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Commit 4f6f63cd authored by Biswa Panda's avatar Biswa Panda Committed by GitHub
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feat: add rust based tokenizer

parent 53163693
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.pre-commit-config.yaml
View file @ 4f6f63cd
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applications/llm/count/Cargo.lock
View file @ 4f6f63cd
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"num-bigint",
"num-traits",
]
[[package]]
name = "bumpalo"
version = "3.17.0"
......@@ -627,9 +638,9 @@ dependencies = [
[[package]]
name = "cc"
version = "1.2.14"
version = "1.2.15"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0c3d1b2e905a3a7b00a6141adb0e4c0bb941d11caf55349d863942a1cc44e3c9"
checksum = "c736e259eea577f443d5c86c304f9f4ae0295c43f3ba05c21f1d66b5f06001af"
dependencies = [
"jobserver",
"libc",
......@@ -946,9 +957,9 @@ dependencies = [
[[package]]
name = "cudarc"
version = "0.13.6"
version = "0.13.7"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "cf16a4eaf3c5c36c9a7e4096bf8611cd963aa71d6b67162d538d7ea13befeeea"
checksum = "4e29ce3bfa797c1183053ceb496316203ef561c183941c3c181500d9ade6daf4"
dependencies = [
"half",
"libloading",
......@@ -1354,6 +1365,16 @@ version = "1.0.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "877a4ace8713b0bcf2a4e7eec82529c029f1d0619886d18145fea96c3ffe5c0f"
[[package]]
name = "erased-serde"
version = "0.4.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "24e2389d65ab4fab27dc2a5de7b191e1f6617d1f1c8855c0dc569c94a4cbb18d"
dependencies = [
"serde",
"typeid",
]
[[package]]
name = "errno"
version = "0.3.10"
......@@ -2482,7 +2503,7 @@ dependencies = [
"rustc-hash",
"serde",
"serde_json",
"toktrie",
"toktrie 0.1.0",
"url",
]
......@@ -2510,9 +2531,9 @@ dependencies = [
[[package]]
name = "log"
version = "0.4.25"
version = "0.4.26"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "04cbf5b083de1c7e0222a7a51dbfdba1cbe1c6ab0b15e29fff3f6c077fd9cd9f"
checksum = "30bde2b3dc3671ae49d8e2e9f044c7c005836e7a023ee57cffa25ab82764bb9e"
[[package]]
name = "lrtable"
......@@ -2589,6 +2610,12 @@ dependencies = [
"stable_deref_trait",
]
[[package]]
name = "memo-map"
version = "0.3.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "38d1115007560874e373613744c6fba374c17688327a71c1476d1a5954cc857b"
[[package]]
name = "metal"
version = "0.27.0"
......@@ -2616,6 +2643,8 @@ version = "2.7.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "cff7b8df5e85e30b87c2b0b3f58ba3a87b68e133738bf512a7713769326dbca9"
dependencies = [
"memo-map",
"self_cell",
"serde",
"serde_json",
]
......@@ -2638,9 +2667,9 @@ checksum = "68354c5c6bd36d73ff3feceb05efa59b6acb7626617f4962be322a825e61f79a"
[[package]]
name = "miniz_oxide"
version = "0.8.4"
version = "0.8.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "b3b1c9bd4fe1f0f8b387f6eb9eb3b4a1aa26185e5750efb9140301703f62cd1b"
checksum = "8e3e04debbb59698c15bacbb6d93584a8c0ca9cc3213cb423d31f760d8843ce5"
dependencies = [
"adler2",
"simd-adler32",
......@@ -2783,12 +2812,12 @@ dependencies = [
"tokenizers",
"tokio",
"tokio-rayon",
"toktrie_hf_tokenizers",
"toktrie_hf_tokenizers 0.1.0",
"toml",
"tqdm",
"tracing",
"tracing-subscriber",
"uuid 1.13.2",
"uuid 1.14.0",
"variantly",
"vob",
]
......@@ -2872,9 +2901,9 @@ checksum = "defc4c55412d89136f966bbb339008b474350e5e6e78d2714439c386b3137a03"
[[package]]
name = "native-tls"
version = "0.2.13"
version = "0.2.14"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0dab59f8e050d5df8e4dd87d9206fb6f65a483e20ac9fda365ade4fab353196c"
checksum = "87de3442987e9dbec73158d5c715e7ad9072fda936bb03d19d7fa10e00520f0e"
dependencies = [
"libc",
"log",
......@@ -3083,6 +3112,16 @@ dependencies = [
"rand",
]
[[package]]
name = "num-bigint"
version = "0.4.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a5e44f723f1133c9deac646763579fdb3ac745e418f2a7af9cd0c431da1f20b9"
dependencies = [
"num-integer",
"num-traits",
]
[[package]]
name = "num-complex"
version = "0.4.6"
......@@ -3099,6 +3138,15 @@ version = "0.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "51d515d32fb182ee37cda2ccdcb92950d6a3c2893aa280e540671c2cd0f3b1d9"
[[package]]
name = "num-integer"
version = "0.1.46"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7969661fd2958a5cb096e56c8e1ad0444ac2bbcd0061bd28660485a44879858f"
dependencies = [
"num-traits",
]
[[package]]
name = "num-traits"
version = "0.2.19"
......@@ -3715,9 +3763,9 @@ checksum = "03251193000f4bd3b042892be858ee50e8b3719f2b08e5833ac4353724632430"
[[package]]
name = "redox_syscall"
version = "0.5.8"
version = "0.5.9"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "03a862b389f93e68874fbf580b9de08dd02facb9a788ebadaf4a3fd33cf58834"
checksum = "82b568323e98e49e2a0899dcee453dd679fae22d69adf9b11dd508d1549b7e2f"
dependencies = [
"bitflags 2.8.0",
]
......@@ -3857,9 +3905,9 @@ dependencies = [
[[package]]
name = "ring"
version = "0.17.9"
version = "0.17.11"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "e75ec5e92c4d8aede845126adc388046234541629e76029599ed35a003c7ed24"
checksum = "da5349ae27d3887ca812fb375b45a4fbb36d8d12d2df394968cd86e35683fe73"
dependencies = [
"cc",
"cfg-if 1.0.0",
......@@ -4093,11 +4141,20 @@ dependencies = [
"libc",
]
[[package]]
name = "self_cell"
version = "1.1.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c2fdfc24bc566f839a2da4c4295b82db7d25a24253867d5c64355abb5799bdbe"
[[package]]
name = "semver"
version = "1.0.25"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f79dfe2d285b0488816f30e700a7438c5a73d816b5b7d3ac72fbc48b0d185e03"
dependencies = [
"serde",
]
[[package]]
name = "seq-macro"
......@@ -4107,18 +4164,18 @@ checksum = "a3f0bf26fd526d2a95683cd0f87bf103b8539e2ca1ef48ce002d67aad59aa0b4"
[[package]]
name = "serde"
version = "1.0.217"
version = "1.0.218"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "02fc4265df13d6fa1d00ecff087228cc0a2b5f3c0e87e258d8b94a156e984c70"
checksum = "e8dfc9d19bdbf6d17e22319da49161d5d0108e4188e8b680aef6299eed22df60"
dependencies = [
"serde_derive",
]
[[package]]
name = "serde_derive"
version = "1.0.217"
version = "1.0.218"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5a9bf7cf98d04a2b28aead066b7496853d4779c9cc183c440dbac457641e19a0"
checksum = "f09503e191f4e797cb8aac08e9a4a4695c5edf6a2e70e376d961ddd5c969f82b"
dependencies = [
"proc-macro2",
"quote",
......@@ -4138,9 +4195,9 @@ dependencies = [
[[package]]
name = "serde_json"
version = "1.0.138"
version = "1.0.139"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d434192e7da787e94a6ea7e9670b26a036d0ca41e0b7efb2676dd32bae872949"
checksum = "44f86c3acccc9c65b153fe1b85a3be07fe5515274ec9f0653b4a0875731c72a6"
dependencies = [
"indexmap 2.7.1",
"itoa",
......@@ -4841,6 +4898,19 @@ dependencies = [
"serde_json",
]
[[package]]
name = "toktrie"
version = "0.6.28"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5f9c32a81c3faff7dde7909b471a5c39970e684b7fb88994a0fe4d9a3fb3a2b1"
dependencies = [
"anyhow",
"bytemuck",
"bytemuck_derive",
"serde",
"serde_json",
]
[[package]]
name = "toktrie_hf_tokenizers"
version = "0.1.0"
......@@ -4852,7 +4922,21 @@ dependencies = [
"serde",
"serde_json",
"tokenizers",
"toktrie",
"toktrie 0.1.0",
]
[[package]]
name = "toktrie_hf_tokenizers"
version = "0.6.28"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9e43a051aef243334de35fe3ba70060e11aa373eeb193cc98cce37383d312002"
dependencies = [
"anyhow",
"log",
