Agent rearrange

import requests
import json

API_BASE_URL = "https://api.swarms.world"
API_KEY = "your_api_key_here"

headers = {
    "x-api-key": API_KEY,
    "Content-Type": "application/json"
}

swarm_config = {
    "name": "Adaptive Content Creation",
    "description": "Dynamic content creation with flexible agent role assignment",
    "swarm_type": "AgentRearrange",
    "task": "Create a comprehensive technical blog post about machine learning in finance, with the ability to reassign agent roles based on content needs",
    "agents": [
        {
            "agent_name": "Research Specialist",
            "description": "Conducts research and gathers information",
            "system_prompt": "You are a research specialist. Gather comprehensive information on machine learning applications in finance, including current trends, use cases, and future prospects.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.3
        },
        {
            "agent_name": "Technical Writer",
            "description": "Creates technical content and explanations",
            "system_prompt": "You are a technical writer specializing in machine learning and finance. Create clear, engaging technical content that explains complex concepts in accessible terms.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.5
        },
        {
            "agent_name": "Finance Expert",
            "description": "Provides financial domain expertise",
            "system_prompt": "You are a finance expert with knowledge of machine learning applications. Ensure accuracy in financial concepts, market analysis, and industry insights.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.3
        },
        {
            "agent_name": "Editor",
            "description": "Reviews and polishes content",
            "system_prompt": "You are a professional editor. Review content for clarity, flow, accuracy, and overall quality. Make improvements while maintaining technical accuracy.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.4
        }
    ],
    "max_loops": 1
}

response = requests.post(
    f"{API_BASE_URL}/v1/swarm/completions",
    headers=headers,
    json=swarm_config
)

if response.status_code == 200:
    result = response.json()
    print("AgentRearrange swarm completed successfully!")
    print(f"Cost: ${result['metadata']['billing_info']['total_cost']}")
    print(f"Execution time: {result['metadata']['execution_time_seconds']} seconds")
    print(f"Dynamic results: {result['output']}")
else:
    print(f"Error: {response.status_code} - {response.text}")

const API_BASE_URL = "https://api.swarms.world";
const API_KEY = "your_api_key_here";

const headers = {
    "x-api-key": API_KEY,
    "Content-Type": "application/json"
};

const swarmConfig = {
    name: "Adaptive Content Creation",
    description: "Dynamic content creation with flexible agent role assignment",
    swarm_type: "AgentRearrange",
    task: "Create a comprehensive technical blog post about machine learning in finance, with the ability to reassign agent roles based on content needs",
    agents: [
        {
            agent_name: "Research Specialist",
            description: "Conducts research and gathers information",
            system_prompt: "You are a research specialist. Gather comprehensive information on machine learning applications in finance, including current trends, use cases, and future prospects.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.3
        },
        {
            agent_name: "Technical Writer",
            description: "Creates technical content and explanations",
            system_prompt: "You are a technical writer specializing in machine learning and finance. Create clear, engaging technical content that explains complex concepts in accessible terms.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.5
        },
        {
            agent_name: "Finance Expert",
            description: "Provides financial domain expertise",
            system_prompt: "You are a finance expert with knowledge of machine learning applications. Ensure accuracy in financial concepts, market analysis, and industry insights.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.3
        },
        {
            agent_name: "Editor",
            description: "Reviews and polishes content",
            system_prompt: "You are a professional editor. Review content for clarity, flow, accuracy, and overall quality. Make improvements while maintaining technical accuracy.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.4
        }
    ],
    max_loops: 1
};

fetch(`${API_BASE_URL}/v1/swarm/completions`, {
    method: "POST",
    headers: headers,
    body: JSON.stringify(swarmConfig)
})
.then(response => response.json())
.then(result => {
    if (result.status === "success") {
        console.log("AgentRearrange swarm completed successfully!");
        console.log(`Cost: $${result.metadata.billing_info.total_cost}`);
        console.log(`Execution time: ${result.metadata.execution_time_seconds} seconds`);
        console.log("Dynamic results:", result.output);
    }
})
.catch(error => console.error("Error:", error));

package main

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

type Agent struct {
    AgentName    string  `json:"agent_name"`
    Description  string  `json:"description"`
    SystemPrompt string  `json:"system_prompt"`
    ModelName    string  `json:"model_name"`
    MaxLoops     int     `json:"max_loops"`
    Temperature  float64 `json:"temperature"`
}

