Langsung ke konten utama

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Ringkasan

Endpoint ini menyediakan kompatibilitas native dengan Anthropic Messages API. Gunakan ini untuk model Claude dengan fitur seperti extended thinking.
Base URL untuk Anthropic SDK: https://api.lemondata.cc (tanpa sufiks /v1)

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Header Permintaan

​
x-api-key
string
wajib
LemonData API key Anda. Alternatif untuk token Bearer.
​
anthropic-version
string
wajib
Versi Anthropic API. Gunakan 2023-06-01.

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Body Permintaan

​
model
string
wajib
ID model Claude (misalnya, claude-sonnet-4-6 atau claude-opus-4-6).
​
messages
array
wajib
Array objek message dengan role dan content.
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max_tokens
integer
wajib
Jumlah token maksimum yang akan dihasilkan.
​
system
string
Prompt sistem (terpisah dari array messages).
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temperature
number
default:"1"
Temperature sampling (0-1).
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stream
boolean
default:"false"
Aktifkan respons streaming.
​
thinking
object
Konfigurasi extended thinking (Claude Opus 4.5).
  • type (string): "enabled" untuk mengaktifkan
  • budget_tokens (integer): Anggaran token untuk thinking
​
tools
array
Tools yang tersedia untuk model.
​
tool_choice
object
Bagaimana model harus menggunakan tools. Opsi: auto, any, tool (tool tertentu).
​
top_p
number
Parameter nucleus sampling. Gunakan temperature atau top_p, bukan keduanya.
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top_k
integer
Hanya ambil sampel dari K opsi teratas untuk setiap token.
​
stop_sequences
array
Urutan stop kustom yang akan menyebabkan model berhenti menghasilkan.
​
metadata
object
Metadata yang dilampirkan ke permintaan untuk tujuan pelacakan.

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Respons

​
id
string
Pengidentifikasi message yang unik.
​
type
string
Selalu message.
​
role
string
Selalu assistant.
​
content
array
Array blok konten (text, thinking, tool_use).
​
model
string
Model yang digunakan.
​
stop_reason
string
Alasan generation berhenti (end_turn, max_tokens, tool_use).
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usage
object
Penggunaan token dengan input_tokens dan 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-sonnet-4-6",
    "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-sonnet-4-6",
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 15,
    "output_tokens": 10
  }
}

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Vision Input Example

For Claude models with vision support, place images inside messages[].content as structured image blocks. 
{
  "model": "claude-sonnet-4-6",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please describe this image."
        },
        {
          "type": "image",
          "source": {
            "type": "url",
            "url": "https://example.com/demo.jpg"
          }
        }
      ]
    }
  ]
}

{
  "model": "claude-sonnet-4-6",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Please describe this image."
        },
        {
          "type": "image",
          "source": {
            "type": "base64",
            "media_type": "image/jpeg",
            "data": "/9j/4AAQSkZJRgABAQ..."
          }
        }
      ]
    }
  ]
}

​
Contoh Extended Thinking

message = client.messages.create(
    model="claude-opus-4-6",
    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}")

​
Anthropic Message Batches

LemonData kini juga menyediakan alur native Anthropic Message Batches di samping /v1/messages. Rute yang tersedia:
  • POST /v1/messages/batches
  • GET /v1/messages/batches
  • GET /v1/messages/batches/:message_batch_id
  • GET /v1/messages/batches/:message_batch_id/results
  • POST /v1/messages/batches/:message_batch_id/cancel
  • DELETE /v1/messages/batches/:message_batch_id
Catatan operasional:
  • Gunakan API key LemonData yang sama bersama header native Anthropic.
  • Jika item batch mereferensikan file_id, sertakan juga anthropic-beta: files-api-2025-04-14.
  • Batch job mempertahankan bentuk request/response native Anthropic, sementara LemonData melacak siklus settlement internalnya.