{"info":{"_postman_id":"8f2cdeea-9c46-420d-be13-a13f886c24ce","name":"BitFractal API","description":"<html><head></head><body><p>Please read carefully this entire section before using the BitFractal API.</p>\n<h2 id=\"getting-started-guide\"><strong>Getting started guide</strong></h2>\n<p>To start using the BitFractal API, you need to:</p>\n<ul>\n<li><p>You must use a valid API Key and Customer ID to send requests to the API endpoints.</p>\n</li>\n<li><p>The API has rate and usage limits.</p>\n</li>\n<li><p>The API only responds to HTTPS-secured communications. Any requests sent via HTTP return an HTTP 301 redirect to the corresponding HTTPS resources.</p>\n</li>\n<li><p>The API supports GET and POST requests. We recommend using POST requests for all functions.</p>\n</li>\n<li><p>The API returns request responses in plain text, JSON format, or application/octet-stream (for audio files), when applicable. When an API request returns an error, it is sent in the form of a HTTP error code and a response text.</p>\n</li>\n</ul>\n<h2 id=\"authentication\">Authentication</h2>\n<p>The BitFractal API uses an API Key for authentication.</p>\n<p>You must include an API key in each request to the BitFracal API with the <code>code</code> request header.</p>\n<p>It's also required to provide your unique customer id, using the <code>custid</code> parameter on every request.</p>\n<p>Both pieces of information were made available to your organization upon subscribing. If you have any difficulties finding this information or need any assistance, please reach out to <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.</p>\n<p>Although the same pair of customer id and API key can be used across all APIs, each API can have different subscription plans. Make sure you have properly subscribed to the APIs you need prior to using them.</p>\n<h3 id=\"authentication-error-response\">Authentication error response</h3>\n<p>If an API key or customer id are missing, malformed, or invalid, you will receive an HTTP <code>401</code> Unauthorized response code or an error <code>400</code>.</p>\n<h2 id=\"regions-and-endpoints\">Regions and Endpoints</h2>\n<p>The BitFractal API is currently available in 3 regions: East US, UK South, and Brazil South, and that can be accessed as below:</p>\n<p><strong>US East:</strong> <code>https://api.eastus.bitfractal.com/api/</code></p>\n<p><strong>UK South:</strong> <code>https://api.uksouth.bitfractal.com/api/</code></p>\n<p><strong>Brazil South:</strong> <code>https://api.brazilsouth.bitfractal.com/api/</code></p>\n<p>Other regions can be added upon request. Please reach out to <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a> for that.</p>\n<p>The BitFractal AutoQM Analytics API for enterprise customers is accessible via a dedicated url and SaaS infrastructure. The url format will be as follow: <code>https://{{yourcompanyalias}}.autoqmanalytics.bitfractal.com/api/</code></p>\n<h2 id=\"rate-and-usage-limits\">Rate and usage limits</h2>\n<p>API access rate limits apply at a per-API key basis in unit time. The limit is 600 requests per minute and 100 concurrent requests, with a maximum request execution time of 230 seconds. Also, depending on your plan, you may have usage limits. If you exceed either limit, your request will return an HTTP 429 Too Many Requests status code.</p>\n<p>It's recommended to implement a retry policy on the client side.</p>\n<h3 id=\"cold-start-behavior\">Cold Start Behavior</h3>\n<p>The BitFractal API operates with auto-scale, allocating more or less resources as needed. These type of apps may scale to zero when idle, meaning some requests may have additional latency at startup. Our solution does have some optimizations to help decrease cold start time, including pulling from pre-warmed placeholder functions that already have the function host and language processes running.</p>\n<h3 id=\"400-response\">400 response</h3>\n<p>An HTTP <code>400</code> response from our servers indicates there is an unexpected error processing your request. Usually these errors indicate malformed parameters sent to the API. If the error persists, make note of date, time, and error message and contact <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.</p>\n<h3 id=\"503-response\">503 response</h3>\n<p>An HTTP <code>503</code> response from our servers indicates there is an unexpected spike in API access traffic. The server is usually operational within the next five minutes. If the outage persists or you receive any other form of an HTTP <code>5XX</code> error, contact <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.</p>\n<p>The BitFractal API is currently available in 2 regions: Brazil South, and East US. The calling application must be able to handle these errors and can choose to switch to a secondary region to retry the request. Other forms of error handling can include throttleling and wait and retry. If necessary, contact <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.</p>\n<h3 id=\"supported-languages\">Supported Languages</h3>\n<p>BitFractal has an extensive list of supported languages and this list is frequently update as we expand our global languages support. Please refer to <a href=\"https://www.bitfractal.com/post/bitfractal-tts-languages\">this page</a> for an updated list.