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feat(ci): add support for running vision inference tests (#2972)

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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>
This commit is contained in:
Ashwin Bharambe 2025-07-31 11:50:42 -07:00 • committed by GitHub
parent 709c974bd8
commit 27d866795c
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108 changed files with 13985 additions and 15254 deletions
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15
tests/containers/ollama-with-models.containerfile Normal file
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# Containerfile used to build our all in one ollama image to run tests in CI
#
# podman build --platform linux/amd64 -f ./ollama-with-models.containerfile -t ollama-with-models .
#
FROM --platform=linux/amd64 ollama/ollama:latest
# Start ollama and pull models in a single layer
RUN ollama serve & \
sleep 5 && \
ollama pull llama3.2:3b-instruct-fp16 && \
ollama pull all-minilm:l6-v2 && \
ollama pull llama-guard3:1b
# Set the entrypoint to start ollama serve
ENTRYPOINT ["ollama", "serve"]

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tests/containers/ollama-with-vision-model.containerfile Normal file
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# Containerfile used to build our Ollama image with vision model to run tests in CI
#
# podman build --platform linux/amd64 -f ./ollama-with-vision-model.containerfile -t ollama-with-vision-model .
#
FROM --platform=linux/amd64 ollama/ollama:latest
# Start ollama and pull models in a single layer
RUN ollama serve & \
sleep 5 && \
ollama pull llama3.2-vision:11b && \
ollama pull all-minilm:l6-v2
# Set the entrypoint to start ollama serve
ENTRYPOINT ["ollama", "serve"]