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germey

Ai Chat

作者 Germey · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install acedatacloud-ai-chat
功能描述
Access 50+ LLM models through a unified OpenAI-compatible API via AceDataCloud. Use when you need chat completions from GPT, Claude, Gemini, DeepSeek, Grok,...
使用说明 (SKILL.md)

AI Chat — Unified LLM Gateway

Access 50+ language models through a single OpenAI-compatible endpoint via AceDataCloud.

Authentication

export ACEDATACLOUD_API_TOKEN="your-token-here"

Quick Start

curl -X POST https://api.acedata.cloud/v1/chat/completions \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "claude-sonnet-4-20250514", "messages": [{"role": "user", "content": "Hello!"}]}'

OpenAI SDK Drop-in

from openai import OpenAI

client = OpenAI(
    api_key="your-token-here",
    base_url="https://api.acedata.cloud/v1"
)

response = client.chat.completions.create(
    model="gpt-4.1",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)
print(response.choices[0].message.content)

Available Models

OpenAI GPT

Model Type Best For
gpt-4.1 Latest General-purpose, high quality
gpt-4.1-mini Small Fast, cost-effective
gpt-4.1-nano Tiny Ultra-fast, lowest cost
gpt-4o Multimodal Vision + text
gpt-4o-mini Small multimodal Fast vision tasks
o1 Reasoning Complex reasoning tasks
o1-mini Small reasoning Quick reasoning
o1-pro Pro reasoning Advanced reasoning
gpt-5 Latest gen Next-gen intelligence
gpt-5-mini Mini gen 5 Fast next-gen

Anthropic Claude

Model Type Best For
claude-opus-4-6 Latest Opus Highest capability
claude-sonnet-4-6 Latest Sonnet Balanced quality/speed
claude-opus-4-5-20251101 Opus 4.5 Premium tasks
claude-sonnet-4-5-20250929 Sonnet 4.5 High-quality balance
claude-sonnet-4-20250514 Sonnet 4 Reliable general-purpose
claude-haiku-4-5-20251001 Haiku 4.5 Fast, efficient
claude-3-5-sonnet-20241022 Legacy 3.5 Proven track record
claude-3-opus-20240229 Legacy Opus Maximum quality (legacy)

Google Gemini

Model Best For
gemini-1.5-pro Long context, complex tasks
gemini-1.5-flash Fast, efficient

DeepSeek

Model Best For
deepseek-r1 Deep reasoning
deepseek-r1-0528 Latest reasoning
deepseek-v3 General-purpose
deepseek-v3-250324 Latest general

xAI Grok

Model Best For
grok-4 Latest, highest capability
grok-3 General-purpose
grok-3-fast Speed-optimized
grok-3-mini Compact, efficient

Features

Streaming

POST /v1/chat/completions
{
  "model": "claude-sonnet-4-20250514",
  "messages": [{"role": "user", "content": "Write a story"}],
  "stream": true
}

Function Calling

POST /v1/chat/completions
{
  "model": "gpt-4.1",
  "messages": [{"role": "user", "content": "What's the weather in Tokyo?"}],
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "parameters": {"type": "object", "properties": {"location": {"type": "string"}}}
      }
    }
  ]
}

Vision

POST /v1/chat/completions
{
  "model": "gpt-4o",
  "messages": [
    {
      "role": "user",
      "content": [
        {"type": "text", "text": "What's in this image?"},
        {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}}
      ]
    }
  ]
}

Parameters

Parameter Type Description
model string Model name (see tables above)
messages array Array of {role, content} objects
temperature 0–2 Randomness (default: 1)
top_p 0–1 Nucleus sampling
max_tokens integer Maximum output tokens
stream boolean Enable SSE streaming
tools array Function calling definitions
tool_choice string/object Tool selection strategy

Response

{
  "id": "chatcmpl-xxx",
  "object": "chat.completion",
  "model": "claude-sonnet-4-20250514",
  "choices": [
    {
      "index": 0,
      "message": {"role": "assistant", "content": "Hello!"},
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 10,
    "completion_tokens": 5,
    "total_tokens": 15
  }
}

