OpenClaw · Skill

Aiml LLM Reasoning

Use run_chat.py to call AIMLAPI chat completions with retries, optional API key file fallback, and a User-Agent header on every request.

Productivity & Tasks

v1.0.1

VirusTotal: Suspicious

Install

Start with the primary install command. Alternate entrypoints are included below for ClawHub and OpenClaw CLI users.

Primary command

clawhub install aimlapihello/aiml-llm-reasoning

ClawHub installer

npx clawhub@latest install aimlapihello/aiml-llm-reasoning

OpenClaw CLI

openclaw skills install aimlapihello/aiml-llm-reasoning

Direct OpenClaw install

openclaw install aimlapihello/aiml-llm-reasoning

View source

What this skill does

Use run_chat.py to call AIMLAPI chat completions with retries, optional API key file fallback, and a User-Agent header on every request.

Why it matters

Built-in retry logic and API key file fallback reduce boilerplate compared to writing raw AIMLAPI requests by hand.

Typical use cases

Draft a project checklist from a plain-text prompt
Generate a structured JSON risk list for a project
Plan a feature rollout with step-by-step reasoning
Summarize a long document into bullet points
Script batch prompting runs against AIMLAPI models

Source instructions

AIMLAPI LLM + Reasoning

Overview

Use run_chat.py to call AIMLAPI chat completions with retries, optional API key file fallback, and a User-Agent header on every request.

Quick start

export AIMLAPI_API_KEY="sk-aimlapi-..."
python3 {baseDir}/scripts/run_chat.py --model aimlapi/openai/gpt-5-nano-2025-08-07 --user "Summarize this in 3 bullets."

Tasks

Run a basic chat completion

python3 {baseDir}/scripts/run_chat.py \
  --model aimlapi/openai/gpt-5-nano-2025-08-07 \
  --system "You are a concise assistant." \
  --user "Draft a project kickoff checklist." \
  --user-agent "openclaw-custom/1.0"

Add reasoning parameters

python3 {baseDir}/scripts/run_chat.py \
  --model aimlapi/openai/gpt-5-nano-2025-08-07 \
  --user "Plan a 5-step rollout for a new chatbot feature." \
  --extra-json '{"reasoning": {"effort": "medium"}, "temperature": 0.3}'

Structured JSON output

python3 {baseDir}/scripts/run_chat.py \
  --model aimlapi/openai/gpt-5-nano-2025-08-07 \
  --user "Return a JSON array of 3 project risks with mitigation." \
  --extra-json '{"response_format": {"type": "json_object"}}' \
  --output ./out/risks.json

References

references/aimlapi-llm.md: payload and troubleshooting notes.
README.md: changelog-style summary of new instructions.

Related OpenClaw skills

Browse all →

OpenClaw Skill