⚡ Bolt: Concurrent LLM Tool Execution using asyncio.gather#107
⚡ Bolt: Concurrent LLM Tool Execution using asyncio.gather#107ishaanxgupta wants to merge 1 commit intomainfrom
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Optimization targeting `RetrievalPipeline` and `CodeRetrievalPipeline`. Previously, multiple tool calls returned by the LLM were processed sequentially in a loop, meaning the total duration was the sum of all individual tool latencies. This change leverages `asyncio.gather` to execute these external IO operations (e.g. Pinecone semantic search, Neo4j traversals) concurrently, bounding the latency to the longest single request while preserving order for accurate context assembly.
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💡 What: Modified
CodeRetrievalPipelineandRetrievalPipelineto execute their respective LLM tool calls (search_symbols,search_files,search_annotations,impact_analysis, etc.) concurrently usingasyncio.gatherinstead of sequentially processing them in aforloop.🎯 Why: During the retrieval phases, the LLM frequently responds with 2-4 tool calls (e.g., searching temporal + profile simultaneously, or querying both files and symbols for a module). Executing these sequentially created a performance bottleneck where the total latency became the sum of all individual requests.
📊 Impact: Expected to reduce the total latency of multi-tool retrieval turns by 40-60%. Instead of
Latency(T1) + Latency(T2), the turn time is now approximatelymax(Latency(T1), Latency(T2)).🔬 Measurement: Verify the performance improvements by observing the log durations emitted by the pipeline for multiple tool calls in a single turn. The total pipeline execution time should be notably reduced when the LLM makes 2+ tool calls.
PR created automatically by Jules for task 1358703756407159199 started by @ishaanxgupta