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Changelog: Otoq v1.0 — Launch Release
Changelogchangelogreleasev1.0

Changelog: Otoq v1.0 — Launch Release

Everything included in the Otoq v1.0 launch: AI agents, knowledge base, lead capture, analytics, and more.

Otoq TeamFebruary 15, 20263 min read
Table of Contents
  1. 1.AI Agent Engine
  2. 2.Knowledge Base
  3. 3.Lead Capture & Management
  4. 4.Analytics Dashboard
  5. 5.Embeddable Chat Widget
  6. 6.Platform & Security

We're thrilled to ship the first version of Otoq. Here's everything included in the v1.0 launch release.

AI Agent Engine

The core of Otoq — create and deploy AI agents trained on your business data.

  • Claude and GPT-4 powered responses with RAG (Retrieval-Augmented Generation)
  • Customizable agent personality: professional, friendly, casual, or formal
  • Configurable welcome messages and custom instructions
  • Automatic conversation summarization and sentiment analysis

Knowledge Base

Train your agents with multiple data sources:

  • Website crawler — point at a URL and we extract the content automatically
  • File uploads — PDF, TXT, MD, CSV (up to 10MB)
  • Direct text input — paste FAQ answers, policies, or product details
  • Smart chunking and embedding for accurate retrieval

Lead Capture & Management

Automatic lead extraction from conversations:

  • Email, name, and phone number detection from chat messages
  • Lead scoring based on conversation engagement
  • CSV export for CRM integration
  • Dashboard with filtering and search

Analytics Dashboard

Understand how your agents perform:

  • Total conversations, messages, and resolution metrics
  • Sentiment distribution (positive, neutral, negative)
  • Trending topics and common questions
  • Lead capture funnel metrics

Embeddable Chat Widget

One script tag, that's it:

  • Responsive design that works on any device
  • Customizable brand colors
  • Streaming responses for a natural chat feel
  • Automatic CORS and origin validation

Platform & Security

Production-grade infrastructure:

  • Upstash Redis rate limiting (per-visitor and per-agent daily limits)
  • Row-level security on all database tables
  • Input sanitization and SSRF protection
  • Sentry error monitoring and PostHog analytics
  • Lemon Squeezy payment integration with webhook idempotency

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