{"info":{"_postman_id":"4e4415fb-098b-4af2-be52-ade8ee344562","name":"Straico - API","description":"<html><head></head><body><p>The <strong>Straico API</strong> utilizes <strong>API keys</strong> for authentication. Please visit <a href=\"https://platform.straico.com/user-settings\">API Key page</a> in My profile section to obtain the <strong>API key</strong> required for your requests.</p>\n<p>Remember, it is essential to keep your API key confidential. Avoid sharing it with others or embedding it in any client-side code like browsers or apps. For secure handling, all production requests should be directed through your backend server, where the API key can be securely fetched from an environment variable or key management service.</p>\n<p>Every API request must include your API key in an Authorization HTTP header in the following manner:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-bash\">Authorization: Bearer $STRAICO_API_KEY\n\n</code></pre>\n</body></html>","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json","toc":[],"owner":"5900072","collectionId":"4e4415fb-098b-4af2-be52-ade8ee344562","publishedId":"2s9YyzddrR","public":true,"customColor":{"top-bar":"FFFFFF","right-sidebar":"303030","highlight":"FF6C37"},"publishDate":"2025-01-15T02:02:10.000Z"},"item":[{"name":"User","item":[{"name":"User information","id":"178d106d-1df2-4459-8206-2a69ddf2d84a","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.straico.com/v0/user","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint allows users to fetch details of a specific user from the Straico platform. Users can access information such as the user's first name, last name, the number of coins associated with the account, and the plan they are subscribed to.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li>Authorization: <code>Bearer $STRAICO_API_KEY</code></li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<p>This endpoint does not require any parameters.</p>\n<h2 id=\"response\">Response</h2>\n<p>The API responds with a JSON object containing the user's data under the \"data\" key.</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>first_name</code></td>\n<td>string</td>\n<td>The user's first name</td>\n</tr>\n<tr>\n<td><code>last_name</code></td>\n<td>string</td>\n<td>The user's last name</td>\n</tr>\n<tr>\n<td><code>coins</code></td>\n<td>number</td>\n<td>The number of coins associated with the account</td>\n</tr>\n<tr>\n<td><code>plan</code></td>\n<td>string</td>\n<td>The current subscription plan of the user</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v0","user"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"0817fdd5-c577-428b-a2e7-2cb5ecc25ddd","name":"User information","originalRequest":{"method":"GET","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"url":"https://api.straico.com/v0/user"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json"}],"cookie":[],"responseTime":null,"body":"{\n    \"data\": {\n        \"first_name\": \"Jane\",\n        \"last_name\": \"Doe\",\n        \"coins\": 562621.19,\n        \"plan\": \"Ultimate Pack\"\n    },\n    \"success\": true\n}"}],"_postman_id":"178d106d-1df2-4459-8206-2a69ddf2d84a"}],"id":"637e352f-3c50-4255-91d1-448d56a74b89","_postman_id":"637e352f-3c50-4255-91d1-448d56a74b89","description":""},{"name":"Model","item":[{"name":"Models information (v.0)","id":"2c432a61-9d84-4edb-b234-06bb15e4ca16","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"body":{"mode":"urlencoded","urlencoded":[]},"url":"https://api.straico.com/v0/models","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint provides users with a comprehensive list of available language models and their associated details within the Straico API ecosystem. By querying this endpoint, users can access up-to-date information about various models and their associated pricing</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li>Authorization: <code>Bearer $STRAICO_API_KEY</code></li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<p>This endpoint does not require any parameters.</p>\n<h2 id=\"response\">Response</h2>\n<p>The API responds with a JSON object containing an array of model objects. Each model object includes the following information:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>string</td>\n<td>Model display name</td>\n</tr>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>Unique model identifier for API usage</td>\n</tr>\n<tr>\n<td><code>pricing</code></td>\n<td>object</td>\n<td>Pricing information, detailing the cost in coins per specified number of words</td>\n</tr>\n<tr>\n<td><code>max_output</code></td>\n<td>number</td>\n<td>Limit number of tokens (roughly words or word pieces) that can be generated in a single response</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v0","models"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"0c50522b-0912-4937-8f6d-86fb54baf7a0","name":"Models information (v.0)","originalRequest":{"method":"GET","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"url":"https://api.straico.com/v0/models"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 10 Oct 2024 00:26:31 GMT"},{"key":"Server","value":"Apache/2.4.52 (Ubuntu)"},{"key":"Content-Security-Policy","value":"default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"},{"key":"Cross-Origin-Resource-Policy","value":"same-origin"},{"key":"Origin-Agent-Cluster","value":"?1"},{"key":"Referrer-Policy","value":"no-referrer"},{"key":"Strict-Transport-Security","value":"max-age=15552000; includeSubDomains"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"X-DNS-Prefetch-Control","value":"off"},{"key":"X-Download-Options","value":"noopen"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"X-Permitted-Cross-Domain-Policies","value":"none"},{"key":"X-XSS-Protection","value":"0"},{"key":"Access-Control-Allow-Origin","value":"*"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Content-Length","value":"4387"},{"key":"ETag","value":"W/\"1123-UNnr/8I1b8csFituBcYcaoYPj3g\""},{"key":"Via","value":"1.1 api.straico.com (Apache/2.4.52)"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"}],"cookie":[],"responseTime":null,"body":"{\n    \"data\": [\n        {\n            \"name\": \"Anthropic: Claude 3 Haiku\",\n            \"model\": \"anthropic/claude-3-haiku:beta\",\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"Anthropic: Claude 3 Opus\",\n            \"model\": \"anthropic/claude-3-opus\",\n            \"pricing\": {\n                \"coins\": 24,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"Anthropic: Claude 3 Sonnet\",\n            \"model\": \"anthropic/claude-3-sonnet\",\n            \"pricing\": {\n                \"coins\": 5,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"Anthropic: Claude 3.5 Sonnet\",\n            \"model\": \"anthropic/claude-3.5-sonnet\",\n            \"pricing\": {\n                \"coins\": 5,\n                \"words\": 100\n            },\n            \"max_output\": 8192\n        },\n        {\n            \"name\": \"Cohere: Command R (08-2024)\",\n            \"model\": \"cohere/command-r-08-2024\",\n            \"pricing\": {\n                \"coins\": 0.2,\n                \"words\": 100\n            },\n            \"max_output\": 4000\n        },\n        {\n            \"name\": \"Cohere: Command R+ (08-2024)\",\n            \"model\": \"cohere/command-r-plus-08-2024\",\n            \"pricing\": {\n                \"coins\": 3.4,\n                \"words\": 100\n            },\n            \"max_output\": 4000\n        },\n        {\n            \"name\": \"Dolphin 2.6 Mixtral 8x7B\",\n            \"model\": \"cognitivecomputations/dolphin-mixtral-8x7b\",\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 32768\n        },\n        {\n            \"name\": \"Goliath 120B\",\n            \"model\": \"alpindale/goliath-120b\",\n            \"pricing\": {\n                \"coins\": 5,\n                \"words\": 100\n            },\n            \"max_output\": 400\n        },\n        {\n            \"name\": \"Google: Gemini Pro 1.5\",\n            \"model\": \"google/gemini-pro-1.5\",\n            \"pricing\": {\n                \"coins\": 3.7,\n                \"words\": 100\n            },\n            \"max_output\": 8192\n        },\n        {\n            \"name\": \"Google: Gemma 2 27B\",\n            \"model\": \"google/gemma-2-27b-it\",\n            \"pricing\": {\n                \"coins\": 0.4,\n                \"words\": 100\n            },\n            \"max_output\": 8192\n        },\n        {\n            \"name\": \"Gryphe: MythoMax L2 13B 8k\",\n            \"model\": \"gryphe/mythomax-l2-13b\",\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"Meta: Llama 3 70B Instruct (nitro)\",\n            \"model\": \"meta-llama/llama-3-70b-instruct:nitro\",\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 8192\n        },\n        {\n            \"name\": \"Meta: Llama 3 8B Instruct\",\n            \"model\": \"meta-llama/llama-3-8b-instruct\",\n            \"pricing\": {\n                \"coins\": 0.5,\n                \"words\": 100\n            },\n            \"max_output\": 8192\n        },\n        {\n            \"name\": \"Meta: Llama 3.1 405B Instruct\",\n            \"model\": \"meta-llama/llama-3.1-405b-instruct\",\n            \"pricing\": {\n                \"coins\": 1.6,\n                \"words\": 100\n            },\n            \"max_output\": 32768\n        },\n        {\n            \"name\": \"Meta: Llama 3.1 70B Instruct\",\n            \"model\": \"meta-llama/llama-3.1-70b-instruct\",\n            \"pricing\": {\n                \"coins\": 0.7,\n                \"words\": 100\n            },\n            \"max_output\": 32768\n        },\n        {\n            \"name\": \"Mistral: Codestral Mamba\",\n            \"model\": \"mistralai/codestral-mamba\",\n            \"pricing\": {\n                \"coins\": 0.2,\n                \"words\": 100\n            },\n            \"max_output\": 256000\n        },\n        {\n            \"name\": \"Mistral: Large\",\n            \"model\": \"mistralai/mistral-large\",\n            \"pricing\": {\n                \"coins\": 3,\n                \"words\": 100\n            },\n            \"max_output\": 128000\n        },\n        {\n            \"name\": \"Mistral: Mixtral 8x7B\",\n            \"model\": \"mistralai/mixtral-8x7b-instruct\",\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 32768\n        },\n        {\n            \"name\": \"Nous: Hermes 3 405B Instruct\",\n            \"model\": \"nousresearch/hermes-3-llama-3.1-405b\",\n            \"pricing\": {\n                \"coins\": 0.3,\n                \"words\": 100\n            },\n            \"max_output\": 18000\n        },\n        {\n            \"name\": \"OpenAI: GPT-3.5 Turbo 16k\",\n            \"model\": \"openai/gpt-3.5-turbo-0125\",\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"OpenAI: GPT-4\",\n            \"model\": \"openai/gpt-4\",\n            \"pricing\": {\n                \"coins\": 20,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"OpenAI: GPT-4 Turbo 128k\",\n            \"model\": \"openai/gpt-4-turbo-2024-04-09\",\n            \"pricing\": {\n                \"coins\": 8,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"OpenAI: GPT-4 Vision\",\n            \"model\": \"openai/gpt-4-vision-preview\",\n            \"pricing\": {\n                \"coins\": 10,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"OpenAI: GPT-4o - New (Aug-06)\",\n            \"model\": \"openai/gpt-4o-2024-08-06\",\n            \"pricing\": {\n                \"coins\": 3,\n                \"words\": 100\n            },\n            \"max_output\": 16384\n        },\n        {\n            \"name\": \"OpenAI: GPT-4o - Old\",\n            \"model\": \"openai/gpt-4o\",\n            \"pricing\": {\n                \"coins\": 4,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"OpenAI: GPT-4o mini\",\n            \"model\": \"openai/gpt-4o-mini\",\n            \"pricing\": {\n                \"coins\": 0.4,\n                \"words\": 100\n            },\n            \"max_output\": 16384\n        },\n        {\n            \"name\": \"OpenAI: o1-mini (Beta)\",\n            \"model\": \"openai/o1-mini\",\n            \"pricing\": {\n                \"coins\": 4,\n                \"words\": 100\n            },\n            \"max_output\": 65536\n        },\n        {\n            \"name\": \"OpenAI: o1-preview (Beta)\",\n            \"model\": \"openai/o1-preview\",\n            \"pricing\": {\n                \"coins\": 20,\n                \"words\": 100\n            },\n            \"max_output\": 32768\n        },\n        {\n            \"name\": \"Perplexity: Llama 3.1 Sonar 405B Online\",\n            \"model\": \"perplexity/llama-3.1-sonar-huge-128k-online\",\n            \"pricing\": {\n                \"coins\": 2.7,\n                \"words\": 100\n            },\n            \"max_output\": 127072\n        },\n        {\n            \"name\": \"Perplexity: Llama 3.1 Sonar 70B Online\",\n            \"model\": \"perplexity/llama-3.1-sonar-large-128k-online\",\n            \"pricing\": {\n                \"coins\": 0.6,\n                \"words\": 100\n            },\n            \"max_output\": 127072\n        },\n        {\n            \"name\": \"Perplexity: Llama 3.1 Sonar 8B Online\",\n            \"model\": \"perplexity/llama-3.1-sonar-small-128k-online\",\n            \"pricing\": {\n                \"coins\": 0.2,\n                \"words\": 100\n            },\n            \"max_output\": 127072\n        },\n        {\n            \"name\": \"Qwen 2 72B Instruct\",\n            \"model\": \"qwen/qwen-2-72b-instruct\",\n            \"pricing\": {\n                \"coins\": 0.5,\n                \"words\": 100\n            },\n            \"max_output\": 32768\n        },\n        {\n            \"name\": \"Qwen2-VL 72B Instruct\",\n            \"model\": \"qwen/qwen-2-vl-72b-instruct\",\n            \"pricing\": {\n                \"coins\": 0.2,\n                \"words\": 100\n            },\n            \"max_output\": 4096\n        },\n        {\n            \"name\": \"Qwen2.5 72B Instruct\",\n            \"model\": \"qwen/qwen-2.5-72b-instruct\",\n            \"pricing\": {\n                \"coins\": 0.2,\n                \"words\": 100\n            },\n            \"max_output\": 32768\n        }\n    ],\n    \"success\": true\n}"}],"_postman_id":"2c432a61-9d84-4edb-b234-06bb15e4ca16"},{"name":"Models information (v.1)","id":"c728ef80-4824-4dbd-9da4-2ac335194a96","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"body":{"mode":"urlencoded","urlencoded":[]},"url":"https://api.straico.com/v1/models","description":"<p>The models information endpoint (v.1) allows users to fetch a list of available models, categorized by type, along with their corresponding details and from the Straico API. This version now includes both chat and image generation models, offering detailed specifications and pricing for each category.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li>Authorization: <code>Bearer $STRAICO_API_KEY</code></li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<p>This endpoint does not require any parameters.</p>\n<h2 id=\"response\">Response</h2>\n<p>Upon a successful request, the API responds with a JSON object containing categorized arrays of model objects. The response includes separate arrays for chat models and image generation models.</p>\n<h4 id=\"response-fields\">Response Fields</h4>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>chat</code></td>\n<td>array</td>\n<td>Array of chat model objects</td>\n</tr>\n<tr>\n<td><code>image</code></td>\n<td>array</td>\n<td>Array of image generation model objects</td>\n</tr>\n</tbody>\n</table>\n</div><h4 id=\"model-object-fields\">Model Object Fields</h4>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>string</td>\n<td>Model display name</td>\n</tr>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>Unique model identifier for API usage</td>\n</tr>\n<tr>\n<td><code>word_limit</code></td>\n<td>number</td>\n<td>Maximum number of words the model can process</td>\n</tr>\n<tr>\n<td><code>pricing</code></td>\n<td>object</td>\n<td>For chat models, includes a <code>\"coins\"</code> value representing the cost per 100 words. For image models, includes aspect ratios (<code>\"square\"</code>, <code>\"landscape\"</code>, and <code>\"portrait\"</code>), each represented as an object containing <code>\"coins\"</code> (the price per image) and <code>\"size\"</code> (the resolution).</td>\n</tr>\n<tr>\n<td><code>max_output</code></td>\n<td>number</td>\n<td>Limit number of tokens (roughly words or word pieces) that can be generated in a single response</td>\n</tr>\n<tr>\n<td><code>metadata</code></td>\n<td>object</td>\n<td>Information about the model, such as its pros, cons, and other details (see below)</td>\n</tr>\n</tbody>\n</table>\n</div><h4 id=\"metadata-object-fields\">Metadata Object Fields</h4>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th><strong>Field</strong></th>\n<th><strong>Type</strong></th>\n<th><strong>Description</strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>editors_choice_level</code></td>\n<td>number</td>\n<td>General valuation given from straico: a value between -1 and 3, higher for better models.</td>\n</tr>\n<tr>\n<td><code>pros</code></td>\n<td>array</td>\n<td>Array of strings with model advantages.</td>\n</tr>\n<tr>\n<td><code>cons</code></td>\n<td>array</td>\n<td>Array of strings with model disadvantages.</td>\n</tr>\n<tr>\n<td><code>applications</code></td>\n<td>array</td>\n<td>Array of strings with areas or fields of knowledge where the model excels.</td>\n</tr>\n<tr>\n<td><code>features</code></td>\n<td>array</td>\n<td>Array of strings with model additional features, for example, <code>\"Web search\"</code>or <code>\"Image input\"</code></td>\n</tr>\n<tr>\n<td><code>icon</code></td>\n<td>string</td>\n<td>Image url of the model icon</td>\n</tr>\n<tr>\n<td><code>other</code></td>\n<td>array</td>\n<td>Array of strings with other characteristics, like <code>\"Uncensored\"</code> or <code>\"Open source\"</code></td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v1","models"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"23253349-b7ed-43b1-97d0-2748ca922e10","name":"Models information (v.1)","originalRequest":{"method":"GET","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"url":"https://api.straico.com/v1/models"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 10 Oct 2024 00:38:02 GMT"},{"key":"Server","value":"Apache/2.4.52 (Ubuntu)"},{"key":"Content-Security-Policy","value":"default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"},{"key":"Cross-Origin-Resource-Policy","value":"same-origin"},{"key":"Origin-Agent-Cluster","value":"?1"},{"key":"Referrer-Policy","value":"no-referrer"},{"key":"Strict-Transport-Security","value":"max-age=15552000; includeSubDomains"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"X-DNS-Prefetch-Control","value":"off"},{"key":"X-Download-Options","value":"noopen"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"X-Permitted-Cross-Domain-Policies","value":"none"},{"key":"X-XSS-Protection","value":"0"},{"key":"Access-Control-Allow-Origin","value":"*"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Content-Length","value":"5249"},{"key":"ETag","value":"W/\"1481-QsfQQGT+1tFOMcJnlLnThIU9Hq4\""},{"key":"Via","value":"1.1 api.straico.com (Apache/2.4.52)"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"}],"cookie":[],"responseTime":null,"body":"{\n  \"data\": {\n    \"chat\": [\n      {\n        \"name\": \"Amazon: Nova Lite 1.0\",\n        \"model\": \"amazon/nova-lite-v1\",\n        \"word_limit\": 225000,\n        \"pricing\": {\n          \"coins\": 0.2,\n          \"words\": 100\n        },\n        \"max_output\": 5000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"May not perform strongly on deeply complex textual inference or long-chain reasoning tasks\"\n          ],\n          \"pros\": [\n            \"Very low cost and lightning-fast multimodal processing\"\n          ],\n          \"applications\": [\n            \"Tutoring\",\n            \"Social chat\",\n            \"Writing\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/nova-lite-1.0.png\"\n        }\n      },\n      {\n        \"name\": \"Amazon: Nova Micro 1.0\",\n        \"model\": \"amazon/nova-micro-v1\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 0.1,\n          \"words\": 100\n        },\n        \"max_output\": 5000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Limited to text-only tasks, lacks multimodal capabilities\",\n            \"Less advanced reasoning capabilities compared to higher-end models like Nova Pro\"\n          ],\n          \"pros\": [\n            \"Lowest latency and most cost-effective in the Amazon Nova family\",\n            \"Strong in tasks like summarization, translation, interactive chat, classification\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Translation\",\n            \"Social chat\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/nova-micro-1.0.png\"\n        }\n      },\n      {\n        \"name\": \"Amazon: Nova Pro 1.0\",\n        \"model\": \"amazon/nova-pro-v1\",\n        \"word_limit\": 225000,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 5000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"High capability might lead to increased resource usage for basic applications\"\n          ],\n          \"pros\": [\n            \"Outstanding multimodal capabilities\\n\",\n            \"High accuracy, speed, and cost-efficiency\",\n            \"Exceptional at handling large context input and long workflows\"\n          ],\n          \"applications\": [\n            \"Tutoring\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/nova-pro-1.0.png\"\n        }\n      },\n      {\n        \"name\": \"Anthropic: Claude 3 Opus\",\n        \"model\": \"anthropic/claude-3-opus\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 24,\n          \"words\": 100\n        },\n        \"max_output\": 4096,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Refuses to interact with some copywritten work\"\n          ],\n          \"pros\": [\n            \"Concise humor\",\n            \"Strong understanding of creativity\",\n            \"Outputs longer than previous generations\"\n          ],\n          \"applications\": [\n            \"Social chat\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-3-opus.png\"\n        }\n      },\n      {\n        \"name\": \"Anthropic: Claude 3.5 Haiku\",\n        \"model\": \"anthropic/claude-3-5-haiku-20241022\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 1.6,\n          \"words\": 100\n        },\n        \"max_output\": 8192,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Tends to format responses in bullet points, which may not suit all use cases\"\n          ],\n          \"pros\": [\n            \"Optimized for speed, coding accuracy, and versatile tool integration\",\n            \"Excels in data extraction, labeling, and real-time content moderation\",\n            \"Delivers quick code completions and streamlined development workflows\"\n          ],\n          \"applications\": [\n            \"Social chat\",\n            \"Coding\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-3.5-haiku.png\"\n        }\n      },\n      {\n        \"name\": \"Anthropic: Claude 3.5 Sonnet\",\n        \"model\": \"anthropic/claude-3.5-sonnet\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 4.8,\n          \"words\": 100\n        },\n        \"max_output\": 8192,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Code Hallucinations and Refactoring\",\n            \"Overzealous Refusals and Ignored Instructions\",\n            \"Difficulty with Complex Reasoning\"\n          ],\n          \"pros\": [\n            \"Creativity in Responses\",\n            \"Helping users understand new concepts\",\n            \"Engaging conversations\",\n            \"Coding Games\",\n            \"Converting units of measurement\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Social chat\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-3.5-sonnet.png\"\n        }\n      },\n      {\n        \"name\": \"Anthropic: Claude 3.7 Sonnet\",\n        \"model\": \"anthropic/claude-3.7-sonnet\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 5,\n          \"words\": 100\n        },\n        \"max_output\": 8192,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Code Hallucinations and Refactoring\",\n            \"Overzealous Refusals and Ignored Instructions\"\n          ],\n          \"pros\": [\n            \"Good programming skills\",\n            \"Highly developed reasoning\",\n            \"Good at developing complex problems\",\n            \"Converting units of measurement\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Coding\",\n            \"Content\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-sonet-3.7.png\\n\"\n        }\n      },\n      {\n        \"name\": \"Anthropic: Claude 3.7 Sonnet Reasoning\",\n        \"model\": \"anthropic/claude-3.7-sonnet:thinking\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 5,\n          \"words\": 100\n        },\n        \"max_output\": 8192,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": 3,\n          \"cons\": [\n            \"Code Hallucinations and Refactoring\",\n            \"Overzealous Refusals and Ignored Instructions\"\n          ],\n          \"pros\": [\n            \"Good programming skills\",\n            \"Highly developed reasoning\",\n            \"Good at developing complex problems\",\n            \"Converting units of measurement\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Coding\",\n            \"Content\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-sonet-3.7.png\\n\"\n        }\n      },\n      {\n        \"name\": \"Cohere: Command R (08-2024)\",\n        \"model\": \"cohere/command-r-08-2024\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 0.2,\n          \"words\": 100\n        },\n        \"max_output\": 4000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Context and Instruction Sensitivity\",\n            \"Ethical and Bias Considerations\"\n          ],\n          \"pros\": [\n            \"Capable of generating human-like text, allowing for engaging and contextually relevant conversations\",\n            \"Adaptable to various user preferences, offering tailored assistance for individual needs\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Translation\",\n            \"Math and logic\",\n            \"Coding\",\n            \"Tutoring\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/command-r-(08-2024).png\"\n        }\n      },\n      {\n        \"name\": \"Cohere: Command R+ (08-2024)\",\n        \"model\": \"cohere/command-r-plus-08-2024\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 3.4,\n          \"words\": 100\n        },\n        \"max_output\": 4000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Potential for bias and ethical concerns, requiring human oversight\",\n            \"Difficulty in handling ambiguous or unclear prompts\"\n          ],\n          \"pros\": [\n            \"Ability to generate human-like text with a vast knowledge base\",\n            \"Efficient at handling large amounts of data for training and contextual understanding\",\n            \"Versatility in assisting with various tasks and domains\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Tutoring\",\n            \"Math and logic\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/command-r%2B-(08-2024).png\"\n        }\n      },\n      {\n        \"name\": \"DeepSeek V3\",\n        \"model\": \"deepseek/deepseek-chat\",\n        \"word_limit\": 49152,\n        \"pricing\": {\n          \"coins\": 1.1,\n          \"words\": 100\n        },\n        \"max_output\": 8000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Its broad knowledge base can lead to oversimplifications for very niche or highly specialized topics\",\n            \"Neutral tone on subjective and ethical issues may feel underwhelming for users seeking bold stances\"\n          ],\n          \"pros\": [\n            \"Strong ability to give step-by-step problem breakdowns for technical and general topics\",\n            \"Multilingual capabilities for diverse user needs\",\n            \"Handles a wide range of topics, including history, tech, and literature, making it highly versatile\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Coding\",\n            \"Tutoring\",\n            \"Translation\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/deepseek-v2.5.png\"\n        }\n      },\n      {\n        \"name\": \"DeepSeek: DeepSeek R1\",\n        \"model\": \"deepseek/deepseek-r1\",\n        \"word_limit\": 48000,\n        \"pricing\": {\n          \"coins\": 4.3,\n          \"words\": 100\n        },\n        \"max_output\": 8000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Tends to produce more extensive explanations unnecessarily\",\n            \"Slightly weaker in math compared to competitors\"\n          ],\n          \"pros\": [\n            \"Creative writing with personality and less censorship\",\n            \"Cost-effective for general-purpose coding\",\n            \"Strong performance in complex reasoning tasks\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Coding\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [\n            \"Uncensored\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/deepseek-r1.png\"\n        }\n      },\n      {\n        \"name\": \"DeepSeek: DeepSeek R1 (nitro)\",\n        \"model\": \"deepseek/deepseek-r1:nitro\",\n        \"word_limit\": 122880,\n        \"pricing\": {\n          \"coins\": 4.3,\n          \"words\": 100\n        },\n        \"max_output\": 8000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": 3,\n          \"cons\": [\n            \"May follow prompts too literally/intensely\"\n          ],\n          \"pros\": [\n            \"Extended context for long-form engagement\",\n            \"Handles memory-intensive tasks well\",\n            \"Enhances creative writing with better continuity\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Coding\",\n            \"Reasoning\",\n            \"Roleplay\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [\n            \"Uncensored\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/deepseek-r1-nitro.png\"\n        }\n      },\n      {\n        \"name\": \"DeepSeek: DeepSeek V3 0324\",\n        \"model\": \"deepseek/deepseek-chat-v3-0324\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 8000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Its broad knowledge base can lead to oversimplifications for very niche or highly specialized topics\",\n            \"Neutral tone on subjective and ethical issues may feel underwhelming for users seeking bold stances\"\n          ],\n          \"pros\": [\n            \"Strong ability to give step-by-step problem breakdowns for technical and general topics\",\n            \"Multilingual capabilities for diverse user needs\",\n            \"Handles a wide range of topics, including history, tech, and literature, making it highly versatile\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Math and logic\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/deepseek-v2.5.png\"\n        }\n      },\n      {\n        \"name\": \"Dolphin 2.6 Mixtral 8x7B\",\n        \"model\": \"cognitivecomputations/dolphin-mixtral-8x7b\",\n        \"word_limit\": 24000,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 32768,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Tutoring may lack depth in some subjects\",\n            \"Roleplay may lack creativity\",\n            \"Content generation can sometimes be generic\"\n          ],\n          \"pros\": [\n            \"Strong writing skills\",\n            \"Proficient in social chat\",\n            \"Reasonable math and logic skills\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Translation\",\n            \"Content\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [\n            \"Uncensored\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/dolphin-2.6-mixtral-8x7b.png\"\n        }\n      },\n      {\n        \"name\": \"EVA Qwen2.5 14B\",\n        \"model\": \"eva-unit-01/eva-qwen-2.5-14b\",\n        \"word_limit\": 24576,\n        \"pricing\": {\n          \"coins\": 0.2,\n          \"words\": 100\n        },\n        \"max_output\": 32768,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Not ideal for coding or complex technical tasks\",\n            \"Struggles occasionally with handling special characters\"\n          ],\n          \"pros\": [\n            \"Excels in creative writing and role-play scenarios\",\n            \"Immersive narrative production with character-driven storytelling\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Content\",\n            \"Roleplay\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/eva-qwen2.5-14b.png\"\n        }\n      },\n      {\n        \"name\": \"Goliath 120B\",\n        \"model\": \"alpindale/goliath-120b\",\n        \"word_limit\": 4608,\n        \"pricing\": {\n          \"coins\": 5,\n          \"words\": 100\n        },\n        \"max_output\": 400,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Limited Explainability (Black Box reasoning)\",\n            \"Data Privacy Concerns\",\n            \"Difficulty in Fine-Tuning\"\n          ],\n          \"pros\": [\n            \"High Multilingual Fluency\",\n            \"Advanced Contextual Understanding\",\n            \"Rich Knowledge Base\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Content\",\n            \"Translation\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/goliath-120b.png\"\n        }\n      },\n      {\n        \"name\": \"Google: Gemini 2.5 Flash Preview\",\n        \"model\": \"google/gemini-2.5-flash-preview\",\n        \"word_limit\": 786432,\n        \"pricing\": {\n          \"coins\": 0.5,\n          \"words\": 100\n        },\n        \"max_output\": 66000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": 1,\n          \"cons\": [\n            \"Lack of precision when responding\",\n            \"Dependency on training data does not have web browsing\"\n          ],\n          \"pros\": [\n            \"Capacity to manage extensive context\",\n            \"Versatile writing and communication skills\",\n            \"Fast code generation\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Content\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gemini-flash-2.0.png\"\n        }\n      },\n      {\n        \"name\": \"Google: Gemini 2.5 Flash Preview Reasoning\",\n        \"model\": \"google/gemini-2.5-flash-preview:thinking\",\n        \"word_limit\": 786432,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 66000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": 1,\n          \"cons\": [\n            \"Its a preview version, it might still be a bit mind-blowing.\"\n          ],\n          \"pros\": [\n            \"Optimized for fast responses without compromising quality perfect for realtime applications like chatbots and virtual assistants.\",\n            \"Performs reasoning before generating outputs, resulting in more accurate and reliable performance on complex tasks like data extraction or code generation.\",\n            \"Handles massive inputs with ease, making it ideal for summarizing long documents, processing datasets, or conducting in-depth analysis.