> This page is for version v2 API (default). > For other versions, use one of these documentation indexes: > - v2 API (default): https://docs.cohere.com/v2/llms.txt > - v1 API: https://docs.cohere.com/v1/llms.txt > For clean Markdown of any page, append .md to the page URL. > For a complete documentation index, see https://docs.cohere.com/llms.txt. > For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.cohere.com/_mcp/server. # Embed API (v2) POST https://api.cohere.com/v2/embed Content-Type: application/json This endpoint returns text embeddings. An embedding is a list of floating point numbers that captures semantic information about the text that it represents. Embeddings can be used to create text classifiers as well as empower semantic search. To learn more about embeddings, see the embedding page. If you want to learn more how to use the embedding model, have a look at the [Semantic Search Guide](https://docs.cohere.com/docs/semantic-search). Reference: https://docs.cohere.com/reference/embed ## Authentication - `Authorization` header (bearer token, required) — Bearer authentication of the form `Bearer `, where token is your auth token. ## Request ### Headers - `X-Client-Name` (string, optional) — The name of the project that is making the request. ### Body (application/json) This endpoint expects an object. - `model` (string, required) — ID of one of the available [Embedding models](https://docs.cohere.com/docs/cohere-embed). - `input_type` (enum, required) — Specifies the type of input passed to the model. Required for embedding models v3 and higher. - `"search_document"`: Used for embeddings stored in a vector database for search use-cases. - `"search_query"`: Used for embeddings of search queries run against a vector DB to find relevant documents. - `"classification"`: Used for embeddings passed through a text classifier. - `"clustering"`: Used for the embeddings run through a clustering algorithm. - `"image"`: Used for embeddings with image input. - Allowed values: `search_document`, `search_query`, `classification`, `clustering`, `image` - `texts` (list of string, optional) — An array of strings for the model to embed. Maximum number of texts per call is `96`. - `images` (list of string, optional) — An array of image data URIs for the model to embed. The image must be a valid [data URI](https://developer.mozilla.org/en-US/docs/Web/URI/Schemes/data). The image must be in either `image/jpeg`, `image/png`, `image/webp`, or `image/gif` format. Image embeddings are supported with Embed v3.0 and newer models. For **Embed v3.x** models, the maximum number of images per call is `1`, and each image has a maximum size of `5MB`. For **Embed v4.0 and newer** models, there is no limit on the number of images per call. The combined size of all images in the request must be at most `20MB`. - `inputs` (list of EmbedInput, optional) — An array of inputs for the model to embed. Maximum number of inputs per call is `96`. An input can contain a mix of text and image components. - `max_tokens` (integer, optional) — The maximum number of tokens to embed per input. If the input text is longer than this, it will be truncated according to the `truncate` parameter. - `output_dimension` (integer, optional) — The number of dimensions of the output embedding. This is only available for `embed-v4` and newer models. For supported dimensions, please refer to the [Embed models](https://docs.cohere.com/docs/cohere-embed) page. - `embedding_types` (list of enum, optional, default: ["float"]) — Specifies the types of embeddings you want to get back. Can be one or more of the following types. * `"float"`: Use this when you want to get back the default float embeddings. Supported with all Embed models. * `"int8"`: Use this when you want to get back signed int8 embeddings. Supported with Embed v3.0 and newer Embed models. * `"uint8"`: Use this when you want to get back unsigned int8 embeddings. Supported with Embed v3.0 and newer Embed models. * `"binary"`: Use this when you want to get back signed binary embeddings. Supported with Embed v3.0 and newer Embed models. * `"ubinary"`: Use this when you want to get back unsigned binary embeddings. Supported with Embed v3.0 and newer Embed models. * `"base64"`: Use this when you want to get back base64 embeddings. Supported with Embed v3.0 and newer Embed models. - Allowed values: `float`, `int8`, `uint8`, `binary`, `ubinary`, `base64` - `truncate` (enum, optional, default: END) — One of `NONE|START|END` to specify how the API will handle inputs longer than the maximum token length. Passing `START` will discard the start of the input. `END` will discard the end of the input. In both cases, input is discarded until the remaining input is exactly the maximum input token length for the model. If `NONE` is selected, when the input exceeds the maximum input token length an error will be returned. - Allowed values: `NONE`, `START`, `END` - `priority` (integer, optional, default: 0) — Controls how early the request is handled. Lower numbers indicate higher priority (default: 0, the highest). When the system is under load, higher-priority requests are processed first and are the least likely to be dropped. ## Response ### 200 OK - `id` (string, required) - `embeddings` (EmbedByTypeResponseEmbeddings, required) — An object with different embedding types. The length of each embedding type array will be the same as the length of the original `texts` array. - `texts` (list of string, optional) — The text entries for which embeddings were returned. - `images` (list of Image, optional) — The image entries for which embeddings were returned. - `meta` (ApiMeta, optional) ## Errors ### 400 Bad Request Error This error is returned when the request is not well formed. This could be because: - JSON is invalid - The request is missing required fields - The request contains an invalid combination of fields - `message` (string, optional) - `id` (string, optional) ### 401 Unauthorized Error This error indicates that the operation attempted to be performed is not allowed. This could be because: - The api token is invalid - The user does not have the necessary permissions - `message` (string, optional) - `id` (string, optional) ### 403 Forbidden Error This error indicates that the operation attempted to be performed is not allowed. This could be because: - The api token is invalid - The user does not have the necessary permissions - `message` (string, optional) - `id` (string, optional) ### 404 Not Found Error This error is returned when a resource is not found. This could be because: - The endpoint does not exist - The resource does not exist eg model id, dataset id - `message` (string, optional) - `id` (string, optional) ### 422 Unprocessable Entity Error This error is returned when the request is not well formed. This could be because: - JSON is invalid - The request is missing required fields - The request contains an invalid combination of fields - `message` (string, optional) - `id` (string, optional) ### 429 Too Many Requests Error Too many requests - `message` (string, optional) - `id` (string, optional) ### 498 Invalid Token Error This error is returned when a request or response contains a deny-listed token. - `message` (string, optional) - `id` (string, optional) ### 499 Client Closed Request Error This error is returned when a request is cancelled by the user. - `message` (string, optional) - `id` (string, optional) ### 500 Internal Server Error This error is returned when an uncategorised internal server error occurs. - `message` (string, optional) - `id` (string, optional) ### 501 Not Implemented Error This error is returned when the requested feature is not implemented. - `message` (string, optional) - `id` (string, optional) ### 503 Service Unavailable Error This error is returned when the service is unavailable. This could be due to: - Too many users trying to access the service at the same time - `message` (string, optional) - `id` (string, optional) ### 504 Gateway Timeout Error This error is returned when a request to the server times out. This could be due to: - An internal services taking too long to respond - `message` (string, optional) - `id` (string, optional) ## Types ### EmbedInput - `content` (list of EmbedContent, required) — An array of objects containing the input data for the model to embed. ### EmbedByTypeResponseEmbeddings An object with different embedding types. The length of each embedding type array will be the same as the length of the original `texts` array. - `float` (list of list of double, optional) — An array of float embeddings. - `int8` (list of list of integer, optional) — An array of signed int8 embeddings. Each value is between -128 and 127. - `uint8` (list of list of integer, optional) — An array of unsigned int8 embeddings. Each value is between 0 and 255. - `binary` (list of list of integer, optional) — An array of packed signed binary embeddings. The length of each binary embedding is 1/8 the length of the float embeddings of the provided model. Each value is between -128 and 127. - `ubinary` (list of list of integer, optional) — An array of packed unsigned binary embeddings. The length of each binary embedding is 1/8 