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    Langkah pertama

    Pengantar ClaudePanduan Cepat

    Model & harga

    Ikhtisar modelMemilih modelApa yang baru di Claude 4.5Migrasi ke Claude 4.5Penghentian modelHarga

    Bangun dengan Claude

    Ikhtisar fiturBekerja dengan Messages APIJendela konteksPraktik terbaik prompting

    Kemampuan

    Penyimpanan cache promptPengeditan konteksPemikiran yang diperluasStreaming MessagesPemrosesan batchKutipanDukungan multibahasaPenghitungan tokenEmbeddingsVisiDukungan PDFFiles APIHasil pencarianAdd-on Google Sheets

    Alat

    Gambaran UmumCara mengimplementasikan penggunaan alatPenggunaan tool yang efisien tokenStreaming tool berbutir halusAlat BashAlat eksekusi kodeAlat penggunaan komputerAlat editor teksAlat web fetchAlat pencarian webAlat memori

    Keterampilan Agen

    IkhtisarMulai dengan Agent Skills di APIPraktik terbaik pembuatan SkillMenggunakan Agent Skills dengan API

    SDK Agen

    Ikhtisar Agent SDKReferensi Agent SDK - TypeScriptReferensi Agent SDK - Python

    Panduan

    Input StreamingMenangani IzinManajemen SesiHosting the Agent SDKMemodifikasi system promptMCP dalam SDKAlat KustomSubagen dalam SDKPerintah Slash dalam SDKAgent Skills dalam SDKMelacak Biaya dan PenggunaanDaftar TodoPlugin dalam SDK

    MCP dalam API

    Konektor MCPServer MCP jarak jauh

    Claude di platform pihak ketiga

    Amazon BedrockVertex AI

    Rekayasa Prompt

    IkhtisarGenerator promptGunakan template promptPerbaikan promptBersikap jelas dan langsungGunakan contoh (multishot prompting)Biarkan Claude berpikir (CoT)Gunakan tag XMLBerikan Claude peran (system prompts)Isi awal respons ClaudeRangkai prompt kompleksTips konteks panjangTips pemikiran diperpanjang

    Uji & evaluasi

    Tentukan kriteria keberhasilanKembangkan kasus ujiMenggunakan Alat EvaluasiMengurangi latensi

    Perkuat perlindungan

    Mengurangi halusinasiMeningkatkan konsistensi outputMitigasi jailbreakhandle-streaming-refusalsMengurangi kebocoran promptMenjaga Claude dalam karakter

    Administrasi dan pemantauan

    Ikhtisar Admin APIAPI Penggunaan dan BiayaClaude Code Analytics API
    Console
    Kemampuan

    Streaming Messages

    Pelajari cara menggunakan streaming untuk menerima respons secara bertahap menggunakan server-sent events (SSE).

    Saat membuat Message, Anda dapat mengatur "stream": true untuk melakukan streaming respons secara bertahap menggunakan server-sent events (SSE).

    Streaming dengan SDK

    SDK Python dan TypeScript kami menawarkan berbagai cara untuk streaming. SDK Python memungkinkan stream sync dan async. Lihat dokumentasi di setiap SDK untuk detailnya.

    Python
    import anthropic

client = anthropic.Anthropic()

with client.messages.stream(
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello"}],
    model="claude-sonnet-4-5",
) as stream:
  for text in stream.text_stream:
      print(text, end="", flush=True)
    TypeScript
    import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic();

await client.messages.stream({
    messages: [{role: 'user', content: "Hello"}],
    model: 'claude-sonnet-4-5',
    max_tokens: 1024,
}).on('text', (text) => {
    console.log(text);
});

    Jenis event

    Setiap server-sent event mencakup jenis event bernama dan data JSON terkait. Setiap event akan menggunakan nama event SSE (misalnya event: message_stop), dan menyertakan type event yang cocok dalam datanya.

    Setiap stream menggunakan alur event berikut:

    1. message_start: berisi objek Message dengan content kosong.
    2. Serangkaian blok konten, yang masing-masing memiliki content_block_start, satu atau lebih event content_block_delta, dan event content_block_stop. Setiap blok konten akan memiliki index yang sesuai dengan indeksnya dalam array content Message akhir.
    3. Satu atau lebih event message_delta, yang menunjukkan perubahan tingkat atas pada objek Message akhir.
    4. Event message_stop terakhir.

    Jumlah token yang ditampilkan dalam field usage dari event message_delta adalah kumulatif.

    Event ping

    Stream event juga dapat mencakup sejumlah event ping.

