curl --request POST \
  --url https://api.erdo.ai/v1/workstreams/{workstreamSlug}/recommendations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "action": "<string>",
  "approval_id": "<string>",
  "assignment_phase": "<string>",
  "assignment_slug": "<string>",
  "changed_evidence_reason": "<string>",
  "content": {
    "disproof": "<string>",
    "language": "<string>",
    "maturity": "<string>",
    "next_step": "<string>",
    "property_fit": "<string>",
    "proposed_test_markdown": "<string>",
    "strongest_alternative": "<string>",
    "summary": "<string>",
    "target_market": "<string>",
    "title": "<string>",
    "unknowns": [
      "<string>"
    ],
    "why_now": "<string>"
  },
  "evidence": [
    {
      "checked_at": "2023-11-07T05:31:56Z",
      "published_at": "2023-11-07T05:31:56Z",
      "resource_id": "<string>",
      "resource_type": "<string>",
      "review_status": "<string>",
      "revision_ref": "<string>",
      "source_status": "<string>",
      "summary": "<string>",
      "title": "<string>",
      "url": "<string>",
      "window_end": "2023-11-07T05:31:56Z",
      "window_start": "2023-11-07T05:31:56Z"
    }
  ],
  "execution_workstream_slug": "<string>",
  "expected_revision": 123,
  "experiment_slug": "<string>",
  "measurement_evidence": {
    "checked_at": "2023-11-07T05:31:56Z",
    "published_at": "2023-11-07T05:31:56Z",
    "resource_id": "<string>",
    "resource_type": "<string>",
    "review_status": "<string>",
    "revision_ref": "<string>",
    "source_status": "<string>",
    "summary": "<string>",
    "title": "<string>",
    "url": "<string>",
    "window_end": "2023-11-07T05:31:56Z",
    "window_start": "2023-11-07T05:31:56Z"
  },
  "reason": "<string>",
  "recommendation_slug": "<string>",
  "responsibility_key": "<string>",
  "review_summary": "<string>"
}
'

import requests

url = "https://api.erdo.ai/v1/workstreams/{workstreamSlug}/recommendations"

payload = {
    "action": "<string>",
    "approval_id": "<string>",
    "assignment_phase": "<string>",
    "assignment_slug": "<string>",
    "changed_evidence_reason": "<string>",
    "content": {
        "disproof": "<string>",
        "language": "<string>",
        "maturity": "<string>",
        "next_step": "<string>",
        "property_fit": "<string>",
        "proposed_test_markdown": "<string>",
        "strongest_alternative": "<string>",
        "summary": "<string>",
        "target_market": "<string>",
        "title": "<string>",
        "unknowns": ["<string>"],
        "why_now": "<string>"
    },
    "evidence": [
        {
            "checked_at": "2023-11-07T05:31:56Z",
            "published_at": "2023-11-07T05:31:56Z",
            "resource_id": "<string>",
            "resource_type": "<string>",
            "review_status": "<string>",
            "revision_ref": "<string>",
            "source_status": "<string>",
            "summary": "<string>",
            "title": "<string>",
            "url": "<string>",
            "window_end": "2023-11-07T05:31:56Z",
            "window_start": "2023-11-07T05:31:56Z"
        }
    ],
    "execution_workstream_slug": "<string>",
    "expected_revision": 123,
    "experiment_slug": "<string>",
    "measurement_evidence": {
        "checked_at": "2023-11-07T05:31:56Z",
        "published_at": "2023-11-07T05:31:56Z",
        "resource_id": "<string>",
        "resource_type": "<string>",
        "review_status": "<string>",
        "revision_ref": "<string>",
        "source_status": "<string>",
        "summary": "<string>",
        "title": "<string>",
        "url": "<string>",
        "window_end": "2023-11-07T05:31:56Z",
        "window_start": "2023-11-07T05:31:56Z"
    },
    "reason": "<string>",
    "recommendation_slug": "<string>",
    "responsibility_key": "<string>",
    "review_summary": "<string>"
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    action: '<string>',
    approval_id: '<string>',
    assignment_phase: '<string>',
    assignment_slug: '<string>',
    changed_evidence_reason: '<string>',
    content: {
      disproof: '<string>',
      language: '<string>',
      maturity: '<string>',
      next_step: '<string>',
      property_fit: '<string>',
      proposed_test_markdown: '<string>',
      strongest_alternative: '<string>',
      summary: '<string>',
      target_market: '<string>',
      title: '<string>',
      unknowns: ['<string>'],
      why_now: '<string>'
    },
    evidence: [
      {
        checked_at: '2023-11-07T05:31:56Z',
        published_at: '2023-11-07T05:31:56Z',
        resource_id: '<string>',
        resource_type: '<string>',
        review_status: '<string>',
        revision_ref: '<string>',
        source_status: '<string>',
        summary: '<string>',
        title: '<string>',
        url: '<string>',
        window_end: '2023-11-07T05:31:56Z',
        window_start: '2023-11-07T05:31:56Z'
      }
    ],
    execution_workstream_slug: '<string>',
    expected_revision: 123,
    experiment_slug: '<string>',
    measurement_evidence: {
      checked_at: '2023-11-07T05:31:56Z',
      published_at: '2023-11-07T05:31:56Z',
      resource_id: '<string>',
      resource_type: '<string>',
      review_status: '<string>',
      revision_ref: '<string>',
      source_status: '<string>',
      summary: '<string>',
      title: '<string>',
      url: '<string>',
      window_end: '2023-11-07T05:31:56Z',
      window_start: '2023-11-07T05:31:56Z'
    },
    reason: '<string>',
    recommendation_slug: '<string>',
    responsibility_key: '<string>',
    review_summary: '<string>'
  })
};

