curl --request POST \
  --url https://api.eqho.ai/v1/simulation \
  --header 'Content-Type: application/json' \
  --header 'X-API-KEY: <api-key>' \
  --header 'x-org-id: <api-key>' \
  --data '
{
  "agent_id": "<string>",
  "scenario_ids": [
    "<string>"
  ],
  "scenario_set_id": "<string>",
  "simulated_lead_llm_args": {
    "ai_model": "<string>",
    "frequency_penalty": 123,
    "max_tokens": 123,
    "presence_penalty": 123,
    "temperature": 123
  },
  "num_trials": 1,
  "max_steps": 100,
  "max_errors": 5
}
'

import requests

url = "https://api.eqho.ai/v1/simulation"

payload = {
    "agent_id": "<string>",
    "scenario_ids": ["<string>"],
    "scenario_set_id": "<string>",
    "simulated_lead_llm_args": {
        "ai_model": "<string>",
        "frequency_penalty": 123,
        "max_tokens": 123,
        "presence_penalty": 123,
        "temperature": 123
    },
    "num_trials": 1,
    "max_steps": 100,
    "max_errors": 5
}
headers = {
    "X-API-KEY": "<api-key>",
    "x-org-id": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {
    'X-API-KEY': '<api-key>',
    'x-org-id': '<api-key>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    agent_id: '<string>',
    scenario_ids: ['<string>'],
    scenario_set_id: '<string>',
    simulated_lead_llm_args: {
      ai_model: '<string>',
      frequency_penalty: 123,
      max_tokens: 123,
      presence_penalty: 123,
      temperature: 123
    },
    num_trials: 1,
    max_steps: 100,
    max_errors: 5
  })
};

fetch('https://api.eqho.ai/v1/simulation', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

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

func main() {

	url := "https://api.eqho.ai/v1/simulation"

	payload := strings.NewReader("{\n  \"agent_id\": \"<string>\",\n  \"scenario_ids\": [\n    \"<string>\"\n  ],\n  \"scenario_set_id\": \"<string>\",\n  \"simulated_lead_llm_args\": {\n    \"ai_model\": \"<string>\",\n    \"frequency_penalty\": 123,\n    \"max_tokens\": 123,\n    \"presence_penalty\": 123,\n    \"temperature\": 123\n  },\n  \"num_trials\": 1,\n  \"max_steps\": 100,\n  \"max_errors\": 5\n}")

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

	req.Header.Add("X-API-KEY", "<api-key>")
	req.Header.Add("x-org-id", "<api-key>")
	req.Header.Add("Content-Type", "application/json")

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

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

	fmt.Println(string(body))

}

{
  "_id": "<string>",
  "account_id": "<string>",
  "agent_id": "<string>",
  "scenario_ids": [
    "<string>"
  ],
  "info": {
    "num_trials": 123,
    "max_steps": 123,
    "max_errors": 123,
    "agent_info": {
      "agent_id": "<string>",
      "ai_settings": {
        "ai_model": "<string>",
        "frequency_penalty": 123,
        "max_tokens": 123,
        "presence_penalty": 123,
        "temperature": 123,
        "reasoning": "none"
      }
    },
    "simulated_lead_info": {
      "ai_settings": {
        "ai_model": "<string>",
        "frequency_penalty": 123,
        "max_tokens": 123,
        "presence_penalty": 123,
        "temperature": 123,
        "reasoning": "none"
      }
    }
  },
  "total_runs": 123,
  "scenario_set_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "completed_at": "2023-11-07T05:31:56Z",
  "completed_runs": 0,
  "final_score": 123,
  "pass_hat_ks": {},
  "avg_agent_cost": 123
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}