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POST
/
v1
/
messages
curl -X POST "https://api.lemondata.cc/v1/messages" \
  -H "x-api-key: sk-your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "max_tokens": 1024,
    "system": "You are a helpful assistant.",
    "messages": [
      {"role": "user", "content": "Hello, Claude!"}
    ]
  }'

{
  "id": "msg_abc123",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "text": "Hello! How can I help you today?"
    }
  ],
  "model": "claude-3-5-sonnet-20241022",
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 15,
    "output_tokens": 10
  }
}

​
Overview

This endpoint provides native Anthropic Messages API compatibility. Use this for Claude models with features like extended thinking.
Base URL for Anthropic SDK: https://api.lemondata.cc (no /v1 suffix)

​
Request Headers

​
x-api-key
string
required
Your LemonData API key. Alternative to Bearer token.
​
anthropic-version
string
required
Anthropic API version. Use 2023-06-01.

​
Request Body

​
model
string
required
Claude model ID (e.g., claude-3-5-sonnet-20241022).
​
messages
array
required
Array of message objects with role and content.
​
max_tokens
integer
required
Maximum tokens to generate.
​
system
string
System prompt (separate from messages array).
​
temperature
number
default:"1"
Sampling temperature (0-1).
​
stream
boolean
default:"false"
Enable streaming responses.
​
thinking
object
Extended thinking configuration (Claude 3.7+).
  • type (string): "enabled" to enable
  • budget_tokens (integer): Token budget for thinking
​
tools
array
Available tools for the model.

​
Response

​
id
string
Unique message identifier.
​
type
string
Always message.
​
role
string
Always assistant.
​
content
array
Array of content blocks (text, thinking, tool_use).
​
model
string
Model used.
​
stop_reason
string
Why generation stopped (end_turn, max_tokens, tool_use).
​
usage
object
Token usage with input_tokens and output_tokens.
curl -X POST "https://api.lemondata.cc/v1/messages" \
  -H "x-api-key: sk-your-api-key" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "claude-3-5-sonnet-20241022",
    "max_tokens": 1024,
    "system": "You are a helpful assistant.",
    "messages": [
      {"role": "user", "content": "Hello, Claude!"}
    ]
  }'

{
  "id": "msg_abc123",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "text",
      "text": "Hello! How can I help you today?"
    }
  ],
  "model": "claude-3-5-sonnet-20241022",
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 15,
    "output_tokens": 10
  }
}

​
Extended Thinking Example

message = client.messages.create(
    model="claude-3-7-sonnet-20250219-thinking",
    max_tokens=16000,
    thinking={
        "type": "enabled",
        "budget_tokens": 10000
    },
    messages=[{"role": "user", "content": "Solve this math problem..."}]
)

for block in message.content:
    if block.type == "thinking":
        print(f"Thinking: {block.thinking}")
    elif block.type == "text":
        print(f"Response: {block.text}")