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Add tool support for RULER evaluation #542

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Merged
angkywilliam merged 1 commit into from
Jan 30, 2026
Merged

Add tool support for RULER evaluation #542

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13 changes: 13 additions & 0 deletions src/art/rewards/ruler.py
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Original file line number Diff line number Diff line change
Expand Up @@ -55,6 +55,7 @@ async def ruler(
judge_model: str = "openai/o3",
extra_litellm_params: dict | None = None,
rubric: str = DEFAULT_RUBRIC,
tools: list | None = None,
*,
debug: bool = False,
) -> list[TrajectoryScore]:
Expand All @@ -81,6 +82,8 @@ async def ruler(
extra_litellm_params: Additional parameters to pass to LiteLLM completion.
Can include temperature, max_tokens, etc.
rubric: The grading rubric. The default rubric works well for most tasks.
tools: Optional list of tool definitions available to the agent. When provided,
the judge will see which tools were available when evaluating tool usage.
debug: If True, pretty-print the judge's reasoning to help understand scores.

Returns:
Expand Down Expand Up @@ -137,6 +140,12 @@ async def ruler(
"<context>\n" + json.dumps(common_prefix_messages) + "\n</context>\n\n"
)

# Include available tools so the judge knows which tool calls are valid
if tools:
user_text += (
"<available_tools>\n" + json.dumps(tools) + "\n</available_tools>\n\n"
)

# Serialize each trajectory (minus the common prefix) for the judge.
# If all trajectories are identical, only serialize one full trajectory to save tokens.
serialized_trajectories: List[str] = []
Expand Down Expand Up @@ -292,13 +301,17 @@ async def ruler_score_group(
message_lists.append(traj.messages())
traj.metrics["independent_reward"] = traj.reward

# Extract tools from first trajectory (they should all be the same)
tools = new_trajectories[0].tools if new_trajectories else None

try:
# Call the core ruler function to get scores
scores = await ruler(
message_lists,
judge_model=judge_model,
extra_litellm_params=extra_litellm_params,
rubric=rubric,
tools=tools,
debug=debug,
)
except Exception as e:
Expand Down