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* ci: benchmark and gate an installed release wheel Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * ci: simplify installed-wheel benchmark check Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * feat(rust): add native tokenizer codec Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(tokenizer): route Python tokenization through the Rust extension Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * style(lint): format tokenizer call Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(packaging): restore runtime dependencies and native images Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(tokenizer): preserve Python SDK behavior with Rust tokenizers * fix(tokenizer): restore compatibility paths Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * refactor(tokenizer): count custom tokenizers directly Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(tokenizer): preserve caller-supplied Python tokenizer counts * fix(tokenizer): reuse packaged vocabularies in the native wheel * refactor(rust_bridge): route token counting through the catalog as RUST_OPT_IN Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(spend_tracking): compare tokenizer groups by value Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * chore(deps): re-resolve filelock under the <4.0 pin Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * fix(llms): align transformation override signatures with base configs Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * build(rust): use fat LTO to keep the native wheel under the 35 MB limit Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * feat(tokenizer): preserve Python defaults with opt-in Rust dispatch * test(proxy): tolerate missing litellm.utils.Tokenizer when patching it Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * test(proxy): patch the tokenizer dispatch function instead of the removed alias Co-Authored-By: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> * feat(tokenizer): give the Rust wrappers the tiktoken and tokenizers surface Callers of litellm.encoding and litellm.create_tokenizer must see the same read-only API whichever backend the catalog selects. - OpenAIEncoding mirrors tiktoken.Encoding: n_vocab, max_token_value, token_byte_values, encode_single_token, encode_with_unstable, encode_to_numpy, decode_with_offsets, is_special_token, repr; the Rust tiktoken crate keeps a Vocabulary beside each CoreBPE and reports the requested encoding name (gpt2 stays gpt2). - HuggingFaceTokenizer mirrors the read-only tokenizers.Tokenizer surface (token_to_id, id_to_token, get_vocab, get_vocab_size, get_added_tokens_decoder, num_special_tokens_to_add, padding, truncation, encode_special_tokens, from_buffer); HuggingFaceEncoding gains the char/word/token lookups, pad, truncate, set_sequence_id and merge. Mutators stay on the Python tokenizer. - from_json/from_pretrained claim the fork gate only when the huggingface feature is compiled in; the surrogate fallback matches on the Codec. - Tokenizer caching is keyed on the same catalog Context the dispatch runs on; rust_tokenizer reads the encoding name without loading an encoding; LITELLM_RUST parsing is cached. - Drop the unused tiktoken_encoding_for_model export and Error::Download. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> * fix(tokenizer): close the exhaustive matches with assert_never CodeQL reads a `match` over a Literal with no default arm as an implicit `None` return. `assert_never` makes the exhaustiveness explicit for both the HuggingFace tokenizer loader and the Rust token-counter factory. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> * feat(tokenizer): derive the fast counter from the shared tokenizer The count-only counter (`fast` feature) and the codec each parsed the same artifact: TokenCounter took the Anthropic JSON and the tiktoken rank files from Python while Tokenizer loaded them again. One parse now serves both. - FastTokenizer builds from a model another loader holds: `from_shared` takes the Arc<tokenizers::Tokenizer> the HF codec keeps, and `from_*_pairs` take the ranks the tiktoken vocabulary already parsed. - `FastCounter::fast_counter` in the core crate derives it from either codec; encodings the fast scanner does not reproduce are refused. - Native `Tokenizer.count(text, fast=False)` opts into that counter, built once per tokenizer on first use; `TokenCounter.from_tokenizer(tokenizer, fast=False)` replaces the JSON and rank-file constructors. - The Python route counts over the native tokenizers the codec path shares (`native_encoding`, `native_anthropic`) and no longer reads rank files; the packaged Anthropic tokenizer has one loader, `tokenizer_dispatch.anthropic`. - Public wrappers gain `count(text, fast=False)`. Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com> --------- Co-authored-by: Yujong Lee <yujong@berri.ai> Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com> Co-authored-by: Claude Fable 5.1 <noreply@anthropic.com> |
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| benches | ||
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| AGENTS.md | ||
| build.rs | ||
| Cargo.toml | ||
| README.md | ||
Native OCR uses SecretSource with EnvironmentSecrets, preserving process-environment reads. Readable Python secret managers still make OCR decline to the existing Python implementation. ResolvedSecrets and the separate secret_manager_binding() snapshot are inactive foundations for a later rollout
Cache and secret-manager catalog entries remain Python-only, including when LITELLM_RUST=1. The new cache runtime is not connected to SDK or gateway caching
OCR provider requests use the shared litellm-http pool. AWS and Google secret-manager SDK clients keep their SDK transports, which do not yet inherit the pool's proxy, TLS, certificate, timeout, or observability configuration. Preserve those SDK transports and configure them equivalently instead of forcing them through reqwest