From ef504783862b5343815699427aae49b1e9ccf1c4 Mon Sep 17 00:00:00 2001 From: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> Date: Mon, 3 Aug 2026 16:35:28 -0700 Subject: [PATCH 1/6] Support Kimi K3's tokenizer Signed-off-by: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> --- pyproject.toml | 3 + .../metrics_aggregator/token_metrics.py | 145 ++++++++++++------ .../commands/benchmark/execute.py | 5 +- src/inference_endpoint/config/schema.py | 4 + tests/unit/commands/test_benchmark.py | 29 ++++ tests/unit/config/test_schema.py | 6 + uv.lock | 6 +- 7 files changed, 152 insertions(+), 46 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 640b76eb..3e38766d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -80,6 +80,9 @@ dependencies = [ "rich==14.3.3", # Needed for tokenization and OSL reporting "transformers==5.5.0", + # Required by custom model tokenizers such as Kimi K3. Although exposed as + # a Transformers "slow" tokenizer, K3 delegates BPE to this Rust backend. + "tiktoken==0.13.0", # Required by transformers' apply_chat_template "jinja2==3.1.6", "numpy>=1.26.4", diff --git a/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py b/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py index 4d14ead7..73f90d7c 100644 --- a/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py +++ b/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py @@ -21,14 +21,16 @@ per-sample text. The sharded pool is the drain-phase accelerator and is auto-sized (one shard per core block); live mid-run flushes run on a small in-process thread pool (``--tokenizer-workers``, default 2) owned by the -queue's live loop. A tokenizer without a fast (Rust) backend is a startup -error, never a silent slow path. Platforms without CPU affinity (e.g. macOS) -shard unpinned at full speed; only cache/NUMA locality is lost. +queue's live loop. A tokenizer without a supported optimized backend (a Hugging +Face Fast ``tokenizers`` backend or a Rust ``tiktoken.Encoding`` core) is a +startup error, never a silent slow path. Platforms without CPU affinity (e.g. +macOS) shard unpinned at full speed; only cache/NUMA locality is lost. """ from __future__ import annotations import asyncio +import inspect import json import logging import multiprocessing @@ -38,14 +40,15 @@ from collections.abc import Callable from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor from itertools import chain -from typing import TYPE_CHECKING, Any, Protocol, cast +from typing import TYPE_CHECKING, Any, Protocol import msgspec +from transformers import AutoTokenizer +from transformers.utils import logging as transformers_logging + from inference_endpoint.endpoint_client.cpu_affinity import ( cgroup_clamped_cpus, ) -from transformers import AutoTokenizer -from transformers.utils import logging as transformers_logging # A single rayon pool peaks at ~8 cores for BPE (memory-bound; more threads # oversubscribe and, on multi-socket Grace, cross the NUMA boundary). Sharding @@ -122,14 +125,63 @@ def load_reference_tokenizer(tokenizer_name: str) -> Any: return AutoTokenizer.from_pretrained(tokenizer_name, trust_remote_code=True) +class _TikTokenBackend: + """Length-counting adapter for a Transformers wrapper around tiktoken. + + Hugging Face labels custom tokenizers such as Kimi K3's + ``TikTokenTokenizer`` as "slow" because they inherit + ``PreTrainedTokenizer`` and do not expose ``backend_tokenizer``. Their BPE + core is nevertheless the Rust implementation in ``tiktoken.Encoding``. + + Keep the model-provided wrapper in the loop instead of calling + ``Encoding.encode_batch`` directly. Kimi K3's ``encode`` method preserves + its special-token policy and splits very long or pathological strings to + avoid tiktoken's input-size and long-whitespace-run failure modes. The + outer Endpoints process sharding supplies parallelism across texts. + """ + + def __init__(self, tokenizer: Any) -> None: + self._tokenizer = tokenizer + # Kimi K3 exposes this explicit switch so raw user/model text cannot + # reinterpret a literal ``<|...|>`` substring as an XTML control token. + # Other tiktoken-backed wrappers may not expose it. + try: + encode_parameters = inspect.signature(tokenizer.encode).parameters + except (TypeError, ValueError): + encode_parameters = {} + self._supports_allow_special = "allow_special_tokens" in encode_parameters + + def count_texts(self, texts: list[str]) -> list[int]: + if self._supports_allow_special: + return [ + len(self._tokenizer.encode(text, allow_special_tokens=False)) + for text in texts + ] + return [len(self._tokenizer.encode(text)) for text in texts] + + +def _backend_from_tokenizer(tokenizer: Any) -> Any | None: + """Return a supported optimized length-counting backend.""" + backend = getattr(tokenizer, "backend_tokenizer", None) + if backend is not None: + return backend + + model = getattr(tokenizer, "model", None) + model_module = type(model).__module__.partition(".")[0] + if model_module == "tiktoken" and callable(getattr(tokenizer, "encode", None)): + return _TikTokenBackend(tokenizer) + return None + + def load_reference_backend(tokenizer_name: str) -> Any | None: - """Raw tokenizers backend (fast Rust path) for length counting. + """Optimized backend for reference-tokenizer length counting. - Counting through the backend avoids the transformers "sequence longer than - model_max_length" warning the Python wrapper emits, so no ``model_max_length`` - override is needed. ``None`` if the tokenizer has no fast backend. + Usually this is the raw Hugging Face ``tokenizers`` backend. A custom + Transformers tokenizer backed by ``tiktoken.Encoding`` receives an adapter + that preserves its model-specific encode behavior. ``None`` means there is + no supported accelerated backend. """ - return getattr(load_reference_tokenizer(tokenizer_name), "backend_tokenizer", None) + return _backend_from_tokenizer(load_reference_tokenizer(tokenizer_name)) def _init_worker(tokenizer_name: str, core_set: list[int]) -> None: @@ -160,15 +212,34 @@ def _init_worker(tokenizer_name: str, core_set: list[int]) -> None: global _WORKER_BACKEND _WORKER_BACKEND = load_reference_backend(tokenizer_name) if _WORKER_BACKEND is not None: - _WORKER_BACKEND.encode("warmup", add_special_tokens=False) + encode_lengths(_WORKER_BACKEND, ["warmup"]) def encode_lengths(backend: Any, texts: list[str]) -> list[int]: - """Per-text token counts via the raw tokenizers backend, one rayon call.""" + """Per-text counts through an optimized HF Fast or tiktoken backend.""" + count_texts = getattr(backend, "count_texts", None) + if count_texts is not None: + return count_texts(texts) encode_batch = getattr(backend, "encode_batch_fast", None) or backend.encode_batch return [len(e.ids) for e in encode_batch(texts, add_special_tokens=False)] +def _chat_template_token_count(tokenizer: Any, messages: list[dict[str, Any]]) -> int: + """Count a rendered conversation through the tokenizer's native path. + + In particular, Kimi K3 assigns ``allow_special`` per XTML segment. Rendering + to one string and subsequently calling ``tokenize`` loses those boundaries + and can reinterpret literal special-token text from users or tools as + structure. ``tokenize=True`` preserves the model tokenizer's exact policy. + """ + encoded = tokenizer.apply_chat_template( + messages, tokenize=True, add_generation_prompt=False + ) + if isinstance(encoded, dict): + encoded = encoded["input_ids"] + return len(encoded) + + def _worker_encode_lengths(texts: list[str]) -> list[int]: """Per-text token counts for a shard, in one rayon-parallel call.""" backend = _WORKER_BACKEND @@ -248,6 +319,7 @@ def __init__( max_workers=max(1, live_workers), thread_name_prefix="tok-thread" ) self._load_tokenizer() # also computes the chat-template baseline + self._backend = _backend_from_tokenizer(self._tokenizer) # Process shards for the batched text path. Empty only when # in-process mode was explicitly requested (n_workers=0 or # cores_per_worker<=0; ctor overrides used primarily by tests — @@ -263,22 +335,11 @@ def _load_tokenizer(self) -> None: # Baseline = tokens from a [user, empty-assistant] pair minus the [user] # prefix alone, so the assistant frame is subtracted from message counts. try: - prefix = cast( - str, - tok.apply_chat_template( - [_PREFIX_USER_MSG], tokenize=False, add_generation_prompt=False - ), + self._prefix_len = _chat_template_token_count(tok, [_PREFIX_USER_MSG]) + with_assistant = _chat_template_token_count( + tok, [_PREFIX_USER_MSG, {"role": "assistant", "content": ""}] ) - self._prefix_len = len(tok.tokenize(prefix)) - with_assistant = cast( - str, - tok.apply_chat_template( - [_PREFIX_USER_MSG, {"role": "assistant", "content": ""}], - tokenize=False, - add_generation_prompt=False, - ), - ) - self._baseline = len(tok.tokenize(with_assistant)) - self._prefix_len + self._baseline = with_assistant - self._prefix_len except Exception: self._prefix_len = 0 self._baseline = 0 @@ -296,18 +357,19 @@ def _setup_shards(self, cores_per_worker: int, n_workers: int) -> None: process's affinity mask (or the online CPU count when the platform has no affinity API — shards then run unpinned), always at least one; an explicit count is clamped to that capacity. An environment that - cannot shard — no fast Rust backend, a warmup that fails or exceeds - its budget — raises instead of silently degrading to a slow path - that cannot keep up with completions. + cannot shard — no optimized backend, a warmup that fails or exceeds + its budget — raises instead of silently degrading to a slow path that + cannot keep up with completions. """ if cores_per_worker <= 0 or n_workers == 0: logger.info("BatchTokenizer: in-process tokenization (explicit)") return - if getattr(self._tokenizer, "backend_tokenizer", None) is None: + if self._backend is None: raise RuntimeError( - f"tokenizer {self._tokenizer_name!r} has no fast (Rust) " - "backend; token metrics require one to keep up with " - "completions. Use a fast tokenizer, or disable token metrics." + f"tokenizer {self._tokenizer_name!r} has no supported optimized " + "backend (Hugging Face Fast or tiktoken); token metrics require " + "one to keep up with completions. Use a supported tokenizer, " + "add a backend adapter, or disable token metrics." ) # The full allowed CPU universe (cgroup-clamped) drives the shard block # math. cgroup_clamped_cpus owns the probe-and-restore of this process's @@ -364,11 +426,9 @@ def _setup_shards(self, cores_per_worker: int, n_workers: int) -> None: # -- batched text path -------------------------------------------------- def _encode_lengths_inproc(self, texts: list[str]) -> list[int]: - tok = self._tokenizer - backend = getattr(tok, "backend_tokenizer", None) - if backend is not None: - return encode_lengths(backend, texts) - return [len(tok.tokenize(t)) for t in texts] # type: ignore[union-attr] + if self._backend is not None: + return encode_lengths(self._backend, texts) + return [len(self._tokenizer.tokenize(t)) for t in texts] # type: ignore[union-attr] async def count_texts_async( self, @@ -424,10 +484,9 @@ def _token_count_message( if tool_calls: msg["tool_calls"] = _normalize_tool_calls_for_template(tool_calls) try: - rendered = tok.apply_chat_template( # type: ignore[union-attr] - [_PREFIX_USER_MSG, msg], tokenize=False, add_generation_prompt=False + full = _chat_template_token_count( # type: ignore[arg-type] + tok, [_PREFIX_USER_MSG, msg] ) - full = len(tok.tokenize(rendered)) # type: ignore[union-attr] return max(0, full - self._prefix_len - self._baseline) except Exception as exc: key = f"{self._tokenizer_name}:{type(exc).__name__}" diff --git a/src/inference_endpoint/commands/benchmark/execute.py b/src/inference_endpoint/commands/benchmark/execute.py index e76203c1..f0c4bc79 100644 --- a/src/inference_endpoint/commands/benchmark/execute.py +++ b/src/inference_endpoint/commands/benchmark/execute.py @@ -488,7 +488,10 @@ def setup_benchmark( model_name = config.model_params.name tokenizer_override = config.model_params.tokenizer_name tokenizer_name: str | None - if tokenizer_override: + if not config.model_params.enable_token_metrics: + logger.info("Client-side token metrics disabled by configuration") + tokenizer_name = None + elif tokenizer_override: if not _check_tokenizer_exists(tokenizer_override): raise SetupError( f"Tokenizer override '{tokenizer_override}' could not be verified. " diff --git a/src/inference_endpoint/config/schema.py b/src/inference_endpoint/config/schema.py index b4d6f6c5..ff7e4b22 100644 --- a/src/inference_endpoint/config/schema.py +++ b/src/inference_endpoint/config/schema.py @@ -336,6 +336,10 @@ class ModelParams(BaseModel): help="HF repo ID or local path for the tokenizer. Overrides model name for client-side token metrics (ISL/OSL/TPOT).", ), ] = None + enable_token_metrics: bool = Field( + True, + description="Whether to collect client-side token metrics (ISL/OSL/TPOT).", + ) @model_validator(mode="after") def _validate_generation_lengths(self) -> Self: diff --git a/tests/unit/commands/test_benchmark.py b/tests/unit/commands/test_benchmark.py index 48c21785..07105db9 100644 --- a/tests/unit/commands/test_benchmark.py +++ b/tests/unit/commands/test_benchmark.py @@ -2502,6 +2502,35 @@ def test_no_override_yields_none_when_model_has_no_tokenizer( assert ctx.tokenizer_name is None + @pytest.mark.unit + def test_disabled_token_metrics_skip_tokenizer_resolution( + self, tmp_path, _base_patches, _simple_dataset, _rt_settings + ): + config = OfflineConfig( + **_OFFLINE_KWARGS + | {"model_params": {"name": "test-model", "enable_token_metrics": False}}, + report_dir=str(tmp_path), + ) + mock_check = MagicMock() + with ( + patch( + "inference_endpoint.commands.benchmark.execute._check_tokenizer_exists", + mock_check, + ), + patch( + "inference_endpoint.commands.benchmark.execute._load_datasets", + return_value=(_simple_dataset, [], []), + ), + patch( + "inference_endpoint.commands.benchmark.execute.RuntimeSettings.from_config", + return_value=_rt_settings, + ), + ): + ctx = setup_benchmark(config, TestMode.PERF) + + mock_check.assert_not_called() + assert ctx.tokenizer_name is None + class TestSetupBenchmark: """Tests for setup-time config normalization and sample accounting.""" diff --git a/tests/unit/config/test_schema.py b/tests/unit/config/test_schema.py index 1e4b977a..ae7425cf 100644 --- a/tests/unit/config/test_schema.py +++ b/tests/unit/config/test_schema.py @@ -76,6 +76,12 @@ def test_defaults(self): assert params.temperature is None assert params.max_new_tokens == 1024 assert params.tokenizer_name is None + assert params.enable_token_metrics is True + + @pytest.mark.unit + def test_token_metrics_can_be_disabled(self): + params = ModelParams(name="test", enable_token_metrics=False) + assert params.enable_token_metrics is False @pytest.mark.unit def test_with_osl_distribution(self): diff --git a/uv.lock b/uv.lock index 44e64f5a..188b30b0 100644 --- a/uv.lock +++ b/uv.lock @@ -1328,6 +1328,7 @@ dependencies = [ { name = "pyzmq", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, { name = "rich", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, { name = "sentencepiece", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, + { name = "tiktoken", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, { name = "transformers", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, { name = "typing-extensions", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, { name = "urllib3", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, @@ -1430,6 +1431,7 @@ requires-dist = [ { name = "sphinx-autodoc-typehints", marker = "extra == 'dev'", specifier = "==3.9.11" }, { name = "sphinx-rtd-theme", marker = "extra == 'dev'", specifier = "==3.1.0" }, { name = "sqlalchemy", marker = "extra == 'sql'", specifier = "==2.0.48" }, + { name = "tiktoken", specifier = "==0.13.0" }, { name = "transformers", specifier = "==5.5.0" }, { name = "typing-extensions", specifier = "==4.15.0" }, { name = "urllib3", specifier = "==2.7.0" }, @@ -3672,8 +3674,8 @@ name = "tiktoken" version = "0.13.