    Event error

    Kami terkadang dapat mengirim errors dalam stream event. Misalnya, selama periode penggunaan tinggi, Anda mungkin menerima overloaded_error, yang biasanya sesuai dengan HTTP 529 dalam konteks non-streaming:

    Example error
    event: error
data: {"type": "error", "error": {"type": "overloaded_error", "message": "Overloaded"}}

    Event lainnya

    Sesuai dengan kebijakan versioning kami, kami dapat menambahkan jenis event baru, dan kode Anda harus menangani jenis event yang tidak dikenal dengan baik.

    Jenis delta blok konten

    Setiap event content_block_delta berisi delta dari jenis yang memperbarui blok content pada index tertentu.

    Delta teks

    Delta blok konten text terlihat seperti:

    Text delta
    event: content_block_delta
data: {"type": "content_block_delta","index": 0,"delta": {"type": "text_delta", "text": "ello frien"}}

    Delta JSON input

    Delta untuk blok konten tool_use sesuai dengan pembaruan untuk field input dari blok tersebut. Untuk mendukung granularitas maksimum, delta adalah string JSON parsial, sedangkan tool_use.input akhir selalu berupa objek.

    Anda dapat mengakumulasi delta string dan mem-parse JSON setelah menerima event content_block_stop, dengan menggunakan library seperti Pydantic untuk melakukan parsing JSON parsial, atau dengan menggunakan SDK kami, yang menyediakan helper untuk mengakses nilai incremental yang di-parse.

    Delta blok konten tool_use terlihat seperti:

    Input JSON delta
    event: content_block_delta
data: {"type": "content_block_delta","index": 1,"delta": {"type": "input_json_delta","partial_json": "{\"location\": \"San Fra"}}}

    Catatan: Model kami saat ini hanya mendukung emisi satu properti kunci dan nilai lengkap dari input pada satu waktu. Dengan demikian, saat menggunakan tools, mungkin ada penundaan antara event streaming saat model sedang bekerja. Setelah kunci dan nilai input terakumulasi, kami mengeluarkannya sebagai beberapa event content_block_delta dengan json parsial yang dipotong sehingga format dapat secara otomatis mendukung granularitas yang lebih halus dalam model masa depan.

    Delta thinking

    Saat menggunakan extended thinking dengan streaming diaktifkan, Anda akan menerima konten thinking melalui event thinking_delta. Delta ini sesuai dengan field thinking dari blok konten thinking.

    Untuk konten thinking, event signature_delta khusus dikirim tepat sebelum event content_block_stop. Tanda tangan ini digunakan untuk memverifikasi integritas blok thinking.

    Delta thinking tipikal terlihat seperti:

    Thinking delta
    event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "Let me solve this step by step:\n\n1. First break down 27 * 453"}}

    Delta signature terlihat seperti:

    Signature delta
    event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "signature_delta", "signature": "EqQBCgIYAhIM1gbcDa9GJwZA2b3hGgxBdjrkzLoky3dl1pkiMOYds..."}}

    Respons HTTP Stream lengkap

    Kami sangat merekomendasikan agar Anda menggunakan client SDK kami saat menggunakan mode streaming. Namun, jika Anda membangun integrasi API langsung, Anda perlu menangani event ini sendiri.

    Respons stream terdiri dari:

    1. Event message_start
    2. Berpotensi beberapa blok konten, yang masing-masing berisi:
      • Event content_block_start
      • Berpotensi beberapa event content_block_delta
      • Event content_block_stop
    3. Event message_delta
    4. Event message_stop

    Mungkin ada event ping yang tersebar di seluruh respons juga. Lihat Jenis event untuk detail lebih lanjut tentang formatnya.

    Request streaming dasar

    curl https://api.anthropic.com/v1/messages \
     --header "anthropic-version: 2023-06-01" \
     --header "content-type: application/json" \
     --header "x-api-key: $ANTHROPIC_API_KEY" \
     --data \
'{
  "model": "claude-sonnet-4-5",
  "messages": [{"role": "user", "content": "Hello"}],
  "max_tokens": 256,
  "stream": true
}'
    Response
    event: message_start
data: {"type": "message_start", "message": {"id": "msg_1nZdL29xx5MUA1yADyHTEsnR8uuvGzszyY", "type": "message", "role": "assistant", "content": [], "model": "claude-sonnet-4-5-20250929", "stop_reason": null, "stop_sequence": null, "usage": {"input_tokens": 25, "output_tokens": 1}}}

event: content_block_start
data: {"type": "content_block_start", "index": 0, "content_block": {"type": "text", "text": ""}}

event: ping
data: {"type": "ping"}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "Hello"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "text_delta", "text": "!"}}

event: content_block_stop
data: {"type": "content_block_stop", "index": 0}

event: message_delta
data: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence":null}, "usage": {"output_tokens": 15}}

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

    Request streaming dengan penggunaan tool

    Penggunaan tool sekarang mendukung streaming berbutir halus untuk nilai parameter sebagai fitur beta. Untuk detail lebih lanjut, lihat Fine-grained tool streaming.

