add distro report (#847)

# What does this PR do?

Generate distro reports to cover inference, agents, and vector_io. 


## Test Plan

Report generated through `/opt/miniconda3/envs/stack/bin/pytest -s -v
tests/client-sdk/ --report`


## 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.

tests/client-sdk/vector_io/test_vector_io.py

@@ -6,8 +6,36 @@
 
 import random
 
+import pytest
 
-def test_vector_db_retrieve(llama_stack_client, embedding_model):
+
+@pytest.fixture(scope="function")
+def empty_vector_db_registry(llama_stack_client):
+    vector_dbs = [
+        vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
+    ]
+    for vector_db_id in vector_dbs:
+        llama_stack_client.vector_dbs.unregister(vector_db_id=vector_db_id)
+
+
+@pytest.fixture(scope="function")
+def single_entry_vector_db_registry(llama_stack_client, empty_vector_db_registry):
+    vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
+    llama_stack_client.vector_dbs.register(
+        vector_db_id=vector_db_id,
+        embedding_model="all-MiniLM-L6-v2",
+        embedding_dimension=384,
+        provider_id="faiss",
+    )
+    vector_dbs = [
+        vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
+    ]
+    return vector_dbs
+
+
+def test_vector_db_retrieve(
+    llama_stack_client, embedding_model, empty_vector_db_registry
+):
     # Register a memory bank first
     vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
     llama_stack_client.vector_dbs.register(
@@ -26,14 +54,16 @@ def test_vector_db_retrieve(llama_stack_client, embedding_model):
     assert response.provider_resource_id == vector_db_id
 
 
-def test_vector_db_list(llama_stack_client):
+def test_vector_db_list(llama_stack_client, empty_vector_db_registry):
     vector_dbs_after_register = [
         vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
     ]
     assert len(vector_dbs_after_register) == 0
 
 
-def test_vector_db_register(llama_stack_client, embedding_model):
+def test_vector_db_register(
+    llama_stack_client, embedding_model, empty_vector_db_registry
+):
     vector_db_id = f"test_vector_db_{random.randint(1000, 9999)}"
     llama_stack_client.vector_dbs.register(
         vector_db_id=vector_db_id,
@@ -48,7 +78,7 @@ def test_vector_db_register(llama_stack_client, embedding_model):
     assert vector_dbs_after_register == [vector_db_id]
 
 
-def test_vector_db_unregister(llama_stack_client):
+def test_vector_db_unregister(llama_stack_client, single_entry_vector_db_registry):
     vector_dbs = [
         vector_db.identifier for vector_db in llama_stack_client.vector_dbs.list()
     ]