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "regex", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "requests", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "regex", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, + { name = "requests", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/e4/e5/5f3cb2159769d0f4324c0e9e87f9de3c4b1cd45848a96b2eb3566ad5ca77/tiktoken-0.13.0.tar.gz", hash = "sha256:c9435714c3a84c2319499de9a300c0e604449dd0799ff246458b3bb6a7f433c1", size = 38986, upload-time = "2026-05-15T04:51:27.153Z" } wheels = [ From fefa32f2e148bba7ee6969ee40d18234fa89b881 Mon Sep 17 00:00:00 2001 From: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> Date: Mon, 3 Aug 2026 17:14:23 -0700 Subject: [PATCH 2/6] fix format Signed-off-by: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> --- .../async_utils/services/metrics_aggregator/token_metrics.py | 5 ++--- .../config/templates/concurrency_template_full.yaml | 1 + .../config/templates/offline_template_full.yaml | 1 + .../config/templates/online_template_full.yaml | 1 + 4 files changed, 5 insertions(+), 3 deletions(-) diff --git a/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py b/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py index 73f90d7c..5fa5da2c 100644 --- a/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py +++ b/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py @@ -43,12 +43,11 @@ from typing import TYPE_CHECKING, Any, Protocol import msgspec -from transformers import AutoTokenizer -from transformers.utils import logging as transformers_logging - from inference_endpoint.endpoint_client.cpu_affinity import ( cgroup_clamped_cpus, ) +from transformers import AutoTokenizer +from transformers.utils import logging as transformers_logging # A single rayon pool peaks at ~8 cores for BPE (memory-bound; more threads # oversubscribe and, on multi-socket Grace, cross the NUMA boundary). Sharding diff --git a/src/inference_endpoint/config/templates/concurrency_template_full.yaml b/src/inference_endpoint/config/templates/concurrency_template_full.yaml index 9c306a84..9a9c1238 100644 --- a/src/inference_endpoint/config/templates/concurrency_template_full.yaml +++ b/src/inference_endpoint/config/templates/concurrency_template_full.yaml @@ -19,6 +19,7 @@ model_params: osl_distribution: null # Output sequence length distribution streaming: 'on' # Streaming mode: auto/on/off | options: auto, on, off tokenizer_name: null # HF repo ID or local path for the tokenizer. Overrides model name for client-side token metrics (ISL/OSL/TPOT). + enable_token_metrics: true # Whether to collect client-side token metrics (ISL/OSL/TPOT). datasets: # Dataset configs - name: perf type: performance # Dataset purpose: performance or accuracy | options: performance, accuracy diff --git a/src/inference_endpoint/config/templates/offline_template_full.yaml b/src/inference_endpoint/config/templates/offline_template_full.yaml index 29d52a27..64ad824b 100644 --- a/src/inference_endpoint/config/templates/offline_template_full.yaml +++ b/src/inference_endpoint/config/templates/offline_template_full.yaml @@ -19,6 +19,7 @@ model_params: osl_distribution: null # Output sequence length distribution streaming: 'off' # Streaming mode: auto/on/off | options: auto, on, off tokenizer_name: null # HF repo ID or local path for the tokenizer. Overrides model name for client-side token metrics (ISL/OSL/TPOT). + enable_token_metrics: true # Whether to collect client-side token metrics (ISL/OSL/TPOT). datasets: # Dataset configs - name: perf type: performance # Dataset purpose: performance or accuracy | options: performance, accuracy diff --git a/src/inference_endpoint/config/templates/online_template_full.yaml b/src/inference_endpoint/config/templates/online_template_full.yaml index 89fac190..33c567ba 100644 --- a/src/inference_endpoint/config/templates/online_template_full.yaml +++ b/src/inference_endpoint/config/templates/online_template_full.yaml @@ -19,6 +19,7 @@ model_params: osl_distribution: null # Output sequence length distribution streaming: 'on' # Streaming mode: auto/on/off | options: auto, on, off tokenizer_name: null # HF repo ID or local path for the tokenizer. Overrides model name for client-side token metrics (ISL/OSL/TPOT). + enable_token_metrics: true # Whether to collect client-side token metrics (ISL/OSL/TPOT). datasets: # Dataset configs - name: perf type: performance # Dataset purpose: performance or accuracy | options: performance, accuracy From 67ce1c5cad43235adefce97320345a74a546ad51 Mon Sep 17 00:00:00 2001 From: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> Date: Mon, 3 Aug 2026 17:28:40 -0700 Subject: [PATCH 3/6] fix tests Signed-off-by: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> --- .../services/metrics_aggregator/token_metrics.py | 7 ++++--- .../services/metrics_aggregator/test_token_metrics.py | 4 ++-- 2 files changed, 6 insertions(+), 5 deletions(-) diff --git a/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py b/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py index 5fa5da2c..6b02acad 100644 --- a/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py +++ b/src/inference_endpoint/async_utils/services/metrics_aggregator/token_metrics.py @@ -145,10 +145,11 @@ def __init__(self, tokenizer: Any) -> None: # reinterpret a literal ``<|...|>`` substring as an XTML control token. # Other tiktoken-backed wrappers may not expose it. try: - encode_parameters = inspect.signature(tokenizer.encode).parameters + self._supports_allow_special = ( + "allow_special_tokens" in inspect.signature(tokenizer.encode).parameters + ) except (TypeError, ValueError): - encode_parameters = {} - self._supports_allow_special = "allow_special_tokens" in encode_parameters + self._supports_allow_special = False def count_texts(self, texts: list[str]) -> list[int]: if self._supports_allow_special: diff --git a/tests/unit/async_utils/services/metrics_aggregator/test_token_metrics.py b/tests/unit/async_utils/services/metrics_aggregator/test_token_metrics.py index 3587bc0e..633e898c 100644 --- a/tests/unit/async_utils/services/metrics_aggregator/test_token_metrics.py +++ b/tests/unit/async_utils/services/metrics_aggregator/test_token_metrics.py @@ -335,12 +335,12 @@ def test_blocks_are_disjoint_consecutive_core_sets(self, monkeypatch): blocks = [set(ex.initargs[1]) for ex in tok._procs] assert blocks == [set(range(0, 8)), set(range(8, 16))] - def test_no_fast_backend_is_a_startup_error(self, monkeypatch): + def test_no_optimized_backend_is_a_startup_error(self, monkeypatch): monkeypatch.setattr( token_metrics_module, "ProcessPoolExecutor", _SpawnlessExecutor ) with patch(_MOCK_TARGET, _FakeTokenizer): # no backend_tokenizer - with pytest.raises(RuntimeError, match="fast"): + with pytest.raises(RuntimeError, match="optimized"): BatchTokenizer("fake", live_workers=2) def test_affinity_unavailable_shards_unpinned(self, monkeypatch): From 62ab1e1b963eb013b0fd2c2318fb81ec8536d5a7 Mon Sep 17 00:00:00 2001 From: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> Date: Mon, 3 Aug 2026 17:48:30 -0700 Subject: [PATCH 4/6] Bump aiohttp to 3.14.3 to address several CVE Signed-off-by: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> --- uv.lock | 852 ++++++++++++++++++++++++++++---------------------------- 1 file changed, 426 insertions(+), 426 deletions(-) diff --git a/uv.lock b/uv.lock index 188b30b0..8215ece9 100644 --- a/uv.lock +++ b/uv.lock @@ -68,14 +68,14 @@ name = "aiohttp" version = "3.14.3" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "aiohappyeyeballs", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, - { name = "aiosignal", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, - { name = "attrs", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, - { name = "frozenlist", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, - { name = "multidict", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 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and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, - { name = "typing-extensions", marker = "(python_full_version < '3.13' and platform_machine == 'arm64' and sys_platform == 'darwin') or (python_full_version < '3.13' and platform_machine == 'x86_64' and sys_platform == 'darwin') or (python_full_version < '3.13' and platform_machine == 'aarch64' and 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== 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, ] sdist = { url = "https://files.pythonhosted.org/packages/61/62/06741b579156360248d1ec624842ad0edf697050bbaf7c3e46394e106ad1/aiosignal-1.4.0.tar.gz", hash = "sha256:f47eecd9468083c2029cc99945502cb7708b082c232f9aca65da147157b251c7", size = 25007, upload-time = "2025-07-03T22:54:43.528Z" } wheels = [ @@ -160,14 +160,14 @@ name = "anthropic" version = "0.111.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "anyio", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "distro", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or 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}, + { name = "jiter" }, + { name = "pydantic" }, + { name = "sniffio" }, + { name = "typing-extensions" }, ] sdist = { url = "https://files.pythonhosted.org/packages/b9/8a/9afc7305a2ce4b52b30e137f83cd2a6a90b918b3997073db11bb5a1de55a/anthropic-0.111.0.tar.gz", hash = "sha256:39cbda0ac17a6d423e5bf609811bd69b26eddf6299d7a468126e05bc711ce826", size = 934001, upload-time = "2026-06-18T17:31:44.733Z" } wheels = [ @@ -179,8 +179,8 @@ name = "anyio" version = "4.13.