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* fix(security): hash the publicly known master key Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * docs: replace weak master key examples and regenerate artifacts Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test: replace weak key fixtures with generated test keys Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: generate master keys for proxy startup Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: preserve lens dev key entropy Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: restore proxy key compatibility in scrub examples Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix: scrub merged SSO fixture and refresh dashboard bundle Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(ci): stabilize test keys and metadata collection Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore: drop the rebuilt dashboard bundle Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> --------- Co-authored-by: mateo <mateo@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
46 lines
No EOL
1.3 KiB
JavaScript
46 lines
No EOL
1.3 KiB
JavaScript
const { VertexAI, RequestOptions } = require('@google-cloud/vertexai');
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const masterKey = process.env.LITELLM_MASTER_KEY;
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if (!masterKey) throw new Error("LITELLM_MASTER_KEY must be set");
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const vertexAI = new VertexAI({
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project: 'litellm-ci-cd',
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location: 'global',
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apiEndpoint: "127.0.0.1:4000/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": masterKey,
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tags: "vertexjs,test-2"
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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-3.1-flash-lite' },
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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(); |