</p>\n<h3 id=\"available-voices\">Available Voices</h3>\n<p>BitFractal has an extensive list of supported voices and this list is frequently update as we expand our global languages support. Please refer to <a href=\"https://www.bitfractal.com/post/bitfractal-tts-languages\">this page</a> for an updated list.</p>\n<h3 id=\"supported-input-audio-formats\">Supported Input Audio Formats</h3>\n<p>The input audio sent to the service for transcription can be of any of the following formats: <code>wav, opus, ogg, webm, or mp3</code>. Setting the <code>autodect</code> parameter to <code>1</code> will allow the service to automatically identify the audio bitrate, channels, and sample rate. Otherwise that must be provided on the API call.</p>\n<h3 id=\"supported-output-audio-formats\">Supported Output Audio Formats</h3>\n<p>The <code>output</code> parameter of the TTS API, defines the audio output format and frequency. The default format is 16Khz MP3 (<code>\"output\": \"16-mp3\"</code>). These other formats are also supported:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th><strong>Output Format</strong></th>\n<th><strong>Output Code</strong></th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>16Khz - MP3</td>\n<td>16-mp3</td>\n</tr>\n<tr>\n<td>24Khz - MP3</td>\n<td>24-mp3</td>\n</tr>\n<tr>\n<td>48Khz - MP3</td>\n<td>48-mp3</td>\n</tr>\n<tr>\n<td>8Khz - WAV</td>\n<td>8-wav</td>\n</tr>\n<tr>\n<td>16Khz - WAV</td>\n<td>16-wav</td>\n</tr>\n<tr>\n<td>24Khz - WAV</td>\n<td>24-wav</td>\n</tr>\n<tr>\n<td>48Khz - WAV</td>\n<td>48-wav</td>\n</tr>\n<tr>\n<td>16Khz - OGG</td>\n<td>16-ogg</td>\n</tr>\n<tr>\n<td>24Khz - OGG</td>\n<td>24-ogg</td>\n</tr>\n<tr>\n<td>48Khz - OGG</td>\n<td>48-ogg</td>\n</tr>\n</tbody>\n</table>\n</div><p><strong>Note:</strong> Different formats will yeld different audio quality and audio file size, impacting in processing time for the audio generation. Make sure you balance quality versus performance while building your application.</p>\n<h3 id=\"downloading-returned-audio-file\">Downloading Returned Audio File</h3>\n<p>The audio file generated by the BitFractal TTS API will be returned to the caller either in a application/octet-stream web response using the audio file format defined in the web request. If necessary by your application, the data stream should be serialized to a local file, or as a direct link to access the audio file from a temporary blob location. The file will persist in the temporary blob location for 15 mins. The parameter <code>returnaudio</code> will set the response type, being the default 0, to return a link to the file or 1 to return the audio data in the reponse body.</p>\n<h3 id=\"advanced-mode-with-ssml\">Advanced Mode with SSML</h3>\n<p>An HTTP <code>503</code> response from our servers indicates there is an unexpected spike in API access traffic. The server is usually operational within the next five minutes. If the outage persists or you receive any other form of an HTTP <code>5XX</code> error, contact <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.</p>\n<h3 id=\"open-ai-models-used-by-the-conversational-ai-api\">Open AI models used by the Conversational AI API</h3>\n<p>Currently, the Conversational AI API is set to work with the GPT4o-mini model. GPT-4 or other models can be used upon request and can represent a different cost. If necessary, please contact <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.</p>\n<p>Due to currentl availabilty these models are currently deployed as below:</p>\n<p><strong>US East:</strong> Deployed to the US datacenter.</p>\n<p><strong>UK South:</strong> Deployed to the UK datacenter.</p>\n<p><strong>Brazil South:</strong> Deployed to the Brazil South datacenter.</p>\n<h3 id=\"need-some-help\"><strong>Need some help?</strong></h3>\n<p>In case you have questions, go through our tutorials and readiness resources available at our website: <a href=\"https://www.bitfractal.com/\">https://www.bitfractal.com/</a> or contact <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.</p>\n</body></html>","schema":"https://schema.getpostman.com/json/collection/v2.0.0/collection.json","toc":[],"owner":"2466848","collectionId":"8f2cdeea-9c46-420d-be13-a13f886c24ce","publishedId":"2sA2rGvKmZ","public":true,"customColor":{"top-bar":"FFFFFF","right-sidebar":"303030","highlight":"FD6262"},"publishDate":"2024-03-02T18:43:12.000Z"},"item":[{"name":"TTS - Text-to-Speech API","item":[{"name":"SynthesizeTTSAudioFile with Text - US","id":"a5e64ad2-332e-4ab1-a21e-78990d9ce9ea","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"code"},{"key":"value","value":"{{authorization_token_us}}"}]},"isInherited":false},"method":"POST","header":[],"body":{"mode":"raw","raw":"{\r\n    \"text\": \"Welcome to BitFractal, your hub for AI applications! \",\r\n    \"lang\": \"us-En\",\r\n    \"voice\": \"en-US-JennyNeural \",\r\n    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TTS API surfaces in a simplified way methods to generate audio clips from simple text or via advanced configuration via SSML, when needed.