{
 "schema_version": 1,
 "generated": "2026-10-20",
 "id": "patchy631-time-to-first-token--load-test-llm-endpoint-past-1000-concurrent",
 "repo": "patchy631/time-to-first-token",
 "repo_url": "https://github.com/patchy631/time-to-first-token",
 "repo_slug": "patchy631-time-to-first-token",
 "title": "Load test an LLM endpoint past 1000 concurrent requests",
 "page_title": "How to load test an LLM endpoint past 1000 concurrent requests with Time to First Token",
 "summary": "Use guidellm to sweep concurrency and report p50, p95, and p99 latency.",
 "who": "Performance engineer preparing an LLM service for peak traffic.",
 "problem": "Single-request tests miss saturation, so a service can look healthy and still fail under real concurrency.",
 "outcome": "A reproducible concurrency sweep with p50, p95, and p99 output, cross-checked by a second tool.",
 "steps": [
  "`pip install guidellm`",
  "Run a guidellm concurrency sweep against your endpoint, stepping up to 1000 or more concurrent requests. (inferred, check the README)",
  "Record p50, p95, and p99 latency at each level, and discard the saturation point from the summary as the README's benchmarking reading recommends.",
  "Run a second load tool against the same endpoint and compare the results."
 ],
 "agent_prompt": "Using the patchy631/time-to-first-token repo, run a guidellm concurrency sweep against the endpoint at <server URL> up to 1000 concurrent requests. Expected output: p50, p95, and p99 latency at each concurrency level. Verify that the results from a second load tool agree with guidellm within a reasonable margin.",
 "agents": [
  "any"
 ],
 "difficulty": "Advanced",
 "time": "3 hours",
 "basis": "readme",
 "caveat": "The README uses one H100 for this session, so budget for that GPU cost on top of the smaller rental used earlier.",
 "category": "Software and DevOps",
 "tags": [
  "Software and DevOps"
 ],
 "lang": "html",
 "requirements": [
  "Python and command-line comfort",
  "One rented GPU with about 24GB of memory for a 7-8B model, billed by the half hour",
  "Docker for the Prometheus and Grafana stack",
  "An H100 for the 1000-concurrent load test in week 5"
 ],
 "risk": "none",
 "seen_in_the_wild": false,
 "mentioned_publicly": false,
 "risks": [],
 "best": false,
 "score": 0.7,
 "evidence": [],
 "url": "https://dedupedai.com/use-cases/patchy631-time-to-first-token/load-test-llm-endpoint-past-1000-concurrent/",
 "md": "https://dedupedai.com/use-cases/patchy631-time-to-first-token/load-test-llm-endpoint-past-1000-concurrent/index.md",
 "disclaimer": "Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked \"Seen in the wild\", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email hello@dedupedai.com and we will look at it promptly.",
 "api": "https://dedupedai.com/api/v1/usecases/patchy631-time-to-first-token--load-test-llm-endpoint-past-1000-concurrent.json",
 "api_version": "v1"
}