import requests

url = "https://api.parallel.ai/v1beta/chat/completions"

payload = {
    "model": "<string>",
    "messages": [
        {
            "content": "<string>",
            "name": "<string>"
        }
    ]
}
headers = {
    "x-api-key": "<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>', 'Content-Type': 'application/json'},
  body: JSON.stringify({model: '<string>', messages: [{content: '<string>', name: '<string>'}]})
};

fetch('https://api.parallel.ai/v1beta/chat/completions', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

HttpResponse<String> response = Unirest.post("https://api.parallel.ai/v1beta/chat/completions")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"messages\": [\n    {\n      \"content\": \"<string>\",\n      \"name\": \"<string>\"\n    }\n  ]\n}")
  .asString();

curl --request POST \
  --url https://api.parallel.ai/v1beta/chat/completions \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "model": "<string>",
  "messages": [
    {
      "content": "<string>",
      "name": "<string>"
    }
  ]
}
'

{
  "id": "<string>",
  "choices": [
    {
      "delta": {
        "content": "<string>",
        "function_call": {
          "arguments": "<string>",
          "name": "<string>"
        },
        "refusal": "<string>",
        "role": "developer",
        "tool_calls": [
          {
            "index": 123,
            "id": "<string>",
            "function": {
              "arguments": "<string>",
              "name": "<string>"
            },
            "type": "function"
          }
        ]
      },
      "index": 123,
      "finish_reason": "stop",
      "logprobs": {
        "content": [
          {
            "token": "<string>",
            "logprob": 123,
            "top_logprobs": [
              {
                "token": "<string>",
                "logprob": 123,
                "bytes": [
                  123
                ]
              }
            ],
            "bytes": [
              123
            ]
          }
        ],
        "refusal": [
          {
            "token": "<string>",
            "logprob": 123,
            "top_logprobs": [
              {
                "token": "<string>",
                "logprob": 123,
                "bytes": [
                  123
                ]
              }
            ],
            "bytes": [
              123
            ]
          }
        ]
      }
    }
  ],
  "created": 123,
  "model": "<string>",
  "object": "chat.completion",
  "moderation": {
    "input": {
      "model": "<string>",
      "results": [
        {
          "categories": {},
          "category_applied_input_types": {},
          "category_scores": {},
          "flagged": true,
          "model": "<string>",
          "type": "moderation_result"
        }
      ],
      "type": "moderation_results"
    },
    "output": {
      "model": "<string>",
      "results": [
        {
          "categories": {},
          "category_applied_input_types": {},
          "category_scores": {},
          "flagged": true,
          "model": "<string>",
          "type": "moderation_result"
        }
      ],
      "type": "moderation_results"
    }
  },
  "service_tier": "auto",
  "system_fingerprint": "<string>",
  "usage": {
    "completion_tokens": 123,
    "prompt_tokens": 123,
    "total_tokens": 123,
    "completion_tokens_details": {
      "accepted_prediction_tokens": 123,
      "audio_tokens": 123,
      "reasoning_tokens": 123,
      "rejected_prediction_tokens": 123
    },
    "prompt_tokens_details": {
      "audio_tokens": 123,
      "cached_tokens": 123
    }
  },
  "basis": [],
  "interaction_id": "<string>"
}

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