Ashwin Bharambe 11697f85c5 fix: pull ollama embedding model if necessary (#1209) ... Embedding models are tiny and can be pulled on-demand. Let's do that so the user doesn't have to do "yet another thing" to get themselves set up. Thanks @hardikjshah for the suggestion. Also fixed a build dependency miss (TODO: distro_codegen needs to actually check that the build template contains all providers mentioned for the run.yaml file) ## Test Plan First run `ollama rm all-minilm:latest`. Run `llama stack build --template ollama && llama stack run ollama --env INFERENCE_MODEL=llama3.2:3b-instruct-fp16`. See that it outputs a "Pulling embedding model `all-minilm:latest`" output and the stack starts up correctly. Verify that `ollama list` shows the model is correctly downloaded.		2025-02-21 10:35:56 -08:00
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inline	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
registry	feat: inference passthrough provider (#1166)	2025-02-19 21:47:00 -08:00
remote	fix: pull ollama embedding model if necessary (#1209)	2025-02-21 10:35:56 -08:00
tests	fix: pass tool_prompt_format to chat_formatter (#1198)	2025-02-20 21:38:35 -08:00
utils	feat(api): Add options for supporting various embedding models (#1192)	2025-02-20 22:27:12 -08:00
__init__.py	API Updates (#73)	2024-09-17 19:51:35 -07:00
datatypes.py	chore: move all Llama Stack types from llama-models to llama-stack (#1098)	2025-02-14 09:10:59 -08:00