Writer Palmyra X4 - Amazon Bedrock
Palmyra X4 調用請求內文欄位Palmyra X4 調用回應內文欄位Writer Palmyra X4 範例程式碼

Writer Palmyra X4

Writer Palmyra X4 是一種模型，具有最多可達 128,000 個字符的內容視窗。此模型精於處理與理解複雜的任務，因此非常適合工作流程自動化、編碼任務和資料分析。

  • 提供者 — 寫入器

  • 類別 — 文字產生、程式碼產生、RTF 格式設定

  • 最新版本 — v1

  • 發行日期 — 2025 年 4 月 28 日

  • 模型 ID — writer.palmyra-x4-v1:0

  • 模式 — 文字

  • 字符上限 – 輸入：122,880 個字符，輸出：8192 個字符

  • 語言 — 英語、西班牙語、法語、德語、中文和其他多種語言

  • 部署類型 — 無伺服器

Palmyra X4 調用請求內文欄位

當您使用寫入器模型進行 InvokeModel 或 InvokeModelWithResponseStream 呼叫時，請使用符合下列的 JSON 物件填充 body 欄位。在 text_prompts 物件的 text 欄位中輸入提示。

{
"modelId": "writer.palmyra-x4-v1:0",
"contentType": "application/json",
"accept": "application/json",
"body": "{\"messages\":[{\"role\":\"user\",\"content\":{\"text\":\"Explain quantum computing in simple terms\"}}]}"
}

下表展示數字參數的最小值、最大值和預設值。

參數 類型 預設 範圍/驗證 描述

messages

陣列

必要

1-∞ 個項目

聊天歷史記錄訊息

溫度

float

1.0

0.0 ≤ x ≤ 2.0

取樣溫度

top_p

float

1.0

0.0 < 值 ≤ 1.0

核心取樣閾值

max_tokens

int

16

1 ≤ x ≤ 8192

要產生的字符數上限

min_tokens

int

0

0 ≤ x ≤ max_tokens

停止之前的字符數下限

stop

陣列

[]

≤4 個項目

停止序列

seed

int

null

任何整數

Random seed (隨機種子)

presence_penalty

float

0.0

-2.0 ≤ x ≤ 2.0

新的字符出現懲罰

frequency_penalty

float

0.0

-2.0 ≤ x ≤ 2.0

字符頻率懲罰

Palmyra X4 調用回應內文欄位

Writer Palmyra X4 的回應 JSON 使用下列格式：

{
  "id": "chatcmpl-a689a6e150b048ca8814890d3d904d41",
  "object": "chat.completion",
  "created": 1745854231,
  "model": "writer.palmyra-x4-v1:0",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "reasoning_content": null,
        "content": "Quantum computing harnesses quantum mechanics to process information in extraordinarily powerful ways. Unlike classical bits, which are 0 or 1, quantum bits (qubits) can exist in multiple states simultaneously through superposition. Qubits also entangle, allowing them to be interconnected in such a way that the state of one (whether it's 0 or 1) can depend on the state of another, no matter the distance between them. This combination of superposition and entanglement enables quantum computers to solve complex problems much faster than classical computers, particularly in areas like cryptography, optimization, and simulations of molecular structures. However, quantum computing is still in its early stages, facing challenges in stability and scalability.",
        "tool_calls": []
      },
      "logprobs": null,
      "finish_reason": "stop",
      "stop_reason": null
    }
  ],
  "usage": {
    "prompt_tokens": 43,
    "total_tokens": 186,
    "completion_tokens": 143,
    "prompt_tokens_details": null
  },
  "prompt_logprobs": null
}

Writer Palmyra X4 範例程式碼

Writer Palmyra X4 的範例程式碼：

import boto3
import json
from botocore.exceptions import ClientError

client = boto3.client("bedrock-runtime", region_name="us-west-2")
model_id = "writer.palmyra-x4-v1:0"

# Format the request payload using the model's native structure.
native_request = {
    "temperature": 1,
    "messages": [
        {
            "role": "user",
            "content": "Explain quantum computing in simple terms.",
        }
    ],
}

# Convert the native request to JSON.
request = json.dumps(native_request)

try:
    # Invoke the model with the request.
    response = client.invoke_model(modelId=model_id, body=request)
except (ClientError, Exception) as e:
    print(f"ERROR: Can't invoke '{model_id}'. Reason: {e}")
    exit(1)

# Decode the response body.
model_response = json.loads(response["body"].read())

# Extract and print the response text.
response_text = model_response["content"][0]["text"]
print(response_text)