PDF support [native format] base64 format

POST

https://api.key4u.shop/v1/messages

Given a prompt, the model will return one or more predicted completions, and may also return the probabilities of alternative tokens at each position.

Create a completion for the provided prompt and parameters

Official documentation: https://docs.anthropic.com/en/docs/build-with-claude/extended-thinking

Request

Authorization

Provide your bearer token in the

Authorization

header when making requests to protected resources.

Example:

Authorization: Bearer ********************

Header Params

Body Params application/json

Example

{
     "model": "claude-haiku-4-5-20251001",
     "max_tokens": 1024,
     "messages": [{
        "role": "user",
        "content": [{
            "type": "document",
            "source": {
                "type": "base64",
                "media_type": "application/pdf",
                "data": "iVBORw0KGgoAAAANSUhEUgAAAiEAAAIhCA... (base64)"
            },
            "cache_control": {
              "type": "ephemeral"
            }
        },
        {
            "type": "text",
            "text": "Which model has the highest human preference win rates across each use-case?"
        }]
    }]
 }

Request Code Samples

Shell

JavaScript

Java

Swift

PHP

Python

HTTP

Objective-C

Ruby

OCaml

Dart

curl --location --request POST 'https://api.key4u.shop/v1/messages' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
     "model": "claude-haiku-4-5-20251001",
     "max_tokens": 1024,
     "messages": [{
        "role": "user",
        "content": [{
            "type": "document",
            "source": {
                "type": "base64",
                "media_type": "application/pdf",
                "data": "iVBORw0KGgoAAAANSUhEUgAAAiEAAAIhCA... (base64)"
            },
            "cache_control": {
              "type": "ephemeral"
            }
        },
        {
            "type": "text",
            "text": "Which model has the highest human preference win rates across each use-case?"
        }]
    }]
 }'

Responses

🟢200OK

application/json

Body

Example

{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "\n\nHello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}

Modified at 2025-12-02 13:49:34

PDF support [native format]

Text Generation