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chore: Auto-detect Provider ID when only 1 Vector Store Provider avai… (#3802)
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# What does this PR do?
2 main changes:
1. Remove `provider_id` requirement in call to vector stores and
2. Removes "register first embedding model" logic
- Now forces embedding model id as required on Vector Store creation
Simplifies the UX for OpenAI to:
```python
vs = client.vector_stores.create(
name="my_citations_db",
extra_body={
"embedding_model": "ollama/nomic-embed-text:latest",
}
)
```
<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->
## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->
---------
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Arceo
GitHub
parent
642126e13b
commit
968c364a3e
5 changed files with 123 additions and 115 deletions
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@ -146,8 +146,6 @@ def test_openai_create_vector_store(
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metadata={"purpose": "testing", "environment": "integration"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -175,8 +173,6 @@ def test_openai_list_vector_stores(
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metadata={"type": "test"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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store2 = client.vector_stores.create(
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@ -184,8 +180,6 @@ def test_openai_list_vector_stores(
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metadata={"type": "test"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -220,8 +214,6 @@ def test_openai_retrieve_vector_store(
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metadata={"purpose": "retrieval_test"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -249,8 +241,6 @@ def test_openai_update_vector_store(
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metadata={"version": "1.0"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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time.sleep(1)
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@ -282,8 +272,6 @@ def test_openai_delete_vector_store(
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metadata={"purpose": "deletion_test"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -314,8 +302,6 @@ def test_openai_vector_store_search_empty(
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metadata={"purpose": "search_testing"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -346,8 +332,6 @@ def test_openai_vector_store_with_chunks(
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metadata={"purpose": "chunks_testing"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -412,8 +396,6 @@ def test_openai_vector_store_search_relevance(
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metadata={"purpose": "relevance_testing"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -457,8 +439,6 @@ def test_openai_vector_store_search_with_ranking_options(
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metadata={"purpose": "ranking_testing"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -500,8 +480,6 @@ def test_openai_vector_store_search_with_high_score_filter(
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metadata={"purpose": "high_score_filtering"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -561,8 +539,6 @@ def test_openai_vector_store_search_with_max_num_results(
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metadata={"purpose": "max_num_results_testing"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -596,8 +572,6 @@ def test_openai_vector_store_attach_file(
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name="test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -666,8 +640,6 @@ def test_openai_vector_store_attach_files_on_creation(
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file_ids=file_ids,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -713,8 +685,6 @@ def test_openai_vector_store_list_files(
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name="test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -799,8 +769,6 @@ def test_openai_vector_store_retrieve_file_contents(
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name="test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -819,8 +787,6 @@ def test_openai_vector_store_retrieve_file_contents(
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attributes=attributes,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -857,8 +823,6 @@ def test_openai_vector_store_delete_file(
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name="test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -918,8 +882,6 @@ def test_openai_vector_store_delete_file_removes_from_vector_store(
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name="test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -965,8 +927,6 @@ def test_openai_vector_store_update_file(
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name="test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1026,8 +986,6 @@ def test_create_vector_store_files_duplicate_vector_store_name(
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name="test_store_with_files",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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assert vector_store.file_counts.completed == 0
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@ -1040,8 +998,6 @@ def test_create_vector_store_files_duplicate_vector_store_name(
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name="test_store_with_files",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1053,8 +1009,6 @@ def test_create_vector_store_files_duplicate_vector_store_name(
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file_id=file_ids[0],
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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assert created_file.status == "completed"
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@ -1065,8 +1019,6 @@ def test_create_vector_store_files_duplicate_vector_store_name(
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file_id=file_ids[1],
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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assert created_file_from_non_deleted_vector_store.status == "completed"
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@ -1087,8 +1039,6 @@ def test_openai_vector_store_search_modes(
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metadata={"purpose": "search_mode_testing"},
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1120,8 +1070,6 @@ def test_openai_vector_store_file_batch_create_and_retrieve(
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name="batch_test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1139,8 +1087,6 @@ def test_openai_vector_store_file_batch_create_and_retrieve(
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file_ids=file_ids,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1187,8 +1133,6 @@ def test_openai_vector_store_file_batch_list_files(
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name="batch_list_test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1206,8 +1150,6 @@ def test_openai_vector_store_file_batch_list_files(
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file_ids=file_ids,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1284,8 +1226,6 @@ def test_openai_vector_store_file_batch_cancel(
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name="batch_cancel_test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1303,8 +1243,6 @@ def test_openai_vector_store_file_batch_cancel(
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file_ids=file_ids,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1343,8 +1281,6 @@ def test_openai_vector_store_file_batch_retrieve_contents(
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name="batch_contents_test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1367,8 +1303,6 @@ def test_openai_vector_store_file_batch_retrieve_contents(
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file_ids=file_ids,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1420,8 +1354,6 @@ def test_openai_vector_store_file_batch_error_handling(
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name="batch_error_test_store",
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -1433,8 +1365,6 @@ def test_openai_vector_store_file_batch_error_handling(
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file_ids=file_ids,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -52,8 +52,6 @@ def test_vector_db_retrieve(client_with_empty_registry, embedding_model_id, embe
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name=vector_db_name,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -73,8 +71,6 @@ def test_vector_db_register(client_with_empty_registry, embedding_model_id, embe
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name=vector_db_name,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -110,8 +106,6 @@ def test_insert_chunks(client_with_empty_registry, embedding_model_id, embedding
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name=vector_db_name,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -152,8 +146,6 @@ def test_insert_chunks_with_precomputed_embeddings(client_with_empty_registry, e
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name=vector_db_name,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -202,8 +194,6 @@ def test_query_returns_valid_object_when_identical_to_embedding_in_vdb(
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name=vector_db_name,
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extra_body={
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"embedding_model": embedding_model_id,
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"embedding_dimension": embedding_dimension,
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"provider_id": "my_provider",
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},
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)
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@ -234,3 +224,35 @@ def test_query_returns_valid_object_when_identical_to_embedding_in_vdb(
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assert len(response.chunks) > 0
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assert response.chunks[0].metadata["document_id"] == "doc1"
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assert response.chunks[0].metadata["source"] == "precomputed"
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def test_auto_extract_embedding_dimension(client_with_empty_registry, embedding_model_id):
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vs = client_with_empty_registry.vector_stores.create(
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name="test_auto_extract", extra_body={"embedding_model": embedding_model_id}
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)
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assert vs.id is not None
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def test_provider_auto_selection_single_provider(client_with_empty_registry, embedding_model_id):
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providers = [p for p in client_with_empty_registry.providers.list() if p.api == "vector_io"]
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if len(providers) != 1:
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pytest.skip(f"Test requires exactly one vector_io provider, found {len(providers)}")
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vs = client_with_empty_registry.vector_stores.create(
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name="test_auto_provider", extra_body={"embedding_model": embedding_model_id}
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)
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assert vs.id is not None
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def test_provider_id_override(client_with_empty_registry, embedding_model_id):
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providers = [p for p in client_with_empty_registry.providers.list() if p.api == "vector_io"]
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if len(providers) != 1:
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pytest.skip(f"Test requires exactly one vector_io provider, found {len(providers)}")
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provider_id = providers[0].provider_id
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|
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vs = client_with_empty_registry.vector_stores.create(
|
||||
name="test_provider_override", extra_body={"embedding_model": embedding_model_id, "provider_id": provider_id}
|
||||
)
|
||||
assert vs.id is not None
|
||||
assert vs.metadata.get("provider_id") == provider_id
|
||||
|
|
|
|||
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