llama-stack/llama_stack/providers/remote
Ben Browning 825ce39879
fix: Together provider shutdown and default to non-streaming (#2001)
# What does this PR do?

The together inference provider was throwing a stack trace every time it
shut down, as it was trying to call a non-existent `close` method on the
AsyncTogether client. While fixing that, I also adjusted its shutdown
logic to close the OpenAI client if we've created one of those, as that
client does have a `close` method.

In testing that, I also realized we were defaulting to treating all
requests as streaming requests instead of defaulting to non-streaming.
So, this flips that default to non-streaming to match how the other
providers work.

## Test Plan

I tested this by ensuring the together inference provider no longer
spits out a long stack trace when shutting it down and by running the
OpenAI API chat completion verification suite to ensure the change in
default streaming logic didn't mess anything else up.

Signed-off-by: Ben Browning <bbrownin@redhat.com>
2025-04-22 17:47:53 +02:00
..
agents test: add unit test to ensure all config types are instantiable (#1601) 2025-03-12 22:29:58 -07:00
datasetio refactor: extract pagination logic into shared helper function (#1770) 2025-03-31 13:08:29 -07:00
inference fix: Together provider shutdown and default to non-streaming (#2001) 2025-04-22 17:47:53 +02:00
post_training fix: Handle case when Customizer Job status is unknown (#1965) 2025-04-17 10:27:07 +02:00
safety docs: Add NVIDIA platform distro docs (#1971) 2025-04-17 05:54:30 -07:00
tool_runtime fix(api): don't return list for runtime tools (#1686) 2025-04-01 09:53:11 +02:00
vector_io chore: Updating Milvus Client calls to be non-blocking (#1830) 2025-03-28 22:14:07 -04:00
__init__.py impls -> inline, adapters -> remote (#381) 2024-11-06 14:54:05 -08:00