4 commits

Author	SHA1	Message	Date
Ashwin Bharambe	27d866795c	feat(ci): add support for running vision inference tests (#2972) ... This PR significantly refactors the Integration Tests workflow. The main goal behind the PR was to enable recording of vision tests which were never run as part of our CI ever before. During debugging, I ended up making several other changes refactoring and hopefully increasing the robustness of the workflow. After doing the experiments, I have updated the trigger event to be `pull_request_target` so this workflow can get write permissions by default but it will run with source code from the base (main) branch in the source repository only. If you do change the workflow, you'd need to experiment using the `workflow_dispatch` triggers. This should not be news to anyone using Github Actions (except me!) It is likely to be a little rocky though while I learn more about GitHub Actions, etc. Please be patient :) --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2025-07-31 11:50:42 -07:00
Sébastien Han	9b7eecebcf	ci: test safety with starter (#2628) ... # What does this PR do? We are now testing the safety capability with the starter image. This includes a few changes: * Enable the safety integration test * Relax the shield model requirements from llama-guard to make it work with llama-guard3:8b coming from Ollama * Expose a shield for each inference provider in the starter distro. The shield will only be registered if the provider is enabled. Closes: https://github.com/meta-llama/llama-stack/issues/2528 Signed-off-by: Sébastien Han <seb@redhat.com>	2025-07-09 16:53:50 +02:00
Wen Zhou	4bca4af3e4	refactor: set proper name for embedding all-minilm:l6-v2 and update to use "starter" in detailed_tutorial (#2627) ... # What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> - we are using `all-minilm:l6-v2` but the model we download from ollama is `all-minilm:latest` latest: https://ollama.com/library/all-minilm:latest 1b226e2802db l6-v2: https://ollama.com/library/all-minilm:l6-v2 pin 1b226e2802db - even currently they are exactly the same model but if [all-minilm:l12-v2](https://ollama.com/library/all-minilm:l12-v2) is updated, "latest" might not be the same for l6-v2. - the only change in this PR is pin the model id in ollama - also update detailed_tutorial with "starter" to replace deprecated "ollama". <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> ``` >INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" >llama stack build --run --template ollama --image-type venv ... Build Successful! You can find the newly-built template here: /home/wenzhou/zdtsw-forking/lls/llama-stack/llama_stack/templates/ollama/run.yaml .... - metadata: embedding_dimension: 384 model_id: all-MiniLM-L6-v2 model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType - embedding provider_id: ollama provider_model_id: all-minilm:l6-v2 ... ``` test ``` >llama-stack-client inference chat-completion --message "Write me a 2-sentence poem about the moon" INFO:httpx:HTTP Request: GET http://localhost:8321/v1/models "HTTP/1.1 200 OK" INFO:httpx:HTTP Request: POST http://localhost:8321/v1/openai/v1/chat/completions "HTTP/1.1 200 OK" OpenAIChatCompletion( id='chatcmpl-04f99071-3da2-44ba-a19f-03b5b7fc70b7', choices=[ OpenAIChatCompletionChoice( finish_reason='stop', index=0, message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam( role='assistant', content="Here is a 2-sentence poem about the moon:\n\nSilver crescent in the midnight sky,\nLuna's gentle face, a beauty to the eye.", name=None, tool_calls=None, refusal=None, annotations=None, audio=None, function_call=None ), logprobs=None ) ], created=1751644429, model='llama3.2:3b-instruct-fp16', object='chat.completion', service_tier=None, system_fingerprint='fp_ollama', usage={'completion_tokens': 33, 'prompt_tokens': 36, 'total_tokens': 69, 'completion_tokens_details': None, 'prompt_tokens_details': None} ) ``` --------- Signed-off-by: Wen Zhou <wenzhou@redhat.com>	2025-07-06 09:07:37 +05:30
Sébastien Han	0d0b8d2be1	ci: use ollama container image with loaded models (#2410) ... # What does this PR do? Instead of downloading the models each time we now have a single Ollama container that is baked with the models pulled and ready to use. This will remove the CI flakiness on model pulling. Signed-off-by: Sébastien Han <seb@redhat.com>	2025-06-06 12:08:20 +02:00