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llama-stack-mirror/llama_stack/core/routers
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Eric Huang df873b8b27 chore: handle missing finish_reason 
# What does this PR do?
Sometimes the stream don't have chunks with finish_reason, e.g. canceled stream, which throws a pydantic error as OpenAIChoice.finish_reason: str

## Test Plan
observe no more such error when benchmarking
2025-09-03 21:56:02 -07:00
..
__init__.py chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
datasets.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
eval_scoring.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
inference.py chore: handle missing finish_reason 2025-09-03 21:56:02 -07:00
safety.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
tool_runtime.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
vector_io.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00