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Author SHA1 Message Date
Jaideep Rao
ca47d90926
fix: Ensure that tool calls with no arguments get handled correctly (#3560)
# What does this PR do?
When a model decides to use an MCP tool call that requires no arguments,
it sets the `arguments` field to `None`. This causes the user to see a
`400 bad requst error` due to validation errors down the stack because
this field gets removed when being parsed by an openai compatible
inference provider like vLLM
This PR ensures that, as soon as the tool call args are accumulated
while streaming, we check to ensure no tool call function arguments are
set to None - if they are we replace them with "{}"

<!-- If resolving an issue, uncomment and update the line below -->
Closes #3456

## Test Plan
Added new unit test to verify that any tool calls with function
arguments set to `None` get handled correctly

---------

Signed-off-by: Jaideep Rao <jrao@redhat.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
2025-10-01 08:36:57 -04:00
Ashwin Bharambe
c3d3a0b833
feat(tests): auto-merge all model list responses and unify recordings (#3320)
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One needed to specify record-replay related environment variables for
running integration tests. We could not use defaults because integration
tests could be run against Ollama instances which could be running
different models. For example, text vs vision tests needed separate
instances of Ollama because a single instance typically cannot serve
both of these models if you assume the standard CI worker configuration
on Github. As a result, `client.list()` as returned by the Ollama client
would be different between these runs and we'd end up overwriting
responses.

This PR "solves" it by adding a small amount of complexity -- we store
model list responses specially, keyed by the hashes of the models they
return. At replay time, we merge all of them and pretend that we have
the union of all models available.

## Test Plan

Re-recorded all the tests using `scripts/integration-tests.sh
--inference-mode record`, including the vision tests.
2025-09-03 11:33:03 -07:00
ehhuang
6ac710f3b0
fix(recording): endpoint resolution (#3013)
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# What does this PR do?


## Test Plan
2025-08-01 16:23:54 -07:00
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
Ashwin Bharambe
072d20a124
feat(test): record agents, safety and vector_io integration tests (#2952)
Continue to build on top of
https://github.com/meta-llama/llama-stack/pull/2941

## Test Plan

Run server with `LLAMA_STACK_TEST_INFERENCE_MODE=record` and then run
the integration tests with `--stack-config=server:starter`. Then restart
the server with `LLAMA_STACK_TEST_INFERENCE_MODE=replay` and re-run the
tests. Verify that no request hit Ollama at any point.
2025-07-29 14:02:14 -07:00