# Inya Docs > Inya Docs is a documentation site for Inya AI. ## Docs - [Creating a Knowledge Base](https://docs.gnani.ai/A01_KB.md) - [Creating Your first Agent](https://docs.gnani.ai/A02_Agent.md): Time to roll - [Testing your Agent](https://docs.gnani.ai/A03_Testing.md) - [Whitelisting Numbers](https://docs.gnani.ai/A04_Whitelisting.md): Simulate a real call - [DTMF Collection](https://docs.gnani.ai/B01_DTMF.md) - [Advanced ASR Settings ](https://docs.gnani.ai/B02_Advanced_ASR.md): Control how your voice agent listens, detects, and processes user speech in real-time conversations. - [Voicemail Detection](https://docs.gnani.ai/B03_Voicemail.md) - [Dynamic Variables & Dynamic Messages](https://docs.gnani.ai/B04_Dynamic_Variables.md): Personalize your agent's responses - [Writing a Disposition Prompt](https://docs.gnani.ai/C01_Disposition.md): Customize the post-call analytics - [Language Switch Prompt](https://docs.gnani.ai/C02_Language_Switch.md): Configure how your agent detects and responds to user requests for changing languages during a conversation. - [Using Jinja for Dynamic System Prompts ](https://docs.gnani.ai/C03_Jinja.md): Description of your new file. - [SMS Integration and Action](https://docs.gnani.ai/D01_Twilio_SMS.md) - [CRM Integration and Action](https://docs.gnani.ai/D02_Zoho_CRM.md) - [Email Integration and Action](https://docs.gnani.ai/D03_MailSend_Email.md): Allow agents to send emails - [Ticketing Integration and Actions](https://docs.gnani.ai/D04_Zoho_Ticket.md) - [Custom Integrations and Actions](https://docs.gnani.ai/D05_Custom.md): Description of your new file. - [Integrating Inya with Webex Contact Center](https://docs.gnani.ai/D06_Webex.md) - [Conversational Logs](https://docs.gnani.ai/E01_Conversational_Logs.md): Your agent's flight recorder - [Dev Logs](https://docs.gnani.ai/E02_Dev_Logs.md): Troubleshoot agent behavior - [Agent Analytics](https://docs.gnani.ai/E03_Agent_Analytics.md): Your Agent’s Report Card - [Action Logs](https://docs.gnani.ai/E04_Action_Logs.md): Your Integrations’ Detective tool. - [Need Help?](https://docs.gnani.ai/F01_Support.md): Get Help, Share Feedback, and Report Issues - [Organizations](https://docs.gnani.ai/F02_Org.md) - [Environments](https://docs.gnani.ai/F03_Env.md) - [Setting Up Integrations](https://docs.gnani.ai/M03_Integrations.md): Description of your new file. - [Managing Variables & Actions](https://docs.gnani.ai/M04_Actions.md): Description of your new file. - [Agent Chaining](https://docs.gnani.ai/M05_Chains.md): Description of your new file. - [Import Twilio number](https://docs.gnani.ai/M16x_Import_Number.md): Description of your new file. - [Dashboard](https://docs.gnani.ai/M21_Dashboard.md): The Big Picture - [Add Your Custom Scorecard](https://docs.gnani.ai/add-your.md) - [Calls](https://docs.gnani.ai/b.md) - [Call Analysis](https://docs.gnani.ai/c.md) - [Creating a Workforce](https://docs.gnani.ai/creating-a-workforce.md) - [Introduction](https://docs.gnani.ai/introduction.md): Welcome, future innovator! This guide is your friendly roadmap to building a powerful AI agent, even if you're totally new to conversational AI. Here, you'll learn not only how to set up your agent but also why each feature is important and how it can be applied to real-world scenarios. Whether you… - [Introduction](https://docs.gnani.ai/introduction-1.md) - [LiveKit Plugin](https://docs.gnani.ai/livekit/introduction.md): Use Vachana STT and TTS inside LiveKit Agents voice pipelines for Indian languages. - [Pipecat Plugin](https://docs.gnani.ai/pipecat/introduction.md): Use Vachana STT and TTS inside Pipecat