</p>\n<p>This API exposes a sinlge method: <code>SynthesizeTTSAudioFile</code> that can be configured to be used with simple text or SSML, defined by the following parameters:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Details</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>text</code></td>\n<td>Required if <code>mode = 0</code>. Defines the text to be converted to audio.</td>\n</tr>\n<tr>\n<td><code>lang</code></td>\n<td>Optional - Default <code>en-US</code> for the useast endpoint, <code>en-GB</code> for the uksouth endpoint, and <code>pt-BR</code> for the brazilsouth endpoint - Defines the text and audio language. See <a href=\"https://www.bitfractal.com/post/bitfractal-tts-languages\">supported languages</a> for reference.</td>\n</tr>\n<tr>\n<td><code>voice</code></td>\n<td>Optional - Default <code>en-US-JennyNeural</code> for the useast endpoint, <code>en-GB-SoniaNeural</code> for the uksouth endpoint, and <code>pt-BR-GiovannaNeural</code> for the brazilsouth endpoint - Defines the voice to be used to generate the audio file. See <a href=\"https://www.bitfractal.com/post/bitfractal-tts-languages\">supported voices</a> for reference.</td>\n</tr>\n<tr>\n<td><code>mode</code></td>\n<td><code>0</code> for plain text; <code>1</code> for SSML</td>\n</tr>\n<tr>\n<td><code>output</code></td>\n<td>Optional - Default <code>16-mp3</code> - Defines the audio file output frequency and format. See available formats earlier in this documentation.</td>\n</tr>\n<tr>\n<td><code>ssml</code></td>\n<td>Required if <code>mode = 1</code> . Defines the text to be converted to audio in an advanced format using SSML. Make sure to format the SSML using only single quotes <code>'</code> for it has to be added to the JSON document between double quotes <code>\"</code>. Refer to <a href=\"https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-synthesis-markup\">this document</a> to learn more about SSML tags and capabilities.</td>\n</tr>\n<tr>\n<td><code>custid</code></td>\n<td>Required - Your unique customer identifier.</td>\n</tr>\n<tr>\n<td><code>returnaudio</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - return a link to the audio file; <code>1</code> - return audio data in the response body.</td>\n</tr>\n</tbody>\n</table>\n</div><p>All parameters are defined as JSON and should be added to the body of the POST request, as exemplified below:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">{\n    \"text\": \"Welcome to BitFractal, your hub for AI applications!\",\n    \"lang\": \"us-En\",\n    \"voice\": \"en-US-JennyNeural \",\n    \"mode\": \"0\",\n    \"output\": \"16-mp3\",\n    \"ssml\": \"&lt;speak version=&amp;#x27;1.0&amp;#x27; xmlns=&amp;#x27;http://www.w3.org/2001/10/synthesis&amp;#x27; xml:lang=&amp;#x27;en-US&amp;#x27;&gt;&lt;voice name=&amp;#x27;en-US-JennyNeural&amp;#x27;&gt;Welcome to BitFractal, your hub for AI applications!&lt;/voice&gt;&lt;/speak&gt;\",\n    \"custid\": \"{{uniquecustomerid}}\",\n    \"returnaudio\": \"0\"\n}\n\n</code></pre>\n","_postman_id":"0aa6bef5-3291-4f79-8300-8660adfcd44d"},{"name":"STT - Speech-to-Text API","item":[{"name":"TranscribeSTTAudioFile - US","id":"c5bc9cfc-ad16-4d63-aa53-380b47bdc944","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"code"},{"key":"value","value":"{{authorization_token_us}}"}]},"isInherited":false},"method":"POST","header":[],"body":{"mode":"formdata","formdata":[{"key":"file","type":"file","fileNotInWorkingDirectoryWarning":"This file isn't in your working directory. 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To make collaboration easier you can setup your working directory in Settings.","filesNotInWorkingDirectory":["/C:/Users/renol/OneDrive/Área de Trabalho/Prompt templates/OUTBOUNDSAMPLE_01.mp3"],"src":"/C:/Users/renol/OneDrive/Área de Trabalho/Prompt templates/OUTBOUNDSAMPLE_01.mp3"},{"key":"lang","value":"en-US","type":"text"},{"key":"autodetect","value":"1","type":"text"},{"key":"custid","value":"{{uniquecustomerid}}","type":"text"},{"key":"includevtt","value":"1","type":"text"},{"key":"profanityfilter","value":"1","type":"text"},{"key":"diarization","value":"1","type":"text"},{"key":"userealtime","value":"0","type":"text"},{"key":"stereoaudio","value":"0","type":"text"}]},"url":"https://api.eastus.bitfractal.com/api/TranscribeSTTAudioFile","urlObject":{"protocol":"https","path":["api","TranscribeSTTAudioFile"],"host":["api","eastus","bitfractal","com"],"query":[],"variable":[]}},"response":[{"id":"4d7e1004-9c5a-4ee6-9db3-eea2a48b2709","name":"TranscribeSTTAudioFile - US","originalRequest":{"method":"POST","header":[],"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/renol/OneDrive/Documentos/Sound Recordings/Sample Recording USEN.wav"],"src":"/C:/Users/renol/OneDrive/Documentos/Sound Recordings/Sample Recording USEN.wav"},{"key":"lang","value":"en-US","type":"text"},{"key":"autodetect","value":"1","type":"text"},{"key":"custid","value":"{{uniquecustomerid}}","type":"text"},{"key":"includevtt","value":"1","type":"text"},{"key":"profanityfilter","value":"1","type":"text"}]},"url":"https://api.eastus.bitfractal.com/api/TranscribeSTTAudioFile"},"status":"OK","code":200,"_postman_previewlanguage":"json","header":[{"key":"Content-Type","value":"application/json; charset=utf-8"},{"key":"Date","value":"Wed, 24 Apr 2024 15:34:53 GMT"},{"key":"Content-Encoding","value":"gzip"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Vary","value":"Accept-Encoding"},{"key":"Strict-Transport-Security","value":"max-age=864000"},{"key":"Request-Context","value":"appId=cid-v1:487225f8-9b97-44e1-b312-7e2955490f5d"},{"key":"X-Content-Type-Options","value":"nosniff"}],"cookie":[],"responseTime":null,"body":"{\n    \"transcription\": \"Welcome to Bit Fractal, your hub for AI applications.