Local Indexing to reduce tool calling and token usage

Ted Haley discussed the concept of local indexing to reduce tool calling and token usage. He described how traditional indexing techniques, such as database indexing and caching, can lead to performance issues and increased token usage. Haley proposed a new approach called 'local indexing' that stores data in a local cache, reducing the need for tool calls and token usage. He provided an example of how this approach can be applied to a Python function, where the local index is updated when the function is called.