Mixture of agents

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": "Comprehensive Market Analysis",
    "description": "Multi-perspective market analysis combining various expert viewpoints",
    "swarm_type": "MixtureOfAgents",
    "task": "Analyze the current state and future prospects of the electric vehicle market from multiple perspectives",
    "agents": [
        {
            "agent_name": "Technology Analyst",
            "description": "Analyzes technological trends and innovations",
            "system_prompt": "You are a technology analyst specializing in automotive and battery technologies. Focus on technological advancements, innovation trends, and technical challenges in the EV market.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.3
        },
        {
            "agent_name": "Economic Analyst",
            "description": "Analyzes market economics and financial aspects",
            "system_prompt": "You are an economic analyst specializing in automotive markets. Focus on market economics, pricing trends, cost analysis, and financial viability of EV adoption.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.3
        },
        {
            "agent_name": "Environmental Specialist",
            "description": "Analyzes environmental impact and sustainability",
            "system_prompt": "You are an environmental specialist focusing on sustainability. Analyze the environmental impact of EVs, lifecycle analysis, and sustainability benefits compared to traditional vehicles.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.3
        },
        {
            "agent_name": "Policy Expert",
            "description": "Analyzes regulatory and policy landscape",
            "system_prompt": "You are a policy expert specializing in automotive regulations. Focus on government policies, incentives, regulatory requirements, and policy trends affecting the EV market.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.3
        }
    ],
    "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("MixtureOfAgents swarm completed successfully!")
    print(f"Cost: ${result['metadata']['billing_info']['total_cost']}")
    print(f"Execution time: {result['metadata']['execution_time_seconds']} seconds")
    print(f"Collaborative 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: "Comprehensive Market Analysis",
    description: "Multi-perspective market analysis combining various expert viewpoints",
    swarm_type: "MixtureOfAgents",
    task: "Analyze the current state and future prospects of the electric vehicle market from multiple perspectives",
    agents: [
        {
            agent_name: "Technology Analyst",
            description: "Analyzes technological trends and innovations",
            system_prompt: "You are a technology analyst specializing in automotive and battery technologies. Focus on technological advancements, innovation trends, and technical challenges in the EV market.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.3
        },
        {
            agent_name: "Economic Analyst",
            description: "Analyzes market economics and financial aspects",
            system_prompt: "You are an economic analyst specializing in automotive markets. Focus on market economics, pricing trends, cost analysis, and financial viability of EV adoption.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.3
        },
        {
            agent_name: "Environmental Specialist",
            description: "Analyzes environmental impact and sustainability",
            system_prompt: "You are an environmental specialist focusing on sustainability. Analyze the environmental impact of EVs, lifecycle analysis, and sustainability benefits compared to traditional vehicles.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.3
        },
        {
            agent_name: "Policy Expert",
            description: "Analyzes regulatory and policy landscape",
            system_prompt: "You are a policy expert specializing in automotive regulations. Focus on government policies, incentives, regulatory requirements, and policy trends affecting the EV market.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.3
        }
    ],
    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("MixtureOfAgents swarm completed successfully!");
        console.log(`Cost: $${result.metadata.billing_info.total_cost}`);
        console.log(`Execution time: ${result.metadata.execution_time_seconds} seconds`);
        console.log("Collaborative 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:        "Comprehensive Market Analysis",
        Description: "Multi-perspective market analysis combining various expert viewpoints",
        SwarmType:   "MixtureOfAgents",
        Task:        "Analyze the current state and future prospects of the electric vehicle market from multiple perspectives",
        Agents: []Agent{
            {
                AgentName:    "Technology Analyst",
                Description:  "Analyzes technological trends and innovations",
                SystemPrompt: "You are a technology analyst specializing in automotive and battery technologies. Focus on technological advancements, innovation trends, and technical challenges in the EV market.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.3,
            },
            {
                AgentName:    "Economic Analyst",
                Description:  "Analyzes market economics and financial aspects",
                SystemPrompt: "You are an economic analyst specializing in automotive markets. Focus on market economics, pricing trends, cost analysis, and financial viability of EV adoption.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.3,
            },
            {
                AgentName:    "Environmental Specialist",
                Description:  "Analyzes environmental impact and sustainability",
                SystemPrompt: "You are an environmental specialist focusing on sustainability. Analyze the environmental impact of EVs, lifecycle analysis, and sustainability benefits compared to traditional vehicles.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.3,
            },
            {
                AgentName:    "Policy Expert",
                Description:  "Analyzes regulatory and policy landscape",
                SystemPrompt: "You are a policy expert specializing in automotive regulations. Focus on government policies, incentives, regulatory requirements, and policy trends affecting the EV market.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.3,
            },
        },
        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": "Comprehensive Market Analysis",
        "description": "Multi-perspective market analysis combining various expert viewpoints",
        "swarm_type": "MixtureOfAgents",
        "task": "Analyze the current state and future prospects of the electric vehicle market from multiple perspectives",
        "agents": [
            {
                "agent_name": "Technology Analyst",
                "description": "Analyzes technological trends and innovations",
                "system_prompt": "You are a technology analyst specializing in automotive and battery technologies. Focus on technological advancements, innovation trends, and technical challenges in the EV market.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.3
            },
            {
                "agent_name": "Economic Analyst",
                "description": "Analyzes market economics and financial aspects",
                "system_prompt": "You are an economic analyst specializing in automotive markets. Focus on market economics, pricing trends, cost analysis, and financial viability of EV adoption.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.3
            },
            {
                "agent_name": "Environmental Specialist",
                "description": "Analyzes environmental impact and sustainability",
                "system_prompt": "You are an environmental specialist focusing on sustainability. Analyze the environmental impact of EVs, lifecycle analysis, and sustainability benefits compared to traditional vehicles.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.3
            },
            {
                "agent_name": "Policy Expert",
                "description": "Analyzes regulatory and policy landscape",
                "system_prompt": "You are a policy expert specializing in automotive regulations. Focus on government policies, incentives, regulatory requirements, and policy trends affecting the EV market.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.3
            }
        ],
        "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!("MixtureOfAgents swarm completed successfully!");
        println!("Response: {:?}", result);
    } else {
        println!("Error: {}", response.status());
    }

    Ok(())
}