type SwarmConfig struct {
    Name        string   `json:"name"`
    Description string   `json:"description"`
    SwarmType   string   `json:"swarm_type"`
    Task        string   `json:"task"`
    Agents      []Agent  `json:"agents"`
    MaxLoops    int      `json:"max_loops"`
}

func main() {
    API_BASE_URL := "https://api.swarms.world"
    API_KEY := "your_api_key_here"

    swarmConfig := SwarmConfig{
        Name:        "Adaptive Content Creation",
        Description: "Dynamic content creation with flexible agent role assignment",
        SwarmType:   "AgentRearrange",
        Task:        "Create a comprehensive technical blog post about machine learning in finance, with the ability to reassign agent roles based on content needs",
        Agents: []Agent{
            {
                AgentName:    "Research Specialist",
                Description:  "Conducts research and gathers information",
                SystemPrompt: "You are a research specialist. Gather comprehensive information on machine learning applications in finance, including current trends, use cases, and future prospects.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.3,
            },
            {
                AgentName:    "Technical Writer",
                Description:  "Creates technical content and explanations",
                SystemPrompt: "You are a technical writer specializing in machine learning and finance. Create clear, engaging technical content that explains complex concepts in accessible terms.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.5,
            },
            {
                AgentName:    "Finance Expert",
                Description:  "Provides financial domain expertise",
                SystemPrompt: "You are a finance expert with knowledge of machine learning applications. Ensure accuracy in financial concepts, market analysis, and industry insights.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.3,
            },
            {
                AgentName:    "Editor",
                Description:  "Reviews and polishes content",
                SystemPrompt: "You are a professional editor. Review content for clarity, flow, accuracy, and overall quality. Make improvements while maintaining technical accuracy.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.4,
            },
        },
        MaxLoops: 1,
    }

    jsonData, _ := json.Marshal(swarmConfig)
    
    req, _ := http.NewRequest("POST", API_BASE_URL+"/v1/swarm/completions", bytes.NewBuffer(jsonData))
    req.Header.Set("x-api-key", API_KEY)
    req.Header.Set("Content-Type", "application/json")

    client := &http.Client{}
    resp, err := client.Do(req)
    if err != nil {
        fmt.Printf("Error: %v\n", err)
        return
    }
    defer resp.Body.Close()

    body, _ := ioutil.ReadAll(resp.Body)
    fmt.Printf("Response: %s\n", string(body))
}

use reqwest::Client;
use serde_json::{json, Value};
use std::error::Error;

#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
    let api_base_url = "https://api.swarms.world";
    let api_key = "your_api_key_here";

    let swarm_config = json!({
        "name": "Adaptive Content Creation",
        "description": "Dynamic content creation with flexible agent role assignment",
        "swarm_type": "AgentRearrange",
        "task": "Create a comprehensive technical blog post about machine learning in finance, with the ability to reassign agent roles based on content needs",
        "agents": [
            {
                "agent_name": "Research Specialist",
                "description": "Conducts research and gathers information",
                "system_prompt": "You are a research specialist. Gather comprehensive information on machine learning applications in finance, including current trends, use cases, and future prospects.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.3
            },
            {
                "agent_name": "Technical Writer",
                "description": "Creates technical content and explanations",
                "system_prompt": "You are a technical writer specializing in machine learning and finance. Create clear, engaging technical content that explains complex concepts in accessible terms.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.5
            },
            {
                "agent_name": "Finance Expert",
                "description": "Provides financial domain expertise",
                "system_prompt": "You are a finance expert with knowledge of machine learning applications. Ensure accuracy in financial concepts, market analysis, and industry insights.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.3
            },
            {
                "agent_name": "Editor",
                "description": "Reviews and polishes content",
                "system_prompt": "You are a professional editor. Review content for clarity, flow, accuracy, and overall quality. Make improvements while maintaining technical accuracy.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.4
            }
        ],
        "max_loops": 1
    });

    let client = Client::new();
    let response = client
        .post(&format!("{}/v1/swarm/completions", api_base_url))
        .header("x-api-key", api_key)
        .header("Content-Type", "application/json")
        .json(&swarm_config)
        .send()
        .await?;

    if response.status().is_success() {
        let result: Value = response.json().await?;
        println!("AgentRearrange swarm completed successfully!");
        println!("Response: {:?}", result);
    } else {
        println!("Error: {}", response.status());
    }

    Ok(())
}