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# Summary: Client side change in https://github.com/meta-llama/llama-stack-client-python/pull/180 Changes the resume_turn API to accept `ToolResponse` instead of `ToolResponseMessage`: 1. `ToolResponse` contains `metadata` 2. `ToolResponseMessage` is a concept for model inputs. Here we are just submitting the outputs of tool execution. # Test Plan: Ran integration tests with newly added test using client tool with metadata LLAMA_STACK_CONFIG=fireworks pytest -s -v tests/integration/agents/test_agents.py --safety-shield meta-llama/Llama-Guard-3-8B --record-responses |
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.. | ||
agents | ||
datasetio | ||
eval | ||
fixtures | ||
inference | ||
post_training | ||
safety | ||
scoring | ||
test_cases | ||
tool_runtime | ||
vector_io | ||
__init__.py | ||
conftest.py | ||
metadata.py | ||
README.md | ||
report.py |
Llama Stack Integration Tests
You can run llama stack integration tests on either a Llama Stack Library or a Llama Stack endpoint.
To test on a Llama Stack library with certain configuration, run
LLAMA_STACK_CONFIG=./llama_stack/templates/cerebras/run.yaml pytest -s -v tests/api/inference/
or just the template name
LLAMA_STACK_CONFIG=together pytest -s -v tests/api/inference/
To test on a Llama Stack endpoint, run
LLAMA_STACK_BASE_URL=http://localhost:8089 pytest -s -v tests/api/inference
Report Generation
To generate a report, run with --report
option
LLAMA_STACK_CONFIG=together pytest -s -v report.md tests/api/ --report
Common options
Depending on the API, there are custom options enabled
- For tests in
inference/
andagents/, we support
--inference-model(to be used in text inference tests) and
--vision-inference-model` (only used in image inference tests) overrides - For tests in
vector_io/
, we support--embedding-model
override - For tests in
safety/
, we support--safety-shield
override - The param can be
--report
or--report <path>
If path is not provided, we do a best effort to infer based on the config / template name. For url endpoints, path is required.