--- title: "Bedrock - Writer Palmyra" description: "import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem';" type: skill canonical_url: https://claudary.paisolsolutions.com/skills/bedrock-writer source: "Claudary" difficulty: intermediate author: "Claude Code Knowledge Pack" date: 2026-07-10T11:08:18.777Z license: CC-BY-4.0 attribution: "Bedrock - Writer Palmyra — Claudary (https://claudary.paisolsolutions.com/skills/bedrock-writer)" --- # Bedrock - Writer Palmyra import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; ## Overview import Tabs from '@theme/Tabs'; import TabItem from '@theme/TabItem'; # Bedrock - Writer Palmyra ## Overview | Property | Details | |-------|-------| | Description | Writer Palmyra X5 and X4 foundation models on Amazon Bedrock, offering advanced reasoning, tool calling, and document processing capabilities | | Provider Route on LiteLLM | `bedrock/` | | Supported Operations | `/chat/completions` | | Link to Provider Doc | [Writer on AWS Bedrock ↗](https://aws.amazon.com/bedrock/writer/) | ## Quick Start ### LiteLLM SDK ```python showLineNumbers title="SDK Usage" import litellm import os os.environ["AWS_ACCESS_KEY_ID"] = "" os.environ["AWS_SECRET_ACCESS_KEY"] = "" os.environ["AWS_REGION_NAME"] = "us-west-2" response = litellm.completion( model="bedrock/us.writer.palmyra-x5-v1:0", messages=[{"role": "user", "content": "Hello, how are you?"}] ) print(response.choices[0].message.content) ``` ### LiteLLM Proxy **1. Setup config.yaml** ```yaml showLineNumbers title="proxy_config.yaml" model_list: - model_name: writer-palmyra-x5 litellm_params: model: bedrock/us.writer.palmyra-x5-v1:0 aws_access_key_id: os.environ/AWS_ACCESS_KEY_ID aws_secret_access_key: os.environ/AWS_SECRET_ACCESS_KEY aws_region_name: us-west-2 ``` **2. Start the proxy** ```bash showLineNumbers title="Start Proxy" litellm --config config.yaml ``` **3. Call the proxy** ```bash showLineNumbers title="curl Request" curl -X POST http://localhost:4000/v1/chat/completions \\ -H "Content-Type: application/json" \\ -H "Authorization: Bearer sk-1234" \\ -d '{ "model": "writer-palmyra-x5", "messages": [{"role": "user", "content": "Hello, how are you?"}] }' ``` ```python showLineNumbers title="OpenAI SDK" from openai import OpenAI client = OpenAI( api_key="sk-1234", base_url="http://localhost:4000/v1" ) response = client.chat.completions.create( model="writer-palmyra-x5", messages=[{"role": "user", "content": "Hello, how are you?"}] ) print(response.choices[0].message.content) ``` ## Tool Calling Writer Palmyra models support multi-step tool calling for complex workflows. ### LiteLLM SDK ```python showLineNumbers title="Tool Calling - SDK" import litellm tools = [ { "type": "function", "function": { "name": "get_weather", "description": "Get the current weather in a location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state" } }, "required": ["location"] } } } ] response = litellm.completion( model="bedrock/us.writer.palmyra-x5-v1:0", messages=[{"role": "user", "content": "What's the weather in Boston?"}], tools=tools ) ``` ### LiteLLM Proxy ```bash showLineNumbers title="Tool Calling - curl" curl -X POST http://localhost:4000/v1/chat/completions \\ -H "Content-Type: application/json" \\ -H "Authorization: Bearer sk-1234" \\ -d '{ "model": "writer-palmyra-x5", "messages": [{"role": "user", "content": "What'\\''s the weather in Boston?"}], "tools": [{ "type": "function", "function": { "name": "get_weather", "description": "Get the current weather in a location", "parameters": { "type": "object", "properties": { "location": {"type": "string", "description": "The city and state"} }, "required": ["location"] } } }] }' ``` ```python showLineNumbers title="Tool Calling - OpenAI SDK" from openai import OpenAI client = OpenAI( api_key="sk-1234", base_url="http://localhost:4000/v1" ) tools = [ { "type": "function", "function": { "name": "get_weather", "description": "Get the current weather in a location", "parameters": { "type": "object", "properties": { "location": { "type": "string", "description": "The city and state" } }, "required": ["location"] } } } ] response = client.chat.completions.create( model="writer-palmyra-x5", messages=[{"role": "user", "content": "What's the weather in Boston?"}], tools=tools ) ``` ## Document Input Writer Palmyra models support document inputs including PDFs. ### LiteLLM SDK ```python showLineNumbers title="PDF Document Input - SDK" import litellm import base64 # Read and encode PDF with open("document.pdf", "rb") as f: pdf_base64 = base64.b64encode(f.read()).decode("utf-8") response = litellm.completion( model="bedrock/us.writer.palmyra-x5-v1:0", messages=[ { "role": "user", "content": [ { "type": "image_url", "image_url": { "url": f"data:application/pdf;base64,{pdf_base64}" } }, { "type": "text", "text": "Summarize this document" } ] } ] ) ``` ### LiteLLM Proxy ```bash showLineNumbers title="PDF Document Input - curl" # First, base64 encode your PDF PDF_BASE64=$(base64 -i document.pdf) curl -X POST http://localhost:4000/v1/chat/completions \\ -H "Content-Type: application/json" \\ -H "Authorization: Bearer sk-1234" \\ -d '{ "model": "writer-palmyra-x5", "messages": [{ "role": "user", "content": [ { "type": "image_url", "image_url": {"url": "data:application/pdf;base64,'$PDF_BASE64'"} }, { "type": "text", "text": "Summarize this document" } ] }] }' ``` ```python showLineNumbers title="PDF Document Input - OpenAI SDK" from openai import OpenAI import base64 client = OpenAI( api_key="sk-1234", base_url="http://localhost:4000/v1" ) # Read and encode PDF with open("document.pdf", "rb") as f: pdf_base64 = base64.b64encode(f.read()).decode("utf-8") response = client.chat.completions.create( model="writer-palmyra-x5", messages=[ { "role": "user", "content": [ { "type": "image_url", "image_url": { "url": f"data:application/pdf;base64,{pdf_base64}" } }, { "type": "text", "text": "Summarize this document" } ] } ] ) ``` ## Supported Models | Model ID | Context Window | Input Cost (per 1K tokens) | Output Cost (per 1K tokens) | |----------|---------------|---------------------------|----------------------------| | `bedrock/us.writer.palmyra-x5-v1:0` | 1M tokens | $0.0006 | $0.006 | | `bedrock/us.writer.palmyra-x4-v1:0` | 128K tokens | $0.0025 | $0.010 | | `bedrock/writer.palmyra-x5-v1:0` | 1M tokens | $0.0006 | $0.006 | | `bedrock/writer.palmyra-x4-v1:0` | 128K tokens | $0.0025 | $0.010 | :::info Cross-Region Inference The `us.writer.*` model IDs use cross-region inference profiles. Use these for production workloads. ::: --- Source: [Claudary](https://claudary.paisolsolutions.com/skills/bedrock-writer) · https://claudary.paisolsolutions.com