fetch('https://api.erdo.ai/v1/workstreams/{workstreamSlug}/recommendations', 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.erdo.ai/v1/workstreams/{workstreamSlug}/recommendations",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'action' => '<string>',
    'approval_id' => '<string>',
    'assignment_phase' => '<string>',
    'assignment_slug' => '<string>',
    'changed_evidence_reason' => '<string>',
    'content' => [
        'disproof' => '<string>',
        'language' => '<string>',
        'maturity' => '<string>',
        'next_step' => '<string>',
        'property_fit' => '<string>',
        'proposed_test_markdown' => '<string>',
        'strongest_alternative' => '<string>',
        'summary' => '<string>',
        'target_market' => '<string>',
        'title' => '<string>',
        'unknowns' => [
                '<string>'
        ],
        'why_now' => '<string>'
    ],
    'evidence' => [
        [
                'checked_at' => '2023-11-07T05:31:56Z',
                'published_at' => '2023-11-07T05:31:56Z',
                'resource_id' => '<string>',
                'resource_type' => '<string>',
                'review_status' => '<string>',
                'revision_ref' => '<string>',
                'source_status' => '<string>',
                'summary' => '<string>',
                'title' => '<string>',
                'url' => '<string>',
                'window_end' => '2023-11-07T05:31:56Z',
                'window_start' => '2023-11-07T05:31:56Z'
        ]
    ],
    'execution_workstream_slug' => '<string>',
    'expected_revision' => 123,
    'experiment_slug' => '<string>',
    'measurement_evidence' => [
        'checked_at' => '2023-11-07T05:31:56Z',
        'published_at' => '2023-11-07T05:31:56Z',
        'resource_id' => '<string>',
        'resource_type' => '<string>',
        'review_status' => '<string>',
        'revision_ref' => '<string>',
        'source_status' => '<string>',
        'summary' => '<string>',
        'title' => '<string>',
        'url' => '<string>',
        'window_end' => '2023-11-07T05:31:56Z',
        'window_start' => '2023-11-07T05:31:56Z'
    ],
    'reason' => '<string>',
    'recommendation_slug' => '<string>',
    'responsibility_key' => '<string>',
    'review_summary' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

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

curl_close($curl);

