AI Services/Large Language Models

Anthropic Chat

Interface description: Compatible endpoint for the Anthropic Messages API (/v1/messages), supporting streaming output (SSE). Request, response and error formats follow Anthropic specifications; authentication uses the x-api-key header (carried by Anthropic SDK by default). Existing Anthropic SDKs can be accessed by simply replacing baseURL and API Key, and billing is based on AiToEarn points.

Before calling this interface, please request the “Conversation Model List” interface (GET /api/ai/models/chat) to obtain the currently available model list.

POST

api

messages

Anthropic Chat

curl --request POST \
  --url https://aitoearn.cn/api/ai/v1/messages \
  --header 'Content-Type: application/json' \
  --header 'X-Api-Key: <api-key>' \
  --data '
{
  "model": "claude-sonnet-5",
  "messages": [
    {
      "role": "user",
      "content": "Introduce AiToEarn in one sentence."
    }
  ]
}
'

import requests

url = "https://aitoearn.cn/api/ai/v1/messages"

payload = {
    "model": "claude-sonnet-5",
    "messages": [
        {
            "role": "user",
            "content": "Introduce AiToEarn in one sentence."
        }
    ]
}
headers = {
    "X-Api-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'claude-sonnet-5',
    messages: [{role: 'user', content: 'Introduce AiToEarn in one sentence.'}]
  })
};

fetch('https://aitoearn.cn/api/ai/v1/messages', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://aitoearn.cn/api/ai/v1/messages"

	payload := strings.NewReader("{\n  \"model\": \"claude-sonnet-5\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Introduce AiToEarn in one sentence.\"\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-Api-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

event: message_start
data: {"type":"message_start","message":{"model":"string","id":"string","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":"integer","output_tokens":"integer","cache_creation_input_tokens":"integer","cache_read_input_tokens":"integer"}}}

event: content_block_start
data: {"type":"content_block_start","index":"integer","content_block":{"type":"text","text":"string"}}

event: content_block_delta
data: {"type":"content_block_delta","index":"integer","delta":{"type":"text_delta","text":"string"}}

event: content_block_stop
data: {"type":"content_block_stop","index":"integer"}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":"integer","output_tokens":"integer","cache_creation_input_tokens":"integer","cache_read_input_tokens":"integer","cache_creation":{"ephemeral_5m_input_tokens":"integer"}}}

event: message_stop
data: {"type":"message_stop"}

Authorizations

X-Api-Key

string

header

required

Need to get API Key from AiToEarn. Click to go to "API Key Obtaining Tutorial".

Body

application/json

messages

object[]

required

Message list

Minimum array length: 1

Hide child attributes

messages.role

enum<string>

required

Message role, used to distinguish different message sources

Available options:

user,

assistant

Example:

"user"

messages.content

string

required

Content text

Example:

"Introduce AiToEarn in one sentence."

Example:

[
  {
    "role": "user",
    "content": "Introduce AiToEarn in one sentence."
  }
]

model

string

required

Anthropic channel model ID. First call the Chat Model List endpoint (GET /api/ai/models/chat), then select data[n].name where channel is anthropic.

Example:

"claude-sonnet-5"

max_tokens

integer

default:32000

Maximum output tokens. The allowed range is 1 to 9007199254740991 and the default is 32000; the example uses 64 to limit test usage.

Required range: 1 <= x <= 9007199254740991

Example:

64

Response

200 - text/event-stream

Native third-party protocol response or SSE data, not wrapped in the AiToEarn common response envelope.

SSE event stream using the Anthropic Messages protocol.

Last modified on September 29, 2026

Anthropic Chat

curl --request POST \
  --url https://aitoearn.cn/api/ai/v1/messages \
  --header 'Content-Type: application/json' \
  --header 'X-Api-Key: <api-key>' \
  --data '
{
  "model": "claude-sonnet-5",
  "messages": [
    {
      "role": "user",
      "content": "Introduce AiToEarn in one sentence."
    }
  ]
}
'

import requests

url = "https://aitoearn.cn/api/ai/v1/messages"

payload = {
    "model": "claude-sonnet-5",
    "messages": [
        {
            "role": "user",
            "content": "Introduce AiToEarn in one sentence."
        }
    ]
}
headers = {
    "X-Api-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'claude-sonnet-5',
    messages: [{role: 'user', content: 'Introduce AiToEarn in one sentence.'}]
  })
};

fetch('https://aitoearn.cn/api/ai/v1/messages', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://aitoearn.cn/api/ai/v1/messages"

	payload := strings.NewReader("{\n  \"model\": \"claude-sonnet-5\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"Introduce AiToEarn in one sentence.\"\n    }\n  ]\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-Api-Key", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

event: message_start
data: {"type":"message_start","message":{"model":"string","id":"string","type":"message","role":"assistant","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":"integer","output_tokens":"integer","cache_creation_input_tokens":"integer","cache_read_input_tokens":"integer"}}}

event: content_block_start
data: {"type":"content_block_start","index":"integer","content_block":{"type":"text","text":"string"}}

event: content_block_delta
data: {"type":"content_block_delta","index":"integer","delta":{"type":"text_delta","text":"string"}}

event: content_block_stop
data: {"type":"content_block_stop","index":"integer"}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":"integer","output_tokens":"integer","cache_creation_input_tokens":"integer","cache_read_input_tokens":"integer","cache_creation":{"ephemeral_5m_input_tokens":"integer"}}}

event: message_stop
data: {"type":"message_stop"}