forked from phoenix/litellm-mirror
test vertex js
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4972415372
commit
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2 changed files with 80 additions and 1 deletions
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@ -1094,6 +1094,26 @@ jobs:
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working_directory: ~/project
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steps:
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- checkout
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# New steps to run Node.js test
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- run:
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name: Install Node.js
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command: |
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curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
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sudo apt-get install -y nodejs
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node --version
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npm --version
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- run:
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name: Install Node.js dependencies
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command: |
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npm install @google-cloud/vertexai
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npm install --save-dev jest
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- run:
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name: Run Vertex AI tests
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command: |
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npx jest tests/pass_through_tests/test_vertex.test.js --verbose
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no_output_timeout: 30m
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- run:
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name: Install Docker CLI (In case it's not already installed)
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command: |
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@ -1172,6 +1192,26 @@ jobs:
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- run:
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name: Wait for app to be ready
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command: dockerize -wait http://localhost:4000 -timeout 5m
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# New steps to run Node.js test
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- run:
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name: Install Node.js
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command: |
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curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash -
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sudo apt-get install -y nodejs
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node --version
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npm --version
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- run:
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name: Install Node.js dependencies
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command: |
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npm install @google-cloud/vertexai
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npm install --save-dev jest
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- run:
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name: Run Vertex AI tests
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command: |
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npx jest tests/pass_through_tests/test_vertex.test.js --verbose
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no_output_timeout: 30m
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- run:
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name: Run tests
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command: |
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@ -1179,7 +1219,6 @@ jobs:
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ls
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python -m pytest -vv tests/pass_through_tests/ -x --junitxml=test-results/junit.xml --durations=5
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no_output_timeout: 120m
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# Store test results
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- store_test_results:
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path: test-results
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40
tests/pass_through_tests/test_local_vertex.js
Normal file
40
tests/pass_through_tests/test_local_vertex.js
Normal file
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@ -0,0 +1,40 @@
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const { VertexAI, RequestOptions } = require('@google-cloud/vertexai');
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const vertexAI = new VertexAI({
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project: 'adroit-crow-413218',
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location: 'us-central1',
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apiEndpoint: "localhost:4000/vertex-ai"
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});
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// Create customHeaders using Headers
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const customHeaders = new Headers({
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"X-Litellm-Api-Key": "sk-1234"
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});
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// Use customHeaders in RequestOptions
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const requestOptions = {
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customHeaders: customHeaders
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};
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const generativeModel = vertexAI.getGenerativeModel(
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{ model: 'gemini-1.0-pro' },
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requestOptions
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);
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async function testModel() {
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try {
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const request = {
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contents: [{role: 'user', parts: [{text: 'How are you doing today tell me your name?'}]}],
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};
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const streamingResult = await generativeModel.generateContentStream(request);
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for await (const item of streamingResult.stream) {
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console.log('stream chunk: ', JSON.stringify(item));
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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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} catch (error) {
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console.error('Error:', error);
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}
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}
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testModel();
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