\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Content\",\n            \"Coding\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image upscale\",\n            \"Image remix\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gemini-flash-2.0.png\"\n        }\n      },\n      {\n        \"name\": \"Google: Gemini Flash 2.08B\",\n        \"model\": \"google/gemini-2.0-flash-001\",\n        \"word_limit\": 750000,\n        \"pricing\": {\n          \"coins\": 0.2,\n          \"words\": 100\n        },\n        \"max_output\": 100000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": 1,\n          \"cons\": [\n            \"Lack of precision when responding\",\n            \"Dependency on training data does not have web browsing\"\n          ],\n          \"pros\": [\n            \"Capacity to manage extensive context\",\n            \"Versatile writing and communication skills\",\n            \"Fast code generation\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Content\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gemini-flash-2.0.png\"\n        }\n      },\n      {\n        \"name\": \"Google: Gemini Pro 1.5\",\n        \"model\": \"google/gemini-pro-1.5\",\n        \"word_limit\": 1500000,\n        \"pricing\": {\n          \"coins\": 3.7,\n          \"words\": 100\n        },\n        \"max_output\": 8192,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Can reflect biases present in the training data\",\n            \"Sometimes struggles with conciseness and originality\"\n          ],\n          \"pros\": [\n            \"Can generate text, translate languages, and answer questions quickly\",\n            \"Accesses and processes information from a massive dataset\",\n            \"Capable of performing various tasks, from writing different creative text formats to translating languages, summarizing factual topics, to coding\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Translation\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gemini-pro-1.5.png\"\n        }\n      },\n      {\n        \"name\": \"Google: Gemini Pro 2.5 Preview\",\n        \"model\": \"google/gemini-2.5-pro-preview-03-25\",\n        \"word_limit\": 750000,\n        \"pricing\": {\n          \"coins\": 4.6,\n          \"words\": 100\n        },\n        \"max_output\": 100000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Could provide code with some readability issues\",\n            \"Might have problems by using unwanted code from previous messages\"\n          ],\n          \"pros\": [\n            \"Very good performance at STEM related tasks\",\n            \"Excellent reasoning capabilities\",\n            \"Capacity to manage extensive context\"\n          ],\n          \"applications\": [\n            \"Reasoning\",\n            \"Math and logic\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Web browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gemini-pro-2.0-experimental.png\\n\"\n        }\n      },\n      {\n        \"name\": \"Google: Gemma 2 27B\",\n        \"model\": \"google/gemma-2-27b-it\",\n        \"word_limit\": 3072,\n        \"pricing\": {\n          \"coins\": 0.4,\n          \"words\": 100\n        },\n        \"max_output\": 8192,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Training data may contain biases\"\n          ],\n          \"pros\": [\n            \"Can process information and retrieve relevant facts quickly\",\n            \"Translate and understand text in different languages\"\n          ],\n          \"applications\": [\n            \"Content\",\n            \"Translation\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [\n            \"Open source\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gemma-2-27b.png\"\n        }\n      },\n      {\n        \"name\": \"Gryphe: MythoMax L2 13B 8k\",\n        \"model\": \"gryphe/mythomax-l2-13b\",\n        \"word_limit\": 6144,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 4096,\n        \"metadata\": {\n          \"editors_link\": \"https://straico.com/gryphe-mythomax-l2-13b-8k-beta/\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"May struggle with tasks that require a high level of creativity or original thought\",\n            \"Limited understanding of human emotions and social cues in social chat settings\",\n            \"May require additional time to complete assignments due to language processing\"\n          ],\n          \"pros\": [\n            \"Excellent language skills and ability to understand complex text\",\n            \"Strong communication skills, both written and verbal\",\n            \"Adaptable to different writing styles and formats\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Translation\",\n            \"Content\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/mythomax-l2-13b-8k.png\"\n        }\n      },\n      {\n        \"name\": \"Meta: Llama 3 70B Instruct (nitro)\",\n        \"model\": \"meta-llama/llama-3-70b-instruct:nitro\",\n        \"word_limit\": 6144,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 8192,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Specific tuning needed to fully utilize in distinct fields\",\n            \"Dependence on Input Quality\"\n          ],\n          \"pros\": [\n            \"Produces coherent and contextually relevant responses\",\n            \"Improved Instruction Following\",\n            \"Enhanced Language Understanding\"\n          ],\n          \"applications\": [\n            \"Tutoring\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3-70b-instruct-(nitro).png\"\n        }\n      },\n      {\n        \"name\": \"Meta: Llama 3.1 405B Instruct\",\n        \"model\": \"meta-llama/llama-3.1-405b-instruct\",\n        \"word_limit\": 98000,\n        \"pricing\": {\n          \"coins\": 1.6,\n          \"words\": 100\n        },\n        \"max_output\": 32768,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Fails at self referencial tasks\"\n          ],\n          \"pros\": [\n            \"Basic mathmatics\",\n            \"Can solve logic puzzles\"\n          ],\n          \"applications\": [\n            \"Social chat\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [\n            \"Open source\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-405b.png\"\n        }\n      },\n      {\n        \"name\": \"Meta: Llama 3.1 70B Instruct\",\n        \"model\": \"meta-llama/llama-3.1-70b-instruct\",\n        \"word_limit\": 98000,\n        \"pricing\": {\n          \"coins\": 0.7,\n          \"words\": 100\n        },\n        \"max_output\": 32768,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"May struggle with reasoning\",\n            \"Specific tuning needed to fully utilize in distinct fields\",\n            \"Dependence on Input Quality or Instructions\"\n          ],\n          \"pros\": [\n            \"High-Quality Outputs\",\n            \"Improved Instruction Following\",\n            \"Multilingual capabilities\"\n          ],\n          \"applications\": [\n            \"Tutoring\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-70b-instruct.png\"\n        }\n      },\n      {\n        \"name\": \"Meta: Llama 3.3 70B Instruct\",\n        \"model\": \"meta-llama/llama-3.3-70b-instruct\",\n        \"word_limit\": 98304,\n        \"pricing\": {\n          \"coins\": 0.5,\n          \"words\": 100\n        },\n        \"max_output\": 131000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"It lacks multimodal capabilities (e.g., image or audio input/output) that some newer LLMs support\"\n          ],\n          \"pros\": [\n            \"The model is optimized for multiple languages, making it highly versatile for global applications\",\n            \"It outperforms many open-source and closed-source chat models on widely used industry benchmarks, suggesting high-quality outputs\"\n          ],\n          \"applications\": [\n            \"Translation\",\n            \"Writing\",\n            \"Social chat\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.3-70b-instruct.png\"\n        }\n      },\n      {\n        \"name\": \"Meta: Llama 4 Maverick\",\n        \"model\": \"meta-llama/llama-4-maverick\",\n        \"word_limit\": 78643,\n        \"pricing\": {\n          \"coins\": 0.7,\n          \"words\": 100\n        },\n        \"max_output\": 131000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Might struggle with complex coding tasks\",\n            \"Could have difficulties with logical and mathematical problems\"\n          ],\n          \"pros\": [\n            \"Optimized for vision-language tasks\",\n            \"Excellent for assistant-like behavior\",\n            \"Excels at translation and language-related tasks\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Roleplay\",\n            \"Writing\",\n            \"Translation\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.3-70b-instruct.png\"\n        }\n      },\n      {\n        \"name\": \"Microsoft: Phi 4\",\n        \"model\": \"microsoft/phi-4\",\n        \"word_limit\": 12288,\n        \"pricing\": {\n          \"coins\": 0.1,\n          \"words\": 100\n        },\n        \"max_output\": 16000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Limited capability outside STEM subjects\",\n            \"Rigid in following instructions, limiting creativity\"\n          ],\n          \"pros\": [\n            \"Excels in technical and QA tasks\",\n            \"Top-tier STEM/math problem-solving\"\n          ],\n          \"applications\": [\n            \"Math and logic\",\n            \"Tutoring\",\n            \"Translation\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/phi-4.png\"\n        }\n      },\n      {\n        \"name\": \"Mistral: Codestral Mamba\",\n        \"model\": \"mistralai/codestral-mamba\",\n        \"word_limit\": 192000,\n        \"pricing\": {\n          \"coins\": 0.2,\n          \"words\": 100\n        },\n        \"max_output\": 256000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Limited Creative Problem Solving\",\n            \"May generate syntactically correct but functionally incorrect code\"\n          ],\n          \"pros\": [\n            \"High Coding Proficiency\",\n            \"Multilingual capabilities\",\n            \"Advanced Natural Language Understanding\"\n          ],\n          \"applications\": [\n            \"Coding\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/codestral-mamba.png\"\n        }\n      },\n      {\n        \"name\": \"Mistral: Large\",\n        \"model\": \"mistralai/mistral-large\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 3,\n          \"words\": 100\n        },\n        \"max_output\": 128000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Limited Understanding of Abstract Concepts\"\n          ],\n          \"pros\": [\n            \"High Capacity for Understanding Context\",\n            \"Multi-Language Capability\",\n            \"Enhanced Creativity in Content Generation\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Content\",\n            \"Translation\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/mistral-large.png\"\n        }\n      },\n      {\n        \"name\": \"Mistral: Mixtral 8x7B\",\n        \"model\": \"mistralai/mixtral-8x7b-instruct\",\n        \"word_limit\": 24576,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 32768,\n        \"metadata\": {\n          \"editors_link\": \"https://straico.com/mistral-mixtral-8x7b/\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"May tend to overfit on niche data without careful handling and tuning\",\n            \"Lacks true comprehension of context and nuance\",\n            \"Less effective on complex tasks\"\n          ],\n          \"pros\": [\n            \"Produces coherent and contextually relevant text outputs\",\n            \"Fine-tuning Flexibility\",\n            \"Strong language understanding capabilities\"\n          ],\n          \"applications\": [\n            \"Content\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/mixtral-8x7b-instruct.png\"\n        }\n      },\n      {\n        \"name\": \"NVIDIA: Llama 3.1 Nemotron 70B Instruct\",\n        \"model\": \"nvidia/llama-3.1-nemotron-70b-instruct\",\n        \"word_limit\": 98304,\n        \"pricing\": {\n          \"coins\": 0.5,\n          \"words\": 100\n        },\n        \"max_output\": 131072,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Could improve in specialized domains for deeper expertise\"\n          ],\n          \"pros\": [\n            \"Highly precise responses with excellent formatting capabilities\",\n            \"Strong performance\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Tutoring\",\n            \"Math and logic\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-nemotron-70b-instruct.png\"\n        }\n      },\n      {\n        \"name\": \"NVIDIA: Llama 3.1 Nemotron Ultra 253B v1\",\n        \"model\": \"nvidia/llama-3.1-nemotron-ultra-253b-v1:free\",\n        \"word_limit\": 98304,\n        \"pricing\": {\n          \"coins\": 0.5,\n          \"words\": 100\n        },\n        \"max_output\": 131072,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": 3,\n          \"cons\": [\n            \"Limited reasoning power compared to larger models like Ultra.\\nSlower response time: May lag in real-time applications.\\n\\n\\n\"\n          ],\n          \"pros\": [\n            \"Advanced reasoning capabilities: Excellent for complex logic, scientific analysis, and structured generation.\\n\",\n            \"Strong in specialized tasks: Performs best in research environments and custom AI workflows.\\n\\n\\n\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Tutoring\",\n            \"Math and logic\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-nemotron-70b-instruct.png\"\n        }\n      },\n      {\n        \"name\": \"NVIDIA: Llama 3.3 Nemotron Super 49B v1\",\n        \"model\": \"nvidia/llama-3.1-nemotron-70b-instruct\",\n        \"word_limit\": 98304,\n        \"pricing\": {\n          \"coins\": 0.5,\n          \"words\": 100\n        },\n        \"max_output\": 131072,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Limited reasoning power compared to larger models like Ultra.\",\n            \"Not ideal for complex scientific or abstract tasks: May underperform in research-level challenges\"\n          ],\n          \"pros\": [\n            \"Highly efficient for production: Designed for real-time applications with lower computational cost\",\n            \"Fast response time: Great for virtual assistants, RAG systems, and low-latency use cases.\\n\\n\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Tutoring\",\n            \"Math and logic\",\n            \"Content\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-nemotron-70b-instruct.png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: GPT-4.1\",\n        \"model\": \"openai/gpt-4.1\",\n        \"word_limit\": 785682,\n        \"pricing\": {\n          \"coins\": 3,\n          \"words\": 100\n        },\n        \"max_output\": 1047576,\n        \"metadata\": {\n          \"editors_link\": \"\\\"\",\n          \"editors_choice_level\": 3,\n          \"cons\": [\n            \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n            \"\",\n            \"\"\n          ],\n          \"pros\": [\n            \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n            \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n            \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n          ],\n          \"applications\": [\n            \"Reasoning\",\n            \"Math and logic\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image upscale\",\n            \"Image remix \"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\\n\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: GPT-4.1 Mini\",\n        \"model\": \"openai/gpt-4.1-mini\",\n        \"word_limit\": 785682,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 1047576,\n        \"metadata\": {\n          \"editors_link\": \"\\\"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"can handle massive documents, long conversations, or large codebases without losing track of earlier content. This makes it perfect for complex projects that require deep memory and continuity\"\n          ],\n          \"pros\": [\n            \"While it can process up to 1 million tokens, its precision decreases as the context gets longer. For example, accuracy dropped from 84% at 8,000 tokens to 50% when using the full million. So, it fits - but doesn't always grasp everything well\"\n          ],\n          \"applications\": [\n            \"Reasoning\",\n            \"Math and logic\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\\n\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: GPT-4.1 Nano\",\n        \"model\": \"openai/gpt-4.1-nano\",\n        \"word_limit\": 785682,\n        \"pricing\": {\n          \"coins\": 0.5,\n          \"words\": 100\n        },\n        \"max_output\": 1047576,\n        \"metadata\": {\n          \"editors_link\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\\n\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Without prompting for modularity, GPT-4.1 tends to generate monolithic code. It's better than 4.0, but still needs strong scaffolding to abstract functions, organize files, or implement design patterns cleanly.\"\n          ],\n          \"pros\": [\n            \"It builds more coherent internal representations (like AST-like logic) for code. It handles complex dependencies and modular structures better, especially across languages like Python, TypeScript, Rust, etc\"\n          ],\n          \"applications\": [\n            \"Reasoning\",\n            \"Math and logic\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\\n\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: GPT-4o - (Aug-06)\",\n        \"model\": \"openai/gpt-4o-2024-08-06\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 3,\n          \"words\": 100\n        },\n        \"max_output\": 16384,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Can struggle with tasks requiring everyday reasoning or understanding of real-world physical interactions\",\n            \"Struggles with understanding subtle context, humor, or sarcasm\"\n          ],\n          \"pros\": [\n            \"Ability for idea generation, storytelling, and crafting engaging narratives\",\n            \"Multi-model infrastructure\",\n            \"Real-time roleplaying\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Math and logic\",\n            \"Reasoning\",\n            \"Roleplay\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Video generation\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4o-(aug-06).png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: GPT-4o - (Nov-20)\",\n        \"model\": \"openai/gpt-4o-2024-11-20\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 3.3,\n          \"words\": 100\n        },\n        \"max_output\": 16000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Performance may degrade with vague or unclear inputs\",\n            \"While great overall, it might still underperform in niche tasks compared to specialized models\"\n          ],\n          \"pros\": [\n            \"Delivers more natural, engaging, and tailored content with improved relevance and readability\",\n            \"Shows better performance in processing non-English languages with improved understanding of visual content\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Tutoring\",\n            \"Coding\",\n            \"Math and logic\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\",\n            \"Video generation\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4o-(nov-20).png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: GPT-4o mini\",\n        \"model\": \"openai/gpt-4o-mini\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 0.4,\n          \"words\": 100\n        },\n        \"max_output\": 16384,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Knowledge Compression Limits (Limited knowledge)\"\n          ],\n          \"pros\": [\n            \"Good at tasks where it has to manipulate data\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Math and logic\",\n            \"Content\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image remix\",\n            \"Image generation\",\n            \"Image upscale\",\n            \"Video generation\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4o-mini.png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: o1\",\n        \"model\": \"openai/o1\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 20,\n          \"words\": 100\n        },\n        \"max_output\": 100000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Not as broadly conversational or general-purpose compared to other models\",\n            \"Computationally expensive, requiring significant resources to run efficiently\"\n          ],\n          \"pros\": [\n            \"Best-in-class reasoning for STEM disciplines, consistently outperforming human experts in niche benchmarks\",\n            \"Exceptional coding performance, including competitive programming results far above prior LLMs\",\n            \"Advanced chain-of-thought reasoning improves problem-solving and error correction\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Tutoring\",\n            \"Math and logic\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o1.png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: o1 Pro\",\n        \"model\": \"openai/o1-pro\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 300,\n          \"words\": 100\n        },\n        \"max_output\": 100000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"It has a fairly high cost, it must be used for specific tasks\",\n            \"The model takes a long time to process the information\"\n          ],\n          \"pros\": [\n            \"Best-in-class reasoning for STEM disciplines, consistently outperforming human experts in niche benchmarks\",\n            \"Exceptional coding performance, including competitive programming results far above prior LLMs\",\n            \"\",\n            \"\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Math and logic\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o1-preview.png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: o1-mini\",\n        \"model\": \"openai/o1-mini\",\n        \"word_limit\": 96000,\n        \"pricing\": {\n          \"coins\": 4,\n          \"words\": 100\n        },\n        \"max_output\": 65536,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Falls short on tasks requiring non-STEM broad knowledge\",\n            \"Low effectiveness for domain knowledge beyond math and programming\"\n          ],\n          \"pros\": [\n            \"Same high-compute reinforcement learning pipeline as o1 but at a significantly lower cost\",\n            \"Faster inference speeds and lower latency compared to full o1\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Math and logic\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o1-mini.png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: o3 Mini (High)\",\n        \"model\": \"openai/o3-mini-high\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 3,\n          \"words\": 100\n        },\n        \"max_output\": 100000,\n        \"metadata\": {\n          \"editors_link\": \"\\\"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n            \"\",\n            \"\"\n          ],\n          \"pros\": [\n            \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n            \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n            \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n          ],\n          \"applications\": [\n            \"Reasoning\",\n            \"Math and logic\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o3-mini-high.png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: o3 Mini (Medium)\",\n        \"model\": \"openai/o3-mini\",\n        \"word_limit\": 150000,\n        \"pricing\": {\n          \"coins\": 1.5,\n          \"words\": 100\n        },\n        \"max_output\": 100000,\n        \"metadata\": {\n          \"editors_link\": \"\\\"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n            \"\",\n            \"\"\n          ],\n          \"pros\": [\n            \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n            \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n            \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n          ],\n          \"applications\": [\n            \"Reasoning\",\n            \"Math and logic\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o3-mini.png\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: o4 Mini\",\n        \"model\": \"openai/o4-mini\",\n        \"word_limit\": 200000,\n        \"pricing\": {\n          \"coins\": 1.5,\n          \"words\": 100\n        },\n        \"max_output\": 100000,\n        \"metadata\": {\n          \"editors_link\": \"\\\"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n            \"Performs well in logic, mathematics, and coding tasks, especially when using tools like Python\",\n            \"Despite being a \\\"mini\\\" model, it delivers solid performance in general tasks, thanks to a well-optimized architecture.\"\n          ],\n          \"pros\": [\n            \"Runs fast and consumes fewer resources, making it ideal for real-time responses, even on devices with lower capacity\",\n            \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n            \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n          ],\n          \"applications\": [\n            \"Reasoning\",\n            \"Math and logic\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o4-mini-medium.png\\n\"\n        }\n      },\n      {\n        \"name\": \"OpenAI: o4 Mini High\",\n        \"model\": \"openai/o4-mini-high\",\n        \"word_limit\": 200000,\n        \"pricing\": {\n          \"coins\": 2,\n          \"words\": 100\n        },\n        \"max_output\": 100000,\n        \"metadata\": {\n          \"editors_link\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\",\n          \"editors_choice_level\": 3,\n          \"cons\": [\n            \"While it performs well on concrete tasks, it falls short when dealing with problems that require long chains of logic or deep conceptual interpretation\",\n            \"Its ability to maintain coherence and precision in long prompts or multitasking scenarios is weaker than larger models like o3.\",\n            \"It can process images, but not with the same depth or accuracy as o3. It struggles with interpreting intricate details or complex structures\"\n          ],\n          \"pros\": [\n            \"Runs fast and consumes fewer resources, making it ideal for real-time responses, even on devices with lower capacity.\",\n            \"Performs well in logic, mathematics, and coding tasks, especially when using tools like Python.\",\n            \"Despite being a \\\"mini\\\" model, it delivers solid performance in general tasks, thanks to a well-optimized architecture.\"\n          ],\n          \"applications\": [\n            \"Reasoning\",\n            \"Math and logic\",\n            \"Coding\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\",\n            \"Image remix\",\n            \"Image upscale\"\n          ],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o4-mini-high.png\"\n        }\n      },\n      {\n        \"name\": \"Perplexity: Llama 3.1 Sonar 70B Online\",\n        \"model\": \"perplexity/llama-3.1-sonar-large-128k-online\",\n        \"word_limit\": 95000,\n        \"pricing\": {\n          \"coins\": 0.6,\n          \"words\": 100\n        },\n        \"max_output\": 127072,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Sometimes lacks information on niche topics\"\n          ],\n          \"pros\": [\n            \"Capable of handling real-time requests effectively\",\n            \"Capable of solving complex problems and providing thoughtful answers\"\n          ],\n          \"applications\": [\n            \"Tutoring\",\n            \"Content\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Web search\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-sonar-70b-online.png\"\n        }\n      },\n      {\n        \"name\": \"Perplexity: Llama 3.1 Sonar 8B Online\",\n        \"model\": \"perplexity/llama-3.1-sonar-small-128k-online\",\n        \"word_limit\": 95000,\n        \"pricing\": {\n          \"coins\": 0.2,\n          \"words\": 100\n        },\n        \"max_output\": 127072,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Smaller models may not capture as much information as larger counterparts\"\n          ],\n          \"pros\": [\n            \"Advanced Language Understanding\",\n            \"Good for creative brainstorming and idea generation\",\n            \"Multilingual capabilities\"\n          ],\n          \"applications\": [\n            \"Content\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Web search\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-sonar-8b-online.png\"\n        }\n      },\n      {\n        \"name\": \"Perplexity: Sonar\",\n        \"model\": \"perplexity/sonar\",\n        \"word_limit\": 95304,\n        \"pricing\": {\n          \"coins\": 1,\n          \"words\": 100\n        },\n        \"max_output\": 127072,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Smaller models may not capture as much information as larger counterparts\",\n            \"No account found with an image entry.\"\n          ],\n          \"pros\": [\n            \"Rapid information retrieval.\",\n            \"Detailed, precise question answering.\\n\",\n            \"Multilingual capabilities\"\n          ],\n          \"applications\": [\n            \"Content\",\n            \"Tutoring\",\n            \"Writing\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Web search\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/perplexity-sonar.png\"\n        }\n      },\n      {\n        \"name\": \"Perplexity: Sonar Deep Research\",\n        \"model\": \"perplexity/sonar-deep-research\",\n        \"word_limit\": 95250,\n        \"pricing\": {\n          \"coins\": 16,\n          \"words\": 100\n        },\n        \"max_output\": 127072,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Smaller models may not capture as much information as larger counterparts\"\n          ],\n          \"pros\": [\n            \"Rapid, precise answers with real-time search & citations.\\n\",\n            \"Best for research, not creative tasks.\\n\"\n          ],\n          \"applications\": [\n            \"Content\",\n            \"Reasoning\",\n            \"Tutoring\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Web search\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/perplexity-sonar-reasoning\\n.png\\n\"\n        }\n      },\n      {\n        \"name\": \"Perplexity: Sonar Reasoning\",\n        \"model\": \"perplexity/sonar-reasoning\",\n        \"word_limit\": 95250,\n        \"pricing\": {\n          \"coins\": 2,\n          \"words\": 100\n        },\n        \"max_output\": 127072,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Smaller models may not capture as much information as larger counterparts\"\n          ],\n          \"pros\": [\n            \"Rapid, precise answers with real-time search & citations.\\n\",\n            \"Best for research, not creative tasks.\\n\"\n          ],\n          \"applications\": [\n            \"Content\",\n            \"Reasoning\",\n            \"Tutoring\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Web search\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/perplexity-sonar-reasoning\\n.png\\n\"\n        }\n      },\n      {\n        \"name\": \"Qwen2-VL 72B Instruct\",\n        \"model\": \"qwen/qwen-2-vl-72b-instruct\",\n        \"word_limit\": 24576,\n        \"pricing\": {\n          \"coins\": 0.2,\n          \"words\": 100\n        },\n        \"max_output\": 4096,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Requires more development for non-visual language-specific tasks\"\n          ],\n          \"pros\": [\n            \"State-of-the-art performance in image understanding and content creation\"\n          ],\n          \"applications\": [\n            \"Social chat\",\n            \"Translation\",\n            \"Content\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/qwen2-vl-72b.png\"\n        }\n      },\n      {\n        \"name\": \"Qwen2.5 72B Instruct\",\n        \"model\": \"qwen/qwen-2.5-72b-instruct\",\n        \"word_limit\": 98304,\n        \"pricing\": {\n          \"coins\": 0.2,\n          \"words\": 100\n        },\n        \"max_output\": 32768,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Primarily focused on text, limiting multimodal applications\"\n          ],\n          \"pros\": [\n            \"Enhanced capabilities in coding and complex mathematical reasoning\",\n            \"Excellent instruction-following and long-form content generation\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Tutoring\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/qwen2.5-72b.png\"\n        }\n      },\n      {\n        \"name\": \"Qwen2.5 Coder 32B Instruct\",\n        \"model\": \"qwen/qwen-2.5-coder-32b-instruct\",\n        \"word_limit\": 24576,\n        \"pricing\": {\n          \"coins\": 0.5,\n          \"words\": 100\n        },\n        \"max_output\": 4000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Sometimes blends previous prompts with the current one, affecting response clarity\"\n          ],\n          \"pros\": [\n            \"Excels in general knowledge and math\",\n            \"Powerful and Versatile Coding Skills\",\n            \"Benchmark Leader\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Math and logic\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/qwen2.5-coder-32b.png\"\n        }\n      },\n      {\n        \"name\": \"Qwen: QwQ 32B Preview\",\n        \"model\": \"qwen/qwq-32b-preview\",\n        \"word_limit\": 24576,\n        \"pricing\": {\n          \"coins\": 0.7,\n          \"words\": 100\n        },\n        \"max_output\": 33000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Circular reasoning loops, can produce lengthy inconclusive responses\"\n          ],\n          \"pros\": [\n            \"Excels in multimodal tasks (image/video analysis, text interpretation within images).\",\n            \"Enhanced mathematical and logical reasoning.\",\n            \"Strong performance in text-based tasks (reasoning, code generation)\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Math and logic\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [\n            \"Open source\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/qwq-32b-preview.png\"\n        }\n      },\n      {\n        \"name\": \"Qwen: Qwen2.5 VL 32B Instruct\",\n        \"model\": \"qwen/qwen2.5-vl-32b-instruct:free\",\n        \"word_limit\": 24576,\n        \"pricing\": {\n          \"coins\": 0.7,\n          \"words\": 100\n        },\n        \"max_output\": 33000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Circular reasoning loops, can produce lengthy inconclusive responses\"\n          ],\n          \"pros\": [\n            \"Promising reasoning and analytical math/coding capabilities\",\n            \"Designed for experimental reasoning-focused tasks\",\n            \"Designed for long outputs\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Writing\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [],\n          \"features\": [\n            \"Image input\"\n          ],\n          \"other\": [\n            \"Open source\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/qwen2.5-coder-32b.png\"\n        }\n      },\n      {\n        \"name\": \"Qwen: Qwen3 235B A22B\",\n        \"model\": \"qwen/qwen3-235b-a22b\",\n        \"word_limit\": 30720,\n        \"pricing\": {\n          \"coins\": 0.5,\n          \"words\": 100\n        },\n        \"max_output\": 33000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Despite its strength, like all LLMs, it can generate confident but incorrect answers, especially on niche or sensitive topics\"\n          ],\n          \"pros\": [\n            \"Offers deep understanding in multiple languages including English, Spanish, and Chinese  which makes it ideal for global or multilingual projects\",\n            \"Handles long context inputs while maintaining coherence, which is great for technical writing, storytelling, deep analysis, or extended research tasks.