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@Superjomn Superjomn commented Aug 14, 2025

Summary by CodeRabbit

  • New Features

    • Exposed LlmArgs as a public export for simpler imports.
  • Documentation

    • Generated API docstrings now include status tags on parameters (e.g., :tag:beta) to clarify parameter stability.
  • Tests

    • Added tests verifying status tags appear in generated docstrings for LlmArgs.

Description

Currently, the LLM class has no API status tag. And the status tags only exist in LlmArgs's field API references, e.g., TorchLlmArgs.

This PR adds the status tags to LLM class's docstring:
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@Superjomn Superjomn requested review from a team as code owners August 14, 2025 08:08
@Superjomn Superjomn requested review from QiJune, kaiyux and syuoni August 14, 2025 08:08
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coderabbitai bot commented Aug 14, 2025

📝 Walkthrough

Walkthrough

Adds injection of :tag:<status> into generated API docstrings for Pydantic fields when a field has a status, renames two ApiParamTagger methods to private (_process_pydantic_model, _amend_pydantic_field_description_with_tags) and updates call to delegate to the private method, and adds a test exposing LlmArgs and verifying the beta tag in generated docstring.

Changes

Cohort / File(s) Summary
LLM API utils update
tensorrt_llm/llmapi/utils.py
generate_api_docs_as_docstring now appends :tag:\`to argument lines when a field has a status. ApiParamTagger internals renamed:process_pydantic_model_process_pydantic_model, amend_pydantic_field_description_with_tags_amend_pydantic_field_description_with_tags; call` delegates to the private method.
Unit tests adjustment
tests/unittest/llmapi/test_utils.py
Exposes LlmArgs from tensorrt_llm.llmapi; adds test_generate_api_docs_as_docstring asserting the generated docstring contains a beta tag; existing test_api_status_registry remains unchanged.

Sequence Diagram(s)

sequenceDiagram
  participant Test
  participant Utils as generate_api_docs_as_docstring
  participant Tagger as ApiParamTagger
  participant Model as PydanticModel (LlmArgs)

  Test->>Utils: generate_api_docs_as_docstring(Model)
  Utils->>Tagger: Tagger(Model) / __call__
  Tagger->>Tagger: _process_pydantic_model(Model)
  loop per field
    Tagger->>Model: read json_schema_extra.status
    alt status present
      Tagger->>Tagger: _amend_pydantic_field_description_with_tags(field, tag)
    end
  end
  Tagger-->>Utils: modified model/descriptions
  Utils-->>Test: docstring with :tag:`<status>` entries
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Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

Possibly related PRs

Suggested labels

Documentation

Suggested reviewers

  • QiJune
  • FrankD412
  • hchings
  • syuoni

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Actionable comments posted: 2

🔭 Outside diff range comments (1)
tensorrt_llm/llmapi/utils.py (1)

581-586: Make tag injection idempotent and handle None descriptions

Currently, this will prepend ":tag:{tag} None" when the description is None, and re-running it will stack tags. Normalize the description and avoid re-tagging if a tag is already present.

Apply this diff:

-        for field_name in field_names:
-            field = cls.model_fields[field_name]
-            cls.model_fields[
-                field_name].description = f":tag:`{tag}` {field.description}"
-        cls.model_rebuild(force=True)
+        for field_name in field_names:
+            field = cls.model_fields[field_name]
+            # Avoid double-tagging and handle None descriptions
+            desc = (field.description or "").strip()
+            if not desc.startswith(":tag:`"):
+                desc = f":tag:`{tag}` {desc}".strip()
+            cls.model_fields[field_name].description = desc
+        cls.model_rebuild(force=True)
🧹 Nitpick comments (2)
tensorrt_llm/llmapi/utils.py (1)

562-565: Fix D200: one-line docstring should fit on one line

Ruff indicates D200 for this docstring. Collapse it to a single line.

