Retrieve a prompt version

curl --request GET \
  --url https://api.orq.ai/v2/prompts/{prompt_id}/versions/{version_id} \
  --header 'Authorization: Bearer <token>'

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.orq.ai/v2/prompts/{prompt_id}/versions/{version_id}', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.orq.ai/v2/prompts/{prompt_id}/versions/{version_id}"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

{
  "_id": "<string>",
  "prompt": {
    "name": "<string>",
    "audio": {},
    "frequency_penalty": 123,
    "max_tokens": 123,
    "max_completion_tokens": 123,
    "logprobs": true,
    "top_logprobs": 10,
    "n": 2,
    "presence_penalty": 123,
    "response_format": {
      "type": "text"
    },
    "verbosity": "<string>",
    "seed": 123,
    "stop": "<string>",
    "stream_options": {
      "include_usage": true
    },
    "thinking": {
      "type": "disabled"
    },
    "temperature": 1,
    "top_p": 0.5,
    "top_k": 123,
    "parallel_tool_calls": true,
    "modalities": [],
    "guardrails": [
      {}
    ],
    "fallbacks": [
      {
        "model": "openai/gpt-4o-mini"
      }
    ],
    "retry": {
      "count": 3,
      "on_codes": [
        429,
        500,
        502,
        503,
        504
      ]
    },
    "cache": {
      "type": "exact_match",
      "ttl": 3600
    },
    "load_balancer": {
      "type": "weight_based",
      "models": [
        {
          "model": "openai/gpt-4o",
          "weight": 0.7
        },
        {
          "model": "anthropic/claude-3-5-sonnet",
          "weight": 0.3
        }
      ]
    },
    "timeout": {
      "call_timeout": 30000
    },
    "cache_control": {
      "type": "ephemeral",
      "ttl": "5m"
    },
    "prompt_cache_key": "<string>",
    "messages": [
      {
        "role": "system",
        "content": "<string>",
        "name": "<string>"
      }
    ],
    "model": "openai/gpt-4o",
    "version": "<string>"
  },
  "timestamp": "<string>",
  "created_by_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "updated_by_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "description": "<string>",
  "prompt_config": {
    "messages": [
      {
        "content": "<string>",
        "tool_calls": [
          {
            "type": "function",
            "function": {
              "name": "<string>",
              "arguments": "<string>"
            },
            "id": "<string>",
            "index": 123
          }
        ],
        "tool_call_id": "<string>"
      }
    ],
    "stream": true,
    "model": "<string>",
    "model_db_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "model_parameters": {
      "temperature": 123,
      "maxTokens": 123,
      "topK": 123,
      "topP": 123,
      "frequencyPenalty": 123,
      "presencePenalty": 123,
      "numImages": 123,
      "seed": 123,
      "dimensions": "<string>",
      "quality": "<string>",
      "style": "<string>",
      "responseFormat": {
        "type": "json_schema",
        "json_schema": {
          "name": "<string>",
          "schema": {},
          "description": "<string>",
          "strict": true
        },
        "display_name": "<string>"
      },
      "cacheControl": {
        "type": "ephemeral",
        "ttl": "5m"
      },
      "budgetTokens": 123
    },
    "integration_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "version": "<string>"
  },
  "metadata": {
    "language": "English"
  }
}

{
  "message": "<string>"
}