\\n\\n\"\n          ],\n          \"applications\": [\n            \"Coding\",\n            \"Writing\",\n            \"Reasoning\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [\n            \"Open source\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/qwen2.5-coder-32b.png\"\n        }\n      },\n      {\n        \"name\": \"WizardLM-2 8x22B\",\n        \"model\": \"microsoft/wizardlm-2-8x22b\",\n        \"word_limit\": 49152,\n        \"pricing\": {\n          \"coins\": 0.6,\n          \"words\": 100\n        },\n        \"max_output\": 66000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Slightly falls behind the latest proprietary cutting-edge models\",\n            \"Resource-intensive for large-scale or basic applications\"\n          ],\n          \"pros\": [\n            \"Excellent performance in complex multilingual, reasoning, and coding tasks\",\n            \"Significantly outperforms other opensource models in evaluations\"\n          ],\n          \"applications\": [\n            \"Math and logic\",\n            \"Coding\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/wizardlm-2-8x22b.png\"\n        }\n      },\n      {\n        \"name\": \"xAI: Grok 2 1212\",\n        \"model\": \"x-ai/grok-2-1212\",\n        \"word_limit\": 98304,\n        \"pricing\": {\n          \"coins\": 3.2,\n          \"words\": 100\n        },\n        \"max_output\": 131000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Sometimes struggles to handle nuanced contexts or subtle conversational cues\",\n            \"Potential for factual inaccuracies or outdated information\"\n          ],\n          \"pros\": [\n            \"Provides articulate, in-depth explanations of complex topics\",\n            \"Creative and engaging conversational style for creative projects or brainstorming\",\n            \"Strong multilingual capabilities for global applications\"\n          ],\n          \"applications\": [\n            \"Writing\",\n            \"Social chat\"\n          ],\n          \"capabilities\": [\n            \"Browsing\",\n            \"Image generation\"\n          ],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/grok-2-1212.png\"\n        }\n      },\n      {\n        \"name\": \"xAI: Grok 3 Beta\",\n        \"model\": \"x-ai/grok-3-beta\",\n        \"word_limit\": 98304,\n        \"pricing\": {\n          \"coins\": 8,\n          \"words\": 100\n        },\n        \"max_output\": 131000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"It could provide unspecific responses on complex topics of knowledge tasks\",\n            \"Sometimes it can provide slightly informal answers\"\n          ],\n          \"pros\": [\n            \"Great knowledge in STEM areas, finance, and law\",\n            \"Excellent at data extraction and summarization\",\n            \"Possesses deep knowledge about X and social media in general\"\n          ],\n          \"applications\": [\n            \"Math and logic\",\n            \"Reasoning\",\n            \"Coding\",\n            \"Social chat\",\n            \"Content\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [\n            \"Uncensored\"\n          ],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/grok-2-1212.png\"\n        }\n      },\n      {\n        \"name\": \"xAI: Grok 3 Mini Beta\",\n        \"model\": \"x-ai/grok-3-mini-beta\",\n        \"word_limit\": 98304,\n        \"pricing\": {\n          \"coins\": 1.3,\n          \"words\": 100\n        },\n        \"max_output\": 131000,\n        \"metadata\": {\n          \"editors_link\": \"\",\n          \"editors_choice_level\": -1,\n          \"cons\": [\n            \"Sometimes struggles with tasks that demand extensive domain knowledge.\",\n            \"It could be inaccurate when using long contexts.\"\n          ],\n          \"pros\": [\n            \"Excellent at solving math problems\",\n            \"Ideal for reasoning-heavy tasks\",\n            \"Good at STEM-related tasks\",\n            \"Fast response generation\"\n          ],\n          \"applications\": [\n            \"Math and logic\",\n            \"Reasoning\",\n            \"Coding\",\n            \"Social chat\"\n          ],\n          \"capabilities\": [],\n          \"features\": [],\n          \"other\": [],\n          \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/grok-2-1212.png\"\n        }\n      }\n    ],\n    \"image\": [\n      [\n        {\n          \"pricing\": {\n            \"square\": {\n              \"coins\": 90,\n              \"size\": \"1024x1024\"\n            },\n            \"landscape\": {\n              \"coins\": 120,\n              \"size\": \"1792x1024\"\n            },\n            \"portrait\": {\n              \"coins\": 120,\n              \"size\": \"1024x1792\"\n            }\n          },\n          \"_id\": \"67e08e044e0a3624a03ab154\",\n          \"name\": \"OpenAI: Dall-E 3\",\n          \"model\": \"openai/dall-e-3\"\n        },\n        {\n          \"pricing\": {\n            \"square\": {\n              \"coins\": 90,\n              \"size\": \"1024x1024\"\n            },\n            \"landscape\": {\n              \"coins\": 120,\n              \"size\": \"1792x1024\"\n            },\n            \"portrait\": {\n              \"coins\": 120,\n              \"size\": \"1024x1792\"\n            }\n          },\n          \"_id\": \"67e08e274e0a3624a03ab155\",\n          \"name\": \"Flux 1.1\",\n          \"model\": \"flux/1.1\"\n        },\n        {\n          \"pricing\": {\n            \"square\": {\n              \"coins\": 180,\n              \"size\": \"1024x1024\"\n            },\n            \"landscape\": {\n              \"coins\": 180,\n              \"size\": \"1312x736\"\n            },\n            \"portrait\": {\n              \"coins\": 180,\n              \"size\": \"736x1312\"\n            }\n          },\n          \"_id\": \"67e08eb04e0a3624a03ab156\",\n          \"name\": \"Ideogram V_2A\",\n          \"model\": \"ideogram/V_2A\"\n        },\n        {\n          \"pricing\": {\n            \"square\": {\n              \"coins\": 113,\n              \"size\": \"1024x1024\"\n            },\n            \"landscape\": {\n              \"coins\": 113,\n              \"size\": \"1312x736\"\n            },\n            \"portrait\": {\n              \"coins\": 113,\n              \"size\": \"736x1312\"\n            }\n          },\n          \"_id\": \"67e0c232cea26a2e4ae10f42\",\n          \"name\": \"Ideogram V_2A Turbo\",\n          \"model\": \"ideogram/V_2A_TURBO\"\n        },\n        {\n          \"pricing\": {\n            \"square\": {\n              \"coins\": 225,\n              \"size\": \"1024x1024\"\n            },\n            \"landscape\": {\n              \"coins\": 225,\n              \"size\": \"1312x736\"\n            },\n            \"portrait\": {\n              \"coins\": 225,\n              \"size\": \"736x1312\"\n            }\n          },\n          \"_id\": \"67e0c39ecea26a2e4ae10f43\",\n          \"name\": \"Ideogram V_2 Turbo\",\n          \"model\": \"ideogram/V_2_TURBO\"\n        },\n        {\n          \"pricing\": {\n            \"square\": {\n              \"coins\": 360,\n              \"size\": \"1024x1024\"\n            },\n            \"landscape\": {\n              \"coins\": 360,\n              \"size\": \"1312x736\"\n            },\n            \"portrait\": {\n              \"coins\": 360,\n              \"size\": \"736x1312\"\n            }\n          },\n          \"_id\": \"67e0c422cea26a2e4ae10f44\",\n          \"name\": \"Ideogram V_2\",\n          \"model\": \"ideogram/V_2\"\n        },\n        {\n          \"pricing\": {\n            \"square\": {\n              \"coins\": 270,\n              \"size\": \"1024x1024\"\n            },\n            \"landscape\": {\n              \"coins\": 270,\n              \"size\": \"1280x720\"\n            },\n            \"portrait\": {\n              \"coins\": 270,\n              \"size\": \"720x1280\"\n            }\n          },\n          \"_id\": \"67e0c668cea26a2e4ae10f45\",\n          \"name\": \"Ideogram V_1\",\n          \"model\": \"ideogram/V_1\"\n        },\n        {\n          \"pricing\": {\n            \"square\": {\n              \"coins\": 90,\n              \"size\": \"1024x1024\"\n            },\n            \"landscape\": {\n              \"coins\": 90,\n              \"size\": \"1280x720\"\n            },\n            \"portrait\": {\n              \"coins\": 90,\n              \"size\": \"720x1280\"\n            }\n          },\n          \"_id\": \"67e0c67ecea26a2e4ae10f46\",\n          \"name\": \"Ideogram V_1 TURBO\",\n          \"model\": \"ideogram/V_1_TURBO\"\n        }\n      ]\n    ]\n  },\n  \"success\": true\n}"}],"_postman_id":"c728ef80-4824-4dbd-9da4-2ac335194a96"},{"name":"Models information (v.2)","id":"e5369013-73c6-44d8-a3aa-e748c2defc80","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"body":{"mode":"urlencoded","urlencoded":[]},"url":"https://api.straico.com/v2/models","description":"<p>The models information endpoint (v.2) Is full OpenAI-Compatible. OpenAI standard fields are included as well as previous straico-added meta_data as the previous versions.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li>Authorization: <code>Bearer $STRAICO_API_KEY</code></li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<p>This endpoint does not require any parameters.</p>\n<h2 id=\"response\">Response</h2>\n<p>Upon a successful request, the API responds with a JSON object with the field <code>data,</code> containing an array of model objects.</p>\n<h4 id=\"response-fields\">Response Fields</h4>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>data</code></td>\n<td>array</td>\n<td>Array of model objects</td>\n</tr>\n</tbody>\n</table>\n</div><h4 id=\"model-object-fields\">Model Object Fields</h4>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>string</td>\n<td>Model display name</td>\n</tr>\n<tr>\n<td><code>id</code></td>\n<td>string</td>\n<td>Unique model identifier for API usage</td>\n</tr>\n<tr>\n<td><code>word_limit</code></td>\n<td>number</td>\n<td>Maximum number of words the model can process</td>\n</tr>\n<tr>\n<td><code>pricing</code></td>\n<td>object</td>\n<td>For chat models, includes a <code>\"coins\"</code> value representing the cost per 100 words. For image models, includes aspect ratios (<code>\"square\"</code>, <code>\"landscape\"</code>, and <code>\"portrait\"</code>), each represented as an object containing <code>\"coins\"</code> (the price per image) and <code>\"size\"</code> (the resolution).</td>\n</tr>\n<tr>\n<td><code>max_output</code></td>\n<td>number</td>\n<td>Limit number of tokens (roughly words or word pieces) that can be generated in a single response</td>\n</tr>\n<tr>\n<td><code>owned_by</code></td>\n<td>string</td>\n<td>String containing the name of the provider (for example, OpenAI, Anthropic, etc.).</td>\n</tr>\n<tr>\n<td><code>created</code></td>\n<td>number</td>\n<td>Unix timestamp representing the date when the model was implemented in Straico.</td>\n</tr>\n<tr>\n<td><code>object</code></td>\n<td>string</td>\n<td>This will always return <code>\"model\"</code> following openAI standards.</td>\n</tr>\n<tr>\n<td><code>model_type</code></td>\n<td>string</td>\n<td>Can be <code>\"chat\"</code> for text models, <code>\"image\"</code> for text-to-image and image-to-image models, <code>\"video\"</code> for image-to-video models and <code>\"audio\"</code> for text-to-audio models.</td>\n</tr>\n<tr>\n<td><code>metadata</code></td>\n<td>object</td>\n<td>Information about the model, such as its pros, cons, and other details (see below)</td>\n</tr>\n</tbody>\n</table>\n</div><h4 id=\"metadata-object-fields\">Metadata Object Fields</h4>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th><strong>Field</strong></th>\n<th><strong>Type</strong></th>\n<th><strong>Description</strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>editors_choice_level</code></td>\n<td>number</td>\n<td>General valuation given from straico: a value between -1 and 3, higher for better models.</td>\n</tr>\n<tr>\n<td><code>pros</code></td>\n<td>array</td>\n<td>Array of strings with model advantages.</td>\n</tr>\n<tr>\n<td><code>cons</code></td>\n<td>array</td>\n<td>Array of strings with model disadvantages.</td>\n</tr>\n<tr>\n<td><code>applications</code></td>\n<td>array</td>\n<td>Array of strings with areas or fields of knowledge where the model excels.</td>\n</tr>\n<tr>\n<td><code>features</code></td>\n<td>array</td>\n<td>Array of strings with model additional features, for example, <code>\"Web search\"</code>or <code>\"Image input\"</code></td>\n</tr>\n<tr>\n<td><code>icon</code></td>\n<td>string</td>\n<td>Image url of the model icon</td>\n</tr>\n<tr>\n<td><code>other</code></td>\n<td>array</td>\n<td>Array of strings with other characteristics, like <code>\"Uncensored\"</code> or <code>\"Open source\"</code></td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v2","models"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"d85d287b-3065-4c0b-918f-b0da4d2b705b","name":"Models information (v.2)","originalRequest":{"method":"GET","header":[{"key":"Authorization","value":"Bearer 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     \"max_output\": 5000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"May not perform strongly on deeply complex textual inference or long-chain reasoning tasks\"\n                ],\n                \"pros\": [\n                    \"Very low cost and lightning-fast multimodal processing\"\n                ],\n                \"applications\": [\n                    \"Tutoring\",\n                    \"Social chat\",\n                    \"Writing\"\n                ],\n                \"capabilities\": [],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/nova-lite-1.0.png\",\n                \"model_date\": \"2024-12-06T00:00:00.000Z\"\n            },\n            \"owned_by\": \"amazon\",\n            \"created\": 1733443200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Amazon: Nova Micro 1.0\",\n            \"id\": \"amazon/nova-micro-v1\",\n            \"word_limit\": 96000,\n            \"pricing\": {\n                \"coins\": 0.1,\n                \"words\": 100\n            },\n            \"max_output\": 5000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Limited to text-only tasks, lacks multimodal capabilities\",\n                    \"Less advanced reasoning capabilities compared to higher-end models like Nova Pro\"\n                ],\n                \"pros\": [\n                    \"Lowest latency and most cost-effective in the Amazon Nova family\",\n                    \"Strong in tasks like summarization, translation, interactive chat, classification\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Translation\",\n                    \"Social chat\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/nova-micro-1.0.png\",\n                \"model_date\": \"2024-12-06T00:00:00.000Z\"\n            },\n            \"owned_by\": \"amazon\",\n            \"created\": 1733443200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Amazon: Nova Pro 1.0\",\n            \"id\": \"amazon/nova-pro-v1\",\n            \"word_limit\": 225000,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 5000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"High capability might lead to increased resource usage for basic applications\"\n                ],\n                \"pros\": [\n                    \"Outstanding multimodal capabilities\\n\",\n                    \"High accuracy, speed, and cost-efficiency\",\n                    \"Exceptional at handling large context input and long workflows\"\n                ],\n                \"applications\": [\n                    \"Tutoring\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/nova-pro-1.0.png\",\n                \"model_date\": 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             \"Social chat\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-3-opus.png\",\n                \"model_date\": \"2024-03-05T00:00:00.000Z\"\n            },\n            \"owned_by\": \"anthropic\",\n            \"created\": 1709596800,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Anthropic: Claude 3.5 Haiku\",\n            \"id\": \"anthropic/claude-3-5-haiku-20241022\",\n            \"word_limit\": 150000,\n            \"pricing\": {\n                \"coins\": 1.6,\n                \"words\": 100\n            },\n            \"max_output\": 8192,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Tends to format responses in bullet points, which may not suit all use cases\"\n                ],\n                \"pros\": [\n                    \"Optimized for speed, coding accuracy, and versatile tool integration\",\n                    \"Excels in data extraction, labeling, and real-time content moderation\",\n                    \"Delivers quick code completions and streamlined development workflows\"\n                ],\n                \"applications\": [\n                    \"Social chat\",\n                    \"Coding\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-3.5-haiku.png\",\n                \"model_date\": 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],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-sonet-3.7.png\",\n                \"model_date\": \"2025-02-27T00:00:00.000Z\"\n            },\n            \"owned_by\": \"anthropic\",\n            \"created\": 1740614400,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Anthropic: Claude 3.7 Sonnet Reasoning (Medium)\",\n            \"id\": \"anthropic/claude-3.7-sonnet\",\n            \"word_limit\": 150000,\n            \"pricing\": {\n                \"coins\": 5,\n                \"words\": 100\n            },\n            \"max_output\": 8192,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Code Hallucinations and Refactoring\",\n                    \"Overzealous Refusals and Ignored Instructions\"\n                ],\n                \"pros\": [\n                    \"Good programming skills\",\n                    \"Highly developed reasoning\",\n                    \"Good at developing complex problems\",\n                    \"Converting units of measurement\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Coding\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-sonet-3.7.png\",\n                \"model_date\": \"2025-02-27T00:00:00.000Z\"\n            },\n            \"owned_by\": \"anthropic\",\n            \"created\": 1740614400,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Anthropic: Claude Opus 4.1\",\n            \"id\": \"anthropic/claude-opus-4\",\n            \"word_limit\": 16667,\n            \"pricing\": {\n                \"coins\": 30,\n                \"words\": 100\n            },\n            \"max_output\": 200000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Being the premium model, its cost per word is significantly higher than Sonnet 4.5.\"\n                ],\n                \"pros\": [\n                    \"Maximum Pure Coding Accuracy: Achieves 74.5% on SWE-bench Verified, making it the most reliable model for surgical debugging and refactoring extensive code.\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Coding\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-4-sonnet.png\",\n                \"model_date\": \"2025-10-03T00:00:00.000Z\"\n            },\n            \"owned_by\": \"anthropic\",\n            \"created\": 1759449600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Anthropic: Claude Sonnet 4\",\n            \"id\": \"anthropic/claude-sonnet-4\",\n            \"word_limit\": 150000,\n            \"pricing\": {\n                \"coins\": 6,\n                \"words\": 100\n            },\n            \"max_output\": 64000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Claude tends to be more conservative than models like GPT 4o. It may avoid answering certain questions or respond vaguely even when the queries are reasonable.\"\n                ],\n                \"pros\": [\n                    \"It outperforms earlier models and some competitors in solving complex problems, analyzing long texts and generating or translating code between languages\",\n                    \"Twice as fast as Claude 3 Opus, making it great for demanding workflows like realtime analysis or agile software development\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Coding\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-4-sonnet.png\",\n                \"model_date\": \"2025-05-28T00:00:00.000Z\"\n            },\n            \"owned_by\": \"anthropic\",\n            \"created\": 1748390400,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Anthropic: Claude Sonnet 4.5\",\n            \"id\": \"anthropic/claude-sonnet-4.5\",\n            \"word_limit\": 83333,\n            \"pricing\": {\n                \"coins\": 10,\n                \"words\": 100\n            },\n            \"max_output\": 64000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Not the most precise pure coder; Opus 4.1 holds the top SWE-bench benchmark for code accuracy.\"\n                ],\n                \"pros\": [\n                    \"Superior Specialized Knowledge in Finance, Law, Medicine, and STEM. 2. Substantial gains in Reasoning and Math over prior models.\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Coding\",\n                    \"Content\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/claude-4-sonnet.png\",\n                \"model_date\": \"2025-10-02T00:00:00.000Z\"\n            },\n            \"owned_by\": \"anthropic\",\n            \"created\": 1759363200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Cohere: Command R (08-2024)\",\n            \"id\": \"cohere/command-r-08-2024\",\n            \"word_limit\": 96000,\n            \"pricing\": {\n                \"coins\": 0.2,\n                \"words\": 100\n            },\n            \"max_output\": 4000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Context and Instruction Sensitivity\",\n                    \"Ethical and Bias Considerations\"\n                ],\n                \"pros\": [\n                    \"Capable of generating human-like text, allowing for engaging and contextually relevant conversations\",\n                    \"Adaptable to various user preferences, offering tailored assistance for individual needs\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Translation\",\n                    \"Math and logic\",\n                    \"Coding\",\n                    \"Tutoring\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": 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                  \"Ability to generate human-like text with a vast knowledge base\",\n                    \"Efficient at handling large amounts of data for training and contextual understanding\",\n                    \"Versatility in assisting with various tasks and domains\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Tutoring\",\n                    \"Math and logic\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/command-r%2B-(08-2024).png\",\n                \"model_date\": \"2024-08-31T00:00:00.000Z\"\n            },\n            \"owned_by\": \"cohere\",\n            \"created\": 1725062400,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"DeepSeek V3\",\n            \"id\": \"deepseek/deepseek-chat\",\n            \"word_limit\": 49152,\n            \"pricing\": {\n                \"coins\": 1.1,\n                \"words\": 100\n            },\n            \"max_output\": 8000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Its broad knowledge base can lead to oversimplifications for very niche or highly specialized topics\",\n                    \"Neutral tone on subjective and ethical issues may feel underwhelming for users seeking bold stances\"\n                ],\n                \"pros\": [\n                    \"Strong ability to give step-by-step problem breakdowns for technical and general topics\",\n                    \"Multilingual capabilities for diverse user needs\",\n                    \"Handles a wide range of topics, including history, tech, and literature, making it highly versatile\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Coding\",\n                    \"Tutoring\",\n                    \"Translation\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/deepseek-v2.5.png\",\n                \"model_date\": \"2024-12-26T00:00:00.000Z\"\n            },\n            \"owned_by\": \"deepseek\",\n            \"created\": 1735171200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"DeepSeek: DeepSeek R1 Reasoning\",\n            \"id\": \"deepseek/deepseek-r1\",\n            \"word_limit\": 48000,\n            \"pricing\": {\n                \"coins\": 5.16,\n                \"words\": 100\n            },\n            \"max_output\": 8000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": 0,\n                \"cons\": [\n                    \"Tends to produce more extensive explanations unnecessarily\",\n                    \"Slightly weaker in math compared to competitors\"\n                ],\n                \"pros\": [\n                    \"Creative writing with personality and less censorship\",\n                    \"Cost-effective for general-purpose coding\",\n                    \"Strong performance in complex reasoning tasks\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Coding\",\n                    \"Reasoning\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [\n                    \"Uncensored\"\n                ],\n                \"icon\": 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\"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/goliath-120b.png\",\n                \"model_date\": \"2023-11-11T00:00:00.000Z\"\n            },\n            \"owned_by\": \"alpindale\",\n            \"created\": 1699660800,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Google: Gemini 2.5 Flash\",\n            \"id\": \"google/gemini-2.5-flash\",\n            \"word_limit\": 786432,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 66000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": 1,\n                \"cons\": [\n                    \"Lack of precision when responding\",\n                    \"Dependency on training data does not have web browsing\"\n                ],\n                \"pros\": [\n                    \"Capacity to 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\"Dependency on training data does not have web browsing\"\n                ],\n                \"pros\": [\n                    \"Capacity to manage extensive context\",\n                    \"Versatile writing and communication skills\",\n                    \"Fast code generation\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Content\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gemini-flash-2.0.png\",\n                \"model_date\": \"2025-02-15T00:00:00.000Z\"\n            },\n            \"owned_by\": \"google\",\n            \"created\": 1739577600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Google: Gemini Pro 1.5\",\n            \"id\": \"google/gemini-pro-1.5\",\n            \"word_limit\": 1500000,\n            \"pricing\": {\n                \"coins\": 3.7,\n                \"words\": 100\n            },\n            \"max_output\": 8192,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Can reflect biases present in the training data\",\n                    \"Sometimes struggles with conciseness and originality\"\n                ],\n                \"pros\": [\n                    \"Can generate text, translate languages, and answer questions quickly\",\n                    \"Accesses and processes information from a massive dataset\",\n                    \"Capable of performing various tasks, from writing different creative text formats to translating languages, summarizing 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\"coins\": 16.6,\n                \"words\": 100\n            },\n            \"max_output\": 100000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Could provide code with some readability issues\",\n                    \"Might have problems by using unwanted code from previous messages\"\n                ],\n                \"pros\": [\n                    \"Very good performance at STEM related tasks\",\n                    \"Excellent reasoning capabilities\",\n                    \"Capacity to manage extensive context\"\n                ],\n                \"applications\": [\n                    \"Reasoning\",\n                    \"Math and logic\",\n                    \"Translation\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Web browsing\"\n                ],\n                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\"words\": 100\n            },\n            \"max_output\": 4096,\n            \"metadata\": {\n                \"editors_link\": \"https://straico.com/gryphe-mythomax-l2-13b-8k-beta/\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"May struggle with tasks that require a high level of creativity or original thought\",\n                    \"Limited understanding of human emotions and social cues in social chat settings\",\n                    \"May require additional time to complete assignments due to language processing\"\n                ],\n                \"pros\": [\n                    \"Excellent language skills and ability to understand complex text\",\n                    \"Strong communication skills, both written and verbal\",\n                    \"Adaptable to different writing styles and formats\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Translation\",\n                    \"Content\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/mythomax-l2-13b-8k.png\",\n                \"model_date\": \"2023-07-03T00:00:00.000Z\"\n            },\n            \"owned_by\": \"gryphe\",\n            \"created\": 1688342400,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Meta: Llama 3 70B Instruct (nitro)\",\n            \"id\": \"meta-llama/llama-3-70b-instruct:nitro\",\n            \"word_limit\": 6144,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 8192,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Specific tuning needed to fully utilize in distinct fields\",\n                    \"Dependence on Input Quality\"\n                ],\n                \"pros\": [\n                    \"Produces coherent and contextually relevant responses\",\n                    \"Improved Instruction Following\",\n                    \"Enhanced Language Understanding\"\n                ],\n                \"applications\": [\n                    \"Tutoring\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3-70b-instruct-(nitro).png\",\n                \"model_date\": \"2024-04-19T00:00:00.000Z\"\n            },\n            \"owned_by\": \"meta-llama\",\n            \"created\": 1713484800,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Meta: Llama 3.1 405B Instruct\",\n            \"id\": \"meta-llama/llama-3.1-405b-instruct\",\n            \"word_limit\": 98000,\n            \"pricing\": {\n                \"coins\": 1.6,\n                \"words\": 100\n            },\n            \"max_output\": 32768,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Fails at self referencial tasks\"\n                ],\n                \"pros\": [\n                    \"Basic mathmatics\",\n                    \"Can solve logic puzzles\"\n                ],\n                \"applications\": [\n                    \"Social chat\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": 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fields\",\n                    \"Dependence on Input Quality or Instructions\"\n                ],\n                \"pros\": [\n                    \"High-Quality Outputs\",\n                    \"Improved Instruction Following\",\n                    \"Multilingual capabilities\"\n                ],\n                \"applications\": [\n                    \"Tutoring\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-70b-instruct.png\",\n                \"model_date\": \"2024-10-16T00:00:00.000Z\"\n            },\n            \"owned_by\": \"meta-llama\",\n            \"created\": 1729036800,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Meta: Llama 3.3 70B Instruct\",\n            \"id\": \"meta-llama/llama-3.3-70b-instruct\",\n            \"word_limit\": 98304,\n            \"pricing\": {\n                \"coins\": 0.5,\n                \"words\": 100\n            },\n            \"max_output\": 131000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"It lacks multimodal capabilities (e.g., image or audio input/output) that some newer LLMs support\"\n                ],\n                \"pros\": [\n                    \"The model is optimized for multiple languages, making it highly versatile for global applications\",\n                    \"It outperforms many open-source and closed-source chat models on widely used industry benchmarks, suggesting high-quality outputs\"\n                ],\n                \"applications\": [\n                    \"Translation\",\n                    \"Writing\",\n                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\"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Might struggle with complex coding tasks\",\n                    \"Could have difficulties with logical and mathematical problems\"\n                ],\n                \"pros\": [\n                    \"Optimized for vision-language tasks\",\n                    \"Excellent for assistant-like behavior\",\n                    \"Excels at translation and language-related tasks\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Roleplay\",\n                    \"Writing\",\n                    \"Translation\"\n                ],\n                \"capabilities\": [],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.3-70b-instruct.png\",\n                \"model_date\": \"2025-04-10T00:00:00.000Z\"\n            },\n            \"owned_by\": \"meta-llama\",\n            \"created\": 1744243200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Microsoft: Phi 4\",\n            \"id\": \"microsoft/phi-4\",\n            \"word_limit\": 12288,\n            \"pricing\": {\n                \"coins\": 0.1,\n                \"words\": 100\n            },\n            \"max_output\": 16000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Limited capability outside STEM subjects\",\n                    \"Rigid in following instructions, limiting creativity\"\n                ],\n                \"pros\": [\n                    \"Excels in technical and QA tasks\",\n                    \"Top-tier STEM/math problem-solving\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Tutoring\",\n                    \"Translation\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/phi-4.png\",\n                \"model_date\": \"2025-01-11T00:00:00.000Z\"\n            },\n            \"owned_by\": \"microsoft\",\n            \"created\": 1736553600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Mistral: Codestral Mamba\",\n            \"id\": \"mistralai/codestral-mamba\",\n            \"word_limit\": 192000,\n            \"pricing\": {\n                \"coins\": 0.2,\n                \"words\": 100\n            },\n            \"max_output\": 256000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Limited Creative Problem Solving\",\n                    \"May generate syntactically correct but functionally incorrect code\"\n                ],\n                \"pros\": [\n                    \"High Coding Proficiency\",\n                    \"Multilingual capabilities\",\n                    \"Advanced Natural Language Understanding\"\n                ],\n                \"applications\": [\n                    \"Coding\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/codestral-mamba.png\",\n                \"model_date\": \"2024-07-20T00:00:00.000Z\"\n            },\n            \"owned_by\": \"mistralai\",\n            \"created\": 1721433600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Mistral: Mistral Medium 3\",\n            \"id\": \"mistralai/mistral-medium-3\",\n            \"word_limit\": 24576,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 32768,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"A potential drawback of Mistral Medium 3 is its lack of native image processing capabilities, which limits its use in tasks that require visual input or multimodal reasoning involving images\"\n                ],\n                \"pros\": [\n                    \"Delivers strong and efficient performance, optimized for tasks such as coding, multimodal understanding, and continuous learning\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Content\",\n                    \"Translation\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/mistral-large.png\",\n                \"model_date\": \"2025-07-16T00:00:00.000Z\"\n            },\n            \"owned_by\": \"mistralai\",\n            \"created\": 1752624000,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Mistral: Mixtral 8x7B\",\n            \"id\": \"mistralai/mixtral-8x7b-instruct\",\n            \"word_limit\": 24576,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 32768,\n            \"metadata\": {\n                \"editors_link\": \"https://straico.com/mistral-mixtral-8x7b/\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"May tend to overfit on niche data without careful handling and tuning\",\n                    \"Lacks true comprehension of context and nuance\",\n                    \"Less effective on complex tasks\"\n                ],\n                \"pros\": [\n                    \"Produces coherent and contextually relevant text outputs\",\n                    \"Fine-tuning Flexibility\",\n                    \"Strong language understanding capabilities\"\n                ],\n                \"applications\": [\n                    \"Content\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/mixtral-8x7b-instruct.png\",\n                \"model_date\": \"2023-12-11T00:00:00.000Z\"\n            },\n            \"owned_by\": \"mistralai\",\n            \"created\": 1702252800,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"MoonshotAI: Kimi K2 0711\",\n            \"id\": \"moonshotai/kimi-k2:free\",\n            \"word_limit\": 24576,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 4096,\n            \"metadata\": {\n                \"editors_link\": \"https://straico.com/gryphe-mythomax-l2-13b-8k-beta/\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"May struggle with tasks that require a high level of creativity or original thought\",\n                    \"Limited understanding of human emotions and social cues in social chat settings\",\n                    \"May require additional time to complete assignments due to language processing\"\n                ],\n                \"pros\": [\n                    \"Excellent language skills and ability to understand complex text\",\n                    \"Strong communication skills, both written and verbal\",\n                    \"Adaptable to different writing styles and formats\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Translation\",\n                    \"Content\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/goliath-120b.png\",\n                \"model_date\": \"2025-08-03T00:00:00.000Z\"\n            },\n            \"owned_by\": \"moonshotai\",\n            \"created\": 1754179200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"MoonshotAI: Kimi K2 0905\",\n            \"id\": \"moonshotai/kimi-k2-0905\",\n            \"word_limit\": 41833,\n            \"pricing\": {\n                \"coins\": 2,\n                \"words\": 100\n            },\n            \"max_output\": 262000,\n            \"metadata\": {\n                \"editors_link\": \"https://straico.com/gryphe-mythomax-l2-13b-8k-beta/\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"May struggle with tasks that require a high level of creativity or original thought\",\n                    \"Limited understanding of human emotions and social cues in social chat settings\",\n                    \"May require additional time to complete assignments due to language processing\"\n                ],\n                \"pros\": [\n                    \"Excellent language skills and ability to understand complex text\",\n                    \"Strong communication skills, both written and verbal\",\n                    \"Adaptable to different writing styles and formats\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Translation\",\n                    \"Content\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/goliath-120b.png\",\n                \"model_date\": \"2025-09-12T00:00:00.000Z\"\n            },\n            \"owned_by\": \"moonshotai\",\n            \"created\": 1757635200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"NVIDIA: Llama 3.1 Nemotron 70B Instruct\",\n            \"id\": \"nvidia/llama-3.1-nemotron-70b-instruct\",\n            \"word_limit\": 98304,\n            \"pricing\": {\n                \"coins\": 0.5,\n                \"words\": 100\n            },\n            \"max_output\": 131072,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Could improve in specialized domains for deeper expertise\"\n                ],\n                \"pros\": [\n                    \"Highly precise responses with excellent formatting capabilities\",\n                    \"Strong performance\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Tutoring\",\n                    \"Math and logic\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-nemotron-70b-instruct.png\",\n                \"model_date\": \"2024-10-16T00:00:00.000Z\"\n            },\n            \"owned_by\": \"nvidia\",\n            \"created\": 1729036800,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"NVIDIA: Llama 3.1 Nemotron Ultra 253B v1\",\n            \"id\": \"nvidia/llama-3.1-nemotron-ultra-253b-v1\",\n            \"word_limit\": 98304,\n            \"pricing\": {\n                \"coins\": 0.7,\n                \"words\": 100\n            },\n            \"max_output\": 131072,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": 3,\n                \"cons\": [\n                    \"Limited reasoning power compared to larger models like Ultra.