Product updates

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Agent templates

• Full config export — captures instruction, model, capabilities (memory, sandbox, heartbeat, etc.), branding, tool connections, artifact settings, and upload rules
• One-click import — import when creating a new agent or apply to an existing agent from Settings → Agent Template
• Predefined connector auto-provisioning — tools like HubSpot, Slack, and Twitter are automatically wired up during import; connect your credentials in the Tools tab
• Credential-safe — API keys and OAuth tokens are never included in exported files
• Plain JSON — .boostgpt files are human-readable and can be version-controlled alongside your code

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Chat widget

<script src="https://embed.boostgpt.co/widget.js" data-bot-id="YOUR_BOT_UUID"></script>

• Full agent experience — workspace, tools, file uploads, and custom interfaces all work inside the widget
• Branding — bubble inherits your accent color, avatar, and greeting messages. 16 built-in SVG icons or use your bot avatar
• Greeting bubbles — stacked message cards from your branding settings appear above the floating button
• New chat button — accent-colored header with bot name, reload icon, and close button
• Chat persistence — conversations persist across page refreshes via localStorage
• Mobile responsive — full-screen overlay on small viewports
• Auto-open — optionally open the widget after a configurable delay
• Programmatic API — open(), close(), toggle(), hide(), show(), destroy(), and event listeners
• Framework support — setup guides for HTML, Next.js, Nuxt.js, React, Vue, and SvelteKit

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Widget SSO

• JWT-based — your backend signs a token with the bot’s SSO secret. The widget verifies it server-side.
• Auto-provisioning — if the user doesn’t exist, BoostGPT creates their account and subscriber record automatically
• Chat history — identified users get persistent conversations and user memory across sessions
• Skip login gates — SSO users bypass require_login settings
• Secure — tokens expire (1h), are signed (HS256), and the secret is never exposed client-side

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Agent marketplace

• App-store model — agents go through draft → pending_review → approved status flow with staff review
• Ratings & reviews — users rate agents 1–5 stars with optional written reviews. Cached aggregates for fast display.
• Public browse — search by name, category, or featured status. Sorted by rating and views.
• Creator dashboard — view all your listings, update metadata, resubmit rejected listings, or withdraw
• Admin review — staff can approve, reject (with notes), or suspend listings

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Pluggable agent interfaces

• set_interface tool — agents call this built-in tool to activate any workspace HTML file as the chat interface
• Bridge SDK — auto-injected JavaScript SDK (window.BoostGPT) that lets custom interfaces communicate with the chat system via postMessage
• Bidirectional API — interfaces can send messages (chat.sendMessage), read files (workspace.readFile), listen for responses (chat.onResponse), approve tools, and more
• Per-chat or default — set an interface for a single conversation or as the bot’s default interface for all new chats
• Real-time updates — workspace.onFileChange() auto-refreshes the interface when the agent updates data files
• Dashboard controls — “Set as Chat Interface” and “Set as Default Interface” context menu actions in the workspace file explorer

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Workspace scope

• Per Account (default) — one workspace shared across all conversations. Files persist between chats.
• Per Chat — each conversation gets its own isolated workspace. Ideal for tutoring, code reviews, and sandbox experiments.

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Code sandbox

• command built-in tool — agents write and execute shell commands, Python scripts, or Node.js code in a secure sandbox
• Isolated microVMs — each execution runs in its own container with 512MB–2GB RAM, 1–2 CPUs, and 30–180s timeout (varies by plan)
• File sync — workspace files are pushed to the sandbox before execution, results synced back
• Runtime auto-detection — automatically selects Python or Node.js based on file extensions in the workspace
• Output capture — stdout, stderr, and exit codes returned to the agent. Non-zero exit codes flagged with warnings.
• Large file support — files over 60KB are chunked to avoid system limits

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Agent email

• Unique address — each agent receives an email like youragent@boostgpt.page
• AI-powered replies — users email your agent and receive AI responses based on the agent’s instruction and training data
• Dashboard integration — email conversations appear alongside chat conversations in your dashboard
• Subscriber capture — email senders are automatically added as subscribers
• Custom email templates — customize verification, welcome, password reset, subscription, and credit notification emails with your branding

