- 01-no-humans.ts - classify the emails with no human intervention
- 02-humans.ts - classify the emails, checking with a human before saving classifications, then print results
- 03-humans-async.ts - classify the emails, print them out, then start a webserver to listen for human overrides. When a human feedback is received, print the updated list.
npm install
npm run no-humans
npm run human-review-sync
npm run human-review-async
For all three examples, you'll need to set OPENAI_API_KEY in your environment.
For the human-review examples, you'll need to set HUMANLAYER_API_KEY in your environment. You can get one at app.humanlayer.dev.
For the human-review-async example, you will need to configure HumanLayer to send a Response Webhook to your local server using ngrok or similar.
In this example, we just classify the emails and print the results of the LLM classification.
In this example, each email is sent synchronously to a human for review, and then all results are printed at the end.
In this example, all LLM classifications are computed, and then they are all sent to a human for review. When a human review is completed, it will be received by a webhook, and the results will be printed out.