\",\n    \"vtt\": [\n        \"00:00:00.110 --> 00:00:03.390 : Welcome to Bit Fractal, your hub for AI applications.\"\n    ]\n}"}],"_postman_id":"c5bc9cfc-ad16-4d63-aa53-380b47bdc944"},{"name":"TranscribeSTTAudioFile - BR","id":"c87f9279-c7e9-4750-8daf-3d4c31b7bca0","protocolProfileBehavior":{"disableBodyPruning":true},"request":{"auth":{"type":"apikey","apikey":{"basicConfig":[{"key":"key","value":"code"},{"key":"value","value":"{{authorization_token_br}}"}]},"isInherited":false},"method":"POST","header":[],"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/renol/OneDrive/Documentos/Sound Recordings/Sample Recording PTBR.wav"],"src":"/C:/Users/renol/OneDrive/Documentos/Sound Recordings/Sample Recording PTBR.wav"},{"key":"lang","value":"pt-BR","type":"text"},{"key":"custid","value":"{{uniquecustomerid}}","type":"text"},{"key":"autodetect","value":"1","type":"text"},{"key":"userealtime","value":"1","type":"text"}]},"url":"https://api.brazilsouth.bitfractal.com/api/TranscribeSTTAudioFile","urlObject":{"protocol":"https","path":["api","TranscribeSTTAudioFile"],"host":["api","brazilsouth","bitfractal","com"],"query":[],"variable":[]}},"response":[{"id":"30792aff-1e88-4d45-a910-adf3f69e1c8c","name":"TranscribeSTTAudioFile - BR","originalRequest":{"method":"POST","header":[],"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/renol/OneDrive/Documentos/Sound Recordings/Sample Recording PTBR.wav"],"src":"/C:/Users/renol/OneDrive/Documentos/Sound Recordings/Sample Recording PTBR.wav"},{"key":"lang","value":"pt-BR","type":"text"},{"key":"custid","value":"{{uniquecustomerid}}","type":"text"},{"key":"autodetect","value":"1","type":"text"}]},"url":"https://api.brazilsouth.bitfractal.com/api/TranscribeSTTAudioFile"},"status":"OK","code":200,"_postman_previewlanguage":"plain","header":[{"key":"Content-Type","value":"text/plain; charset=utf-8"},{"key":"Date","value":"Wed, 24 Apr 2024 15:32:11 GMT"},{"key":"Content-Encoding","value":"gzip"},{"key":"Transfer-Encoding","value":"chunked"},{"key":"Vary","value":"Accept-Encoding"},{"key":"Strict-Transport-Security","value":"max-age=864000"},{"key":"Request-Context","value":"appId=cid-v1:05406a17-cdac-422f-9d31-3cad5e969bf2"},{"key":"X-Content-Type-Options","value":"nosniff"}],"cookie":[],"responseTime":null,"body":"Olá, esse é um teste de gravação de STT em língua portuguesa, Brasil."}],"_postman_id":"c87f9279-c7e9-4750-8daf-3d4c31b7bca0"}],"id":"7b2cb0cf-a321-4407-ae07-6ccbb9262aa6","description":"<p>BitFractal STT API surfaces in a simplified way methods to generate audio transcripts from an audio file.</p>\n<p>This API exposes a sinlge method: <code>TranscribeSTTAudioFile</code> that can be configured to transcribe different audio formats, the input audio sent to the service for transcription can be of any of the following formats for real-time transcription: <code>wav, opus, ogg, webm, or mp3</code> or for batch transcription: <code>wav, opus, ogg, webm, mp3, flac, wma, aac, amr, m4a, and speex</code>.</p>\n<p>Setting the <code>autodect</code> parameter to <code>1</code> will allow the service to automatically identify the audio bitrate, channels, and sample rate. Otherwise that must be provided on the API call. This is only applicable for real-time transcriptions.</p>\n<p>When diarization, or VTT is not being used, the method will return a return code 200 and plain text with the audio transcription in the response body, otherwise, the return body will contain as JSON with all requested features.</p>\n<h3 id=\"real-time-versus-battch-transcription\">Real-time versus Battch transcription</h3>\n<p>This API offers both real-time and batch transcription options, defined by the parameter <code>userealtime</code>.</p>\n<p>Real-time transcriptions are faster for short audios and ideal for single-speaker audios, like the ones commonly used by IVRs, Chat, and WhatsApp applications. Real-time transcriptions are less precise than batch transcription when diarization is required.</p>\n<p>To transcribe contact-center calls, or any audio with two speakers, specially when speaker separation and identification is needed, we recommend using batch transcriptions. Batch transcription can transcribe a larger variety of audio format and have great accuracy and precision in separating and identifying speakers, even for mono audios.</p>\n<p><strong>Azure Speech AI models vs OpenAI Whisper models</strong></p>\n<p>This API offers the latest speech AI models from both Azure Speech AI and OpenAI, you can choose which model to use for bacth transcriptions by setting the <code>usewhisper</code> parameter. Each model offers different benefits and can be best used by different use cases.</p>\n<p><strong>note:</strong> Whisper model is currently only available in the US, thus any API call with the parameter <code>usewhisper = 1</code> will have this part of the API processing calling resources from the US datacenter with potential data flowing across region boundaries. You must agree with this condition beforing using this capability.