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feat(tests): make inference_recorder into api_recorder (include tool_invoke) (#3403)

Browse source 
Renames `inference_recorder.py` to `api_recorder.py` and extends it to
support recording/replaying tool invocations in addition to inference
calls.

This allows us to record web-search, etc. tool calls and thereafter
apply recordings for `tests/integration/responses`

## Test Plan

```
export OPENAI_API_KEY=...
export TAVILY_SEARCH_API_KEY=...

./scripts/integration-tests.sh --stack-config ci-tests \
   --suite responses --inference-mode record-if-missing
```
This commit is contained in:
Ashwin Bharambe 2025-10-09 14:27:51 -07:00 • committed by GitHub
parent 26fd5dbd34
commit f50ce11a3b
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284 changed files with 296191 additions and 631 deletions
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5
llama_stack/providers/utils/memory/openai_vector_store_mixin.py
View file

@ -40,6 +40,7 @@ from llama_stack.apis.vector_io import (
VectorStoreSearchResponse,
VectorStoreSearchResponsePage,
)
from llama_stack.core.id_generation import generate_object_id
from llama_stack.log import get_logger
from llama_stack.providers.utils.kvstore.api import KVStore
from llama_stack.providers.utils.memory.vector_store import (
@ -352,7 +353,7 @@ class OpenAIVectorStoreMixin(ABC):
"""Creates a vector store."""
created_at = int(time.time())
# Derive the canonical vector_db_id (allow override, else generate)
vector_db_id = provider_vector_db_id or f"vs_{uuid.uuid4()}"
vector_db_id = provider_vector_db_id or generate_object_id("vector_store", lambda: f"vs_{uuid.uuid4()}")
if provider_id is None:
raise ValueError("Provider ID is required")
@ -986,7 +987,7 @@ class OpenAIVectorStoreMixin(ABC):
chunking_strategy = chunking_strategy or VectorStoreChunkingStrategyAuto()
created_at = int(time.time())
batch_id = f"batch_{uuid.uuid4()}"
batch_id = generate_object_id("vector_store_file_batch", lambda: f"batch_{uuid.uuid4()}")
# File batches expire after 7 days
expires_at = created_at + (7 * 24 * 60 * 60)