the length of the float embeddings of the provided model. Each value is between 0 and 255. - `base64` (list of string, optional) — An array of base64 embeddings. Each string is the result of appending the float embedding bytes together and base64 encoding that. ### Image - `width` (long, required) — Width of the image in pixels - `height` (long, required) — Height of the image in pixels - `format` (string, required) — Format of the image - `bit_depth` (long, required) — Bit depth of the image ### ApiMeta - `api_version` (ApiMetaApiVersion, optional) - `billed_units` (ApiMetaBilledUnits, optional) - `tokens` (ApiMetaTokens, optional) - `cached_tokens` (double, optional) — The number of prompt tokens that hit the inference cache. - `warnings` (list of string, optional) ### EmbedContent - `type`: `image_url` (image_url) - `image_url` (EmbedImageUrl, optional) — Base64 url of image. - `type`: `text` (text) - `text` (string, optional) ### ApiMetaApiVersion - `version` (string, required) - `is_deprecated` (boolean, optional) - `is_experimental` (boolean, optional) ### ApiMetaBilledUnits - `images` (double, optional) — The number of billed images. - `input_tokens` (double, optional) — The number of billed input tokens. - `image_tokens` (double, optional) — The number of billed image tokens. - `output_tokens` (double, optional) — The number of billed output tokens. - `search_units` (double, optional) — The number of billed search units. - `classifications` (double, optional) — The number of billed classifications units. - `pages` (double, optional) — The number of billed pages parsed. ### ApiMetaTokens - `input_tokens` (double, optional) — The number of tokens used as input to the model. - `output_tokens` (double, optional) — The number of tokens produced by the model. ### EmbedImageUrl Base64 url of image. - `url` (string, required) ## Examples ### Texts **Request** ```json { "model": "embed-v5.0-fast", "input_type": "search_document", "texts": [ "hello", "goodbye" ], "embedding_types": [ "float" ] } ``` **Response** ```json { "id": "da6e531f-54c6-4a73-bf92-f60566d8d753", "embeddings": { "float": [ [ 0.016296387, -0.008354187, -0.04699707, -0.07104492, 0.00013196468, -0.014892578, -0.018661499, 0.019134521, 0.008476257, 0.04159546, -0.036895752, -0.00048303604, 0.06414795, -0.036346436, 0.045806885, -0.03125, 0.03793335, 0.048583984, 0.0062179565, 0.0071144104, -0.020935059, 0.04196167, -0.039398193, 0.03463745, 0.051879883, 0.030838013, -0.0048103333, -0.00036287308, -0.017944336, -0.039611816, 0.013389587, 0.0044021606, 0.018951416, 0.020767212, -0.0025997162, 0.0904541, -0.0121154785, -0.026184082, 0.012413025, 0.004119873, 0.030654907, -0.030792236, -0.041107178, -0.02368164, -0.043304443, -0.00077438354, -0.017074585, -0.019729614, 0.078125, -0.031585693, 0.020217896, -0.01524353, 0.017471313, -0.0008010864, -0.03717041, 0.011062622, -0.072143555, -0.013175964, 0.01058197, 0.030853271, 0.044799805, 0.0045928955, 0.03253174, 0.047698975, -0.0039024353, -0.01965332, 0.024475098, -0.013755798, 0.018951416, -0.015487671, 0.015594482, 0.00096321106, -0.006450653, -0.04748535, -0.021972656, 0.06323242, -0.009498596, 0.014297485, 0.0038471222, -0.023117065, -0.02180481, -0.01928711, -0.08758545, -0.04852295, 0.029510498, 0.011276245, -0.013504028, -0.009391785, -0.0064468384, 0.010978699, -0.014404297, 0.053741455, 0.046569824, 0.00042700768, -0.037719727, 0.011985779, -0.009643555, 0.0067749023, 0.008071899, 0.018829346, -0.05419922, -0.020950317, -0.02659607, -0.028869629, -0.015716553, 0.022705078, -0.0046958923, 0.02192688, 0.032440186, 0.048034668, -0.006843567, 0.045074463, -0.02293396, 0.010238647, -0.04534912, 0.01638794, -0.00680542, 0.0038871765, -0.032836914, 0.051361084, 0.0395813, 0.032928467, -0.00843811, 0.007858276, -0.040802002, -0.008346558, -0.013252258, -0.046173096, 0.051727295, -0.027175903, -0.011497498, 0.04940796, -0.095214844, -0.0345459, -0.021453857, 0.0051002502, -0.01725769, -0.045196533, -0.0016956329, 0.021575928, 0.07720947, -0.00094270706, 0.020904541, 0.05001831, -0.033111572, 0.032287598, -0.0052833557, -0.00007402897, 0.035125732, 0.019424438, -0.06665039, -0.02557373, 0.010887146, 0.05807495, 0.015022278, 0.0657959, -0.015350342, 0.008468628, -0.017944336, 0.029388428, -0.005126953, 0.015914917, 0.051879883, -0.015975952, -0.039031982, -0.012374878, 0.0032424927, 0.0008568764, 0.014579773, 0.021530151, -0.0061912537, 0.028717041, 0.046844482, 0.032836914, 0.0071372986, -0.023406982, -0.03717041, 0.016723633, 0.03994751, 0.025390625, 0.03427124, -0.01914978, -0.026000977, 0.07342529, -0.03213501, -0.058258057, 0.029144287, 0.001042366, 0.030517578, 0.011474609, 0.058410645, 0.005027771, -0.038635254, -0.015029907, -0.015655518, -0.03918457, -0.016342163, -0.020858765, -0.0043907166, 0.03857422, 0.007423401, -0.0473938, 0.04257202, -0.043823242, -0.03842163, -0.033691406, -0.010925293, 0.012260437, 0.0009822845, 0.0058937073, -0.008644104, -0.031585693, 0.0055618286, -0.06976318, -0.030578613, -0.038970947, -0.08880615, -0.00315094, 0.00020766258, 0.04058838, 0.0028266907, -0.0018129349, -0.01625061, -0.022277832, -0.008956909, -0.009292603, -0.040771484, -0.008705139, -0.065979004, -0.010414124, -0.0152282715, 0.033447266, -0.033599854, -0.008049011, -0.020828247, 0.0053901672, 0.0002875328, 0.037078857, 0.015159607, -0.0016326904, 0.012397766, 0.0026817322, -0.032196045, -0.0079422, 0.03567505, -0.0010242462, 0.03652954, -0.0035171509, 0.01802063, 0.026641846, 0.0107421875, -0.021942139, 0.035095215, -0.0236969, -0.015975952, 0.039215088, 0.0038166046, 0.020462036, -0.039764404, 0.035888672, -0.038604736, -0.008621216, -0.012619019, -0.014602661, -0.036102295, -0.02368164, -0.0121536255, -0.0054512024, -0.015701294, -0.016296387, 0.016433716, -0.005672455, -0.019332886, 0.00025129318, 0.0803833, 0.04248047, -0.05960083, -0.009147644, -0.0021247864, 0.012481689, -0.015129089, -0.021133423, -0.01878357, 0.0027332306, 0.036956787, -0.0053253174, -0.0007238388, 0.016983032, -0.0034694672, 0.059387207, 0.076660156, 0.015312195, -0.015823364, 0.02456665, 0.012901306, 0.020126343, -0.032440186, 0.011291504, -0.001876831, -0.052215576, 0.004634857, 0.036956787, 0.006164551, -0.023422241, -0.025619507, 0.024261475, 0.023849487, 0.015007019, 0.020050049, -0.044067383, 0.030029297, 0.021377563, 0.011657715, 0.017196655, -0.032318115, -0.031555176, -0.00982666, -0.0039787292, -0.079589844, -0.006416321, 0.00844574, -0.007434845, -0.045013428, -0.02557373, -0.01537323, 0.027633667, -0.076538086, -0.0025749207, -0.05279541, 0.029373169, 0.047912598, 0.00083875656, -0.01234436, -0.017059326, 0.01159668, 0.014228821, 0.029571533, -0.055114746, 0.006389618, 0.028869629, 0.09375, -0.014251709, 0.029418945, 0.007633209, 0.010848999, -0.004055023, -0.02116394, 0.007194519, -0.0062217712, -0.01209259, 0.024749756, -0.037506104, -0.029510498, -0.028442383, 0.03189087, 0.0008239746, 0.007419586, -0.016723633, 0.06964111, -0.07232666, 0.022201538, -0.019882202, -0.0385437, -0.022567749, 0.010353088, -0.027755737, -0.006713867, -0.023406982, -0.025054932, -0.013076782, 0.015808105, -0.0073165894, 0.02949524, -0.036499023, -0.07287598, -0.01876831, -0.02709961, -0.06567383, 0.050567627, 0.004047394, 0.030471802, 0.025405884, 0.046783447, 0.01763916, 0.053466797, 0.049072266, -0.015197754, 0.0013389587, 0.049591064, 0.006965637, -0.00014233589, 0.01335907, -0.04675293, -0.026733398, 0.03024292, 0.0012464523, -0.037200928, 0.030166626, -0.08544922, -0.013893127, -0.014823914, 0.0014219284, -0.023620605, -0.0010480881, -0.072387695, 0.057922363, -0.04067993, -0.025299072, 0.020446777, 0.06451416, 0.007205963, 0.015838623, -0.008674622, 0.0002270937, -0.026321411, 0.027130127, -0.01828003, -0.011482239, 0.03463745, 0.00724411, -0.010406494, 0.025268555, -0.023651123, 0.04034424, -0.036834717, 0.05014038, -0.026184082, 0.036376953, 0.03253174, -0.01828003, -0.023376465, -0.034576416, -0.00598526, -0.023239136, -0.032409668, 0.07672119, -0.038604736, 0.056884766, -0.012550354, -0.03778076, -0.013061523, 0.017105103, 0.010482788, -0.005077362, -0.010719299, -0.018661499, 0.019760132, 0.022018433, -0.058746338, 0.03564453, -0.0892334, 0.025421143, -0.015716553, 0.07910156, -0.009361267, 0.016921997, 0.048736572, 0.035247803, 0.01864624, 0.011413574, 0.018295288, 0.00052690506, -0.07122803, -0.01890564, -0.017669678, 0.027694702, 0.0152282715, 0.006511688, -0.045837402, -0.009765625, 0.013877869, -0.0146102905, 0.033294678, -0.0019874573, 0.023040771, 0.025619507, -0.015823364, -0.020858765, -0.023529053, 0.0070152283, -0.0647583, 0.036224365, 0.0023403168, -0.062286377, -0.036315918, 0.021209717, -0.037353516, -0.03656006, 0.01889038, 0.023239136, 0.011764526, 0.005970001, 0.049346924, -0.006893158, -0.015068054, -0.0008716583, -0.0034999847, 0.04034424, 0.017913818, -0.06707764, -0.07531738, 0.00042319298, -0.00680542, -0.0023174286, 0.04425049, -0.05105591, -0.016967773, 0.020507812, 0.038604736, 0.029846191, 0.04309082, -0.00084733963, -0.008911133, 0.0082092285, -0.0050239563, 0.05038452, 0.014595032, 0.015182495, 0.007247925, -0.04046631, -0.011169434, -0.010292053, 0.068603516, 0.02470398, -0.0023403168, 0.005996704, -0.0010709763, 0.008178711, -0.029205322, -0.025253296, 