</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Details</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>file</code></td>\n<td>Required. Audio file to be transcribed.</td>\n</tr>\n<tr>\n<td><code>lang</code></td>\n<td>Optional - Default <code>pt-BR</code> - Defines the audio language. See <a href=\"https://www.bitfractal.com/post/bitfractal-tts-languages\">supported languages</a> for reference.</td>\n</tr>\n<tr>\n<td><code>custid</code></td>\n<td>Required - Your unique customer identifier.</td>\n</tr>\n<tr>\n<td><code>autodetect</code></td>\n<td>Optional - Default <code>1</code>. If defined as <code>1</code>, the system will automatically identify <code>waveFormat</code>, <code>samplesPerSecond</code>, <code>bitsPerSample</code>, and <code>channels</code>, from the audio file. If defined as <code>0</code>, these parameters must be provided as below.</td>\n</tr>\n<tr>\n<td><code>waveFormat</code></td>\n<td>Optional - Default <code>MULAW</code>. Defines the Wav audio format - accepts <code>MULAW</code>, <code>ALAW</code>, and <code>PCM</code>.</td>\n</tr>\n<tr>\n<td><code>samplesPerSecond</code></td>\n<td>Optional - Default <code>8000</code>. Defines the wav file sample rate.</td>\n</tr>\n<tr>\n<td><code>bitsPerSample</code></td>\n<td>Optional - Default <code>8</code> (64Kbps). Defines the wav file bit rate.</td>\n</tr>\n<tr>\n<td><code>channels</code></td>\n<td>Optional - Default <code>1</code>. <code>1</code> - for mono and <code>2</code> - for stereo.</td>\n</tr>\n<tr>\n<td><code>includevtt</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - does not include vtt; <code>1</code> - includes vtt which is a time reference for each spoken paragraph. Use to sync the transcription with audios e videos. <code>2</code> - include word-level vtt</td>\n</tr>\n<tr>\n<td><code>profanityfilter</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - Masked (profanity shows as * in the transcription), <code>1</code> - Removed (profanity is removed from transcription), and <code>2</code> - Raw (profanity shows as is in the transcription).</td>\n</tr>\n<tr>\n<td><code>phraselist</code></td>\n<td>Optional - If provided as a ; separated list, these sentences help improve transcription accuracy for domain-specific terms. Used only for real-time transcription</td>\n</tr>\n<tr>\n<td><code>diarization</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - does not perform speaker separation and identification ; <code>1</code> - perform speaker separation and identification</td>\n</tr>\n<tr>\n<td><code>stereoaudio</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - uploaded audio is mono ; <code>1</code> - uploaded audio is stereo</td>\n</tr>\n<tr>\n<td><code>usewhisper</code></td>\n<td>Optional - Default <code>0</code>. Only used for batch transcriptions. <code>0</code> - use Azure Speech AI model ; <code>1</code> - use OpenAI Whisper model</td>\n</tr>\n<tr>\n<td><code>userealtime</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - use batch transcription - ideal for calls with two people that require diarization. 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Many techniques can be used to assess results and measure performance, and for that we recommend a deeper research around this topic, if handling LLMs imprecision is necessary to your use case scenario.</p>\n<h5 id=\"rag\">RAG:</h5>\n<p>RAG, or Retrieval-augmented generation, is an advanced artificial intelligence technique that combines information retrieval with text generation. It allows large language models (LLMs) to tap additional data resources without retraining, thereby improving the quality of generative AI. RAG leverages a database to fetch the most contextually relevant results that match the user's query at generation time. RAG is fundamental to ensure the AI model will work with your company or customer data properly, without the need to fine tune or retrain the model. For an API call, always consider properly retrieving business and customer data before calling the API and only passing to the API data that is relevant for the model to use, according to the provided prompt. Passing more information than necessary to the API call can impact unintentionally reaching the max prompt size (4,096 tokens for GPT3.5-Turbo) or exposing data that is not expected to be visible to the user.</p>\n<h5 id=\"grounding\">Grounding:</h5>\n<p>Grounding is a process associated to RAG that helps the model ground its response to factual data, this is a very important process to add precision to the execution and ensuring responses are in line to the expected results. Grounding is achieved by having a well-designed prompt that properly instruct the model execution to use the provided data and how to respond to user for all possible scenarios.