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how to benchmark vllm(prefill) + decoder(rilert)? #53
More detailed vLLM logs from the prefill worker (behind :40047). The benchmark output truncates the error and the router's 502 masks the real 400 from the worker, so I need the worker's own log with the full, untruncated 400 message.
The full launch commands for both the prefill (vLLM) and decode (TileRT) servers, with all flags — especially --max-model-len / --max-seq-len / tilert_max_seq_len and --kv-transfer-config.
------------------ Original ------------------
From: Shuang Wu ***@***.***>
Date: Thu,Aug 6,2026 4:16 PM
To: tile-ai/TileRT ***@***.***>
Cc: yiminghub2024 ***@***.***>, Author ***@***.***>
Subject: Re: [tile-ai/TileRT] how to benchmark vllm(prefill) + decoder(rilert)? (Issue #53)
WSEmma left a comment (tile-ai/TileRT#53)
Hi,
we support streaming requests now — it's available in the latest release (v0.1.5.post2).
Please give it a try. Thanks for your feedback!
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WSEmma commentedon Jul 29, 2026
A couple of things need to debug this:
More detailed vLLM logs from the prefill worker (behind :40047). The benchmark output truncates the error and the router's 502 masks the real 400 from the worker, so I need the worker's own log with the full, untruncated 400 message.
The full launch commands for both the prefill (vLLM) and decode (TileRT) servers, with all flags — especially --max-model-len / --max-seq-len / tilert_max_seq_len and --kv-transfer-config.
yiminghub2024 commentedon Jul 31, 2026
vllm-prefill
--served-model-name=glm5.1
--tensor-parallel-size=8
--enforce-eager
--trust-remote-code
--return-tokens-as-token-ids
--gpu-memory-utilization=0.5
--kv-cache-dtype=fp8_ds_mla
--speculative-config '{"method": "mtp", "num_speculative_tokens": 1}'
--kv-transfer-config '{ "kv_connector": "TileRTConnector", "kv_connector_module_path": "tilert.pd_vllm.prefill_connector", "kv_role": "kv_producer", "kv_connector_extra_config":{ "tilert_host":"[10.91.0.187]", "tilert_ctrl_port":5556, "tilert_model":"glm5", "tilert_max_seq_len":202752 } }'
tilert-decoder
--engine=tilert
--model=glm5
--with-mtp
--max-seq-len=202752
--kv-cache-dtype=fp8
--ctrl-port=5556
--http-port=5557
tilert router:
--vllm-url http://10.91.0.187:40046
--decode 10.91.0.187:5556:5557
log:
glm5-ewem3_2026-07-31_23-24-30.txt
glm5.1-prefill-upvqa_2026-07-31_23-24-28.txt
glm5.1-cv5ee_2026-07-31_23-24-32.txt
i know the reason. because rilert router now only support stream:false , error:"{"error":"streaming is supported on /v1/chat/completions"}"
but vllm bench serve only support stream=true benchmark ,so i change the test tool to 'evalscope[perf]' to test ,it support stream:false test
64K/1K*10
evalscope perf
--url http://10.91.0.187:40040/v1/completions
--api openai
--model glm5.1
--dataset random
--tokenizer-path /var/lib/gpustack/cache/model_scope/ZhipuAI/GLM-5.1-FP8
--min-prompt-length 64000 --max-prompt-length 64000
--max-tokens 3000
--number 10 --parallel 1
--no-stream
same with https://vllm.ai/blog/2026-07-14-vllm-tilert-pd
but why not and when tilert router can support stream request ? @WSEmma
WSEmma commentedon Aug 6, 2026
Hi,
we support streaming requests now — it's available in the latest release (v0.1.5.post2).
Please give it a try. Thanks for your feedback!
yiminghub2024 commentedon Aug 6, 2026
yiminghub2024 commentedon Aug 6, 2026
yiminghub2024 commentedon Aug 6, 2026
#58 @WSEmma this is pr for benchmark for tilert ,please take a look thanks