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

package main

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

func main() {

	url := "https://api.erdo.ai/v1/workstreams/{workstreamSlug}/recommendations"

	payload := strings.NewReader("{\n  \"action\": \"<string>\",\n  \"approval_id\": \"<string>\",\n  \"assignment_phase\": \"<string>\",\n  \"assignment_slug\": \"<string>\",\n  \"changed_evidence_reason\": \"<string>\",\n  \"content\": {\n    \"disproof\": \"<string>\",\n    \"language\": \"<string>\",\n    \"maturity\": \"<string>\",\n    \"next_step\": \"<string>\",\n    \"property_fit\": \"<string>\",\n    \"proposed_test_markdown\": \"<string>\",\n    \"strongest_alternative\": \"<string>\",\n    \"summary\": \"<string>\",\n    \"target_market\": \"<string>\",\n    \"title\": \"<string>\",\n    \"unknowns\": [\n      \"<string>\"\n    ],\n    \"why_now\": \"<string>\"\n  },\n  \"evidence\": [\n    {\n      \"checked_at\": \"2023-11-07T05:31:56Z\",\n      \"published_at\": \"2023-11-07T05:31:56Z\",\n      \"resource_id\": \"<string>\",\n      \"resource_type\": \"<string>\",\n      \"review_status\": \"<string>\",\n      \"revision_ref\": \"<string>\",\n      \"source_status\": \"<string>\",\n      \"summary\": \"<string>\",\n      \"title\": \"<string>\",\n      \"url\": \"<string>\",\n      \"window_end\": \"2023-11-07T05:31:56Z\",\n      \"window_start\": \"2023-11-07T05:31:56Z\"\n    }\n  ],\n  \"execution_workstream_slug\": \"<string>\",\n  \"expected_revision\": 123,\n  \"experiment_slug\": \"<string>\",\n  \"measurement_evidence\": {\n    \"checked_at\": \"2023-11-07T05:31:56Z\",\n    \"published_at\": \"2023-11-07T05:31:56Z\",\n    \"resource_id\": \"<string>\",\n    \"resource_type\": \"<string>\",\n    \"review_status\": \"<string>\",\n    \"revision_ref\": \"<string>\",\n    \"source_status\": \"<string>\",\n    \"summary\": \"<string>\",\n    \"title\": \"<string>\",\n    \"url\": \"<string>\",\n    \"window_end\": \"2023-11-07T05:31:56Z\",\n    \"window_start\": \"2023-11-07T05:31:56Z\"\n  },\n  \"reason\": \"<string>\",\n  \"recommendation_slug\": \"<string>\",\n  \"responsibility_key\": \"<string>\",\n  \"review_summary\": \"<string>\"\n}")

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

	req.Header.Add("Authorization", "Bearer <token>")
	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))

}

HttpResponse<String> response = Unirest.post("https://api.erdo.ai/v1/workstreams/{workstreamSlug}/recommendations")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"action\": \"<string>\",\n  \"approval_id\": \"<string>\",\n  \"assignment_phase\": \"<string>\",\n  \"assignment_slug\": \"<string>\",\n  \"changed_evidence_reason\": \"<string>\",\n  \"content\": {\n    \"disproof\": \"<string>\",\n    \"language\": \"<string>\",\n    \"maturity\": \"<string>\",\n    \"next_step\": \"<string>\",\n    \"property_fit\": \"<string>\",\n    \"proposed_test_markdown\": \"<string>\",\n    \"strongest_alternative\": \"<string>\",\n    \"summary\": \"<string>\",\n    \"target_market\": \"<string>\",\n    \"title\": \"<string>\",\n    \"unknowns\": [\n      \"<string>\"\n    ],\n    \"why_now\": \"<string>\"\n  },\n  \"evidence\": [\n    {\n      \"checked_at\": \"2023-11-07T05:31:56Z\",\n      \"published_at\": \"2023-11-07T05:31:56Z\",\n      \"resource_id\": \"<string>\",\n      \"resource_type\": \"<string>\",\n      \"review_status\": \"<string>\",\n      \"revision_ref\": \"<string>\",\n      \"source_status\": \"<string>\",\n      \"summary\": \"<string>\",\n      \"title\": \"<string>\",\n      \"url\": \"<string>\",\n      \"window_end\": \"2023-11-07T05:31:56Z\",\n      \"window_start\": \"2023-11-07T05:31:56Z\"\n    }\n  ],\n  \"execution_workstream_slug\": \"<string>\",\n  \"expected_revision\": 123,\n  \"experiment_slug\": \"<string>\",\n  \"measurement_evidence\": {\n    \"checked_at\": \"2023-11-07T05:31:56Z\",\n    \"published_at\": \"2023-11-07T05:31:56Z\",\n    \"resource_id\": \"<string>\",\n    \"resource_type\": \"<string>\",\n    \"review_status\": \"<string>\",\n    \"revision_ref\": \"<string>\",\n    \"source_status\": \"<string>\",\n    \"summary\": \"<string>\",\n    \"title\": \"<string>\",\n    \"url\": \"<string>\",\n    \"window_end\": \"2023-11-07T05:31:56Z\",\n    \"window_start\": \"2023-11-07T05:31:56Z\"\n  },\n  \"reason\": \"<string>\",\n  \"recommendation_slug\": \"<string>\",\n  \"responsibility_key\": \"<string>\",\n  \"review_summary\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.erdo.ai/v1/workstreams/{workstreamSlug}/recommendations")