    Dalam request ini, kami meminta Claude untuk menggunakan tool untuk memberi tahu kami cuaca.

      curl https://api.anthropic.com/v1/messages \
    -H "content-type: application/json" \
    -H "x-api-key: $ANTHROPIC_API_KEY" \
    -H "anthropic-version: 2023-06-01" \
    -d '{
      "model": "claude-sonnet-4-5",
      "max_tokens": 1024,
      "tools": [
        {
          "name": "get_weather",
          "description": "Get the current weather in a given location",
          "input_schema": {
            "type": "object",
            "properties": {
              "location": {
                "type": "string",
                "description": "The city and state, e.g. San Francisco, CA"
              }
            },
            "required": ["location"]
          }
        }
      ],
      "tool_choice": {"type": "any"},
      "messages": [
        {
          "role": "user",
          "content": "What is the weather like in San Francisco?"
        }
      ],
      "stream": true
    }'
    Response
    event: message_start
data: {"type":"message_start","message":{"id":"msg_014p7gG3wDgGV9EUtLvnow3U","type":"message","role":"assistant","model":"claude-sonnet-4-5-20250929","stop_sequence":null,"usage":{"input_tokens":472,"output_tokens":2},"content":[],"stop_reason":null}}

event: content_block_start
data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}

event: ping
data: {"type": "ping"}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"Okay"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":","}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" let"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"'s"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" check"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" the"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" weather"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" for"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" San"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" Francisco"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":","}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" CA"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":":"}}

event: content_block_stop
data: {"type":"content_block_stop","index":0}

event: content_block_start
data: {"type":"content_block_start","index":1,"content_block":{"type":"tool_use","id":"toolu_01T1x1fJ34qAmk2tNTrN7Up6","name":"get_weather","input":{}}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\"location\":"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" \"San"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" Francisc"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"o,"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" CA\""}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":", "}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"\"unit\": \"fah"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"renheit\"}"}}

event: content_block_stop
data: {"type":"content_block_stop","index":1}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"tool_use","stop_sequence":null},"usage":{"output_tokens":89}}

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

    Request streaming dengan extended thinking

    Dalam request ini, kami mengaktifkan extended thinking dengan streaming untuk melihat penalaran langkah demi langkah Claude.

    curl https://api.anthropic.com/v1/messages \
     --header "x-api-key: $ANTHROPIC_API_KEY" \
     --header "anthropic-version: 2023-06-01" \
     --header "content-type: application/json" \
     --data \
'{
    "model": "claude-sonnet-4-5",
    "max_tokens": 20000,
    "stream": true,
    "thinking": {
        "type": "enabled",
        "budget_tokens": 16000
    },
    "messages": [
        {
            "role": "user",
            "content": "What is 27 * 453?"
        }
    ]
}'
    Response
    event: message_start
data: {"type": "message_start", "message": {"id": "msg_01...", "type": "message", "role": "assistant", "content": [], "model": "claude-sonnet-4-5-20250929", "stop_reason": null, "stop_sequence": null}}

event: content_block_start
data: {"type": "content_block_start", "index": 0, "content_block": {"type": "thinking", "thinking": ""}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "Let me solve this step by step:\n\n1. First break down 27 * 453"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n2. 453 = 400 + 50 + 3"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n3. 27 * 400 = 10,800"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n4. 27 * 50 = 1,350"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n5. 27 * 3 = 81"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "thinking_delta", "thinking": "\n6. 10,800 + 1,350 + 81 = 12,231"}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 0, "delta": {"type": "signature_delta", "signature": "EqQBCgIYAhIM1gbcDa9GJwZA2b3hGgxBdjrkzLoky3dl1pkiMOYds..."}}

event: content_block_stop
data: {"type": "content_block_stop", "index": 0}

event: content_block_start
data: {"type": "content_block_start", "index": 1, "content_block": {"type": "text", "text": ""}}

event: content_block_delta
data: {"type": "content_block_delta", "index": 1, "delta": {"type": "text_delta", "text": "27 * 453 = 12,231"}}

event: content_block_stop
data: {"type": "content_block_stop", "index": 1}

event: message_delta
data: {"type": "message_delta", "delta": {"stop_reason": "end_turn", "stop_sequence": null}}

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

    Request streaming dengan penggunaan tool pencarian web

    Dalam request ini, kami meminta Claude untuk mencari web untuk informasi cuaca terkini.

