import requests

url = "https://api.memic.ai/api/v1/chat"

payload = {
    "question": "<string>",
    "project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "file_ids": ["3c90c3cc-0d44-4b50-8888-8dd25736052a"],
    "connector_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "top_k": 5,
    "min_score": 0.2
}
headers = {
    "X-API-Key": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

curl --request POST \
  --url https://api.memic.ai/api/v1/chat \
  --header 'Content-Type: application/json' \
  --header 'X-API-Key: <api-key>' \
  --data '
{
  "question": "<string>",
  "project_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "file_ids": [
    "3c90c3cc-0d44-4b50-8888-8dd25736052a"
  ],
  "connector_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "top_k": 5,
  "min_score": 0.2
}
'

const options = {
  method: 'POST',
  headers: {'X-API-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    question: '<string>',
    project_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    file_ids: ['3c90c3cc-0d44-4b50-8888-8dd25736052a'],
    connector_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    top_k: 5,
    min_score: 0.2
  })
};

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

{
  "question": "<string>",
  "answer": "<string>",
  "search_time_ms": 123,
  "generation_time_ms": 123,
  "model": "<string>",
  "citations": [],
  "total_chunks_used": 0,
  "routing": {
    "route": "<string>",
    "reasoning": "<string>",
    "connector_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "connector_name": "<string>",
    "sql_generated": "<string>",
    "sql_explanation": "<string>"
  },
  "results": {
    "semantic": [],
    "structured": {
      "columns": [],
      "rows": []
    }
  }
}

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