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Built-in agent tools

• Knowledge — search_memory for vector search through training data, screenshot for capturing web pages, web_fetch for extracting page content as markdown
• User Memory — remember, recall, list_memories, forget for managing per-user long-term memory
• Files — write, read, edit, grep, delete for sandbox workspace operations
• Planning — create_plan, update_plan, read_plan, accept_plan for structured multi-step workflows
• Communication — ask_user for structured questions with selectable options, notify_user for proactive notifications, message_agent for cross-agent messaging
• Execution — command for running code and shell commands in an isolated sandbox
• Automation — schedule_task for recurring scheduled tasks
• Utility — think for internal reasoning without user-visible output

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Workspaces

• Built-in tools — write, read, edit, grep, and delete tools available to agents in agent reasoning mode
• Per-user isolation — authenticated users get their own workspace per agent, anonymous users get a chat-scoped workspace
• File explorer — built-in file tree UI with syntax-highlighted code viewer
• Real-time sync — files created or edited by the agent appear instantly in the workspace explorer
• REST API — full workspace and file management via the API for programmatic access

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Agent reasoning mode

• auto — automatically selects the best approach for each request
• standard — quick, single-pass answers (1x credit)
• agent — autonomous multi-step reasoning with tool use (up to 10x credit)

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Plan chat mode

• Plan mode (chat_mode: 'plan') — AI proposes a step-by-step plan before executing any tools
• Approve / Modify / New — approve to execute, reply with changes to revise, or start a fresh plan
• Tool-aware plans — the AI considers all available tools (built-in and connected integrations) when generating plans
• Direct answers — if no tools are needed, bypasses planning and responds directly

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Edit chat mode

• Edit mode (chat_mode: 'edit') — routes your request through the agent, which uses the built-in edit tool for targeted file changes
• Toggle switch — Chat/Edit/Plan toggle next to the send button
• Edit button — per-message “Edit” action on system messages with code blocks
• Smart editing — the agent analyzes your request, locates the right file, and applies precise string replacements
• Multi-step edits — the agent can chain multiple edits across files in a single turn

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Heartbeat scheduling

• Autonomous execution — agents wake up on a timer, execute a prompt, use connected tools, and report back
• Flexible scheduling — configurable intervals, active hours, active days, and timezone support
• notify_user — agents can send notifications (email, in-app) to subscribers during execution
• schedule_task — agents can create their own recurring tasks for follow-up actions
• message_agent — agent-to-agent async communication for multi-agent workflows

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Safety controls

• Circuit breaker — auto-pause after consecutive failures (configurable threshold)
• Credit budgets — per-heartbeat spending limits that reset monthly
• Plan-tier caps — maximum heartbeats per agent and minimum intervals enforced per plan
• Bot-level toggle — per-agent heartbeat enable/disable in Settings → Features & Options

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Execution dashboard

• Logs — every execution with status, duration, tokens, and credits charged
• Activity chart — daily visualization of execution volume
• Stats — success rate, type breakdowns, and time-series data

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API access

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User memory

• Automatic memory — agents learn and store important details (names, preferences, decisions) from natural conversation
• Per-user isolation — each user has their own private memory store, separate from agent training data
• Memory bootstrap — relevant memories are automatically injected into context at the start of each conversation
• Vector-powered recall — memories are semantically searchable, so the most relevant context surfaces automatically
• Memory management — view and delete per-user memories from the Subscribers page in the dashboard

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Context compaction

• Automatic compaction — when conversation context reaches 70% of the model’s limit, older messages are summarized
• Memory-safe — important facts are extracted and saved to user memory before compaction
• Model-aware — compaction threshold adapts to each model’s actual context window size
• Transparent — recent messages are preserved intact, only older history is summarized

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Proactive trigger system

• Smart triggers: Fire events based on user behavior (errors, cart abandonment, page visits)
• Multiple UI types: Button, toast notification, banner, or inline embed
• Customizable appearance: Colors, text, positioning, animations
• Delayed triggers: Show help after a configurable delay

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Screenshot capture

• Automatic screenshots: Capture the page when users click the trigger
• Quality control: Configurable JPEG quality and max dimensions
• Privacy-first: Opt-in only, users must enable per-trigger
• Requires html2canvas: Lightweight dependency (~40KB gzipped)

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Multi-bot routing

• Per-trigger botId: Override the default agent for specific triggers
• Specialized agents: Sales bot for pricing, support bot for errors, billing bot for invoices
• No re-initialization: Switch between bots without calling init() again

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Rich context passing

• Source URL: Agents know which page the user is on
• Custom context: Pass any data (cart value, error codes, user info)
• User identification: Associate triggers with logged-in users
• Prompt templates: Use {{context.field}} in agent instructions

