feat: Updated OpenAPI spec (#224)

Co-authored-by: github-actions[bot] <bot@openai.com>

Author: HavenDV

src/libs/Cohere/openapi.yaml

@@ -8118,7 +8118,7 @@ paths:
             - code: "import { CohereClient } from 'cohere-ai';\n\nconst cohere = new CohereClient({});\n\n(async () => {\n  const embed = await cohere.v2.embed({\n    texts: ['hello', 'goodbye'],\n    model: 'embed-v4.0',\n    inputType: 'classification',\n    embeddingTypes: ['float'],\n  });\n  console.log(embed);\n})();\n"
               name: Texts
               sdk: typescript
-            - code: "import cohere\n\nco = cohere.ClientV2()\n\nresponse = co.embed(\n    texts=[\"hello\", \"goodbye\"],\n    model=\"embed-v4.0\",\n    input_type=\"classification\",\n    embedding_types=[\"float\"],\n)\nprint(response)\n"
+            - code: "import cohere\n\nco = cohere.ClientV2()\n\ntext_inputs = [\n    {\n        \"content\": [\n            {\"type\": \"text\", \"text\": \"hello\"},\n            {\"type\": \"text\", \"text\": \"goodbye\"}\n        ]\n    },\n]\n\nresponse = co.embed(\n    inputs=text_inputs,\n    model=\"embed-v4.0\",\n    input_type=\"classification\",\n    embedding_types=[\"float\"],\n)\nprint(response)\n"
               name: Texts
               sdk: python
             - code: "import cohere\nimport asyncio\n\nco = cohere.AsyncClient()\n\n\nasync def main():\n    response = await co.embed(\n        texts=[\"hello\", \"goodbye\"],\n        model=\"embed-v4.0\",\n        input_type=\"classification\",\n    )\n    print(response)\n\n\nasyncio.run(main())\n"
@@ -10211,7 +10211,7 @@ paths:
             - code: "import { CohereClient } from 'cohere-ai';\n\nconst cohere = new CohereClient({});\n\n(async () => {\n  const image = await fetch('https://cohere.com/favicon-32x32.png');\n  const buffer = await image.arrayBuffer();\n  const stringifiedBuffer = Buffer.from(buffer).toString('base64');\n  const contentType = image.headers.get('content-type');\n  const imageBase64 = `data:${contentType};base64,${stringifiedBuffer}`;\n\n  const embed = await cohere.v2.embed({\n    model: 'embed-v4.0',\n    inputType: 'image',\n    embeddingTypes: ['float'],\n    images: [imageBase64],\n  });\n  console.log(embed);\n})();\n"
               name: Images
               sdk: typescript
-            - code: "import cohere\nimport requests\nimport base64\n\nco = cohere.ClientV2()\n\nimage = requests.get(\"https://cohere.com/favicon-32x32.png\")\nstringified_buffer = base64.b64encode(image.content).decode(\"utf-8\")\ncontent_type = image.headers[\"Content-Type\"]\nimage_base64 = f\"data:{content_type};base64,{stringified_buffer}\"\n\nresponse = co.embed(\n    model=\"embed-v4.0\",\n    input_type=\"image\",\n    embedding_types=[\"float\"],\n    images=[image_base64],\n)\n\nprint(response)\n"
+            - code: "import cohere\nimport requests\nimport base64\n\nco = cohere.ClientV2()\n\nimage = requests.get(\"https://cohere.com/favicon-32x32.png\")\nstringified_buffer = base64.b64encode(image.content).decode(\"utf-8\")\ncontent_type = image.headers[\"Content-Type\"]\nimage_base64 = f\"data:{content_type};base64,{stringified_buffer}\"\n\nimage_inputs = [\n    {\n        \"content\": [\n            {\n                \"type\": \"image_url\",\n                \"image_url\": {\"url\": image_base64}\n            }\n        ]\n    }\n]\n\nresponse = co.embed(\n    model=\"embed-v4.0\",\n    input_type=\"image\",\n    embedding_types=[\"float\"],\n    inputs=image_inputs\n)\n\nprint(response)\n"
               name: Images
               sdk: python
             - code: "package embedv2post; /* (C)2024 */\n\nimport com.cohere.api.Cohere;\nimport com.cohere.api.resources.v2.requests.V2EmbedRequest;\nimport com.cohere.api.types.EmbedByTypeResponse;\nimport com.cohere.api.types.EmbedInputType;\nimport com.cohere.api.types.EmbeddingType;\nimport java.io.InputStream;\nimport java.io.IOException;\nimport java.net.HttpURLConnection;\nimport java.net.MalformedURLException;\nimport java.net.URI;\nimport java.net.URL;\nimport java.util.Base64;\nimport java.util.List;\n\npublic class EmbedImagePost {\n  public static void main(String[] args) {\n    Cohere cohere = Cohere.builder().clientName(\"snippet\").build();\n\n    try {\n      URI uri = URI.create(\"https://cohere.com/favicon-32x32.png\");\n      URL url = uri.toURL();\n      HttpURLConnection connection = (HttpURLConnection) url.openConnection();\n      connection.connect();\n\n      InputStream inputStream = connection.getInputStream();\n      byte[] buffer = inputStream.readAllBytes();\n      inputStream.close();\n\n      String imageBase64 = String.format(\n          \"data:%s;base64,%s\",\n          connection.getHeaderField(\"Content-Type\"), Base64.getEncoder().encodeToString(buffer));\n\n      EmbedByTypeResponse response = cohere\n          .v2()\n          .embed(\n              V2EmbedRequest.builder()\n                  .model(\"embed-v4.0\")\n                  .inputType(EmbedInputType.IMAGE)\n                  .images(List.of(imageBase64))\n                  .embeddingTypes(List.of(EmbeddingType.FLOAT))\n                  .build());\n\n      System.out.println(response);\n    } catch (MalformedURLException e) {\n      System.err.println(\"Invalid URL: \" + e.getMessage());\n    } catch (IOException e) {\n      System.err.println(\"I/O error: \" + e.getMessage());\n    }\n  }\n}\n"