Apply this diff:

-    def _process_pydantic_model(self, cls: Type[BaseModel]) -> None:
-        """Process the Pydantic model to add tags to the fields.
-        """
+    def _process_pydantic_model(self, cls: Type[BaseModel]) -> None:
+        """Process the Pydantic model to add tags to the fields."""
tests/unittest/llmapi/test_utils.py (1)

31-35: Remove noisy print from test; keep the assertion

Printing the generated doc in tests creates noisy output and can hide failures in CI logs. The assertion is sufficient.

Apply this diff:

 def test_generate_api_docs_as_docstring():
     doc = generate_api_docs_as_docstring(LlmArgs)
     assert ":tag:`beta`" in doc, "the label is not generated"
-    print(doc)
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560-561: One-line docstring should fit on one line

Reformat to one line

(D200)

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🔇 Additional comments (2)
tensorrt_llm/llmapi/utils.py (1)

559-561: Good entry point and structure

Making call delegate to a single processing method keeps the API clean and testable. No issues here.

tests/unittest/llmapi/test_utils.py (1)

1-3: Imports look correct

Imports align with the new public surface (LlmArgs from tensorrt_llm.llmapi) and direct utility import for doc generation. No issues.

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@Superjomn Superjomn enabled auto-merge (squash) August 14, 2025 10:03
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PR_Github #15285 [ run ] completed with state SUCCESS
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@Superjomn Superjomn force-pushed the add-label-to-LLM-class branch from ca2a3ac to 8389f06 Compare August 14, 2025 15:27
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Actionable comments posted: 0

♻️ Duplicate comments (2)
tensorrt_llm/llmapi/utils.py (2)

518-521: Avoid duplicate status tags and drop walrus for 3.8 clarity

If ApiParamTagger already prepends a tag in the field description, this will double-tag the arg line. Also prefer explicit assignment over walrus here for readability and consistency.

-        if status := field_info.get("status", None):
-            arg_line += f":tag:`{status}` "
+        status = field_info.get("status")
+        if status and not (field_description or "").lstrip().startswith(":tag:`"):
+            arg_line += f":tag:`{status}` "

571-573: Python 3.8 compatibility: use List[str] instead of list[str]

list[str] requires Python 3.9+. Switch to typing.List[str]. List is already imported.

-    def _amend_pydantic_field_description_with_tags(self, cls: Type[BaseModel],
-                                                    field_names: list[str],
-                                                    tag: str) -> None:
+    def _amend_pydantic_field_description_with_tags(self, cls: Type[BaseModel],
+                                                    field_names: List[str],
+                                                    tag: str) -> None:

Additionally, to prevent "None" showing up in descriptions and to avoid double-tagging when this method is called repeatedly, update the assignment inside this method (outside the selected range) as follows:

# Inside _amend_pydantic_field_description_with_tags(...)
desc = (field.description or "").lstrip()
if not desc.startswith(":tag:`"):
    desc = f":tag:`{tag}` {desc}".strip()
cls.model_fields[field_name].description = desc or f":tag:`{tag}`"
🧹 Nitpick comments (1)
tensorrt_llm/llmapi/utils.py (1)

559-559: Fix one-line docstring style (Ruff D200)

Remove the leading space and tighten wording.

-        """ The main entry point to tag the api doc. """
+        """Main entry point to tag the API doc."""
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Constants use UPPER_SNAKE_CASE in Python
Avoid shadowing variables from outer scopes in Python
Initialize all externally visible members of a Python class in init
Prefer docstrings for interfaces used outside a file; comments for local code
Use Google-style docstrings for classes and functions (Sphinx-parsable)
Document attributes/variables inline with short docstrings
Avoid reflection when simple alternatives exist (e.g., prefer explicit parameters over dict(**locals()))
In try/except, catch the narrowest exceptions possible
For duck-typing with try/except, keep try body minimal and put logic in else

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560-561: One-line docstring should fit on one line

Reformat to one line

(D200)

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🔇 Additional comments (1)
tensorrt_llm/llmapi/utils.py (1)

562-570: Privatization and call-site update LGTM

Renaming the processing method to a private variant and updating the call site improves encapsulation without changing behavior.

