Changelog

You can now use Anthropic's Claude 3.7 Sonnet as an agent model in Relevance AI, giving you more flexibility in selecting the right model for your use case.  

To get started, select Claude 3.7 Sonnet in your agent settings and test how it fits into your workflows.  

Alongside this release, Anthropic also launched Claude Code—its first agentic coding tool. Our lead AI engineer, Aman Arora, put it to the test with the Relevance AI SDK, and the results were impressive:

➡️ Generated a 1,300+ LOC pull request with unit tests for the Relevance AI SDK—all without Aman writing a single line of code
➡️ Understood our public repo in minutes, following existing code patterns without explicit instructions
➡️ Ran tests, fixed errors, and created a PR—iterating on feedback and automatically resolving issues
➡️ Installed pytest-asyncio on its own to test async functions, demonstrating strong contextual reasoning
➡️ PR cost: $3.30 USD—a glimpse into the efficiency of agentic coding

If you're interested in trying out Relevance AI and Claude, you can sign up to get started or book a demo to see it in action.