|
| 1 | +/* eslint-disable no-console */ |
| 2 | +import { openai } from '@ai-sdk/openai'; |
| 3 | +import { generateText, streamText } from 'ai'; |
| 4 | +import { init, type LDClient, type LDContext } from '@launchdarkly/node-server-sdk'; |
| 5 | +import { initAi } from '@launchdarkly/server-sdk-ai'; |
| 6 | + |
| 7 | +// Environment variables |
| 8 | +const sdkKey = process.env.LAUNCHDARKLY_SDK_KEY ?? ''; |
| 9 | +const aiConfigKey = process.env.LAUNCHDARKLY_AI_CONFIG_KEY || 'sample-ai-config'; |
| 10 | + |
| 11 | +// Validate required environment variables |
| 12 | +if (!sdkKey) { |
| 13 | + console.error('*** Please set the LAUNCHDARKLY_SDK_KEY env first'); |
| 14 | + process.exit(1); |
| 15 | +} |
| 16 | + |
| 17 | +if (!aiConfigKey) { |
| 18 | + console.error('*** Please set the LAUNCHDARKLY_AI_CONFIG_KEY env first'); |
| 19 | + process.exit(1); |
| 20 | +} |
| 21 | + |
| 22 | +let client: LDClient | undefined; |
| 23 | + |
| 24 | +async function main() { |
| 25 | + // Initialize LaunchDarkly client |
| 26 | + client = init(sdkKey); |
| 27 | + |
| 28 | + // Set up the context properties. This context should appear on your LaunchDarkly contexts dashboard |
| 29 | + const context: LDContext = { |
| 30 | + kind: 'user', |
| 31 | + key: 'example-user-key', |
| 32 | + name: 'Sandy', |
| 33 | + }; |
| 34 | + |
| 35 | + try { |
| 36 | + await client.waitForInitialization({ timeout: 10 }); |
| 37 | + console.log('*** SDK successfully initialized'); |
| 38 | + } catch (error) { |
| 39 | + console.log(`*** SDK failed to initialize: ${error}`); |
| 40 | + process.exit(1); |
| 41 | + } |
| 42 | + |
| 43 | + const aiClient = initAi(client); |
| 44 | + |
| 45 | + // Get AI configuration from LaunchDarkly |
| 46 | + const aiConfig = await aiClient.config(aiConfigKey, context, { model: { name: 'gpt-4' } }); |
| 47 | + |
| 48 | + if (!aiConfig.enabled) { |
| 49 | + console.log('*** AI configuration is not enabled'); |
| 50 | + process.exit(0); |
| 51 | + } |
| 52 | + |
| 53 | + console.log('Using model:', aiConfig.model?.name); |
| 54 | + |
| 55 | + // Example of using generateText (non-streaming) |
| 56 | + console.log('\n*** Generating text:'); |
| 57 | + try { |
| 58 | + const result = await aiConfig.tracker.trackVercelAISDKGenerateTextMetrics(() => |
| 59 | + generateText(aiConfig.toVercelAISDK(openai)), |
| 60 | + ); |
| 61 | + console.log('Response:', result.text); |
| 62 | + |
| 63 | + process.stdout.write('Streaming Response: '); |
| 64 | + const streamResult = aiConfig.tracker.trackVercelAISDKStreamTextMetrics(() => |
| 65 | + streamText(aiConfig.toVercelAISDK(openai)), |
| 66 | + ); |
| 67 | + for await (const textPart of streamResult.textStream) { |
| 68 | + process.stdout.write(textPart); |
| 69 | + } |
| 70 | + |
| 71 | + console.log('\nSuccess.'); |
| 72 | + } catch (err) { |
| 73 | + console.error('Error:', err); |
| 74 | + } |
| 75 | +} |
| 76 | + |
| 77 | +main() |
| 78 | + .catch((e) => console.error(e)) |
| 79 | + .finally(async () => { |
| 80 | + await client?.flush(); |
| 81 | + client?.close(); |
| 82 | + }); |
0 commit comments