Cargo.toml

# SPDX-FileCopyrightText: Copyright (c) 2025 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0

[workspace]
members = [
    "launch/dynamo-run",
    "lib/llm",
    "lib/runtime",
    "lib/tokens",
    "lib/async-openai",
    "lib/parsers",
    "lib/bindings/c",
    "lib/bindings/python/codegen",
    "lib/engines/*",
]
# Exclude certain packages that are slow to build and we don't ship as flagship
# features from default build, but keep them in workspace for convenience.
# - launch/dynamo-run
# - lib/engines/*
default-members = [
    "lib/llm",
    "lib/runtime",
    "lib/tokens",
    "lib/async-openai",
    "lib/parsers",
    "lib/bindings/c",
]
resolver = "3"

[workspace.package]
version = "0.5.1"
edition = "2024"
description = "Dynamo Inference Framework"
authors = ["NVIDIA Inc. <sw-dl-dynamo@nvidia.com>"]
license = "Apache-2.0"
homepage = "https://github.com/ai-dynamo/dynamo"
repository = "https://github.com/ai-dynamo/dynamo.git"
keywords = ["llm", "genai", "inference", "nvidia", "distributed"]

[workspace.dependencies]
# Local crates
dynamo-runtime = { path = "lib/runtime", version = "0.5.1" }
dynamo-llm = { path = "lib/llm", version = "0.5.1" }
dynamo-tokens = { path = "lib/tokens", version = "0.5.1" }
dynamo-async-openai = { path = "lib/async-openai", version = "0.5.1", features = [
    "byot",
    "rustls",
] }
dynamo-parsers = { path = "lib/parsers", version = "0.5.1" }


# External dependencies
anyhow = { version = "1" }
async-nats = { version = "0.40", features = ["service"] }
async-stream = { version = "0.3" }
async-trait = { version = "0.1" }
async_zmq = { version = "0.4.0" }
blake3 = { version = "1" }
bytes = { version = "1" }
chrono = { version = "0.4", default-features = false, features = [
    "alloc",
    "std",
    "clock",
    "now",
    "serde",
] }
derive_builder = { version = "0.20" }
derive-getters = { version = "0.5" }
either = { version = "1.13", features = ["serde"] }
etcd-client = { version = "0.16", features = ["tls"] }
futures = { version = "0.3" }
hf-hub = { version = "0.4.2", default-features = false, features = [
    "tokio",
    "rustls-tls",
    "ureq",
] }

# ModelExpress for model downloading
modelexpress-client = { git = "https://github.com/ai-dynamo/modelexpress.git", rev = "a232220bf268a475d293914d407f4ae186f443e3", package = "modelexpress-client" }
modelexpress-common = { git = "https://github.com/ai-dynamo/modelexpress.git", rev = "a232220bf268a475d293914d407f4ae186f443e3", package = "modelexpress-common" }

humantime = { version = "2.2.0" }
libc = { version = "0.2" }
oneshot = { version = "0.1.11", features = ["std", "async"] }
prometheus = { version = "0.14" }
rand = { version = "0.9.0" }
reqwest = { version = "0.12.22", default-features = false, features = [
    "json",
    "stream",
    "rustls-tls",
] }
serde = { version = "1", features = ["derive"] }
serde_json = { version = "1" }
strum = { version = "0.27", features = ["derive"] }
tempfile = "3"
thiserror = { version = "2.0.11" }
tokio = { version = "1", features = ["full"] }
tokio-stream = { version = "0.1" }
tokio-util = { version = "0.7", features = ["codec", "net", "rt"] }
tower-http = { version = "0.6", features = ["trace"] }
axum = { version = "0.8", features = ["macros"] }
tracing = { version = "0.1" }
tracing-subscriber = { version = "0.3", features = [
    "env-filter",
    "local-time",
    "json",
] }
tracing-opentelemetry = { version = "0.32.0" }
opentelemetry = { version = "0.31.0", features = ["trace"] }
opentelemetry_sdk = { version = "0.31.0", features = ["trace", "rt-tokio"] }
opentelemetry-otlp = { version = "0.31.0", features = ["trace", "grpc-tonic"] }
validator = { version = "0.20.0", features = ["derive"] }
uuid = { version = "1.17", features = ["v4", "serde"] }
url = { version = "2.5", features = ["serde"] }
xxhash-rust = { version = "0.8", features = ["xxh3", "const_xxh3"] }

[profile.dev.package]
insta.opt-level = 3

[profile.dev]
# release level optimizations otherwise everything feels slow
opt-level = 3

[profile.release]
# These make the build much slower but shrink the binary, and could help performance
codegen-units = 1
lto = "thin"