</p>\n<h3 id=\"chained-calls\">Chained calls</h3>\n<p>While many scenarios can be addressed in a single API call, it's a good practice to divide the execution in small tasks and consider chained calls, using the results of the first call as input to the second call, and from the second to the third, and etc. The BitFractal API allows for chained calls using only the Conversational AI API, or by combining it to the STT and TTS API. For example, a first call could be used to receive audio input from customers in different languages and translate it to a base language, then a second call could be used to analyze customer message for intent, sentiment, entity extraction, and use that information to craft the audio response using a third API call.</p>\n<h3 id=\"multiturn-and-examples\">Multiturn and examples</h3>\n<p>Examples is a really powerful way to help the model produce the desired output, LLMs are very prone to follow examples, hence using this capability is fundamental to drive great results. These examples are provided to the API using the previousmessages field, using the following format:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">[{ \"role\":\"assistant\", \"content\": \"assistant's message\" },\n{ \"role\": \"user\", \"content\": \"user's message\" }]\n\n</code></pre>\n<p>It's recommended to always provide a pair of assistant and user messages for each example.</p>\n<p>The same field (<code>previousmessages</code>) and capability is used to deliver another very important capability, multiturn. Multiturn is the ability for the virtual assistant to use previous messages to elaborate its responses, allowing for scenarios where users can ask questions in the context of the whole conversation and not just for the message. For example, a customer could ask for cars available for rental, and the AI respond that there are 3 cars, a red, a green, and a blue car. Then the customer only say: I'd like to blue one. And the model would know, because of multiturn, that they are referring to the blue car from the previous message.</p>\n<p>It's always important to take into consideration the number of tokens being used at each interaction to be able to include examples and previous messages properly.</p>\n<h3 id=\"token-limits\">Token Limits</h3>\n<p>Currently, the Conversational AI API is set to work with the GPT3-Turbo model. GPT-4 or other models can be used upon request and can represent a different cost. If necessary, please contact <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.<br />For GPT3.5-Turbo the token limit is 4,096 tokens, meaning that the entire input and output should stay within this limit. Each token, in English, correspond to about 4 characters. For a more precise token calculation, we recommend using a tokenizer tool like tiktoken: <a href=\"https://github.com/openai/tiktoken\">OpenAI tiktoken (github.com)</a>.<br />It's important to ensure you properly define prompts, examples, and multiturn, as well as max response size to match this limit. A way to overcome this limitation is to break the execution in smaller tasks and make more than one call to the service.</p>\n<h3 id=\"different-scenarios\">Different scenarios</h3>\n<p>It's impossible to tell all possible scenarios that can be addressed using BitFractal Conversational AI API, these scenarios can be applied to a single channel, like voice for IVRs, or for multi-channel scenarios like for WhatsApp, Bots, SMS, and other messaging apps that can use variations of text and voice input and output.<br />And for each of these different channels, apps, and system, by simply crafting the prompt and setting the API parameters, an infinity of ideas can come to life. Along with this API, BitFractal includes a simulator application, called Conversational AI API Playground that allow you to play with the API, and test it for any possible situation, and then export the configuration to be used in the API call.<br />To illustrate the variety of possible scenario, we added a few starting-point templates to the playground, that while not the final solution nor the only possible scenarios, it gives a good idea of the API potential. Currently, the included scenarios are:</p>\n<ul>\n<li><p>eCommerce customer service agent for IVR and Messaging scenarios</p>\n</li>\n<li><p>Bank agent with customer data and call transfer for IVR scenarios</p>\n</li>\n<li><p>Medical clinic with company data to handle customer inquiries</p>\n</li>\n<li><p>Summarization, sentiment analysis, and entity extraction from any voice or text message</p>\n</li>\n<li><p>Transcribe and revoice to create voiceovers with synthetic voices from a narration</p>\n</li>\n<li><p>Voice-to-text and text-to-voice translations</p>\n</li>\n<li><p>BitFractal API coding bot that helps using our API by writing code for the user</p>\n</li>\n</ul>\n<p>Many other scenarios can and should be created to address your own needs, if help is needed, please reach out to <a href=\"https://mailto:support@bitfractal.com\">support@bitfractal.com</a>.</p>\n<h3 id=\"prompt-engineering\">Prompt engineering</h3>\n<p>Designing a prompt to guide the model to accomplish the desired tasks is fundamental, and while prompts for LLMs are written in natural language, the way the LLMs interpret the information is not exactly like humans do, therefore, some techiniques should be applied to ensure the model will execute and respond as required. To help with this, we suggest that, prior to writing your own prompts that you read these two articles from Microsoft:</p>\n<p><a href=\"https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/prompt-engineering\">Azure OpenAI Service - Introduction to prompt engineering</a></p>\n<p><a href=\"https://learn.microsoft.com/en-us/azure/ai-services/openai/concepts/advanced-prompt-engineering?pivots=programming-language-chat-completions\">Prompt engineering techniques with Azure OpenAI</a></p>\n<p>After that, use the Playground app to test, change, and simulate any prompts until you're ready to export the configuration to be used in the API call.