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aimlapi-llm-reasoning

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.

aimlapihello0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install aimlapihello/aiml-llm-reasoning

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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.

来源信息

Source
github
Repository
openclaw/skills
Path
skills/aimlapihello/aiml-llm-reasoning
Version
—
Commit
38836b51c0c4d2573f18da40847e8d54167de2c4
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

README

aimlapi-llm-reasoning

This skill provides a helper script for AIMLAPI chat + reasoning workflows.

Security & Credentials

  • This skill requires an AIMLAPI_API_KEY environment variable.
  • Be cautious when using the --apikey-file flag; ensure the provided path is correct and secure.
  • Avoid including sensitive or private data in --extra-json, as this payload is sent to the remote API.

New instructions

  • Every HTTP request sends a User-Agent header (configurable via --user-agent).
  • run_chat.py supports retries, API key from --apikey-file, and verbose logs.
  • Use --extra-json for reasoning/tooling/provider-specific fields.

See SKILL.md for examples.

来源内容

SKILL.md
# 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

```bash
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

```bash
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

```bash
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

```bash
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.
README
# aimlapi-llm-reasoning

This skill provides a helper script for AIMLAPI chat + reasoning workflows.

## Security & Credentials

- This skill requires an `AIMLAPI_API_KEY` environment variable.
- Be cautious when using the `--apikey-file` flag; ensure the provided path is correct and secure.
- Avoid including sensitive or private data in `--extra-json`, as this payload is sent to the remote API.

## New instructions

- Every HTTP request sends a `User-Agent` header (configurable via `--user-agent`).
- `run_chat.py` supports retries, API key from `--apikey-file`, and verbose logs.
- Use `--extra-json` for reasoning/tooling/provider-specific fields.

See `SKILL.md` for examples.

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