phoenix
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Arize-ai
AI Observability & Evaluation
App - [x] #107 - [x] #126 - [x] #146 - [x] #127 - [x] #133 - [x] #141 - [x] #140 Python - [x] #142 - [x] #143 -...
resolves #3049 strawberry docs: https://strawberry.rocks/docs/guides/dataloaders#custom-cache
As a user of phoenix, I would like a persistent backend - notably a way to - Resume phoenix on previous collection of data - Keep track of evaluation results...
# Add the ability to add human feedback via an API call As a developer, I would like access to the trace_id for an execution and to later send back...
connection_from_array fetches all traces within a time window, which in reality is unnecessary to load a page. We could at first just put a limit on this as it's un-realistic...
- adds support for pagination to `spans` resolver resolves #3003
Some users want to be able to programmatically pull spans and traces from Phoenix without having the entire `arize-phoenix` package installed with all its dependencies. To support these users, it...