Define handler as an async generator in mlrun_footer#197
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rokatyy merged 3 commits intonuclio:masterfrom Jan 28, 2026
Merged
Define handler as an async generator in mlrun_footer#197rokatyy merged 3 commits intonuclio:masterfrom
mlrun_footer#197rokatyy merged 3 commits intonuclio:masterfrom
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Adds support for streaming responses in serving graphs, enabling real-time chunk-by-chunk HTTP responses (e.g., for LLM token streaming). Key changes: * New `set_streaming(enabled=True)` API on serving functions * Async streaming handler that yields results as they're produced by graph steps * Graph steps can now use generators to stream multiple chunks * Updated nuclio handler for generator return type support Using the new functionality introduced in storey 1.11.8 / mlrun/storey#605. [ML-11876](https://iguazio.atlassian.net/browse/ML-11876) Depends on nuclio/nuclio-jupyter#197. [ML-11876]: https://iguazio.atlassian.net/browse/ML-11876?atlOrigin=eyJpIjoiNWRkNTljNzYxNjVmNDY3MDlhMDU5Y2ZhYzA5YTRkZjUiLCJwIjoiZ2l0aHViLWNvbS1KU1cifQ
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ML-11876
Required for mlrun/mlrun#9248.
This is necessary because nuclio's Python wrapper performs static checks on the handler, meaning that it cannot simply act as a pass-through for whaterver
context.mlrun_handler(context, event)returns.