</p>\n<h3 id=\"using-different-types-of-inputs-and-outputs\">Using different types of inputs and outputs</h3>\n<p>The BitFractal Conversation AI API uses the <code>textinput</code> and <code>textoutput</code> parameters to determine how the information should flow in and out of the API, this feature allows to address any combination of messages, or to use only part of the API as needed, for example, an in and out configuration of text can be used to do analysis over a message, while a voice input with text output can be used to generate transcriptions or code from an user input.</p>\n<h3 id=\"bitfractal-conversational-ai-api-playground\">BitFractal Conversational AI API Playground</h3>\n<p>To help you learn, play with the different parameters and prompts, and simulate all different scenarios you may need, you can use the <a href=\"https://aiplayground.bitfractal.com/\">BitFractal AI Playground</a> that uses the same API and allows you to use pre-built templates, create your own, export, and import.</p>\n<p>The main screen looks like any other messaging app, and accepts voice and text inputs to simulate both IVRs and messaging systems.</p>\n<img src=\"https://content.pstmn.io/68e22765-e3cf-4e98-8561-acc29cd98125/aW1hZ2UucG5n\" alt=\"BitFractal%20Conversational%20AI%20API%20Playground\" width=\"445\" height=\"278\" />\n\n<p>By clicking on the Settings button on the top-right corner of the screen, you'll get access to the configuration area of the application.</p>\n<p>First add our <code>customer id</code> and <code>access code</code> to the corresponding fields, keep or change the API <code>URL</code> according to your region. If you chose to start with a template, select it from the templates dropdown box.</p>\n<blockquote>\n<p>The Customer ID and Access Code won't be saved after you close your browser. You can export and import your own templates, with these pieces of information to make it easier to configure the app next time. </p>\n</blockquote>\n<p>For the Language and Voice fields you can refer to this link to see a list of the over 400 voices and 140 languages supported: <a href=\"https://www.bitfractal.com/post/bitfractal-tts-languages\">Supported Languages and Voices.</a></p>\n<p>The <code>Show Metadata</code> checkbox enables/disable the display of the processing results of your message, which can be useful to debug your simulation.</p>\n<p>The <code>Use multi-turn chat</code> and the <code>past message count</code> field below enables the use of contextual multi-turn conversations. We recommend using an even number of messages and not too many to avoid exceeding the max token limit.</p>\n<p>The <code>Intro Message</code> and <code>Responding Message</code> fields are just predefined messages sent to the user at the beginning or before returning information to the user, simply to improve user experience.</p>\n<p>For <code>Max Response</code>, <code>Temperature</code>, <code>Frequency Penalty</code> and <code>Presence Penalty</code>, see definition in the API parameters table below.</p>\n<p>The <code>System Message</code> text box is where you should enter your detailed prompt. If you choose to, besides providing a response to the user, to also do some analysis, you <strong>must format your output in JSON format and have a field called answer to hold the message to be verbalized to the user</strong>. All other parameters will be shown in the metadata message along with the AI response. If your prompt uses data from the <code>Customer Data</code> text box, you must use the following placeholder in your prompt <code>&lt;&lt;</code>customerdata<code>&gt;&gt;</code>.<br />Any examples provided in the <code>Examples</code> text box, must be in the following format:</p>\n<pre class=\"click-to-expand-wrapper is-snippet-wrapper\"><code class=\"language-json\">[{ \"role\":\"assistant\", \"content\": \"assistant's message\" },\n{ \"role\": \"user\", \"content\": \"user's message\" }]\n\n</code></pre>\n<p>Keep in mind that the System Message, Customer Data, and Examples text boxes are intended to simplify usability, and are only present in the Playground app, these will translate as <code>systemmessage</code> and <code>previousmessages</code> on the API call, with customer data being infused in your prompt, after your RAG process, in the systemmessage field.</p>\n<img src=\"https://content.pstmn.io/5a8984f9-30df-4cde-8415-13299bd37a0b/aW1hZ2UucG5n\" alt=\"Settings area\" width=\"447\" height=\"268\" />\n\n<p>With everything set, you can save your parameters, closing the Setting area, and start simulating user input, via text or voice, per your unique use case scenario.