0.05822754, 0.04269409, 0.059295654, -0.0011911392, -0.031311035, 0.023712158, -0.037506104, 0.004589081, 0.014923096, -0.019866943, -0.019180298, -0.0020999908, -0.008972168, 0.01348114, 0.014801025, -0.02645874, 0.019897461, 0.081970215, -0.05822754, 0.09399414, 0.001209259, -0.050750732, 0.062316895, -0.014892578, -0.019104004, -0.036987305, -0.040618896, -0.008163452, -0.0035247803, 0.06774902, -0.001420021, -0.0013103485, -0.031799316, -0.0023651123, 0.012298584, 0.003583908, 0.050964355, -0.01802063, -0.007091522, 0.01448822, -0.016159058, -0.019439697, -0.022491455, -0.036346436, -0.03491211, -0.0032920837, 0.003528595, -0.0016469955, 0.01612854, -0.003709793, 0.012840271, 0.0043182373, -0.030456543, 0.007369995, 0.0039787292, 0.036499023, 0.021362305, 0.00062942505, 0.0047073364, 0.026382446, -0.0020542145, -0.038757324, -0.00095272064, 0.0019435883, 0.007232666, -0.0031471252, 0.019943237, -0.062042236, 0.010826111, 0.0026607513, -0.04727173, 0.020126343, 0.046417236, -0.03881836, 0.011222839, 0.011428833, -0.056396484, 0.010879517, -0.011772156, -0.0038414001, 0.010246277, -0.020141602, -0.011169434, 0.006916046, -0.022659302, 0.010299683, 0.046966553, 0.0234375, -0.0016288757, -0.03262329, -0.01689148, -0.00031924248, 0.028152466, 0.004234314, 0.03878784, -0.03579712, 0.007457733, -0.0036907196, 0.0073051453, -0.00028276443, -0.0067100525, 0.003206253, -0.0021209717, -0.05960083, 0.024337769, 0.076171875, -0.012062073, -0.0032787323, -0.08380127, 0.024917603, 0.019073486, -0.012031555, -0.03237915, -0.0042686462, -0.01525116, -0.0158844, -0.0014514923, -0.024429321, -0.028442383, 0.020843506, 0.007133484, 0.024230957, 0.0002002716, -0.005466461, -0.0032367706, 0.012718201, 0.032806396, 0.062042236, -0.040283203, -0.025497437, 0.045013428, 0.054473877, -0.033599854, -0.0039482117, 0.02268982, -0.0012645721, 0.045166016, 0.0501709, -0.0022602081, 0.019897461, 0.007926941, 0.017364502, 0.011650085, -0.042510986, -0.059448242, 0.030014038, 0.039611816, 0.015571594, 0.04031372, -0.0006723404, -0.03353882, -0.05569458, 0.040283203, 0.019058228, -0.032592773, 0.004470825, 0.06359863, 0.029693604, 0.01826477, -0.0104522705, -0.043945312, -0.01802063, 0.0075187683, -0.02456665, 0.02798462, 0.0047340393, -0.017623901, -0.014335632, -0.04550171, -0.0039711, 0.023864746, -0.015281677, 0.055755615, -0.04864502, 0.033599854, 0.024810791, -0.03048706, -0.043121338, 0.011291504, 0.024932861, -0.0020275116, 0.032287598, -0.0234375, 0.006942749, -0.007221222, -0.03869629, -0.03765869, -0.03475952, -0.046936035, 0.03012085, -0.021362305, -0.023452759, 0.051239014, -0.009925842, 0.04925537, -0.00944519, -0.040008545, -0.019485474, -0.00022566319, -0.017028809, 0.03277588, 0.0066375732, -0.013328552, 0.01864624, -0.011726379, 0.023849487, 0.04006958, 0.03793335, 0.060821533, 0.005504608, -0.0395813, -0.010131836, 0.046539307, 0.030136108, 0.002231598, 0.042236328, 0.014755249, 0.047058105, -0.017318726, 0.008598328, 0.01966858, 0.0064430237, 0.03616333, -0.011985779, -0.003446579, -0.06616211, -0.0657959, 0.014137268, 0.044677734, -0.03515625, -0.05215454, -0.012710571, 0.0047416687, 0.05368042, 0.013900757, 0.05001831, 0.027709961, 0.02557373, -0.025512695, 0.0031032562, 0.072143555, 0.018829346, 0.0073928833, 0.009269714, -0.011299133, 0.0048828125, 0.014808655, -0.0184021, -0.00089359283, -0.0015716553, -0.012863159, 0.0074386597, -0.020767212, 0.02204895, -0.027404785, -0.021972656, 0.02494812, 0.044006348, -0.011581421, 0.06298828, 0.009010315, 0.03842163, -0.00005555153, 0.06774902, 0.036254883, -0.016311646, -0.000004887581, 0.0057373047, 0.03704834, -0.041503906, 0.0074043274, -0.012290955, -0.020263672, -0.0057792664, -0.025878906, -0.021652222, -0.008079529, 0.022613525, -0.012069702, 0.050079346, -0.004283905, -0.021118164, -0.010559082, -0.0041160583, -0.00026345253, -0.01260376, 0.050628662, -0.03137207, 0.027526855, -0.052642822, -0.0046463013, 0.04937744, -0.0017156601, 0.014625549, -0.022476196, 0.02571106, 0.043884277, -0.016952515, -0.021011353, 0.056396484, 0.056762695, 0.013473511, -0.02357483, 0.043792725, 0.032470703, -0.052612305, -0.017837524, -0.000067055225, 0.039276123, -0.012283325, -0.0029888153, -0.024719238, 0.012870789, -0.032287598, 0.028839111, 0.008056641, 0.011100769, -0.034210205, 0.028198242, 0.01940918, 0.029052734, 0.030303955, 0.03475952, -0.03982544, 0.026870728, 0.02079773, 0.03012085, -0.044281006, 0.006462097, -0.008705139, -0.024734497, 0.02458191, -0.050201416, -0.028778076, 0.036956787, 0.025634766, -0.025650024, 0.020629883, -0.04385376, 0.009536743, -0.0027256012, 0.031158447, 0.008712769, -0.039855957, -0.018249512, -0.011268616, 0.009689331, -0.032073975, 0.023010254, 0.04925537, 0.013168335, 0.02734375, 0.031707764, -0.024032593, -0.010604858, -0.00258255, 0.0054092407, 0.033569336, 0.0068359375, 0.019882202, 0.018096924, -0.05392456, -0.0030059814, -0.01374054, -0.008483887, 0.016494751, -0.015487671, 0.016143799, -0.028198242, -0.016326904, -0.013160706, -0.046905518, 0.026428223, -0.02420044, -0.022262573, 0.041748047, 0.05557251, -0.0044059753, -0.030960083, -0.023544312, 0.0103302, -0.013534546, -0.016830444, 0.028167725, 0.0061950684, 0.02178955, -0.06945801, -0.040039062, -0.0024642944, -0.06359863, -0.020812988, 0.029006958, 0.0072364807, -0.028747559, -0.057891846, 0.022155762, -0.035369873, -0.025909424, -0.04095459, 0.0019893646, -0.0038146973, -0.030639648, -0.038970947, -0.0026626587, -0.0047454834, -0.014816284, 0.008575439, -0.032165527, -0.011062622, 0.003622055, -0.0129852295, -0.0007658005, -0.009902954, 0.03704834, -0.02456665, 0.020385742, 0.0019044876, -0.008552551, -0.028137207, -0.006500244, 0.017227173, -0.0077285767, -0.05496216, 0.038024902, -0.0335083, 0.047668457, -0.02998352, -0.0395813, -0.0068359375, -0.024627686, -0.005756378, 0.025863647, 0.032104492, -0.029022217, -0.08685303, -0.014724731, -0.035583496, 0.024002075, 0.008422852, 0.012931824, -0.0055656433, -0.013748169, -0.021530151, -0.034332275, -0.008766174, -0.025222778, 0.019836426, -0.011619568, -0.037963867, 0.013519287, -0.035736084, 0.049102783, -0.011398315, 0.050598145, -0.066833496, 0.080566406, -0.061553955, -0.041778564, 0.01864624, 0.014907837, -0.010482788, 0.035217285, -0.0473938, -0.031951904, 0.052886963, -0.022109985, 0.031677246, -0.01977539, 0.08282471, 0.012901306, -0.009490967, 0.0030956268, 0.023895264, 0.012611389, -0.0011844635, -0.007633209, 0.019195557, -0.05404663, 0.006187439, -0.06762695, -0.049468994, 0.028121948, -0.004032135, -0.043151855, 0.028121948, -0.0058555603, 0.019454956, 0.0028438568, -0.0036354065, -0.015411377, -0.026535034, 0.03704834, -0.01802063, 0.009765625 ], [ 0.04663086, -0.023239136, 0.008163452, -0.03945923, -0.018051147, -0.011123657, 0.0022335052, -0.0015516281, -0.002336502, 0.031799316, -0.049591064, -0.049835205, 0.019317627, -0.013328552, -0.01838684, -0.067871094, 0.02671814, 0.038085938, 0.03265381, -0.0043907166, 0.026321411, 0.0070114136, -0.037628174, 0.008026123, 0.015525818, 0.066589355, -0.018005371, -0.0017309189, -0.052368164, -0.055511475, -0.00504303, 0.043029785, -0.013328552, 0.08581543, -0.038269043, 0.051971436, -0.04675293, 0.038146973, 0.05328369, -0.028762817, 0.01625061, -0.008644104, -0.060150146, -0.0259552, -0.05432129, -0.00680542, -0.012649536, 0.0025501251, 0.060272217, -0.013168335, 0.046691895, 0.030395508, 0.039733887, 0.00044679642, -0.034240723, 0.01828003, -0.047546387, -0.036499023, 0.024505615, 0.027374268, 0.015197754, -0.003932953, 0.03475952, 0.013633728, 0.020858765, -0.025344849, -0.056732178, 0.008178711, 0.043304443, 0.014625549, -0.0020503998, -0.033569336, -0.00178051, -0.0446167, -0.045837402, 0.089538574, 0.00440979, 0.03741455, 0.0015287399, -0.035339355, 0.017654419, -0.008956909, -0.035064697, -0.014251709, 0.008331299, 0.0077781677, 0.0020999908, -0.021636963, -0.014625549, -0.0209198, -0.009429932, 0.070617676, 0.013923645, -0.025558472, -0.0519104, -0.0049552917, 0.000998497, -0.01448822, -0.027175903, -0.04083252, -0.032043457, -0.0096588135, -0.047088623, -0.0012331009, -0.025878906, 0.031799316, -0.023712158, 0.015701294, 0.017730713, 0.062927246, 0.009178162, -0.046295166, -0.014701843, -0.007751465, -0.021148682, 0.033966064, -0.013664246, 0.03945923, -0.02520752, 0.08905029, -0.039520264, -0.012435913, -0.057403564, 0.007068634, 0.006061554, -0.040161133, -0.015548706, 0.080078125, 0.08862305, 0.008003235, -0.048339844, 0.037750244, -0.04498291, -0.065979004, -0.032470703, -0.03225708, 0.004890442, -0.013023376, -0.020965576, 0.035095215, 0.035491943, -0.01486969, 0.027023315, 0.009552002, -0.01285553, 0.044891357, 0.00062322617, -0.030639648, 0.024108887, 0.0035648346, -0.06585693, -0.011070251, 0.037506104, 0.05697632, -0.027236938, 0.03475952, 0.0143585205, -0.014442444, -0.011405945, -0.013648987, -0.028625488, 0.024902344, 0.09387207, -0.012741089, -0.040985107, -0.018814087, 0.0046920776, -0.017715454, 0.013839722, 0.0022621155, 0.0024433136, -0.028366089, -0.0046310425, 0.028717041, -0.00013160706, 0.006690979, -0.053863525, 0.03302002, 0.040802002, 0.03201294, 0.032073975, -0.03125, -0.005241394, 0.048828125, -0.016204834, -0.0014667511, -0.013572693, 0.007949829, 0.019744873, -0.004776001, -0.0022506714, 