Always remember to monitor your runs if you're cost conscious. The most expensive run I've seen Open SWE complete was ~50M Opus 4 tokens, costing `$25.00`.
<Accordion title="Does Open SWE automatically cache tokens?">
Yes. When using Anthropic models, all input tokens are cached on Anthropic's servers.
</Accordion>
<Accordion title="My run failed midway through. What now?">
We're sorry you're experiencing this! Open SWE will automatically commit any changes it makes to a draft pull request. Please check the draft pull request and make any necessary changes.
If a run fails, you will need to start over.
</Accordion>
<Accordion title="Can I use Open SWE in a production environment?">
Yes! We've been using Open SWE internally at LangChain for a while now, and it's been giving us great results.
We recommend forking and deploying Open SWE yourself if you plan on using it in a production environment. For checking out the product, the [demo application](https://swe.langchain.com) will work fine.
</Accordion>
<Accordion title="I installed Open SWE on a repository in my organization, but it doesn't show up in the UI. Why?">
Some GitHub organizations require administrator approval to install GitHub apps. Please reach out to an administrator in your organization to approve the installation request.
</Accordion>
<Accordion title="What sandbox environment is Open SWE running in?">
Open SWE's sandbox environment is powered by [Daytona.io](https://daytona.io).
</Accordion>
<Accordion title="Can I contribute to Open SWE?">
Yes! We're always looking for contributors to help us improve Open SWE. Feel free to pick up an [open issue](https://github.com/langchain-ai/open-swe/issues) or submit a pull request with a new feature or bug fix.
