The oniguruma run of the ByteLevel pre-tokenizer regex is about 90% of
encode_fast on a 100k token body (100 ms of the ~110 ms Rust admission
count in the gateway pod). A hand-written scanner that yields the same
pieces, then feeds the model directly, counts the same text in 10 ms.
It only engages for tokenizers with the Anthropic shape (optional NFKC,
ByteLevel without prefix space, no post-processor) and falls back to the
full encoder when the text contains an added token. Parity with
encode_fast is tested on random texts, the pieces are compared with the
real pre-tokenizer, and the \p{L}/\p{N}/\s tables are checked against
oniguruma for every code point.
Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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|---|---|---|
| .. | ||
| crates | ||
| .gitignore | ||
| ADDING_A_PROVIDER.md | ||
| AGENTS.md | ||
| Cargo.lock | ||
| Cargo.toml | ||
| CLAUDE.md | ||
| README.md | ||
LiteLLM Rust
This workspace contains the staged Rust implementation for LiteLLM.
litellm-core is the LiteLLM SDK in Rust: one entrypoint per top-level call
that makes the LLM call and hands back a typed response, the same shape as
litellm.messages() in Python.
let response = litellm_core::messages::messages(MessagesRequest {
model: "claude-sonnet-4-5",
body,
api_key: Some(key),
..
})
.await?;
Python continues to own configuration, retries, routing policy, logging, callbacks, spend tracking, and customer plugins until each Rust path has parity coverage and production evidence.
Crates
| Crate | Role |
|---|---|
| litellm-core | The SDK. Per-route entrypoints (messages::messages()), types, provider transforms (modules under providers/), provider resolution, auth, the provider HTTP call, and the router. |
| litellm-config | Config-loading boundary. Returns resolved deployments and optionally delegates loading to Python. |
| litellm-ai-gateway | The axum server (behind the server feature) and WebSocket hosts. Translates HTTP/WS to core entrypoints; no provider handlers. |
| litellm-python-interop | Domain-neutral PyO3 foundation for GIL handling and typed Python/Serde conversion. |
| litellm-python-bridge | PyO3 cdylib exposing LiteLLM Rust APIs to the Python SDK. Owns API registration, domain wiring, and Python exception mapping. |
Dependency direction is acyclic: config depends on core, the gateway depends on config and core, and the Python bridge depends on the domain layers and Python interop.
Layout
crates/
core/ The SDK: route modules + provider transforms.
src/messages/ mod.rs (entrypoint), types, transformation, prepare, handler, client
src/providers/anthropic/messages/transformation.rs
config/ Config loading and resolved deployments.
ai-gateway/ Axum server + WebSocket hosts; calls core entrypoints.
python-interop/ Domain-neutral PyO3 conversion and GIL primitives.
python-bridge/ PyO3 API adapter for Python LiteLLM.
The folder shape follows the Python provider tree:
core/src/providers/<provider>/<route>/transformation.rs. The bridge exposes one
function per top-level route, mirroring the core entrypoints.
Checks
Run the commands under "Checks" in CLAUDE.md before pushing Rust
changes. That list is the single source of truth and matches what GitHub Actions
runs for changes under litellm-rust/.