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feat(loadtest): sustained-250 workload
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2 changed files with 21 additions and 1 deletions
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@ -16,7 +16,7 @@ machines.
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| `s3stub` | In-memory path-style S3 (PUT, GET, ListObjectsV2) for the `s3_v2` logs of a full-feature run. Objects are stored compressed and listed from a sorted index, so millions of logs fit. |
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Workloads live in `workloads/`: `smoke`, `realistic-ramp`, `long-streams`, `large-context`,
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`key-churn` and `soak`. `sustained-100`, `sustained-500` and `sustained-1000` hold one rate for
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`key-churn` and `soak`. `sustained-100`, `sustained-250`, `sustained-500` and `sustained-1000` hold one rate for
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15 minutes with evenly spaced arrivals and smoke's request mix over every model group;
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`sustained-check` runs the same mix at 100, 500 and 1,000 rps for 2 minutes each, to check that the
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client, mock and stack hold 1,000 rps before the long runs.
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20
litellm-rust/loadtest/workloads/sustained-250.json
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20
litellm-rust/loadtest/workloads/sustained-250.json
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{
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"name": "sustained 250 rps for 15 minutes, evenly spaced arrivals, smoke's request mix over every model group",
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"stages": [{"duration_s": 900, "rps": 250}],
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"arrivals": "constant",
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"nonstream_max_s": 360,
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"warmup_s": 60,
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"max_in_flight": 30000,
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"keys": {"file": "out/keys.txt", "zipf_s": 0},
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"models": {"chat": {"prefix": "gpt-6-astra-", "count": 10}, "messages": {"prefix": "claude-opus-5-5-", "count": 10}},
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"classes": [
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{"name": "chat", "weight": 1, "endpoint": "chat", "stream_fraction": 0.5,
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"context_tokens": {"dist": "loguniform", "min": 10000, "max": 50000},
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"ttft_ms": {"dist": "uniform", "min": 200, "max": 800},
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"duration_s": {"dist": "uniform", "min": 1, "max": 5}},
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{"name": "messages", "weight": 1, "endpoint": "messages", "stream_fraction": 0.5,
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"context_tokens": {"dist": "loguniform", "min": 10000, "max": 50000},
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"ttft_ms": {"dist": "uniform", "min": 200, "max": 800},
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"duration_s": {"dist": "uniform", "min": 1, "max": 5}}
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]
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}
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