chore: introduce write queue for inference_store (#3383)

# What does this PR do?
Adds a write worker queue for writes to inference store. This avoids
overwhelming request processing with slow inference writes.

## Test Plan

Benchmark:
```
cd /docs/source/distributions/k8s-benchmark
# start mock server
python openai-mock-server.py --port 8000
# start stack server
LLAMA_STACK_LOGGING="all=WARNING" uv run --with llama-stack python -m llama_stack.core.server.server docs/source/distributions/k8s-benchmark/stack_run_config.yaml
# run benchmark script
uv run python3 benchmark.py --duration 120 --concurrent 50 --base-url=http://localhost:8321/v1/openai/v1 --model=vllm-inference/meta-llama/Llama-3.2-3B-Instruct
```
## RPS from 21 -> 57
This commit is contained in:
ehhuang 2025-09-10 11:57:42 -07:00 committed by GitHub
parent e6edc1f934
commit e980436a2e
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7 changed files with 139 additions and 22 deletions

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@ -90,6 +90,11 @@ class InferenceRouter(Inference):
async def shutdown(self) -> None:
logger.debug("InferenceRouter.shutdown")
if self.store:
try:
await self.store.shutdown()
except Exception as e:
logger.warning(f"Error during InferenceStore shutdown: {e}")
async def register_model(
self,