llama-stack-mirror/llama_stack/providers/registry
Ashwin Bharambe ade075152e
chore: kill inline::vllm (#2824)
Inline _inference_ providers haven't proved to be very useful -- they
are rarely used. And for good reason -- it is almost never a good idea
to include a complex (distributed) inference engine bundled into a
distributed stateful front-end server serving many other things.
Responsibility should be split properly.

See Discord discussion:
1395849853
2025-07-18 15:52:18 -07:00
..
__init__.py API Updates (#73) 2024-09-17 19:51:35 -07:00
agents.py fix: only load mcp when enabled in tool_group (#2621) 2025-07-04 20:27:05 +05:30
datasetio.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
eval.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
files.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
inference.py chore: kill inline::vllm (#2824) 2025-07-18 15:52:18 -07:00
post_training.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
safety.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
scoring.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
telemetry.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00
tool_runtime.py fix: only load mcp when enabled in tool_group (#2621) 2025-07-04 20:27:05 +05:30
vector_io.py fix: CI flakiness in vector IO tests by pinning pymilvus>=2.4.10 (#2610) 2025-07-04 10:27:23 +05:30