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

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"action\": \"<string>\",\n  \"approval_id\": \"<string>\",\n  \"assignment_phase\": \"<string>\",\n  \"assignment_slug\": \"<string>\",\n  \"changed_evidence_reason\": \"<string>\",\n  \"content\": {\n    \"disproof\": \"<string>\",\n    \"language\": \"<string>\",\n    \"maturity\": \"<string>\",\n    \"next_step\": \"<string>\",\n    \"property_fit\": \"<string>\",\n    \"proposed_test_markdown\": \"<string>\",\n    \"strongest_alternative\": \"<string>\",\n    \"summary\": \"<string>\",\n    \"target_market\": \"<string>\",\n    \"title\": \"<string>\",\n    \"unknowns\": [\n      \"<string>\"\n    ],\n    \"why_now\": \"<string>\"\n  },\n  \"evidence\": [\n    {\n      \"checked_at\": \"2023-11-07T05:31:56Z\",\n      \"published_at\": \"2023-11-07T05:31:56Z\",\n      \"resource_id\": \"<string>\",\n      \"resource_type\": \"<string>\",\n      \"review_status\": \"<string>\",\n      \"revision_ref\": \"<string>\",\n      \"source_status\": \"<string>\",\n      \"summary\": \"<string>\",\n      \"title\": \"<string>\",\n      \"url\": \"<string>\",\n      \"window_end\": \"2023-11-07T05:31:56Z\",\n      \"window_start\": \"2023-11-07T05:31:56Z\"\n    }\n  ],\n  \"execution_workstream_slug\": \"<string>\",\n  \"expected_revision\": 123,\n  \"experiment_slug\": \"<string>\",\n  \"measurement_evidence\": {\n    \"checked_at\": \"2023-11-07T05:31:56Z\",\n    \"published_at\": \"2023-11-07T05:31:56Z\",\n    \"resource_id\": \"<string>\",\n    \"resource_type\": \"<string>\",\n    \"review_status\": \"<string>\",\n    \"revision_ref\": \"<string>\",\n    \"source_status\": \"<string>\",\n    \"summary\": \"<string>\",\n    \"title\": \"<string>\",\n    \"url\": \"<string>\",\n    \"window_end\": \"2023-11-07T05:31:56Z\",\n    \"window_start\": \"2023-11-07T05:31:56Z\"\n  },\n  \"reason\": \"<string>\",\n  \"recommendation_slug\": \"<string>\",\n  \"responsibility_key\": \"<string>\",\n  \"review_summary\": \"<string>\"\n}"

