The Agents API team is starting off November strong 💪 with some more ships: 🕛 12 hour prompt cache - now you can keep prompts in cache for 12 hours! We’ve seen customers of long running agents, especially personal agents, finding a lot of use and cost savings with this 💨 Async functions - Let your agent continue working after it calls a tool, without waiting for that tool’s result. Use it to start slow lookup requests early, answer independent parts of a request, and provide results when your application has them. 💸 Budget control (beta) - Limit, monitor, and control your agent budgets on a per-session level with Agents API. Now you don’t have to worry about a single customer consuming all your tokens! Interested? DM or email me and I can get you in. Got any other feature requests? Let me know (mluo@openai) and we’ll try to prioritize for next week!

What happens if you invest $1,000 in the top performing stock from the last month rather than the S&P 500? 🤔 Apparently you'd be up over $6 million compared to the S&P 500. I had an agent backtest a strategy of looking at the past month's top performing stock and dumbly investing $1,000 into it. That strategy, since 1998, generated $8.8 million while the S&P 500 generated $2.2 million. Some caveats: - there's some stocks the agent couldn't pull/find data for - we assume that if we can't find the data (e.g. a buyout) that the stock went to $0 to be conservative - the gains are mainly from a few outliers, like Apple and NVIDIA (if you remove the top outliers, performance gets worse but still beats S&P500) Built with the Agents API!

Life update: I recently joined @OpenAI! And in my first 2 weeks, I helped launch the new Agents API - we move at crazy fast speed. Instead of building your own agent harness and managing your own agent infrastructure, you can use our Agents API! If you have any feedback, DM or reply to me!