Kenil Vora

[Kenil Vora @kvora97]

@hwchase17 Excited to see how people get creative with agent engineering!

[Harrison Chase @hwchase17]

🔎🤖LangSmith Insights Agent

Really excited to launch our first in-product agent

This agent lives inside LangSmith and combs through traces, giving you insights into:
🧑‍🤝‍🧑how users are using your agent
⁉️how your agent may be messing up
🛃{your custom insight here}

The problem we saw was that people were launching agents... and didn't know how their users were actually using them! You put a chat box in front of people, and they may ask it anything - the surface area for agents is often super wide

In addition - agents would fail silently. They could give a bad response - this wouldn't show up in error logs, but its good to know.

If you know what look for, you can set up LLM as a judge evaluators. But what if you don't? (most people don't initially)

The best way to figure this out - as @HamelHusain says - "look at your data". But LLMs are really good at looking at your data! So can they do it for you?

This is exactly what insights agent attempts to do. It's live in LangSmith today. You can read more about it here: https://t.co/fpPrHyfajr

[Harrison Chase @hwchase17]

🥳Announcing LangChain and LangGraph 1.0

LangChain and LangGraph 1.0 versions are now LIVE!!!! For both Python and TypeScript

Some exciting highlights:
- NEW DOCS!!!!
- LangChain Agent: revamped and more flexible with middleware
- LangGraph 1.0: we've been really happy with LangGraph and this is our official stamp of approval
- Standard content blocks: swap seamlessly between models

Read more about it here: https://t.co/vnF9qtLsqa

We hope you love it!

[Kenil Vora @kvora97]

@hwchase17 Amazing work by the team on the revamped look of LangChain and LangGraph!

[Kenil Vora @kvora97]

@thisIsAvb bhatla?

[Kenil Vora @kvora97]

@anujdave_ did u make playoffs?

[Kenil Vora @kvora97]

@keshavrao_ @theashbhat @pranavwtf can i join remotely

[Kenil Vora @kvora97]

@DanRose999 @brian_armstrong @threader_app compile