\\nSlower response time: May lag in real-time applications.\\n\\n\\n\"\n                ],\n                \"pros\": [\n                    \"Advanced reasoning capabilities: Excellent for complex logic, scientific analysis, and structured generation.\\n\",\n                    \"Strong in specialized tasks: Performs best in research environments and custom AI workflows.\\n\\n\\n\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Tutoring\",\n                    \"Math and logic\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-nemotron-70b-instruct.png\",\n                \"model_date\": \"2025-04-27T00:00:00.000Z\"\n            },\n            \"owned_by\": \"nvidia\",\n            \"created\": 1745712000,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"NVIDIA: Llama 3.3 Nemotron Super 49B v1\",\n            \"id\": \"nvidia/llama-3.3-nemotron-super-49b-v1\",\n            \"word_limit\": 98304,\n            \"pricing\": {\n                \"coins\": 0.5,\n                \"words\": 100\n            },\n            \"max_output\": 131072,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Limited reasoning power compared to larger models like Ultra.\",\n                    \"Not ideal for complex scientific or abstract tasks: May underperform in research-level challenges\"\n                ],\n                \"pros\": [\n                    \"Highly efficient for production: Designed for real-time applications with lower computational cost\",\n                    \"Fast response time: Great for virtual assistants, RAG systems, and low-latency use cases.\\n\\n\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Tutoring\",\n                    \"Math and logic\",\n                    \"Content\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/llama-3.1-nemotron-70b-instruct.png\",\n                \"model_date\": \"2025-04-27T00:00:00.000Z\"\n            },\n            \"owned_by\": \"nvidia\",\n            \"created\": 1745712000,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-4.1\",\n            \"id\": \"openai/gpt-4.1\",\n            \"word_limit\": 785682,\n            \"pricing\": {\n                \"coins\": 3,\n                \"words\": 100\n            },\n            \"max_output\": 1047576,\n            \"metadata\": {\n                \"editors_link\": \"\\\"\",\n                \"editors_choice_level\": 0,\n                \"cons\": [\n                    \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n                    \"\",\n                    \"\"\n                ],\n                \"pros\": [\n                    \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n                    \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n                    \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\",\n                \"model_date\": \"2025-04-16T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1744761600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-4.1 Mini\",\n            \"id\": \"openai/gpt-4.1-mini\",\n            \"word_limit\": 785682,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 1047576,\n            \"metadata\": {\n                \"editors_link\": \"\\\"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"can handle massive documents, long conversations, or large codebases without losing track of earlier content. This makes it perfect for complex projects that require deep memory and continuity\"\n                ],\n                \"pros\": [\n                    \"While it can process up to 1 million tokens, its precision decreases as the context gets longer. For example, accuracy dropped from 84% at 8,000 tokens to 50% when using the full million. So, it fits - but doesn't always grasp everything well\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\",\n                \"model_date\": \"2025-04-16T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1744761600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-4.1 Nano\",\n            \"id\": \"openai/gpt-4.1-nano\",\n            \"word_limit\": 785682,\n            \"pricing\": {\n                \"coins\": 0.5,\n                \"words\": 100\n            },\n            \"max_output\": 1047576,\n            \"metadata\": {\n                \"editors_link\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Without prompting for modularity, GPT-4.1 tends to generate monolithic code. It's better than 4.0, but still needs strong scaffolding to abstract functions, organize files, or implement design patterns cleanly.\"\n                ],\n                \"pros\": [\n                    \"It builds more coherent internal representations (like AST-like logic) for code. It handles complex dependencies and modular structures better, especially across languages like Python, TypeScript, Rust, etc\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\",\n                \"model_date\": \"2025-04-16T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1744761600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-4o - (Aug-06)\",\n            \"id\": \"openai/gpt-4o-2024-08-06\",\n            \"word_limit\": 96000,\n            \"pricing\": {\n                \"coins\": 3,\n                \"words\": 100\n            },\n            \"max_output\": 16384,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Can struggle with tasks requiring everyday reasoning or understanding of real-world physical interactions\",\n                    \"Struggles with understanding subtle context, humor, or sarcasm\"\n                ],\n                \"pros\": [\n                    \"Ability for idea generation, storytelling, and crafting engaging narratives\",\n                    \"Multi-model infrastructure\",\n                    \"Real-time roleplaying\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Math and logic\",\n                    \"Roleplay\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4o-(aug-06).png\",\n                \"model_date\": \"2024-08-07T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1722988800,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-4o - (Nov-20)\",\n            \"id\": \"openai/gpt-4o-2024-11-20\",\n            \"word_limit\": 96000,\n            \"pricing\": {\n                \"coins\": 3.3,\n                \"words\": 100\n            },\n            \"max_output\": 16000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Performance may degrade with vague or unclear inputs\",\n                    \"While great overall, it might still underperform in niche tasks compared to specialized models\"\n                ],\n                \"pros\": [\n                    \"Delivers more natural, engaging, and tailored content with improved relevance and readability\",\n                    \"Shows better performance in processing non-English languages with improved understanding of visual content\"\n                ],\n                \"applications\": [\n                    \"Writing\",\n                    \"Tutoring\",\n                    \"Coding\",\n                    \"Math and logic\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4o-(nov-20).png\",\n                \"model_date\": \"2024-11-21T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1732147200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-4o mini\",\n            \"id\": \"openai/gpt-4o-mini\",\n            \"word_limit\": 96000,\n            \"pricing\": {\n                \"coins\": 0.4,\n                \"words\": 100\n            },\n            \"max_output\": 16384,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Knowledge Compression Limits (Limited knowledge)\"\n                ],\n                \"pros\": [\n                    \"Good at tasks where it has to manipulate data\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Math and logic\",\n                    \"Content\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4o-mini.png\",\n                \"model_date\": \"2024-07-19T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1721347200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-5\",\n            \"id\": \"openai/gpt-5\",\n            \"word_limit\": 333000,\n            \"pricing\": {\n                \"coins\": 8,\n                \"words\": 100\n            },\n            \"max_output\": 128000,\n            \"metadata\": {\n                \"editors_link\": \"\\\"\",\n                \"editors_choice_level\": 3,\n                \"cons\": [\n                    \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n                    \"\",\n                    \"\"\n                ],\n                \"pros\": [\n                    \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n                    \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n                    \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\",\n                \"model_date\": \"2025-09-04T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1756944000,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-5 Chat\",\n            \"id\": \"openai/gpt-5-chat\",\n            \"word_limit\": 300000,\n            \"pricing\": {\n                \"coins\": 5,\n                \"words\": 100\n            },\n            \"max_output\": 128000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": 0,\n                \"cons\": [\n                    \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n                    \"\",\n                    \"\"\n                ],\n                \"pros\": [\n                    \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n                    \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n                    \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o3-mini.png\",\n                \"model_date\": \"2025-08-09T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1754697600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-5 Mini\",\n            \"id\": \"openai/gpt-5-mini\",\n            \"word_limit\": 300000,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 128000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": 3,\n                \"cons\": [\n                    \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n                    \"\",\n                    \"\"\n                ],\n                \"pros\": [\n                    \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n                    \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n                    \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o3-mini.png\",\n                \"model_date\": \"2025-08-09T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1754697600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: GPT-5 Nano\",\n            \"id\": \"openai/gpt-5-nano\",\n            \"word_limit\": 300000,\n            \"pricing\": {\n                \"coins\": 0.5,\n                \"words\": 100\n            },\n            \"max_output\": 128000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n                    \"\",\n                    \"\"\n                ],\n                \"pros\": [\n                    \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n                    \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n                    \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o3-mini.png\",\n                \"model_date\": \"2025-08-09T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1754697600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: o1\",\n            \"id\": \"openai/o1\",\n            \"word_limit\": 150000,\n            \"pricing\": {\n                \"coins\": 20,\n                \"words\": 100\n            },\n            \"max_output\": 100000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Not as broadly conversational or general-purpose compared to other models\",\n                    \"Computationally expensive, requiring significant resources to run efficiently\"\n                ],\n                \"pros\": [\n                    \"Best-in-class reasoning for STEM disciplines, consistently outperforming human experts in niche benchmarks\",\n                    \"Exceptional coding performance, including competitive programming results far above prior LLMs\",\n                    \"Advanced chain-of-thought reasoning improves problem-solving and error correction\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Tutoring\",\n                    \"Math and logic\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o1.png\",\n                \"model_date\": \"2024-09-18T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1726617600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: o1 High Reasoning\",\n            \"id\": \"openai/o1-pro\",\n            \"word_limit\": 150000,\n            \"pricing\": {\n                \"coins\": 35,\n                \"words\": 100\n            },\n            \"max_output\": 100000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"It has a fairly high cost, it must be used for specific tasks\",\n                    \"The model takes a long time to process the information\"\n                ],\n                \"pros\": [\n                    \"Best-in-class reasoning for STEM disciplines, consistently outperforming human experts in niche benchmarks\",\n                    \"Exceptional coding performance, including competitive programming results far above prior LLMs\",\n                    \"\",\n                    \"\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Math and logic\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o1-preview.png\",\n                \"model_date\": \"2025-03-21T00:00:00.000Z\"\n            },\n            \"owned_by\": \"openai\",\n            \"created\": 1742515200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: o1 mini\",\n            \"id\": \"openai/o1-mini\",\n            \"word_limit\": 96000,\n            \"pricing\": {\n                \"coins\": 4,\n                \"words\": 100\n            },\n            \"max_output\": 65536,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Falls short on tasks requiring non-STEM broad knowledge\",\n                    \"Low effectiveness for domain knowledge beyond math and programming\"\n                ],\n                \"pros\": [\n                    \"Same high-compute reinforcement learning pipeline as o1 but at a significantly lower cost\",\n                    \"Faster inference speeds and lower latency compared to full o1\"\n  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  \"cons\": [\n                    \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n                    \"\",\n                    \"\"\n                ],\n                \"pros\": [\n                    \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n                    \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n                    \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [\n                    \"Browsing\"\n                ],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o3-mini.png\",\n                \"model_date\": \"2025-02-01T00:00:00.000Z\"\n            },\n            \"created\": 1738368000,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: o3 Deep Research\",\n            \"id\": \"o3-deep-research-2025-06-26\",\n            \"word_limit\": 83333,\n            \"pricing\": {\n                \"coins\": 190,\n                \"words\": 100\n            },\n            \"max_output\": 128000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": 0,\n                \"cons\": [\n                    \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n                    \"\",\n                    \"\"\n                ],\n                \"pros\": [\n                    \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n                    \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n                    \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [],\n                \"features\": [\n                    \"Web search\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/o3-mini.png\",\n                \"model_date\": \"2025-08-23T00:00:00.000Z\"\n            },\n            \"created\": 1755907200,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"OpenAI: o3 Mini (High)\",\n            \"id\": \"openai/o3-mini-high\",\n            \"word_limit\": 150000,\n            \"pricing\": {\n                \"coins\": 3,\n                \"words\": 100\n            },\n            \"max_output\": 100000,\n            \"metadata\": {\n                \"editors_link\": \"\\\"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n                    \"\",\n                    \"\"\n                ],\n                \"pros\": [\n                    \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n                    \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended 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},\n            \"max_output\": 100000,\n            \"metadata\": {\n                \"editors_link\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\",\n                \"editors_choice_level\": 0,\n                \"cons\": [\n                    \"While it performs well on concrete tasks, it falls short when dealing with problems that require long chains of logic or deep conceptual interpretation\",\n                    \"Its ability to maintain coherence and precision in long prompts or multitasking scenarios is weaker than larger models like o3.\",\n                    \"It can process images, but not with the same depth or accuracy as o3. 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     \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/perplexity-sonar-reasoning.png\",\n                \"model_date\": \"2025-05-01T00:00:00.000Z\"\n            },\n            \"owned_by\": \"perplexity\",\n            \"created\": 1746057600,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Perplexity: Sonar Reasoning\",\n            \"id\": \"perplexity/sonar-reasoning\",\n            \"word_limit\": 95250,\n            \"pricing\": {\n                \"coins\": 2.2,\n                \"words\": 100\n            },\n            \"max_output\": 127072,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Smaller models may not capture as much information as larger counterparts\"\n                ],\n                \"pros\": [\n                    \"Rapid, precise answers with real-time search & citations.\\n\",\n                    \"Best for research, not creative tasks.\\n\"\n                ],\n                \"applications\": [\n                    \"Content\",\n                    \"Reasoning\",\n                    \"Tutoring\"\n                ],\n                \"capabilities\": [],\n                \"features\": [\n                    \"Web search\"\n                ],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/perplexity-sonar-reasoning.png\",\n                \"model_date\": \"2025-02-27T00:00:00.000Z\"\n            },\n            \"owned_by\": \"perplexity\",\n            \"created\": 1740614400,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Qwen 2 72B Instruct\",\n            \"id\": \"qwen/qwen-2-72b-instruct\",\n            \"word_limit\": 24576,\n            \"pricing\": {\n                \"coins\": 0.5,\n                \"words\": 100\n            },\n            \"max_output\": 32768,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Limited world and popular knowledge\",\n                    \"Lack of depth for expert knowledge or niche\"\n                ],\n                \"pros\": [\n                    \"Wide Domain Expertise\",\n                    \"Multilingual capabilities\",\n                    \"Structured data understanding (good on Tables and JSON)\"\n                ],\n                \"applications\": [\n                    \"Social chat\",\n                    \"Translation\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": 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           \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Primarily focused on text, limiting multimodal applications\"\n                ],\n                \"pros\": [\n                    \"Enhanced capabilities in coding and complex mathematical reasoning\",\n                    \"Excellent instruction-following and long-form content generation\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Tutoring\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/qwen2.5-72b.png\",\n                \"model_date\": \"2025-02-02T00:00:00.000Z\"\n            },\n            \"owned_by\": \"qwen\",\n            \"created\": 1738454400,\n            \"object\": 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            ],\n                \"capabilities\": [],\n                \"features\": [\n                    \"Image input\"\n                ],\n                \"other\": [\n                    \"Open source\"\n                ],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/qwen2.5-coder-32b.png\",\n                \"model_date\": \"2025-03-28T00:00:00.000Z\"\n            },\n            \"owned_by\": \"qwen\",\n            \"created\": 1743120000,\n            \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Qwen: Qwen3 235B A22B Reasoning\",\n            \"id\": \"qwen/qwen3-235b-a22b\",\n            \"word_limit\": 30720,\n            \"pricing\": {\n                \"coins\": 0.6,\n                \"words\": 100\n            },\n            \"max_output\": 33000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Despite its strength, like all LLMs, it can generate confident but incorrect answers, especially on niche or sensitive topics\"\n                ],\n                \"pros\": [\n                    \"Offers deep understanding in multiple languages including English, Spanish, and Chinese  which makes it ideal for global or multilingual projects\",\n                    \"Handles long context inputs while maintaining coherence, which is great for technical writing, storytelling, deep analysis, or extended research tasks.\\n\\n\"\n                ],\n                \"applications\": [\n                    \"Coding\",\n                    \"Writing\",\n                    \"Reasoning\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [\n                    \"Open source\"\n                ],\n                \"icon\": 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\"max_output\": 66000,\n            \"metadata\": {\n                \"editors_link\": \"\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"Slightly falls behind the latest proprietary cutting-edge models\",\n                    \"Resource-intensive for large-scale or basic applications\"\n                ],\n                \"pros\": [\n                    \"Excellent performance in complex multilingual, reasoning, and coding tasks\",\n                    \"Significantly outperforms other opensource models in evaluations\"\n                ],\n                \"applications\": [\n                    \"Math and logic\",\n                    \"Coding\"\n                ],\n                \"capabilities\": [],\n                \"features\": [],\n                \"other\": [],\n                \"icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/wizardlm-2-8x22b.png\",\n                \"model_date\": 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 \"object\": \"model\",\n            \"model_type\": \"chat\"\n        },\n        {\n            \"name\": \"Z.AI: GLM 4.6\",\n            \"id\": \"z-ai/glm-4.6\",\n            \"word_limit\": 16900,\n            \"pricing\": {\n                \"coins\": 1,\n                \"words\": 100\n            },\n            \"max_output\": 131100,\n            \"metadata\": {\n                \"editors_link\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/goliath-120b.png\",\n                \"editors_choice_level\": -1,\n                \"cons\": [\n                    \"May struggle with tasks that require a high level of creativity or original thought\",\n                    \"Limited understanding of human emotions and social cues in social chat settings\",\n                    \"May require additional time to complete assignments due to language processing\"\n                ],\n                \"pros\": [\n                    \"Excellent language skills and ability to 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(v.2)","id":"41e13e90-57a5-4e7a-b8e2-b98a1eee4e86","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"body":{"mode":"urlencoded","urlencoded":[]},"url":"https://api.straico.com/v2/models/$model_id","description":"<p>This endpoint allows to get the information of one single model. Is full OpenAI-Compatible. OpenAI standard fields are included as well as previous straico-added meta_data as the previous versions.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li>Authorization: <code>Bearer $STRAICO_API_KEY</code></li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<p>This endpoint does not require any parameters.</p>\n<h2 id=\"response\">Response</h2>\n<p>Upon a successful request, the API responds with a JSON object with the specific model information.</p>\n<h4 id=\"response-fields\">Response Fields</h4>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>name</code></td>\n<td>string</td>\n<td>Model display name</td>\n</tr>\n<tr>\n<td><code>id</code></td>\n<td>string</td>\n<td>Unique model identifier for API usage</td>\n</tr>\n<tr>\n<td><code>word_limit</code></td>\n<td>number</td>\n<td>Maximum number of words the model can process</td>\n</tr>\n<tr>\n<td><code>pricing</code></td>\n<td>object</td>\n<td>For chat models, includes a <code>\"coins\"</code> value representing the cost per 100 words. For image models, includes aspect ratios (<code>\"square\"</code>, <code>\"landscape\"</code>, and <code>\"portrait\"</code>), each represented as an object containing <code>\"coins\"</code> (the price per image) and <code>\"size\"</code> (the resolution).</td>\n</tr>\n<tr>\n<td><code>max_output</code></td>\n<td>number</td>\n<td>Limit number of tokens (roughly words or word pieces) that can be generated in a single response</td>\n</tr>\n<tr>\n<td><code>owned_by</code></td>\n<td>string</td>\n<td>String containing the name of the provider (for example, OpenAI, Anthropic, etc.).</td>\n</tr>\n<tr>\n<td><code>created</code></td>\n<td>number</td>\n<td>Unix timestamp representing the date when the model was implemented in Straico.</td>\n</tr>\n<tr>\n<td><code>object</code></td>\n<td>string</td>\n<td>This will always return <code>\"model\"</code> following openAI standards.</td>\n</tr>\n<tr>\n<td><code>model_type</code></td>\n<td>string</td>\n<td>Can be <code>\"chat\"</code> for text models, <code>\"image\"</code> for text-to-image and image-to-image models, <code>\"video\"</code> for image-to-video models and <code>\"audio\"</code> for text-to-audio models.</td>\n</tr>\n<tr>\n<td><code>editors_choice_level</code></td>\n<td>number</td>\n<td>General valuation given from straico: a value between -1 and 3, higher for better models.</td>\n</tr>\n<tr>\n<td><code>pros</code></td>\n<td>array</td>\n<td>Array of strings with model advantages.</td>\n</tr>\n<tr>\n<td><code>cons</code></td>\n<td>array</td>\n<td>Array of strings with model disadvantages.</td>\n</tr>\n<tr>\n<td><code>aplications</code></td>\n<td>array</td>\n<td>Array of strings with areas or fields of knowledge where the model excels.</td>\n</tr>\n<tr>\n<td><code>features</code></td>\n<td>array</td>\n<td>Array of strings with model additional features, for example, <code>\"Web search\"</code>or <code>\"Image input\"</code></td>\n</tr>\n<tr>\n<td><code>icon</code></td>\n<td>string</td>\n<td>Image url of the model icon</td>\n</tr>\n<tr>\n<td><code>other</code></td>\n<td>array</td>\n<td>Array of strings with other characteristics, like <code>\"Uncensored\"</code> or <code>\"Open source\"</code></td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v2","models","$model_id"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"554bdd57-886c-4f31-a815-0077d0927169","name":"Model information (v.2)","originalRequest":{"method":"GET","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"url":"https://api.straico.com/v2/models/openai/gpt-5"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Thu, 10 Oct 2024 00:38:02 GMT"},{"key":"Server","value":"Apache/2.4.52 (Ubuntu)"},{"key":"Content-Security-Policy","value":"default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"},{"key":"Cross-Origin-Resource-Policy","value":"same-origin"},{"key":"Origin-Agent-Cluster","value":"?1"},{"key":"Referrer-Policy","value":"no-referrer"},{"key":"Strict-Transport-Security","value":"max-age=15552000; includeSubDomains"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"X-DNS-Prefetch-Control","value":"off"},{"key":"X-Download-Options","value":"noopen"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"X-Permitted-Cross-Domain-Policies","value":"none"},{"key":"X-XSS-Protection","value":"0"},{"key":"Access-Control-Allow-Origin","value":"*"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Content-Length","value":"5249"},{"key":"ETag","value":"W/\"1481-QsfQQGT+1tFOMcJnlLnThIU9Hq4\""},{"key":"Via","value":"1.1 api.straico.com (Apache/2.4.52)"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"}],"cookie":[],"responseTime":null,"body":"{\n    \"data\": {\n        \"pricing\": {\n            \"coins\": 8,\n            \"words\": 100\n        },\n        \"name\": \"OpenAI: GPT-5\",\n        \"words_text\": 333000,\n        \"api_model\": \"openai/gpt-5\",\n        \"editors_link\": \"\\\"\",\n        \"max_output\": 128000,\n        \"model_cons\": [\n            \"Focusing on text tasks, it dismisses visual content processing or generation support, anchoring itself in text-based capabilities\",\n            \"\",\n            \"\"\n        ],\n        \"model_pros\": [\n            \"Exceptional ability to solve complex problems in mathematics, physics, and programming\",\n            \" It is capable of maintaining a dialogue with contextual continuity, allowing for extended conversations and adapting to the information provided throughout the interaction.\",\n            \"Web Browsing Compatibility: It is capable of accessing up-to-date information through web browsing\"\n        ],\n        \"model_applications\": [\n            \"math_and_logic\",\n            \"coding\"\n        ],\n        \"model_capabilities\": [\n            \"browsing\"\n        ],\n        \"model_features\": [\n            \"image_input\"\n        ],\n        \"model_other\": [],\n        \"editors_choice_level\": 3,\n        \"model_icon\": \"https://prompt-rack.s3.us-east-1.amazonaws.com/model-icons/gpt-4.5.png\",\n        \"model_date\": \"2025-09-04T00:00:00.000Z\",\n        \"id\": \"openai/gpt-5\",\n        \"object\": \"model\",\n        \"model_type\": \"chat\",\n        \"metadata\": {},\n        \"created\": 1756944000,\n        \"owned_by\": \"openai\"\n    },\n    \"success\": true\n}"}],"_postman_id":"41e13e90-57a5-4e7a-b8e2-b98a1eee4e86"}],"id":"7527bcfd-0c71-4ee9-b67f-3ce21b41e5f2","_postman_id":"7527bcfd-0c71-4ee9-b67f-3ce21b41e5f2","description":""},{"name":"Prompt","item":[{"name":"Prompt completion (v.0)","id":"bc5da45c-475f-4885-9733-dceeb8b9a4f6","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.straico.com/v0/prompt/completion","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint enables users to generate prompt completion based on a specified model using the Straico API. Users can make a POST request to the provided URL, including the necessary headers and parameters, to receive a prompt completion for a given message.