llama-stack-mirror/llama_stack/core
Charlie Doern c88c4ff2c6
feat: introduce API leveling, post_training, eval to v1alpha (#3449)
# What does this PR do?

Rather than have a single `LLAMA_STACK_VERSION`, we need to have a
`_V1`, `_V1ALPHA`, and `_V1BETA` constant.

This also necessitated addition of `level` to the `WebMethod` so that
routing can be handeled properly.


For backwards compat, the `v1` routes are being kept around and marked
as `deprecated`. When used, the server will log a deprecation warning.

Deprecation log:

<img width="1224" height="134" alt="Screenshot 2025-09-25 at 2 43 36 PM"
src="https://github.com/user-attachments/assets/0cc7c245-dafc-48f0-be99-269fb9a686f9"
/>

move:
1. post_training to `v1alpha` as it is under heavy development and not
near its final state
2. eval: job scheduling is not implemented. Relies heavily on the
datasetio API which is under development missing implementations of
specific routes indicating the structure of those routes might change.
Additionally eval depends on the `inference` API which is going to be
deprecated, eval will likely need a major API surface change to conform
to using completions properly

implements leveling in #3317 

note: integration tests will fail until the SDK is regenerated with
v1alpha/inference as opposed to v1/inference

## Test Plan

existing tests should pass with newly generated schema. Conformance will
also pass as these routes are not the ones we currently test for
stability

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-09-26 16:18:07 +02:00
..
access_control chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
prompts feat: Adding OpenAI Prompts API (#3319) 2025-09-08 11:05:13 -04:00
routers chore: introduce write queue for inference_store (#3383) 2025-09-10 11:57:42 -07:00
routing_tables fix: handle missing API keys gracefully in model refresh (#3493) 2025-09-22 07:31:30 -04:00
server feat: introduce API leveling, post_training, eval to v1alpha (#3449) 2025-09-26 16:18:07 +02:00
store fix: Added a bug fix when registering new models (#3453) 2025-09-16 19:09:06 -07:00
ui docs: update documentation links (#3459) 2025-09-17 10:37:35 -07:00
utils refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
__init__.py chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
build.py feat(distro): no huggingface provider for starter (#3258) 2025-08-26 14:06:36 -07:00
build_container.sh chore: fix build (#3522) 2025-09-22 22:53:48 -07:00
build_venv.sh fix(ci, tests): ensure uv environments in CI are kosher, record tests (#3193) 2025-08-18 17:02:24 -07:00
client.py feat: introduce API leveling, post_training, eval to v1alpha (#3449) 2025-09-26 16:18:07 +02:00
common.sh refactor: remove Conda support from Llama Stack (#2969) 2025-08-02 15:52:59 -07:00
configure.py chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061) 2025-08-20 07:15:35 -04:00
datatypes.py feat: combine ProviderSpec datatypes (#3378) 2025-09-18 16:10:00 +02:00
distribution.py feat: combine ProviderSpec datatypes (#3378) 2025-09-18 16:10:00 +02:00
external.py chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
inspect.py chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
library_client.py chore: refactor server.main (#3462) 2025-09-18 21:11:13 -07:00
providers.py chore(rename): move llama_stack.distribution to llama_stack.core (#2975) 2025-07-30 23:30:53 -07:00
request_headers.py chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061) 2025-08-20 07:15:35 -04:00
resolver.py feat: Adding OpenAI Prompts API (#3319) 2025-09-08 11:05:13 -04:00
stack.py chore: refactor server.main (#3462) 2025-09-18 21:11:13 -07:00
start_stack.sh docs: update documentation links (#3459) 2025-09-17 10:37:35 -07:00