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Hi all, our open-source Python library for fast, quality development with LLMs has added support for using Anthropic’s Claude 3 models and its XML function calling capabilities, including nested schemas and def/ref resolution.
In [the example](https://github.com/Mirascope/mirascope/blob/main/examples/extracting_tasks_with_claude_haiku.py) we create a `TaskExtractor` class that can extract a fairly complex, nested `TaskDetails` schema. Haiku does a fantastic job extracting the schema, correctly extracting everything from the task description to due dates to related tasks and metadata.
To our knowledge, Mirascope is the first open-source library to support this level of nested schema definition and automatic data extraction with Claude 3. We'd love to hear feedback - have you seen similar capabilities in other libraries? What other use cases do you think this unlocks, especially with the 200K token context limit?
We're excited to keep expanding Mirascope's functionality, with streaming tools (function calls) next on the roadmap. Check out the [library on GitHub](https://github.com/Mirascope/mirascope) and let us know what you think!