voice agent pipelines for Indian languages. - [New file](https://docs.gnani.ai/temo.md): Description of your new file. - [Customise your Analytics](https://docs.gnani.ai/untitled-page.md) - [Manage Your Users](https://docs.gnani.ai/untitled-page-copied-1.md) - [Speech-to-Text (REST)](https://docs.gnani.ai/vachana/STT/speech-to-text.md): Quick transcription of audio clips up to 60 seconds via HTTP. - [Speech-to-Text (Batch)](https://docs.gnani.ai/vachana/STT/stt-batch.md): Asynchronous transcription of long or multiple audio files via HTTP. - [Speech-to-Text (Realtime)](https://docs.gnani.ai/vachana/STT/stt-websocket.md): Real-time speech-to-text over a persistent WebSocket connection. - [Text-to-Speech (REST)](https://docs.gnani.ai/vachana/TTS/tts-inference.md): Synchronous text-to-speech with full audio returned in one response. - [Input Formatting Guide](https://docs.gnani.ai/vachana/TTS/tts-input-formating.md): How to format numbers, IDs, currency, and dates in the text field for correct TTS pronunciation. - [Text-to-Speech (Streaming)](https://docs.gnani.ai/vachana/TTS/tts-sse.md): Stream audio in chunks as it's generated via Server-Sent Events. - [Text-to-Speech (Realtime)](https://docs.gnani.ai/vachana/TTS/tts-websocket.md): Real-time text-to-speech with streaming audio via WebSocket. - [Voice Cloned TTS (REST)](https://docs.gnani.ai/vachana/VC/vc-inference.md): Generate cloned voice audio in a single synchronous response. - [Voice Cloned TTS (Streaming)](https://docs.gnani.ai/vachana/VC/vc-sse.md): Stream cloned voice audio in chunks via Server-Sent Events. - [Voice Cloned TTS (Realtime)](https://docs.gnani.ai/vachana/VC/vc-websocket.md): Real-time cloned voice audio streaming via WebSocket. - [Voice Clone Embeddings](https://docs.gnani.ai/vachana/VC/voice-clone-embeddings.md): Generate voice clone embeddings from an audio file. - [Introduction](https://docs.gnani.ai/vachana/introduction/introduction.md): [Vachana](https://app.vachana.ai/) provides high-accuracy speech-to-text and text-to-speech APIs across 10+ Indian languages. Every API is optimized for Indian speech patterns, including regional dialects, code-switching, and accurate native-script transcription. - [Quick Start](https://docs.gnani.ai/vachana/introduction/quick-start.md): Make your first STT, TTS, or Voice Clone request in minutes using the Python SDK. - [Call Analytics Pipeline](https://docs.gnani.ai/vachana/use-cases/call-analytics.md): A production-ready Python pipeline for call analytics using the Vachana Batch STT API. Covers async transcription with two-speaker diarization, segment-level sentiment, and LLM-powered analysis via Claude or OpenAI. - [Podcast Transcription with Speaker Labels](https://docs.gnani.ai/vachana/use-cases/podcast-transcription.md): Transcribe multi-speaker audio at scale using the Vachana Batch STT API. From submitting an audio file to receiving a clean, speaker-separated transcript — in 10 Indian languages. - [Real-Time Quality & Compliance Monitoring](https://docs.gnani.ai/vachana/use-cases/real-time-compliance.md): Build a production-grade monitoring system that streams contact center audio to the Vachana WebSocket STT API, detects compliance violations and quality signals in live transcripts, and triggers alerts in under 500ms of speech completion. ## OpenAPI Specs - [TTS](https://docs.gnani.ai/TTS.yml) - [STT](https://docs.gnani.ai/STT.yml) - [voice-clone-embeddings](https://docs.gnani.ai/voice-clone-embeddings.yml) ## AsyncAPI Specs - [stt-websocket](https://docs.gnani.ai/stt-websocket.yml) - [tts-websocket](https://docs.gnani.ai/tts-websocket.yml)