feat(eval): add --concurrency flag for parallel item evaluation#1648
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--concurrency K sends up to K dataset items to the agent simultaneously, load-testing the agent under concurrent requests. Default 1 = sequential (existing behaviour unchanged). When K > 1, run_items() dispatches items to ThreadPoolExecutor(max_workers=K). Each item still runs --runs times sequentially (pass@K); parallelism is across items, not within an item's K runs. Results are collected in input order regardless of completion order. All progress callbacks and Langfuse logging are invoked from worker threads (Console and per-call httpx clients are thread-safe). JIRA: GDAI-1832
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--concurrency K sends up to K dataset items to the agent simultaneously, load-testing the agent under concurrent requests. Default 1 = sequential (existing behaviour unchanged).
When K > 1, run_items() dispatches items to ThreadPoolExecutor(max_workers=K). Each item still runs --runs times sequentially (pass@K); parallelism is across items, not within an item's K runs. Results are collected in input order regardless of completion order. All progress callbacks and Langfuse logging are invoked from worker threads (Console and per-call httpx clients are thread-safe).
JIRA: GDAI-1832