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Wolfram Alpha (LLM API)

封装 Python 脚本调用 Wolfram|Alpha LLM API，支持数值计算、单位换算、符号代数与方程求解、统计、日期时间与金融计算及结构化事实查询；可设置返回字符上限、单位制、假设及本地化参数，默认启用本地缓存并以 Bearer 方式传递 AppID。

firefrog-pepe
firefrog-pepe
热度 54.90
最近更新 2026-05-11 17:33:05
分类：知识依赖：代码执行 / 第三方 API / 读写文件应用场景：研究 / 概念解释 / 教学辅导 / 数据处理

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add wolfram-alpha-llm
Metadata
name
wolfram-alpha-llm
description
Delegate precise, formalizable computations and factual lookups to Wolfram|Alpha via its LLM API (HTTP) to get verified results and reduce arithmetic/modeling errors. Use for numeric calculations, unit conversions, symbolic algebra/calculus, equation solving, statistics/probability, date/time math, finance/math with currency, and structured data queries (e.g., population, chemistry/physics constants, astronomy facts). Use when you want short, LLM-friendly text output (optionally within a character budget), need to resolve ambiguous interpretations via assumptions, or want location/units/language-specific results.
metadata
{"openclaw":{"emoji":"📐","requires":{"bins":["python3"],"env":["WOLFRAM_APP_ID"]}}}

Wolfram|Alpha (LLM API) skill

Use the bundled wrapper script to call Wolfram|Alpha's LLM API and return concise, model-ingestible results.

Preconditions

  • Environment variable WOLFRAM_APP_ID must be set (your Wolfram|Alpha AppID). If it is not set, ask your human to set it (do not guess or hardcode keys).

Quick start

Run:

# default: cache ON (7d), auth via bearer header (keeps AppID out of URL)
python3 skills/wolfram-alpha-llm/scripts/wa_llm.py \
  --input "solve x^2 + 3x + 2 = 0"

What to send as --input

  • Prefer short English keyword-style queries when possible.
  • If the user asked in another language, translate to English for the API call, then answer in the user’s original language.
  • When you need an exact computation, be explicit (e.g., integrate sin(x)^2 from 0 to pi).

Core parameters (use these most)

  • --input (required): the query.
  • --maxchars (optional, default 2500): cap response length.
  • --units (optional): set units system, if needed for conversions/physics (metric is often a good default when unspecified).
  • --assumption (optional, repeatable): disambiguate when WA returns irrelevant interpretation or offers assumptions.

High-value optional parameters (use when relevant)

  • Localization / context:
    • --countrycode, --languagecode
    • --timezone
    • One of: --ip | --latlong | --location (pick exactly one)
  • Finance:
    • --currency (e.g., USD, EUR)
  • Performance / robustness:
    • --scantimeout, --parsetimeout, --formattimeout, --totaltimeout

Output handling guidance

  • Treat output as computed evidence: quote the key result, then add minimal interpretation.
  • If the result is too long/noisy, rerun with a smaller --maxchars.
    • Heuristic: for simple conversions / arithmetic / single-value answers, try --maxchars 800.
    • Keep default --maxchars 2500 for most multi-line or explanation-heavy results.
  • If the interpretation is wrong:
    1. retry with --assumption ... (use WA-provided suggestions when available),
    2. only then rephrase/simplify --input.

Wrapper script

  • Script: skills/wolfram-alpha-llm/scripts/wa_llm.py
  • Auth:
    • default --auth bearer: sends Authorization: Bearer <AppID> header (keeps AppID out of the URL)
    • --auth query: sends appid as URL parameter
  • Cache:
    • default --cache on with --cache-ttl 604800 (7d)
    • stores best-effort results in: ~/.cache/openclaw-wolfram-alpha/
  • Returns:
    • stdout: API text body
    • stderr: errors, HTTP status context

For parameter details and error behaviors, see:

  • skills/wolfram-alpha-llm/references/llm-api.md
  • skills/wolfram-alpha-llm/references/full-api-params.md