0.033111572, 0.00039958954, 0.008369446, -0.021057129, -0.033935547, -0.03692627, 0.0042762756, -0.030380249, -0.01876831, -0.023529053, 0.004764557, 0.026947021, -0.013267517, -0.023666382, 0.0024929047, -0.017990112, 0.035217285, 0.0034389496, 0.030380249, 0.02015686, -0.013061523, -0.047790527, 0.042633057, 0.009559631, -0.03186035, -0.02796936, -0.0151901245, -0.0039482117, 0.0345459, -0.018096924, 0.012062073, -0.02180481, 0.031402588, 0.041412354, -0.052459717, 0.006286621, -0.033203125, -0.0013237, -0.012466431, -0.041748047, 0.027313232, -0.0284729, -0.05682373, -0.02809143, 0.030899048, 0.023773193, 0.044677734, -0.0064353943, -0.0000064373016, 0.011512756, 0.0028190613, -0.041870117, -0.028182983, 0.014595032, -0.0143966675, 0.022949219, -0.004371643, 0.01461792, 0.0035171509, 0.01398468, -0.04473877, 0.04232788, -0.033599854, -0.000647068, 0.034606934, 0.006160736, -0.014640808, 0.028137207, -0.02470398, 0.0043563843, 0.00039553642, -0.039886475, 0.014251709, -0.035736084, -0.021347046, -0.029663086, -0.011688232, -0.038085938, -0.0034008026, 0.029144287, -0.010948181, -0.024978638, 0.009468079, 0.093933105, 0.014205933, -0.08569336, -0.011657715, 0.02027893, 0.0063095093, -0.0035533905, 0.020446777, 0.029968262, -0.002008438, 0.03253174, 0.029891968, 0.019577026, -0.002922058, -0.009994507, 0.029418945, 0.049987793, 0.046295166, -0.0072898865, 0.019638062, 0.042816162, 0.0066108704, 0.06591797, 0.04714966, -0.026062012, -0.019470215, 0.009979248, 0.018081665, 0.000009059906, -0.043060303, -0.0043907166, 0.064331055, 0.051605225, -0.0040893555, 0.018081665, -0.024749756, -0.014915466, -0.048614502, 0.023483276, 0.013282776, -0.011741638, -0.036346436, -0.0076293945, 0.023086548, -0.051849365, 0.023223877, 0.033721924, -0.003929138, -0.044647217, 0.020019531, -0.029678345, -0.0031986237, 0.030548096, -0.040161133, -0.020874023, 0.028793335, 0.037872314, 0.011314392, -0.030838013, -0.051818848, -0.007774353, 0.0070724487, 0.02507019, -0.0112838745, 0.014930725, 0.010543823, 0.085998535, 0.019332886, 0.0107803345, 0.00014901161, 0.001613617, -0.024993896, -0.04940796, 0.010643005, 0.04269409, -0.02571106, 0.001124382, -0.018844604, -0.014953613, 0.027786255, 0.033447266, 0.0038719177, 0.011268616, 0.004295349, 0.028656006, -0.078063965, -0.012619019, -0.03527832, -0.061279297, 0.0625, 0.038116455, -0.008308411, -0.017913818, 0.031311035, -0.018722534, 0.0362854, -0.019363403, 0.021362305, -0.0029010773, -0.030288696, -0.07293701, 0.008544922, 0.006755829, -0.068237305, 0.0491333, 0.016494751, -0.021621704, 0.020980835, 0.026443481, 0.051879883, 0.035583496, 0.030548096, -0.03366089, -0.017532349, 0.066101074, 0.03930664, 0.013633728, -0.008621216, 0.031982422, -0.042388916, -0.00042247772, -0.020492554, 0.04006958, 0.052825928, -0.0044136047, -0.02243042, -0.04260254, 0.02418518, -0.020584106, -0.0027770996, -0.05908203, 0.026611328, -0.046051025, -0.03451538, 0.017944336, 0.054260254, 0.019348145, 0.0070114136, 0.014205933, -0.019454956, -0.021514893, 0.010383606, 0.050109863, 0.020584106, -0.031677246, -0.048187256, 0.01449585, 0.04650879, 0.025222778, 0.004135132, 0.02017212, 0.044311523, -0.03427124, -0.023757935, 0.03479004, -0.012031555, -0.030380249, -0.021560669, -0.010375977, -0.05041504, -0.060821533, 0.012283325, -0.026367188, 0.061920166, 0.026367188, -0.037078857, -0.015136719, 0.033355713, -0.010055542, 0.025314331, -0.027893066, -0.010032654, 0.017684937, -0.00002783537, -0.061157227, 0.030273438, -0.103759766, 0.035583496, -0.028167725, 0.07171631, -0.0211792, -0.013725281, 0.04437256, 0.041137695, 0.027145386, 0.032073975, 0.008926392, -0.021560669, 0.007381439, 0.019165039, 0.0012969971, -0.01928711, 0.026672363, -0.01222229, -0.056365967, 0.010398865, -0.02255249, 0.00093221664, -0.009353638, 0.016082764, 0.022872925, 0.025024414, -0.024459839, 0.040618896, -0.049224854, -0.0035133362, -0.047698975, 0.01727295, 0.034057617, -0.004096985, -0.009361267, 0.011291504, -0.010093689, -0.017990112, 0.04107666, -0.058563232, -0.03387451, -0.046905518, 0.015411377, -0.02003479, -0.010528564, -0.01689148, 0.010391235, -0.040618896, 0.029205322, -0.020492554, -0.082092285, 0.0004811287, 0.043518066, -0.044830322, 0.020141602, -0.02319336, 0.0024662018, 0.012825012, 0.04977417, 0.06225586, 0.027801514, 0.005153656, 0.04147339, 0.0011873245, 0.004486084, -0.02494812, 0.061706543, 0.012184143, -0.0027637482, -0.018447876, -0.008987427, -0.0362854, 0.10205078, 0.026138306, -0.056549072, 0.015899658, 0.04449463, -0.017837524, -0.0044898987, -0.04348755, 0.06689453, 0.008728027, 0.047454834, 0.03289795, -0.034851074, 0.04675293, -0.058807373, 0.03164673, 0.01322937, -0.06958008, -0.042816162, -0.022918701, -0.019760132, 0.008293152, 0.02709961, -0.05822754, 0.011459351, -0.0008597374, -0.01574707, 0.027954102, -0.029785156, -0.03665161, 0.017562866, -0.027297974, -0.024017334, -0.0423584, -0.039245605, 0.0028457642, -0.0010719299, 0.01763916, 0.009902954, -0.023849487, -0.009399414, -0.016464233, 0.045074463, -0.0056762695, 0.04537964, -0.04397583, -0.025817871, 0.037353516, -0.018737793, 0.01084137, 0.0038528442, -0.04547119, -0.024475098, -0.05545044, -0.005756378, 0.008132935, 0.014541626, -0.0020751953, 0.03793335, -0.004421234, -0.037261963, -0.00818634, 0.026733398, 0.04776001, -0.012313843, 0.0019369125, -0.0006084442, 0.01335907, -0.033813477, -0.024459839, 0.046783447, -0.006389618, -0.055999756, -0.059295654, 0.008743286, -0.033966064, 0.022537231, -0.018722534, -0.041259766, 0.040039062, 0.028747559, -0.03515625, 0.0019016266, 0.041778564, -0.0046539307, 0.00014257431, 0.011451721, 0.016998291, 0.00522995, -0.04837036, -0.024520874, 0.025466919, -0.020706177, 0.017608643, 0.062042236, -0.0039596558, -0.021911621, -0.013893127, -0.0000885129, 0.00075626373, 0.03414917, 0.011314392, 0.018661499, -0.009719849, 0.012748718, -0.026809692, -0.01436615, 0.021469116, -0.036254883, 0.00907135, -0.026016235, -0.01625061, 0.030075073, 0.011817932, -0.0038528442, -0.0028858185, -0.021820068, 0.037475586, 0.0115356445, -0.0077285767, -0.05328369, -0.051361084, 0.040649414, -0.005958557, -0.02279663, 0.01953125, -0.016937256, 0.03781128, -0.0016212463, 0.015098572, -0.01626587, 0.0067443848, 0.027175903, 0.011459351, 0.038513184, 0.06222534, -0.0073547363, -0.010383606, 0.0017681122, 0.045043945, -0.044921875, -0.0104599, 0.035858154, -0.008323669, 0.0025901794, 0.021514893, -0.010971069, 0.016738892, 0.0018157959, -0.0071258545, -0.029022217, -0.047027588, -0.02670288, 0.029220581, -0.022750854, 0.025054932, -0.008544922, 0.006164551, -0.029052734, -0.031066895, 0.06304932, -0.044647217, -0.017562866, -0.0068511963, 0.06604004, 0.039916992, -0.007041931, -0.02772522, -0.05795288, -0.022247314, -0.02810669, -0.03845215, 0.045074463, -0.014060974, -0.016174316, 0.046722412, -0.0006046295, -0.019500732, -0.025985718, 0.032989502, 0.028366089, 0.0021324158, 0.0020503998, 0.051574707, 0.009117126, -0.03112793, -0.006565094, 0.019226074, 0.009971619, -0.0064735413, -0.017700195, 0.0024414062, -0.0008454323, -0.04071045, -0.034820557, -0.031066895, -0.044677734, 0.039398193, -0.012580872, -0.06549072, 0.027130127, -0.0309906, 0.023727417, -0.019760132, 0.0066490173, -0.004798889, 0.009155273, -0.009902954, 0.047576904, 0.005466461, 0.001537323, 0.014862061, -0.0027828217, -0.0079956055, 0.043182373, 0.0051841736, 0.034484863, -0.028015137, -0.012870789, -0.019714355, 0.036071777, 0.015716553, -0.016860962, 0.0034122467, -0.014289856, 0.039031982, 0.017730713, -0.013549805, 0.046691895, 0.022094727, 0.04647827, 0.008033752, 0.028747559, -0.030288696, -0.018722534, -0.015113831, 0.051971436, -0.040893555, -0.039978027, -0.0042266846, -0.008346558, 0.059814453, 0.0011167526, 0.056030273, -0.08166504, -0.059631348, -0.015731812, 0.009529114, 0.025756836, 0.022232056, -0.0049819946, 0.021118164, -0.020446777, 0.0032253265, 0.017105103, -0.030944824, 0.010154724, -0.021881104, -0.018081665, 0.029342651, 0.024047852, 0.017700195, -0.02268982, 0.018356323, 0.026519775, 0.032226562, -0.004711151, 0.018753052, 0.007789612, 0.033172607, -0.034423828, 0.035247803, -0.019729614, -0.021194458, 0.0071411133, -0.014549255, -0.0073165894, -0.05596924, 0.015060425, -0.014305115, -0.030090332, 0.001613617, -0.026809692, -0.02571106, -0.0041275024, 0.027389526, -0.0059509277, 0.0473938, -0.0002002716, 0.00037145615, 0.0031642914, -0.0044441223, 0.0023765564, 0.0121154785, 0.04260254, -0.035736084, 0.019424438, -0.005558014, 0.0038166046, 0.03717041, -0.0031261444, 0.0446167, 0.015098572, -0.0022087097, 0.0385437, 0.024505615, -0.03353882, -0.028533936, 0.06048584, -0.019332886, -0.046539307, 0.007232666, -0.031585693, 0.02168274, 0.0046195984, -0.041412354, 0.032592773, 0.056671143, 0.031173706, -0.011398315, 0.033416748, 0.01802063, -0.0259552, -0.0028705597, 0.046539307, -0.040008545, 0.022567749, 0.020980835, 0.024383545, 0.02861023, 0.010574341, -0.008300781, 0.024261475, 0.030319214, -0.011238098, -0.030197144, 0.013389587, 0.010879517, -0.031311035, 0.035308838, -0.014755249, 0.01612854, 0.05722046, -0.019470215, -0.014045715, 0.022842407, -0.085998535, 0.017166138, 0.011474609, 0.018325806, 0.010398865, 0.00434494, -0.013153076, 0.025482178, 0.007217407, -0.0017223358, 0.041046143, 