AI Chat — Unified LLM Gateway

AceDataCloud exposes two documented chat surfaces:

Endpoint	Use For
`POST /aichat2/conversations`	Recommended stateful / multimodal / agentic conversations
`POST /aichat/conversations`	Legacy conversation endpoint
`POST /openai/chat/completions`	OpenAI-compatible stateless chat completions
`POST /openai/responses`	OpenAI-compatible responses API

Setup: See authentication for token setup.

Quick Start

Recommended: stateful conversations

bash

curl -X POST https://api.acedata.cloud/aichat2/conversations \
  -H "Authorization: ******ACEDATACLOUD_API_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-4.1","question":"Summarize the latest release notes.","stateful":true}'

OpenAI-compatible SDK

python

from openai import OpenAI

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

response = client.chat.completions.create(
    model="gpt-5.5",
    messages=[{"role": "user", "content": "Explain quantum computing"}]
)
print(response.choices[0].message.content)

Currently Documented Model Families

The OpenAPI specs expose a broad, fast-moving model catalog. Representative current models include:

Family	Current examples
OpenAI / reasoning	`gpt-5.5` , `gpt-5.5-pro` , `gpt-5.4` , `gpt-5.4-pro` , `gpt-5.2` , `gpt-5.1` , `gpt-5` , `gpt-5-mini` , `gpt-5-nano` , `gpt-4.1` , `gpt-4.1-mini` , `gpt-4.1-nano` , `gpt-4o` , `gpt-4o-mini` , `o1` , `o3` , `o4-mini`
OpenAI free-tier chat-completions	`gpt-5.5:free` , `gpt-5:free` , `gpt-4.1:free` , `gpt-4o:free` , `gpt-4o-mini:free` , `gpt-oss:free`
Claude	`claude-fable-5` , `claude-sonnet-5` , `claude-opus-4-8` , `claude-opus-4-7` , `claude-opus-4-6` , `claude-opus-4-5-20251101` , `claude-sonnet-4-6` , `claude-sonnet-4-5-20250929` , `claude-sonnet-4-20250514` , `claude-haiku-4-5-20251001` , `claude-3-7-sonnet-20250219`
Gemini	`gemini-3.1-pro` , `gemini-3.1-pro-preview` , `gemini-3.1-flash-image-preview` , `gemini-3.1-flash-lite-preview` , `gemini-3-pro-preview` , `gemini-2.5-flash-lite` , `gemini-2.0-flash-lite`
Grok	`grok-4` , `grok-4-0709` , `grok-3` , `grok-3-fast`
DeepSeek	`deepseek-r1` , `deepseek-r1-0528` , `deepseek-v3` , `deepseek-v3-250324` , `deepseek-v3.2-exp` , `deepseek-v4-flash`
Kimi	`kimi-k2.5` , `kimi-k2-thinking-turbo` , `kimi-k2-thinking` , `kimi-k2-instruct-0905` , `kimi-k2-0905-preview` , `kimi-k2-turbo-preview` , `kimi-k2-0711-preview`
GLM	`glm-5.2` , `glm-5.1` , `glm-5` , `glm-5-turbo` , `glm-4.7` , `glm-4.6` , `glm-4.5` , `glm-4.5v` , `glm-3-turbo`

/aichat2/conversations

also accepts

model_group

values

chatgpt

claude

gemini

grok

kimi

glm

, and

deepseek

OpenAI-Compatible Chat

json

POST /openai/chat/completions
{
  "model": "gpt-4.1",
  "messages": [{"role": "user", "content": "Write a haiku about observability."}],
  "stream": true,
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "get_weather",
        "parameters": {"type": "object", "properties": {"location": {"type": "string"}}}
      }
    }
  ]
}

Common parameters:

Parameter	Type	Description
`model`	string	One of the documented OpenAI-compatible models
`messages`	array	Standard OpenAI chat message list
`temperature` / `top_p`	number	Sampling controls
`max_tokens`	integer	Output cap
`stream`	boolean	Enable SSE streaming
`tools` / `tool_choice`	array / string-object	Function-calling controls
`service_tier`	string	Processing tier ( `auto` , `default` , `flex` , `scale` , `priority` )

Stateful / Agentic Conversations

POST /aichat2/conversations

generalizes the legacy conversation API with multimodal user content, CRUD-style actions, and server-side conversation state.

json

POST /aichat2/conversations
{
  "action": "chat",
  "model": "claude-sonnet-4-6",
  "message": [
    {"type": "text", "text": "Describe this image."},
    {"type": "image_url", "image_url": {"url": "https://example.com/photo.jpg"}}
  ],
  "stateful": true,
  "allowed_skills": ["google-search"],
  "allowed_mcp_servers": ["mcp-google-search"]
}

Useful parameters:

Parameter	Type	Description
`action`	string	`chat` , `retrieve` , `retrieve_batch` , `update` , `delete`
`model`	string	Model name
`question`	string	Simple text prompt
`message`	string or array	Multimodal content using `text` , `image_url` , or `file_url` items
`stateful`	boolean	Keep conversation history server-side
`references`	array	Extra context documents
`preset`	string	Preset/system prompt
`max_turns`	integer	Trim retained turn history
`allowed_skills` / `allowed_mcp_servers`	array	Restrict tool-use scope
`unattended_policy`	object	Tool-use permission policy
`tool_results`	array	Return results for previously requested tool calls
`model_group`	string	Family selector ( `chatgpt` , `claude` , `gemini` , `grok` , `kimi` , `glm` , `deepseek` )
`offset` / `limit`	integer	Pagination for retrieval actions
`callback_url` / `async`	string / boolean	Async execution

Gotchas

The documented OpenAI-compatible routes live under
```
/openai/*
```
, not
```
/v1/*
```
.
```
POST /aichat2/conversations
```
is the recommended stateful endpoint;
```
POST /aichat/conversations
```
remains for legacy clients.
```
message
```
on
```
/aichat2/conversations
```
can be multimodal (
```
text
```
,
```
image_url
```
,
```
file_url
```
); plain
```
question
```
still works for simple text prompts.

action

/aichat2/conversations

is not chat-only — it also supports

retrieve

retrieve_batch

update

, and

delete

Free-tier model variants such as
```
gpt-5.5:free
```
are documented on
```
/openai/chat/completions
```
.

ai-chat

NPX Install

Tags

SKILL.md Content