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* 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>
11 lines
1.7 KiB
Markdown
11 lines
1.7 KiB
Markdown
# Llama Stack Distribution
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A Distribution is where APIs and Providers are assembled together to provide a consistent whole to the end application developer. You can mix-and-match providers -- some could be backed by local code and some could be remote. As a hobbyist, you can serve a small model locally, but can choose a cloud provider for a large model. Regardless, the higher level APIs your app needs to work with don't need to change at all. You can even imagine moving across the server / mobile-device boundary as well always using the same uniform set of APIs for developing Generative AI applications.
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## Quick Start Llama Stack Distributions Guide
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| **Distribution** | **Llama Stack Docker** | Start This Distribution | **Inference** | **Agents** | **Memory** | **Safety** | **Telemetry** |
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|:----------------: |:------------------------------------------: |:-----------------------: |:------------------: |:------------------: |:------------------: |:------------------: |:------------------: |
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| Meta Reference | llamastack/distribution-meta-reference-gpu | [Guide](./meta-reference-gpu/) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
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| Ollama | llamastack/distribution-ollama | [Guide](./ollama/) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
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| TGI | llamastack/distribution-tgi | [Guide](./tgi/) | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: | :heavy_check_mark: |
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