"serde",
"serde_json",
"tokenizers",
"toktrie 0.6.28",
]
[[package]]
......@@ -5107,7 +5191,7 @@ dependencies = [
"tokio-util",
"tracing",
"tracing-subscriber",
"uuid 1.13.2",
"uuid 1.14.0",
"validator",
"xxhash-rust",
]
......@@ -5121,25 +5205,35 @@ dependencies = [
"async-trait",
"axum 0.8.1",
"blake3",
"bs62",
"bytes",
"chrono",
"derive_builder",
"either",
"erased-serde",
"futures",
"galil-seiferas",
"indexmap 2.7.1",
"itertools 0.14.0",
"minijinja",
"minijinja-contrib",
"mistralrs",
"prometheus",
"regex",
"semver",
"serde",
"serde_json",
"thiserror 2.0.11",
"tokenizers",
"tokio",
"tokio-stream",
"tokio-util",
"toktrie 0.6.28",
"toktrie_hf_tokenizers 0.6.28",
"tracing",
"triton-distributed",
"unicode-segmentation",
"uuid 1.13.2",
"uuid 1.14.0",
"validator",
"xxhash-rust",
]
......@@ -5161,6 +5255,12 @@ dependencies = [
"tokio",
]
[[package]]
name = "typeid"
version = "1.0.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0e13db2e0ccd5e14a544e8a246ba2312cd25223f616442d7f2cb0e3db614236e"
[[package]]
name = "typenum"
version = "1.18.0"
......@@ -5184,9 +5284,9 @@ checksum = "eeba86d422ce181a719445e51872fa30f1f7413b62becb52e95ec91aa262d85c"
[[package]]
name = "unicode-ident"
version = "1.0.16"
version = "1.0.17"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a210d160f08b701c8721ba1c726c11662f877ea6b7094007e1ca9a1041945034"
checksum = "00e2473a93778eb0bad35909dff6a10d28e63f792f16ed15e404fca9d5eeedbe"
[[package]]
name = "unicode-normalization-alignments"
......@@ -5287,9 +5387,9 @@ dependencies = [
[[package]]
name = "uuid"
version = "1.13.2"
version = "1.14.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "8c1f41ffb7cf259f1ecc2876861a17e7142e63ead296f671f81f6ae85903e0d6"
checksum = "93d59ca99a559661b96bf898d8fce28ed87935fd2bea9f05983c1464dd6c71b1"
dependencies = [
"getrandom 0.3.1",
"serde",
......@@ -5756,9 +5856,9 @@ checksum = "589f6da84c646204747d1270a2a5661ea66ed1cced2631d546fdfb155959f9ec"
[[package]]
name = "winnow"
version = "0.7.2"
version = "0.7.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "59690dea168f2198d1a3b0cac23b8063efcd11012f10ae4698f284808c8ef603"
checksum = "0e7f4ea97f6f78012141bcdb6a216b2609f0979ada50b20ca5b52dde2eac2bb1"
dependencies = [
"memchr",
]
......
container/Dockerfile
View file @ 4f6f63cd
......@@ -25,7 +25,10 @@ USER root
# TODO: separate dev from runtime dependendcies
# Rust build/dev dependencies
RUN apt-get update; apt-get install -y gdb protobuf-compiler
RUN apt-get update && \
apt-get install --no-install-recommends --yes gdb protobuf-compiler cmake libssl-dev pkg-config
RUN curl https://sh.rustup.rs -sSf | bash -s -- -y
ENV PATH="/root/.cargo/bin:${PATH}"
......
container/Dockerfile.vllm
View file @ 4f6f63cd
......@@ -62,7 +62,10 @@ RUN ln -sf /bin/bash /bin/sh
RUN apt update -y && \
apt install -y \
build-essential \
protobuf-compiler && \
protobuf-compiler \
cmake \
libssl-dev \
pkg-config && \
curl https://sh.rustup.rs -sSf | bash -s -- -y
ENV PATH="/root/.cargo/bin:${PATH}"
......
examples/rust/Cargo.lock
View file @ 4f6f63cd
......@@ -93,9 +93,9 @@ dependencies = [
[[package]]
name = "anyhow"
version = "1.0.95"
version = "1.0.96"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "34ac096ce696dc2fcabef30516bb13c0a68a11d30131d3df6f04711467681b04"
checksum = "6b964d184e89d9b6b67dd2715bc8e74cf3107fb2b529990c90cf517326150bf4"
[[package]]
name = "arrayref"
......@@ -115,7 +115,7 @@ version = "0.38.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "76433c4de73442daedb3a59e991d94e85c14ebfc33db53dfcd347a21cd6ef4f8"
dependencies = [
"base64",
"base64 0.22.1",
"bytes",
"futures",
"memchr",
......@@ -332,9 +332,15 @@ dependencies = [
"miniz_oxide",
"object",
"rustc-demangle",
"windows-targets",
"windows-targets 0.52.6",
]
[[package]]
name = "base64"
version = "0.13.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9e1b586273c5702936fe7b7d6896644d8be71e6314cfe09d3167c95f712589e8"
[[package]]
name = "base64"
version = "0.22.1"
......@@ -382,6 +388,17 @@ dependencies = [
"generic-array",
]
[[package]]
name = "bs62"
version = "0.1.4"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "afdf0f7a8a430954ae6cba49be4af8fa3a4bee15d9210aa8a82aee6abca531bd"
dependencies = [
"lazy_static",
"num-bigint",
"num-traits",
]
[[package]]
name = "bumpalo"
version = "3.17.0"
......@@ -400,6 +417,17 @@ version = "1.21.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ef657dfab802224e671f5818e9a4935f9b1957ed18e58292690cc39e7a4092a3"
[[package]]
name = "bytemuck_derive"
version = "1.8.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "3fa76293b4f7bb636ab88fd78228235b5248b4d05cc589aed610f954af5d7c7a"
dependencies = [
"proc-macro2",
"quote",
"syn 2.0.98",
]
[[package]]
name = "byteorder"
version = "1.5.0"
......@@ -417,9 +445,9 @@ dependencies = [
[[package]]
name = "cc"
version = "1.2.14"
version = "1.2.15"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0c3d1b2e905a3a7b00a6141adb0e4c0bb941d11caf55349d863942a1cc44e3c9"
checksum = "c736e259eea577f443d5c86c304f9f4ae0295c43f3ba05c21f1d66b5f06001af"
dependencies = [
"jobserver",
"libc",
......@@ -466,7 +494,7 @@ dependencies = [
"num-traits",
"serde",
"wasm-bindgen",
"windows-targets",
"windows-targets 0.52.6",
]
[[package]]
......@@ -515,6 +543,19 @@ version = "1.0.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5b63caa9aa9397e2d9480a9b13673856c78d8ac123288526c37d7839f2a86990"
[[package]]
name = "console"
version = "0.15.10"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ea3c6ecd8059b57859df5c69830340ed3c41d30e3da0c1cbed90a96ac853041b"
dependencies = [
"encode_unicode",
"libc",
"once_cell",
"unicode-width",
"windows-sys 0.59.0",
]
[[package]]
name = "const-oid"
version = "0.9.6"
......@@ -562,6 +603,15 @@ dependencies = [
"libc",
]
[[package]]
name = "crc32fast"
version = "1.4.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "a97769d94ddab943e4510d138150169a2758b5ef3eb191a9ee688de3e23ef7b3"
dependencies = [
"cfg-if 1.0.0",
]
[[package]]
name = "crossbeam"
version = "0.8.4"
......@@ -695,6 +745,12 @@ version = "2.8.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "575f75dfd25738df5b91b8e43e14d44bda14637a58fae779fd2b064f8bf3e010"
[[package]]
name = "defmac"
version = "0.1.3"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "aafbece59594ed57696a1a69e8bb3ca1683fbc9cdb41d5c02726070b2cd8f19d"
[[package]]
name = "der"
version = "0.7.9"
......@@ -779,6 +835,27 @@ dependencies = [
"walkdir",
]
[[package]]
name = "dirs"
version = "5.0.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "44c45a9d03d6676652bcb5e724c7e988de1acad23a711b5217ab9cbecbec2225"
dependencies = [
"dirs-sys",
]
[[package]]
name = "dirs-sys"
version = "0.4.1"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "520f05a5cbd335fae5a99ff7a6ab8627577660ee5cfd6a94a6a929b52ff0321c"
dependencies = [
"libc",
"option-ext",
"redox_users",
"windows-sys 0.48.0",
]
[[package]]
name = "displaydoc"
version = "0.2.5"
......@@ -833,6 +910,12 @@ dependencies = [
"serde",
]
[[package]]
name = "encode_unicode"
version = "1.0.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "34aa73646ffb006b8f5147f3dc182bd4bcb190227ce861fc4a4844bf8e3cb2c0"
[[package]]
name = "enum-ordinalize"
version = "4.3.0"
......@@ -859,6 +942,16 @@ version = "1.0.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "877a4ace8713b0bcf2a4e7eec82529c029f1d0619886d18145fea96c3ffe5c0f"
[[package]]
name = "erased-serde"
