Claude-3-7-Sonnet-Thinking-All - Text To Text

POST

messages

claude-3-7-sonnet-thinking-all (text to text)

curl --request POST \
  --url https://api.example.com/v1/messages

import requests

url = "https://api.example.com/v1/messages"

response = requests.post(url)

print(response.text)

const options = {method: 'POST'};

fetch('https://api.example.com/v1/messages', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://api.example.com/v1/messages",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://api.example.com/v1/messages"

	req, _ := http.NewRequest("POST", url, nil)

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://api.example.com/v1/messages")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/v1/messages")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)

response = http.request(request)
puts response.read_body

Claude’s official format for the text to text API.

curl -X POST "https://gptproto.com/v1/messages" \
  -H "Authorization: YOUR_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "claude-3-7-sonnet-thinking-all",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": "Who are you?"
    }
  ]
}'

import anthropic

client = anthropic.Anthropic(
    api_key="YOUR_API_KEY",
    base_url="https://gptproto.com"
)

message = client.messages.create(
    model="claude-3-7-sonnet-thinking-all",
    max_tokens=1024,
    messages=[
        {"role": "user", "content": "Who are you?"}
    ]
)

print(message.content)

import Anthropic from '@anthropic-ai/sdk';

const client = new Anthropic({
  apiKey: 'YOUR_API_KEY',
  baseURL: 'https://gptproto.com'
});

const message = await client.messages.create({
  model: 'claude-3-7-sonnet-thinking-all',
  max_tokens: 1024,
  messages: [
    { role: 'user', content: 'Who are you?' }
  ]
});

console.log(message.content);

package main

import (
    "bytes"
    "encoding/json"
    "fmt"
    "io/ioutil"
    "net/http"
)

func main() {
    url := "https://gptproto.com/v1/messages"

    payload := []byte(`{
  "model": "claude-3-7-sonnet-thinking-all",
  "max_tokens": 1024,
  "messages": [
    {
      "role": "user",
      "content": "Who are you?"
    }
  ]
}`)

    req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
    req.Header.Set("Authorization", "YOUR_API_KEY")
    req.Header.Set("anthropic-version", "2023-06-01")
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        panic(err)
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Println(string(body))
}

{
  "error": {
    "type": "authentication_error",
    "message": "Invalid API key"
  }
}

{
  "error": {
    "type": "invalid_request_error",
    "message": "messages: field required"
  }
}

{
  "error": {
    "type": "rate_limit_error",
    "message": "Rate limit exceeded"
  }
}

{
  "error": {
    "type": "api_error",
    "message": "Internal server error"
  }
}

{
  "error": {
    "type": "overloaded_error",
    "message": "Service is temporarily overloaded"
  }
}

Parameters

Parameter	Type	Required	Default	Description
`model`	string	✅ Yes	`claude-3-7-sonnet-thinking-all`	The model to use for the request
`messages`	array	✅ Yes	`[{'role': 'user', 'content': 'Who are you?'}]`	Array of message objects for the conversation. Each message must have a role (user or assistant) and content.
`max_tokens`	integer	✅ Yes	`1024`	The maximum number of tokens to generate before stopping
`temperature`	number	❌ No	`1.0`	Amount of randomness injected into the response. Ranges from 0.0 to 1.0
`top_p`	number	❌ No	`1.0`	Use nucleus sampling. Ranges from 0.0 to 1.0
`top_k`	integer	❌ No	`null`	Only sample from the top K options for each subsequent token
`stream`	boolean	❌ No	`false`	Whether to incrementally stream the response using server-sent events
`stop_sequences`	array	❌ No	-	Custom text sequences that will cause the model to stop generating

Messages Array Structure

Each message object in the messages array should have the following structure:

Field	Type	Required	Description
`role`	string	✅ Yes	The role of the message. Can be: `user`, `assistant`, or `system`
`content`	array/string	✅ Yes	The content of the message

Content Array Structure (when content is an array)

Field	Type	Required	Example	Description
`type`	string	✅ Yes	`text`	The type of content
`text`	string	✅ Yes	`"The positive prompt for the generation."`	The text content when type is `text`

​Parameters

​Messages Array Structure

​Content Array Structure (when content is an array)

Parameters

Messages Array Structure

Content Array Structure (when content is an array)