data_juicer.ops.mapper.agent_tool_relevance_mapper module#

LLM: tool/capability fit vs user task (1–5).

Inspired by OpenJudge tool-selection; DJ: meta tags or text-only, no schema.

Reference: https://agentscope-ai.github.io/OpenJudge/built_in_graders/agent_graders/ #toolselectiongrader

class data_juicer.ops.mapper.agent_tool_relevance_mapper.AgentToolRelevanceMapper(*args, **kwargs)[source]#

Bases: _DialogQualityLLMMapperBase

Rough fit between tools/capabilities and the user task (uses meta tool tags).

OP_NAME = 'agent_tool_relevance_mapper'#
META_KEY = 'agent_tool_relevance'#
EVAL_KIND = 'agent_tool'#