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>application/json</code> or <code>application/x-www-form-urlencoded</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<ul>\n<li>You must choose between including either <code>model</code> or <code>smart_llm_selector</code>; you can't include or omit both fields at the same time.</li>\n</ul>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>No</td>\n<td>Specifies the model for generating the prompt completion</td>\n</tr>\n<tr>\n<td><code>smart_llm_selector</code></td>\n<td>string</td>\n<td>No</td>\n<td>The possible values for this string are: \"<code>quality</code>\", \"<code>balance</code>\", or \"<code>budget</code>\".  <br />  <br />If provided, an AI will select a model whose advantages, features and applications best match the user's needs based on the prompt. It will also choose a cheaper, balanced, or expensive model according to the specified pricing method.</td>\n</tr>\n<tr>\n<td><code>message</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The prompt text for which completion is requested</td>\n</tr>\n<tr>\n<td><code>temperature</code></td>\n<td>number</td>\n<td>No</td>\n<td>This setting influences the variety in the model's responses (0-2)</td>\n</tr>\n<tr>\n<td><code>max_tokens</code></td>\n<td>number</td>\n<td>No</td>\n<td>Set the limit for the number of tokens the model can generate in response</td>\n</tr>\n<tr>\n<td><code>replace_failed_models</code></td>\n<td>boolean</td>\n<td>No</td>\n<td>When enabled, and only if the selected model fails due to availability issues, another model will be chosen based on similar applications and a similar price to the original one.</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>Upon a successful request, the API responds with a JSON object containing the generated prompt completion and additional details.</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>price</code></td>\n<td>object</td>\n<td>Cost breakdown. Contains <code>input</code>, <code>output</code>, and <code>total</code> coins</td>\n</tr>\n<tr>\n<td><code>words</code></td>\n<td>object</td>\n<td>Word count details. Contains <code>input</code>, <code>output</code>, and <code>total</code> words</td>\n</tr>\n<tr>\n<td><code>completion</code></td>\n<td>object</td>\n<td>Detailed result for the prompt completion generated</td>\n</tr>\n<tr>\n<td><code>model_selector_justification</code></td>\n<td>string</td>\n<td>A detailed justification of the smart_llm_selector decision, if it was used.</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v0","prompt","completion"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"b5906004-d58d-4be2-93b7-1db0c60b2937","name":"Prompt completion (v.0)","originalRequest":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"},{"key":"Content-Type","value":"application/json","type":"text"}],"body":{"mode":"raw","raw":"{\r\n    \"smart_llm_selector\": \"quality\",\r\n    \"message\": \"Provide five tips for recycling at home. This is a blog article in markdown format\",\r\n    \"replace_failed_models\": true\r\n}","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v0/prompt/completion"},"status":"Created","code":201,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n    \"data\": {\n        \"completion\": {\n            \"id\": \"gen-1746909258-NKW0Wg69UgcZZypp5Bj5\",\n            \"provider\": \"OpenAI\",\n            \"model\": \"openai/o4-mini\",\n            \"object\": \"chat.completion\",\n            \"created\": 1746909258,\n            \"choices\": [\n                {\n                    \"logprobs\": null,\n                    \"finish_reason\": \"stop\",\n                    \"native_finish_reason\": \"stop\",\n                    \"index\": 0,\n                    \"message\": {\n                        \"role\": \"assistant\",\n                        \"content\": \"```markdown\\n# 5 Tips for Recycling at Home\\n\\nRecycling is one of the simplest ways to reduce your environmental footprint and conserve resources. By making a few small changes around the house, you can turn everyday trash into valuable materials and help create a more sustainable future. Here are five practical tips to make recycling at home easy and effective.\\n\\n---\\n\\n## 1. Set Up a Dedicated Recycling Station\\n\\nCreate a central spot in your kitchen, garage, or utility room for all recyclable materials.  \\n- Use clearly labeled bins or color-coded containers for paper, plastics, metals, and glass.  \\n- Keep a small “catch-all” bin for items you’re not sure about—check them later before discarding.  \\n- Place your station near where you generate the most waste (e.g., next to the sink or under the counter).\\n\\n---\\n\\n## 2. Know What Can—and Can’t—Be Recycled\\n\\nRecycling rules vary by municipality, so check your local program’s guidelines. Common recyclable items include:  \\n- Paper and cardboard (flatten boxes, remove food residue)  \\n- Rigid plastics labeled #1–#7 (rinse out food containers)  \\n- Glass bottles and jars (remove lids and rinse)  \\n- Aluminum and steel cans (crush spills-free and rinse lightly)  \\n\\nAvoid placing these in your bin:  \\n- Food-soiled paper (pizza boxes, greasy napkins)  \\n- Plastic bags and film (take back to grocery store drop-off)  \\n- Broken ceramics or window glass  \\n\\n---\\n\\n## 3. Clean and Dry Recyclables\\n\\nContamination is a major reason recyclables end up in a landfill. To reduce contamination:  \\n1. Rinse out food and beverage containers.  \\n2. Let items air-dry before tossing them in your bin.  \\n3. Flatten cardboard to save space and speed up processing.  \\n\\nA quick rinse costs only seconds but can save entire batches of recyclables from being rejected.\\n\\n---\\n\\n## 4. Repurpose and Upcycle Before Recycling\\n\\nGiving items a second life at home can be even more eco-friendly than recycling them:  \\n- Glass jars → storage for pantry staples, craft supplies, or homemade candles  \\n- Cardboard boxes → DIY drawer dividers or seedling planters  \\n- Tin cans → desk organizers or hanging planters (add a coat of paint!)  \\n\\nUpcycling reduces energy used in the recycling process and sparks creativity.\\n\\n---\\n\\n## 5. Shop Smart and Buy Recycled\\n\\nThe recycling loop only works if you support products made from recycled content:  \\n- Look for the “post-consumer recycled” label on paper products, packaging, and electronics.  \\n- Choose bulk or minimal packaging to reduce waste upfront.  \\n- Bring your own reusable bags, bottles, and coffee cups.  \\n\\nEvery dollar you spend on recycled goods sends a market signal that drives demand for recycled materials.\\n\\n---\\n\\n## Conclusion\\n\\nRecycling at home doesn’t have to be complicated. By setting up a dedicated station, knowing what’s accepted, keeping items clean, upcycling creatively, and choosing recycled products, you can make a real difference in waste reduction. Start small, stay consistent, and watch how your efforts add up—one bin at a time!\\n\\nHappy recycling! 🌎♻️\\n```\",\n                        \"refusal\": null,\n                        \"reasoning\": null\n                    }\n                }\n            ],\n            \"system_fingerprint\": null,\n            \"usage\": {\n                \"prompt_tokens\": 22,\n                \"completion_tokens\": 1005,\n                \"total_tokens\": 1027,\n                \"prompt_tokens_details\": {\n                    \"cached_tokens\": 0\n                },\n                \"completion_tokens_details\": {\n                    \"reasoning_tokens\": 320\n                }\n            }\n        },\n        \"price\": {\n            \"input\": 0.22,\n            \"output\": 7.3,\n            \"total\": 7.52\n        },\n        \"words\": {\n            \"input\": 15,\n            \"output\": 487,\n            \"total\": 502\n        },\n        \"model_selector_justification\": \"Given the user's request for a markdown format blog article about recycling at home, the 'openai/o4-mini' model is ideal. Its pricing is balanced for quality, and it excels in generating coherent, relevant responses across various topics, including practical tips suitable for a blog format. While there are other models available, this one balances quality with functionality effectively for the given task.\"\n    },\n    \"success\": true\n}"}],"_postman_id":"bc5da45c-475f-4885-9733-dceeb8b9a4f6"},{"name":"Prompt completion (v.1)","id":"d08d2bee-272f-4852-9f9c-317d4c6ab134","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.straico.com/v1/prompt/completion","description":"<h2 id=\"overview\">Overview</h2>\n<p>The Prompt Completions endpoint (v.1) enables users to generate prompt completions using multiple language models (LLMs) simultaneously. Users can request completions from up to 4 different models in a single request. This version supports the inclusion of YouTube video files and various attachments.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>application/json</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<p>The request body must include model identifiers, prompt text, and optional file and YouTube URLs, all formatted as JSON.</p>\n<ul>\n<li><p>Files must be pre-uploaded using the File Upload endpoint, which provides valid URLs for use in this request.</p>\n</li>\n<li><p>You must choose between including either <code>models</code> or <code>smart_llm_selector</code>; you can't include or omit both fields at the same time.</p>\n</li>\n</ul>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>models</code></td>\n<td>array</td>\n<td>No</td>\n<td>An array of 1-4 unique model identifiers</td>\n</tr>\n<tr>\n<td><code>smart_llm_selector</code></td>\n<td>object</td>\n<td>No</td>\n<td>Includes the fields <code>quantity</code> (number) and <code>pricing_method</code> (string with possible values: \"<code>quality</code>\", \"<code>balance</code>\", or \"<code>budget</code>\").  <br />  <br />If provided, an AI will select models whose advantages, features and applications best match the user's needs based on the prompt. It will also choose cheaper, balanced, or expensive models according to the specified pricing method.</td>\n</tr>\n<tr>\n<td><code>message</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The prompt text for which completions are requested</td>\n</tr>\n<tr>\n<td><code>file_urls</code></td>\n<td>array</td>\n<td>No</td>\n<td>An array of up to 4 file URLs, previously uploaded via the File Upload endpoint</td>\n</tr>\n<tr>\n<td><code>images</code></td>\n<td>array</td>\n<td>No</td>\n<td>An array of image URLs. Image input is only allowed for models costing less than 10 coins per 100 words.</td>\n</tr>\n<tr>\n<td><code>youtube_urls</code></td>\n<td>array</td>\n<td>No</td>\n<td>An array of up to 4 YouTube video URLs</td>\n</tr>\n<tr>\n<td><code>display_transcripts</code></td>\n<td>boolean</td>\n<td>No</td>\n<td>If <code>true</code>, returns transcripts of the files. Default: <code>false</code></td>\n</tr>\n<tr>\n<td><code>temperature</code></td>\n<td>number</td>\n<td>No</td>\n<td>This setting influences the variety in the model's responses (0-2)</td>\n</tr>\n<tr>\n<td><code>max_tokens</code></td>\n<td>number</td>\n<td>No</td>\n<td>Set the limit for the number of tokens the model can generate in response</td>\n</tr>\n<tr>\n<td><code>replace_failed_models</code></td>\n<td>boolean</td>\n<td>No</td>\n<td>When enabled, and only if the selected model fails due to availability issues, another model will be chosen based on similar applications and a similar price to the original one.</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>The API responds with a JSON object containing the following information:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>overall_price</code></td>\n<td>object</td>\n<td>Overall cost for all models, including <code>input</code>, <code>output</code> and <code>total</code> coins</td>\n</tr>\n<tr>\n<td><code>overall_words</code></td>\n<td>object</td>\n<td>Overall word count for all models, including <code>input</code>, <code>output</code> and <code>total</code> words</td>\n</tr>\n<tr>\n<td><code>completions</code></td>\n<td>object</td>\n<td>Detailed results for each requested model</td>\n</tr>\n<tr>\n<td><code>transcripts</code></td>\n<td>array</td>\n<td>If the parameter <code>display_transcripts</code> is given as <code>true</code>, returns an array of transcripts, each contaning a <code>name</code> and <code>text</code></td>\n</tr>\n<tr>\n<td><code>model_selector_justification</code></td>\n<td>string</td>\n<td>A detailed justification of the smart_llm_selector decision, if it was used.</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v1","prompt","completion"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"cabff982-7842-4390-bdb7-8c0a613de7e8","name":"Prompt completion (v.1)","originalRequest":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"},{"key":"Content-Type","value":"application/json","type":"text"}],"body":{"mode":"raw","raw":"{\r\n    \"models\": [\r\n        \"anthropic/claude-3.7-sonnet:thinking\",\r\n        \"meta-llama/llama-4-maverick\"\r\n    ],\r\n    \"message\": \"Which key terms from the 100-word space document also appear in the YouTube video about the universe?. What relation do you find between the two sources and the image attached?\",\r\n    \"file_urls\": [\r\n        \"https://prompt-rack.s3.amazonaws.com/api/1721329178731_space_words.csv\"\r\n    ],\r\n    \"youtube_urls\": [\r\n        \"https://www.youtube.com/watch?v=zORUUqJd81M\"\r\n    ],\r\n    \"images\": [\r\n        \"https://prompt-rack.s3.amazonaws.com/api/1744755154982_galaxy.jpg\"\r\n    ]\r\n}","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v1/prompt/completion"},"status":"Created","code":201,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\"data\":{\n    \"overall_price\": {\n\t\t\t\"input\": 210.2,\n\t\t\t\"output\": 18.67,\n\t\t\t\"total\": 228.87\n\t\t    },\n\t\"overall_words\": {\n\t\t\t\"input\": 5718,\n\t\t\t\"output\": 695,\n\t\t\t\"total\": 6413\n\t\t    },\n        \"completions\":{\n            \"anthropic/claude-3.7-sonnet:thinking\": {\n\t\t\t\t\"completion\": {\n\t\t\t\t\t\"id\": \"gen-1744755774-Zgz4Yd58jzbpJt43jMie\",\n\t\t\t\t\t\"provider\": \"Google\",\n\t\t\t\t\t\"model\": \"anthropic/claude-3.7-sonnet\",\n\t\t\t\t\t\"object\": \"chat.completion\",\n\t\t\t\t\t\"created\": 1744755774,\n\t\t\t\t\t\"choices\": [\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\"logprobs\": null,\n\t\t\t\t\t\t\t\"finish_reason\": \"stop\",\n\t\t\t\t\t\t\t\"native_finish_reason\": \"stop\",\n\t\t\t\t\t\t\t\"index\": 0,\n\t\t\t\t\t\t\t  \"message\": {\n                                \"role\": \"assistant\",\n                                \"content\": \"# Key Terms from Space Document in the YouTube Video\\n\\nSeveral key terms from the space_words.csv file appear in the YouTube video transcript about why the universe exists:\\n\\n1. **Universe** - Central to the video's theme, mentioned repeatedly as the speaker discusses why the universe exists\\n2. **Black hole** - Referenced when mentioning John Archibald Wheeler as the coiner of the term black hole\\n3. **Big Bang** - Appears when discussing gravitational waves from just before the Big Bang\\n4. **Cosmic** - Used in phrases like cosmic mystery and cosmic vacuity\\n5. **Physics/physical** - Mentioned numerous times regarding scientific explanations of existence\\n6. **Quantum** - Referenced in quantum field theory and quantum fluctuation\\n7. **Gravity/gravitational** - In gravitational waves\\n8. **Space** - Mentioned in the context of nothingness: no space, no time, no matter, nothing\\n9. **Reality** - Though not explicitly in the space terms list, related concepts like universe and cosmos are discussed\\n\\n# Relationship Between Sources and Image\\n\\nThe image shows a spiral galaxy with its distinctive bright central bulge and spiral arms containing countless stars set against the darkness of space. This creates a meaningful relationship between all three elements:\\n\\n1. The space_words.csv file provides a vocabulary of astronomical terminology that helps categorize and understand cosmic objects like the galaxy in the image.\\n\\n2. The YouTube transcript explores the philosophical question Why does the universe exist - examining the nature of reality, the origins of the cosmos, and various scientific and metaphysical explanations for existence itself.\\n\\n3. The galaxy image serves as a visual representation of the very subject being discussed - showing one of billions of galaxies that make up our universe, whose existence the speaker is contemplating.\\n\\nThe image perfectly complements both sources, providing a visual reminder of the vastness and complexity of the universe that contains terms listed in the CSV file and whose existence is being questioned in the philosophical discussion of the video.\",\n                                \"refusal\": null,\n                                \"reasoning\": \"I need to identify key space-related terms that appear in both the space_words.csv file and the YouTube video transcript about the universe, and then analyze how they relate to the image...\"\n    }\n\t\t\t\t\t\t}\n\t\t\t\t\t],\n\t\t\t\t\t\"usage\": {\n\t\t\t\t\t\t\"prompt_tokens\": 5411,\n\t\t\t\t\t\t\"completion_tokens\": 992,\n\t\t\t\t\t\t\"total_tokens\": 6403\n\t\t\t\t\t}\n\t\t\t\t},\n\t\t\t\t\"price\": {\n\t\t\t\t\t\"input\": 184.39,\n\t\t\t\t\t\"output\": 16.05,\n\t\t\t\t\t\"total\": 200.44\n\t\t\t\t},\n\t\t\t\t\"words\": {\n\t\t\t\t\t\"input\": 2859,\n\t\t\t\t\t\"output\": 321,\n\t\t\t\t\t\"total\": 3180\n\t\t\t\t}\n\t\t\t},\n            \"meta-llama/llama-4-maverick\": {\n                \"completion\": {\n                    \"id\": \"gen-1744799738-lmZNWyQdVRMUOHU1B5ZU\",\n                    \"provider\": \"Lambda\",\n                    \"model\": \"meta-llama/llama-4-maverick\",\n                    \"object\": \"chat.completion\",\n                    \"created\": 1744799738,\n                    \"choices\": [\n                        {\n                            \"logprobs\": null,\n                            \"finish_reason\": \"stop\",\n                            \"native_finish_reason\": \"stop\",\n                            \"index\": 0,\n                            \"message\": {\n                                \"role\": \"assistant\",\n                                \"refusal\": null,\n\"content\": \"The image attached is a photograph of the Andromeda Galaxy, a spiral galaxy similar to the Milky Way...\",\n                                \"reasoning\": null\n                            }\n                        }\n                    ],\n                    \"system_fingerprint\": \"\",\n                    \"usage\": {\n                        \"prompt_tokens\": 5560,\n                        \"completion_tokens\": 332,\n                        \"total_tokens\": 5892\n                    }\n                },\n                \"price\": {\n                    \"input\": 25.810000000000002,\n                    \"output\": 1.83,\n                    \"total\": 27.64\n                },\n                \"words\": {\n                    \"input\": 2859,\n                    \"output\": 262,\n                    \"total\": 3121\n                }\n            }\n        }\n    },\n \"succes\":true\n }"}],"_postman_id":"d08d2bee-272f-4852-9f9c-317d4c6ab134"}],"id":"8d9dc57f-8d37-4085-a6ad-50c79bfc607a","_postman_id":"8d9dc57f-8d37-4085-a6ad-50c79bfc607a","description":""},{"name":"Chat","item":[{"name":"Chat completion (v.0)","id":"1f62d5da-f68e-47b5-9448-4f477f3aa56e","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"body":{"mode":"raw","raw":"{\r\n\"model\": \"meta-llama/llama-4-maverick\",\r\n\"messages\": [\r\n       {\r\n        \"role\": \"user\",\r\n        \"content\": [\r\n            {\"type\": \"text\", \"text\": \"solve for x => 10x -4x = 0\"},\r\n            {\r\n                \"type\": \"image_url\",\r\n                \"image_url\":{\r\n                    \"url\": \"https://straico.com/wp-content/uploads/2024/11/logo_straico.png\"\r\n                } \r\n            }\r\n        ]\r\n      },\r\n      {\r\n        \"role\": \"assistant\",\r\n        \"content\": \"To solve for x, we need to simplify the equation.\\n\\nThe given equation is:\\n10x - 4x + 2 = 0\\n\\nFirst, combine the like terms:\\n(10x - 4x) + 2 = 0\\n6x + 2 = 0\\n\\nNext, isolate x by subtracting 2 from both sides:\\n6x = -2\\n\\nNow, divide both sides by 6:\\nx = -2/6\\n\\nSimplify the fraction:\\nx = -1/3\\n\\nSo, the solution is x = -1/3.\"\r\n            },\r\n        {\r\n        \"role\": \"user\",\r\n        \"content\": [{\"type\": \"text\", \"text\": \"How much is x times 2\"}\r\n        ]\r\n      }\r\n    ]\r\n  }","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v0/chat/completions","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint lets users generate chat completions from a provided message history. It’s fully compatible with OpenAI, following the same request structure and response format as OpenAI’s chat completion endpoints.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>application/json</code> or <code>application/x-www-form-urlencoded</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<ul>\n<li>You must choose between including either <code>model</code> or <code>smart_llm_selector</code>; you can't include or omit both fields at the same time.</li>\n</ul>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>No</td>\n<td>Specifies the model for generating the prompt completion</td>\n</tr>\n<tr>\n<td><code>smart_llm_selector</code></td>\n<td>string</td>\n<td>No</td>\n<td>The possible values for this string are: \"<code>quality</code>\", \"<code>balance</code>\", or \"<code>budget</code>\".  <br />  <br />If provided, an AI will select a model whose advantages, features and applications best match the user's needs based on the prompt. It will also choose a cheaper, balanced, or expensive model according to the specified pricing method.</td>\n</tr>\n<tr>\n<td><code>messages</code></td>\n<td>Array</td>\n<td>Yes</td>\n<td>An array of objects containing role and content. The content field is itself an array of objects with type and text (see request examples). This array should include the entire conversation you want to provide as context, with the last message serving as the current task for the LLM.</td>\n</tr>\n<tr>\n<td><code>temperature</code></td>\n<td>number</td>\n<td>No</td>\n<td>This setting influences the variety in the model's responses (0-2)</td>\n</tr>\n<tr>\n<td><code>max_tokens</code></td>\n<td>number</td>\n<td>No</td>\n<td>Set the limit for the number of tokens the model can generate in response</td>\n</tr>\n<tr>\n<td><code>replace_failed_models</code></td>\n<td>boolean</td>\n<td>No</td>\n<td>When enabled, and only if the selected model fails due to availability issues, another model will be chosen based on similar applications and a similar price to the original one.</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>Upon a successful request, the API responds with a JSON object containing the generated prompt completion and additional details.</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>price</code></td>\n<td>object</td>\n<td>Cost breakdown. Contains <code>input</code>, <code>output</code>, and <code>total</code> coins</td>\n</tr>\n<tr>\n<td><code>words</code></td>\n<td>object</td>\n<td>Word count details. Contains <code>input</code>, <code>output</code>, and <code>total</code> words</td>\n</tr>\n<tr>\n<td><code>usage</code></td>\n<td>object</td>\n<td>Token count details. Contains <code>prompt_tokens</code>, <code>completion_tokens</code>, <code>total_tokens</code> and <code>prompt_tokens_details</code></td>\n</tr>\n<tr>\n<td><code>choices</code></td>\n<td>array</td>\n<td>Detailed result for the chat completion generated</td>\n</tr>\n<tr>\n<td><code>model_selector_justification</code></td>\n<td>string</td>\n<td>A detailed justification of the smart_llm_selector decision, if it was used.</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v0","chat","completions"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"3aba59b2-28f2-4078-b2cc-0a7adf340ee3","name":"Chat completion (v.0)","originalRequest":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"body":{"mode":"raw","raw":"{\r\n\"model\": \"meta-llama/llama-4-maverick\",\r\n\"messages\": [\r\n       {\r\n        \"role\": \"user\",\r\n        \"content\": [\r\n            {\"type\": \"text\", \"text\": \"solve for x => 10x -4x = 0\"},\r\n            {\r\n                \"type\": \"image_url\",\r\n                \"image_url\":{\r\n                    \"url\": \"https://straico.com/wp-content/uploads/2024/11/logo_straico.png\"\r\n                } \r\n            }\r\n        ]\r\n      },\r\n      {\r\n        \"role\": \"assistant\",\r\n        \"content\": \"To solve for x, we need to simplify the equation.\\n\\nThe given equation is:\\n10x - 4x + 2 = 0\\n\\nFirst, combine the like terms:\\n(10x - 4x) + 2 = 0\\n6x + 2 = 0\\n\\nNext, isolate x by subtracting 2 from both sides:\\n6x = -2\\n\\nNow, divide both sides by 6:\\nx = -2/6\\n\\nSimplify the fraction:\\nx = -1/3\\n\\nSo, the solution is x = -1/3.\"\r\n            },\r\n        {\r\n        \"role\": \"user\",\r\n        \"content\": [{\"type\": \"text\", \"text\": \"How much is x times 2\"}\r\n        ]\r\n      }\r\n    ]\r\n  }","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v0/chat/completions"},"status":"OK","code":200,"_postman_previewlanguage":"","header":[{"key":"Date","value":"Mon, 15 Sep 2025 21:34:37 GMT"},{"key":"Server","value":"Apache/2.4.52 (Ubuntu)"},{"key":"Content-Security-Policy","value":"default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"},{"key":"Cross-Origin-Resource-Policy","value":"same-origin"},{"key":"Origin-Agent-Cluster","value":"?1"},{"key":"Referrer-Policy","value":"no-referrer"},{"key":"Strict-Transport-Security","value":"max-age=15552000; 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Here's a summary of the video and a description of the image:\\n\\n**Video Summary:**\\n\\nThe video, \\\"Automate with Straico: How to Use the n8n Integration for API Workflows\\\" from Straico, serves as a tutorial on leveraging Straico's integration within the N8N automation tool. It highlights how the Straico node in N8N provides access to the full range of Straico's official API endpoints. The tutorial covers several key functionalities:\\n\\n*   **Finding Straico in N8N:** It explains how to add and select the Straico node within an N8N workflow.\\n*   **Prompt Completion:** Demonstrates how to use the Straico node to get AI-powered responses to prompts, which can then be automated for tasks like sending emails.\\n*   **AI Image Generation:** Shows how to generate AI images by setting the resource to \\\"image\\\" and operation to \\\"generate image,\\\" inputting a prompt and selecting a model, with the output being an image URL.\\n*   **File Management:** Explains how to upload documents using the Straico node, receiving a download URL that can be used in other Straico operations for more complex workflows.\\n*   **Advanced Agent Management:** Details how to create and use agents that combine custom prompts with Retrieval Augmented Generation (RAG) for affordable AI responses that can pull information from large documents. This involves creating a RAG base, setting up and customizing an agent's prompt, attaching the RAG base, and then sending a prompt to the agent for a contextual answer.\\n\\nThe video encourages viewers to explore the official Straico API documentation for more advanced workflows.\\n\\n**Image Description:**\\n\\nThe image is a logo that displays the word \\\"straico\\\" in large, bold, sans-serif letters. The letters are a vibrant, deep purple hue and are set against a black background. The pixels are quite visible, giving the logo a retro or digital aesthetic.\"\r\n            }\r\n        ]\r\n    },\r\n    {\r\n        \"role\": \"user\",\r\n        \"content\":[\r\n            {\r\n                \"type\": \"text\",\r\n                \"text\": \"Please provide a shorter summary\"\r\n            }   \r\n        ]\r\n    }\r\n    ],\r\n  \"temperature\": 1,\r\n  \"max_tokens\": 10000,\r\n  \"replace_failed_models\": true,\r\n  \"models\": [\"google/gemini-2.5-flash-lite\", \"gpt-5-nano-2025-08-07\"],\r\n  \"youtube_urls\":[\"https://www.youtube.com/watch?v=J84drL-KH5o&t=25s\"]\r\n}","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v1/chat/completions","description":"<h2 id=\"overview\">Overview</h2>\n<p>The Chat Completions endpoint (v.1) enables users to generate chat completions using multiple language models (LLMs) simultaneously. Users can request completions from up to 4 different models in a single request. This version supports the inclusion of YouTube video files and various attachments.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>application/json</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<p>The request body must include model identifiers, prompt text, and optional file and YouTube URLs, all formatted as JSON.</p>\n<ul>\n<li><p>Files must be pre-uploaded using the File Upload endpoint, which provides valid URLs for use in this request.</p>\n</li>\n<li><p>You must choose between including either <code>models</code> or <code>smart_llm_selector</code>; you can't include or omit both fields at the same time.</p>\n</li>\n<li><p>Image input is only allowed for models costing less than 10 coins per 100 words.</p>\n</li>\n</ul>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>models</code></td>\n<td>array</td>\n<td>No</td>\n<td>An array of 1-4 unique model identifiers</td>\n</tr>\n<tr>\n<td><code>smart_llm_selector</code></td>\n<td>object</td>\n<td>No</td>\n<td>Includes the fields <code>quantity</code> (number) and <code>pricing_method</code> (string with possible values: \"<code>quality</code>\", \"<code>balance</code>\", or \"<code>budget</code>\").  <br />  <br />If provided, an AI will select models whose advantages, features and applications best match the user's needs based on the prompt. It will also choose cheaper, balanced, or expensive models according to the specified pricing method.</td>\n</tr>\n<tr>\n<td><code>messages</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>An array of objects containing <code>role</code> and <code>content</code> . The content field is itself an array of objects with <code>type</code> and <code>text</code> or <code>image_url</code>(see request examples). This array should include the entire conversation you want to provide as context, with the last message serving as the current task for the LLM.</td>\n</tr>\n<tr>\n<td><code>file_urls</code></td>\n<td>array</td>\n<td>No</td>\n<td>An array of up to 4 file URLs, previously uploaded via the File Upload endpoint</td>\n</tr>\n<tr>\n<td><code>youtube_urls</code></td>\n<td>array</td>\n<td>No</td>\n<td>An array of up to 4 YouTube video URLs</td>\n</tr>\n<tr>\n<td><code>display_transcripts</code></td>\n<td>boolean</td>\n<td>No</td>\n<td>If <code>true</code>, returns transcripts of the files. Default: <code>false</code></td>\n</tr>\n<tr>\n<td><code>temperature</code></td>\n<td>number</td>\n<td>No</td>\n<td>This setting influences the variety in the model's responses (0-2)</td>\n</tr>\n<tr>\n<td><code>max_tokens</code></td>\n<td>number</td>\n<td>No</td>\n<td>Set the limit for the number of tokens the model can generate in response</td>\n</tr>\n<tr>\n<td><code>replace_failed_models</code></td>\n<td>boolean</td>\n<td>No</td>\n<td>When enabled, and only if the selected model fails due to availability issues, another model will be chosen based on similar applications and a similar price to the original one.</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>The API responds with a JSON object containing the following information:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>overall_price</code></td>\n<td>object</td>\n<td>Overall cost for all models, including <code>input</code>, <code>output</code> and <code>total</code> coins</td>\n</tr>\n<tr>\n<td><code>overall_words</code></td>\n<td>object</td>\n<td>Overall word count for all models, including <code>input</code>, <code>output</code> and <code>total</code> words</td>\n</tr>\n<tr>\n<td><code>completions</code></td>\n<td>object</td>\n<td>Detailed results for each requested model</td>\n</tr>\n<tr>\n<td><code>transcripts</code></td>\n<td>array</td>\n<td>If the parameter <code>display_transcripts</code> is given as <code>true</code>, returns an array of transcripts, each contaning a <code>name</code> and <code>text</code></td>\n</tr>\n<tr>\n<td><code>model_selector_justification</code></td>\n<td>string</td>\n<td>A detailed justification of the smart_llm_selector decision, if it was used.</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v1","chat","completions"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"f055a58c-15f1-4241-8de4-5b107f723c01","name":"Chat completion (v.1)","originalRequest":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"body":{"mode":"raw","raw":"{\r\n  \"messages\": [\r\n    {\r\n      \"role\": \"user\",\r\n      \"content\": [\r\n            {\r\n                \"type\": \"text\",\r\n                \"text\": \"Can you summarize the attached video and provide a description of the image attached?\"\r\n            },\r\n            {\r\n                \"type\": \"image_url\",\r\n                \"image_url\":{\r\n                    \"url\": \"https://straico.com/wp-content/uploads/2024/11/logo_straico.png\"\r\n                } \r\n            }\r\n        ]\r\n    },\r\n    {\r\n        \"role\": \"assistant\",\r\n        \"content\": [\r\n            {\r\n                \"type\": \"text\",\r\n                \"text\": \"Certainly! Here's a summary of the video and a description of the image:\\n\\n**Video Summary:**\\n\\nThe video, \\\"Automate with Straico: How to Use the n8n Integration for API Workflows\\\" from Straico, serves as a tutorial on leveraging Straico's integration within the N8N automation tool. It highlights how the Straico node in N8N provides access to the full range of Straico's official API endpoints. The tutorial covers several key functionalities:\\n\\n*   **Finding Straico in N8N:** It explains how to add and select the Straico node within an N8N workflow.\\n*   **Prompt Completion:** Demonstrates how to use the Straico node to get AI-powered responses to prompts, which can then be automated for tasks like sending emails.\\n*   **AI Image Generation:** Shows how to generate AI images by setting the resource to \\\"image\\\" and operation to \\\"generate image,\\\" inputting a prompt and selecting a model, with the output being an image URL.\\n*   **File Management:** Explains how to upload documents using the Straico node, receiving a download URL that can be used in other Straico operations for more complex workflows.\\n*   **Advanced Agent Management:** Details how to create and use agents that combine custom prompts with Retrieval Augmented Generation (RAG) for affordable AI responses that can pull information from large documents. This involves creating a RAG base, setting up and customizing an agent's prompt, attaching the RAG base, and then sending a prompt to the agent for a contextual answer.\\n\\nThe video encourages viewers to explore the official Straico API documentation for more advanced workflows.\\n\\n**Image Description:**\\n\\nThe image is a logo that displays the word \\\"straico\\\" in large, bold, sans-serif letters. The letters are a vibrant, deep purple hue and are set against a black background. The pixels are quite visible, giving the logo a retro or digital aesthetic.