</p>\n<img src=\"https://content.pstmn.io/0f647bd5-05a8-4c30-a21f-ef974ba6bb63/aW1hZ2UucG5n\" alt=\"BitFractal Conversational AI API Playground\" width=\"449\" height=\"270\" />\n\n<p>When done with testing and confident of the right paremeters to be used on the API call, export your setting and simply copy and paste the parameter from the generated JSON file to your code or API caller.</p>\n<p>Please see below all fields accepted by the Chat API:</p>\n<div class=\"click-to-expand-wrapper is-table-wrapper\"><table>\n<thead>\n<tr>\n<th>Parameter</th>\n<th>Details</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td><code>file</code></td>\n<td>Required if <code>textinput = 0</code>. Audio file to be transcribed.</td>\n</tr>\n<tr>\n<td><code>lang</code></td>\n<td>Optional - Default <code>en-US</code> for the useast endpoint, <code>en-GB</code> for the uksouth endpoint, and <code>pt-BR</code> for the brazilsouth endpoint - Defines the text and audio language. See <a href=\"https://www.bitfractal.com/post/bitfractal-tts-languages\">supported languages</a> for reference.</td>\n</tr>\n<tr>\n<td><code>custid</code></td>\n<td>Required - Your unique customer identifier.</td>\n</tr>\n<tr>\n<td><code>autodetect</code></td>\n<td>Optional - Default <code>1</code>. If defined as <code>1</code>, the system will automatically identify <code>waveFormat</code>, <code>samplesPerSecond</code>, <code>bitsPerSample</code>, and <code>channels</code>, from the audio file. If defined as <code>0</code>, these parameters must be provided as below.</td>\n</tr>\n<tr>\n<td><code>waveFormat</code></td>\n<td>Optional - Default <code>MULAW</code>. Defines the Wav audio format - accepts <code>MULAW</code>, <code>ALAW</code>, and <code>PCM</code>.</td>\n</tr>\n<tr>\n<td><code>samplesPerSecond</code></td>\n<td>Optional - Default <code>8000</code>. Defines the wav file sample rate.</td>\n</tr>\n<tr>\n<td><code>bitsPerSample</code></td>\n<td>Optional - Default <code>8</code> (64Kbps). Defines the wav file bit rate.</td>\n</tr>\n<tr>\n<td><code>channels</code></td>\n<td>Optional - Default <code>1</code>. <code>1</code> - for mono and <code>2</code> - for stereo.</td>\n</tr>\n<tr>\n<td><code>voice</code></td>\n<td>Optional - Default <code>en-US-JennyNeural</code> for the useast endpoint, <code>en-GB-SoniaNeural</code> for the uksouth endpoint, and <code>pt-BR-GiovannaNeural</code> for the brazilsouth endpoint - Defines the voice to be used to generate the audio file. See <a href=\"https://www.bitfractal.com/post/bitfractal-tts-languages\">supported voices</a> for reference.</td>\n</tr>\n<tr>\n<td><code>output</code></td>\n<td>Optional - Default <code>16-mp3</code> - Defines the audio file output frequency and format. See available formats earlier in this documentation.</td>\n</tr>\n<tr>\n<td><code>returnaudio</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - return a link to the audio file; <code>1</code> - return audio data in the response body.</td>\n</tr>\n<tr>\n<td><code>message</code></td>\n<td>Optional if <code>textinput = 0</code>, otherwise required. Set user's text input message.</td>\n</tr>\n<tr>\n<td><code>textoutput</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - respond with voice; <code>1</code> - respond with text.</td>\n</tr>\n<tr>\n<td><code>textinput</code></td>\n<td>Optional - Default <code>0</code>. <code>0</code> - input from <code>file</code> field; <code>1</code> - input from <code>message</code> field.</td>\n</tr>\n<tr>\n<td><code>systemmessage</code></td>\n<td>Optional - Default <code>empty</code>. Set the prompt to be used by the model with or without RAG.</td>\n</tr>\n<tr>\n<td><code>maxresponse</code></td>\n<td>Optional - Default <code>800</code>. Set a limit on the number of tokens per model response. The API supports a maximum of 4,096 tokens shared between the prompt (including system message, examples, message history, and user query) and the model's response. One token is roughly 4 characters for typical English text.</td>\n</tr>\n<tr>\n<td><code>temperature</code></td>\n<td>Optional - Default <code>0.5</code>. Controls randomness. Lowering the temperature means that the model will produce more repetitive and deterministic responses. Increasing the temperature will result in more unexpected or creative responses.</td>\n</tr>\n<tr>\n<td><code>frequencepenalty</code></td>\n<td>Optional - Default <code>0</code>. Max <code>2</code>. Reduce the chance of repeating a token proportionally based on how often it has appeared in the text so far. This decreases the likelihood of repeating the exact same text in a response.</td>\n</tr>\n<tr>\n<td><code>presencepenalty</code></td>\n<td>Optional - Default <code>0</code>. Max <code>2</code>. Reduce the chance of repeating any token that has appeared in the text at all so far. This increases the likelihood of introducing new topics in a response.</td>\n</tr>\n<tr>\n<td><code>previousmessages</code></td>\n<td>Optional - Used for multi-turn conversations and examples. Should follow specific JSON format describe earlier in this document.</td>\n</tr>\n</tbody>\n</table>\n</div>","_postman_id":"617eb90e-afb1-4a23-b038-b3c37d997018"}],"event":[{"listen":"prerequest","script":{"id":"fb01afbc-f5d9-4e7d-9f7c-2e56411d70a6","type":"text/javascript","exec":[""]}},{"listen":"test","script":{"id":"0cd1c855-cd47-4003-b617-e118335252c8","type":"text/javascript","exec":[""]}}]}