version = "0.4.5"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "24e2389d65ab4fab27dc2a5de7b191e1f6617d1f1c8855c0dc569c94a4cbb18d"
dependencies = [
"serde",
"typeid",
]
[[package]]
name = "errno"
version = "0.3.10"
......@@ -869,6 +962,15 @@ dependencies = [
"windows-sys 0.59.0",
]
[[package]]
name = "esaxx-rs"
version = "0.1.10"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "d817e038c30374a4bcb22f94d0a8a0e216958d4c3dcde369b1439fec4bdda6e6"
dependencies = [
"cc",
]
[[package]]
name = "etcd-client"
version = "0.14.1"
......@@ -920,12 +1022,37 @@ version = "0.5.7"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1d674e81391d1e1ab681a28d99df07927c6d4aa5b027d7da16ba32d1d21ecd99"
[[package]]
name = "flate2"
version = "1.0.35"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "c936bfdafb507ebbf50b8074c54fa31c5be9a1e7e5f467dd659697041407d07c"
dependencies = [
"crc32fast",
"miniz_oxide",
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version = "0.11.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "f21c66315e346665798e116d1c21201434715e13dd691f3f33f6276746d0b71f"
dependencies = [
"cc",
"cmake",
"pkg-config",
]
[[package]]
name = "seq-macro"
......@@ -4865,7 +5032,7 @@ dependencies = [
"derive_builder",
"esaxx-rs",
"getrandom 0.2.15",
"hf-hub",
"hf-hub 0.3.2",
"indicatif",
"itertools 0.12.1",
"lazy_static",
......@@ -5005,6 +5172,19 @@ dependencies = [
"serde_json",
]
[[package]]
name = "toktrie"
version = "0.6.28"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "5f9c32a81c3faff7dde7909b471a5c39970e684b7fb88994a0fe4d9a3fb3a2b1"
dependencies = [
"anyhow",
"bytemuck",
"bytemuck_derive",
"serde",
"serde_json",
]
[[package]]
name = "toktrie_hf_tokenizers"
version = "0.1.0"
......@@ -5016,7 +5196,21 @@ dependencies = [
"serde",
"serde_json",
"tokenizers",
"toktrie",
"toktrie 0.1.0",
]
[[package]]
name = "toktrie_hf_tokenizers"
version = "0.6.28"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "9e43a051aef243334de35fe3ba70060e11aa373eeb193cc98cce37383d312002"
dependencies = [
"anyhow",
"log",
"serde",
"serde_json",
"tokenizers",
"toktrie 0.6.28",
]
[[package]]
......@@ -5073,7 +5267,7 @@ dependencies = [
"hyper-util",
"percent-encoding",
"pin-project",
"prost",
"prost 0.13.4",
"socket2",
"tokio",
"tokio-stream",
......@@ -5285,26 +5479,38 @@ dependencies = [
"async-trait",
"axum 0.8.1",
"blake3",
"bs62",
"bytes",
"chrono",
"derive_builder",
"either",
"erased-serde",
"futures",
"galil-seiferas",
"hf-hub 0.4.1",
"indexmap 2.7.1",
"insta",
"itertools 0.14.0",
"minijinja",
"minijinja-contrib",
"mistralrs",
"prometheus",
"proptest",
"regex",
"reqwest",
"rstest",
"semver",
"sentencepiece",
"serde",
"serde_json",
"tempfile",
"thiserror 2.0.11",
"tokenizers",
"tokio",
"tokio-stream",
"tokio-util",
"toktrie 0.6.28",
"toktrie_hf_tokenizers 0.6.28",
"tracing",
"triton-distributed",
"unicode-segmentation",
......@@ -5330,6 +5536,12 @@ dependencies = [
"tokio",
]
[[package]]
name = "typeid"
version = "1.0.2"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "0e13db2e0ccd5e14a544e8a246ba2312cd25223f616442d7f2cb0e3db614236e"
[[package]]
name = "typenum"
version = "1.17.0"
......
llm/rust/triton-llm/Cargo.toml
View file @ 4f6f63cd
......@@ -25,6 +25,7 @@ homepage.workspace = true
mistralrs = ["dep:mistralrs"]
metal = ["mistralrs/metal"]
cuda = ["mistralrs/cuda"]
sentencepiece = ["dep:sentencepiece"]
[dependencies]
......@@ -71,9 +72,39 @@ either = { version = "1.13" }
indexmap = { version = "2.6" }
mistralrs = { git = "https://github.com/EricLBuehler/mistral.rs.git", rev = "5e689c9", optional = true }
# tokenizers
tokenizers = { version = "0.21.0", default-features = false, features = [
"onig",
"esaxx_fast",
] }
sentencepiece = { version = "0.11.2", optional = true }
# backend
galil-seiferas = { version = "0.1" }
toktrie = {version = "0.6.28" }
toktrie_hf_tokenizers = { version = "0.6.28" }
# preprocessor
bs62 = { version = "0.1" }
erased-serde = { version = "0.4" }
itertools = { version = "0.14.0" }
minijinja = { version = "2.3.1", features = ["loader"] }
minijinja-contrib = { version = "2.3.1", features = ["pycompat"] }
semver = { version = "1", features = ["serde"] }
[dev-dependencies]
insta = { version = "1.41", features = ["glob", "json", "redactions"]}
proptest = "1.5.0"
reqwest = { version = "0.12", default-features = false, features = ["json", "stream", "rustls-tls"] }
rstest = "0.18.2"
tempfile = "3.17.1"
hf-hub = "0.4.1"
insta = { version = "1.41", features = [
"glob",
"json",
"redactions",
"filters",
] }
[profile.dev.package]
insta.opt-level = 3
\ No newline at end of file
llm/rust/triton-llm/src/backend.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//! Backend
//!
//! An [`Backend`] is the final stage of the pipeline. It represents the execution of the LLM
//! on some processing hardware.
//!
//! At minimum, the Backend is split into two components, the [`Backend`] itself and a downstream [`ExecutionContext`].
//!
//! The [`ExecutionContext`] can be thought of as the core driver of the forward pass, whereas the [`Backend`] is the
//! manager of all resources and concurrent tasks surrounding the LLM execution context / forward pass.
//!
//! For almost every known scenario, detokenization and initial post processing must happen in the Backend.
//! Further post-processing can happen in the response stream. One example is the jailing mechanism for partial
//! hidden stop condition matches, which can be handled in the response stream rather than the backend.
use std::{collections::HashSet, sync::Arc};
use anyhow::{Error, Result};
use futures::stream::{self, StreamExt};
use tracing as log;
use crate::model_card::model::{ModelDeploymentCard, TokenizerKind};
use triton_distributed::{
pipeline::{
async_trait, AsyncEngineContextProvider, ManyOut, Operator, ResponseStream,
ServerStreamingEngine, SingleIn,
},
protocols::annotated::Annotated,
};
use crate::protocols::{
common::{
llm_backend::{BackendInput, BackendOutput, FinishReason, LLMEngineOutput},
StopConditions,
},
TokenIdType,
};
use crate::tokenizers::{DecodeStream, HuggingFaceTokenizer, Tokenizer};
use tokenizers::Tokenizer as HfTokenizer;
use toktrie::TokTrie;
use toktrie_hf_tokenizers::ByteTokenizer;
/// Represents the output stream from the execution engine
pub type ExecutionOutputStream = Annotated<LLMEngineOutput>;
/// Context for executing LLM inference, engine consumes backend input and produces execution output stream
pub type ExecutionContext = ServerStreamingEngine<BackendInput, ExecutionOutputStream>;
/// Backend handles resource management and orchestrates LLM execution
#[allow(dead_code)]
pub struct Backend {
mdc: ModelDeploymentCard,
pub tokenizer: Tokenizer, // Handles token encoding/decoding
tok_trie: Arc<TokTrie>, // Efficient token lookup structure
eos_token_ids: Vec<TokenIdType>, // End of sequence token IDs
validate_engine_decode: bool, // Enable validation of engine decoding
mdcsum: String, // Model deployment checksum
}
/// Internal state for managing token decoding and stream processing
#[allow(dead_code)]
struct DecoderUnfoldState {
stream: ManyOut<ExecutionOutputStream>,
decoder: Decoder,
validate_engine_decode: bool,
mdcsum: String,
}
impl Backend {
pub async fn from_mdc(mdc: ModelDeploymentCard) -> Result<Arc<Self>> {
let info = mdc.model_info.get_model_info().await?;
let tokenizer = match &mdc.tokenizer {
TokenizerKind::HfTokenizerJson(file) => {
HfTokenizer::from_file(&file).map_err(Error::msg)?