\"\r\n            }\r\n        ]\r\n    },\r\n    {\r\n        \"role\": \"user\",\r\n        \"content\":[\r\n            {\r\n                \"type\": \"text\",\r\n                \"text\": \"Please provide a shorter summary\"\r\n            }   \r\n        ]\r\n    }\r\n    ],\r\n  \"temperature\": 1,\r\n  \"max_tokens\": 10000,\r\n  \"replace_failed_models\": true,\r\n  \"models\": [\"google/gemini-2.5-flash-lite\", \"gpt-5-nano-2025-08-07\"],\r\n  \"youtube_urls\":[\"https://www.youtube.com/watch?v=J84drL-KH5o&t=25s\"]\r\n}","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v1/chat/completions"},"status":"Created","code":201,"_postman_previewlanguage":"","header":[{"key":"Date","value":"Tue, 16 Sep 2025 03:05:49 GMT"},{"key":"Server","value":"Apache/2.4.52 (Ubuntu)"},{"key":"Content-Security-Policy","value":"default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"},{"key":"Cross-Origin-Resource-Policy","value":"same-origin"},{"key":"Origin-Agent-Cluster","value":"?1"},{"key":"Referrer-Policy","value":"no-referrer"},{"key":"Strict-Transport-Security","value":"max-age=15552000; includeSubDomains"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"X-DNS-Prefetch-Control","value":"off"},{"key":"X-Download-Options","value":"noopen"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"X-Permitted-Cross-Domain-Policies","value":"none"},{"key":"X-XSS-Protection","value":"0"},{"key":"Access-Control-Allow-Origin","value":"*"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Content-Length","value":"2586"},{"key":"ETag","value":"W/\"a1a-lqB9kzJAfZ+3NZ0fD0NdFxRnlx4\""},{"key":"Via","value":"1.1 api.straico.com (Apache/2.4.52)"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n    \"data\": {\n        \"overall_price\": {\n            \"input\": 5.64,\n            \"output\": 0.67,\n            \"total\": 6.31\n        },\n        \"overall_words\": {\n            \"input\": 746,\n            \"output\": 132,\n            \"total\": 878\n        },\n        \"completions\": {\n            \"google/gemini-2.5-flash-lite\": {\n                \"completion\": {\n                    \"id\": \"gen-1758000102-KE7FTQv0cNJ0r5YlVqg1\",\n                    \"provider\": \"Google\",\n                    \"model\": \"google/gemini-2.5-flash-lite\",\n                    \"object\": \"chat.completion\",\n                    \"created\": 1758000102,\n                    \"choices\": [\n                        {\n                            \"logprobs\": null,\n                            \"finish_reason\": \"stop\",\n                            \"native_finish_reason\": \"STOP\",\n                            \"index\": 0,\n                            \"message\": {\n                                \"role\": \"assistant\",\n                                \"content\": \"The video by Straico demonstrates how to use the Straico integration within N8N for API workflows. It covers prompt completion, AI image generation, file management (uploading and getting download URLs), and advanced agent management using RAG for contextual AI responses. All these features are accessible through the Straico node in N8N, allowing for automated tasks.\",\n                                \"refusal\": null,\n                                \"reasoning\": null\n                            }\n                        }\n                    ],\n                    \"usage\": {\n                        \"prompt_tokens\": 2581,\n                        \"completion_tokens\": 71,\n                        \"total_tokens\": 2652,\n                        \"prompt_tokens_details\": {\n                            \"cached_tokens\": 2007\n                        },\n                        \"completion_tokens_details\": {\n                            \"reasoning_tokens\": 0,\n                            \"image_tokens\": 0\n                        }\n                    }\n                },\n                \"price\": {\n                    \"input\": 2.8200000000000003,\n                    \"output\": 0.28,\n                    \"total\": 3.1\n                },\n                \"words\": {\n                    \"input\": 373,\n                    \"output\": 55,\n                    \"total\": 428\n                }\n            },\n            \"openai/gpt-5-nano\": {\n                \"completion\": {\n                    \"choices\": [\n                        {\n                            \"content_filter_results\": {\n                                \"hate\": {\n                                    \"filtered\": false,\n                                    \"severity\": \"safe\"\n                                },\n                                \"protected_material_code\": {\n                                    \"filtered\": false,\n                                    \"detected\": false\n                                },\n                                \"protected_material_text\": {\n                                    \"filtered\": false,\n                                    \"detected\": false\n                                },\n                                \"self_harm\": {\n                                    \"filtered\": false,\n                                    \"severity\": \"safe\"\n                                },\n                                \"sexual\": {\n                                    \"filtered\": false,\n                                    \"severity\": \"safe\"\n                                },\n                                \"violence\": {\n                                    \"filtered\": false,\n                                    \"severity\": \"safe\"\n                                }\n                            },\n                            \"finish_reason\": \"stop\",\n                            \"index\": 0,\n                            \"logprobs\": null,\n                            \"message\": {\n                                \"annotations\": [],\n                                \"content\": \"Here’s a shorter summary:\\n\\n- The video shows how to use Straico’s n8n integration by adding the Straico node in an n8n workflow to access Straico API endpoints.\\n- It demonstrates prompt completion, AI image generation (with a URL output), and file uploads (providing a download URL for use in other steps).\\n- It covers advanced agent management with Retrieval Augmented Generation (RAG) for contextual answers, and suggests checking the official Straico API docs for more features.\",\n                                \"refusal\": null,\n                                \"role\": \"assistant\"\n                            }\n                        }\n                    ],\n                    \"created\": 1758000105,\n                    \"id\": \"chatcmpl-CGIQLGvGysqhhxJulxOn8fPoszbBl\",\n                    \"model\": \"gpt-5-nano-2025-08-07\",\n                    \"object\": \"chat.completion\",\n                    \"prompt_filter_results\": [\n                        {\n                            \"prompt_index\": 1,\n                            \"content_filter_result\": {\n                                \"sexual\": {\n                                    \"filtered\": false,\n                                    \"severity\": \"safe\"\n                                },\n                                \"violence\": {\n                                    \"filtered\": false,\n                                    \"severity\": \"safe\"\n                                },\n                                \"hate\": {\n                                    \"filtered\": false,\n                                    \"severity\": \"safe\"\n                                },\n                                \"self_harm\": {\n                                    \"filtered\": false,\n                                    \"severity\": \"safe\"\n                                },\n                                \"custom_blocklists\": {\n                                    \"filtered\": false,\n                                    \"details\": []\n                                }\n                            }\n                        },\n                        {\n                            \"prompt_index\": 0,\n                            \"content_filter_result\": {}\n                        }\n                    ],\n                    \"system_fingerprint\": null,\n                    \"usage\": {\n                        \"completion_tokens\": 687,\n                        \"completion_tokens_details\": {\n                            \"accepted_prediction_tokens\": 0,\n                            \"audio_tokens\": 0,\n                            \"reasoning_tokens\": 576,\n                            \"rejected_prediction_tokens\": 0\n                        },\n                        \"prompt_tokens\": 1039,\n                        \"prompt_tokens_details\": {\n                            \"audio_tokens\": 0,\n                            \"cached_tokens\": 0\n                        },\n                        \"total_tokens\": 1726\n                    }\n                },\n                \"price\": {\n                    \"input\": 2.8200000000000003,\n                    \"output\": 0.39,\n                    \"total\": 3.21\n                },\n                \"words\": {\n                    \"input\": 373,\n                    \"output\": 77,\n                    \"total\": 450\n                }\n            }\n        },\n        \"model_selector_justification\": \"Based on the user's budget preference, I've selected two affordable models: 'google/gemini-2.5-flash-lite' priced at 0.5 and 'openai/gpt-5-nano' priced at 0.5. Both models are well-suited for general language tasks, such as coding and communication. The Gemini model offers versatile writing skills and fast code generation, whereas the GPT-5 nano excels at problem-solving in mathematics and programming. This combination ensures a balance of functionality while adhering to the budget constraint.\"\n    },\n    \"success\": true\n}"}],"_postman_id":"a63d605d-023c-4d74-b3f6-604d4c043f6f"},{"name":"Chat completion (v.2)","id":"f16ebe47-10a4-41eb-b2e2-97831e7ee6de","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"body":{"mode":"raw","raw":"{\r\n\"model\": \"meta-llama/llama-4-maverick\",\r\n\"messages\": [\r\n       {\r\n        \"role\": \"user\",\r\n        \"content\": [\r\n            {\"type\": \"text\", \"text\": \"solve for x => 10x -4x = 0\"},\r\n            {\r\n                \"type\": \"image_url\",\r\n                \"image_url\":{\r\n                    \"url\": \"https://straico.com/wp-content/uploads/2024/11/logo_straico.png\"\r\n                } \r\n            }\r\n        ]\r\n      },\r\n      {\r\n        \"role\": \"assistant\",\r\n        \"content\": \"To solve for x, we need to simplify the equation.\\n\\nThe given equation is:\\n10x - 4x + 2 = 0\\n\\nFirst, combine the like terms:\\n(10x - 4x) + 2 = 0\\n6x + 2 = 0\\n\\nNext, isolate x by subtracting 2 from both sides:\\n6x = -2\\n\\nNow, divide both sides by 6:\\nx = -2/6\\n\\nSimplify the fraction:\\nx = -1/3\\n\\nSo, the solution is x = -1/3.\"\r\n            },\r\n        {\r\n        \"role\": \"user\",\r\n        \"content\": [{\"type\": \"text\", \"text\": \"How much is x times 2\"}\r\n        ]\r\n      }\r\n    ]\r\n  }","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v2/chat/completions","description":"<h2 id=\"overview\">Overview</h2>\n<p>This is an OpenAI compatible endpoint which let users generate chat completions from a provided message history.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>application/json</code> or <code>application/x-www-form-urlencoded</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<ul>\n<li>You must choose between including either <code>model</code> or <code>smart_llm_selector</code>; you can't include or omit both fields at the same time.</li>\n</ul>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>No</td>\n<td>Specifies the model for generating the prompt completion</td>\n</tr>\n<tr>\n<td><code>smart_llm_selector</code></td>\n<td>string</td>\n<td>No</td>\n<td>The possible values for this string are: \"<code>quality</code>\", \"<code>balance</code>\", or \"<code>budget</code>\".  <br />  <br />If provided, an AI will select a model whose advantages, features and applications best match the user's needs based on the prompt. It will also choose a cheaper, balanced, or expensive model according to the specified pricing method.</td>\n</tr>\n<tr>\n<td><code>messages</code></td>\n<td>Array</td>\n<td>Yes</td>\n<td>An array of objects containing role and content. The content field is itself an array of objects with type and text (see request examples). This array should include the entire conversation you want to provide as context, with the last message serving as the current task for the LLM.</td>\n</tr>\n<tr>\n<td><code>temperature</code></td>\n<td>number</td>\n<td>No</td>\n<td>This setting influences the variety in the model's responses (0-2)</td>\n</tr>\n<tr>\n<td><code>max_tokens</code></td>\n<td>number</td>\n<td>No</td>\n<td>Set the limit for the number of tokens the model can generate in response</td>\n</tr>\n<tr>\n<td><code>replace_failed_models</code></td>\n<td>boolean</td>\n<td>No</td>\n<td>When enabled, and only if the selected model fails due to availability issues, another model will be chosen based on similar applications and a similar price to the original one.</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>Upon a successful request, the API responds with a JSON object containing the generated prompt completion and additional details.</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>price</code></td>\n<td>object</td>\n<td>Cost breakdown. Contains <code>input</code>, <code>output</code>, and <code>total</code> coins</td>\n</tr>\n<tr>\n<td><code>words</code></td>\n<td>object</td>\n<td>Word count details. Contains <code>input</code>, <code>output</code>, and <code>total</code> words</td>\n</tr>\n<tr>\n<td><code>usage</code></td>\n<td>object</td>\n<td>Token count details. Contains <code>prompt_tokens</code>, <code>completion_tokens</code>, <code>total_tokens</code> and <code>prompt_tokens_details</code></td>\n</tr>\n<tr>\n<td><code>choices</code></td>\n<td>array</td>\n<td>Detailed result for the chat completion generated</td>\n</tr>\n<tr>\n<td><code>model_selector_justification</code></td>\n<td>string</td>\n<td>A detailed justification of the smart_llm_selector decision, if it was used.</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v2","chat","completions"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"0a93fb22-21f8-4274-954f-ec181267ab36","name":"Chat completion (v.2)","originalRequest":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"body":{"mode":"raw","raw":"{\r\n\"model\": \"meta-llama/llama-4-maverick\",\r\n\"messages\": [\r\n       {\r\n        \"role\": \"user\",\r\n        \"content\": [\r\n            {\"type\": \"text\", \"text\": \"solve for x => 10x -4x = 0\"},\r\n            {\r\n                \"type\": \"image_url\",\r\n                \"image_url\":{\r\n                    \"url\": \"https://straico.com/wp-content/uploads/2024/11/logo_straico.png\"\r\n                } \r\n            }\r\n        ]\r\n      },\r\n      {\r\n        \"role\": \"assistant\",\r\n        \"content\": \"To solve for x, we need to simplify the equation.\\n\\nThe given equation is:\\n10x - 4x + 2 = 0\\n\\nFirst, combine the like terms:\\n(10x - 4x) + 2 = 0\\n6x + 2 = 0\\n\\nNext, isolate x by subtracting 2 from both sides:\\n6x = -2\\n\\nNow, divide both sides by 6:\\nx = -2/6\\n\\nSimplify the fraction:\\nx = -1/3\\n\\nSo, the solution is x = -1/3.\"\r\n            },\r\n        {\r\n        \"role\": \"user\",\r\n        \"content\": [{\"type\": \"text\", \"text\": \"How much is x times 2\"}\r\n        ]\r\n      }\r\n    ]\r\n  }","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v0/chat/completions"},"status":"OK","code":200,"_postman_previewlanguage":"","header":[{"key":"Date","value":"Mon, 15 Sep 2025 21:34:37 GMT"},{"key":"Server","value":"Apache/2.4.52 (Ubuntu)"},{"key":"Content-Security-Policy","value":"default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"},{"key":"Cross-Origin-Resource-Policy","value":"same-origin"},{"key":"Origin-Agent-Cluster","value":"?1"},{"key":"Referrer-Policy","value":"no-referrer"},{"key":"Strict-Transport-Security","value":"max-age=15552000; includeSubDomains"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"X-DNS-Prefetch-Control","value":"off"},{"key":"X-Download-Options","value":"noopen"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"X-Permitted-Cross-Domain-Policies","value":"none"},{"key":"X-XSS-Protection","value":"0"},{"key":"Access-Control-Allow-Origin","value":"*"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Content-Length","value":"658"},{"key":"ETag","value":"W/\"292-AqUsz07Ee3wM/yJuLeNCdN+jfr0\""},{"key":"Via","value":"1.1 api.straico.com (Apache/2.4.52)"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"}],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n    \"id\": \"gen-1757972076-BXN9M9zaNrzhWTY3Aiam\",\n    \"provider\": \"Parasail\",\n    \"model\": \"meta-llama/llama-4-maverick\",\n    \"object\": \"chat.completion\",\n    \"created\": 1757972076,\n    \"choices\": [\n        {\n            \"logprobs\": null,\n            \"finish_reason\": \"stop\",\n            \"native_finish_reason\": \"stop\",\n            \"index\": 0,\n            \"message\": {\n                \"role\": \"assistant\",\n                \"content\": \"To find the value of x times 2, we need to multiply x by 2.\\n\\nx = -1/3\\n\\nx * 2 = (-1/3) * 2\\n= -2/3\\n\\nSo, x times 2 is -2/3.\",\n                \"refusal\": null,\n                \"reasoning\": null\n            }\n        }\n    ],\n    \"usage\": {\n        \"prompt_tokens\": 228,\n        \"completion_tokens\": 59,\n        \"total_tokens\": 287,\n        \"prompt_tokens_details\": {\n            \"cached_tokens\": 64\n        }\n    },\n    \"price\": {\n        \"input\": 0.03,\n        \"output\": 0.23,\n        \"total\": 0.26\n    },\n    \"words\": {\n        \"input\": 4,\n        \"output\": 33,\n        \"total\": 37\n    }\n}"}],"_postman_id":"f16ebe47-10a4-41eb-b2e2-97831e7ee6de"}],"id":"fdf5e52e-ce1e-4d78-b176-3cb192cc72bc","_postman_id":"fdf5e52e-ce1e-4d78-b176-3cb192cc72bc","description":""},{"name":"File","item":[{"name":"File upload","id":"83a7ec73-e1a1-4778-8f18-42f76fcb7d8b","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.straico.com/v0/file/upload","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint allows users to upload files for use in the Prompt Completion (v.1) endpoint. Files are securely stored in our cloud storage system, ensuring data integrity and accessibility.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>multipart/form-data</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<p>The request should be sent as <code>multipart/form-data</code> with a single file.</p>\n<ul>\n<li><p>Maximum file size: 25 MB.</p>\n</li>\n<li><p>Supported file types: pdf, docx, pptx, txt, xlsx, mp3, mp4, html, csv, json, py, php, js, css, cs, swift, kt, xml, ts, png, jpg, jpeg, webp, gif.</p>\n</li>\n</ul>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>file</code></td>\n<td>File</td>\n<td>Yes</td>\n<td>The file to be uploaded</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>The API responds with a JSON object containing the following information:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>url</code></td>\n<td>string</td>\n<td>The URL of the successfully uploaded file</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v0","file","upload"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"4f255b43-da21-47b9-a078-410bcbbafcba","name":"File upload","originalRequest":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"},{"key":"Content-Type","value":"multipart/form-data","type":"text"}],"body":{"mode":"formdata","formdata":[{"key":"file","type":"file","fileNotInWorkingDirectoryWarning":"This file isn't in your working directory. Teammates you share this request with won't be able to use this file. To make collaboration easier you can setup your working directory in Settings.","filesNotInWorkingDirectory":["/C:/Users/juans/Downloads/space_words.csv"],"src":"postman-cloud:///1ef453d0-84ab-44d0-8c18-4a9b30aeabc3"}]},"url":"https://api.straico.com/v0/file/upload"},"status":"Created","code":201,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n    \"data\": {\n        \"url\": \"https://prompt-rack.s3.amazonaws.com/api/1721329178731_space_words.csv\"\n    },\n    \"success\": true\n}"}],"_postman_id":"83a7ec73-e1a1-4778-8f18-42f76fcb7d8b"}],"id":"52704f81-dada-4264-890e-9f5396b8ea13","_postman_id":"52704f81-dada-4264-890e-9f5396b8ea13","description":""},{"name":"Image","item":[{"name":"Image generation","id":"973babac-a231-4dce-84c6-2a518df83ed1","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"body":{"mode":"raw","raw":"","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v0/image/generation","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint enables users to generate high-quality images based on textual descriptions. Leveraging advanced AI models, it can create diverse visual content for various applications, from concept art to marketing materials. You can generate up to 100 images per day via the API.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>application/json</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The AI model to use for image generation, the current models available are:  <br /><code>openai/dall-e-3</code>, <code>flux/1.1</code>, <code>ideogram/V_2A</code>, <code>ideogram/V_2A_TURBO</code>, <code>ideogram/V_2</code> , <code>ideogram/V_2_TURBO</code>, <code>ideogram/V_1</code>, <code>ideogram/V_1_TURBO, fal-ai/nano-banana</code>, <code>fal-ai/qwen-image</code></td>\n</tr>\n<tr>\n<td><code>description</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>A detailed textual description of the image to be generated</td>\n</tr>\n<tr>\n<td><code>size</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The desired image dimensions. Options: <code>square</code>, <code>landscape</code> &amp; <code>portrait</code></td>\n</tr>\n<tr>\n<td><code>variations</code></td>\n<td>integer</td>\n<td>Yes</td>\n<td>Number of images to generate. Minimum: 1, Maximum: 4</td>\n</tr>\n<tr>\n<td><code>seed</code></td>\n<td>integer</td>\n<td>No</td>\n<td>Applies only to flux and ideogram. The seed value controls result variability. Using the same seed and the same prompt with the same model version will produce the same image every time. The value must be between 0 and 2,147,483,647.</td>\n</tr>\n<tr>\n<td><code>enhance</code></td>\n<td>boolean</td>\n<td>No</td>\n<td>Use the original prompt to generate a new AI-enhanced prompt in order to achieve better final results.</td>\n</tr>\n<tr>\n<td><code>customEnhancer</code></td>\n<td>string</td>\n<td>No</td>\n<td>In addition to the <code>enhance</code> parameter, you can use your own prompt to give the AI instructions on how to enhance the original prompt.</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>The API responds with a JSON object containing the following information:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>zip</code></td>\n<td>string</td>\n<td>URL to download a ZIP file containing all generated images</td>\n</tr>\n<tr>\n<td><code>images</code></td>\n<td>array</td>\n<td>Array of URLs, each pointing to an individual generated image</td>\n</tr>\n<tr>\n<td><code>price</code></td>\n<td>object</td>\n<td>Detailed pricing information for the request. Includes <code>price_per_image</code>, <code>quantity_images</code>, and <code>total</code></td>\n</tr>\n<tr>\n<td><code>enhancer</code></td>\n<td>string</td>\n<td>Instructions that the AI uses to generate the new enhanced prompt.</td>\n</tr>\n<tr>\n<td><code>promptEnhanced</code></td>\n<td>string</td>\n<td>Instructions that the AI used to generate the new enhanced prompt,either predefined instructions if no custom enhancer was provided, or the same custom enhancer if one was.</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v0","image","generation"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"dbf41eb0-e16a-4ccb-9c5c-f7f475de906a","name":"Image generation","originalRequest":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"},{"key":"Content-Type","value":"application/json","type":"text"}],"body":{"mode":"raw","raw":"{\r\n    \"model\": \"ideogram/V_2A_TURBO\",\r\n    \"description\": \"A stunning depiction of the Milky Way galaxy alongside the Andromeda galaxy\",\r\n    \"size\": \"landscape\",\r\n    \"variations\": 2,\r\n    \"enhance\": true,\r\n    \"customEnhancer\": \"You are a creative expert tasked with deciding on instructions to improve original prompts by creating images with AI. Enhance the prompt to create a striking and impressive image, colorful and with great detail. You are free to add specific details to the instructions to achieve a better result.\"\r\n}","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v0/image/generation"},"status":"Created","code":201,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json","description":"","type":"text"}],"cookie":[],"responseTime":null,"body":"{\n    \"data\": {\n        \"zip\": \"https://prompt-rack.s3.amazonaws.com/api/1746900986664_2Z2kPCiG.zip\",\n        \"images\": [\n            \"https://prompt-rack.s3.amazonaws.com/api/1746900985694_2xxlGUfk.png\",\n            \"https://prompt-rack.s3.amazonaws.com/api/1746900986527_GsQdtdom.png\"\n        ],\n        \"price\": {\n            \"price_per_image\": 113,\n            \"quantity_images\": 2,\n            \"total\": 226\n        },\n        \"enhancer\": \"You are a creative expert tasked with deciding on instructions to improve original prompts by creating images with AI. Enhance the prompt to create a striking and impressive image, colorful and with great detail. You are free to add specific details to the instructions to achieve a better result. A stunning depiction of the Milky Way galaxy alongside the Andromeda galaxy. Provide only the enhanced prompt without additional comments\",\n        \"promptEnhanced\": \"Create a breathtaking and vibrant cosmic scene showcasing the Milky Way galaxy gracefully intertwined with the Andromeda galaxy. The image should feature a rich tapestry of stars in varying sizes and luminosities, with radiant colors including deep blues, purples, and brilliant whites, contrasting against the dark expanse of space. Incorporate swirling cosmic dust and nebulae that add texture and depth, blending hues of pink, orange, and teal. Include shining star clusters and distant celestial phenomena, emphasizing the grandeur of both galaxies. The foreground should feature a silhouette of a serene landscape, perhaps a mountain range or a tranquil lake reflecting the celestial spectacle above, enhancing the sense of scale and wonder. The overall composition should evoke a feeling of awe and the majesty of the universe.\"\n    },\n    \"success\": true\n}"},{"id":"9d2aba32-58ee-4cb0-84be-a8cc4cd010e0","name":"Image generation","originalRequest":{"method":"POST","header":[{"key":"Authorization","value":"Bearer $STRAICO_API_KEY","type":"text"}],"body":{"mode":"raw","raw":"{\r\n    \"model\": \"ideogram/V_2A_TURBO\",\r\n    \"description\": \"A stunning depiction of the Milky Way galaxy alongside the Andromeda galaxy\",\r\n    \"size\": \"landscape\",\r\n    \"variations\": 2,\r\n    \"enhance\": true,\r\n    \"customEnhancer\": \"You are a creative expert tasked with deciding on instructions to improve original prompts by creating images with AI. Enhance the prompt to create a striking and impressive image, colorful and with great detail. You are free to add specific details to the instructions to achieve a better result.\"\r\n}","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v0/image/generation"},"status":"Created","code":201,"_postman_previewlanguage":"json","header":[{"key":"Date","value":"Sat, 10 May 2025 17:47:13 GMT"},{"key":"Server","value":"Apache/2.4.52 (Ubuntu)"},{"key":"Content-Security-Policy","value":"default-src 'self';base-uri 'self';font-src 'self' https: data:;form-action 'self';frame-ancestors 'self';img-src 'self' data:;object-src 'none';script-src 'self';script-src-attr 'none';style-src 'self' https: 'unsafe-inline';upgrade-insecure-requests"},{"key":"Cross-Origin-Opener-Policy","value":"same-origin"},{"key":"Cross-Origin-Resource-Policy","value":"same-origin"},{"key":"Origin-Agent-Cluster","value":"?1"},{"key":"Referrer-Policy","value":"no-referrer"},{"key":"Strict-Transport-Security","value":"max-age=15552000; includeSubDomains"},{"key":"X-Content-Type-Options","value":"nosniff"},{"key":"X-DNS-Prefetch-Control","value":"off"},{"key":"X-Download-Options","value":"noopen"},{"key":"X-Frame-Options","value":"SAMEORIGIN"},{"key":"X-Permitted-Cross-Domain-Policies","value":"none"},{"key":"X-XSS-Protection","value":"0"},{"key":"Access-Control-Allow-Origin","value":"*"},{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Content-Length","value":"1590"},{"key":"ETag","value":"W/\"636-WFJjukF1EeGLZfx7gKr6xKSMGZw\""},{"key":"Via","value":"1.1 api.straico.com (Apache/2.4.52)"},{"key":"Keep-Alive","value":"timeout=5, max=100"},{"key":"Connection","value":"Keep-Alive"}],"cookie":[],"responseTime":null,"body":"{\n    \"data\": {\n        \"zip\": \"https://prompt-rack.s3.amazonaws.com/api/1746899233318_3QwAaKCY.zip\",\n        \"images\": [\n            \"https://prompt-rack.s3.amazonaws.com/api/1746899232449_GbGobssI.png\",\n            \"https://prompt-rack.s3.amazonaws.com/api/1746899233136_Z0eaj80I.png\"\n        ],\n        \"price\": {\n            \"price_per_image\": 113,\n            \"quantity_images\": 2,\n            \"total\": 226\n        },\n        \"enhancer\": \"You are a creative expert tasked with deciding on instructions to improve original prompts by creating images with AI. Enhance the prompt to create a striking and impressive image, colorful and with great detail. You are free to add specific details to the instructions to achieve a better result. A stunning depiction of the Milky Way galaxy alongside the Andromeda galaxy. Provide only the enhanced prompt without additional comments\",\n        \"promptEnhanced\": \"Create a breathtaking, high-resolution image of the Milky Way galaxy and the Andromeda galaxy in a dynamic cosmic dance. Showcase the vibrant colors of both galaxies, with swirling blues, deep purples, and sparkling whites, highlighting the contrast between the two. Include intricate details like glowing nebulae and clusters of stars, peppered across the canvas for depth. Position the Milky Way in the foreground with its bright core and spiral arms radiating outward, while the Andromeda galaxy appears in the background, partially overlapping and showcasing its own luminous features. Incorporate a starry dark sky, with a few distant celestial objects, to enhance the sense of vastness and wonder in this cosmic landscape. Aim for a sense of movement, as if the galaxies are dynamically interacting.\"\n    },\n    \"success\": true\n}"}],"_postman_id":"973babac-a231-4dce-84c6-2a518df83ed1"},{"name":"Image generation (v1.0)","id":"3e684589-bfd8-4687-9ed0-80e051c7c2bb","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"noauth","isInherited":false},"method":"POST","header":[],"body":{"mode":"urlencoded","urlencoded":[]},"url":"https://api.straico.com/v1/image/generation","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint enables users to generate high-quality images based on textual descriptions. Leveraging advanced AI models, it can create diverse visual content for various applications, from concept art to marketing materials.</p>\n<p>This new version of image generation includes new and upgraded models.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>application/json</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The AI model to use for image generation, the current models available are:  <br /><code>fal-ai/flux/dev</code> ,  <br /><code>fal-ai/imagen4/preview</code> ,  <br /><code>fal-ai/bagel</code> ,  <br /><code>fal-ai/recraft/v3/text-to-image</code> ,  <br /><code>fal-ai/ideogram/v3</code> , <code>openai/gpt-image-1</code> , <code>fal-ai/nano-banana</code>, <code>fal-ai/qwen-image</code>, <code>fal-ai/nano-banana/edit</code> , <code>fal-ai/flux-pro/kontext</code> , <code>flux-pro/kontext/text-to-image</code>, <code>fal-ai/bytedance/seedream/v4/edit</code> , <code>fal-ai/ideogram/v3/replace-background</code>  <br />The following are inherited models from v0:  <br /><code>openai/dall-e-3</code>, <code>flux/1.1</code>, <code>ideogram/V_2A</code>, <code>ideogram/V_2A_TURBO</code>, <code>ideogram/V_2</code> , <code>ideogram/V_2_TURBO</code>, <code>ideogram/V_1</code>, <code>ideogram/V_1_TURBO</code></td>\n</tr>\n<tr>\n<td><code>description</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>A detailed textual description of the image to be generated</td>\n</tr>\n<tr>\n<td><code>size</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The desired image dimensions. Options: <code>square</code>, <code>landscape</code> &amp; <code>portrait</code>. Additionally, you can use <code>square_hd</code> for <code>fal-ai/bytedance/seedream/v4/edit</code> model</td>\n</tr>\n<tr>\n<td><code>variations</code></td>\n<td>integer</td>\n<td>Yes</td>\n<td>Number of images to generate. Minimum: 1, Maximum: 4</td>\n</tr>\n<tr>\n<td><code>image_urls</code></td>\n<td>array</td>\n<td>No</td>\n<td>An array of image urls that will be used as context. Apply to <code>fal-ai/nano-banana-edit</code> and <code>fal-ai/bytedance/seedream/v4/edit</code></td>\n</tr>\n<tr>\n<td><code>image_url</code></td>\n<td>string</td>\n<td>No</td>\n<td>String with the image url to be used as context or edition base. Apply to <code>fal-ai/ideogram/v3/replace-background</code> and <code>fal-ai/flux-pro/kontext</code></td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>The API responds with a JSON object containing the following information:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>zip</code></td>\n<td>string</td>\n<td>URL to download a ZIP file containing all generated images</td>\n</tr>\n<tr>\n<td><code>images</code></td>\n<td>array</td>\n<td>Array of URLs, each pointing to an individual generated image</td>\n</tr>\n<tr>\n<td><code>price</code></td>\n<td>object</td>\n<td>Detailed pricing information for the request. Includes <code>price_per_image</code>, <code>quantity_images</code>, and <code>total</code></td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v1","image","generation"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"aed21df8-54b3-480a-b647-06e1d813fc25","name":"Image generation (v1.0)","originalRequest":{"method":"GET","header":[]},"_postman_previewlanguage":"","header":[],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n    \"data\": {\n        \"zip\": \"https://prompt-rack.s3.amazonaws.com/api/1752262731189_z4H4m4N2.zip\",\n        \"images\": [\n            \"https://prompt-rack.s3.amazonaws.com/api/1752262730209_5l5ZmhTb.png\"\n        ],\n        \"price\": {\n            \"price_per_image\": 133,\n            \"quantity_images\": 1,\n            \"total\": 133\n        }\n    },\n    \"success\": true\n}"}],"_postman_id":"3e684589-bfd8-4687-9ed0-80e051c7c2bb"}],"id":"9aa7d9e5-a0d8-40bd-a927-95a87b65e353","_postman_id":"9aa7d9e5-a0d8-40bd-a927-95a87b65e353","description":""},{"name":"Video","item":[{"name":"Image to video generation","id":"56fff9cd-a23f-466a-8010-f2af8e7f949c","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.straico.com/v1/image/tovideo","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint enables users to generate high-quality videos based on attached images.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>application/json</code></p>\n</li>\n</ul>\n<h2 id=\"request-body\">Request Body</h2>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The AI model to use for image-to-video generation, the current models available are:  <br /><code>fal-ai/kling-video/v2.1/master/image-to-video, fal-ai/veo2/image-to-video, fal-ai/vidu/q1/image-to-video, gen3a_turbo, gen4_turbo, fal-ai/kling-video/2.5-turbo/pro/image-to-video</code></td>\n</tr>\n<tr>\n<td><code>description</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>A detailed textual description of the video to be generated</td>\n</tr>\n<tr>\n<td><code>size</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The desired image dimensions. Options: <code>square</code>, <code>landscape</code> &amp; <code>portrait</code></td>\n</tr>\n<tr>\n<td><code>duration</code></td>\n<td>integer</td>\n<td>Yes</td>\n<td>The duration in seconds of the video. Usually, 5 is a valid value, but the valid durations depend on the model.</td>\n</tr>\n<tr>\n<td><code>image_url</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The url of the image to be taken as basis of the output video.