AI Chat — Unified LLM Gateway

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

Setup: See authentication for token setup.

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-5.4	Gen 5.4	High-performance next-gen
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

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)

Stateful Conversations Endpoint

For stateful, session-based chat (no need to send the full history each time), use the /aichat/conversations endpoint:

curl -X POST https://api.acedata.cloud/aichat/conversations \
  -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-4.1", "question": "What is quantum computing?", "stateful": true}'

Parameter	Type	Description
model	string	Model name (see Available Models above)
question	string	The prompt or question to answer
id	string	Conversation ID — pass the same ID to continue a session
preset	string	Preset/system prompt for the conversation
stateful	boolean	Enable stateful conversation (maintains history server-side)
references	array	Additional context documents to include