0.036895752, -0.028656006, -0.008026123, 0.026550293, -0.0146102905, 0.0053215027, -0.057037354, 0.008743286, 0.018066406, 0.0025310516, -0.0035171509, -0.02230835, -0.018218994, 0.0069618225, -0.006111145, 0.017532349, 0.034210205, -0.040496826, 0.031433105, -0.006587982, -0.031097412, -0.0154418945, -0.009414673, 0.006729126, 0.004711151, 0.00920105, 0.0025501251, -0.0016479492, -0.0107803345, -0.070129395, -0.046203613, 0.06616211, -0.019622803, -0.06298828, -0.022628784, 0.04156494, 0.026672363, -0.11505127, -0.080200195, -0.0491333, -0.03744507, -0.0178833, 0.016326904, 0.03201294, -0.013259888, -0.042114258, 0.0023727417, 0.005683899, -0.027908325, 0.040039062, -0.055847168, -0.03781128, -0.018753052, 0.03274536, 0.0121536255, 0.04360962, -0.0110321045, 0.017913818, -0.0231781, -0.018936157, -0.002658844, 0.011222839, -0.0082473755, -0.0039043427, 0.011512756, -0.014328003, 0.037994385, -0.020767212, 0.025314331, -0.023727417, 0.030303955, 0.03302002, 0.0040512085, -0.074401855, 0.027450562, -0.030838013, 0.042053223, -0.04425049, -0.022613525, 0.0025463104, 0.029449463, -0.0023975372, 0.03717041, 0.020751953, -0.000009357929, -0.06842041, -0.045074463, -0.035980225, 0.03060913, 0.00049352646, -0.0013618469, 0.018676758, 0.00070238113, -0.015472412, -0.035736084, -0.008995056, 0.008773804, 0.009635925, 0.023330688, -0.027008057, -0.0074501038, -0.0040893555, 0.010391235, -0.030014038, -0.04119873, -0.06329346, 0.049926758, -0.016952515, -0.015045166, -0.0010814667, 0.020309448, -0.0034770966, 0.05996704, -0.043273926, -0.035491943, 0.017654419, 0.033325195, -0.015403748, 0.03942871, -0.003692627, -0.008995056, -0.012290955, -0.004722595, 0.010276794, -0.027023315, -0.0052871704, 0.019729614, 0.026519775, -0.029541016, -0.05505371, 0.007499695, -0.030639648, 0.00042963028, -0.016693115, 0.03125, 0.03543091, 0.010482788, 0.018081665, 0.030441284, 0.030960083, -0.008422852, -0.00983429, 0.047332764, 0.0023212433, 0.0052719116 ] ] }, "texts": [ "hello", "goodbye" ], "meta": { "api_version": { "version": "2", "is_experimental": true }, "billed_units": { "input_tokens": 2 }, "warnings": [ "You are using an experimental version, for more information please refer to https://docs.cohere.com/reference/about" ] } } ``` **SDK Code** ```go Texts package main import ( "context" "log" "os" cohere "github.com/cohere-ai/cohere-go/v2" "github.com/cohere-ai/cohere-go/v2/client" ) func main() { co := client.NewClient(client.WithToken(os.Getenv("CO_API_KEY"))) resp, err := co.V2.Embed( context.TODO(), &cohere.V2EmbedRequest{ Texts: []string{"hello", "goodbye"}, Model: "embed-v5.0-fast", InputType: cohere.EmbedInputTypeSearchDocument, EmbeddingTypes: []cohere.EmbeddingType{cohere.EmbeddingTypeFloat}, }, ) if err != nil { log.Fatal(err) } log.Printf("%+v", resp) } ``` ```typescript Texts import { CohereClient } from 'cohere-ai'; const cohere = new CohereClient({}); (async () => { const embed = await cohere.v2.embed({ texts: ['hello', 'goodbye'], model: 'embed-v5.0-fast', inputType: 'search_document', embeddingTypes: ['float'], }); console.log(embed); })(); ``` ```python Texts import cohere co = cohere.ClientV2() text_inputs = [ { "content": [ {"type": "text", "text": "hello"}, {"type": "text", "text": "goodbye"} ] }, ] response = co.embed( inputs=text_inputs, model="embed-v5.0-fast", input_type="search_document", embedding_types=["float"], ) print(response) ``` ```python Texts (async) import cohere import asyncio co = cohere.AsyncClient() async def main(): response = await co.embed( texts=["hello", "goodbye"], model="embed-v5.0-fast", input_type="search_document", ) print(response) asyncio.run(main()) ``` ```java Texts package embedv2post; /* (C)2024 */ import com.cohere.api.Cohere; import com.cohere.api.resources.v2.requests.V2EmbedRequest; import com.cohere.api.types.EmbedByTypeResponse; import com.cohere.api.types.EmbedInputType; import java.util.List; public class EmbedPost { public static void main(String[] args) { Cohere cohere = Cohere.builder().clientName("snippet").build(); EmbedByTypeResponse response = cohere .v2() .embed( V2EmbedRequest.builder() .model("embed-v5.0-fast") .inputType(EmbedInputType.SEARCH_DOCUMENT) .texts(List.of("hello", "goodbye")) .build()); System.out.println(response); } } ``` ```ruby Texts require 'uri' require 'net/http' url = URI("https://api.cohere.com/v2/embed") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = 'Bearer ' request["Content-Type"] = 'application/json' request.body = "{\n \"model\": \"embed-v5.0-fast\",\n \"input_type\": \"search_document\",\n \"texts\": [\n \"hello\",\n \"goodbye\"\n ],\n \"embedding_types\": [\n \"float\"\n ]\n}" response = http.request(request) puts response.read_body ``` ```php Texts request('POST', 'https://api.cohere.com/v2/embed', [ 'body' => '{ "model": "embed-v5.0-fast", "input_type": "search_document", "texts": [ "hello", "goodbye" ], "embedding_types": [ "float" ] }', 'headers' => [ 'Authorization' => 'Bearer ', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp Texts using RestSharp; var client = new RestClient("https://api.cohere.com/v2/embed"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", "Bearer "); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"model\": \"embed-v5.0-fast\",\n \"input_type\": \"search_document\",\n \"texts\": [\n \"hello\",\n \"goodbye\"\n ],\n \"embedding_types\": [\n \"float\"\n ]\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift Texts import Foundation let headers = [ "Authorization": "Bearer ", "Content-Type": "application/json" ] let parameters = [ "model": "embed-v5.0-fast", "input_type": "search_document", "texts": ["hello", "goodbye"], "embedding_types": ["float"] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.cohere.com/v2/embed")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ``` ### Images **Request** ```json { "model": "embed-v5.0-fast", "input_type": "search_document", "images": [ "data:image/jpeg;base64,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" ], "embedding_types": [ "float" ] } ``` **Response** ```json { "id": "5807ee2e-0cda-445a-9ec8-864c60a06606", "embeddings": { "float": [ [ -0.007247925, -0.041229248, -0.023223877, -0.08392334, -0.03378296, -0.008308411, -0.049926758, 0.041625977, 0.043151855, 0.03652954, -0.05154419, 0.011787415, -0.02784729, -0.024230957, -0.018295288, -0.0440979, 0.032928467, -0.015007019, 0.009315491, -0.028213501, -0.00022602081, -0.0074157715, -0.000975132, 0.05783081, 0.029510498, 0.024871826, -0.009422302, -0.028701782, -0.021118164, -0.019088745, -0.0038433075, 0.04083252, 0.03024292, -0.010154724, -0.008163452, 0.04269409, 0.017471313, -0.010017395, 0.006629944, 0.011047363, 0.013542175, -0.007926941, -0.024932861, -0.05960083, -0.05404663, 0.037384033, -0.049621582, -0.024002075, 0.040039062, 0.02645874, 0.010261536, -0.028244019, 0.016479492, 0.014266968, -0.043823242, -0.022262573, -0.0057678223, -0.04800415, 0.041015625, 0.01537323, -0.021530151, -0.014663696, 0.051849365, -0.025558472, 0.045776367, -0.025665283, -0.005821228, 0.02973938, 0.053131104, 0.020706177, -0.004600525, 0.0046920776, 0.02558899, -0.05319214, -0.058013916, 0.080444336, -0.00068187714, 0.031311035, 0.032440186, -0.051086426, -0.003534317, 0.046325684, -0.032440186, -0.03894043, -0.0071907043, -0.004627228, -0.01826477, -0.027755737, 0.040802002, 0.019363403, -0.009727478, 0.0064468384, 0.056488037, 0.018585205, -0.017974854, -0.08514404, 0.000050604343, -0.014839172, 0.01586914, 0.00017666817, 0.02267456, -0.05105591, 0.007785797, -0.02684021, 0.0064849854, 0.014411926, 0.0013427734, -0.012611389, 0.043701172, 0.012290955, -0.030731201, 0.034729004, 0.015289307, -0.037475586, -0.030838013, 0.010009766, -0.028244019, 0.051635742, 0.01725769, 0.013977051, 0.008102417, 0.028121948, 0.02079773, 0.0027256012, 0.009185791, 0.0016012192, -0.038116455, -0.008331299, -0.028076172, 0.018463135, -0.02154541, 0.021240234, 0.023376465, 0.02961731, -0.028305054, -0.023101807, -0.010681152, -0.0072021484, -0.04321289, 0.0058517456, 0.030792236, -0.021102905, 0.050933838, 0.0060157776, 0.0128479, 0.025146484, -0.006099701, 0.023345947, 0.023971558, 0.015510559, -0.009895325, -0.04071045, 0.049835205, 0.0053100586, -0.028930664, 0.017578125, -0.0048217773, -0.0042762756, -0.034240723, -0.03253174, 0.035827637, 0.01574707, 0.034851074, 0.070129395, 0.011749268, -0.009223938, 0.02470398, -0.005115509, 0.016723633, 0.04937744, -0.032928467, 0.031280518, -0.00023400784, 0.010169983, -0.01071167, 0.010520935, 0.022338867, -0.0259552, 0.044769287, 0.0070610046, -0.012451172, -0.04156494, 0.047088623, -0.017578125, 0.012741089, -0.016479492, 0.0023078918, -0.008331299, 0.021591187, 0.01473999, -0.018081665, 0.033081055, -0.057556152, 0.008621216, 0.013954163, -0.009742737, -0.015548706, 0.015281677, -0.005958557, 0.0065307617, 0.01979065, 0.041778564, -0.02684021, 0.027709961, -0.07672119, 0.023406982, -0.037902832, 0.035339355, -0.021881104, 0.056732178, 0.03466797, 0.0059318542, -0.058654785, 0.025375366, 0.015029907, 0.002380371, -0.024230957, 0.014541626, -0.006641388, -0.01864624, 0.012290955, 0.0007929802, -0.009277344, 0.04953003, -0.004081726, 0.0029258728, -0.017181396, 0.0074920654, -0.0001707077, 0.04220581, 