Ignitech AI Caller - Application Overview

Overview

Ignitech AI Caller is a production-oriented lead qualification pipeline. It takes new leads, calls them through Vobiz and LiveKit SIP, runs an AI voice conversation, stores the structured call result in PostgreSQL, and pushes qualified follow-up work into Talking Shops CRM.

Core Capabilities

Ingest leads from IndiaMART, Facebook Lead Ads, Facebook Page messages, CSV uploads, or manual inserts.
Normalize Indian mobile numbers before dialing.
Enforce configured calling windows, weekdays, concurrency limits, and test whitelists.
Create outbound SIP calls through LiveKit using a Vobiz SIP trunk.
Run either Sarvam or OpenAI Realtime voice agents.
Save call status, failure reason, qualification JSON, and duration.
Retry rejected, unanswered, stale, and dispatch-failed calls up to a configured limit.
Push completed qualifications to Talking Shops as follow-up tasks.
Provide Streamlit dashboards for pipeline visibility and call-minute reporting.

High-Level Architecture

Lead sources
  -> lead_fetcher.py / streamlit_app.py
  -> PostgreSQL leads table
  -> scheduler.py
  -> PostgreSQL calls table
  -> LiveKit SIP API
  -> Vobiz SIP trunk
  -> Lead phone
  -> LiveKit room: ignitech-lead-{lead_id}
  -> agent.py or agent_realtime.py
  -> calls.qualification JSONB
  -> talkingshops_pusher.py
  -> Talking Shops CRM task

Main Components

Component	Responsibility
`lead_fetcher.py`	Polls IndiaMART and receives Facebook webhook leads
`scheduler.py`	Selects callable leads and starts SIP calls
`sip_setup.py`	Creates, lists, deletes, and tests SIP trunks
`agent.py`	Sarvam voice-agent mode
`agent_realtime.py`	OpenAI Realtime voice-agent mode
`db.py`	Database schema and helper functions
`talkingshops_pusher.py`	Pushes qualified calls to Talking Shops
`streamlit_app.py`	Internal dashboard and CSV upload
`pages/minutes.py`	Call-minute reporting
`token_server.py`	LiveKit token server for browser testing

Getting Started

Architecture

Integrations

Operations

Ignitech AI Caller - Application Overview

Overview

Core Capabilities

High-Level Architecture

Main Components

What To Read Next

​Overview

​Core Capabilities

​High-Level Architecture

​Main Components

​What To Read Next

Overview

Core Capabilities

High-Level Architecture

Main Components

What To Read Next