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/install acedatacloud-ai-chat
Description
Access 50+ LLM models through a unified OpenAI-compatible API via AceDataCloud. Use when you need chat completions from GPT, Claude, Gemini, DeepSeek, Grok,...
README (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.chunkobjects via SSE finish_reasonvalues:"stop"(complete),"length"(max tokens),"tool_calls"(function call),"content_filter"(filtered)
Usage Guidance
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.
Capability Analysis
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.
Capability Assessment
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.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install acedatacloud-ai-chat - After installation, invoke the skill by name or use
/acedatacloud-ai-chat - Provide required inputs per the skill's parameter spec and get structured output
Version History
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.
Metadata
Frequently Asked Questions
What is Ai Chat?
Access 50+ LLM models through a unified OpenAI-compatible API via AceDataCloud. Use when you need chat completions from GPT, Claude, Gemini, DeepSeek, Grok,... It is an AI Agent Skill for Claude Code / OpenClaw, with 144 downloads so far.
How do I install Ai Chat?
Run "/install acedatacloud-ai-chat" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Ai Chat free?
Yes, Ai Chat is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Ai Chat support?
Ai Chat is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Ai Chat?
It is built and maintained by Germey (@germey); the current version is v1.0.0.
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