diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 077e4a35..490ba27e 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -21,7 +21,7 @@ jobs: strategy: fail-fast: false matrix: - python-version: ["3.10", "3.11", "3.12", "3.13", "3.14"] + python-version: ["3.11", "3.12", "3.13", "3.14"] steps: - uses: actions/checkout@v4 diff --git a/examples/sglang/multiturn_generate_sglang.py b/examples/sglang/multiturn_generate_sglang.py index d214154c..3054bd96 100755 --- a/examples/sglang/multiturn_generate_sglang.py +++ b/examples/sglang/multiturn_generate_sglang.py @@ -1,6 +1,6 @@ #!/usr/bin/env -S uv run --script # /// script -# requires-python = ">=3.10,<3.14" +# requires-python = ">=3.11,<3.14" # dependencies = [ # "renderers>=0.1.6", # "sglang==0.5.10.post1", diff --git a/examples/sglang/online_multiturn_sglang.py b/examples/sglang/online_multiturn_sglang.py index db10a50e..5304611f 100644 --- a/examples/sglang/online_multiturn_sglang.py +++ b/examples/sglang/online_multiturn_sglang.py @@ -1,6 +1,6 @@ #!/usr/bin/env -S uv run --script # /// script -# requires-python = ">=3.10,<3.14" +# requires-python = ">=3.11,<3.14" # dependencies = [ # "renderers>=0.1.6", # "transformers>=5.3.0", diff --git a/examples/transformers/multiturn_generate_transformers.py b/examples/transformers/multiturn_generate_transformers.py index a9d1cbec..9e5e1f1e 100644 --- a/examples/transformers/multiturn_generate_transformers.py +++ b/examples/transformers/multiturn_generate_transformers.py @@ -1,6 +1,6 @@ #!/usr/bin/env -S uv run --script # /// script -# requires-python = ">=3.10,<3.14" +# requires-python = ">=3.11,<3.14" # dependencies = [ # "renderers>=0.1.6", # "transformers>=4.50.0", diff --git a/examples/vllm/multiturn_generate_vllm.py b/examples/vllm/multiturn_generate_vllm.py index 04a914f6..52fa0445 100755 --- a/examples/vllm/multiturn_generate_vllm.py +++ b/examples/vllm/multiturn_generate_vllm.py @@ -1,6 +1,6 @@ #!/usr/bin/env -S uv run --script # /// script -# requires-python = ">=3.10,<3.14" +# requires-python = ">=3.11,<3.14" # dependencies = [ # "renderers>=0.1.6", # "vllm>=0.20", diff --git a/pyproject.toml b/pyproject.toml index 36cb0bb0..7589fbcf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -13,7 +13,7 @@ description = "Chat template renderers — deterministic message-to-token conver readme = "README.md" license = "Apache-2.0" license-files = ["LICENSE"] -requires-python = ">=3.10,<3.15" +requires-python = ">=3.11,<3.15" dependencies = [ "numpy", "openai>=1.108.1", diff --git a/renderers/base.py b/renderers/base.py index 5702c698..0e024cfd 100644 --- a/renderers/base.py +++ b/renderers/base.py @@ -1,15 +1,14 @@ -from __future__ import annotations - -import enum import logging from collections.abc import Mapping from dataclasses import dataclass, field +from enum import StrEnum from typing import ( TYPE_CHECKING, Any, Callable, Literal, Protocol, + Required, TypedDict, cast, runtime_checkable, @@ -110,8 +109,8 @@ class Message(TypedDict, total=False): Optional keys mirror the OpenAI chat format for tool calling. """ - role: str - content: Content + role: Required[str] + content: Required[Content] tool_calls: list[ToolCall] tool_call_id: str name: str @@ -562,7 +561,7 @@ def content_mask_for_roles(self, roles: "set[str] | frozenset[str]") -> list[boo return mask -class ToolCallParseStatus(str, enum.Enum): +class ToolCallParseStatus(StrEnum): """Per-attempt outcome of parsing a single ```` block. The renderer parser's job is JSON-syntax → ``dict`` (the parser-level @@ -1310,15 +1309,19 @@ def load_tokenizer(model_name_or_path: str): the requested Meta ID so auto-resolution still selects ``Llama3Renderer``. Requires the ``renderers[transformers]`` extra. """ - _require_transformers("Loading a tokenizer") - load_name_or_path = _tokenizer_source_for(model_name_or_path) - kwargs = _tokenizer_load_kwargs(load_name_or_path) - tok = _load_tokenizer_via_auto(load_name_or_path, **kwargs) - return _preserve_requested_tokenizer_name( - tok, - requested_name_or_path=model_name_or_path, - loaded_name_or_path=load_name_or_path, - ) + try: + _require_transformers("Loading a tokenizer") + load_name_or_path = _tokenizer_source_for(model_name_or_path) + kwargs = _tokenizer_load_kwargs(load_name_or_path) + tok = _load_tokenizer_via_auto(load_name_or_path, **kwargs) + return _preserve_requested_tokenizer_name( + tok, + requested_name_or_path=model_name_or_path, + loaded_name_or_path=load_name_or_path, + ) + except Exception as exc: + exc.add_note(f"While loading tokenizer {model_name_or_path!r}.") + raise def _populate_registry(): @@ -1393,7 +1396,7 @@ def _populate_registry(): def create_renderer( tokenizer, - config: RendererConfig | None = None, + config: "RendererConfig | None" = None, *, chat_template_kwargs: Mapping[str, Any] | None = None, ) -> Renderer: @@ -1425,26 +1428,34 @@ def create_renderer( """ _populate_registry() - config = _resolve_renderer_config( - tokenizer, - config, - chat_template_kwargs=chat_template_kwargs, - ) - from renderers.configs import CustomRendererConfig - from renderers.custom import custom_renderer_config, load_custom_renderer - - if isinstance(config, CustomRendererConfig): - renderer_cls = load_custom_renderer(config.import_path) - return renderer_cls(tokenizer, custom_renderer_config(config)) - cls = RENDERER_REGISTRY.get(config.name) - if cls is None: - raise ValueError( - f"Unknown renderer {config.name!r}. Available: {', '.join(sorted(RENDERER_REGISTRY))}" + try: + config = _resolve_renderer_config( + tokenizer, + config, + chat_template_kwargs=chat_template_kwargs, + ) + from renderers.configs import CustomRendererConfig + from renderers.custom import custom_renderer_config, load_custom_renderer + + if isinstance(config, CustomRendererConfig): + renderer_cls = load_custom_renderer(config.import_path) + return renderer_cls(tokenizer, custom_renderer_config(config)) + cls = RENDERER_REGISTRY.get(config.name) + if cls is None: + raise ValueError( + f"Unknown renderer {config.name!r}. Available: {', '.join(sorted(RENDERER_REGISTRY))}" + ) + return cls(tokenizer, config) + except Exception as exc: + model_name = getattr(tokenizer, "name_or_path", "") + renderer_name = config.name if config is not None else "auto" + exc.add_note( + f"While creating renderer {renderer_name!r} for tokenizer {model_name!r}." ) - return cls(tokenizer, config) + raise -def template_field_names(config: RendererConfig) -> frozenset[str]: +def template_field_names(config: "RendererConfig") -> frozenset[str]: """Chat-template kwargs that ``config``'s renderer accepts, custom renderers included.""" from renderers.configs import CustomRendererConfig from renderers.custom import load_custom_renderer @@ -1457,9 +1468,9 @@ def template_field_names(config: RendererConfig) -> frozenset[str]: def merge_chat_template_kwargs( - config: RendererConfig, + config: "RendererConfig", chat_template_kwargs: Mapping[str, Any] | None, -) -> RendererConfig: +) -> "RendererConfig": """Return ``config`` with the template kwargs applied, validated against its allowlist.""" if not chat_template_kwargs: return config @@ -1504,10 +1515,10 @@ def merge_chat_template_kwargs( def _resolve_renderer_config( tokenizer, - config: RendererConfig | None, + config: "RendererConfig | None", *, chat_template_kwargs: Mapping[str, Any] | None = None, -) -> RendererConfig: +) -> "RendererConfig": """Resolve auto/default config and merge chat-template kwargs.""" from renderers.configs import AutoRendererConfig @@ -1526,10 +1537,10 @@ def _resolve_renderer_config( def _resolve_auto_config( tokenizer, - auto: AutoRendererConfig, + auto: "AutoRendererConfig", *, chat_template_kwargs: Mapping[str, Any] | None = None, -) -> RendererConfig: +) -> "RendererConfig": """Map ``AutoRendererConfig`` → concrete typed config via the tokenizer's ``name_or_path``. @@ -2117,8 +2128,8 @@ def introduces_user_query( def resolve_thinking_retention( config: Any, - implied: ResolvedThinkingRetention, -) -> ResolvedThinkingRetention: + implied: "ResolvedThinkingRetention", +) -> "ResolvedThinkingRetention": """Resolve the effective bridge policy for a renderer instance. ``config.thinking_retention is None`` means "derive from template knobs"; @@ -2132,7 +2143,7 @@ def resolve_thinking_retention( def should_rerender_for_thinking_retention( - thinking_retention: ResolvedThinkingRetention, + thinking_retention: "ResolvedThinkingRetention", new_messages: list[Message], *, is_user_query: Callable[[Message], bool] = _is_user_message, diff --git a/renderers/configs.py b/renderers/configs.py index 0ecb50c8..a6d22050 100644 --- a/renderers/configs.py +++ b/renderers/configs.py @@ -21,7 +21,7 @@ from __future__ import annotations -from typing import Annotated, ClassVar, Literal, Union +from typing import Annotated, ClassVar, Literal, Self, Union from pydantic import ConfigDict, Field, model_validator from pydantic_config import BaseConfig @@ -159,7 +159,7 @@ class DefaultRendererConfig(BaseRendererConfig): _allow_opaque_template_kwargs = True @model_validator(mode="after") - def _reject_legacy_preserve_flags(self): + def _reject_legacy_preserve_flags(self) -> Self: # ``extra="allow"`` would otherwise swallow the removed ``preserve_*`` # bools into ``model_extra`` and forward them to apply_chat_template, # silently dropping the user's intent (DefaultRenderer can't @@ -261,7 +261,7 @@ class Qwen36RendererConfig(BaseRendererConfig): _internal_fields = frozenset({"image_cache_max"}) @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "preserve_thinking", @@ -307,7 +307,7 @@ class Qwen38RendererConfig(BaseRendererConfig): _internal_fields = frozenset({"image_cache_max"}) @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "preserve_thinking", @@ -350,7 +350,7 @@ class Gemma4RendererConfig(BaseRendererConfig): _internal_fields = frozenset({"image_cache_max"}) @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "preserve_thinking", @@ -377,7 +377,7 @@ class GLM5RendererConfig(BaseRendererConfig): to ``"all"``.""" @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "clear_thinking", @@ -401,7 +401,7 @@ class GLM51RendererConfig(BaseRendererConfig): """See :class:`GLM5RendererConfig.clear_thinking`.""" @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "clear_thinking", @@ -424,7 +424,7 @@ class GLM53RendererConfig(BaseRendererConfig): """Reasoning-effort system preamble emitted by the canonical template.""" @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "clear_thinking", @@ -506,7 +506,7 @@ class Hy3RendererConfig(BaseRendererConfig): and suppresses the generation prompt (``add_generation_prompt=False``).""" @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: if self.preserved_thinking is not None and self.thinking_retention is not None: implied = "all" if self.preserved_thinking else "tool_cycle" if self.thinking_retention != implied: @@ -566,7 +566,7 @@ class InklingRendererConfig(BaseRendererConfig): _internal_fields = frozenset({"image_cache_max", "audio_cache_max"}) @model_validator(mode="after") - def _check_reasoning_effort(self): + def _check_reasoning_effort(self) -> Self: eff = self.reasoning_effort if isinstance(eff, str): if eff.strip() not in INKLING_EFFORT_MAP: @@ -631,7 +631,7 @@ class GptOssRendererConfig(BaseRendererConfig): ) @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "auto_drop_analysis", @@ -836,7 +836,7 @@ class Nemotron3RendererConfig(BaseRendererConfig): policy to ``"all"``.""" @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "truncate_history_thinking", @@ -877,7 +877,7 @@ class Nemotron3UltraRendererConfig(BaseRendererConfig): """See :class:`Nemotron3RendererConfig.truncate_history_thinking`.""" @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "truncate_history_thinking", @@ -913,7 +913,7 @@ class Nemotron35RendererConfig(BaseRendererConfig): """See :class:`Nemotron3RendererConfig.truncate_history_thinking`.""" @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "truncate_history_thinking", @@ -984,7 +984,7 @@ class DeepSeekV4RendererConfig(BaseRendererConfig): """ @model_validator(mode="after") - def _check_thinking_retention(self): + def _check_thinking_retention(self) -> Self: _reject_thinking_retention_conflict( self, "drop_thinking", @@ -1019,7 +1019,7 @@ class CustomRendererConfig(BaseRendererConfig): _internal_fields = frozenset({"import_path"}) @model_validator(mode="after") - def _validate_renderer_fields(self): + def _validate_renderer_fields(self) -> Self: # Fail at config load, not at the first render: the import path must # resolve and the renderer's config must accept the other fields. from renderers.custom import custom_renderer_config diff --git a/tests/test_parsers.py b/tests/test_parsers.py index d346305e..a81a5eb3 100644 --- a/tests/test_parsers.py +++ b/tests/test_parsers.py @@ -2,6 +2,8 @@ from __future__ import annotations +import json + import pytest from renderers.base import ToolCallParseStatus, load_tokenizer @@ -160,3 +162,11 @@ def test_default_renderer_without_parsers_is_backward_compatible(): def test_think_parser_requires_initial_opener(text): parser = get_reasoning_parser("think", None) assert parser.extract(text) == (None, text) + + +def test_parse_status_uses_wire_value_as_string(): + for status in ToolCallParseStatus: + assert str(status) == status.value + assert f"{status}" == status.value + assert json.loads(json.dumps({"status": status})) == {"status": status.value} + assert ToolCallParseStatus(status.value) is status diff --git a/tests/test_renderer_config.py b/tests/test_renderer_config.py index cb7caae4..95c58896 100644 --- a/tests/test_renderer_config.py +++ b/tests/test_renderer_config.py @@ -349,3 +349,9 @@ def test_default_renderer_config_rejects_legacy_preserve_flags(): cfg = DefaultRendererConfig(some_jinja_kwarg=True) assert cfg.model_extra["some_jinja_kwarg"] is True + + +def test_message_required_keys(): + assert base.Message.__required_keys__ == {"role", "content"} + assert "tool_calls" in base.Message.__optional_keys__ + assert "reasoning_content" in base.Message.__optional_keys__ diff --git a/uv.lock b/uv.lock index d3366382..9c3ccf2d 100644 --- a/uv.lock +++ b/uv.lock @@ -1,10 +1,6 @@ version = 1 revision = 3 -requires-python = ">=3.10, <3.15" -resolution-markers = [ - 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