Gotchas

  • 100% OpenAI-compatible — use the standard OpenAI SDK with base_url="https://api.acedata.cloud/v1"
  • Billing is token-based with per-model pricing (more expensive models cost more per token)
  • Vision is supported on multimodal models (gpt-4o, gpt-4o-mini, grok-2-vision-*)
  • Function calling works on most modern models (GPT-4+, Claude 3+)
  • Streaming returns chat.completion.chunk objects via SSE
  • finish_reason values: "stop" (complete), "length" (max tokens), "tool_calls" (function call), "content_filter" (filtered)
安全使用建议
This skill looks functionally consistent with being an OpenAI-compatible proxy to AceDataCloud, but the SKILL.md requires ACEDATACLOUD_API_TOKEN while the registry metadata does not declare it — ask the publisher to correct the metadata. Before installing: verify the vendor (AceDataCloud) and its domain (api.acedata.cloud), confirm how to obtain and scope the API token, understand billing and data retention policies for requests sent through their gateway, and only provide a token with minimum necessary scope. Because the source and homepage are missing, treat the skill as lower provenance: test in a sandboxed environment and avoid supplying high-privilege credentials until you confirm the vendor and metadata are correct.
功能分析
Type: OpenClaw Skill Name: acedatacloud-ai-chat Version: 1.0.0 The skill bundle provides documentation and instructions for an AI agent to interact with a unified LLM gateway service (AceDataCloud). It contains no executable code, only Markdown instructions (SKILL.md) and metadata. While the model versions listed (e.g., GPT-5, Claude 4) and the publication date are futuristic or fictional, the bundle's logic is limited to standard API interaction via the endpoint api.acedata.cloud and does not exhibit any malicious patterns such as data exfiltration or unauthorized execution.
能力评估
Purpose & Capability
The name/description and the runtime instructions align: this is an OpenAI-compatible gateway to many third-party models (AceDataCloud API). However, the package metadata does not declare the ACEDATACLOUD_API_TOKEN credential that the SKILL.md explicitly states is required. Also there is no homepage or source URL listed, which reduces provenance and auditability.
Instruction Scope
SKILL.md only shows examples of calling https://api.acedata.cloud/v1 and using an API token. It does not instruct the agent to read unrelated files, environment variables, or system paths, nor to transmit data to unexpected endpoints beyond the documented AceDataCloud API.
Install Mechanism
Instruction-only skill with no install spec and no code files — minimal surface area and nothing is written to disk by an installer.
Credentials
The runtime instructions require a single bearer credential (ACEDATACLOUD_API_TOKEN), which is proportionate for an API gateway. The concern is that the registry metadata omitted this required env var (Required env vars: none), causing an inconsistency: the platform may not surface that a secret is needed and users might not realize they must provide a token. Also the token's scope, where to obtain it, and billing implications are not documented in the skill metadata.
Persistence & Privilege
The skill is not force-included (always: false) and uses normal autonomous invocation defaults. It does not request persistent system-level privileges or modify other skills/config. Nothing unusual here.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install acedatacloud-ai-chat
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /acedatacloud-ai-chat 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.0.0
Initial release: Unified API for 50+ LLMs via AceDataCloud - Provides a single OpenAI-compatible endpoint for GPT, Claude, Gemini, DeepSeek, Grok, and others. - Supports chat completions, streaming, function calling, and vision/multimodal inputs. - Drop-in replacement for the OpenAI SDK; requires `ACEDATACLOUD_API_TOKEN`. - Supports flexible model selection and usage across multiple vendors. - Features token-based billing and standard OpenAI-compatible responses.
元数据
Slug acedatacloud-ai-chat
版本 1.0.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Ai Chat 是什么?

Access 50+ LLM models through a unified OpenAI-compatible API via AceDataCloud. Use when you need chat completions from GPT, Claude, Gemini, DeepSeek, Grok,... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 144 次。

如何安装 Ai Chat?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install acedatacloud-ai-chat」即可一键安装,无需额外配置。

Ai Chat 是免费的吗?

是的,Ai Chat 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Ai Chat 支持哪些平台?

Ai Chat 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Ai Chat?

由 Germey(@germey)开发并维护,当前版本 v1.0.0。

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