}
};
let bt = ByteTokenizer::from_tokenizer(tokenizer.clone())?;
let toktrie = TokTrie::from(&bt.tokrx_info(), &bt.token_bytes());
let mdcsum = mdc.mdcsum();
let tokenizer = HuggingFaceTokenizer::from_tokenizer(tokenizer);
let tokenizer = Tokenizer::from(Arc::new(tokenizer));
Ok(Arc::new(Self {
mdc,
tokenizer,
tok_trie: Arc::new(toktrie),
eos_token_ids: info.eos_token_ids(),
validate_engine_decode: false,
mdcsum,
}))
}
fn decoder(
&self,
stream: ManyOut<ExecutionOutputStream>,
stop_conditions: StopConditions,
) -> DecoderUnfoldState {
let decoder = Decoder::new(
self.tokenizer.decode_stream(false),
stop_conditions,
self.mdcsum.clone(),
);
DecoderUnfoldState {
stream,
decoder,
validate_engine_decode: self.validate_engine_decode,
mdcsum: self.mdcsum.clone(),
}
}
}
#[async_trait]
impl
Operator<
SingleIn<BackendInput>,
ManyOut<Annotated<BackendOutput>>,
SingleIn<BackendInput>,
ManyOut<Annotated<LLMEngineOutput>>,
> for Backend
{
async fn generate(
&self,
request: SingleIn<BackendInput>,
next: ServerStreamingEngine<BackendInput, Annotated<LLMEngineOutput>>,
) -> Result<ManyOut<Annotated<BackendOutput>>> {
// possible use the request
let mut stop_conditions = request.stop_conditions.clone();
// preprocessor should have set max_tokens
// assert!(stop_conditions.max_tokens.is_some());
if stop_conditions.max_tokens.is_none() {
log::warn!("max_tokens is not set in stop_conditions; fixme");
stop_conditions.max_tokens = Some(256);
}
let next_stream = next.generate(request).await?;
let context = next_stream.context();
let state = self.decoder(next_stream, stop_conditions);
let processed_stream = stream::unfold(state, |mut state| async move {
match state.stream.next().await {
Some(output) => {
// move to state.process_output
// handle any error conditions / unwraps here
// events are pass thru
if output.is_event() || output.data.is_none() {
return Some((output, state));
}
// if we have a data field without an event, then we might need to update the data
if let Some(data) = &output.data {
if data.text.is_some() && !state.validate_engine_decode {
return Some((output, state));
}
}
let data = output.data.as_ref().unwrap();
let result = state.decoder.process_token_ids(&data.token_ids).unwrap();
// todo - propagate finish reason details - possibly an annotation
let finish_reason = match &result.stop_trigger {
Some(StopTrigger::MaxTokensLimit) => Some(FinishReason::Length),
Some(StopTrigger::HiddenStopTokenDetected(_)) => Some(FinishReason::Stop),
Some(StopTrigger::HiddenStopSequenceDetected(_)) => {
Some(FinishReason::Stop)
}
None => None,
};
if data.finish_reason.is_none() && finish_reason.is_some() {
tracing::debug!(
?result.stop_trigger,
"upstream did not provide a finish reason; issuing a stop_generation request to free resources",
);
state.stream.context().stop_generating();
}
let text = result.text;
let tokens = result.tokens;
if state.validate_engine_decode {
if data.finish_reason != finish_reason {
log::warn!(
"finish reason mismatch: expected {:?}, got {:?}",
data.finish_reason,
finish_reason
);
}
if data.text.is_some() && data.text != text {
log::warn!("text mismatch: expected {:?}, got {:?}", data.text, text);
}
}
// update output in-place
let mut output = output;
let mut data = output.data.take().unwrap();
data.finish_reason = finish_reason;
data.text = text;
data.tokens = Some(tokens);
output.data = Some(data);
Some((output, state))
}
None => None,
}
});
// convert stream of processed Annotated<LLMEngineOutput> to Annotated<BackendOutput>
let mdcsum = self.mdcsum.clone();
let stream = processed_stream.map(move |output| {
output.map_data(|data| {
Ok(BackendOutput {
token_ids: data.token_ids,
tokens: data.tokens.unwrap_or_default(),
text: data.text,
cum_log_probs: data.cum_log_probs,
log_probs: data.log_probs,
finish_reason: data.finish_reason,
mdcsum: mdcsum.clone(),
})
})
});
Ok(ResponseStream::new(Box::pin(stream), context))
}
}
// todo - add visible stop conditions
// visible_stop_ids: HashSet<TokenIdType>,
// visible_stop_sequences: Vec<String>,
/// The [`Decoder`] object could be a member of either the internal LLM engine or part of the
/// postprocessor. If in the postprocessor, should be minimally in the same process or at very minimum
/// on the same physical machine connected by an IPC.
#[allow(dead_code)]
pub struct Decoder {
decode_stream: DecodeStream,
// do not trigger stop conditions until at least this many tokens have been generated
min_tokens: u32,
// maximum number of tokens to generate - the llm engine should enforce this
max_tokens: u32,
// single tokens that if found in the response will trigger a stop condition after the
// minimum number of tokens have been generated
hidden_stop_ids: HashSet<TokenIdType>,
// text sequences that if found in the response will trigger a stop condition after the
// minimum number of tokens have been generated
hidden_stop_sequences: Vec<String>,
// number of generated tokens
generated_tokens: u32,
// content jailed by partial hidden stop matches
jail: String,
// maximum number of bytes for the largest stop sequence
jail_max_bytes: usize,
// the number of bytes currently jailed
jailed_bytes: usize,
// mdcsum
mdcsum: String,
}
#[allow(dead_code)]
#[derive(Debug)]
pub enum StopTrigger {
MaxTokensLimit,
HiddenStopTokenDetected(TokenIdType),
HiddenStopSequenceDetected(String),
}
impl StopTrigger {
pub fn should_hide_text(&self) -> bool {
match self {
StopTrigger::MaxTokensLimit => false,
StopTrigger::HiddenStopTokenDetected(_) => true,
StopTrigger::HiddenStopSequenceDetected(_) => true,
}
}
}
pub struct StepResult {
pub token: Option<String>,
pub stop_trigger: Option<StopTrigger>,
}
impl StepResult {
fn ok(token: Option<String>) -> Self {
Self {
token,
stop_trigger: None,
}
}
fn with_stop_trigger(token: Option<String>, stop_trigger: StopTrigger) -> Self {
Self {
token,
stop_trigger: Some(stop_trigger),
}
}
}
/// Result of processing a sequence of tokens
pub struct SeqResult {
pub tokens: Vec<Option<String>>, // Individual decoded tokens
pub text: Option<String>, // Combined decoded text
pub stop_trigger: Option<StopTrigger>, // Reason for stopping generation, if any
}
#[allow(dead_code)]
impl Decoder {
pub fn new(
decode_stream: DecodeStream,
stop_condition: StopConditions,
mdcsum: String,
) -> Self {
let hidden_stop_ids: HashSet<TokenIdType> = stop_condition
.stop_token_ids_hidden
.unwrap_or_default()
.iter()
.copied()
.collect();
let hidden_stop_sequences: Vec<String> = stop_condition
.stop
.unwrap_or_default()
.iter()
.map(|x| x.to_string())
.collect();
let jail_max_bytes = hidden_stop_sequences
.iter()
.map(|x| x.len())
.max()
.unwrap_or(0);
Self {
decode_stream,
hidden_stop_ids,
hidden_stop_sequences,
//visible_stop_ids: HashSet::new(),
//visible_stop_sequences: Vec::new(),
min_tokens: stop_condition.min_tokens.unwrap_or(0),
max_tokens: stop_condition.max_tokens.expect("max_tokens is required"),
generated_tokens: 0,
jail: String::new(),
jail_max_bytes,
jailed_bytes: 0,
mdcsum,
}
}
/// Minimum amount of work to determine if a given generated/decoded sequence should be stopped
/// This method can be called by the inner most loop of the LLM engine or minimally in the same
/// process as the LLM engine.