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "idna", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and 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= "xxhash" }, ] sdist = { url = "https://files.pythonhosted.org/packages/22/22/73e46ac7a8c25e7ef0b3bd6f10da3465021d90219a32eb0b4d2afea4c56e/datasets-4.8.4.tar.gz", hash = "sha256:a1429ed853275ce7943a01c6d2e25475b4501eb758934362106a280470df3a52", size = 604382, upload-time = "2026-03-23T14:21:17.987Z" } wheels = [ @@ -791,7 +791,7 @@ name = "dotenv" version = "0.9.9" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "python-dotenv", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "python-dotenv" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/b2/b7/545d2c10c1fc15e48653c91efde329a790f2eecfbbf2bd16003b5db2bab0/dotenv-0.9.9-py2.py3-none-any.whl", hash = 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and platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "dnspython", marker = "python_full_version < '4'" }, + { name = "idna", marker = "python_full_version < '4'" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f5/22/900cb125c76b7aaa450ce02fd727f452243f2e91a61af068b40adba60ea9/email_validator-2.3.0.tar.gz", hash = "sha256:9fc05c37f2f6cf439ff414f8fc46d917929974a82244c20eb10231ba60c54426", size = 51238, upload-time = "2025-08-26T13:09:06.831Z" } wheels = [ @@ -856,8 +856,8 @@ name = "faiss-cpu" version = "1.11.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "numpy", version = "1.26.4", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "packaging", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "numpy", version = "1.26.4", source = { registry = "https://pypi.org/simple" } }, + { name = "packaging" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/3b/d3/7178fa07047fd770964a83543329bb5e3fc1447004cfd85186ccf65ec3ee/faiss_cpu-1.11.0-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:356437b9a46f98c25831cdae70ca484bd6c05065af6256d87f6505005e9135b9", size = 3313807, upload-time = "2025-04-28T07:47:54.533Z" }, @@ -1033,7 +1033,7 @@ wheels = [ [package.optional-dependencies] http = [ - { name = "aiohttp", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or 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'x86_64' and sys_platform == 'linux')" }, + { name = "cryptography" }, + { name = "pyasn1-modules" }, ] sdist = { url = "https://files.pythonhosted.org/packages/81/1c/70b23fc52b2bb3c70b379f3bd05c4a60ab3a873e30c6bd21c57e0154848a/google_auth-2.55.0.tar.gz", hash = "sha256:fcd3a130f575fa36403d38774af1c64a4fbfbca09215f0589d2372b5119697cb", size = 349379, upload-time = "2026-06-15T22:33:16.466Z" } wheels = [ @@ -1060,7 +1060,7 @@ wheels = [ [package.optional-dependencies] requests = [ - { name = "requests", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "requests" }, ] [[package]] @@ -1068,16 +1068,16 @@ name = "google-genai" version = "2.9.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "anyio", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "distro", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "google-auth", extra = ["requests"], marker = "(platform_machine == 'arm64' and sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl') or (platform_machine == 'x86_64' and sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl') or (platform_machine == 'aarch64' and sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl') or (platform_machine == 'x86_64' and sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl') 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"https://pypi.org/simple" } dependencies = [ - { name = "requests", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "requests" }, ] sdist = { url = "https://files.pythonhosted.org/packages/77/30/b3a6f6a2e00f8153549c2fa345c58ae1ce8e5f3153c2fe0484d444c3abcb/google_search_results-2.4.2.tar.gz", hash = "sha256:603a30ecae2af8e600b22635757a6df275dad4b934f975e67878ccd640b78245", size = 18818, upload-time = "2023-03-10T11:13:09.953Z" } @@ -1135,7 +1135,7 @@ name = "hdrhistogram" version = "0.10.3" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "pbr", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, + { name = "pbr" }, ] sdist = { url = "https://files.pythonhosted.org/packages/c2/79/674aad5279dd1a77b85efa1cbf8dcead209dc5f38f55cbbfd75bc20cc65b/hdrhistogram-0.10.3.tar.gz", hash = "sha256:f3890df0a6f3c582a0a8b2a49a568729cb319f1600683e4458cc98b68ca32841", size = 60077, upload-time = "2023-08-11T04:00:36.003Z" } wheels = [ @@ -1184,8 +1184,8 @@ name = "httpcore" version = "1.0.9" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "certifi", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' 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"https://files.pythonhosted.org/packages/06/94/82699a10bca87a5556c9c59b5963f2d039dbd239f25bc2a63907a05a14cb/httpcore-1.0.9.tar.gz", hash = "sha256:6e34463af53fd2ab5d807f399a9b45ea31c3dfa2276f15a2c3f00afff6e176e8", size = 85484, upload-time = "2025-04-24T22:06:22.219Z" } wheels = [ @@ -1223,10 +1223,10 @@ name = "httpx" version = "0.28.1" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "anyio", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or 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(platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "sortedcontainers" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f5/dd/633e2cd62377333b7681628aee2ec1d88166f5bdf916b08c98b1e8288ad3/hypothesis-6.151.10.tar.gz", hash = "sha256:6c9565af8b4aa3a080b508f66ce9c2a77dd613c7e9073e27fc7e4ef9f45f8a27", size = 463762, upload-time = "2026-03-29T01:06:22.19Z" } wheels = [ @@ -1307,76 +1307,76 @@ name = "inference-endpoint" version = "0.1.0" source = { editable = "." } dependencies = [ - { name = "colorama", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 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"sphinx" }, + { name = "sphinx-autodoc-typehints" }, + { name = "sphinx-rtd-theme" }, + { name = "virtualenv" }, ] performance = [ - { name = "memory-profiler", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "pytest-benchmark", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "memory-profiler" }, + { name = "pytest-benchmark" }, ] sql = [ - { name = "sqlalchemy", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 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sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "attrs" }, ] sdist = { url = "https://files.pythonhosted.org/packages/35/87/bcda8e46c88d0e34cad2f09ee2d0c7f5957bccdb9791b0b934ec84d84be4/jsonlines-4.0.0.tar.gz", hash = "sha256:0c6d2c09117550c089995247f605ae4cf77dd1533041d366351f6f298822ea74", size = 11359, upload-time = "2023-09-01T12:34:44.187Z" } wheels = [ @@ -1562,10 +1562,10 @@ name = "jsonschema" version = "4.26.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "attrs", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "jsonschema-specifications", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or 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(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "psutil" }, ] sdist = { url = "https://files.pythonhosted.org/packages/b2/88/e1907e1ca3488f2d9507ca8b0ae1add7b1cd5d3ca2bc8e5b329382ea2c7b/memory_profiler-0.61.0.tar.gz", hash = "sha256:4e5b73d7864a1d1292fb76a03e82a3e78ef934d06828a698d9dada76da2067b0", size = 35935, upload-time = "2022-11-15T17:57:28.994Z" } wheels = [ @@ -1806,11 +1806,11 @@ name = "mistralai" version = "1.7.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "eval-type-backport", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "httpx", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' 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sys_platform == 'linux')" }, + { name = "eval-type-backport" }, + { name = "httpx" }, + { name = "pydantic" }, + { name = "python-dateutil" }, + { name = "typing-inspection" }, ] sdist = { url = "https://files.pythonhosted.org/packages/98/d0/11e0116a02aa88701422ccc048185ed8834754f3b94140bfad09620c9d11/mistralai-1.7.0.tar.gz", hash = "sha256:94e3eb23c1d3ed398a95352062fd8c92993cc3754ed18e9a35b60aa3db0bd103", size = 141981, upload-time = "2025-04-16T19:42:56.703Z" } wheels = [ @@ -1939,7 +1939,7 @@ name = "multiprocess" version = "0.70.19" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "dill", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra 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(sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, + { name = "dill" }, ] sdist = { url = "https://files.pythonhosted.org/packages/a2/f2/e783ac7f2aeeed14e9e12801f22529cc7e6b7ab80928d6dcce4e9f00922d/multiprocess-0.70.19.tar.gz", hash = "sha256:952021e0e6c55a4a9fe4cd787895b86e239a40e76802a789d6305398d3975897", size = 2079989, upload-time = "2026-01-19T06:47:39.744Z" } wheels = [ @@ -1965,12 +1965,12 @@ name = "myst-parser" version = "5.0.