Question
When using LangSmith Deployment (Agent Server) with BG_JOB_ISOLATED_LOOPS=true and ChatOpenAI.invoke, is there a difference in efficiency compared to using ChatOpenAI.ainvoke?
Answer
Yes, ainvoke is still more efficient, but the gap narrows with BG_JOB_ISOLATED_LOOPS=true.
What BG_JOB_ISOLATED_LOOPS=true does:
Runs background jobs in a separate event loop
Prevents sync
invokecalls from blocking the main APIKeeps health checks and other requests responsive
What it does NOT do:
Make multiple LLM calls run in parallel within a single run
Key Difference
Within a single run, invoke is still sequential:
# Sequential - slower even with isolated loops
r1 = llm.invoke(m1)
r2 = llm.invoke(m2)
r3 = llm.invoke(m3)
# Total time: t1 + t2 + t3With ainvoke, you get true parallelism:
# Parallel - much faster
results = await asyncio.gather(
llm.ainvoke(m1),
llm.ainvoke(m2),
llm.ainvoke(m3)
)
# Total time: max(t1, t2, t3)Summary
Scenario | Difference |
Single LLM call per node | Minimal |
Multiple parallel calls per node |
|
High concurrency |
|
Bottom line: BG_JOB_ISOLATED_LOOPS=true is a good safety net for sync code, but native async is optimal for maximum throughput.