🗣️ The Agents API team has a shipping problem – we literally cannot stop. Here’s what we cooked up for you beautiful people this week: 💂 Auto Review: Just like in codex, auto-review will evaluate commands for potential bad behavior before executing. 🗜️ Async Compaction: Speed up your sessions by allowing compaction to happen in the background. 🕐 Time awareness: An experimental feature that allows the model to have a sense of time passing. This means the model will better act on queries like, ”timebox CI fixes to 10 minutes.” 🔨 Tool Updates: You can now update a session’s tools at any time. 💰 Better prompt-cache awareness: System prompts are now automatically cached across all sessions, saving you money and time

🗣️ We’ve got a big ship this week in Agents API: Automations Ever wanted an agent to scan for the best price on a flight every day, or wake a up a thread once an hour to check on the progress of a task? Well I have great news for you.

🗣️ THIS WEEK IN AGENTS API 🗣️ ⚡ 6-Astra Ultrafast: now available in the Agents API! 📷 Sandbox snapshots: Restore OpenAI-hosted environments after idle with files intact and keep the work going. 🤑 Better billing: you won't pay for environments that are idle 🔑 Environment keys: Create environment keys programmatically (not just through the dashboard) 📈 Artifact SDK: Create and edit spreadsheets, slides, and Word docs in OpenAI-hosted sandboxes 🔎 Turn-level history: Fetch the items from a specific root-agent turn, including subagent interactions 🔒 Vault filtering: Filter vaults by metadata

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!

The team behind Agents API continues to cook. Here's what's new this week: Computer use: Spin up a browser + agent with 1 API call 🖥️ Bedrock Managed Agents: Agents API except AWS GPT‑6.1 Sol 🌞 Environment sizes: Spin up a light or beefy oai-hosted environment 💪 Dashboard improvements: configure subagents and more from the dashboard 📈 Environment portability: Re-use environments across multiple sessions 🤖 Overall better reliability: 99.97% turn reliability, fewer SSE disconnects, 20% faster tool calls 🪨 happy building ❤️ u all

@LinusMixson i was on a call during the first announcement where people were trying very hard to say the precise lawyerly truth having not looked into where codex (opt in) data was used and whether it made it into training runs. it's now clear it would have been impossible, the chances are 0

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!