///
/// In the future, this method may kick off async cpu/tokio tasks and or async cuda tasks to
/// handle logits post-processing and/or other tasks.
pub fn step(&mut self, token_id: TokenIdType) -> Result<StepResult> {
// increment the generated tokens
self.generated_tokens += 1;
// decode the token
let token = self.decode_stream.step(token_id)?;
// stop conditions to not apply until the minimum number of tokens have been generated
if self.generated_tokens < self.min_tokens {
return Ok(StepResult::ok(token));
}
// check for hidden stop tokens - eos takes precedence
if self.hidden_stop_ids.contains(&token_id) {
return Ok(StepResult::with_stop_trigger(
token,
StopTrigger::HiddenStopTokenDetected(token_id),
));
}
// next check max_tokens limit
if self.generated_tokens >= self.max_tokens {
return Ok(StepResult::with_stop_trigger(
token,
StopTrigger::MaxTokensLimit,
));
}
// check stop sequences - the jail will always hold at least the largest stop sequence
// if jail_max_bytes is 0, then there are no stop sequences
if self.jail_max_bytes > 0 {
if let Some(token) = &token {
let pre_append = self.jail.len();
log::debug!("pre_append: {}", pre_append);
log::debug!("jail: {}", self.jail);
self.jail.push_str(token);
log::debug!("post_append: {}", self.jail.len());
log::debug!("jail: {}", self.jail);
for seq in &self.hidden_stop_sequences {
log::debug!("stop seq: {}", seq);
if let Some(offset) =
galil_seiferas::gs_find(self.jail.as_bytes(), seq.as_bytes())
{
log::debug!("offset: {}", offset);
// return only new bytes after pre_append .. offset+seq.len()
// example: seq = "ox", token = "boxes", return "b"
// note: this changes when we start jailing tokens for partial matches
// on the suffix of teh jail with prefixes of the stop sequences
//
// we might have returned a partial match, if so, then offset < pre_append
// in that case, we return the empty string
let partial_token = if offset >= pre_append {
self.jail[pre_append..offset].to_string()
} else {
"".to_string()
};
return Ok(StepResult::with_stop_trigger(
Some(partial_token),
StopTrigger::HiddenStopSequenceDetected(seq.to_string()),
));
}
}
if self.jail.len() > self.jail_max_bytes {
// truncate the jail
let drain_len = self.jail.len() - self.jail_max_bytes;
self.jail.drain(0..drain_len);
}
}
}
Ok(StepResult::ok(token))
}
pub fn process_token_ids(&mut self, token_ids: &[TokenIdType]) -> Result<SeqResult> {
let mut text: Option<String> = None;
let mut tokens = Vec::new();
for token_id in token_ids {
let StepResult {
token,
stop_trigger,
} = self.step(*token_id)?;
let hide_text = stop_trigger
.as_ref()
.map(|x| x.should_hide_text())
.unwrap_or(false);
if !hide_text {
if let Some(token) = &token {
text.get_or_insert_with(String::new).push_str(token);
}
}
tokens.push(token);
if let Some(stop_trigger) = stop_trigger {
return Ok(SeqResult {
tokens,
text,
stop_trigger: Some(stop_trigger),
});
}
}
Ok(SeqResult {
tokens,
text,
stop_trigger: None,
})
}
fn return_token(&self, token: Option<String>) -> StepResult {
StepResult {
token,
stop_trigger: None,
}
}
fn return_with_stop_trigger(
&self,
token: Option<String>,
stop_trigger: StopTrigger,
) -> StepResult {
StepResult {
token,
stop_trigger: Some(stop_trigger),
}
}
fn jailed_string(&self) -> Option<String> {
if self.jailed_bytes > 0 {
// get the last jailed_bytes from the jail
Some(self.jail[self.jail.len() - self.jailed_bytes..].to_string())
} else {
None
}
}
}
llm/rust/triton-llm/src/lib.rs
View file @ 4f6f63cd
......@@ -18,10 +18,13 @@
//! The `triton-llm` crate is a Rust library that provides a set of traits and types for building
//! distributed LLM inference solutions.
pub mod backend;
pub mod common;
pub mod engines;
pub mod http;
pub mod kv_router;
pub mod model_card;
pub mod preprocessor;
pub mod protocols;
pub mod tokenizers;
pub mod types;
llm/rust/triton-llm/src/model_card/create.rs
View file @ 4f6f63cd
......@@ -38,7 +38,10 @@ impl ModelDeploymentCard {
/// - The path doesn't exist or isn't a directory
/// - The path contains invalid Unicode characters
/// - Required model files are missing or invalid
pub async fn from_local_path(local_root_dir: impl AsRef<Path>) -> anyhow::Result<Self> {
pub async fn from_local_path(
local_root_dir: impl AsRef<Path>,
model_name: Option<String>,
) -> anyhow::Result<Self> {
let local_root_dir = local_root_dir.as_ref();
check_valid_local_repo_path(local_root_dir)?;
let repo_id = local_root_dir
......@@ -46,11 +49,14 @@ impl ModelDeploymentCard {
.to_str()
.ok_or_else(|| anyhow::anyhow!("Path contains invalid Unicode"))?
.to_string();
let model_name = local_root_dir
.file_name()
.and_then(|n| n.to_str())
.ok_or_else(|| anyhow::anyhow!("Invalid model directory name"))?;
Self::from_repo(&repo_id, model_name).await
let model_name = model_name.unwrap_or(
local_root_dir
.file_name()
.and_then(|n| n.to_str())
.ok_or_else(|| anyhow::anyhow!("Invalid model directory name"))?
.to_string(),
);
Self::from_repo(&repo_id, &model_name).await
}
/// TODO: This will be implemented after nova-hub is integrated with the model-card
......
llm/rust/triton-llm/src/preprocessor.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//! The Preprocessor consists of the following modules
//!
//! - `translation`: This module converts the allowed Ingress message types to the corresponding
//! internal representation.
//! - `apply`: This module applies ModelConfig defaults to any empty optional fields specified
//! - `prompt`: This module applies any prompt template logic to the internal Request object.
//! - `tokenize`: This module tokenizes the formatted prompt string and returns the token ids.
//!
//! The Preprocessor will accept any IngressRequest and transform it to a BackendRequest.
pub mod prompt;
pub mod tools;
use anyhow::Result;
use futures::stream::{self, StreamExt};
use prompt::OAIPromptFormatter;
use std::{collections::HashMap, sync::Arc};
use tracing;
use crate::model_card::model::{ModelDeploymentCard, ModelInfo, TokenizerKind};
use crate::preprocessor::prompt::OAIChatLikeRequest;
use triton_distributed::engine::{AsyncEngine, AsyncEngineContextProvider, ResponseStream};
use triton_distributed::pipeline::{
async_trait, AsyncEngineContext, Error, ManyOut, Operator, SingleIn,
};
use triton_distributed::protocols::annotated::{Annotated, AnnotationsProvider};
use crate::protocols::{
common::{SamplingOptionsProvider, StopConditionsProvider},
openai::{
chat_completions::{ChatCompletionRequest, ChatCompletionResponseDelta},
completions::{CompletionRequest, CompletionResponse},
nvext::NvExtProvider,
DeltaGeneratorExt,
},
};
use crate::tokenizers::{traits::Tokenizer, HuggingFaceTokenizer};
use crate::preprocessor::prompt::PromptFormatter;
pub use crate::protocols::common::llm_backend::{BackendInput, BackendOutput};
pub const ANNOTATION_FORMATTED_PROMPT: &str = "formatted_prompt";
pub const ANNOTATION_TOKEN_IDS: &str = "token_ids";
pub struct OpenAIPreprocessor {
mdcsum: String,
formatter: Arc<dyn OAIPromptFormatter>,
tokenizer: Arc<dyn Tokenizer>,
model_info: Arc<dyn ModelInfo>,
}
impl OpenAIPreprocessor {
pub async fn new(mdc: ModelDeploymentCard) -> Result<Arc<Self>> {
let formatter = PromptFormatter::from_mdc(mdc.clone()).await?;
let PromptFormatter::OAI(formatter) = formatter;
let tokenizer = match &mdc.tokenizer {
TokenizerKind::HfTokenizerJson(file) => HuggingFaceTokenizer::from_file(&file)?,
};
let tokenizer = Arc::new(tokenizer);
let model_info = mdc.model_info.get_model_info().await?;
let mdcsum = mdc.mdcsum();
Ok(Arc::new(Self {
formatter,
tokenizer,
model_info,
mdcsum,
}))
}
/// Translate a [`ChatCompletionRequest`] request to a common completion request.
/// Returns both the common completion request and a hashmap of annotations.
///
/// Annotations evaluated by this method include:
/// - `formatted_prompt`
/// - `token_ids`
pub fn preprocess_request<
R: OAIChatLikeRequest
+ AnnotationsProvider
+ SamplingOptionsProvider
+ StopConditionsProvider
+ NvExtProvider,
>(
&self,
request: &R,
) -> Result<(BackendInput, HashMap<String, String>)> {
let mut annotations = HashMap::new();
let mut builder = BackendInput::builder();
let use_raw_prompt = request
.nvext()
.map_or(false, |ext| ext.use_raw_prompt.unwrap_or(false));
let formatted_prompt = if use_raw_prompt {
match request.raw_prompt() {
Some(prompt) => prompt,
None => {
tracing::warn!("Raw prompt requested but not available");
self.formatter.render(request)?
}
}
} else {
self.formatter.render(request)?