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "docutils", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "jinja2", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and 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(platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "anyio" }, + { name = "distro" }, + { name = "httpx" }, + { name = "jiter" }, + { name = "pydantic" }, + { name = "sniffio" }, + { name = "tqdm" }, + { name = "typing-extensions" }, ] sdist = { url = "https://files.pythonhosted.org/packages/f3/fa/88d0c58a0c58df7e6758e66b99c5d028d5e0bb49f8812d7203940cd9dbf1/openai-2.43.0.tar.gz", hash = "sha256:e74d238200a26868977002190fb6631613480a93dfe0c9c982e77021ed60a017", size = 785369, upload-time = "2026-06-17T17:06:56.06Z" } wheels = [ @@ -2261,7 +2261,7 @@ name = "openai-harmony" version = "0.0.8" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "pydantic", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' 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== 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "cachecontrol", extra = ["filecache"], marker = "extra == 'extra-18-inference-endpoint-dev' or (extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, + { name = "cyclonedx-python-lib" }, + { name = "packaging" }, + { name = "pip-api" }, + { name = "pip-requirements-parser" }, + { name = "platformdirs" }, + { name = "requests" }, + { name = "rich" }, + { name = "tomli" }, + { name = "tomli-w" }, ] sdist = { url = "https://files.pythonhosted.org/packages/bd/89/0e999b413facab81c33d118f3ac3739fd02c0622ccf7c4e82e37cebd8447/pip_audit-2.10.0.tar.gz", hash = "sha256:427ea5bf61d1d06b98b1ae29b7feacc00288a2eced52c9c58ceed5253ef6c2a4", size = 53776, upload-time = "2025-12-01T23:42:40.612Z" } wheels = [ 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{ name = "pydantic-core" }, + { name = "typing-extensions" }, + { name = "typing-inspection" }, ] sdist = { url = "https://files.pythonhosted.org/packages/69/44/36f1a6e523abc58ae5f928898e4aca2e0ea509b5aa6f6f392a5d882be928/pydantic-2.12.5.tar.gz", hash = "sha256:4d351024c75c0f085a9febbb665ce8c0c6ec5d30e903bdb6394b7ede26aebb49", size = 821591, upload-time = "2025-11-26T15:11:46.471Z" } wheels = [ @@ -2753,7 +2753,7 @@ wheels = [ [package.optional-dependencies] email = [ - { name = "email-validator", marker = "(python_full_version < '4' and platform_machine == 'arm64' and sys_platform == 'darwin') or (python_full_version < '4' and platform_machine == 'x86_64' and sys_platform == 'darwin') or (python_full_version < '4' and platform_machine == 'aarch64' and sys_platform == 'linux') or (python_full_version < '4' and platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "email-validator", marker = "python_full_version < '4'" }, ] [[package]] @@ -2761,7 +2761,7 @@ name = 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@@ -3635,7 +3635,7 @@ name = "sympy" version = "1.14.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "mpmath", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "mpmath" }, ] sdist = { url = "https://files.pythonhosted.org/packages/83/d3/803453b36afefb7c2bb238361cd4ae6125a569b4db67cd9e79846ba2d68c/sympy-1.14.0.tar.gz", hash = "sha256:d3d3fe8df1e5a0b42f0e7bdf50541697dbe7d23746e894990c030e2b05e72517", size = 7793921, upload-time = "2025-04-27T18:05:01.611Z" } wheels = [ @@ -3674,8 +3674,8 @@ name = "tiktoken" version = "0.13.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "regex", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'darwin' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, - { name = "requests", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform != 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"https://files.pythonhosted.org/packages/e4/e5/5f3cb2159769d0f4324c0e9e87f9de3c4b1cd45848a96b2eb3566ad5ca77/tiktoken-0.13.0.tar.gz", hash = "sha256:c9435714c3a84c2319499de9a300c0e604449dd0799ff246458b3bb6a7f433c1", size = 38986, upload-time = "2026-05-15T04:51:27.153Z" } wheels = [ @@ -3716,7 +3716,7 @@ name = "tokenizers" version = "0.22.2" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "huggingface-hub", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-dev') or (sys_platform != 'darwin' and sys_platform != 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 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sdist = { url = "https://files.pythonhosted.org/packages/73/6f/f80cfef4a312e1fb34baf7d85c72d4411afde10978d4657f8cdd811d3ccc/tokenizers-0.22.2.tar.gz", hash = "sha256:473b83b915e547aa366d1eee11806deaf419e17be16310ac0a14077f1e28f917", size = 372115, upload-time = "2026-01-05T10:45:15.988Z" } wheels = [ @@ -3780,12 +3780,12 @@ resolution-markers = [ "python_full_version >= '4' and platform_machine == 'x86_64' and sys_platform == 'darwin'", ] dependencies = [ - { name = "filelock", version = "3.20.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" }, - { name = "fsspec", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" }, - { name = "jinja2", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" }, - { name = "networkx", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" }, - { name = "sympy", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" }, - { name = "typing-extensions", marker = "platform_machine == 'x86_64' and sys_platform == 'darwin'" }, + { name = "filelock", version = "3.20.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine == 'x86_64' and sys_platform != 'linux'" }, + { name = "fsspec", marker = "platform_machine == 'x86_64' and sys_platform != 'linux'" }, + { name = "jinja2", marker = "platform_machine == 'x86_64' and sys_platform != 'linux'" }, + { name = "networkx", marker = "platform_machine == 'x86_64' and sys_platform != 'linux'" }, + { name = "sympy", marker = "platform_machine == 'x86_64' and sys_platform != 'linux'" }, + { name = "typing-extensions", marker = "platform_machine == 'x86_64' and sys_platform != 'linux'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/4c/0c/d8f77363a7a3350c96e6c9db4ffb101d1c0487cc0b8cdaae1e4bfb2800ad/torch-2.2.2-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:cf12cdb66c9c940227ad647bc9cf5dba7e8640772ae10dfe7569a0c1e2a28aca", size = 755466713, upload-time = "2024-03-27T21:08:48.868Z" }, @@ -3811,10 +3811,10 @@ resolution-markers = [ ] dependencies = [ { name = "cuda-bindings", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "filelock", version = "3.20.0", source = { registry = "https://pypi.org/simple" }, marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "fsspec", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "jinja2", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "networkx", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "filelock", version = "3.20.0", source = { registry = "https://pypi.org/simple" }, marker = "platform_machine != 'x86_64' or sys_platform == 'linux'" }, + { name = "fsspec", marker = "platform_machine != 'x86_64' or sys_platform == 'linux'" }, + { name = "jinja2", marker = "platform_machine != 'x86_64' or sys_platform == 'linux'" }, + { name = "networkx", marker = "platform_machine != 'x86_64' or sys_platform == 'linux'" }, { name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, @@ -3830,10 +3830,10 @@ dependencies = [ { name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "nvidia-nvshmem-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, { name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "setuptools", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, - { name = "sympy", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "setuptools", marker = "platform_machine != 'x86_64' or sys_platform == 'linux'" }, + { name = "sympy", marker = "platform_machine != 'x86_64' or sys_platform == 'linux'" }, { name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" }, - { name = "typing-extensions", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "typing-extensions", marker = "platform_machine != 'x86_64' or sys_platform == 'linux'" }, ] wheels = [ { url = "https://files.pythonhosted.org/packages/d3/54/a2ba279afcca44bbd320d4e73675b282fcee3d81400ea1b53934efca6462/torch-2.10.0-2-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:13ec4add8c3faaed8d13e0574f5cd4a323c11655546f91fbe6afa77b57423574", size = 79498202, upload-time = "2026-02-10T21:44:52.603Z" }, @@ -3874,16 +3874,16 @@ name = "transformers" version = "5.5.