feat(language): tool catalog in meta/info.json + LeRobotDatasetMetadata.tools

Stores OpenAI-style function schemas at ``meta/info.json["tools"]`` so
datasets can declare which tools are available (today: just ``say``;
tomorrow: per-dataset extensions). The ``DEFAULT_TOOLS`` constant
fills in for unannotated datasets so chat-template consumers don't
have to special-case anything.

Three pieces:

- ``language.py``: ``SAY_TOOL_SCHEMA`` and ``DEFAULT_TOOLS``
  constants. Single source of truth — PR 2's writer and PR 3's
  runtime tool registry will both import from here instead of
  duplicating the dict.
- ``dataset_metadata.py``: ``LeRobotDatasetMetadata.tools`` property
  reads ``info.json["tools"]`` and falls back to ``DEFAULT_TOOLS``.
  Returns deep-copied dicts so callers can mutate the result safely.
- ``docs/source/tools.mdx``: spec page covering the catalog, per-row
  invocations, and the three-step "how to add a new tool" workflow
  (declare schema, implement, register). Linked from the docs
  toctree under the Datasets section.

This lays the groundwork for PR 2's pipeline writing the catalog out
during annotation, and PR 3's ``src/lerobot/tools/`` package shipping
runnable implementations (one file per tool — first up:
``say.py`` wrapping Kyutai's pocket-tts).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Pepijn
2026-04-30 18:44:58 +02:00
parent c1a0c601e2
commit e3e9374e2c
4 changed files with 259 additions and 0 deletions
+22
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@@ -318,6 +318,28 @@ class LeRobotDatasetMetadata:
"""Keys to access visual modalities (regardless of their storage method)."""
return [key for key, ft in self.features.items() if ft["dtype"] in ["video", "image"]]
@property
def tools(self) -> list[dict]:
"""OpenAI-style tool schemas declared by this dataset.
Read from ``meta/info.json["tools"]``. Returns a copy, so callers
can mutate the result safely. Falls back to
:data:`lerobot.datasets.language.DEFAULT_TOOLS` (the canonical
``say`` schema) when the dataset doesn't declare any — that way
unannotated datasets and chat-template consumers
(``apply_chat_template(messages, tools=meta.tools)``) keep
working out of the box.
Implementations live under :mod:`lerobot.tools` (one file per
tool); see ``docs/source/tools.mdx`` for the authoring guide.
"""
from .language import DEFAULT_TOOLS # noqa: PLC0415 (avoid circular import)
declared = self.info.get("tools")
if isinstance(declared, list) and declared:
return [dict(t) for t in declared]
return [dict(t) for t in DEFAULT_TOOLS]
@property
def names(self) -> dict[str, list | dict]:
"""Names of the various dimensions of vector modalities."""
+37
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@@ -183,6 +183,43 @@ def validate_camera_field(style: str | None, camera: str | None) -> None:
)
# --- Tool registry --------------------------------------------------------
# Tools declared on a dataset live in ``meta/info.json["tools"]`` as a list
# of OpenAI-style function schemas. The runtime / training stack reads them
# through :class:`LeRobotDatasetMetadata.tools` (with these constants as
# fallback when the dataset doesn't declare any). Implementations live
# under :mod:`lerobot.tools` (one file per tool); see
# ``docs/source/tools.mdx`` for the authoring guide.
SAY_TOOL_SCHEMA: dict = {
"type": "function",
"function": {
"name": "say",
"description": "Speak a short utterance to the user via the TTS executor.",
"parameters": {
"type": "object",
"properties": {
"text": {
"type": "string",
"description": "The verbatim text to speak.",
}
},
"required": ["text"],
},
},
}
"""Canonical schema for the ``say`` tool emitted by the steerable
annotation pipeline (PR 2 Module 2). Single source of truth PR 2's
writer, PR 3's runtime tool registry, and the dataset visualizer all
import this constant rather than duplicating the dict."""
DEFAULT_TOOLS: list[dict] = [SAY_TOOL_SCHEMA]
"""Fallback tools list. Returned by ``LeRobotDatasetMetadata.tools``
when ``meta/info.json["tools"]`` is unset, so unannotated datasets and
chat-template consumers (``apply_chat_template(messages, tools=...)``)
keep working out of the box."""
def column_for_style(style: str | None) -> LanguageColumn:
"""Map a language style to the column where rows of that style are stored.