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