</td>\n</tr>\n</tbody>\n</table>\n</div><h2 id=\"response\">Response</h2>\n<p>The API responds with a JSON object containing the following information:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Field</th>\n<th>Type</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>zip</code></td>\n<td>string</td>\n<td>URL to download a ZIP file containing all generated images</td>\n</tr>\n<tr>\n<td><code>video</code></td>\n<td>array</td>\n<td>Array of URLs, each pointing to an individual generated image</td>\n</tr>\n<tr>\n<td><code>price</code></td>\n<td>object</td>\n<td>Detailed pricing information for the request. Includes <code>price_per_video</code>and <code>total</code></td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v1","image","tovideo"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"419895c5-3f5f-4d94-96a6-8bf188e256e5","name":"Image to video generation","originalRequest":{"method":"POST","header":[],"url":"https://api.straico.com/v1/image/tovideo"},"_postman_previewlanguage":"","header":[],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n    \"data\": {\n        \"zip\": \"https://prompt-rack.s3.amazonaws.com/api/1752262975956_UzVvx0WL.zip\",\n        \"video\": \"https://prompt-rack.s3.amazonaws.com/api/1752262974740_PImeWzut.mp4\",\n        \"price\": {\n            \"price_per_video\": 833,\n            \"total\": 833\n        }\n    },\n    \"success\": true\n}"}],"_postman_id":"56fff9cd-a23f-466a-8010-f2af8e7f949c"}],"id":"3100ea7e-10be-4307-bfc2-11a9d45baa66","_postman_id":"3100ea7e-10be-4307-bfc2-11a9d45baa66","description":""},{"name":"TTS","item":[{"name":"Eleven Labs Voices","id":"4080895d-c2b1-4199-a176-47ffb5d2ad7e","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"GET","header":[],"url":"https://api.straico.com/v1/tts/elevenlabslist","description":"<h2 id=\"overview\">Overview</h2>\n<p>This endpoint returns the list of available voices in Eleven Labs. You can retrieve the ids for the endpoint \"Create Text To Speech\".</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li>Authorization: <code>Bearer $STRAICO_API_KEY</code></li>\n</ul>\n","urlObject":{"protocol":"https","path":["v1","tts","elevenlabslist"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"3629235e-20e9-454b-aef5-30408e32f618","name":"Eleven Labs Voices","originalRequest":{"method":"GET","header":[]},"_postman_previewlanguage":"","header":[],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n    \"data\": {\n        \"voices\": [\n            {\n                \"voice_id\": \"9BWtsMINqrJLrRacOk9x\",\n                \"name\": \"Aria\",\n                \"samples\": null,\n                \"category\": \"premade\",\n                \"fine_tuning\": {\n                    \"is_allowed_to_fine_tune\": true,\n                    \"state\": {\n                        \"eleven_multilingual_v2\": \"fine_tuned\",\n                        \"eleven_turbo_v2_5\": \"fine_tuned\",\n                        \"eleven_flash_v2_5\": \"fine_tuned\",\n                        \"eleven_v2_flash\": \"fine_tuned\",\n                        \"eleven_v2_5_flash\": \"fine_tuned\",\n                        \"eleven_turbo_v2\": \"fine_tuned\",\n                        \"eleven_flash_v2\": \"fine_tuned\"\n                    },\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"manual_verification_requested\": false,\n                    \"language\": \"en\",\n                    \"progress\": {\n                        \"eleven_flash_v2_5\": 1,\n                        \"eleven_v2_flash\": 1,\n                        \"eleven_flash_v2\": 1,\n                        \"eleven_v2_5_flash\": 1\n                    },\n                    \"message\": {\n                        \"eleven_flash_v2_5\": \"Done!\",\n                        \"eleven_v2_flash\": \"Done!\",\n                        \"eleven_flash_v2\": \"Done!\",\n                        \"eleven_v2_5_flash\": \"Done!\"\n                    },\n                    \"dataset_duration_seconds\": null,\n                    \"verification_attempts\": null,\n                    \"slice_ids\": null,\n                    \"manual_verification\": null,\n                    \"max_verification_attempts\": 5,\n                    \"next_max_verification_attempts_reset_unix_ms\": 1700000000000\n                },\n                \"labels\": {\n                    \"accent\": \"american\",\n                    \"descriptive\": \"husky\",\n                    \"age\": \"middle_aged\",\n                    \"gender\": \"female\",\n                    \"language\": \"en\",\n                    \"use_case\": \"informative_educational\"\n                },\n                \"description\": \"A middle-aged female with an African-American accent. Calm with a hint of rasp.\",\n                \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/405766b8-1f4e-4d3c-aba1-6f25333823ec.mp3\",\n                \"available_for_tiers\": [],\n                \"settings\": null,\n                \"sharing\": null,\n                \"high_quality_base_model_ids\": [\n                    \"eleven_v2_flash\",\n                    \"eleven_flash_v2\",\n                    \"eleven_turbo_v2_5\",\n                    \"eleven_multilingual_v2\",\n                    \"eleven_v2_5_flash\",\n                    \"eleven_flash_v2_5\",\n                    \"eleven_turbo_v2\"\n                ],\n                \"verified_languages\": [\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_v2_flash\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/405766b8-1f4e-4d3c-aba1-6f25333823ec.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_flash_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/405766b8-1f4e-4d3c-aba1-6f25333823ec.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2_5\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/405766b8-1f4e-4d3c-aba1-6f25333823ec.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/405766b8-1f4e-4d3c-aba1-6f25333823ec.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_v2_5_flash\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/405766b8-1f4e-4d3c-aba1-6f25333823ec.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_flash_v2_5\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/405766b8-1f4e-4d3c-aba1-6f25333823ec.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/405766b8-1f4e-4d3c-aba1-6f25333823ec.mp3\"\n                    },\n                    {\n                        \"language\": \"fr\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"fr-FR\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/ae97c224-d4d0-4e03-a9ab-36f031f48e94.mp3\"\n                    },\n                    {\n                        \"language\": \"zh\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"cmn-CN\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/b6a58993-1cf7-4ea8-b3b1-a60b3641d5bf.mp3\"\n                    },\n                    {\n                        \"language\": \"tr\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"tr-TR\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/9BWtsMINqrJLrRacOk9x/9342915e-dd15-4a11-af37-96670decd65a.mp3\"\n                    }\n                ],\n                \"safety_control\": null,\n                \"voice_verification\": {\n                    \"requires_verification\": false,\n                    \"is_verified\": false,\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"language\": null,\n                    \"verification_attempts\": null\n                },\n                \"permission_on_resource\": null,\n                \"is_owner\": false,\n                \"is_legacy\": false,\n                \"is_mixed\": false,\n                \"created_at_unix\": null\n            },\n            {\n                \"voice_id\": \"EXAVITQu4vr4xnSDxMaL\",\n                \"name\": \"Sarah\",\n                \"samples\": null,\n                \"category\": \"premade\",\n                \"fine_tuning\": {\n                    \"is_allowed_to_fine_tune\": true,\n                    \"state\": {},\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"manual_verification_requested\": false,\n                    \"language\": \"en\",\n                    \"progress\": {},\n                    \"message\": {},\n                    \"dataset_duration_seconds\": null,\n                    \"verification_attempts\": null,\n                    \"slice_ids\": null,\n                    \"manual_verification\": null,\n                    \"max_verification_attempts\": 5,\n                    \"next_max_verification_attempts_reset_unix_ms\": 1700000000000\n                },\n                \"labels\": {\n                    \"accent\": \"american\",\n                    \"descriptive\": \"professional\",\n                    \"age\": \"young\",\n                    \"gender\": \"female\",\n                    \"language\": \"en\",\n                    \"use_case\": \"entertainment_tv\"\n                },\n                \"description\": \"Young adult woman with a confident and warm, mature quality and a reassuring, professional tone.\",\n                \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/01a3e33c-6e99-4ee7-8543-ff2216a32186.mp3\",\n                \"available_for_tiers\": [],\n                \"settings\": null,\n                \"sharing\": null,\n                \"high_quality_base_model_ids\": [\n                    \"eleven_turbo_v2\",\n                    \"eleven_multilingual_v2\",\n                    \"eleven_turbo_v2_5\"\n                ],\n                \"verified_languages\": [\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/01a3e33c-6e99-4ee7-8543-ff2216a32186.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/01a3e33c-6e99-4ee7-8543-ff2216a32186.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2_5\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/01a3e33c-6e99-4ee7-8543-ff2216a32186.mp3\"\n                    },\n                    {\n                        \"language\": \"fr\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"fr-FR\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/093154f2-dd9f-4a4c-b5c3-81836c7ac3f6.mp3\"\n                    },\n                    {\n                        \"language\": \"ar\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": null,\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/ecb43dfe-b9f3-4691-8ee8-90c5ad3f4dbb.mp3\"\n                    },\n                    {\n                        \"language\": \"zh\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"cmn-CN\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/d9b9f54d-c08b-426e-80f3-b4f2089c3a59.mp3\"\n                    },\n                    {\n                        \"language\": \"es\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": null,\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/57ab5344-ed96-46fc-b319-82dc1c89bf66.mp3\"\n                    },\n                    {\n                        \"language\": \"hi\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"hi-IN\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/EXAVITQu4vr4xnSDxMaL/2f2caaae-ad5e-4ff2-a084-7a6067913a69.mp3\"\n                    }\n                ],\n                \"safety_control\": null,\n                \"voice_verification\": {\n                    \"requires_verification\": false,\n                    \"is_verified\": false,\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"language\": null,\n                    \"verification_attempts\": null\n                },\n                \"permission_on_resource\": null,\n                \"is_owner\": false,\n                \"is_legacy\": false,\n                \"is_mixed\": false,\n                \"created_at_unix\": null\n            },\n            {\n                \"voice_id\": \"FGY2WhTYpPnrIDTdsKH5\",\n                \"name\": \"Laura\",\n                \"samples\": null,\n                \"category\": \"premade\",\n                \"fine_tuning\": {\n                    \"is_allowed_to_fine_tune\": true,\n                    \"state\": {\n                        \"eleven_multilingual_v2\": \"fine_tuned\",\n                        \"eleven_turbo_v2_5\": \"fine_tuned\",\n                        \"eleven_flash_v2_5\": \"fine_tuned\",\n                        \"eleven_v2_flash\": \"fine_tuned\",\n                        \"eleven_v2_5_flash\": \"fine_tuned\",\n                        \"eleven_turbo_v2\": \"fine_tuned\",\n                        \"eleven_flash_v2\": \"fine_tuned\"\n                    },\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"manual_verification_requested\": false,\n                    \"language\": \"en\",\n                    \"progress\": {\n                        \"eleven_flash_v2_5\": 1,\n                        \"eleven_v2_flash\": 1,\n                        \"eleven_flash_v2\": 1,\n                        \"eleven_v2_5_flash\": 1\n                    },\n                    \"message\": {\n                        \"eleven_flash_v2_5\": \"Done!\",\n                        \"eleven_v2_flash\": \"Done!\",\n                        \"eleven_flash_v2\": \"Done!\",\n                        \"eleven_v2_5_flash\": \"Done!\"\n                    },\n                    \"dataset_duration_seconds\": null,\n                    \"verification_attempts\": null,\n                    \"slice_ids\": null,\n                    \"manual_verification\": null,\n                    \"max_verification_attempts\": 5,\n                    \"next_max_verification_attempts_reset_unix_ms\": 1700000000000\n                },\n                \"labels\": {\n                    \"accent\": \"american\",\n                    \"descriptive\": \"sassy\",\n                    \"age\": \"young\",\n                    \"gender\": \"female\",\n                    \"language\": \"en\",\n                    \"use_case\": \"social_media\"\n                },\n                \"description\": \"This young adult female voice delivers sunny enthusiasm with a quirky attitude.\",\n                \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/FGY2WhTYpPnrIDTdsKH5/67341759-ad08-41a5-be6e-de12fe448618.mp3\",\n                \"available_for_tiers\": [],\n                \"settings\": null,\n                \"sharing\": null,\n                \"high_quality_base_model_ids\": [\n                    \"eleven_v2_flash\",\n                    \"eleven_flash_v2\",\n                    \"eleven_turbo_v2_5\",\n                    \"eleven_multilingual_v2\",\n                    \"eleven_v2_5_flash\",\n                    \"eleven_flash_v2_5\",\n                    \"eleven_turbo_v2\"\n                ],\n                \"verified_languages\": [\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_v2_flash\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/FGY2WhTYpPnrIDTdsKH5/67341759-ad08-41a5-be6e-de12fe448618.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_flash_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/FGY2WhTYpPnrIDTdsKH5/67341759-ad08-41a5-be6e-de12fe448618.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2_5\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/FGY2WhTYpPnrIDTdsKH5/67341759-ad08-41a5-be6e-de12fe448618.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/FGY2WhTYpPnrIDTdsKH5/67341759-ad08-41a5-be6e-de12fe448618.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_v2_5_flash\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n   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            },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_flash_v2_5\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/iP95p4xoKVk53GoZ742B/3f4bde72-cc48-40dd-829f-57fbf906f4d7.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/iP95p4xoKVk53GoZ742B/3f4bde72-cc48-40dd-829f-57fbf906f4d7.mp3\"\n                    },\n                    {\n                        \"language\": \"fr\",\n                        \"model_id\": 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       \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/iP95p4xoKVk53GoZ742B/00131b8d-38d7-4f63-91ed-91ddbe227a7d.mp3\"\n                    },\n                    {\n                        \"language\": \"sv\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"sv-SE\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/iP95p4xoKVk53GoZ742B/8710d1a0-bea3-41c9-a051-e5a4593f6a32.mp3\"\n                    },\n                    {\n                        \"language\": \"hi\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"hi-IN\",\n                        \"preview_url\": 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              \"fine_tuning\": {\n                    \"is_allowed_to_fine_tune\": true,\n                    \"state\": {\n                        \"eleven_flash_v2_5\": \"fine_tuned\",\n                        \"eleven_turbo_v2\": \"fine_tuned\",\n                        \"eleven_flash_v2\": \"fine_tuned\",\n                        \"eleven_v2_flash\": \"fine_tuned\",\n                        \"eleven_v2_5_flash\": \"fine_tuned\"\n                    },\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"manual_verification_requested\": false,\n                    \"language\": \"en\",\n                    \"progress\": {\n                        \"eleven_flash_v2_5\": 1,\n                        \"eleven_v2_flash\": 1,\n                        \"eleven_flash_v2\": 1,\n                        \"eleven_v2_5_flash\": 1\n                    },\n                    \"message\": {\n                        \"eleven_flash_v2_5\": \"Done!\",\n                        \"eleven_turbo_v2\": \"\",\n                        \"eleven_flash_v2\": \"Done!\",\n                        \"eleven_v2_flash\": \"Done!\",\n                        \"eleven_v2_5_flash\": \"Done!\"\n                    },\n                    \"dataset_duration_seconds\": null,\n                    \"verification_attempts\": null,\n                    \"slice_ids\": null,\n                    \"manual_verification\": null,\n                    \"max_verification_attempts\": 5,\n                    \"next_max_verification_attempts_reset_unix_ms\": 1700000000000\n                },\n                \"labels\": {\n                    \"accent\": \"american\",\n                    \"descriptive\": \"classy\",\n                    \"age\": \"middle_aged\",\n                    \"gender\": \"male\",\n                    \"language\": \"en\",\n                    \"use_case\": \"social_media\"\n                },\n                \"description\": \"Middle-aged man with a resonant and comforting tone. Great for narrations and advertisements.\",\n                \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/nPczCjzI2devNBz1zQrb/2dd3e72c-4fd3-42f1-93ea-abc5d4e5aa1d.mp3\",\n                \"available_for_tiers\": [],\n                \"settings\": null,\n                \"sharing\": null,\n                \"high_quality_base_model_ids\": [\n                    \"eleven_v2_flash\",\n                    \"eleven_flash_v2\",\n                    \"eleven_turbo_v2_5\",\n                    \"eleven_multilingual_v2\",\n                    \"eleven_v2_5_flash\",\n                    \"eleven_flash_v2_5\",\n                    \"eleven_turbo_v2\"\n                ],\n                \"verified_languages\": [\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_v2_flash\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/nPczCjzI2devNBz1zQrb/2dd3e72c-4fd3-42f1-93ea-abc5d4e5aa1d.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_flash_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/nPczCjzI2devNBz1zQrb/2dd3e72c-4fd3-42f1-93ea-abc5d4e5aa1d.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2_5\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": 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            },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_flash_v2_5\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/nPczCjzI2devNBz1zQrb/2dd3e72c-4fd3-42f1-93ea-abc5d4e5aa1d.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2\",\n                        \"accent\": \"american\",\n                        \"locale\": \"en-US\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/nPczCjzI2devNBz1zQrb/2dd3e72c-4fd3-42f1-93ea-abc5d4e5aa1d.mp3\"\n                    },\n                    {\n                        \"language\": \"ar\",\n                        \"model_id\": 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        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/nPczCjzI2devNBz1zQrb/7c88e63a-f321-40d6-ac25-899559a3ff26.mp3\"\n                    },\n                    {\n                        \"language\": \"de\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"de-DE\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/nPczCjzI2devNBz1zQrb/0b33b286-75f0-404f-bcec-68a56e6b37e8.mp3\"\n                    },\n                    {\n                        \"language\": \"nl\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"nl-NL\",\n                        \"preview_url\": 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                 },\n                    {\n                        \"language\": \"hi\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"hi-IN\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/nPczCjzI2devNBz1zQrb/945c1b51-4743-43ae-b0e7-7cab7e08a85e.mp3\"\n                    }\n                ],\n                \"safety_control\": null,\n                \"voice_verification\": {\n                    \"requires_verification\": false,\n                    \"is_verified\": false,\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"language\": null,\n                    \"verification_attempts\": null\n                },\n                \"permission_on_resource\": null,\n                \"is_owner\": false,\n                \"is_legacy\": false,\n                \"is_mixed\": false,\n                \"created_at_unix\": null\n            },\n            {\n                \"voice_id\": \"onwK4e9ZLuTAKqWW03F9\",\n                \"name\": \"Daniel\",\n                \"samples\": null,\n                \"category\": \"premade\",\n                \"fine_tuning\": {\n                    \"is_allowed_to_fine_tune\": true,\n                    \"state\": {\n                        \"eleven_flash_v2_5\": \"fine_tuned\",\n                        \"eleven_turbo_v2\": \"fine_tuned\",\n                        \"eleven_flash_v2\": \"fine_tuned\",\n                        \"eleven_v2_flash\": \"fine_tuned\",\n                        \"eleven_v2_5_flash\": \"fine_tuned\"\n                    },\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"manual_verification_requested\": false,\n                    \"language\": \"en\",\n                    \"progress\": {\n                        \"eleven_flash_v2_5\": 1,\n                        \"eleven_v2_flash\": 1,\n                        \"eleven_flash_v2\": 1,\n                        \"eleven_v2_5_flash\": 1\n                    },\n                    \"message\": {\n                        \"eleven_flash_v2_5\": \"Done!\",\n                        \"eleven_turbo_v2\": \"\",\n                        \"eleven_flash_v2\": \"Done!\",\n                        \"eleven_v2_flash\": \"Done!\",\n                        \"eleven_v2_5_flash\": \"Done!\"\n                    },\n                    \"dataset_duration_seconds\": null,\n                    \"verification_attempts\": null,\n                    \"slice_ids\": null,\n                    \"manual_verification\": null,\n                    \"max_verification_attempts\": 5,\n                    \"next_max_verification_attempts_reset_unix_ms\": 1700000000000\n                },\n                \"labels\": {\n                    \"accent\": \"british\",\n                    \"descriptive\": \"formal\",\n                    \"age\": \"middle_aged\",\n                    \"gender\": \"male\",\n                    \"language\": \"en\",\n                    \"use_case\": \"informative_educational\"\n                },\n                \"description\": \"A strong voice perfect for delivering a professional broadcast or news story.\",\n                \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/onwK4e9ZLuTAKqWW03F9/7eee0236-1a72-4b86-b303-5dcadc007ba9.mp3\",\n                \"available_for_tiers\": [],\n                \"settings\": null,\n                \"sharing\": null,\n                \"high_quality_base_model_ids\": [\n                    \"eleven_v2_flash\",\n                    \"eleven_flash_v2\",\n                    \"eleven_turbo_v2_5\",\n                    \"eleven_multilingual_v2\",\n                    \"eleven_multilingual_v1\",\n                    \"eleven_v2_5_flash\",\n                    \"eleven_flash_v2_5\",\n                    \"eleven_turbo_v2\"\n                ],\n                \"verified_languages\": [\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_v2_flash\",\n                        \"accent\": \"british\",\n                        \"locale\": \"en-GB\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/onwK4e9ZLuTAKqWW03F9/7eee0236-1a72-4b86-b303-5dcadc007ba9.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_flash_v2\",\n                        \"accent\": \"british\",\n                        \"locale\": \"en-GB\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/onwK4e9ZLuTAKqWW03F9/7eee0236-1a72-4b86-b303-5dcadc007ba9.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2_5\",\n                        \"accent\": \"british\",\n                        \"locale\": \"en-GB\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/onwK4e9ZLuTAKqWW03F9/7eee0236-1a72-4b86-b303-5dcadc007ba9.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"british\",\n                        \"locale\": \"en-GB\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/onwK4e9ZLuTAKqWW03F9/7eee0236-1a72-4b86-b303-5dcadc007ba9.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": 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\"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/onwK4e9ZLuTAKqWW03F9/7eee0236-1a72-4b86-b303-5dcadc007ba9.mp3\"\n                    },\n                    {\n                        \"language\": \"en\",\n                        \"model_id\": \"eleven_turbo_v2\",\n                        \"accent\": \"british\",\n                        \"locale\": \"en-GB\",\n                        \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/premade/voices/onwK4e9ZLuTAKqWW03F9/7eee0236-1a72-4b86-b303-5dcadc007ba9.mp3\"\n                    },\n                    {\n                        \"language\": \"de\",\n                        \"model_id\": \"eleven_multilingual_v2\",\n                        \"accent\": \"standard\",\n                        \"locale\": \"de-DE\",\n                        \"preview_url\": 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                       \"accent\": \"colombian\",\n                        \"use_case\": \"narrative_story\",\n                        \"locale\": \"es-CO\"\n                    },\n                    \"review_status\": \"not_requested\",\n                    \"review_message\": null,\n                    \"enabled_in_library\": false,\n                    \"instagram_username\": null,\n                    \"twitter_username\": null,\n                    \"youtube_username\": null,\n                    \"tiktok_username\": null,\n                    \"moderation_check\": null,\n                    \"reader_restricted_on\": null\n                },\n                \"high_quality_base_model_ids\": [\n                    \"eleven_turbo_v2_5\",\n                    \"eleven_v2_5_flash\",\n                    \"eleven_flash_v2_5\",\n                    \"eleven_multilingual_v2\"\n                ],\n                \"verified_languages\": [],\n                \"safety_control\": null,\n                \"voice_verification\": {\n                    \"requires_verification\": false,\n                    \"is_verified\": false,\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"language\": null,\n                    \"verification_attempts\": null\n                },\n                \"permission_on_resource\": \"admin\",\n                \"is_owner\": false,\n                \"is_legacy\": false,\n                \"is_mixed\": false,\n                \"created_at_unix\": 1747359066\n            },\n            {\n                \"voice_id\": \"ucWwAruuGtBeHfnAaKcJ\",\n                \"name\": \"JuanRestrepoPro\",\n                \"samples\": [\n                    {\n                        \"sample_id\": \"AZsK04sQ8o8kxWbbUuXc\",\n                        \"file_name\": \"Calle 46 8.mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 623332,\n                        \"hash\": \"1aa6319764f83021bb9e00c2bfa1b39d\",\n                        \"duration_secs\": 72.53333333333333,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    },\n                    {\n                        \"sample_id\": \"jHsHwiLQvYcx2zGlxwEc\",\n                        \"file_name\": \"Calle 46 3.mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 811098,\n                        \"hash\": \"2bac2e9d26db3a9fd9238c3ab2252945\",\n                        \"duration_secs\": 97.23734693877552,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    },\n                    {\n                        \"sample_id\": \"YF3tALvVChQq01WlDlcO\",\n                        \"file_name\": \"Calle 46 4.mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 705560,\n                        \"hash\": \"2c41fb19d3c31f4abb476a4250bc5bba\",\n                        \"duration_secs\": 84.41598639455782,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    },\n                    {\n                        \"sample_id\": \"R9MqeasQI8rIBbhXGcSa\",\n                        \"file_name\": \"Calle 46 2.mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 712356,\n                        \"hash\": \"2f79fd57d70603f74ede73e7358420bd\",\n                        \"duration_secs\": 85.03467120181406,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    },\n                    {\n                        \"sample_id\": \"c9rCiv6V6lM0vAyrKMhg\",\n                        \"file_name\": \"Calle 46 9.mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 391919,\n                        \"hash\": \"592113feaf43120d866407e2b65f0c31\",\n                        \"duration_secs\": 45.504013605442175,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    },\n                    {\n                        \"sample_id\": \"5abRlE7BmUNmwpfxl5QA\",\n                        \"file_name\": \"Calle 46 2_join (1).mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 24926400,\n                        \"hash\": \"b87eebb5328256c67acf06317a9fc23f\",\n                        \"duration_secs\": 623.16,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    },\n                    {\n                        \"sample_id\": \"F5BlR7eRmtF3fvA8VBvv\",\n                        \"file_name\": \"Calle 46 7.mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 630217,\n                        \"hash\": \"ba4fbbc509131f3747f167606eac143e\",\n                        \"duration_secs\": 75.47734693877551,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    },\n                    {\n                        \"sample_id\": \"1LSBgJMny1fdgdMzwz5h\",\n                        \"file_name\": \"Calle 46 6.mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 436885,\n                        \"hash\": \"c8934d2d80d65a529f28e95c8e38eede\",\n                        \"duration_secs\": 52.41598639455783,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    },\n                    {\n                        \"sample_id\": \"AnZAXP1u6ggFxvsdDZ5f\",\n                        \"file_name\": \"Calle 46 5.mp3\",\n                        \"mime_type\": \"audio/mpeg\",\n                        \"size_bytes\": 921122,\n                        \"hash\": \"fd1ec62b114eeac35a6c0ae453d3b9f2\",\n                        \"duration_secs\": 110.4853514739229,\n                        \"remove_background_noise\": null,\n                        \"has_isolated_audio\": null,\n                        \"has_isolated_audio_preview\": null,\n                        \"speaker_separation\": null,\n                        \"trim_start\": null,\n                        \"trim_end\": null\n                    }\n                ],\n                \"category\": \"professional\",\n                \"fine_tuning\": {\n                    \"is_allowed_to_fine_tune\": true,\n                    \"state\": {\n                        \"eleven_multilingual_v2\": \"fine_tuned\",\n                        \"eleven_turbo_v2_5\": \"fine_tuned\",\n                        \"eleven_multilingual_sts_v2\": \"fine_tuned\",\n                        \"eleven_flash_v2_5\": \"fine_tuned\",\n                        \"eleven_v2_5_flash\": \"fine_tuned\"\n                    },\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"manual_verification_requested\": false,\n                    \"language\": \"es\",\n                    \"progress\": {},\n                    \"message\": {\n                        \"eleven_multilingual_v2\": \"\",\n                        \"eleven_turbo_v2_5\": \"\",\n                        \"eleven_multilingual_sts_v2\": \"\",\n                        \"eleven_flash_v2_5\": \"\",\n                        \"eleven_v2_5_flash\": \"\"\n                    },\n                    \"dataset_duration_seconds\": null,\n                    \"verification_attempts\": null,\n                    \"slice_ids\": null,\n                    \"manual_verification\": null,\n                    \"max_verification_attempts\": 0,\n                    \"next_max_verification_attempts_reset_unix_ms\": 0\n                },\n                \"labels\": {\n                    \"accent\": \"colombian\",\n                    \"descriptive\": \"casual\",\n                    \"age\": \"young\",\n                    \"gender\": \"male\",\n                    \"language\": \"es\",\n                    \"use_case\": \"conversational\"\n                },\n                \"description\": \"A young engineer with a Paisa accent.\",\n                \"preview_url\": \"https://storage.googleapis.com/eleven-public-prod/database/user/ZHF8yXWl4dWrokU0MnDSKn6MDpj2/voices/ucWwAruuGtBeHfnAaKcJ/28b10567-4f04-4434-911e-5f659aa8cea5.mp3\",\n                \"available_for_tiers\": [],\n                \"settings\": null,\n                \"sharing\": {\n                    \"status\": \"copied\",\n                    \"history_item_sample_id\": null,\n                    \"date_unix\": 1747359299,\n                    \"whitelisted_emails\": [],\n                    \"public_owner_id\": \"04c442e64ca4c47f3a317da74d7562266d20f04898e9aa0706c4531eac157a32\",\n                    \"original_voice_id\": \"ucWwAruuGtBeHfnAaKcJ\",\n                    \"financial_rewards_enabled\": false,\n                    \"free_users_allowed\": true,\n                    \"live_moderation_enabled\": false,\n                    \"rate\": 1,\n                    \"fiat_rate\": null,\n                    \"notice_period\": 0,\n                    \"disable_at_unix\": null,\n                    \"voice_mixing_allowed\": false,\n                    \"featured\": false,\n                    \"category\": \"professional\",\n                    \"reader_app_enabled\": null,\n                    \"image_url\": \"\",\n                    \"ban_reason\": null,\n                    \"liked_by_count\": 0,\n                    \"cloned_by_count\": 0,\n                    \"name\": \"JuanRestrepoPro\",\n                    \"description\": \"A young engineer with a Paisa accent.