agentskillinsight_mapper
September 8, 2026 · View on GitHub
Summarize agent_tool_types and agent_skill_types into insights via LLM.
Reads meta[agent_tool_types] and meta[agent_skill_types] (from
agent_dialog_normalize_mapper), calls the API for 3–5 concrete
capability phrases (about 10 Chinese characters or ~4–8 English words
each; avoid vague 'read/write / processing'), and stores them in
meta[agent_skill_insights]. Run after normalize. Override
system_prompt for locale-specific label style.
通过 LLM 将 agent_tool_types 和 agent_skill_types 总结为洞察。
读取 meta[agent_tool_types] 和 meta[agent_skill_types]（来自
agent_dialog_normalize_mapper），调用 API 生成 3-5 个具体的
能力短语（每个约 10 个汉字或 4-8 个英文单词；避免使用模糊的“读/写/处理”），并将其存储在
meta[agent_skill_insights] 中。在 normalize 之后运行。覆盖
system_prompt 以使用特定区域的标签样式。
Type 算子类型: mapper
Tags 标签: cpu, api
🔧 Parameter Configuration 参数配置
| name 参数名 | type 类型 | default 默认值 | desc 说明 |
|---|---|---|---|
api_model | <class 'str'> | 'gpt-4o' | |
tool_types_key | <class 'str'> | 'agent_tool_types' | |
skill_types_key | <class 'str'> | 'agent_skill_types' | |
insights_key | <class 'str'> | 'agent_skill_insights' | |
api_endpoint | typing.Optional[str] | None | |
response_path | typing.Optional[str] | None | |
system_prompt | typing.Optional[str] | None | |
try_num | typing.Annotated[int, Gt(gt=0)] | 2 | |
model_params | typing.Dict | {} | |
sampling_params | typing.Dict | {} | |
preferred_output_lang | <class 'str'> | 'en' | |
kwargs | `` |