forked from phoenix-oss/llama-stack-mirror
23210e8679
* 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>
30 lines
840 B
YAML
30 lines
840 B
YAML
services:
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ollama:
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image: ollama/ollama:latest
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network_mode: "host"
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volumes:
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- ollama:/root/.ollama # this solution synchronizes with the docker volume and loads the model rocket fast
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ports:
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- "11434:11434"
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command: []
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llamastack:
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depends_on:
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- ollama
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image: llamastack/llamastack-local-cpu
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network_mode: "host"
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volumes:
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- ~/.llama:/root/.llama
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# Link to ollama run.yaml file
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- ./run.yaml:/root/my-run.yaml
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ports:
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- "5000:5000"
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# Hack: wait for ollama server to start before starting docker
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entrypoint: bash -c "sleep 60; python -m llama_stack.distribution.server.server --yaml_config /root/my-run.yaml"
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deploy:
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restart_policy:
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condition: on-failure
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delay: 3s
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max_attempts: 5
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window: 60s
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volumes:
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ollama:
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