};
let encoding = tokio::task::block_in_place(|| self.tokenizer.encode(&formatted_prompt))?;
if request.has_annotation(ANNOTATION_FORMATTED_PROMPT) {
annotations.insert(ANNOTATION_FORMATTED_PROMPT.to_string(), formatted_prompt);
}
if request.has_annotation(ANNOTATION_TOKEN_IDS) {
annotations.insert(
ANNOTATION_TOKEN_IDS.to_string(),
serde_json::to_string(&encoding.token_ids)?,
);
}
let mut stop_conditions = request.extract_stop_conditions()?;
// todo - pull this from the mdc default sampling/stop params
if stop_conditions.max_tokens.is_none() {
stop_conditions.max_tokens = Some(64);
}
if let Some(stop_tokens) = &mut stop_conditions.stop_token_ids_hidden {
for eos_token in self.model_info.eos_token_ids() {
if !stop_tokens.contains(&eos_token) {
stop_tokens.push(eos_token);
}
}
} else {
stop_conditions.stop_token_ids_hidden = Some(self.model_info.eos_token_ids());
}
// apply ignore eos if not already set
stop_conditions.apply_ignore_eos();
if !stop_conditions.ignore_eos.unwrap_or(false) {
builder.eos_token_ids(self.model_info.eos_token_ids());
}
builder.token_ids(encoding.token_ids);
builder.sampling_options(request.extract_sampling_options()?);
builder.stop_conditions(stop_conditions);
builder.annotations(request.annotations().unwrap_or_default());
builder.mdc_sum(Some(self.mdcsum.clone()));
Ok((builder.build()?, annotations))
}
pub fn transform_postprocessor_stream<Resp: Send + Sync + 'static + std::fmt::Debug>(
stream: ManyOut<Annotated<BackendOutput>>,
generator: Box<dyn DeltaGeneratorExt<Resp>>,
) -> ManyOut<Annotated<Resp>> {
let context = stream.context();
struct State<Resp: Send + Sync + 'static + std::fmt::Debug> {
response_stream: ManyOut<Annotated<BackendOutput>>,
response_generator: Box<dyn DeltaGeneratorExt<Resp>>,
context: Arc<dyn AsyncEngineContext>,
cancelled: bool,
}
let state = State {
response_stream: stream,
response_generator: generator,
context: context.clone(),
cancelled: false,
};
// transform the common response stream into a chat response stream
let stream = stream::unfold(state, |mut inner| {
async move {
if let Some(response) = inner.response_stream.next().await {
if inner.cancelled {
tracing::debug!(
request_id = inner.context.id(),
"Cancellation issued last message; closing stream"
);
return None;
}
tracing::trace!(
request_id = inner.context.id(),
"Processing common response: {:?}",
response
);
let response = response.map_data(|data| {
inner
.response_generator
.choice_from_postprocessor(data)
.inspect_err(|e| {
tracing::error!(
request_id = inner.context.id(),
"Error processing common response: {:?}",
e
);
inner.cancelled = true;
inner.context.stop_generating();
})
.map_err(|e| e.to_string())
});
tracing::trace!(
request_id = inner.context.id(),
"OpenAI ChatCompletionResponseDelta: {:?}",
response
);
Some((response, inner))
} else {
// stream closed with out graceful closure
// we did not detect an is_finished/completed message
// Ok(None)
None
}
}
});
ResponseStream::new(Box::pin(stream), context)
}
}
// for pals, we do not want to add the generation prompt to the formatted prompt
// we also need to know if the template support this add_generation_prompt bool
// any prompt template that does not support this should return an error
// oob - we should update any prompt template that does not support this to support it
#[async_trait]
impl
Operator<
SingleIn<ChatCompletionRequest>,
ManyOut<Annotated<ChatCompletionResponseDelta>>,
SingleIn<BackendInput>,
ManyOut<Annotated<BackendOutput>>,
> for OpenAIPreprocessor
{
async fn generate(
&self,
request: SingleIn<ChatCompletionRequest>,
next: Arc<
dyn AsyncEngine<SingleIn<BackendInput>, ManyOut<Annotated<BackendOutput>>, Error>,
>,
) -> Result<ManyOut<Annotated<ChatCompletionResponseDelta>>, Error> {
// unpack the request
let (request, context) = request.into_parts();
// create a response generator
let response_generator = request.response_generator();
let mut response_generator = Box::new(response_generator);
// convert the chat completion request to a common completion request
let (common_request, annotations) = self.preprocess_request(&request)?;
// update isl
response_generator.update_isl(common_request.token_ids.len() as i32);
// repack the common completion request
let common_request = context.map(|_| common_request);
// create a stream of annotations this will be prepend to the response stream
let annotations: Vec<Annotated<ChatCompletionResponseDelta>> = annotations
.into_iter()
.flat_map(|(k, v)| Annotated::from_annotation(k, &v))
.collect();
let annotations_stream = stream::iter(annotations);
// forward the common completion request to the next operator
let response_stream = next.generate(common_request).await?;
// transform the postprocessor stream
let stream = Self::transform_postprocessor_stream(response_stream, response_generator);
let context = stream.context();
// prepend the annotations to the response stream
let stream = annotations_stream.chain(stream);
// return the response stream
Ok(ResponseStream::new(Box::pin(stream), context))
}
}
#[async_trait]
impl
Operator<
SingleIn<CompletionRequest>,
ManyOut<Annotated<CompletionResponse>>,
SingleIn<BackendInput>,
ManyOut<Annotated<BackendOutput>>,
> for OpenAIPreprocessor
{
async fn generate(
&self,
request: SingleIn<CompletionRequest>,
next: Arc<
dyn AsyncEngine<SingleIn<BackendInput>, ManyOut<Annotated<BackendOutput>>, Error>,
>,
) -> Result<ManyOut<Annotated<CompletionResponse>>, Error> {
// unpack the request
let (request, context) = request.into_parts();
// create a response generator
let response_generator = request.response_generator();
let mut response_generator = Box::new(response_generator);
// convert the chat completion request to a common completion request
let (common_request, annotations) = self.preprocess_request(&request)?;
// update isl
response_generator.update_isl(common_request.token_ids.len() as i32);
// repack the common completion request
let common_request = context.map(|_| common_request);
// create a stream of annotations this will be prepend to the response stream
let annotations: Vec<Annotated<CompletionResponse>> = annotations
.into_iter()
.flat_map(|(k, v)| Annotated::from_annotation(k, &v))
.collect();
let annotations_stream = stream::iter(annotations);
// forward the common completion request to the next operator
let response_stream = next.generate(common_request).await?;
// transform the postprocessor stream
let stream = Self::transform_postprocessor_stream(response_stream, response_generator);
let context = stream.context();
// prepend the annotations to the response stream
let stream = annotations_stream.chain(stream);
// return the response stream
Ok(ResponseStream::new(Box::pin(stream), context))
}
}
llm/rust/triton-llm/src/preprocessor/prompt.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//! Prompt Formatting Module
//!
//! Handles formatting of LLM request prompts, including:
//! - Chat template rendering
//! - Tool usage formatting
//! - Generation prompt handling
//!
//! The module supports different prompt formatting strategies through the
//! PromptFormatter
// TODO:
// 1. Query if `add_generation_prompt` is present in the prompt template
// 2. Support for models with add_generation_prompt:
// - PALS (Prefix-Assisted Language Sampling)
// - Continuation - Detected on user turns, where we can return
// partial assistant responses without add_generation_prompt
use anyhow::Result;
use minijinja::value::Value;
use std::sync::Arc;
mod template;
pub use template::ContextMixins;
/// Trait that defines a request that can map to an OpenAI-like request.
pub trait OAIChatLikeRequest {
fn messages(&self) -> Value;
fn tools(&self) -> Option<Value> {
None
}
fn tool_choice(&self) -> Option<Value> {
None
}
fn should_add_generation_prompt(&self) -> bool;
}
pub trait OAIPromptFormatter: Send + Sync + 'static {
fn supports_add_generation_prompt(&self) -> bool;
fn render(&self, req: &dyn OAIChatLikeRequest) -> Result<String>;
}
pub enum PromptFormatter {
OAI(Arc<dyn OAIPromptFormatter>),
}
llm/rust/triton-llm/src/preprocessor/prompt/template.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::{collections::HashSet, sync::Arc};
use anyhow::{Ok, Result};
use minijinja::Environment;
use crate::model_card::model::{ModelDeploymentCard, PromptContextMixin, PromptFormatterArtifact};
mod context;
mod formatters;
mod oai;
mod tokcfg;
use super::{OAIChatLikeRequest, OAIPromptFormatter, PromptFormatter};
use tokcfg::{raise_exception, tojson, ChatTemplate as HfTokenizerConfig};
impl PromptFormatter {
pub async fn from_mdc(mdc: ModelDeploymentCard) -> Result<PromptFormatter> {
match mdc
.prompt_formatter
.ok_or(anyhow::anyhow!("MDC does not contain a prompt formatter"))?