\",\n                    \"labels\": {\n                        \"language\": \"es\",\n                        \"descriptive\": \"casual\",\n                        \"age\": \"young\",\n                        \"gender\": \"male\",\n                        \"accent\": \"colombian\",\n                        \"use_case\": \"conversational\",\n                        \"locale\": \"es-CO\"\n                    },\n                    \"review_status\": \"not_requested\",\n                    \"review_message\": null,\n                    \"enabled_in_library\": false,\n                    \"instagram_username\": null,\n                    \"twitter_username\": null,\n                    \"youtube_username\": null,\n                    \"tiktok_username\": null,\n                    \"moderation_check\": null,\n                    \"reader_restricted_on\": null\n                },\n                \"high_quality_base_model_ids\": [\n                    \"eleven_multilingual_v2\",\n                    \"eleven_turbo_v2_5\",\n                    \"eleven_v2_5_flash\",\n                    \"eleven_flash_v2_5\",\n                    \"eleven_multilingual_sts_v2\"\n                ],\n                \"verified_languages\": [],\n                \"safety_control\": null,\n                \"voice_verification\": {\n                    \"requires_verification\": false,\n                    \"is_verified\": false,\n                    \"verification_failures\": [],\n                    \"verification_attempts_count\": 0,\n                    \"language\": null,\n                    \"verification_attempts\": null\n                },\n                \"permission_on_resource\": \"admin\",\n                \"is_owner\": false,\n                \"is_legacy\": false,\n                \"is_mixed\": false,\n                \"created_at_unix\": 1747359299\n            }\n        ]\n    },\n    \"success\": true\n}"}],"_postman_id":"4080895d-c2b1-4199-a176-47ffb5d2ad7e"},{"name":"Create Text-to-Speech","id":"c006639d-004c-4227-b184-c2fd23999158","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"method":"POST","header":[],"url":"https://api.straico.com/v1/tts/create","description":"<h2 id=\"create-text-to-speech-tts\">Create Text-to-Speech (TTS)</h2>\n<p>This endpoint allows users to create a text-to-speech (TTS) conversion by providing specific parameters related to the desired voice model and text content.</p>\n<h2 id=\"authentication\">Authentication</h2>\n<p>All requests must include an <code>Authorization</code> header with a valid API key.</p>\n<h2 id=\"request-headers\">Request Headers</h2>\n<ul>\n<li><p>Authorization: <code>Bearer $STRAICO_API_KEY</code></p>\n</li>\n<li><p>Content-Type: <code>x-www-form-urlencoded</code></p>\n</li>\n</ul>\n<h3 id=\"request-body\">Request Body</h3>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Type</th>\n<th>Required</th>\n<th>Description</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>model</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>Specifies the of model to use for the TTS conversion. Currently, you can choose between <code>eleven_multilingual_v2</code> , <code>eleven_v3</code>and <code>tts-1</code>.</td>\n</tr>\n<tr>\n<td><code>text</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>The actual text content that you want to convert into speech. This parameter is essential for the TTS process. (Up to 4,000 characters)</td>\n</tr>\n<tr>\n<td><code>voice_id</code></td>\n<td>string</td>\n<td>Yes</td>\n<td>Identifies the specific voice to be used for the TTS conversion. If the selected model is <code>eleven_multilingual_v2</code> or <code>eleven_v3</code>, you can choose a voice_id from the endpoint \"Eleven Labs Voices\". For <code>tts-1</code>, you can choose one of the following: <code>alloy, echo, fable, onyx, nova, shimmer</code></td>\n</tr>\n<tr>\n<td><code>language-code</code></td>\n<td>string</td>\n<td>No</td>\n<td>Optional field with the language code and its region, for example:  <br /><code>en</code>: English,  <br /><code>es</code>: Spanish,  <br /><code>fr</code>: French,  <br />etc.</td>\n</tr>\n</tbody>\n</table>\n</div>","urlObject":{"protocol":"https","path":["v1","tts","create"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[{"id":"b162b1a9-2901-45c6-9e16-487fdc5e8383","name":"Create Text-to-Speech","originalRequest":{"method":"POST","header":[],"url":"https://api.straico.com/v1/tts/create"},"_postman_previewlanguage":"","header":[],"cookie":[{"expires":"Invalid Date","domain":"","path":""}],"responseTime":null,"body":"{\n    \"data\": {\n        \"zip\": \"https://prompt-rack.s3.amazonaws.com/api/1752276348846_hGxPPc3F.zip\",\n        \"audio\": \"https://prompt-rack.s3.amazonaws.com/api/1752276348471_g6V2f20H.mp3\",\n        \"price\": {\n            \"total\": 287.36\n        }\n    },\n    \"success\": true\n}"}],"_postman_id":"c006639d-004c-4227-b184-c2fd23999158"}],"id":"4738703f-6875-40f4-8791-75d55ab71696","_postman_id":"4738703f-6875-40f4-8791-75d55ab71696","description":""},{"name":"Agents","item":[{"name":"Create Agent","id":"674636a5-d89e-451e-a720-f172082d88ab","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"POST","header":[],"body":{"mode":"urlencoded","urlencoded":[{"key":"name","value":"<A name for the agent>","type":"text"},{"key":"custom_prompt","value":"<A custom prompt for the agent behaviour>","type":"text"},{"key":"default_llm","value":"<A model that the agent will use for processing prompts>","type":"text"},{"key":"description","value":"<A brief description of what the model does>","type":"text"},{"key":"tags","value":"<An array of tags for the agent. Example: [\"assistant\",\"rag\"]>","type":"text"}]},"url":"https://api.straico.com/v0/agent","description":"<p>Creates a new agent in the datebase for the user.</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": {\n        \"uuidv4\": \"73648dd8-79d9-4e97-8dd1-2ef2df2b8843\",\n        \"user_id\": \"743ada93ff7a1d6822131d3f5\",\n        \"default_llm\": \"anthropic/claude-3.5-sonnet\",\n        \"custom_prompt\": \"Act as an expert in airline regulations, based on an attached document\",\n        \"name\": \"Expert in airline regulations\",\n        \"description\": \"Agent acting as an expert in airline regulations\",\n        \"status\": \"active\",\n        \"tags\": [\"assistant\",\"rag\"],\n        \"last_interaction\": null,\n        \"interaction_count\": 0,\n        \"visibility\": \"private\",\n        \"_id\": \"66e8927659c3f8a86098c8da\",\n        \"createdAt\": \"2024-09-16T20:17:58.051Z\",\n        \"updatedAt\": \"2024-09-16T20:17:58.051Z\",\n        \"__v\": 0\n    }\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","agent"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"674636a5-d89e-451e-a720-f172082d88ab"},{"name":"Add RAG to Agent","id":"333df87a-cb49-4c5f-b647-eb797dd4e01c","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"POST","header":[],"body":{"mode":"raw","raw":"{\n  \"rag\": \"670469b677rwtrwwr5b0903\"\n}\n","options":{"raw":{"language":"json"}}},"url":"https://api.straico.com/v0/agent/<agent-id>/rag","description":"<p>Creates a new agent in the datebase for the user.</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": {\n        \"uuidv4\": \"73648dd8-79d9-4e97-8dd1-2ef2df2b8843\",\n        \"user_id\": \"743ada93ff7a1d6822131d3f5\",\n        \"default_llm\": \"anthropic/claude-3.5-sonnet\",\n        \"custom_prompt\": \"Act as an expert in airline regulations, based on an attached document\",\n        \"name\": \"Expert in airline regulations\",\n        \"description\": \"Agent acting as an expert in airline regulations\",\n        \"status\": \"active\",\n        \"tags\": [\"assistant\",\"rag\"],\n        \"last_interaction\": null,\n        \"interaction_count\": 0,\n        \"visibility\": \"private\",\n        \"_id\": \"66e8927659c3f8a86098c8da\",\n        \"createdAt\": \"2024-09-16T20:17:58.051Z\",\n        \"updatedAt\": \"2024-09-16T20:17:58.051Z\",\n        \"__v\": 0\n    }\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","agent","<agent-id>","rag"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"333df87a-cb49-4c5f-b647-eb797dd4e01c"},{"name":"Agent details","id":"1788063e-25ba-46b9-af0b-a43305f78aa9","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"GET","header":[],"url":"https://api.straico.com/v0/agent/<agent-id>","description":"<h3 id=\"get-agent-details\">Get Agent Details</h3>\n<p>This endpoint makes an HTTP GET request to retrieve details of a specific agent identified by the provided ID.</p>\n<h4 id=\"request-parameters\">Request Parameters</h4>\n<ul>\n<li>: the id of the required agent</li>\n</ul>\n<h4 id=\"response\">Response</h4>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": {\n        \"_id\": \"66df87d2bb560c6acabb686s\",\n        \"uuidv4\": \"c85254c4-0f89-46d7-bf28-428eed764e16\",\n        \"default_llm\": \"openai/gpt-4o\",\n        \"custom_prompt\": \"Act a as expert in airline regulations\",\n        \"name\": \"Expert in airline regulations\",\n        \"description\": \"Agent expert in airline regulations\",\n        \"status\": \"active\",\n        \"tags\": [],\n        \"last_interaction\": null,\n        \"interaction_count\": 0,\n        \"visibility\": \"private\",\n        \"createdAt\": \"2024-09-09T23:42:10.263Z\",\n        \"updatedAt\": \"2024-09-10T22:39:46.868Z\",\n        \"__v\": 0,\n        \"rag_association\": \"https://prompt-rack.s3.amazonaws.com/api/rag/66df87d2bbssscs6acabb6822/index.faiss\"\n    }\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","agent","<agent-id>"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"1788063e-25ba-46b9-af0b-a43305f78aa9"},{"name":"List of agents","id":"a8baa3be-572e-4f2a-b175-cd944ec037c8","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"GET","header":[],"url":"https://api.straico.com/v0/agent/","description":"<p>The endpoint retrieves the list of agents created by and available to the user.</p>\n<h2 id=\"response\">Response</h2>\n<p>The response for this request follows the JSON schema below:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": [\n        {\n            \"_id\": \"66e8927659c3f8a86098c8da\",\n            \"uuidv4\": \"73648d38-79d9-4e97-8031-2ef2df2b8843\",\n            \"user_id\": \"64ada93ff7a1fr322131d3f5\",\n            \"default_llm\": \"anthropic/claude-3.5-sonnet\",\n            \"custom_prompt\": \"Act as an expert in airline regulations, based on an attached document\",\n            \"name\": \"Expert in airline regulations\",\n            \"description\": \"Agent acting as an expert in airline regulations\",\n            \"status\": \"active\",\n            \"tags\": [],\n            \"last_interaction\": null,\n            \"interaction_count\": 0,\n            \"visibility\": \"private\",\n            \"createdAt\": \"2024-09-16T20:17:58.051Z\",\n            \"updatedAt\": \"2024-09-16T20:28:52.388Z\",\n            \"__v\": 0,\n            \"rag_association\": \"https://prompt-rack.s3.amazonaws.com/api/rag/66e892eqe9c3f8a86098c8da/index.faiss\"\n        },\n        {\n            \"_id\": \"66ecb88a6de4320a54166d4\",\n            \"uuidv4\": \"ccf6cdfew73c9-4c86-b351-f54df5374aa6\",\n            \"user_id\": \"64ada93ff7a1d6822131d3f5\",\n            \"default_llm\": \"anthropic/claude-3.5-sonnet\",\n            \"custom_prompt\": \"Act as an expert in University rules\",\n            \"name\": \"Expert in university rutles\",\n            \"description\": \"Agent giving advice in university rules\",\n            \"status\": \"active\",\n            \"tags\": [],\n            \"last_interaction\": null,\n            \"interaction_count\": 0,\n            \"visibility\": \"private\",\n            \"createdAt\": \"2024-09-19T23:49:30.694Z\",\n            \"updatedAt\": \"2024-09-20T00:53:55.086Z\",\n            \"__v\": 0,\n            \"rag_association\": \"https://prompt-rack.s3.amazonaws.com/api/rag/66ecb88a63c836b0a54166d4/index.faiss\"\n        }\n    ]\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","agent",""],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"a8baa3be-572e-4f2a-b175-cd944ec037c8"},{"name":"Update agent","id":"c6616130-46da-4f14-b0ba-504b446e2ffe","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"PUT","header":[],"body":{"mode":"urlencoded","urlencoded":[{"key":"name","value":"<New value of name>","type":"text"},{"key":"<any other attribute>","value":"<New value of any other attribute>","type":"text"}]},"url":"https://api.straico.com/v0/agent/<agent-id>","description":"<h3 id=\"update-agent-details\">Update Agent Details</h3>\n<p>This endpoint allows updating the details of a specific agent.</p>\n<h4 id=\"request\">Request</h4>\n<ul>\n<li><p>Method: PUT</p>\n</li>\n<li><p>Endpoint: <code>https://stapi.straico.com/v0/agent/</code></p>\n</li>\n</ul>\n<h4 id=\"response\">Response</h4>\n<p>The response is in the form of a JSON schema.</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">    \"success\": true,\n    \"data\": {\n        \"_id\": \"66df87d2bb560c6acabb6822\",\n        \"uuidv4\": \"c85254c4-0f89-46d7-bf28-428eed764e16\",\n        \"user_id\": \"64ada93ff7a1d6822131d3f5\",\n        \"default_llm\": \"openai/gpt-4o\",\n        \"custom_prompt\": \"Actúa como un buen abogado penalista, que responda preguntas sobre un documento legal bastante largo\",\n        \"name\": \"Experto en Código Penal Colombiano\",\n        \"description\": \"Agente que actúa como abogado penalista experto en código penal\",\n        \"status\": \"active\",\n        \"tags\": [],\n        \"last_interaction\": null,\n        \"interaction_count\": 0,\n        \"visibility\": \"private\",\n        \"createdAt\": \"2024-09-09T23:42:10.263Z\",\n        \"updatedAt\": \"2024-09-23T01:05:12.199Z\",\n        \"__v\": 0,\n        \"rag_association\": \"https://prompt-rack.s3.amazonaws.com/api/rag/66df87d2bb560c6acabb6822/index.faiss\"\n    }\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","agent","<agent-id>"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"c6616130-46da-4f14-b0ba-504b446e2ffe"},{"name":"Agent prompt completion","id":"aa6d62c1-abe5-4620-b94b-961be1f66c06","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"POST","header":[],"body":{"mode":"urlencoded","urlencoded":[{"key":"prompt","value":"What's the document about?","type":"text"}]},"url":"https://api.straico.com/v0/agent/<agent-id>/prompt","description":"<h1 id=\"agent-prompt-completion\">Agent Prompt Completion</h1>\n<p>This endpoint allows the user to make an HTTP POST request to prompt the completion of an agent message. It uses the previously uploaded RAG base and the agent's default model.</p>\n<h4 id=\"request-body\">Request Body</h4>\n<ul>\n<li><code>prompt</code> (text): A text prompt for the RAG model.</li>\n</ul>\n<h5 id=\"optional-parameters\">Optional Parameters</h5>\n<p>RAG bases are build using FAISS format. To retrieve results, we use a VectorStoreRetriever. This entity has custom parameters that can modify the results used for prompt completion. Check this document for more information: <a href=\"https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.faiss.FAISS.html#langchain_community.vectorstores.faiss.FAISS.as_retriever\">https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.faiss.FAISS.html#langchain_community.vectorstores.faiss.FAISS.as_retriever</a></p>\n<ul>\n<li><p><code>search_type</code>: one of the following: <code>similarity</code>, <code>mmr</code> or <code>similarity_score_threshold</code></p>\n</li>\n<li><p><code>k</code>: number of documents to return</p>\n</li>\n<li><p><code>fetch_k</code>: ammount of documents to pass to MMR algorithm</p>\n</li>\n<li><p><code>lambda_mult</code>: diversity of results return by MMR, 1 for minimum and 0 for maximum</p>\n</li>\n<li><p><code>score_threshold</code>: Minimum relevance threshold for <code>similarity_score_threshold</code></p>\n</li>\n</ul>\n<h3 id=\"notes-on-coins\">Notes on coins</h3>\n<ul>\n<li><p>Total coins will be based on the regular fees for each LLM available in Straico.</p>\n</li>\n<li><p><strong>WARNING:</strong> coins will consider the number of words in the <code>references</code>.</p>\n</li>\n</ul>\n<h3 id=\"response\">Response</h3>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": {\n        \"answer\": \"This appears to be a section from an academic regulations or student handbook document, likely from the Universidad de los Andes (University of the Andes). It covers various academic procedures and student rights, including:\\n\\n1. Definitions of terms like:\\n- Conditional enrollment\\n- Claims/appeals procedures\\n- Readmission\\n\\n2. Student rights, such as:\\n- The right to be informed about institutional policies and procedures\\n- The right to know course programs and evaluation criteria at the start of each academic period\\n- The right to due process in academic and disciplinary matters\\n\\n3. Basic academic regulations, including class attendance policies\\n\\nThe text is in Spanish and appears to be part of a formal institutional document that outlines rules and procedures for students at the university.\",\n        \"references\": [\n            {\n                \"page_content\": \"diante tiene matrícula condicional como consecuencia de una sanción \\ndisciplinaria.\\nreclamo.  Procedimiento por el cual el estudiante solicita la reconsidera -\\nción de una calificación recibida, mediante comunicación escrita.\\nrecurso.  Escrito mediante el cual el estudiante solicita que una decisión \\nadoptada por algún órgano o empleado de la Universidad sea aclarada, \\nmodificada o revocada.\\nreingreso. Procedimiento a través del cual un estudiante, que ha sido \\nretirado de un programa regular de la Universidad por razones académi -\\ncas o disciplinarias, se reincorpora a la Universidad.\",\n                \"page\": 73\n            },\n            {\n                \"page_content\": \"institucional.\",\n                \"page\": 14\n            },\n            {\n                \"page_content\": \"reglamentos, políticas, procedimientos, modificaciones y demás infor -\\nmación institucional, así como las consecuencias de su inobservancia.\\nART. 20. El estudiante tiene derecho a conocer, al inicio de cada período \\nacadémico y por escrito, los programas de los cursos que va a tomar, \\nlos criterios conforme a los cuales va a ser evaluado y a ser informado \\noportunamente sobre los resultados de las evaluaciones, las que podrá \\ncontrovertir de conformidad con lo establecido en el capítulo séptimo de \\neste reglamento.\\nART. 21. El estudiante tiene derecho a que las situaciones académicas \\ny disciplinarias en las que se encuentre involucrado sean estudiadas de \\nmanera clara, imparcial y objetiva; a defenderse, a solicitar la práctica \\nde pruebas, a controvertir las que se presenten en su contra y a inter -\\nponer los recursos a los que haya lugar en contra de las decisiones que \\nlo afecten.\",\n                \"page\": 15\n            },\n            {\n                \"page_content\": \"tes de la Universidad de los Andes, para todos los efectos académicos \\nrelacionados con sus programas de estudio y su permanencia en la \\ninstitución.\\nA.Asistencia a c lase\\nART. 40. Los cursos iniciarán el primer día del semestre académico y los profesores velarán por el cumplimiento del programa.\",\n                \"page\": 19\n            }\n        ],\n        \"file_name\": \"ReglamentoPregradoweb2016.pdf\",\n        \"coins_used\": 6.09\n    },\n    \"response\":{&lt;... The same as data object...&gt;}\n}\n\n</code></pre>\n<p><strong>IMPORTANT:</strong> Despite the response has now a <code>data</code> object, the response still keeps the object <code>response</code>, in order to keep backward compatibility with older versions of the API.</p>\n","urlObject":{"protocol":"https","path":["v0","agent","<agent-id>","prompt"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"aa6d62c1-abe5-4620-b94b-961be1f66c06"},{"name":"Delete agent","id":"e055ee7f-2708-4dbb-ba58-41561bdb5b00","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"DELETE","header":[],"url":"https://api.straico.com/v0/agent/<agent-id>","description":"<h3 id=\"delete-agent\">Delete Agent</h3>\n<p>This endpoint is used to delete a specific agent by providing the agent ID in the URL.</p>\n<h4 id=\"request-body\">Request Body</h4>\n<p>This request does not require a request body.</p>\n<h4 id=\"response\">Response</h4>\n<p>Example Response:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"message\": \"Agent deleted successfully\"\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","agent","<agent-id>"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"e055ee7f-2708-4dbb-ba58-41561bdb5b00"}],"id":"ea7aa56c-590c-4ef2-a549-8ad9f4b42799","description":"<p>This is the first version of the documentation of the API endpoints for agents, allowing users to upload a file and converting it into a suitable format for RAG.</p>\n","_postman_id":"ea7aa56c-590c-4ef2-a549-8ad9f4b42799"},{"name":"Rag","item":[{"name":"Create RAG","id":"f16fc347-a9fb-4f93-b26d-682875b975a3","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"POST","header":[],"body":{"mode":"formdata","formdata":[{"key":"name","value":"Rag entity","type":"text"},{"key":"description","value":"A description of the RAG entity","type":"text"},{"key":"files","type":"file","value":null}]},"url":"https://api.straico.com/v0/rag","description":"<h3 id=\"create-a-new-rag\">Create a new RAG</h3>\n<p>This endpoint allows the user to create a new RAG base in the database. The request should be sent as an HTTP POST .Request Body</p>\n<p>The request should have a form-data body type with the following parameters:</p>\n<ul>\n<li><p><code>name</code> (text): Represents the name of the RAG base</p>\n</li>\n<li><p><code>description</code> (text): Represents the description of the agent.</p>\n</li>\n<li><p><code>files</code> (file): Represents the files to be attached (up to 4 files). Accepted file extensions are: pdf, docx, csv, txt, xlsx, py.</p>\n</li>\n<li><p><code>chunking_method</code> (text - optional): Represents the chunking method to be use for generating the RAG base. The default value is <code>fixed_size</code>. Depending on the value set, there are other optional parameters than can be set:</p>\n</li>\n</ul>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th><strong><code>chunking method</code></strong></th>\n<th><strong>Available optional parameters</strong></th>\n<th><strong>Should perform quiet well with</strong></th>\n<th><strong>Cons</strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>fixed_size</code></td>\n<td><code>chunk_size</code> (default value: 1000)  <br /><code>chunk_overlap</code> (default value: 50)  <br /><code>separator</code>(default value: \\n)</td>\n<td>Not so elaborated text</td>\n<td>Does not consider text structure and semantics</td>\n</tr>\n<tr>\n<td><code>recursive</code></td>\n<td><code>chunk_size</code> (default value: 1000)  <br /><code>chunk_overlap</code> (default value: 50)  <br /><code>separators</code> (default value: [\"\\n\\n\", \"\\n\", \" \", \"\"])</td>\n<td>Not so elaborated text</td>\n<td>Does not consider text structure and semantics</td>\n</tr>\n<tr>\n<td><code>markdown</code></td>\n<td><code>chunk_size</code> (default value: 1000)  <br /><code>chunk_overlap</code> (default value: 50)</td>\n<td>Files with Markdown</td>\n<td>Only suitable for files with Markdown</td>\n</tr>\n<tr>\n<td><code>python</code></td>\n<td><code>chunk_size</code> (default value: 1000)  <br /><code>chunk_overlap</code> (default value: 50)</td>\n<td>Python files</td>\n<td>Only suitable for Python Files</td>\n</tr>\n<tr>\n<td><code>semantic</code></td>\n<td><code>breakpoint_threshold_type</code> (available values: <code>percentile, interquartile, standard_deviation, gradient</code>)  <br /><code>buffer_size</code> (default value: 100)</td>\n<td>Significantly elaborated texts</td>\n<td>Very slow, compared to other methods</td>\n</tr>\n</tbody>\n</table>\n</div><h4 id=\"response\">Response</h4>\n<ul>\n<li><p>Status: 201</p>\n</li>\n<li><p>Content-Type: application/json</p>\n</li>\n</ul>\n<p>The response will contain a JSON object with the following structure:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": {\n        \"user_id\": \"64ada93f22131d3f5\",\n        \"name\": \"Rag de prueba txt\",\n        \"rag_url\": \"https://prompt-rack.s3.amazonaws.com/api/rag/64ada93ff7a1d6822131d3f5/d27eaec1-00df-48cd-a6ef-1b17a78d841c/index.faiss\",\n        \"original_filename\": \"sample_txt.txt\",\n        \"chunking_method\": \"fixed_size\",\n        \"chunk_size\": 1000,\n        \"chunk_overlap\": 50,\n        \"_id\": \"670565d07e1234eb\",\n        \"createdAt\": \"2024-10-08T17:03:12.078Z\",\n        \"updatedAt\": \"2024-10-08T17:03:12.078Z\",\n        \"__v\": 0\n    },\n    \"total_coins\": 0.97,\n    \"total_words\": 967\n}\n\n</code></pre>\n<h3 id=\"notes-on-coins-and-processing-time\">Notes on coins and processing time</h3>\n<ul>\n<li><p>Current fee is 0.1 coins / 100 words of the processed files.</p>\n</li>\n<li><p>Processing the file may take several minutes. It takes approximately 1 minute per 50.000 words of the original documents.</p>\n</li>\n</ul>\n","urlObject":{"protocol":"https","path":["v0","rag"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"f16fc347-a9fb-4f93-b26d-682875b975a3"},{"name":"List of RAG's","id":"bf0a217e-bde8-4c86-986c-8e106004f055","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"GET","header":[],"url":"https://api.straico.com/v0/rag/user","description":"<h3 id=\"get-list-of-rags-for-user\">Get list of RAGs for user</h3>\n<p>This endpoint returns the list of RAG bases for the user.</p>\n<h4 id=\"response\">Response</h4>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": [\n        {\n            \"_id\": \"670558840d774c63b439\",\n            \"user_id\": \"64ada93ff7a131d3f5\",\n            \"name\": \"Test\",\n            \"rag_url\": \"https://prompt-rack.s3.amazonaws.com/api/rag/64ada93ff7a1d6822131d3f5/898555bd-7701-473f-9ffe-f02303a2cc59/index.faiss\",\n            \"original_filename\": \"sample_txt.txt, sample_excel.xlsx, 2000_codigopenal_colombia.pdf\",\n            \"chunking_method\": \"fixed_size\",\n            \"chunk_size\": 1000,\n            \"chunk_overlap\": 50,\n            \"createdAt\": \"2024-10-08T16:06:28.210Z\",\n            \"updatedAt\": \"2024-10-08T16:06:28.210Z\",\n            \"__v\": 0\n        },\n        {\n            \"_id\": \"670565d02dae1234eb\",\n            \"user_id\": \"64adadaa1d6822131d3f5\",\n            \"name\": \"Test 2\",\n            \"rag_url\": \"https://prompt-rack.s3.amazonaws.com/api/rag/64ada93ff7a1d6822131d3f5/d27eaec1-00df-48cd-a6ef-1b17a78d841c/index.faiss\",\n            \"original_filename\": \"sample_txt.txt\",\n            \"chunking_method\": \"fixed_size\",\n            \"chunk_size\": 1000,\n            \"chunk_overlap\": 50,\n            \"createdAt\": \"2024-10-08T17:03:12.078Z\",\n            \"updatedAt\": \"2024-10-08T17:03:12.078Z\",\n            \"__v\": 0\n        }\n    ]\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","rag","user"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"bf0a217e-bde8-4c86-986c-8e106004f055"},{"name":"RAG by ID","id":"0c471059-5c83-430d-9e72-e046cafd021f","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"GET","header":[],"url":"https://api.straico.com/v0/rag/<rag-id>","description":"<h3 id=\"get-rag-base-by-id\">Get RAG base by ID</h3>\n<p>This endpoint makes an HTTP GET request to retrieve details of a specific RAG base identified by the provided ID.</p>\n<h4 id=\"request-parameters\">Request Parameters</h4>\n<ul>\n<li>id: the id of the required RAG base</li>\n</ul>\n<h4 id=\"expected-response\">Expected Response</h4>\n<p>Upon successful execution, the API returns a JSON object with the following format:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": {\n        \"_id\": \"670565d02fc07e1234eb\",\n        \"user_id\": \"64ada922131d3f5\",\n        \"name\": \"Test\",\n        \"rag_url\": \"https://prompt-rack.s3.amazonaws.com/api/rag/64ada93ff7a1d6822131d3f5/d27eaec1-00df-48cd-a6ef-1b17a78d841c/index.faiss\",\n        \"original_filename\": \"sample_txt.txt\",\n        \"chunking_method\": \"fixed_size\",\n        \"chunk_size\": 1000,\n        \"chunk_overlap\": 50,\n        \"createdAt\": \"2024-10-08T17:03:12.078Z\",\n        \"updatedAt\": \"2024-10-08T17:03:12.078Z\",\n        \"__v\": 0\n    }\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","rag","<rag-id>"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"0c471059-5c83-430d-9e72-e046cafd021f"},{"name":"Update RAG","id":"5eeb5b44-4c57-479d-a346-08e2fee9e2d2","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"PUT","header":[],"body":{"mode":"formdata","formdata":[{"key":"files","value":"","type":"text"}]},"url":"https://api.straico.com/v0/rag/<rag-id>","description":"<p>This endpoint is used to update a RAG given some files to enhance the existing RAG base.</p>\n<h4 id=\"request-body\">Request Body</h4>\n<ul>\n<li><p>form-data</p>\n<ul>\n<li><code>files</code> (text): The files to be processed and added to the existing RAG base</li>\n</ul>\n</li>\n</ul>\n<h4 id=\"response\">Response</h4>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"type\": \"object\",\n    \"properties\": {\n        // Add properties based on the actual response\n  {\n    \"success\": true,\n    \"data\": {\n        \"_id\": \"34123412341234s4ae\",\n        \"user_id\": \"jeqjreqwez34123\",\n        \"name\": \"A RAG to be updated\",\n        \"description\": \"Testing a RAG base to be updated later\",\n        \"rag_url\": \"https://prompt-rack.s3.amazonaws.com/api/rag/64ada93ff7a1d6822131d3f5/c9eeqebe-5529-4180-31341-037b712e633/index.faiss\",\n        \"original_filename\": \"contract_of_carriage.pdf, ai.pdf, ONTRACK.pdf, ONTRACK.pdf, ai.pdf, ai.pdf, ai.pdf\",\n        \"chunking_method\": \"fixed_size\",\n        \"chunk_size\": 1000,\n        \"chunk_overlap\": 50,\n        \"buffer_size\": 100,\n        \"breakpoint_threshold_type\": \"percentile\",\n        \"separator\": \"\\n\",\n        \"separators\": [\n            \"\\n\\n\",\n            \"\\n\",\n            \" \",\n            \"\"\n        ],\n        \"createdAt\": \"2025-01-29T10:00:19.582Z\",\n        \"updatedAt\": \"2025-01-31T02:23:36.689Z\",\n        \"__v\": 0\n    },\n    \"total_coins\": 12.95,\n    \"total_words\": 12953\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","rag","<rag-id>"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"5eeb5b44-4c57-479d-a346-08e2fee9e2d2"},{"name":"Delete RAG","id":"96925d0c-47d2-48b3-93e7-ddb1bcd0eab3","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"DELETE","header":[],"url":"https://api.straico.com/v0/rag/<rag-id>","description":"<h3 id=\"delete-rag\">Delete RAG</h3>\n<p>This endpoint is used to delete a specific agent by providing the rag ID in the URL.</p>\n<h4 id=\"response\">Response</h4>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"message\": \"RAG deleted successfully\"\n}\n\n</code></pre>\n","urlObject":{"protocol":"https","path":["v0","rag","<rag-id>"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"96925d0c-47d2-48b3-93e7-ddb1bcd0eab3"},{"name":"RAG prompt completion","id":"6725a793-b97f-42fd-924c-ef0044430ed8","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"bearer","bearer":{"token":"<token>"},"isInherited":false},"method":"POST","header":[],"body":{"mode":"urlencoded","urlencoded":[{"key":"prompt","value":"What happens if the flight is delayed?","type":"text"},{"key":"model","value":"anthropic/claude-3.5-sonnet","type":"text"}]},"url":"https://api.straico.com/v0/rag/<rag-id>/prompt","description":"<h3 id=\"rag-prompt-compleition\">RAG prompt compleition</h3>\n<p>This endpoint is used to submit a prompt to a specific RAG (Retrieval-Augmented Generation) model.</p>\n<h4 id=\"request-body\">Request Body</h4>\n<ul>\n<li><p><code>prompt</code> (text): A text prompt for the RAG model.</p>\n</li>\n<li><p><code>model</code> (text): The specific LLM to be used.</p>\n</li>\n</ul>\n<h5 id=\"optional-parameters\">Optional Parameters</h5>\n<p>RAG bases are build using FAISS format. To retrieve results, we use a VectorStoreRetriever. This entity has custom parameters that can modify the results used for prompt completion. Check this document for more information: <a href=\"https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.faiss.FAISS.html#langchain_community.vectorstores.faiss.FAISS.as_retriever\">https://api.python.langchain.com/en/latest/vectorstores/langchain_community.vectorstores.faiss.FAISS.html#langchain_community.vectorstores.faiss.FAISS.as_retriever</a></p>\n<ul>\n<li><p><code>search_type</code>: one of the following: <code>similarity</code>, <code>mmr</code> or <code>similarity_score_threshold</code></p>\n</li>\n<li><p><code>k</code>: number of documents to return</p>\n</li>\n<li><p><code>fetch_k</code>: ammount of documents to pass to MMR algorithm</p>\n</li>\n<li><p><code>lambda_mult</code>: diversity of results return by MMR, 1 for minimum and 0 for maximum</p>\n</li>\n<li><p><code>score_threshold</code>: Minimum relevance threshold for <code>similarity_score_threshold</code></p>\n</li>\n</ul>\n<h3 id=\"notes-on-coins\">Notes on coins</h3>\n<ul>\n<li><p>Total coins will be based on the regular fees for each LLM available in Straico.</p>\n</li>\n<li><p><strong>WARNING:</strong> coins will consider the number of words in the <code>references</code>.</p>\n</li>\n</ul>\n<h4 id=\"response\">Response</h4>\n<p>The response is a JSON object with the following schema:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"success\": true,\n    \"data\": {\n        \"answer\": \"This appears to be a section from an academic regulations or student handbook document, likely from the Universidad de los Andes (University of the Andes). It covers various academic procedures and student rights, including:\\n\\n1. Definitions of terms like:\\n- Conditional enrollment\\n- Claims/appeals procedures\\n- Readmission\\n\\n2. Student rights, such as:\\n- The right to be informed about institutional policies and procedures\\n- The right to know course programs and evaluation criteria at the start of each academic period\\n- The right to due process in academic and disciplinary matters\\n\\n3. Basic academic regulations, including class attendance policies\\n\\nThe text is in Spanish and appears to be part of a formal institutional document that outlines rules and procedures for students at the university.\",\n        \"references\": [\n            {\n                \"page_content\": \"diante tiene matrícula condicional como consecuencia de una sanción \\ndisciplinaria.\\nreclamo.  Procedimiento por el cual el estudiante solicita la reconsidera -\\nción de una calificación recibida, mediante comunicación escrita.\\nrecurso.  Escrito mediante el cual el estudiante solicita que una decisión \\nadoptada por algún órgano o empleado de la Universidad sea aclarada, \\nmodificada o revocada.\\nreingreso. Procedimiento a través del cual un estudiante, que ha sido \\nretirado de un programa regular de la Universidad por razones académi -\\ncas o disciplinarias, se reincorpora a la Universidad.\",\n                \"page\": 73\n            },\n            {\n                \"page_content\": \"institucional.\",\n                \"page\": 14\n            },\n            {\n                \"page_content\": \"reglamentos, políticas, procedimientos, modificaciones y demás infor -\\nmación institucional, así como las consecuencias de su inobservancia.\\nART. 20. El estudiante tiene derecho a conocer, al inicio de cada período \\nacadémico y por escrito, los programas de los cursos que va a tomar, \\nlos criterios conforme a los cuales va a ser evaluado y a ser informado \\noportunamente sobre los resultados de las evaluaciones, las que podrá \\ncontrovertir de conformidad con lo establecido en el capítulo séptimo de \\neste reglamento.\\nART. 21. El estudiante tiene derecho a que las situaciones académicas \\ny disciplinarias en las que se encuentre involucrado sean estudiadas de \\nmanera clara, imparcial y objetiva; a defenderse, a solicitar la práctica \\nde pruebas, a controvertir las que se presenten en su contra y a inter -\\nponer los recursos a los que haya lugar en contra de las decisiones que \\nlo afecten.\",\n                \"page\": 15\n            },\n            {\n                \"page_content\": \"tes de la Universidad de los Andes, para todos los efectos académicos \\nrelacionados con sus programas de estudio y su permanencia en la \\ninstitución.\\nA.Asistencia a c lase\\nART. 40. Los cursos iniciarán el primer día del semestre académico y los profesores velarán por el cumplimiento del programa.\",\n                \"page\": 19\n            }\n        ],\n        \"file_name\": \"ReglamentoPregradoweb2016.pdf\",\n        \"coins_used\": 6.09\n    },\n    \"response\":{&lt;... The same as data object...&gt;}\n}\n\n</code></pre>\n<p><strong>IMPORTANT:</strong> Despite the response has now a <code>data</code> object, the response still keeps the object <code>response</code>, in order to keep backward compatibility with older versions of the API.</p>\n","urlObject":{"protocol":"https","path":["v0","rag","<rag-id>","prompt"],"host":["api","straico","com"],"query":[],"variable":[]}},"response":[],"_postman_id":"6725a793-b97f-42fd-924c-ef0044430ed8"}],"id":"88909510-e00e-46bd-9380-916dcea430dc","_postman_id":"88909510-e00e-46bd-9380-916dcea430dc","description":""}]}