GitLab

Signed-off-by: zitian.zhao <zitian.zhao@tencentmusic.com>

Signed-off-by: Robert Shaw <robshaw@redhat.com>
Co-authored-by: Robert Shaw <robshaw@redhat.com>

Signed-off-by: Seiji Eicher <seiji@anyscale.com>

Signed-off-by: Vlad Mihailescu <vtmihailescu@gmail.com>

Signed-off-by: Max de Bayser <mbayser@br.ibm.com>
Signed-off-by: Max de Bayser <maxdebayser@gmail.com>
Signed-off-by: 22quinn <33176974+22quinn@users.noreply.github.com>
Co-authored-by: 22quinn <33176974+22quinn@users.noreply.github.com>

Signed-off-by: Saheli Bhattacharjee <saheli@krai.ai>

Signed-off-by: Seiji Eicher <seiji@anyscale.com>

Signed-off-by: simon-mo <simon.mo@hey.com>

Signed-off-by: Nick Hill <nhill@redhat.com>

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

Signed-off-by: Seiji Eicher <seiji@anyscale.com>

Signed-off-by: Chen Zhang <zhangch99@outlook.com>

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

Signed-off-by: rongfu.leng <rongfu.leng@daocloud.io>

Signed-off-by: DarkLight1337 <tlleungac@connect.ust.hk>

[Misc] Change buckets of histogram_iteration_tokens to [1, 8, 16, 32, 64, 128, 256, 512, 1024, 2048, 4096, 8096] to represent number of tokens (#17033)
Signed-off-by: sfc-gh-zhwang <flex.wang@snowflake.com>

Signed-off-by: Zijing Liu <liuzijing2014@gmail.com>
Signed-off-by: Mark McLoughlin <markmc@redhat.com>
Signed-off-by: Nick Hill <nhill@redhat.com>
Co-authored-by: Mark McLoughlin <markmc@redhat.com>
Co-authored-by: Nick Hill <nhill@redhat.com>

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

Signed-off-by: Russell Bryant <rbryant@redhat.com>

[Metrics] Add bucket for `request_latency`, `time_to_first_token` and `time_per_output_token` (#15202)
Signed-off-by: Kay Yan <kay.yan@daocloud.io>

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

Signed-off-by: Nick Hill <nhill@redhat.com>

Signed-off-by: Nick Hill <nhill@redhat.com>

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

Signed-off-by: Nick Hill <nhill@redhat.com>

[WIP][[V1][Metrics] Implement max_num_generation_tokens,  request_params_n, and request_params_max_tokens metrics (#14055)
Signed-off-by: Mark McLoughlin <markmc@redhat.com>

Signed-off-by: Nick Hill <nhill@redhat.com>

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

Signed-off-by: Mark McLoughlin <markmc@redhat.com>

This PR is adding support for sample logprobs & prompt logprobs to vLLM v1.

New behavior:

- During model execution, model runner computes sample logprobs (if user-provided logprobs setting is not None) and prompt logprobs (if user-provided prompt_logprobs setting is not None). For both sample and prompt logprobs, the engine core returns 3 vectors: token ids, token logprob values, token ranks. Ranks reflect tokens' 1-indexed positions in the vocabulary vector after sorting the vocabulary by log probability in descending order.
- In scheduler.update_from_output(), sample and prompt logprobs are incorporated into the EngineCoreOutput data structure which is transferred to the engine client. If multiprocessing is enabled, then sample and prompt logprobs will be (de)serialized when the EngineCoreOutput data structure is (de)serialized.
- During output processing, the LogprobsProcessor transforms the triplet of token ids, token logprobs values, and token ranks into the OpenAI-compatible List[Dict[token id,Logprob]] format (for sample and prompt logprobs respectively.)
- Each Logprob instance (whether sample- or prompt-) consists of a token's log-probability, rank, and detokenized string representation. Note that logprob detokenization is handled by the LogprobsProcessor not the detokenizer.
Signed-off-by: Andrew Feldman <afeldman@neuralmagic.com>
Signed-off-by: Nick Hill <nhill@redhat.com>
Signed-off-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>
Co-authored-by: rshaw@neuralmagic.com <rshaw@neuralmagic.com>
Co-authored-by: Nick Hill <nhill@redhat.com>