Great summary of o3-mini! Cost-efficiency and speed are impressive. How's it dealing with large context management and integration with other models? Keen to see some benchmarks!
@langchain I would like to see how we can add a coding sandbox to this tool. let's say I ask the research assistant to look up new documentation from langgraph. I would like to see the ai model also be able to code and execute a few examples and save the logs. Maybe this runs in a docker container sandbox for safety. But I would find this feature of simple benchmarking soooooo useful.
To build applications with ai agents.. Token cost is really high when llm do tool calling and communicate to get atleast a initial answer which even may not be correct. Reducing tokens prices is a need of hour rather than introducing new model every next day. Current models are sufficient enough to integrate in the workflows.
Thank you legend!
thanks lance!
nice summary, thanks for sharing
Well Done
Great summary of o3-mini! Cost-efficiency and speed are impressive. How's it dealing with large context management and integration with other models? Keen to see some benchmarks!
amazing
@langchain I would like to see how we can add a coding sandbox to this tool. let's say I ask the research assistant to look up new documentation from langgraph. I would like to see the ai model also be able to code and execute a few examples and save the logs. Maybe this runs in a docker container sandbox for safety. But I would find this feature of simple benchmarking soooooo useful.
To build applications with ai agents.. Token cost is really high when llm do tool calling and communicate to get atleast a initial answer which even may not be correct. Reducing tokens prices is a need of hour rather than introducing new model every next day.
Current models are sufficient enough to integrate in the workflows.
What’s the gUI tool? Langgraph?
Langgraph Studio