    curl https://api.anthropic.com/v1/messages \
     --header "x-api-key: $ANTHROPIC_API_KEY" \
     --header "anthropic-version: 2023-06-01" \
     --header "content-type: application/json" \
     --data \
'{
    "model": "claude-sonnet-4-5",
    "max_tokens": 1024,
    "stream": true,
    "tools": [
        {
            "type": "web_search_20250305",
            "name": "web_search",
            "max_uses": 5
        }
    ],
    "messages": [
        {
            "role": "user",
            "content": "What is the weather like in New York City today?"
        }
    ]
}'
    Response
    event: message_start
data: {"type":"message_start","message":{"id":"msg_01G...","type":"message","role":"assistant","model":"claude-sonnet-4-5-20250929","content":[],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2679,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":3}}}

event: content_block_start
data: {"type":"content_block_start","index":0,"content_block":{"type":"text","text":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"I'll check"}}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":" the current weather in New York City for you"}}

event: ping
data: {"type": "ping"}

event: content_block_delta
data: {"type":"content_block_delta","index":0,"delta":{"type":"text_delta","text":"."}}

event: content_block_stop
data: {"type":"content_block_stop","index":0}

event: content_block_start
data: {"type":"content_block_start","index":1,"content_block":{"type":"server_tool_use","id":"srvtoolu_014hJH82Qum7Td6UV8gDXThB","name":"web_search","input":{}}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"{\"query"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"\":"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" \"weather"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":" NY"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"C to"}}

event: content_block_delta
data: {"type":"content_block_delta","index":1,"delta":{"type":"input_json_delta","partial_json":"day\"}"}}

event: content_block_stop
data: {"type":"content_block_stop","index":1 }

event: content_block_start
data: {"type":"content_block_start","index":2,"content_block":{"type":"web_search_tool_result","tool_use_id":"srvtoolu_014hJH82Qum7Td6UV8gDXThB","content":[{"type":"web_search_result","title":"Weather in New York City in May 2025 (New York) - detailed Weather Forecast for a month","url":"https://world-weather.info/forecast/usa/new_york/may-2025/","encrypted_content":"Ev0DCioIAxgCIiQ3NmU4ZmI4OC1k...","page_age":null},...]}}

event: content_block_stop
data: {"type":"content_block_stop","index":2}

event: content_block_start
data: {"type":"content_block_start","index":3,"content_block":{"type":"text","text":""}}

event: content_block_delta
data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":"Here's the current weather information for New York"}}

event: content_block_delta
data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":" City:\n\n# Weather"}}

event: content_block_delta
data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":" in New York City"}}

event: content_block_delta
data: {"type":"content_block_delta","index":3,"delta":{"type":"text_delta","text":"\n\n"}}

...

event: content_block_stop
data: {"type":"content_block_stop","index":17}

event: message_delta
data: {"type":"message_delta","delta":{"stop_reason":"end_turn","stop_sequence":null},"usage":{"input_tokens":10682,"cache_creation_input_tokens":0,"cache_read_input_tokens":0,"output_tokens":510,"server_tool_use":{"web_search_requests":1}}}

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

    Pemulihan error

    Ketika request streaming terganggu karena masalah jaringan, timeout, atau error lainnya, Anda dapat pulih dengan melanjutkan dari tempat stream terganggu. Pendekatan ini menghemat Anda dari memproses ulang seluruh respons.

    Strategi pemulihan dasar melibatkan:

    1. Tangkap respons parsial: Simpan semua konten yang berhasil diterima sebelum error terjadi
    2. Buat request lanjutan: Buat request API baru yang menyertakan respons assistant parsial sebagai awal dari pesan assistant baru
    3. Lanjutkan streaming: Terus menerima sisa respons dari tempat terganggu

    Praktik terbaik pemulihan error

    1. Gunakan fitur SDK: Manfaatkan kemampuan akumulasi pesan dan penanganan error bawaan SDK
    2. Tangani jenis konten: Sadari bahwa pesan dapat berisi beberapa blok konten (text, tool_use, thinking). Blok penggunaan tool dan extended thinking tidak dapat dipulihkan sebagian. Anda dapat melanjutkan streaming dari blok teks terbaru.
    • Streaming dengan SDK
    • Jenis event
    • Event ping
    • Event error
    • Event lainnya
    • Jenis delta blok konten
    • Delta teks
    • Delta JSON input
    • Delta thinking
    • Respons HTTP Stream lengkap
    • Request streaming dasar
    • Request streaming dengan penggunaan tool
    • Request streaming dengan extended thinking
    • Request streaming dengan penggunaan tool pencarian web
    • Pemulihan error
    • Praktik terbaik pemulihan error
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