0.008972168, -0.0071525574, 0.0015583038, 0.034362793, -0.019058228, 0.013626099, 0.022613525, -0.0061149597, 0.017669678, 0.015586853, 0.034973145, 0.02217102, -0.045013428, -0.009864807, 0.07244873, 0.010177612, 0.029724121, -0.018829346, -0.034057617, -0.018859863, 0.059936523, -0.0076408386, 0.021331787, -0.013786316, 0.015281677, 0.016235352, -0.039855957, -0.02748108, -0.033416748, 0.016174316, 0.026489258, 0.0049095154, -0.026000977, 0.00831604, -0.019851685, -0.021408081, 0.023010254, 0.030075073, 0.0335083, -0.05493164, 0.019515991, -0.020401001, -0.0061073303, 0.018997192, 0.020126343, -0.027740479, -0.038116455, 0.0052948, -0.008613586, -0.016494751, -0.001247406, 0.022644043, 0.008300781, -0.02104187, 0.016693115, -0.0032901764, 0.012046814, -0.023468018, -0.007259369, 0.031234741, 0.06604004, 0.051635742, 0.0009441376, -0.006084442, 0.025619507, -0.006881714, 0.02999878, 0.050964355, 0.017715454, -0.024856567, -0.010070801, 0.05319214, -0.03652954, 0.011810303, -0.011978149, 0.013046265, -0.016662598, 0.017166138, -0.005542755, -0.07989502, 0.029220581, 0.056488037, 0.015914917, -0.011184692, -0.018203735, -0.03894043, -0.026626587, 0.0010070801, -0.07397461, -0.060333252, 0.046020508, -0.017440796, -0.020385742, -0.0211792, -0.018295288, -0.01802063, 0.003211975, -0.012969971, -0.034576416, -0.022079468, 0.034606934, -0.022079468, -0.02154541, -0.0039367676, 0.015419006, -0.027023315, 0.024642944, -0.0007047653, -0.008293152, 0.02708435, 0.05267334, 0.010177612, 0.017822266, -0.021759033, -0.051116943, -0.02583313, -0.06427002, 0.03213501, -0.009635925, -0.04547119, 0.018997192, -0.024032593, -0.011024475, 0.033935547, 0.050842285, 0.011009216, -0.002527237, 0.04852295, 0.038360596, -0.035583496, -0.021377563, -0.016052246, -0.072143555, 0.03665161, 0.02897644, -0.03842163, -0.00068187714, 0.022415161, -0.0030879974, 0.043762207, 0.05392456, -0.0362854, -0.04647827, -0.034057617, -0.040374756, -0.03942871, 0.030761719, -0.068115234, 0.011329651, 0.011413574, -0.012435913, 0.01576233, 0.022766113, 0.05609131, 0.07092285, 0.017593384, 0.024337769, 0.027923584, 0.06994629, 0.00655365, -0.020248413, -0.03945923, -0.0491333, -0.049194336, 0.020050049, 0.010910034, 0.013511658, 0.01676941, -0.041900635, -0.046142578, 0.012268066, 0.026748657, -0.036499023, 0.021713257, -0.036590576, 0.014411926, 0.029174805, -0.029388428, 0.04119873, 0.04852295, 0.007068634, -0.00090408325, 0.0048332214, -0.015777588, -0.01499939, -0.0068206787, -0.02708435, 0.010543823, 0.004085541, -0.026901245, -0.0045661926, 0.0061912537, -0.0014343262, 0.028945923, -0.03552246, 0.030441284, -0.029281616, 0.050628662, -0.033599854, -0.085510254, -0.052520752, -0.07507324, -0.008003235, -0.026382446, -0.078063965, -0.025161743, -0.025421143, -0.0073165894, 0.01889038, -0.05999756, -0.0051612854, 0.0072517395, -0.011497498, 0.01687622, 0.002231598, -0.034423828, -0.0013084412, -0.012413025, 0.008888245, 0.017486572, -0.03353882, 0.0069885254, -0.02722168, 0.02015686, -0.04510498, -0.038726807, -0.0031356812, 0.033233643, 0.025268555, -0.015106201, 0.02407837, -0.00024700165, -0.07409668, -0.012367249, 0.014785767, -0.04486084, 0.074401855, -0.020690918, -0.025222778, 0.029083252, -0.018997192, 0.0017557144, 0.03857422, -0.020111084, 0.03338623, -0.028213501, 0.0063705444, -0.010124207, -0.03112793, -0.03286743, 0.0046043396, -0.0052223206, 0.00023317337, 0.0423584, 0.028030396, 0.0005788803, -0.02708435, 0.006324768, 0.019821167, -0.0042686462, -0.026428223, -0.02293396, 0.036590576, -0.023376465, -0.022537231, 0.032226562, -0.020629883, 0.017929077, 0.0440979, -0.014038086, -0.022216797, 0.020446777, -0.05496216, -0.018859863, -0.039855957, 0.008300781, 0.07281494, 0.018295288, 0.042114258, 0.005519867, 0.017990112, -0.008773804, 0.011123657, -0.008239746, -0.045532227, 0.026153564, -0.015853882, 0.027557373, -0.049041748, -0.0022945404, -0.009399414, -0.045898438, 0.05053711, 0.038513184, -0.031799316, 0.012329102, 0.024871826, 0.04348755, -0.04788208, 0.01423645, 0.021240234, 0.05493164, 0.008956909, -0.056243896, 0.032043457, -0.01574707, -0.01285553, -0.009498596, -0.018951416, -0.029556274, 0.0069274902, -0.032348633, -0.022445679, -0.00093603134, -0.015808105, -0.027175903, 0.014091492, 0.025665283, -0.023468018, -0.03250122, -0.0004544258, 0.042633057, -0.06036377, -0.039611816, -0.042938232, -0.02418518, -0.0703125, 0.045135498, -0.001036644, -0.017913818, -0.004043579, 0.0138549805, -0.02532959, 0.010765076, 0.021575928, 0.013114929, 0.033935547, -0.010574341, 0.017990112, -0.026107788, -0.029144287, -0.046569824, -0.0030517578, -0.022994995, -0.017471313, -0.0070495605, -0.00009846687, 0.029281616, 0.017440796, 0.045532227, 0.025650024, 0.0491333, -0.013145447, 0.070129395, -0.0051879883, -0.04043579, 0.023864746, 0.016830444, -0.014152527, -0.06359863, -0.005065918, -0.009880066, -0.0034618378, -0.081726074, -0.0289917, -0.007461548, -0.0013504028, 0.020523071, 0.0076446533, -0.011650085, 0.014549255, 0.010955811, 0.02180481, -0.027572632, -0.012252808, 0.009033203, -0.0048980713, 0.031173706, -0.020309448, 0.022979736, -0.013900757, -0.004108429, 0.018325806, -0.031402588, 0.01737976, 0.03201294, -0.02508545, -0.015625, -0.04626465, -0.014656067, 0.016036987, -0.030639648, 0.041748047, -0.0032978058, -0.03277588, 0.037719727, 0.023788452, -0.008140564, -0.041809082, 0.034698486, -0.022994995, -0.009979248, -0.03729248, -0.0904541, 0.00028443336, 0.080566406, -0.035125732, -0.054229736, -0.017700195, 0.060668945, 0.008979797, 0.015052795, -0.0072364807, -0.001490593, 0.0065231323, -0.014579773, 0.016067505, -0.020339966, -0.020217896, 0.02909851, 0.050628662, 0.04510498, -0.01979065, 0.008918762, 0.031799316, 0.031951904, -0.016906738, 0.031036377, 0.0040664673, -0.046905518, -0.04928589, 0.044403076, -0.0524292, -0.012832642, 0.049835205, 0.0040283203, -0.012649536, 0.06878662, -0.02859497, -0.014137268, 0.0036144257, -0.06262207, 0.046813965, 0.024978638, 0.0017976761, -0.032409668, -0.004108429, -0.013557434, -0.07196045, 0.026733398, 0.0024261475, -0.022735596, -0.0022182465, -0.0064315796, -0.03652954, 0.04135132, -0.032562256, 0.004524231, 0.020019531, -0.0113220215, -0.071777344, -0.03451538, 0.0022583008, -0.06512451, -0.005317688, 0.020248413, -0.036712646, 0.005809784, -0.018951416, -0.0026855469, 0.027572632, -0.00036668777, 0.0073623657, -0.018829346, 0.009101868, 0.051971436, 0.023132324, -0.022537231, 0.00932312, 0.00944519, 0.014183044, 0.020889282, 0.0032844543, -0.0073776245, -0.05807495, -0.032440186, 0.033996582, 0.0423584, 0.014259338, 0.061676025, -0.02154541, -0.031982422, 0.005493164, -0.01512146, 0.023101807, -0.011383057, -0.059539795, 0.021820068, 0.015487671, -0.004875183, -0.015640259, 0.015319824, -0.0054359436, -0.026229858, 0.0061454773, -0.032348633, 0.038513184, 0.004840851, -0.016021729, -0.017608643, -0.019577026, -0.009178162, 0.045013428, -0.01007843, 0.022323608, 0.034179688, 0.00566864, 0.055511475, -0.033355713, -0.019317627, -0.00008481741, 0.017547607, -0.053344727, 0.012229919, 0.022384644, 0.018051147, 0.010734558, 0.004501343, -0.05911255, -0.0030918121, -0.0513916, -0.0050086975, -0.01600647, 0.05343628, -0.0008234978, 0.07293701, -0.056610107, -0.06549072, -0.01776123, -0.0022678375, 0.023239136, 0.01020813, -0.005153656, -0.00630188, -0.009880066, 0.022109985, 0.033203125, -0.03567505, -0.014129639, 0.015625, 0.022888184, -0.038726807, -0.026321411, -0.007259369, 0.005924225, 0.0010814667, 0.06665039, -0.008880615, 0.053771973, 0.062194824, 0.018981934, 0.022338867, 0.01361084, 0.025604248, 0.022109985, 0.0044288635, -0.008331299, -0.0019416809, 0.006454468, -0.045013428, -0.02519226, -0.012268066, -0.032165527, 0.000072181225, -0.021575928, -0.006324768, 0.029785156, 0.0063438416, -0.01210022, 0.029403687, 0.00592041, 0.008369446, 0.00818634, -0.04498291, -0.041809082, 0.0078086853, -0.05935669, -0.043518066, 0.007270813, 0.060424805, 0.033996582, 0.055908203, 0.013755798, 0.03982544, 0.014640808, -0.01373291, 0.033325195, -0.0047073364, 0.015899658, -0.00043344498, 0.022338867, -0.007095337, 0.02949524, 0.042633057, 0.030670166, 0.022415161, -0.0033683777, 0.018814087, -0.013031006, 0.031951904, 0.022094727, -0.009986877, 0.025665283, -0.0138168335, 0.049743652, 0.024307251, 0.0088272095, -0.03479004, 0.07318115, 0.009849548, 0.051635742, -0.05331421, -0.053131104, -0.0044898987, 0.029342651, 0.005596161, 0.044189453, -0.042388916, -0.012939453, -0.0007529259, -0.06088257, 0.036010742, -0.02355957, 0.004497528, -0.0023822784, -0.053588867, -0.04168701, -0.017868042, -0.01927185, -0.06011963, 0.028884888, 0.061401367, -0.005584717, 0.014823914, -0.02255249, 0.00004631281, 0.039031982, -0.0055389404, 0.007194519, 0.0037631989, 0.008834839, 0.018692017, 0.033111572, -0.056274414, -0.021774292, 0.04727173, -0.03265381, 0.022140503, 0.027801514, 0.004043579, -0.016525269, -0.041809082, 0.024520874, 0.008529663, 0.049072266, 0.033447266, -0.028839111, 0.048675537, 0.021453857, -0.08087158, 0.034606934, -0.002910614, 0.012176514, 0.035705566, 0.040161133, -0.02355957, -0.01626587, -0.033721924, -0.013893127, -0.04156494, 0.06719971, 0.043151855, -0.033813477, 0.028045654, 0.0029525757, -0.022033691, -0.093811035, -0.0056114197, 0.00026154518, 