Batched grid workflow

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"
}

workflow_config = {
    "name": "Product Review Analysis Grid",
    "description": "Multiple analysts reviewing multiple product categories",
    "agent_completions": [
        {
            "agent_name": "Technical Analyst",
            "description": "Focuses on technical specifications and performance",
            "system_prompt": "You are a technical analyst. Evaluate products based on specifications, performance metrics, build quality, and technical innovation.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.3
        },
        {
            "agent_name": "User Experience Analyst",
            "description": "Focuses on usability and user satisfaction",
            "system_prompt": "You are a UX analyst. Evaluate products based on ease of use, user interface, customer satisfaction, and overall user experience.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.4
        },
        {
            "agent_name": "Value Analyst",
            "description": "Focuses on pricing and value proposition",
            "system_prompt": "You are a value analyst. Evaluate products based on pricing, cost-effectiveness, ROI, and overall value for money.",
            "model_name": "gpt-4o",
            "max_loops": 1,
            "temperature": 0.3
        }
    ],
    "tasks": [
        "Analyze the smartphone market segment and top products",
        "Analyze the laptop market segment and top products",
        "Analyze the tablet market segment and top products"
    ],
    "max_loops": 1
}

response = requests.post(
    f"{API_BASE_URL}/v1/batched-grid-workflow/completions",
    headers=headers,
    json=workflow_config
)

if response.status_code == 200:
    result = response.json()
    print("BatchedGridWorkflow completed successfully!")
    print(f"Job ID: {result['job_id']}")
    print(f"Total cost: ${result['usage']['token_cost']}")
    print(f"Output tokens: {result['usage']['output_tokens']}")

    # Access results by task and agent
    for task_idx, task_results in enumerate(result['outputs']):
        print(f"\nTask {task_idx + 1} results:")
        for agent_name, output in task_results.items():
            print(f"  {agent_name}: {output[:100]}...")
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 workflowConfig = {
    name: "Product Review Analysis Grid",
    description: "Multiple analysts reviewing multiple product categories",
    agent_completions: [
        {
            agent_name: "Technical Analyst",
            description: "Focuses on technical specifications and performance",
            system_prompt: "You are a technical analyst. Evaluate products based on specifications, performance metrics, build quality, and technical innovation.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.3
        },
        {
            agent_name: "User Experience Analyst",
            description: "Focuses on usability and user satisfaction",
            system_prompt: "You are a UX analyst. Evaluate products based on ease of use, user interface, customer satisfaction, and overall user experience.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.4
        },
        {
            agent_name: "Value Analyst",
            description: "Focuses on pricing and value proposition",
            system_prompt: "You are a value analyst. Evaluate products based on pricing, cost-effectiveness, ROI, and overall value for money.",
            model_name: "gpt-4o",
            max_loops: 1,
            temperature: 0.3
        }
    ],
    tasks: [
        "Analyze the smartphone market segment and top products",
        "Analyze the laptop market segment and top products",
        "Analyze the tablet market segment and top products"
    ],
    max_loops: 1
};

fetch(`${API_BASE_URL}/v1/batched-grid-workflow/completions`, {
    method: "POST",
    headers: headers,
    body: JSON.stringify(workflowConfig)
})
.then(response => response.json())
.then(result => {
    if (result.status === "success") {
        console.log("BatchedGridWorkflow completed successfully!");
        console.log(`Job ID: ${result.job_id}`);
        console.log(`Total cost: $${result.usage.token_cost}`);
        console.log(`Output tokens: ${result.usage.output_tokens}`);

        // Access results by task and agent
        result.outputs.forEach((taskResults, taskIdx) => {
            console.log(`\nTask ${taskIdx + 1} results:`);
            for (const [agentName, output] of Object.entries(taskResults)) {
                console.log(`  ${agentName}: ${output.substring(0, 100)}...`);
            }
        });
    }
})
.catch(error => console.error("Error:", error));

package main

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

type AgentSpec 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 WorkflowConfig struct {
    Name              string      `json:"name"`
    Description       string      `json:"description"`
    AgentCompletions  []AgentSpec `json:"agent_completions"`
    Tasks             []string    `json:"tasks"`
    MaxLoops          int         `json:"max_loops"`
}

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

    workflowConfig := WorkflowConfig{
        Name:        "Product Review Analysis Grid",
        Description: "Multiple analysts reviewing multiple product categories",
        AgentCompletions: []AgentSpec{
            {
                AgentName:    "Technical Analyst",
                Description:  "Focuses on technical specifications and performance",
                SystemPrompt: "You are a technical analyst. Evaluate products based on specifications, performance metrics, build quality, and technical innovation.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.3,
            },
            {
                AgentName:    "User Experience Analyst",
                Description:  "Focuses on usability and user satisfaction",
                SystemPrompt: "You are a UX analyst. Evaluate products based on ease of use, user interface, customer satisfaction, and overall user experience.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.4,
            },
            {
                AgentName:    "Value Analyst",
                Description:  "Focuses on pricing and value proposition",
                SystemPrompt: "You are a value analyst. Evaluate products based on pricing, cost-effectiveness, ROI, and overall value for money.",
                ModelName:    "gpt-4o",
                MaxLoops:     1,
                Temperature:  0.3,
            },
        },
        Tasks: []string{
            "Analyze the smartphone market segment and top products",
            "Analyze the laptop market segment and top products",
            "Analyze the tablet market segment and top products",
        },
        MaxLoops: 1,
    }

    jsonData, _ := json.Marshal(workflowConfig)

    req, _ := http.NewRequest("POST", API_BASE_URL+"/v1/batched-grid-workflow/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 workflow_config = json!({
        "name": "Product Review Analysis Grid",
        "description": "Multiple analysts reviewing multiple product categories",
        "agent_completions": [
            {
                "agent_name": "Technical Analyst",
                "description": "Focuses on technical specifications and performance",
                "system_prompt": "You are a technical analyst. Evaluate products based on specifications, performance metrics, build quality, and technical innovation.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.3
            },
            {
                "agent_name": "User Experience Analyst",
                "description": "Focuses on usability and user satisfaction",
                "system_prompt": "You are a UX analyst. Evaluate products based on ease of use, user interface, customer satisfaction, and overall user experience.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.4
            },
            {
                "agent_name": "Value Analyst",
                "description": "Focuses on pricing and value proposition",
                "system_prompt": "You are a value analyst. Evaluate products based on pricing, cost-effectiveness, ROI, and overall value for money.",
                "model_name": "gpt-4o",
                "max_loops": 1,
                "temperature": 0.3
            }
        ],
        "tasks": [
            "Analyze the smartphone market segment and top products",
            "Analyze the laptop market segment and top products",
            "Analyze the tablet market segment and top products"
        ],
        "max_loops": 1
    });

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

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

    Ok(())
}