rebase eval test w/ tool_runtime fixtures (#773)

# What does this PR do?

- fix eval tests to include tool_runtime fixtures
- rebase eval for extracting memory retrieval context

## Test Plan

```
pytest -v -s -m meta_reference_eval_together_inference_huggingface_datasetio llama_stack/providers/tests/eval/test_eval.py
pytest -v -s -m braintrust_scoring_together_inference llama_stack/providers/tests/scoring/test_scoring.py
```
- With notebook:
https://gist.github.com/yanxi0830/1260a6cb7ec42498a195b88422462a34

## Sources

Please link relevant resources if necessary.


## Before submitting

- [ ] This PR fixes a typo or improves the docs (you can dismiss the
other checks if that's the case).
- [ ] Ran pre-commit to handle lint / formatting issues.
- [ ] Read the [contributor
guideline](https://github.com/meta-llama/llama-stack/blob/main/CONTRIBUTING.md),
      Pull Request section?
- [ ] Updated relevant documentation.
- [ ] Wrote necessary unit or integration tests.

llama_stack/providers/inline/eval/meta_reference/eval.py

@@ -16,6 +16,9 @@ from llama_stack.apis.scoring import Scoring
 from llama_stack.distribution.datatypes import Api
 from llama_stack.providers.datatypes import EvalTasksProtocolPrivate
 
+from llama_stack.providers.inline.agents.meta_reference.agent_instance import (
+    MEMORY_QUERY_TOOL,
+)
 from llama_stack.providers.utils.common.data_schema_validator import (
     ColumnName,
     get_valid_schemas,
@@ -146,8 +149,12 @@ class MetaReferenceEvalImpl(
             # check if there's a memory retrieval step and extract the context
             memory_rag_context = None
             for step in final_event.turn.steps:
-                if step.step_type == StepType.memory_retrieval.value:
-                    memory_rag_context = " ".join(x.text for x in step.inserted_context)
+                if step.step_type == StepType.tool_execution.value:
+                    for tool_response in step.tool_responses:
+                        if tool_response.tool_name == MEMORY_QUERY_TOOL:
+                            memory_rag_context = " ".join(
+                                x.text for x in tool_response.content
+                            )
 
             agent_generation = {}
             agent_generation[ColumnName.generated_answer.value] = (

llama_stack/providers/tests/eval/conftest.py

@@ -15,6 +15,7 @@ from ..inference.fixtures import INFERENCE_FIXTURES
 from ..memory.fixtures import MEMORY_FIXTURES
 from ..safety.fixtures import SAFETY_FIXTURES
 from ..scoring.fixtures import SCORING_FIXTURES
+from ..tools.fixtures import TOOL_RUNTIME_FIXTURES
 from .fixtures import EVAL_FIXTURES
 
 DEFAULT_PROVIDER_COMBINATIONS = [
@@ -27,6 +28,7 @@ DEFAULT_PROVIDER_COMBINATIONS = [
             "agents": "meta_reference",
             "safety": "llama_guard",
             "memory": "faiss",
+            "tool_runtime": "memory_and_search",
         },
         id="meta_reference_eval_fireworks_inference",
         marks=pytest.mark.meta_reference_eval_fireworks_inference,
@@ -40,6 +42,7 @@ DEFAULT_PROVIDER_COMBINATIONS = [
             "agents": "meta_reference",
             "safety": "llama_guard",
             "memory": "faiss",
+            "tool_runtime": "memory_and_search",
         },
         id="meta_reference_eval_together_inference",
         marks=pytest.mark.meta_reference_eval_together_inference,
@@ -53,6 +56,7 @@ DEFAULT_PROVIDER_COMBINATIONS = [
             "agents": "meta_reference",
             "safety": "llama_guard",
             "memory": "faiss",
+            "tool_runtime": "memory_and_search",
         },
         id="meta_reference_eval_together_inference_huggingface_datasetio",
         marks=pytest.mark.meta_reference_eval_together_inference_huggingface_datasetio,
@@ -98,6 +102,7 @@ def pytest_generate_tests(metafunc):
             "agents": AGENTS_FIXTURES,
             "safety": SAFETY_FIXTURES,
             "memory": MEMORY_FIXTURES,
+            "tool_runtime": TOOL_RUNTIME_FIXTURES,
         }
         combinations = (
             get_provider_fixture_overrides(metafunc.config, available_fixtures)

llama_stack/providers/tests/eval/fixtures.py

@@ -35,7 +35,13 @@ EVAL_FIXTURES = ["meta_reference", "remote"]
 
 
 @pytest_asyncio.fixture(scope="session")
-async def eval_stack(request, inference_model, judge_model):
+async def eval_stack(
+    request,
+    inference_model,
+    judge_model,
+    tool_group_input_memory,
+    tool_group_input_tavily_search,
+):
     fixture_dict = request.param
 
     providers = {}
@@ -48,6 +54,7 @@ async def eval_stack(request, inference_model, judge_model):
         "agents",
         "safety",
         "memory",
+        "tool_runtime",
     ]:
         fixture = request.getfixturevalue(f"{key}_{fixture_dict[key]}")
         providers[key] = fixture.providers
@@ -63,6 +70,7 @@ async def eval_stack(request, inference_model, judge_model):
             Api.agents,
             Api.safety,
             Api.memory,
+            Api.tool_runtime,
         ],
         providers,
         provider_data,
@@ -73,6 +81,7 @@ async def eval_stack(request, inference_model, judge_model):
                 judge_model,
             ]
         ],
+        tool_groups=[tool_group_input_memory, tool_group_input_tavily_search],
     )
 
     return test_stack.impls