mirror of
https://github.com/BerriAI/litellm.git
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0abd9267c1
* 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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| .. | ||
| example_config_yaml | ||
| test_configs | ||
| azure_fine_tune.jsonl | ||
| batch_job_results_furniture.jsonl | ||
| conftest.py | ||
| data_map.txt | ||
| eagle.wav | ||
| gettysburg.wav | ||
| large_text.py | ||
| messages_with_counts.py | ||
| model_cost.json | ||
| openai_batch_completions.jsonl | ||
| openai_batch_completions_router.jsonl | ||
| speech_vertex.mp3 | ||
| test_aproxy_startup.py | ||
| test_audit_logs_proxy.py | ||
| test_auth_checks.py | ||
| test_banned_keyword_list.py | ||
| test_blog_posts_endpoint.py | ||
| test_check_batch_cost.py | ||
| test_check_responses_cost.py | ||
| test_custom_callback_input.py | ||
| test_custom_logger_s3_gcs.py | ||
| test_custom_tokenizer_bug.py | ||
| test_db_schema_changes.py | ||
| test_default_end_user_budget_simple.py | ||
| test_deprecated_key_grace_period.py | ||
| test_e2e_pod_lock_manager.py | ||
| test_gemini_agents_endpoints.py | ||
| test_get_favicon.py | ||
| test_get_image.py | ||
| test_google_endpoint_routing.py | ||
| test_google_gemini_proxy_request.py | ||
| test_jwt.py | ||
| test_jwt_key_mapping.py | ||
| test_key_generate_dynamodb.py | ||
| test_key_generate_prisma.py | ||
| test_models_fallback_endpoint.py | ||
| test_multipart_bypass_repro.py | ||
| test_prisma_client_backoff_retry.py | ||
| test_prompt_test_endpoint.py | ||
| test_proxy_config_unit_test.py | ||
| test_proxy_custom_auth.py | ||
| test_proxy_custom_logger.py | ||
| test_proxy_encrypt_decrypt.py | ||
| test_proxy_exception_mapping.py | ||
| test_proxy_pass_user_config.py | ||
| test_proxy_reject_logging.py | ||
| test_proxy_routes.py | ||
| test_proxy_server.py | ||
| test_proxy_setting_guardrails.py | ||
| test_proxy_token_counter.py | ||
| test_proxy_utils.py | ||
| test_realtime_cache.py | ||
| test_reducto_ocr_route.py | ||
| test_request_size_limit_middleware.py | ||
| test_response_polling_handler.py | ||
| test_response_polling_pre_call_checks.py | ||
| test_search_api_logging.py | ||
| test_server_root_path.py | ||
| test_skills_db.py | ||
| test_ui_path_detection.py | ||
| test_unit_test_max_model_budget_limiter.py | ||
| test_unit_test_proxy_hooks.py | ||
| test_update_daily_tag_spend.py | ||
| test_update_spend.py | ||
| test_user_api_key_auth.py | ||
| test_zero_cost_model_budget_bypass.py | ||
| vertex_key.json | ||