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Bookmark or Share- Trace complex LLM applications with the Langfuse decorator (Python)The goal of the @observe() decorator is to abstract away the complexity of creating and nesting traces and spans, and to make it easy to trace complex applications. The decorator should: Trace all function calls and their outputs in a single trace while maintaining the nesting hierarchy. Be easy to use and require minimal changes to your code.
- Trust Me I'm a Decorator: Whizz Air, Marmite Sandwiches, and Other ...Whizz Air, Marmite Sandwiches, and Other Travel Tales Trust Me I'm a Decorator Places & Travel Tommy and Debbie discuss their recent trips and the advantages and disadvantages of they faced. Tommy shares his experience of traveling to Montreal to see the solar eclipse, while Debbie recounts her frustrating journey from Italy to London.
- Decorator shares 'impressive' trick to tackle mold stains in minutes - MSNDecorator Kris DeVos, owner of Fox's Painting and Decorating, has the advice you need - a product called B-I-N shellac-based primer-sealer by Zinsser, which costs $23.48 at Home Depot. Kris shared ...
- I'm an interior decorator. Here are 10 things I made sure to have ... - MSNI'm an interior decorator and there are some things I've made sure to have in my own home. Statement rugs, elevated hardware, and large-scale artwork can upgrade a space. I must have smart bulbs ...
- Primer on Python Decorators – Real PythonIn this tutorial on Python decorators, you’ll learn what they are and how to create and use them. Decorators provide a simple syntax for calling higher-order functions. By definition, a decorator is a function that takes another function and extends the behavior of the latter function without explicitly modifying it.
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