{"schema_version":"onlylabs.public_signal.v1","title":"FriendliAI Repo: friendliai/LLMServingPerfEvaluator","description":"FriendliAI repo signal with public source context, captured evidence pages, related signals, and category-scoped analysis context.","url":"https://onlylabs.fyi/signals/b147e1e7-5121-4efa-831e-40c91197b41c","json_url":"https://onlylabs.fyi/signals/b147e1e7-5121-4efa-831e-40c91197b41c/signal.json","generated_at":"2026-06-11T04:09:57.795746+00:00","org":{"slug":"friendliai","name":"FriendliAI","category":"neocloud","category_label":"Neocloud","dossier_url":"https://onlylabs.fyi/labs/friendliai","dossier_json_url":"https://onlylabs.fyi/labs/friendliai/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/b147e1e7-5121-4efa-831e-40c91197b41c","signal_json":"https://onlylabs.fyi/signals/b147e1e7-5121-4efa-831e-40c91197b41c/signal.json","source":"https://github.com/friendliai/LLMServingPerfEvaluator","lab_dossier":"https://onlylabs.fyi/labs/friendliai","lab_dossier_json":"https://onlylabs.fyi/labs/friendliai/dossier.json","analysis":"https://onlylabs.fyi/analysis/friendliai","analysis_json":"https://onlylabs.fyi/analysis/friendliai/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/friendliai/evidence.json","category":"https://onlylabs.fyi/neoclouds","category_json":"https://onlylabs.fyi/neoclouds.json","category_feed":"https://onlylabs.fyi/neoclouds/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json?category=neocloud","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"FriendliAI published friendliai/LLMServingPerfEvaluator (Python). 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Prerequisites Make sure you have: - [Docker Compose](https://docs.docker.com/compose/) installed - A basic understanding of Docker and Docker Compose Performance Evaluation Overview The evaluation workload sends concurrent inference requests, following a [Poisson distribution](https://en.wikipedia.org/wiki/Poisson_distribution) with a given **request rate (λ)**. The Poisson distribution is used for generating requests with the expectation of λ events in a given interval, meaning that the time interval between requests follows an exponential distribution with a mean of 1/λ. (i.e., greater λ values mean more requests are sent to the engine.) A **workload** is generated by a given **workload_config.yaml**. [Here](./src/workload/README.md) are the details of the workload configuration format. The following [metrics](#1-end-to-end-performance-metrics) are measured in the..."},"evidence_pages":[{"url":"https://github.com/friendliai/LLMServingPerfEvaluator","final_url":"https://github.com/friendliai/LLMServingPerfEvaluator","title":"friendliai/LLMServingPerfEvaluator repository metadata","http_status":200,"content_type":"application/json","capture_method":"plain","fetched_at":"2026-06-11T04:09:57.795746+00:00","bytes":25206,"raw_path":"df51948b83e183c703720a1aee6d409828b5a9a36b336a1404f70183cc2373e1.json","content_hash":"f2722fc91822d245e082f379d485f4d5fb39d39f379fcb78119dbfc5bad94abd","excerpt_chars":1200,"truncated":true,"excerpt":"friendliai/LLMServingPerfEvaluator Language: Python License: Apache-2.0 Stars: 48 Forks: 0 Open issues: 1 Created: 2024-05-21T07:48:20Z Pushed: 2024-09-07T02:40:03Z Default branch: main Fork: no Archived: yes README: LLMServingPerfEvaluator A tool for evaluating the performance of LLM inference serving engines. Prerequisites Make sure you have: - [Docker Compose](https://docs.docker.com/compose/) installed - A basic understanding of Docker and Docker Compose Performance Evaluation Overview The evaluation workload sends concurrent inference requests, following a [Poisson distribution](https://en.wikipedia.org/wiki/Poisson_distribution) with a given **request rate (λ)**. The Poisson distribution is used for generating requests with the expectation of λ events in a given interval, meaning that the time interval between requests follows an exponential distribution with a mean of 1/λ. (i.e., greater λ values mean more requests are sent to the engine.) A **workload** is generated by a given **workload_config.yaml**. [Here](./src/workload/README.md) are the details of the workload configuration format. 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