Ai Chat Acedatacloud Skills 2

---
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 — Unified LLM Gateway

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

## Authentication

```bash
export ACEDATACLOUD_API_TOKEN="your-token-here"
```

## Quick Start

```bash
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

```python
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

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

### Function Calling

```json
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

```json
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

```json
{
  "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)