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BytesAgain β€Ί Skills β€Ί Ai Chat
πŸ¦€ ClawHub

Ai Chat

by @germey

Access 50+ LLM models through a unified OpenAI-compatible API via AceDataCloud. Use when you need chat completions from GPT, Claude, Gemini, DeepSeek, Grok,...

Versionv1.0.0
Downloads791
#devops#legal#gaming
TERMINAL
clawhub install acedatacloud-ai-chat

πŸ“– About This Skill

name: 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, or other models through a single endpoint. Supports streaming, function calling, and vision. license: Apache-2.0 metadata: author: acedatacloud version: "1.0" compatibility: Requires ACEDATACLOUD_API_TOKEN environment variable. Works as a drop-in replacement for the OpenAI SDK.

AI Chat β€” 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 β€” 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)

    • πŸ’‘ Examples

    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!"}]}'