_through_endpoint'); | |
expect(spendData[0].request_tags).toEqual(['gemini-js-sdk', 'pass-through-endpoint']); | |
expect(spendData[0].metadata).toHaveProperty('user_api_key'); | |
expect(spendData[0].model).toContain('gemini'); | |
expect(spendData[0].spend).toBeGreaterThan(0); | |
expect(spendData[0].custom_llm_provider).toBe('gemini'); | |
}, 25000); | |
}); | |