phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-06-27 18:50:41 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

llama stack distributions / templates / docker refactor (#266)

Browse source 
* docker compose ollama

* comment

* update compose file

* readme for distributions

* readme

* move distribution folders

* move distribution/templates to distributions/

* rename

* kill distribution/templates

* readme

* readme

* build/developer cookbook/new api provider

* developer cookbook

* readme

* readme

* [bugfix] fix case for agent when memory bank registered without specifying provider_id (#264)

* fix case where memory bank is registered without provider_id

* memory test

* agents unit test

* Add an option to not use elastic agents for meta-reference inference (#269)

* Allow overridding checkpoint_dir via config

* Small rename

* Make all methods `async def` again; add completion() for meta-reference (#270)

PR #201 had made several changes while trying to fix issues with getting the stream=False branches of inference and agents API working. As part of this, it made a change which was slightly gratuitous. Namely, making chat_completion() and brethren "def" instead of "async def".

The rationale was that this allowed the user (within llama-stack) of this to use it as:

```
async for chunk in api.chat_completion(params)
```

However, it causes unnecessary confusion for several folks. Given that clients (e.g., llama-stack-apps) anyway use the SDK methods (which are completely isolated) this choice was not ideal. Let's revert back so the call now looks like:

```
async for chunk in await api.chat_completion(params)
```

Bonus: Added a completion() implementation for the meta-reference provider. Technically should have been another PR :)

* Improve an important error message

* update ollama for llama-guard3

* Add vLLM inference provider for OpenAI compatible vLLM server (#178)

This PR adds vLLM inference provider for OpenAI compatible vLLM server.

* Create .readthedocs.yaml

Trying out readthedocs

* Update event_logger.py (#275)

spelling error

* vllm

* build templates

* delete templates

* tmp add back build to avoid merge conflicts

* vllm

* vllm

---------

Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
Co-authored-by: Ashwin Bharambe <ashwin@meta.com>
Co-authored-by: Yuan Tang <terrytangyuan@gmail.com>
Co-authored-by: raghotham <rsm@meta.com>
Co-authored-by: nehal-a2z <nehal@coderabbit.ai>
This commit is contained in:
Xi Yan 2024-10-21 11:17:53 -07:00 • committed by GitHub
parent c995219731
commit 23210e8679
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
32 changed files with 850 additions and 335 deletions
Download patch file Download diff file Expand all files Collapse all files

18
llama_stack/providers/registry/inference.py
View file

@ -60,15 +60,15 @@ def available_providers() -> List[ProviderSpec]:
module="llama_stack.providers.adapters.inference.ollama",
),
),
# remote_provider_spec(
# api=Api.inference,
# adapter=AdapterSpec(
# adapter_type="vllm",
# pip_packages=["openai"],
# module="llama_stack.providers.adapters.inference.vllm",
# config_class="llama_stack.providers.adapters.inference.vllm.VLLMImplConfig",
# ),
# ),
# remote_provider_spec(
# api=Api.inference,
# adapter=AdapterSpec(
# adapter_type="vllm",
# pip_packages=["openai"],
# module="llama_stack.providers.adapters.inference.vllm",
# config_class="llama_stack.providers.adapters.inference.vllm.VLLMImplConfig",
# ),
# ),
remote_provider_spec(
api=Api.inference,
adapter=AdapterSpec(