{
PromptFormatterArtifact::HfTokenizerConfigJson(file) => {
let content = std::fs::read_to_string(file)?;
let config: HfTokenizerConfig = serde_json::from_str(&content)?;
let formatter = HfTokenizerConfigJsonFormatter::new(
config,
mdc.prompt_context
.map_or(ContextMixins::default(), |x| ContextMixins::new(&x)),
)?;
Ok(Self::OAI(Arc::new(formatter)))
}
}
}
}
/// Chat Template Jinja Renderer
///
/// Manages a Jinja environment with registered templates for chat formatting.
/// Handles two types of ChatTemplateValue templates:
///
/// 1. String template: Registered as the 'default' template
/// 2. Map template: Contains 'tool_use' and/or 'default' templates
/// - tool_use: Template for tool-based interactions
/// - default: Template for standard chat interactions
/// If the map contains both keys, the `tool_use` template is registered as the `tool_use` template
/// and the `default` template is registered as the `default` template.
struct JinjaEnvironment {
env: Environment<'static>,
}
/// Formatter for HuggingFace tokenizer config JSON templates
///
/// Implements chat template rendering based on HuggingFace's tokenizer_config.json format.
/// Supports:
/// - Tool usage templates
/// - Generation prompts
/// - Context mixins for template customization
#[derive(Debug)]
struct HfTokenizerConfigJsonFormatter {
env: Environment<'static>,
config: HfTokenizerConfig,
mixins: Arc<ContextMixins>,
supports_add_generation_prompt: bool,
}
// /// OpenAI Standard Prompt Formatter
// pub trait StandardPromptFormatter {
// fn render(&self, context: &impl StandardPromptContext) -> Result<String>;
// }
// pub trait StandardPromptContext {
// fn messages(&self) -> Value;
// fn tools(&self) -> Option<Value>;
// }
#[derive(Debug, Clone, Default)]
pub struct ContextMixins {
context_mixins: HashSet<PromptContextMixin>,
}
llm/rust/triton-llm/src/preprocessor/prompt/template/context.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use super::{ContextMixins, PromptContextMixin};
use chrono::{DateTime, Utc};
use minijinja::value::{Object, Value};
use std::sync::Arc;
impl Object for ContextMixins {
fn get_value(self: &Arc<Self>, field: &Value) -> Option<Value> {
match field.as_str()? {
"datetime" => self.datetime(),
_ => None,
}
}
}
impl ContextMixins {
pub fn new(allowed_mixins: &[PromptContextMixin]) -> Self {
ContextMixins {
context_mixins: allowed_mixins.iter().cloned().collect(),
}
}
/// Implements the `datetime` context mixin.
/// Different mixins can be implemented here for the same key.
/// We need to valiate that multiple mixins do not conflict with each other.
fn datetime(&self) -> Option<Value> {
if self
.context_mixins
.contains(&PromptContextMixin::Llama3DateTime)
{
let now = chrono::Utc::now();
Some(Value::from(llama3_datetime(now)))
} else {
None
}
}
}
fn llama3_datetime(datetime: DateTime<Utc>) -> String {
datetime.format("%d, %B, %Y").to_string()
}
llm/rust/triton-llm/src/preprocessor/prompt/template/formatters.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use super::*;
use either::Either;
use tracing;
impl JinjaEnvironment {
fn env(self) -> Environment<'static> {
self.env
}
}
impl Default for JinjaEnvironment {
fn default() -> Self {
let mut env = Environment::new();
env.set_lstrip_blocks(true);
env.set_trim_blocks(true);
JinjaEnvironment { env }
}
}
impl HfTokenizerConfigJsonFormatter {
pub fn new(config: HfTokenizerConfig, mixins: ContextMixins) -> Result<Self> {
let mut env = JinjaEnvironment::default().env();
let chat_template = config.chat_template.as_ref().ok_or(anyhow::anyhow!(
"chat_template field is required in the tokenizer_config.json file"
))?;
// add pycompat
// todo: should we use this: minijinja_contrib::add_to_environment(&mut env);
env.set_unknown_method_callback(minijinja_contrib::pycompat::unknown_method_callback);
// add custom functions and filters
env.add_function("raise_exception", raise_exception);
env.add_filter("tojson", tojson);
let mut supports_add_generation_prompt = None;
match &chat_template.0 {
Either::Left(x) => {
if x.contains("add_generation_prompt") {
tracing::debug!("Chat template contains `add_generation_prompt` key. This model supports add_generation_prompt.");
supports_add_generation_prompt = Some(true);
}
env.add_template_owned("default", x.to_string())?;
env.add_template_owned("tool_use", x.to_string())?;
}
Either::Right(map) => {
for t in map {
for (k, v) in t.iter() {
if v.contains("add_generation_prompt") {
match supports_add_generation_prompt {
Some(true) | None => {
tracing::debug!("Chat template contains `add_generation_prompt` key. This model supports add_generation_prompt.");
supports_add_generation_prompt = Some(true);
}
Some(false) => {
tracing::warn!("Not all templates contain `add_generation_prompt` key. This model does not support add_generation_prompt.");
}
}
} else {
supports_add_generation_prompt = Some(false);
}
env.add_template_owned(k.to_string(), v.to_string())?;
}
}
if env.templates().count() == 0 {
anyhow::bail!("Chat template does not contain a `tool_use` or `default` key. Please ensure it contains at least a `default` key, although `tool_use` should be specified for using tools.");
}
}
}
Ok(HfTokenizerConfigJsonFormatter {
env,
config,
mixins: Arc::new(mixins),
supports_add_generation_prompt: supports_add_generation_prompt.unwrap_or(false),
})
}
}
// impl JinjaEnvironment {
// /// Renders the template with the provided messages.
// /// This function reuses the pre-compiled template for efficiency.
// pub fn render(&self, template_id: &str, ctx: &dyn erased_serde::Serialize) -> Result<String> {
// let tmpl = self.env.get_template(template_id)?;
// Ok(tmpl.render(ctx)?)
// }
// // fn apply_tool_template()
// }
llm/rust/triton-llm/src/preprocessor/prompt/template/oai.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use super::*;
use minijinja::{context, value::Value};
use crate::protocols::openai::{
chat_completions::{ChatCompletionMessage, ChatCompletionRequest, Content, MessageRole},
completions::CompletionRequest,
};
use tracing;
impl OAIChatLikeRequest for ChatCompletionRequest {
fn messages(&self) -> Value {
Value::from_serialize(&self.messages)
}
fn tools(&self) -> Option<Value> {
if self.tools.is_none() {
None
} else {
Some(Value::from_serialize(&self.tools))
}
}
fn tool_choice(&self) -> Option<Value> {
if self.tool_choice.is_none() {
None
} else {
Some(Value::from_serialize(&self.tool_choice))
}
}
fn should_add_generation_prompt(&self) -> bool {
if let Some(last) = self.messages.last() {
last.role == MessageRole::user
} else {
true
}
}
}
impl OAIChatLikeRequest for CompletionRequest {
fn messages(&self) -> Value {
let message = ChatCompletionMessage {
role: MessageRole::user,
content: Content::Text(self.prompt.clone()),
name: None,
};
Value::from_serialize(vec![message])
}
fn should_add_generation_prompt(&self) -> bool {
true
}
}
impl OAIPromptFormatter for HfTokenizerConfigJsonFormatter {
fn supports_add_generation_prompt(&self) -> bool {
self.supports_add_generation_prompt
}
fn render(&self, req: &dyn OAIChatLikeRequest) -> Result<String> {
let mixins = Value::from_dyn_object(self.mixins.clone());
let tools = req.tools();
let has_tools = tools.is_some();
let add_generation_prompt = req.should_add_generation_prompt();
tracing::trace!(
"Rendering prompt with tools: {:?}, add_generation_prompt: {}",
has_tools,
add_generation_prompt
);
let ctx = context! {
messages => req.messages(),
tools => tools,
bos_token => self.config.bos_tok(),
eos_token => self.config.eos_tok(),
unk_token => self.config.unk_tok(),
add_generation_prompt => add_generation_prompt,
..mixins
};
let ctx = context! { ..ctx, ..context! {
}};
let tmpl = if has_tools {
self.env.get_template("tool_use")?
} else {
self.env.get_template("default")?
};
Ok(tmpl.render(&ctx)?)
}
}
llm/rust/triton-llm/src/preprocessor/prompt/template/tokcfg.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
//based on: https://github.com/EricLBuehler/mistral.rs/blob/d970bb5feb863acf8e8ec90de97e18221fb959f1/mistralrs-core/src/pipeline/chat_template.rs
use std::collections::HashMap;
use either::Either;
use minijinja::{value::Kwargs, Error, ErrorKind, Value};
use serde::{Deserialize, Serialize};
#[allow(dead_code)]
#[derive(Debug, Deserialize)]
pub struct AddedTokensDecoder {
__type: Option<String>,
pub content: String,
lstrip: bool,
normalized: bool,
rstrip: bool,
single_word: bool,
special: Option<bool>,
}
pub fn raise_exception(msg: String) -> Result<String, minijinja::Error> {
Err(minijinja::Error::new(ErrorKind::InvalidOperation, msg))
}
#[derive(Debug, Deserialize)]
pub struct BeginEndUnkTok(
#[serde(with = "either::serde_untagged")] pub Either<String, AddedTokensDecoder>,
);
/// Support older tool use patterns where the tool use template was separate from the default/chat template.