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

{
  "outcome": "<string>",
  "recommendation": {
    "approval_id": "<string>",
    "approval_status": "<string>",
    "approvals": [
      {
        "action": "<string>",
        "executed_at": "2023-11-07T05:31:56Z",
        "execution_status": "<string>",
        "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "status": "<string>"
      }
    ],
    "assignment": {
      "acceptance_criteria": "<string>",
      "adoption_state": "<string>",
      "assigned_agent_key": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "expected_result_kind": "<string>",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "latest_attempt": {
        "affected_output": "<string>",
        "agent_run_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "attempt_number": 123,
        "ended_at": "2023-11-07T05:31:56Z",
        "handles": [
          {
            "resource_id": "<string>",
            "resource_type": "<string>",
            "revision_ref": "<string>"
          }
        ],
        "result_kind": "<string>",
        "state": "<string>",
        "summary": "<string>",
        "terminal_cause": "<string>",
        "terminal_reason": "<string>"
      },
      "objective": "<string>",
      "reason": "<string>",
      "slug": "<string>",
      "work_state": "<string>",
      "work_state_reason": "<string>"
    },
    "content": {
      "disproof": "<string>",
      "language": "<string>",
      "maturity": "<string>",
      "next_step": "<string>",
      "property_fit": "<string>",
      "proposed_test_markdown": "<string>",
      "strongest_alternative": "<string>",
      "summary": "<string>",
      "target_market": "<string>",
      "title": "<string>",
      "unknowns": [
        "<string>"
      ],
      "why_now": "<string>"
    },
    "created_at": "2023-11-07T05:31:56Z",
    "decision": {
      "age_seconds": 123,
      "agent_run_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "alternatives_considered": "<string>",
      "applicability": "<string>",
      "approval_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "authorized_at": "2023-11-07T05:31:56Z",
      "decided_by_name": "<string>",
      "decided_by_user_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "decider_kind": "<string>",
      "decider_rationale": "<string>",
      "decision_class": "<string>",
      "evidence_kind": "<string>",
      "execution_status": "<string>",
      "exit_condition": "<string>",
      "has_pending_effects": true,
      "lapsed": true,
      "outcome_label": "<string>",
      "outcome_status": "<string>",
      "proposed_at": "2023-11-07T05:31:56Z",
      "rejected_at": "2023-11-07T05:31:56Z",
      "review_by": "2023-11-07T05:31:56Z",
      "slug": "<string>",
      "source": "<string>",
      "status": "<string>",
      "subject_kind": "<string>",
      "subject_label": "<string>",
      "superseded_by_decision_slug": "<string>",
      "supersedes_decision_slug": "<string>",
      "what": "<string>",
      "why": "<string>",
      "workstream_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a"
    },
    "evidence": [
      {
        "checked_at": "2023-11-07T05:31:56Z",
        "published_at": "2023-11-07T05:31:56Z",
        "resource_id": "<string>",
        "resource_type": "<string>",
        "review_status": "<string>",
        "revision_ref": "<string>",
        "source_status": "<string>",
        "summary": "<string>",
        "title": "<string>",
        "url": "<string>",
        "window_end": "2023-11-07T05:31:56Z",
        "window_start": "2023-11-07T05:31:56Z"
      }
    ],
    "execution_assignment": {
      "acceptance_criteria": "<string>",
      "adoption_state": "<string>",
      "assigned_agent_key": "<string>",
      "created_at": "2023-11-07T05:31:56Z",
      "expected_result_kind": "<string>",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "latest_attempt": {
        "affected_output": "<string>",
        "agent_run_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
        "attempt_number": 123,
        "ended_at": "2023-11-07T05:31:56Z",
        "handles": [
          {
            "resource_id": "<string>",
            "resource_type": "<string>",
            "revision_ref": "<string>"
          }
        ],
        "result_kind": "<string>",
        "state": "<string>",
        "summary": "<string>",
        "terminal_cause": "<string>",
        "terminal_reason": "<string>"
      },
      "objective": "<string>",
      "reason": "<string>",
      "slug": "<string>",
      "work_state": "<string>",
      "work_state_reason": "<string>"
    },
    "execution_assignment_slug": "<string>",
    "execution_dispatch_key": "<string>",
    "execution_generation": 123,
    "execution_status": "<string>",
    "execution_workstream_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "experiment": {
      "created_at": "2023-11-07T05:31:56Z",
      "decided_at": "2023-11-07T05:31:56Z",
      "decision": "<string>",
      "decision_rule_markdown": "<string>",
      "guardrail_metrics": [
        "<string>"
      ],
      "hypothesis_markdown": "<string>",
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "organization_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "outcome_markdown": "<string>",
      "primary_metric": "<string>",
      "primary_thread_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "scope": "<string>",
      "slug": "<string>",
      "started_at": "2023-11-07T05:31:56Z",
      "status": "<string>",
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