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "huggingface-hub", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and 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(platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux')" }, + { name = "anyio" }, + { name = "distro" }, + { name = "httpx" }, + { name = "jiter" }, + { name = "pydantic" }, + { name = "sniffio" }, + { name = "typing-extensions" }, ] sdist = { url = "https://files.pythonhosted.org/packages/c1/d7/35511e37c87025ce3928d7c98a661680140076407c813d4020e746a77214/writer_sdk-3.0.0.tar.gz", hash = "sha256:99815ecff4d112a791280ca9d5c8d4884fa2d13d8e4c454af163653f0251aed2", size = 305155, upload-time = "2026-06-02T18:27:41.954Z" } wheels = [ @@ -4168,9 +4168,9 @@ name = "yarl" version = "1.23.0" source = { registry = "https://pypi.org/simple" } dependencies = [ - { name = "idna", marker = "(platform_machine == 'arm64' and sys_platform == 'darwin') or (platform_machine == 'x86_64' and sys_platform == 'darwin') or (platform_machine == 'aarch64' and sys_platform == 'linux') or (platform_machine == 'x86_64' and sys_platform == 'linux') 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'extra-18-inference-endpoint-dev') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-performance') or (sys_platform == 'linux' and extra == 'extra-18-inference-endpoint-bfcl' and extra == 'extra-18-inference-endpoint-test')" }, + { name = "idna" }, + { name = "multidict" }, + { name = "propcache" }, ] sdist = { url = "https://files.pythonhosted.org/packages/23/6e/beb1beec874a72f23815c1434518bfc4ed2175065173fb138c3705f658d4/yarl-1.23.0.tar.gz", hash = "sha256:53b1ea6ca88ebd4420379c330aea57e258408dd0df9af0992e5de2078dc9f5d5", size = 194676, upload-time = "2026-03-01T22:07:53.373Z" } wheels = [ From 0ade45f73d4627fbb5c5f284bfb8d3fbd921a684 Mon Sep 17 00:00:00 2001 From: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> Date: Mon, 3 Aug 2026 21:45:23 -0700 Subject: [PATCH 5/6] add test coverage Signed-off-by: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> --- .../metrics_aggregator/test_token_metrics.py | 86 ++++++++++++++++++- 1 file changed, 85 insertions(+), 1 deletion(-) diff --git a/tests/unit/async_utils/services/metrics_aggregator/test_token_metrics.py b/tests/unit/async_utils/services/metrics_aggregator/test_token_metrics.py index 633e898c..d8229055 100644 --- a/tests/unit/async_utils/services/metrics_aggregator/test_token_metrics.py +++ b/tests/unit/async_utils/services/metrics_aggregator/test_token_metrics.py @@ -138,9 +138,14 @@ async def test_use_after_close_raises(self): class _FakeTokenizerWithTemplate(_FakeTokenizer): """Tokenizer that supports apply_chat_template for tool-call testing.""" + def __init__(self, load_delay: float = 0.0): + super().__init__(load_delay) + self.chat_template_tokenize_values: list[bool] = [] + def apply_chat_template( self, messages, tokenize=False, add_generation_prompt=False ): + self.chat_template_tokenize_values.append(tokenize) # Simulate 2 wrapper tokens for the template frame. parts = ["WRAPPER", "WRAPPER"] for msg in messages: @@ -161,6 +166,13 @@ def apply_chat_template( @pytest.mark.unit class TestBatchTokenizerMessageTokenization: + def test_chat_template_uses_native_tokenize_path(self): + """Preserve model-specific segment encoding instead of re-tokenizing text.""" + with patch(_MOCK_TARGET, _FakeTokenizerWithTemplate): + with BatchTokenizer("fake", n_workers=0, live_workers=2) as tok: + assert tok._tokenizer.chat_template_tokenize_values + assert all(tok._tokenizer.chat_template_tokenize_values) + @pytest.mark.asyncio async def test_token_count_message_subtracts_baseline(self): """token_count_message_async returns full_tokens - baseline.""" @@ -236,6 +248,26 @@ def encode_batch(self, texts, add_special_tokens=False): return [_Encoding(len(t.split())) for t in texts] +class _FakeTikTokenEncoding: + """Looks like tiktoken.Encoding without importing the optional native module.""" + + __module__ = "tiktoken.core" + + +class _FakeTikTokenTokenizer(_FakeTokenizerWithTemplate): + """Transformers-style slow wrapper whose actual BPE core is tiktoken.""" + + model = _FakeTikTokenEncoding() + + def __init__(self, load_delay: float = 0.0): + super().__init__(load_delay) + self.encoded: list[str] = [] + + def encode(self, text: str) -> list[int]: + self.encoded.append(text) + return list(range(len(text.split()))) + + @pytest.mark.unit class TestEncodeHelpers: def test_encode_lengths_prefers_fast(self): @@ -263,6 +295,42 @@ def from_pretrained(name, **kwargs): assert captured["name"] == "m" assert captured["kwargs"].get("trust_remote_code") is True + def test_load_reference_backend_accepts_tiktoken_core(self, monkeypatch): + class _FakeAutoTokenizer: + @staticmethod + def from_pretrained(name, **kwargs): + assert name == "kimi-k3" + assert kwargs == {"trust_remote_code": True} + return _FakeTikTokenTokenizer() + + monkeypatch.setattr(token_metrics_module, "AutoTokenizer", _FakeAutoTokenizer) + backend = token_metrics_module.load_reference_backend("kimi-k3") + assert backend is not None + assert encode_lengths(backend, ["one two", "three"]) == [2, 1] + + def test_tiktoken_adapter_calls_model_wrapper_encode(self): + tokenizer = _FakeTikTokenTokenizer() + backend = token_metrics_module._backend_from_tokenizer(tokenizer) + assert backend is not None + assert encode_lengths(backend, ["a b", "c"]) == [2, 1] + assert tokenizer.encoded == ["a b", "c"] + + def test_tiktoken_adapter_disallows_specials_when_wrapper_supports_it(self): + class _KimiLikeTokenizer(_FakeTikTokenTokenizer): + def __init__(self): + super().__init__() + self.allow_special_values: list[bool] = [] + + def encode(self, text: str, allow_special_tokens: bool = True) -> list[int]: + self.allow_special_values.append(allow_special_tokens) + return list(range(len(text.split()))) + + tokenizer = _KimiLikeTokenizer() + backend = token_metrics_module._backend_from_tokenizer(tokenizer) + assert backend is not None + assert encode_lengths(backend, ["<|literal|> text"]) == [2] + assert tokenizer.allow_special_values == [False] + def test_worker_encode_lengths_raises_without_backend(self, monkeypatch): monkeypatch.setattr(token_metrics_module, "_WORKER_BACKEND", None) with pytest.raises(RuntimeError, match="backend unavailable"): @@ -343,6 +411,17 @@ def test_no_optimized_backend_is_a_startup_error(self, monkeypatch): with pytest.raises(RuntimeError, match="optimized"): BatchTokenizer("fake", live_workers=2) + def test_tiktoken_backend_can_start_shards(self, monkeypatch): + monkeypatch.setattr( + token_metrics_module, "ProcessPoolExecutor", _SpawnlessExecutor + ) + monkeypatch.setattr( + token_metrics_module, "cgroup_clamped_cpus", lambda: list(range(16)) + ) + with patch(_MOCK_TARGET, _FakeTikTokenTokenizer): + with BatchTokenizer("kimi-k3", live_workers=2) as tok: + assert len(tok._procs) == 2 + def test_affinity_unavailable_shards_unpinned(self, monkeypatch): """No affinity API (e.g. macOS): shard from the CPU count, unpinned.""" monkeypatch.setattr( @@ -468,7 +547,12 @@ def test_init_worker_overrides_inherited_cap_with_block_size(self, monkeypatch): def _no_affinity(pid, mask): raise AttributeError("no sched_setaffinity") - monkeypatch.setattr(token_metrics_module.os, "sched_setaffinity", _no_affinity) + monkeypatch.setattr( + token_metrics_module.os, + "sched_setaffinity", + _no_affinity, + raising=False, + ) with patch(_MOCK_TARGET, _FakeTokenizer): token_metrics_module._init_worker("fake", [0, 1, 2, 3, 4, 5, 6, 7]) assert token_metrics_module.os.environ["RAYON_NUM_THREADS"] == "8" From 06b8151bfb597f4311ff58f214b42b8147991216 Mon Sep 17 00:00:00 2001 From: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> Date: Tue, 4 Aug 2026 11:58:52 -0700 Subject: [PATCH 6/6] fix documentation Signed-off-by: Yijing Li <257409031+yijingl-nvidia@users.noreply.github.com> --- docs/CLI_QUICK_REFERENCE.md | 26 +++++++++++++++++++ .../services/metrics_aggregator/DESIGN.md | 25 +++++++++++------- examples/10_Agentic_Inference/README.md | 2 +- .../kimi_agentic_benchmark.yaml | 6 ++++- .../commands/benchmark/accuracy.py | 17 ++++++------ src/inference_endpoint/config/schema.py | 14 +++++----- .../templates/concurrency_template_full.yaml | 4 +-- .../templates/offline_template_full.yaml | 4 +-- .../templates/online_template_full.yaml | 4 +-- tests/unit/commands/test_benchmark.py | 4 ++- tests/unit/commands/test_score_accuracy.py | 8 +++--- 11 files changed, 79 insertions(+), 35 deletions(-) diff --git a/docs/CLI_QUICK_REFERENCE.md b/docs/CLI_QUICK_REFERENCE.md index 2367e1c9..246f262c 100644 --- a/docs/CLI_QUICK_REFERENCE.md +++ b/docs/CLI_QUICK_REFERENCE.md @@ -96,6 +96,8 @@ Flag names shown as `--full.dotted.path --alias`. Both forms work. - `--model-params.max-new-tokens --max-output-tokens` - Max output tokens (default: 1024) - `--model-params.osl-distribution.min --min-output-tokens` - Min output tokens (default: 1) - `--model-params.streaming --streaming` - Streaming mode: auto/on/off (default: auto) +- `--model-params.tokenizer-name --tokenizer` - HF repo ID or local tokenizer path used for client-side ISL/OSL/TPOT; overrides the served model name +- `--model-params.enable-token-metrics / --model-params.no-enable-token-metrics` - Enable or disable client-side