/// Modern patterns use a single template with a `tool_use` key, e.g.
///
/// ```jinja
/// {%- if tools is not none and tool_choice is not none %}
/// ```
#[derive(Debug, Deserialize)]
pub struct ChatTemplateValue(
#[serde(with = "either::serde_untagged")] pub Either<String, Vec<HashMap<String, String>>>,
);
/// If present, pad_token is usually a single value. Deepseek R1 and it's distill's use a map.
#[allow(dead_code)]
#[derive(Debug, Deserialize)]
pub struct PadTokenValue(
#[serde(with = "either::serde_untagged")] pub Either<String, AddedTokensDecoder>,
);
#[allow(dead_code)]
#[derive(Debug, Deserialize, Default)]
/// Template for chat models including bos/eos/unk as well as the chat template.
pub struct ChatTemplate {
add_bos_token: Option<bool>,
add_eos_token: Option<bool>,
added_tokens_decoder: Option<HashMap<String, AddedTokensDecoder>>,
additional_special_tokens: Option<Vec<String>>,
pub bos_token: Option<BeginEndUnkTok>,
/// Jinja format [chat templating] for chat completion.
///
/// [chat templating]: https://huggingface.co/docs/transformers/chat_templating
pub chat_template: Option<ChatTemplateValue>,
clean_up_tokenization_spaces: Option<bool>,
device_map: Option<String>,
pub eos_token: Option<BeginEndUnkTok>,
legacy: Option<bool>,
model_max_length: Option<f64>,
pad_token: Option<PadTokenValue>,
sp_model_kwargs: Option<HashMap<String, String>>,
spaces_between_special_tokens: Option<bool>,
tokenizer_class: Option<String>,
truncation_size: Option<String>,
pub unk_token: Option<BeginEndUnkTok>,
use_default_system_prompt: Option<bool>,
}
impl ChatTemplate {
// pub fn has_chat_template(&self) -> bool {
// self.chat_template.is_some()
// }
pub fn eos_tok(&self) -> Option<String> {
match self.eos_token.as_ref()?.0 {
Either::Left(ref lit) => Some(lit.clone()),
Either::Right(ref added) => Some(added.content.clone()),
}
}
pub fn bos_tok(&self) -> Option<String> {
match self.bos_token.as_ref()?.0 {
Either::Left(ref lit) => Some(lit.clone()),
Either::Right(ref added) => Some(added.content.clone()),
}
}
pub fn unk_tok(&self) -> Option<String> {
match self.unk_token.as_ref()?.0 {
Either::Left(ref lit) => Some(lit.clone()),
Either::Right(ref added) => Some(added.content.clone()),
}
}
}
#[allow(dead_code)]
#[derive(Debug, Deserialize)]
pub struct GenerationConfig {
#[serde(with = "either::serde_untagged")]
bos_token_id: Either<u32, Vec<u32>>,
#[serde(with = "either::serde_untagged")]
eos_token_id: Either<u32, Vec<u32>>,
}
pub fn tojson(value: Value, kwargs: Kwargs) -> Result<Value, Error> {
if let Ok(indent) = kwargs.get("indent") {
let mut buf = Vec::new();
let repeat = b" ".repeat(indent);
let formatter = serde_json::ser::PrettyFormatter::with_indent(&repeat);
let mut ser = serde_json::Serializer::with_formatter(&mut buf, formatter);
value.serialize(&mut ser).unwrap();
String::from_utf8(buf).map_err(|err| {
Error::new(ErrorKind::BadSerialization, "cannot serialize to JSON").with_source(err)
})
} else {
serde_json::to_string(&value).map_err(|err| {
Error::new(ErrorKind::BadSerialization, "cannot serialize to JSON").with_source(err)
})
}
.map_err(|err| {
Error::new(ErrorKind::InvalidOperation, "cannot serialize to JSON").with_source(err)
})
.map(|s| {
// When this filter is used the return value is safe for both HTML and JSON
let mut rv = String::with_capacity(s.len());
for c in s.chars() {
match c {
'<' => rv.push_str("\\u003c"),
'>' => rv.push_str("\\u003e"),
'&' => rv.push_str("\\u0026"),
'\'' => rv.push_str("\\u0027"),
_ => rv.push(c),
}
}
Value::from_safe_string(rv)
})
}
llm/rust/triton-llm/src/preprocessor/tools.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
mod request;
mod response;
pub use request::*;
pub use response::*;
use serde_json::Value;
use std::collections::HashMap;
use uuid::Uuid;
/// Matches and processes tool calling patterns in LLM responses
///
/// Supports multiple formats for tool calls:
/// - Single/multiple function calls with parameters/arguments
/// - Auto or user selected tool usage
pub struct ToolCallingMatcher {
tool_choice: ToolChoice,
}
// Same as CalledFunction with named parameters
#[derive(Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct CalledFunctionParameters {
pub name: String,
pub parameters: HashMap<String, Value>,
}
// Same as CalledFunction with named parameters
#[derive(Clone, Debug, serde::Serialize, serde::Deserialize)]
pub struct CalledFunctionArguments {
pub name: String,
pub arguments: HashMap<String, Value>,
}
impl ToolCallingMatcher {
pub fn new(tool_choice: ToolChoice) -> anyhow::Result<Self> {
Ok(Self { tool_choice })
}
pub fn get_call(&self, message: &str) -> anyhow::Result<Vec<ToolCallResponse>> {
if matches!(self.tool_choice, ToolChoice::None) {
return Ok(Vec::new());
}
if let Ok(deser) = serde_json::from_str::<CalledFunctionParameters>(message) {
let id = format!("call-{}", Uuid::new_v4());
Ok(vec![ToolCallResponse {
id,
tp: ToolCallType::Function,
function: CalledFunction {
name: deser.name,
arguments: serde_json::to_string(&deser.parameters)?,
},
}])
} else if let Ok(deser) = serde_json::from_str::<Vec<CalledFunctionParameters>>(message) {
Ok(deser
.into_iter()
.map(|deser| {
let id = format!("call-{}", Uuid::new_v4());
Ok(ToolCallResponse {
id,
tp: ToolCallType::Function,
function: CalledFunction {
name: deser.name,
arguments: serde_json::to_string(&deser.parameters)?,
},
})
})
.collect::<anyhow::Result<Vec<_>>>()?)
} else if let Ok(deser) = serde_json::from_str::<CalledFunctionArguments>(message) {
let id = format!("call-{}", Uuid::new_v4());
Ok(vec![ToolCallResponse {
id,
tp: ToolCallType::Function,
function: CalledFunction {
name: deser.name,
arguments: serde_json::to_string(&deser.arguments)?,
},
}])
} else if let Ok(deser) = serde_json::from_str::<Vec<CalledFunctionArguments>>(message) {
Ok(deser
.into_iter()
.map(|deser| {
let id = format!("call-{}", Uuid::new_v4());
Ok(ToolCallResponse {
id,
tp: ToolCallType::Function,
function: CalledFunction {
name: deser.name,
arguments: serde_json::to_string(&deser.arguments)?,
},
})
})
.collect::<anyhow::Result<Vec<_>>>()?)
} else {
if matches!(self.tool_choice, ToolChoice::Tool(_)) {
anyhow::bail!("Tool choice was required but no tools were called.")
}
Ok(Vec::new())
}
}
}
llm/rust/triton-llm/src/preprocessor/tools/request.rs 0 → 100644
View file @ 4f6f63cd
// SPDX-FileCopyrightText: Copyright (c) 2024-2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
// SPDX-License-Identifier: Apache-2.0
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::collections::HashMap;
use serde_json::Value;
#[derive(Clone, Debug, serde::Deserialize, serde::Serialize)]
pub enum ToolType {
#[serde(rename = "function")]
Function,
}
#[derive(Clone, Debug, serde::Deserialize, serde::Serialize)]
pub enum ToolChoice {
#[serde(rename = "none")]
/// Disallow selection of tools.
None,
#[serde(rename = "auto")]
/// Allow automatic selection of any given tool, or none.
Auto,
#[serde(untagged)]
/// Force selection of a given tool.
Tool(Tool),
}
#[derive(Clone, Debug, serde::Deserialize, serde::Serialize)]
pub struct Function {
pub description: Option<String>,
pub name: String,
pub parameters: Option<HashMap<String, Value>>,
}
#[derive(Clone, Debug, serde::Deserialize, serde::Serialize)]
pub struct Tool {
#[serde(rename = "type")]
pub tp: ToolType,
pub function: Function,
}
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