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Actionable comments posted: 0

🔭 Outside diff range comments (1)
tensorrt_llm/llmapi/utils.py (1)

571-580: Python 3.8 compatibility: use List[str] and tidy docstring (D205)

list[str] requires Python 3.9+. Our target is 3.8+, so use typing.List[str]. Also add a blank line between summary and description.

Apply this diff:

-    def _amend_pydantic_field_description_with_tags(self, cls: Type[BaseModel],
-                                                    field_names: list[str],
-                                                    tag: str) -> None:
-        """Amend the description of the fields with tags.
-        e.g. :tag:`beta` or :tag:`prototype`
+    def _amend_pydantic_field_description_with_tags(self, cls: Type[BaseModel],
+                                                    field_names: List[str],
+                                                    tag: str) -> None:
+        """Amend the description of the fields with tags.
+
+        e.g. :tag:`beta` or :tag:`prototype`
♻️ Duplicate comments (1)
tensorrt_llm/llmapi/utils.py (1)

518-521: Guard against double-tagging and avoid the walrus for clarity

If ApiParamTagger already prepends a tag in the field description, this will add a second tag. Also, per our style, prefer a simple assignment over the walrus here.

Apply this diff:

-        if status := field_info.get("status", None):
-            arg_line += f":tag:`{status}` "
+        status = field_info.get("status")
+        if status and not (field_description or "").lstrip().startswith(":tag:`"):
+            arg_line += f":tag:`{status}` "
🧹 Nitpick comments (2)
tensorrt_llm/llmapi/utils.py (2)

559-561: Fix one-line docstring style (D200)

The one-line docstring should fit on a single line without extra leading/trailing spaces.

Apply this diff:

-        """ The main entry point to tag the api doc. """
+        """The main entry point to tag the API doc."""

585-586: Make tag amendment idempotent and handle None descriptions

If description is None, this will render "None" in docs. Also, calling this twice will duplicate tags. Make it robust and idempotent.

Apply this diff:

-            cls.model_fields[
-                field_name].description = f":tag:`{tag}` {field.description}"
+            old_desc = field.description or ""
+            # Avoid double-tagging if a tag already exists
+            if old_desc.lstrip().startswith(":tag:`"):
+                new_desc = old_desc
+            else:
+                new_desc = f":tag:`{tag}` {old_desc}".strip()
+            cls.model_fields[field_name].description = new_desc
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Python file names use snake_case
Python class names use PascalCase
Python functions/methods and local variables use snake_case; variables starting with a number get k_ prefix (e.g., k_99th_percentile)
Global variables use G_ prefixed UPPER_SNAKE_CASE (e.g., G_MY_GLOBAL)
Constants use UPPER_SNAKE_CASE in Python
Avoid shadowing variables from outer scopes in Python
Initialize all externally visible members of a Python class in init
Prefer docstrings for interfaces used outside a file; comments for local code
Use Google-style docstrings for classes and functions (Sphinx-parsable)
Document attributes/variables inline with short docstrings
Avoid reflection when simple alternatives exist (e.g., prefer explicit parameters over dict(**locals()))
In try/except, catch the narrowest exceptions possible
For duck-typing with try/except, keep try body minimal and put logic in else

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🔇 Additional comments (1)
tensorrt_llm/llmapi/utils.py (1)

562-570: Approve rename: no external callers detected

Ran ripgrep across the codebase and found no occurrences of process_pydantic_model( or amend_pydantic_field_description_with_tags(. The private‐method refactor is safe to merge.

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PR_Github #15577 [ run ] completed with state SUCCESS
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/bot run

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PR_Github #15682 [ run ] completed with state SUCCESS
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Signed-off-by: Superjomn <[email protected]>
@Superjomn Superjomn force-pushed the add-label-to-LLM-class branch from 2927f81 to 0f06d51 Compare August 19, 2025 14:08
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@Superjomn Superjomn merged commit fae43e7 into NVIDIA:release/1.0 Aug 20, 2025
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yuanjingx87 pushed a commit that referenced this pull request Aug 20, 2025
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4 participants