Diabolocom AI public API documentation is now available on Diabolocom Developer page : https://developer.diabolocom.com/

Here is the link to directly access API documentation Diabolocom AI - Public API

Diabolocom AI - Public API

• AI App -> Here is the link to directly access API documentation AI App
  • Product owner : Aziz Baganne
• Quality Monitoring -> Here is the link to directly access API documentation Quality Monitoring
  
  • Product owner : Rémi Guinier

AI App - Public API

App link : AI App

Public API documentation link : AI App

The Public API documentation link is also available in AI App home page and AI models pages.

Description :

• Parameters required for API use
• Endpoints and requests description
  • Query parameters
  • Request headers
  • Request body type and content parameters
  • Response body type and content parameters
• Example requests

(1) Audio -> Dedicated for audio streams

• (A) Endpoints description
  • api/job/tasks | form-data -> Run AI task based on audio (form-data payload) : Relevant for Standalone use case (audio file import)
  • api/job/tasks | json -> Run AI task based on audio (json payload) : Relevant for Public API Integration with Diabolocom CCaaS (voice) (for performing AI analyses on existing transcription job)
  • api/job/status/{job_id} -> Access AI task job status/results
• (B) Webhook Callback description -> Relevant for AI results processing (post analysis flows) : Click here for more details
• (C) Documentation of each AI model for audio -> Available use cases with endpoints listed above

(2) Text -> Dedicated for text streams

• (A) Endpoints description
  • api/job/text-tasks -> Run AI task based on text
  • api/job/status/{job_id} -> Access AI task job status/results
    • Same as for audio. Only difference : Examples provided are relative to AI analyses on text
• (B) Webhook Callback description -> Relevant for AI results processing (post analysis flows): Click here for more details
  • Same as for audio. Only difference : Examples provided are relative to AI analyses on text
• (C) Documentation of each AI model for text -> Available use cases with endpoints listed above

Quality Monitoring - Public API

App link : Quality Monitoring

Public API documentation link : Quality Monitoring

Description :

• Parameters required for API use
• Endpoints and requests description
  • Query parameters
  • Request headers
  • Request body type and content parameters
  • Response body type and content parameters
• Example requests

(1) Add a new QM interaction

• (A) Standalone use case (audio file import)
  • (i) Add QM interaction without additional AI analyses
  • (ii) Add QM interaction with additional AI analyses
• (B) Public API Integration with Diabolocom CCaaS (voice)
  • (i) Add QM interaction without additional AI analyses
  • (ii) Add QM interaction with additional AI analyses

(2) Get QM interactions

• (A) Get QM interactions without AI analyses results
  • (i) Get QM interactions list
  • (ii) Get detailed QM interaction by ID
• (B) Get QM interactions with AI analyses results
  
  • (i) Get QM interactions list with AI analyses results
  • (ii) Get QM interactions list with AI analyses results