0.058746338, -0.05065918, 0.02897644, -0.01550293, -0.02947998, -0.018249512, 0.034942627, -0.04574585, -0.037109375, -0.006160736, 0.006149292, -0.0012207031, -0.042907715, -0.016448975, 0.0052719116, 0.036590576, -0.045318604, -0.04220581, -0.018859863, -0.031021118, 0.06439209, -0.0056533813, -0.037200928, -0.026550293, 0.027786255, -0.028427124, 0.09161377, -0.0088272095, -0.003643036, -0.053253174, -0.01826477, -0.016540527, -0.012535095, -0.03942871, -0.0049095154, 0.031311035, 0.049468994, -0.066589355, -0.05029297, 0.000075519085, -0.0017404556, -0.013214111, -0.03756714, -0.009147644, -0.025466919, 0.026672363, 0.020965576, -0.0073432922, 0.0011005402, -0.04937744, -0.018463135, 0.00274086, -0.013252258, 0.0126953125, -0.077697754, 0.014045715, 0.00039935112, -0.019515991, -0.0027618408, -0.011672974, -0.043884277, 0.009231567, 0.062805176, -0.0137786865, -0.026229858, -0.034362793, -0.015090942, 0.016937256, 0.030639648, -0.02420044, 0.02482605, -0.0033740997, 0.046417236, -0.012008667, -0.04031372, -0.00032520294, 0.01525116, -0.0066375732, 0.0062713623, -0.01171875, -0.027191162, -0.014137268, -0.025390625, 0.002111435, -0.06561279, 0.031555176, -0.07519531, -0.04547119, 0.014472961, -0.0158844, -0.091552734, -0.03366089, 0.050323486, -0.0013589859, -0.033203125, 0.046539307, -0.030288696, 0.0046195984, 0.049835205, 0.02003479, -0.004196167, 0.013168335, -0.016403198, 0.01676941, -0.00340271 ] ] }, "texts": [], "images": [ { "width": 400, "height": 400, "format": "jpeg", "bit_depth": 24 } ], "meta": { "api_version": { "version": "2" }, "billed_units": { "images": 1 } } } ``` **SDK Code** ```go Images package main import ( "context" "encoding/base64" "fmt" "io" "log" "net/http" "os" cohere "github.com/cohere-ai/cohere-go/v2" "github.com/cohere-ai/cohere-go/v2/client" ) func main() { // Fetch the image resp, err := http.Get("https://cohere.com/favicon-32x32.png") if err != nil { log.Println("Error fetching the image:", err) return } defer resp.Body.Close() // Read the image content buffer, err := io.ReadAll(resp.Body) if err != nil { log.Println("Error reading the image content:", err) return } stringifiedBuffer := base64.StdEncoding.EncodeToString(buffer) contentType := resp.Header.Get("Content-Type") imageBase64 := fmt.Sprintf("data:%s;base64,%s", contentType, stringifiedBuffer) co := client.NewClient(client.WithToken(os.Getenv("CO_API_KEY"))) embed, err := co.V2.Embed( context.TODO(), &cohere.V2EmbedRequest{ Images: []string{imageBase64}, Model: "embed-v5.0-fast", InputType: cohere.EmbedInputTypeSearchDocument, EmbeddingTypes: []cohere.EmbeddingType{cohere.EmbeddingTypeFloat}, }, ) if err != nil { log.Fatal(err) } log.Printf("%+v", embed) } ``` ```typescript Images import { CohereClient } from 'cohere-ai'; const cohere = new CohereClient({}); (async () => { const image = await fetch('https://cohere.com/favicon-32x32.png'); const buffer = await image.arrayBuffer(); const stringifiedBuffer = Buffer.from(buffer).toString('base64'); const contentType = image.headers.get('content-type'); const imageBase64 = `data:${contentType};base64,${stringifiedBuffer}`; const embed = await cohere.v2.embed({ model: 'embed-v5.0-fast', inputType: 'search_document', embeddingTypes: ['float'], images: [imageBase64], }); console.log(embed); })(); ``` ```python Images import cohere import requests import base64 co = cohere.ClientV2() image = requests.get("https://cohere.com/favicon-32x32.png") stringified_buffer = base64.b64encode(image.content).decode("utf-8") content_type = image.headers["Content-Type"] image_base64 = f"data:{content_type};base64,{stringified_buffer}" image_inputs = [ { "content": [ { "type": "image_url", "image_url": {"url": image_base64} } ] } ] response = co.embed( model="embed-v5.0-fast", input_type="search_document", embedding_types=["float"], inputs=image_inputs ) print(response) ``` ```java Images package embedv2post; /* (C)2024 */ import com.cohere.api.Cohere; import com.cohere.api.resources.v2.requests.V2EmbedRequest; import com.cohere.api.types.EmbedByTypeResponse; import com.cohere.api.types.EmbedInputType; import com.cohere.api.types.EmbeddingType; import java.io.IOException; import java.io.InputStream; import java.net.HttpURLConnection; import java.net.MalformedURLException; import java.net.URI; import java.net.URL; import java.util.Base64; import java.util.List; public class EmbedImagePost { public static void main(String[] args) { Cohere cohere = Cohere.builder().clientName("snippet").build(); try { URI uri = URI.create("https://cohere.com/favicon-32x32.png"); URL url = uri.toURL(); HttpURLConnection connection = (HttpURLConnection) url.openConnection(); connection.connect(); InputStream inputStream = connection.getInputStream(); byte[] buffer = inputStream.readAllBytes(); inputStream.close(); String imageBase64 = String.format( "data:%s;base64,%s", connection.getHeaderField("Content-Type"), Base64.getEncoder().encodeToString(buffer)); EmbedByTypeResponse response = cohere .v2() .embed( V2EmbedRequest.builder() .model("embed-v5.0-fast") .inputType(EmbedInputType.SEARCH_DOCUMENT) .images(List.of(imageBase64)) .embeddingTypes(List.of(EmbeddingType.FLOAT)) .build()); System.out.println(response); } catch (MalformedURLException e) { System.err.println("Invalid URL: " + e.getMessage()); } catch (IOException e) { System.err.println("I/O error: " + e.getMessage()); } } } ``` ```ruby Images require 'uri' require 'net/http' url = URI("https://api.cohere.com/v2/embed") http = Net::HTTP.new(url.host, url.port) http.use_ssl = true request = Net::HTTP::Post.new(url) request["Authorization"] = 'Bearer ' request["Content-Type"] = 'application/json' request.body = "{\n \"model\": \"embed-v5.0-fast\",\n \"input_type\": \"search_document\",\n \"images\": [\n \"data:image/jpeg;base64,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\"\n ],\n \"embedding_types\": [\n \"float\"\n ]\n}" response = http.request(request) puts response.read_body ``` ```php Images request('POST', 'https://api.cohere.com/v2/embed', [ 'body' => '{ "model": "embed-v5.0-fast", "input_type": "search_document", "images": [ "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD//gAfQ29tcHJlc3NlZCBieSBqcGVnLXJlY29tcHJlc3P/2wCEAAQEBAQEBAQEBAQGBgUGBggHBwcHCAwJCQkJCQwTDA4MDA4MExEUEA8QFBEeFxUVFx4iHRsdIiolJSo0MjRERFwBBAQEBAQEBAQEBAYGBQYGCAcHBwcIDAkJCQkJDBMMDgwMDgwTERQQDxAUER4XFRUXHiIdGx0iKiUlKjQyNEREXP/CABEIAZABkAMBIgACEQEDEQH/xAAdAAEAAQQDAQAAAAAAAAAAAAAABwEFBggCAwQJ/9oACAEBAAAAAN/gAAAAAAAAAAAAAAAAAAAAAAAAAAHTg9j6agAAp23/ADjsAAAPFrlAUYeagAAArdZ12uzcAAKax6jWUAAAAO/bna+oAC1aBxAAAAAAbM7rVABYvnRgYAAAAAbwbIABw+cMYAAAAAAvH1CuwA091RAAAAAAbpbPAGJfMXzAAAAAAJk+hdQGlmsQAAAAABk31JqBx+V1iAAAAAALp9W6gRp826AAAAAAGS/UqoGuGjwAAAAAAl76I1A1K1EAAAAAAG5G1ADUHU0AAAAAAu/1Cu4DVbTgAAAAAA3n2JAIG0IAAAAAArt3toAMV+XfEAAAAAL1uzPlQBT5qR2AAAAAenZDbm/AAa06SgAAAAerYra/LQADp+YmIAAAAC77J7Q5KAACIPnjwAAAAzbZzY24gAAGq+m4AAA7Zo2cmaoAAANWdOOAAAMl2N2TysAAAApEOj2HgAOyYtl5w5jw4zZPJyuGQ5H2AAAdes+suDUAVyfYbZTLajG8HxjgD153n3IAABH8QxxiVo4XPKpGlyTKjowvCbUAF4mD3AAACgqCzYPiPQAA900XAACmN4favRk+a9wB0xdiNAAAvU1cgAxeDcUoPdL0s1B44atQAACSs8AEewD0gM72I5jjDFiAAAPfO1QGL6z9IAlGdRgkaAAABMmRANZsSADls7k6kFW8AAAJIz4DHtW6AAk+d1jhUAAAGdyWBFcGgAX/AGnYZFgAAAM4k4CF4hAA9u3FcKi4AAAEiSEBCsRgAe3biuGxWAAACXsoAiKFgALttgs0J0AAAHpnvkBhOt4AGebE1pBtsAAAGeySA4an2wAGwEjGFxaAAAe+c+wAjKBgAyfZ3kUh3HAAAO6Yb+AKQLGgBctmb2HXDNjAAD1yzkQAENRF1gyvYG9AcI2wjgAByyuSveAAWWMcQtnoyOQs8qAPFhVh8HADt999y65gAAKKgAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAf/8QAGgEBAAMBAQEAAAAAAAAAAAAAAAEFBgIEA//aAAgBAhAAAAAAAAAAAAABEAAJkBEAAB0CIAABMhyAAA6EQAAA6EQAABMiIAAAmREAAAmQiAABMgOQAEyAHIATIACIBMu7H3fT419eACEnps7DoPFQch889Wd3V2TeWIBV0o+eF8I0OrXVoAIyvBm8uDe2Wp6ADO+Mw9WDV6rSgAzvjMNWA1Op1AARlvmZbOA3NnpfSAK6iHnwfnFttZ9Wh7AeXPcB5cxWd3Wk7Pvb+uR8q+rgAAAAAAAAP//EABsBAQABBQEAAAAAAAAAAAAAAAAEAQIDBQYH/9oACAEDEAAAAAAAAAC20AL6gCNDxAArnn3gpro4AAv2l4QIgAAJWwGLVAAAX7cQYYAAFdyNZgAAAy7UazAAABsZI18UAAE6YEfWgACRNygavCACsmZkALNZjAMkqVcAC2FFoKyJWe+fMyYoMAAUw2L8t0jYzqhE0dAzd70eHj+PK7mcAa7UDN7VvBwXmDb7EAU5uw9C9KCnh2n6WoAaKIey9ODy/jN+ADRRD2fpQeY8P0QAU5zGel+gg8V53oc4AgaYTfcJ45Tx5I31wCPobQ2PpPRYuP8APMZm2kqoxQddQAAAAAAAAP/EAFMQAAEDAgIDCQkMBwUIAwAAAAECAwQFEQAGBzFREhMhMEBBYXGBCBQYIjJCRlDSFSBSVGJygpGTobHREDRDc6LBwiMzU3CyFiQlNVVkdISSlLP/2gAIAQEAAT8A/wAo74nVaBAb32bNYitfDfcS2PrURiZpU0dwVFMjN1OVY8O8u7//APkFYc076LmfSVSvmQpB/ox4QGjH/r7v/wBGR7OPCA0YH0ge7IMj2ceEBowPpA92QZHs48IDRgfSB7sgyPZx4QGjA+kD3ZBkezjwgNGB9IHuyDI9nHhAaMD6QPdkGR7OPCA0YH0ge7IMj2ceEBowPpA92QZHs48IDRgfSB7sgyPZx4QGjA+kD3ZBkezjwgNGB9IHuyDI9nHhAaMD6QPdkGR7OPCA0YH0ge7IMj2ceEBowPpA92QZHs48IDRgfSB7sgyPZx4QGjA+kD3ZBkezjwgNGB9IHuyDI9nHhAaMD6QPdkGR7OPCA0Y89fd7IMj2cN6e9GDpCTmRaOuFI9nEDSlo9qakpj5upoJNgH3d4+50JxGlxpbSH4r7bzSvJW0sLSeop5NWsw0fL8RU2rVGPDjJ4C6+4EAnYnaegYzV3StDhFcfK1LdqDuoSZBLDHWlPlqxXtNmkOulaVVxcFg3/sYA73A+kLrxKnTJrpfmSXX3jrcdWVqPWVYudvJ7nbil16s0R7vikVSVDduCVR3lNk9e5IvjKfdG5rpKmo+Yo7NXi8ALlgxJH0kiysZL0l5Uzsz/AMFn2l7m7kJ8BuSj6PnAbU8ieeZitOPPuoQ22krWtZCUpSkXJJOoDGkHui4MBT1MyW2ibITdJnuA97o/dJ1uHFczFXMyzV1Gu1N+bJV57yr7kbEjUkdA5dGlSYb7UqJIcZfaUFtuNLKFoUNRSocIONF3dBb6tih58eSCQEM1PUOqT7eELS4lK0KCkkAgg3BB4/M2Z6NlKlSKtWJiI8VoWueFS1nUhA85ZxpJ0v13Pj7kNorg0NC7tw0K4XNi3yPKPRqHqLQnpkeoD8XKmZZJVSHCG4klw/qijqQs/wCF/pwDfjc1ZqpOUKNLrVXf3qMyLJSLFbrh8ltA51qxn7P9az9V1z6istxWypMSIhRLbCD+Kj5yvUYJHCMdz7pLXWoByfWJBXUILV4bizwvRk+Z0qa4yoTodKgyZ859DEWO0t11xZslCEC5UrGlHSNOz/XVvBa26RFKkQY+xHO4v5a/UtArU3LlZptbpzm4lQ30ut7DbWk9ChwHGXq5EzHQ6ZWoCv8AdpsdDyRrIKtaFdKTwHi+6I0hrffGRKU/ZloodqSkngW5rQz1I1n1P3M2ZzJpFYyvIXdUJ0SowP8AhP8AAtI6AvitIWbWclZVqlbWElxpvcRmz+0kOcDaf5nEyXJnypM2Y8p2Q+6t11xRupa1m6lHpJ9T6B6uaVpHo7alEMz0PQnepxN0/wASRgauJ7pTNZmVynZTjuXZpzYkSRtkPDgB6UI9UZMlrgZsy1MQqxZqkRy/QHRfA4iZIaiRX5D6ghpptTi1bEIFycZmrL2YcwVitvk7ubLdfsfNClcCewcHqiiX91qbbX3yz/rGBxGmKse4ujnMz6F2dfjiGj/2VBs/ccE3J9UZOirm5ry3EQm5eqkRu3Qp0YHEd01PLGUqPT0mxk1QLV0oZaPteqdBtKNV0kUIkXah77Md6mkcH8RGBq4jupH7JyXG/wDPcP1tj1T3MuWVMQK5mt9FjJWmDGO1tHjuHqJ4nupEnvrJa+beZ4/jR6ooNGnZhrFOotNa3yXMeS02OvWo9CRwk4ytQIeWKDS6HC/V4TCWgq1itWtSz0rPCeJ7qKNenZSl2/upEtonpcShXqcC+NA+jFeW4H+1NbYKatOaswysWMaOrbscc4rujaYZuj/vzccMCpR3yehwFn+r1MAVGwGNDOhVbK4ubc4xLLFnYMB1PCNjrw/BHF58opzDk7MlHSndOSID28ja6gbtH3jChZRHqShZerOZag1S6JT3pcpzUhsahtUTwJTtJxow0G0vKRYreYS1PrIAUhNrx4yvkA+WsfCONXFnGlTLZytnqvU5KLRlvmTG2Fl/xwB0J1eookOXPkNRYUZ1991W5baaQVrWdiUi5JxkbudKzVCzOzg+abE196NWXKWOnWlvGW8p0DKMEU6g01qKzwFe5F1uEDynFnhUeO7pTJ5n0aBmyK3d+mneJVtZjOnxVfQX6ghwZtRktQ4EV6RJcNkNMoK1qOwJTcnGTe5yr9V3qXmuSKXFNj3uizkpY/0oxlbIOVslRt6oVKaZdIst9XjyHPnOK4ezkFVgw6vAmU2ewHYsllbDiFaloWNyoYz1lKZknMtRoEu6gyvdMO8zrC/IXy2j0Cs5glpg0WmyJkk+YwgrIG1WwdJxk7uap75amZyqQit6zChkLe6lueSnGWcl5ayjGEegUliKCAFuAbp5z57irqPI9NOjVOdqB31T2x7tU5KlxNryNa2CenWnDra2XFtOoUhaFFKkqFiCOAgg8qyro7zdnJwCh0Z5xi9lSVje46etarA22DGUe5spEPe5ebqgue78Ui3aj9Sl+WvFIodHoMREGj02PDjJ1NMNhAJ2m2s8m07aIHJi5WdMsxSZFiuoxG08LoGt9sDz/hjGrkzLD0hxDLDSluLISlKQSpRPMAMZU0C54zFvcidHTR4Sv2k24dI+SyPG+u2MqaBskZc3qRLimrzEftZoBaB+S0PFw0y2y2hppCUIQAEpSAAAOYAauU6XtBJmuycy5LjASVXcl05sWDu1bGxe1GHWnGXFtOoUhxCilSVAghSTYgg6iOR5eyfmXNT/AHvQKNJmKBspTaLNo+es2SntOMq9zNIc3uTm+sBoazEgWWvtdWLDGWchZTyk2E0KiR4zlrKkEbt9XW4u6uW6SNDNAzwHZ7BTTq3YkSm0XS7sS+ka/na8ZuyJmbJMwxK9T1NJJs1IR47D3S2vj2mXXlobabUtaiAlKRcknUAMZV0F56zJvT8iEKVCVY77PuhZHyWvLxlTuesl0Te3qqlysy08JMnxI4PQ0n+onEWDFhMNxokdphhsWQ20gIQkbEpFgPeyqnBg/rMhCCBfc3ur6hw4lZ1hNbpMdlbpGokhKT+OHs7zVf3EdpHzgVfzGDnGqnnbHUkYGcqqOZo/OT+VsMZ5eBG/w0K2lJKPaxDzfTJBCXFLZUTbxk3+q2GJTEhAcYdQtB1KSoEckqdLp1ThvQqnEZkxXU7lbLyAtCusKxnPubKVNU9NyhOMB03Pekm7kfsXwqRjM+jfOWUVLNZochEcapLY31gj56LgduLHZxNjjL+TM0ZpcDdCokuWL2LiEWaSflOKskYyt3M8t0tSM31hLCNZiwbLc7XVCwxljR9lHKDaRQ6Kww6BZUlQ32Qr6a7nAAHvFLSkEqUAAMT81UyGClDm/r2N6u1WKhm2oywpDKt4bPMjX/8ALC3HHCVLWSSbm+338adLhuB2O+tChzg4pOdOFDVRRbm31A/EflhiQ1IbS6y4laFaik3HJCkKBBAII4RjMOibIOYCtc/LkZD6tb0W8Zy+0luwVisdzDRX925RMyS4uxMtlD46gUFGKj3NWdY11wajSpbf71bS/qUnErQTpPjXIy2Xk7WZLCv68L0R6R2/KylO+ikK/A4Tom0jL1ZRqHa3bEXQjpPlkBGVXkDa48yj8V4p/c358lEGW/TIaOcOSCtfYG0qxSO5gp6AldczQ+9tbhsBr+NwqxRNDWjygFDjGXmpL4N99nEyVH6K/FGGmGY7SGm20oQgAJSkAJAHMAPeyJ8WEjfJD6EX1XP4DWTioZ1ZRdEBndnmWvgT2DE6tVCoE98SFFPMgGyR2DBN+E8XSq3MpToUyu7ZIK0HUcUmsRapGK46wlfBuknWnk5AOsY3I2YsNmLAagPf1HMFNp+6S68FOD9mjhV+QxUM5THrohJDKNutWHpL8halvOqWo6yokk8fT58inSESI6ylST2EbDtGKRU49VitvtkJI8tOsg7OOJA1nFSzhQKaVIkT21OA23DV3Fdu51Yk6VICCREpzznS4pKPw3WDpXk34KOgD9+fZwxpWB4JNIIG1D1/xTinaSMvylJDy3YyjwDfUXH1pviFPhTGw/FkNuoOpbagofdxU2fHhMqekOBDadus4q+bJcwqahkssfxnrOFKKjckk8iodWcpUxDySS2rgcTfWMMPtvstvNKCkLSFJI5weMzFm6mZfQUvL32UQCiOg+N1q2DFbzlWa2paXHyzGOplolKbfKOtWLnb72FUp9NeD8GU4y4OdBtfr2jGW9JTbqm4tdQlCr2D6fIPzxzYadbdQhxpYUlQBBBuCD7+pVKPTIq5D6uAcCUjWpWwYqtWlVV9Tr6yE6kIHkpHJcl1cqS5TXjfc+O3f7xxedc6IoqTAgEKnqHCdYZB5ztVsGH5D0p5x+Q6px1ZKlKUbknico5zk0J5EWWtTtPWeFOstdKejaMR5TMxhuQw4lbTiQpKkm4UD7151thtbriwlCElSidQAxXaw7VZalXsyglLadg/M8mpstcKbHko1oWDbb0duGXEOtIcQbpUkKB2g8Tm3MSMv0xbySDJduhhB+FtPQMSJD0p5yRIcK3XFFSlK1kni9HealU+UijzFjvZ5X9iVHyHDzdSve5yqqm2kU5pViuynCNnMOUZVld80lgKsVNEtns4QPqPEKNgTjOdbVWq0+tC7xmCWmRzWTrV2njEqUhQUkkEG4Ixk6ue7dFjPuuXeau08Plp5+0cP6VrS22pSiAACSdgGKpMXPnSJK/PWSBsHMOzlGRX/EmsW8koWOs3B4jONTNNoNQkIUUr3ve27awpzxb4PCTxujGpKYqkinKV4klvdJ+e3+nMkjvakS1DWtIb7FcB+7BNyTyjI67S5CDzsqP1EcRpUkqRTqfFBtvr6l9iE2/nx2V5XeeYKS9/3CEdizuD+OEm4/RnVak0+OhJtd256gm38+U5JTeY+rYyofeniNKyjv8AR0c24f8AxTx1NJTUYKhrD7Z/iGEeSP0Z63Pe8Xc6hur9dxynI7JtNeOqyAO0m/EaVv1mj/Mf/FPHU7/mEL98j8cI8gfozq2pdOZWnmdseopJ5TlKIWKShZFi8tSz2eL/AC4jSsx/Y0qR8FbqD9IA8dQmFSK1S2UjypTQ7N0L4SLJ/RmOOJVIloSk+Ijdjb4nCcEWJB5PDjrlSWWGxdS1hI7TiHHRGjsso8htCUDqSLcRpDppl5ckLABXHUl8DYBwH7jx2juAZeYmXyk7iM2t07L23I/HA/QtIWkpULggjFXgqp8+RHINkrO5O0axyfJlLK3l1F1Pit3S3cecRr7BxMqM3IjusOpCkOoKVjakixGKzTXaTU5cB4HdNOEAnzk6we0cbo3o5g0hU91FnZhCh+7T5PvM6UjfWkTmE3W0LObSnmPZyanQHqjKajMjhUeE2uANpxAhNQYzTDabNtpsOk85PXxWkjLJmRk1mGjdPR0WdA85rb9HjMqUByv1Rtgg97N2W+vYjZ1qww02y2htCQlCEhKUjUAPeLQlxCkLAUlQsQdRBxmKiOUqWopSox1m6FHht0HkjDDsl1DLKCpajYAYoFFRSYw3dlSF8K1bPkji1JCgUkXBxnjJTlJecqVOZvCWbrQn9kT/AEniqVSplYmNQoTRW4s9iRzqUeYDGXaBFoFPbiMC6/KdctYrVt/Ie+qECNMjKjyE7oLHaOkYrVEkUl8hQKmVE7hY1HkUOFInPoYjtla1bMUDLzNKb3xyy5KvKXzDoTxrjaHEKQ4gKSoWIIuCDzYzTo5WlTk2ggEG6lxr6vmH+WHmXWHFtPNqQ4k2UlQIIOwg+/y/lCq19xKm2yzFv4z7g8X6I844oOXoFBiiPDb4TYuOny1kbTxEmOxKaVHebS4hXlA4rWTpEdSnqfdxu5JR5w6tuFtONKKXEFJBsQeOShSzZIvilZTnTShySCwyfhDxj1DFPpcSmtBuM0B8JR4VK6zyCr5apFaQROiJWsCwdT4qx1KGKloseG7XSp4UnmQ+LfxJxJyLmaMoj3OU4n4TakqwrLVfSbGjy/sV4ZyhmN/yKRI+kncf6rYhaM64+QZa2YyOk7tQ7E4o+jyiU0h2SgzHhzu+R2I/PCEIbASgAJAsAOLqFFp84HvphKlkCyhwK4OnZiXkcElUKV9Fz2hh/KdZataPuwfOSoEYXQqog2MJ49Taj/LHuNVPiEj7Jf5Y9xqp8QkfZL/LHuNVPiEj7Jf5Y9xqp8QkfZL/ACx7jVT4hI+yX+WPcaqfEJH2S/yx7jVT4hI+yX+WEUCquaoTw+chQ/EYYyjWHQSpgN9K1C33XOIuR0+VMlfRbH8ziFRKdTwksRkhY89XjK+/VyWwxYf5ef/EADgRAAIBAgMDCQUHBQAAAAAAAAECAwQRAAUgMUFhEhMhIjBAUXGREDJQU6EGFDNCYoGSUnKiwdH/2gAIAQIBAT8A+L37e/wE9zHfj3k90Gk90Gk9ztqPcbd3t3e3b2129qRySGyIScRZY56ZXtwGFoKZfyX8zj7rT/JX0w+X0zbFKngcTZdLHdozyx9cbOg9pbFtENJPNYqlh4nEOWxJYykufQYVFQWRQBw1VVGk4LKAJPHxwysjFWFiNUsscKGSVwqjecVOfgErSxX/AFNhs5r2P4oHkoxHndchHKZXHFf+YpM7gnISYc0/+J0KpYhVFycUtCkQDygM/huHZZjThl59R1l97iNMsqQxvLIbKoucV1dLWykkkRg9VdOUZmyOtLO10PQhO4+Hty6mCrz7jpPu+XZsoZSp2EEYkQxyOh/KSNGf1JAipVO3rNq2EHGW1P3mkikJ6w6reYxGpd0QbyBhVCqFGwC3aV4tUycbHRnLFq+UeAUfTX9nmJhqE3BwfUYoxeqi8+1ryDVPwA0ZwCMwm4hT9Nf2eB5qobcWUfTFM3Inib9Q7QkAEnYMSvzkrv4knRn8BEkVQB0Ecg+Y15RTmCij5Qsz9c/v7KWYTQo28dDefZ5hUBI+aU9Z9vAaamnSqheF9jD0OKmmlpZWilFiNh3Eacqy9quUSSLaFDc8T4YAt7KWpNPJfap94YR1kUOhuD2NTVJTr4vuGHdpHZ3NydVVSQVaciZfIjaMVOR1URJhtKvocNSVSmzU8gP9pxHQVkhASnf9xbFJkJuHq2Fv6F/2cIiRoqIoVQLADRBUSwG6Ho3g7DiLMYX6Huh9RgTwtslT1GOdi+YnqMc7F8xP5DHOxfMT+Qxz0XzE9Rh6ymTbKD5dOJsyY3WFbcThmZiWYkk7z8W//8QAOREAAgECAgYHBwMDBQAAAAAAAQIDAAQFERITICExkQYwQVFSYXEQFCJAQlOBMlChI4KSYnJzsbL/2gAIAQMBAT8A/YCyjiwFa2PxjnWtj8Y51rY/GOda2PxjnWtj8Y51rY/GOda2PxjnWtj8Y51rY/GOda2PxjnWtj8YoMp4EHq5LlV3LvNPNI/FuXW5kcDUdw6cd4pJFkGanbJABJqacvmq7l+RR2Rgy0jiRQw2rmXM6CncOPydq+T6B4HZmfQjJ7eA+UQ6LqfMbN229V/Pyg4j1GzcnOVvlIV0pFH52bgZSt8pbRaC6TcTs3YycHvHyQBJAFQ2+WTyfgbVymlHmOI+Rjt3fe3wio4kj4Df39RNGY38jw60AscgMzSWrHe5yFJEkfBd/f1UiLIpU1JG0ZyPVJE7/pWktRxc/gUqKgyVQOtZVcZMMxUlqw3pvHdRBU5EEbIBO4CktpG3t8IpLeNOzM+fsSN5DkikmosPY75Wy8hS2duv0Z+te7wfaXlT2Nu3BSvoalsJE3xnTH81vG49UVVtzAGjbRH6cq90TxGvdE8RoW0Q7M6Cqu5VA9kVrNLvC5DvNRWEa75CWPIUqqgyVQB5bVzarMCy7n7++mUoxVhkRtW9tPdypBbRNJI3BVFYf0FdlWTErnQP24uP5JqLojgUYyNqznvZ2q46GYLKDq0khPejk/8ArOsU6HX1irTWre8xDeQBk4/FHduPtALEKozJq3skjAaQaT/wOqv4NJdco3jj6bNtby3c8VtAulJIwVRWCYJb4PbKqqGnYDWSdpPcPLZ6V9HEmikxOxjAlQaUqL9Q7x5+2xgCrrmG8/p9OrIDAg8CKkTQd07iRsdBcPV3ucSkX9H9KP1O8naIBBBG410gsBh2K3MCDKNjrE/2tSLpuqDtIFKAqhRwA6y9GVw/mAdjohEEwK2I4u0jH/Lb6exgXljL2tEwP9pq0GdzF69bfHO4fyAGx0ScPgVpl9JkB/yO309cG6w9O0ROeZq3bQnib/UOsJyBJqV9ZI7952Ogl8DDdYezfEra1B5HcdvpTfC+xicoc44QIl/t4/z7LaUTRK3bwPr1d9PoJqlPxN/A2cOvpsNvIbyA/Eh3jvHaDWHYjbYnapdWzgg/qHap7js9JseTDLZreBwbuVSAB9AP1GiSSSeJ9ltcGB8/pPEUjq6hlOYPU3FykC97dgp3aRi7HMnaw3FbzCptdaSZeJDvVh5isO6aYdcqq3gNvJ25705ikxXDJAGS/gI/5FqfHMIt10pb+H0DBjyGdYr03XRaLCojnw1sg/6FTTSzyPNNIXkc5szHMnYhuJIDmh3doPCo7+F9z5oaE0R4SrzrWR/cXnWsj+4vOtZH9xeYrWx/cXmKe6gTjID6b6lxAnMQrl5mmYsSzEkn92//2Q==" ], "embedding_types": [ "float" ] }', 'headers' => [ 'Authorization' => 'Bearer ', 'Content-Type' => 'application/json', ], ]); echo $response->getBody(); ``` ```csharp Images using RestSharp; var client = new RestClient("https://api.cohere.com/v2/embed"); var request = new RestRequest(Method.POST); request.AddHeader("Authorization", "Bearer "); request.AddHeader("Content-Type", "application/json"); request.AddParameter("application/json", "{\n \"model\": \"embed-v5.0-fast\",\n \"input_type\": \"search_document\",\n \"images\": [\n \"data:image/jpeg;base64,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\"\n ],\n \"embedding_types\": [\n \"float\"\n ]\n}", ParameterType.RequestBody); IRestResponse response = client.Execute(request); ``` ```swift Images import Foundation let headers = [ "Authorization": "Bearer ", "Content-Type": "application/json" ] let parameters = [ "model": "embed-v5.0-fast", "input_type": "search_document", "images": ["data:image/jpeg;base64,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"], "embedding_types": ["float"] ] as [String : Any] let postData = JSONSerialization.data(withJSONObject: parameters, options: []) let request = NSMutableURLRequest(url: NSURL(string: "https://api.cohere.com/v2/embed")! as URL, cachePolicy: .useProtocolCachePolicy, timeoutInterval: 10.0) request.httpMethod = "POST" request.allHTTPHeaderFields = headers request.httpBody = postData as Data let session = URLSession.shared let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in if (error != nil) { print(error as Any) } else { let httpResponse = response as? HTTPURLResponse print(httpResponse) } }) dataTask.resume() ```