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AI/ML API LLM + Reasoning for OpenClaw

Run AIMLAPI LLM and reasoning workflows through chat completions with retries, structured outputs, and explicit User-Agent headers. Use when Codex needs scripted prompting/reasoning calls against AIMLAPI models.

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: _meta.json, README.md, SKILL.md, scripts/run_chat.py, references/aimlapi-llm.md

Validation

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Confirm the extracted package contains the expected setup assets.

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Agent handoff

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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: aimlapihello
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

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."

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.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

3 Docs1 Scripts1 Config

SKILL.md Primary doc
README.md Docs
references/aimlapi-llm.md Docs
scripts/run_chat.py Scripts
_meta.json Config