ISL/OSL/TPOT (default: enabled). Disabling skips tokenizer discovery and loading; non-token metrics are still collected. - `--runtime.min-duration-ms --duration` - Min duration: ms default, or with suffix (600s, 10m) (default: 600000) - `--runtime.n-samples-to-issue --num-samples` - Explicit sample count override - `--client.num-workers --workers` - HTTP workers (-1=auto, default: -1) @@ -118,6 +120,30 @@ Flag names shown as `--full.dotted.path --alias`. Both forms work. **All other schema fields** are accessible via dotted paths (e.g., `--model-params.temperature`, `--model-params.top-k`, `--runtime.scheduler-random-seed`). Run `--help` to see the full list. +### Tokenizer selection and Kimi K3 + +By default, the benchmark uses `model_params.name` to find the tokenizer. Set +`tokenizer_name` when the endpoint exposes a served alias or when the tokenizer +is stored at a different path on the benchmark host: + +```yaml +model_params: + name: "kimi-k3" # Name sent to the endpoint. + tokenizer_name: "moonshotai/Kimi-K3" # HF repo or benchmark-host path. +``` + +Kimi K3's custom Transformers tokenizer is supported even though Transformers +labels it as a slow tokenizer: its BPE core uses the optimized Rust `tiktoken` +backend. This framework capability does not by itself add Kimi K3 to an MLPerf +ruleset's list of official submission models. + +If token metrics are not needed, avoid tokenizer discovery and loading with: + +```yaml +model_params: + enable_token_metrics: false +``` + ## Environment Variables **In YAML files** — use `${VAR}` or `${VAR:-default}` syntax: diff --git a/docs/async_utils/services/metrics_aggregator/DESIGN.md b/docs/async_utils/services/metrics_aggregator/DESIGN.md index ae36eb41..429a32fb 100644 --- a/docs/async_utils/services/metrics_aggregator/DESIGN.md +++ b/docs/async_utils/services/metrics_aggregator/DESIGN.md @@ -51,16 +51,21 @@ counted in `pending`. `flush_remaining` never raises. ### Sharded batch encoding (`BatchTokenizer`) The drain fans the whole buffer out across worker **processes**, one pinned -per `CORES_PER_WORKER` (8) core block. Each worker runs the raw `tokenizers` -backend's `encode_batch_fast` (Rust, rayon); a single BPE rayon pool -saturates ~8 cores, so disjoint pinned blocks are how the whole machine is -used. Workers are spawn-context, warmed in parallel at construction (bounded -— a hung load is a startup error), and ignore SIGINT. +per `CORES_PER_WORKER` (8) core block. Hugging Face Fast tokenizers run the raw +`tokenizers` backend's `encode_batch_fast` (Rust, rayon). Custom Transformers +wrappers backed by `tiktoken.Encoding`, including Kimi K3, run their native +`encode` method through a length-counting adapter. Keeping the wrapper in the +path preserves its special-token and long-input handling; process sharding +provides parallelism when the wrapper has no batch API. A single BPE rayon pool +saturates ~8 cores, so disjoint pinned blocks are how the whole machine is used. +Workers are spawn-context, warmed in parallel at construction (bounded — a hung +load is a startup error), and ignore SIGINT. The shard pool has no knob: it auto-sizes to one shard per 8-core block of -the allowed CPU universe. There is no fallback — no fast Rust backend, or a -failed/over-budget warmup, is a startup error, because an in-process slow -path cannot keep up and would surface much later as an incomplete drain. +the allowed CPU universe. There is no fallback — no supported optimized +backend (Hugging Face Fast or `tiktoken`), or a failed/over-budget warmup, is a +startup error, because an in-process slow path cannot keep up and would surface +much later as an incomplete drain. Platforms without an affinity API (macOS) shard unpinned; each worker caps its rayon pool to the block size instead. @@ -71,7 +76,9 @@ SIGTERM-kills the aggregator child — which the aggregator's SIGTERM handler turns into a best-effort `INTERRUPTED` final snapshot. Chat-template items (tool calls) run on the in-process thread lane — -`apply_chat_template` is Python/Jinja; sharding buys nothing. +`apply_chat_template` is Python/Jinja; sharding buys nothing. They use the +tokenizer's native `tokenize=True` path so model-specific segment policies, +including Kimi K3's XTML special-token boundaries, are preserved. ### CPU affinity: tokenize is post-run diff --git a/examples/10_Agentic_Inference/README.md b/examples/10_Agentic_Inference/README.md index fc5014e3..f96b2f4e 100644 --- a/examples/10_Agentic_Inference/README.md +++ b/examples/10_Agentic_Inference/README.md @@ -68,7 +68,7 @@ sglang serve \ --mem-fraction-static 0.95 ``` -`--model-path` is the checkpoint loaded by the server. It can be a local path visible to the server container or a Hugging Face model ID, depending on your SGLang environment. `--served-model-name` is the OpenAI model name exposed to clients; set `model_params.name` in the YAML to the same value. +`--model-path` is the checkpoint loaded by the server. It can be a local path visible to the server container or a Hugging Face model ID, depending on your SGLang environment. `--served-model-name` is the OpenAI model name exposed to clients; set `model_params.name` in the YAML to the same value. If that served name is not also a loadable tokenizer on the benchmark host, set `model_params.tokenizer_name` to the tokenizer's Hugging Face repo or benchmark-host path so client-side ISL/OSL/TPOT metrics are collected. ## Client YAML diff --git a/examples/10_Agentic_Inference/kimi_agentic_benchmark.yaml b/examples/10_Agentic_Inference/kimi_agentic_benchmark.yaml index d7e64c6d..11a2b249 100644 --- a/examples/10_Agentic_Inference/kimi_agentic_benchmark.yaml +++ b/examples/10_Agentic_Inference/kimi_agentic_benchmark.yaml @@ -3,7 +3,11 @@ version: "1.0" type: "online" model_params: - name: "/model" + name: "kimi-k2.6" + # The served name above need not be a loadable tokenizer. Point this at the + # Kimi tokenizer's HF repo or a local path visible on the benchmark host so + # client-side ISL/OSL/TPOT metrics are collected. + tokenizer_name: "/path/to/Kimi-K2.6" temperature: 1.0 top_p: 0.95 max_new_tokens: 8192 diff --git a/src/inference_endpoint/commands/benchmark/accuracy.py b/src/inference_endpoint/commands/benchmark/accuracy.py index 71393207..3f03a630 100644 --- a/src/inference_endpoint/commands/benchmark/accuracy.py +++ b/src/inference_endpoint/commands/benchmark/accuracy.py @@ -189,7 +189,7 @@ def _load_osl_backend(has_accuracy: bool, tokenizer_name: str | None) -> Any | N """Load the reference tokenizer backend for accuracy OSL, or None to disable. Loaded only when a real accuracy dataset exists; a load failure or a tokenizer - with no fast (Rust) backend disables OSL rather than failing scoring. + with no supported optimized backend disables OSL rather than failing scoring. """ if not (has_accuracy and tokenizer_name is not None): return None @@ -202,15 +202,16 @@ def _load_osl_backend(has_accuracy: bool, tokenizer_name: str | None) -> Any | N e, ) return None - # A tokenizer with no fast (Rust) backend disables OSL rather than falling - # back to a slow Python-tokenizer count: the perf side - # (token_metrics._setup_shards) requires a fast backend too and raises without - # one, so OSL stays fast-only and consistent on both sides. Warn so the skip is - # visible instead of silently dropping the block. + # A tokenizer with no supported optimized backend disables OSL rather than + # falling back to a slow Python-tokenizer count: the perf side + # (token_metrics._setup_shards) has the same requirement and raises without + # one, so OSL stays consistent on both sides. Warn so the skip is visible + # instead of silently dropping the block. if osl_backend is None: logger.warning( - "Accuracy OSL disabled: tokenizer %r has no fast (Rust) backend " - "(token counting requires one, as on the perf side)", + "Accuracy OSL disabled: tokenizer %r has no supported optimized " + "backend (Hugging Face Fast or tiktoken; token counting requires " + "one, as on the perf side)", tokenizer_name, ) return osl_backend diff --git a/src/inference_endpoint/config/schema.py b/src/inference_endpoint/config/schema.py index ff7e4b22..e2cb8604 100644 --- a/src/inference_endpoint/config/schema.py +++ b/src/inference_endpoint/config/schema.py @@ -81,7 +81,9 @@ def _deep_merge(base: dict[str, Any], override: dict[str, Any]) -> dict[str, Any # (launched once from top-level model_params), so a per-dataset override would # desync ISL/OSL/TTFT/TPOT accounting without changing what is measured. Rejected # as generation_config_override keys — they are per-run/identity, not per-dataset. -_METRICS_DECOUPLED_OVERRIDE_KEYS = frozenset({"name", "streaming", "tokenizer_name"}) +_METRICS_DECOUPLED_OVERRIDE_KEYS = frozenset( + {"name", "streaming", "tokenizer_name", "enable_token_metrics"} +) def _non_default_completion_controls(mp: ModelParams) -> list[str]: @@ -481,9 +483,9 @@ class Dataset(BaseModel): # per-dataset max OSL or top_p, as seen in DS-V4), and dataset-scoping also # enables per-dataset dynamic OSL distributions. Only generation knobs are # overridable — per-run/identity fields (`_METRICS_DECOUPLED_OVERRIDE_KEYS`: - # name / streaming / tokenizer_name) drive the single global tokenizer and - # MetricsAggregator, so overriding them per-dataset would desync ISL/OSL/ - # TTFT/TPOT accounting; they are rejected at validation. + # name / streaming / tokenizer_name / enable_token_metrics) drive the single + # global tokenizer and MetricsAggregator, so overriding them per-dataset + # would desync ISL/OSL/TTFT/TPOT accounting; they are rejected at validation. # # TODO(post-mortem): split ModelParams into a per-run ModelIdentity and a # GenerationConfig, so the override surface is exactly the generation fields @@ -502,8 +504,8 @@ class Dataset(BaseModel): "output budgets in the same fleet, e.g. " "generation_config_override: {max_new_tokens: 32768, " "temperature: 0.0}. NOTE: per-run/identity keys (`name`, " - "`streaming`, `tokenizer_name`) are rejected here — set them on " - "top-level model_params." + "`streaming`, `tokenizer_name`, `enable_token_metrics`) are " + "rejected here — set them on top-level model_params." ), ) diff --git a/src/inference_endpoint/config/templates/concurrency_template_full.yaml b/src/inference_endpoint/config/templates/concurrency_template_full.yaml index 9a9c1238..a5e102aa 100644 --- a/src/inference_endpoint/config/templates/concurrency_template_full.yaml +++ b/src/inference_endpoint/config/templates/concurrency_template_full.yaml @@ -32,7 +32,7 @@ datasets: # Dataset configs generate_params: null # Dataset-specific parameters passed to the generate() method accuracy_config: null # Accuracy evaluation settings agentic_inference: null # Agentic inference conversation configuration - generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`) are rejected here — set them on top-level model_params. + generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`, `enable_token_metrics`) are rejected here — set them on top-level model_params. - name: accuracy type: accuracy # Dataset purpose: performance or accuracy | options: performance, accuracy path: '' # Dataset file path @@ -49,7 +49,7 @@ datasets: # Dataset configs extractor: boxed_math_extractor # Answer extractor (abcd_extractor, boxed_math_extractor, identity_extractor, python_code_extractor) num_repeats: 1 # Repeat dataset N times for evaluation agentic_inference: null # Agentic inference conversation configuration - generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`) are rejected here — set them on top-level model_params. + generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`, `enable_token_metrics`) are rejected here — set them on top-level model_params. settings: runtime: min_duration_ms: 600000 # Min duration (ms, or with suffix: 600s, 10m) diff --git a/src/inference_endpoint/config/templates/offline_template_full.yaml b/src/inference_endpoint/config/templates/offline_template_full.yaml index 64ad824b..1d4bbdc7 100644 --- a/src/inference_endpoint/config/templates/offline_template_full.yaml +++ b/src/inference_endpoint/config/templates/offline_template_full.yaml @@ -32,7 +32,7 @@ datasets: # Dataset configs generate_params: null # Dataset-specific parameters passed to the generate() method accuracy_config: null # Accuracy evaluation settings agentic_inference: null # Agentic inference conversation configuration - generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`) are rejected here — set them on top-level model_params. + generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`, `enable_token_metrics`) are rejected here — set them on top-level model_params. - name: accuracy type: accuracy # Dataset purpose: performance or accuracy | options: performance, accuracy path: '' # Dataset file path @@ -49,7 +49,7 @@ datasets: # Dataset configs extractor: boxed_math_extractor # Answer extractor (abcd_extractor, boxed_math_extractor, identity_extractor, python_code_extractor) num_repeats: 1 # Repeat dataset N times for evaluation agentic_inference: null # Agentic inference conversation configuration - generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`) are rejected here — set them on top-level model_params. + generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`, `enable_token_metrics`) are rejected here — set them on top-level model_params. settings: runtime: min_duration_ms: 600000 # Min duration (ms, or with suffix: 600s, 10m) diff --git a/src/inference_endpoint/config/templates/online_template_full.yaml b/src/inference_endpoint/config/templates/online_template_full.yaml index 33c567ba..bf3dbd65 100644 --- a/src/inference_endpoint/config/templates/online_template_full.yaml +++ b/src/inference_endpoint/config/templates/online_template_full.yaml @@ -32,7 +32,7 @@ datasets: # Dataset configs generate_params: null # Dataset-specific parameters passed to the generate() method accuracy_config: null # Accuracy evaluation settings agentic_inference: null # Agentic inference conversation configuration - generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`) are rejected here — set them on top-level model_params. + generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`, `enable_token_metrics`) are rejected here — set them on top-level model_params. - name: accuracy type: accuracy # Dataset purpose: performance or accuracy | options: performance, accuracy path: '' # Dataset file path @@ -49,7 +49,7 @@ datasets: # Dataset configs extractor: boxed_math_extractor # Answer extractor (abcd_extractor, boxed_math_extractor, identity_extractor, python_code_extractor) num_repeats: 1 # Repeat dataset N times for evaluation agentic_inference: null # Agentic inference conversation configuration - generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`) are rejected here — set them on top-level model_params. + generation_config_override: null # Per-dataset overrides for the top-level model_params (sparse — only the fields you want to override). Merged on top of BenchmarkConfig.model_params at dataset-load time. Useful for MLPerf-style runs where accuracy and performance use different output budgets in the same fleet, e.g. generation_config_override: {max_new_tokens: 32768, temperature: 0.0}. NOTE: per-run/identity keys (`name`, `streaming`, `tokenizer_name`, `enable_token_metrics`) are rejected here — set them on top-level model_params. settings: runtime: min_duration_ms: 600000 # Min duration (ms, or with suffix: 600s, 10m) diff --git a/tests/unit/commands/test_benchmark.py b/tests/unit/commands/test_benchmark.py index 07105db9..215e3878 100644 --- a/tests/unit/commands/test_benchmark.py +++ b/tests/unit/commands/test_benchmark.py @@ -3184,7 +3184,9 @@ def test_invalid_override_value_raises_at_construction(self, tmp_path): self._build_config(perf_path, acc_path, acc_override={"temperature": "hot"}) @pytest.mark.unit - @pytest.mark.parametrize("key", ["name", "streaming", "tokenizer_name"]) + @pytest.mark.parametrize( + "key", ["name", "streaming", "tokenizer_name", "enable_token_metrics"] + ) def test_metrics_decoupled_override_rejected_at_construction(self, tmp_path, key): """Per-run/identity keys are rejected end-to-end at BenchmarkConfig construction (not just on the Dataset submodel), so a per-dataset value diff --git a/tests/unit/commands/test_score_accuracy.py b/tests/unit/commands/test_score_accuracy.py index fd5e2328..3c55d017 100644 --- a/tests/unit/commands/test_score_accuracy.py +++ b/tests/unit/commands/test_score_accuracy.py @@ -451,9 +451,11 @@ def test_all_missing_still_publishes_response_counts(self, tmp_path, monkeypatch } assert "output_sequence_lengths" not in entry # nothing to tokenize - def test_no_fast_backend_disables_osl_keeps_counts(self, tmp_path, monkeypatch): - """A tokenizer with no fast backend (load_reference_backend -> None) skips - OSL but still publishes response_counts.""" + def test_no_optimized_backend_disables_osl_keeps_counts( + self, tmp_path, monkeypatch + ): + """A tokenizer with no supported optimized backend skips OSL but still + publishes response_counts.""" monkeypatch.setattr(scoring_mod, "load_reference_backend", lambda name: None) cfg = _cfg("aime25::gptoss", 2, 0.8, tmp_path, scorer=_FakeOSLScorer) entry = _by_name(score_accuracy(_ctx([cfg], tokenizer_name="fake"), _RESULT))[