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Reasoning models support

• OpenAI O-Series: O1, O1 Mini, O3 Mini with extended thinking
• Claude 3 Opus: Extended thinking capabilities
• Google Gemini: 2.0 Flash Thinking mode
• xAI Grok: Grok 3 Reasoning
• DeepSeek R1: Cost-effective reasoning model
• Multiple reasoning modes: auto, standard, agent

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Expanded model catalog

• 50+ models across 9 AI providers
• GPT-5 series: GPT-5, GPT-5.1, GPT-5-mini, GPT-5-nano
• GPT-4.1 series: GPT-4.1, GPT-4.1-mini
• Claude 4.5 series: claude-sonnet-4-5, claude-haiku-4-5
• Gemini: Gemini 3, Gemini 2.5 Pro, Gemini 2.5 Flash Lite
• Grok: Grok 4.1, Grok 4, Grok 3 variants

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New provider support

• xAI integration
• DeepSeek integration
• Existing: OpenAI, Google, Anthropic, Mistral, Cohere, Groq, Ollama

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No-code agent creation

• Visual dashboard interface: Create agents without writing any code
• Quick setup: Get started in under 5 minutes
• Custom branding: Fully branded agent pages with custom domains
• Multiple deployment options: Embed widgets, standalone pages, or custom URLs

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Training made simple

• File uploads: Drag-and-drop PDF, Word, and text files
• URL-based training: Add website content with one click
• Direct text input: Paste content directly into the builder
• Memory management tab: Simplified interface for managing training data

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Lead capture & monetization

• Email gating: Built-in lead capture forms
• 94%+ conversion rates: Optimized for maximum subscriber growth
• Lead analytics: Track and export subscriber data
• Integration ready: Connect with your existing CRM and marketing tools

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Custom branding & design

• White-label experience: Remove BoostGPT branding
• Custom themes: Choose colors, logos, and styling
• Conversation starters: Pre-configured example questions
• Custom greetings: Personalized welcome messages

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MCP server generation

• Auto-generate from OpenAPI specs: Convert any OpenAPI specification to MCP server
• Postman collection import: Transform Postman collections into MCP servers
• Managed hosting: Custom MCP URLs at https://mcp.your-server-id.boostgpt.co
• External compatibility: Use with Claude Desktop, ChatGPT, and other MCP-compatible agents

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Pre-built connector library

• Calendar: Calendly, Google Calendar, Cal.com, Outlook
• Email: Gmail, Outlook, SendGrid, Mailchimp, Twilio
• CRM: HubSpot, Salesforce, Pipedrive, Zoho
• Productivity: Notion, Asana, Jira, Linear, Trello, ClickUp, Monday.com
• Storage: Google Drive, Dropbox, OneDrive
• Development: GitHub, Vercel, Netlify
• Analytics: Google Analytics, Mixpanel, Datadog, Sentry
• AI & Media: Stability AI, Runway, Kling AI, Luma Labs, Unsplash, Pexels
• E-Commerce: Shopify, WooCommerce, Stripe
• Communication: Discord, Slack

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Multi-platform support

• Discord: Full Discord bot integration
• Telegram: Telegram bot adapter
• Slack: Slack workspace integration
• WhatsApp: WhatsApp Business API support
• Crisp: Live chat integration
• Custom adapters: Build your own platform adapters

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Custom adapter framework

• Standardized adapter interface
• Example Twitter adapter provided
• Event-driven architecture
• Message routing and context management

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Event subscriptions

• bot.created - New bot creation events
• bot.updated - Bot configuration changes
• bot.deleted - Bot deletion events
• chat.message - New chat message events
• subscriber.added - New subscriber capture
• training.added - Training data additions

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Security features

• HMAC SHA-256 signature verification
• x-boostgpt-signature header validation
• Secure event delivery
• Webhook testing with ngrok support

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Advanced chat parameters

• reasoning_mode: Choose from auto, standard, agent
• temperature: Control model creativity (0-1 range)
• model override: Change models per request
• provider_host: Self-hosted Ollama support
• provider_key: Bring Your Own Key (BYOK) for any provider
• source_ids: Target specific training sources
• memory control: Toggle agent memory per request

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Response customization

• Real-time streaming with stream parameter
• Token limit control with max_reply_tokens
• Instruction override per request
• Conversation context with chat_id

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Training capabilities

• Multiple source types: Text, websites, files, multiple URLs
• Status tracking: Monitor processing status (processing, success, failed)
• Token usage: Track tokens per training item
• Source management: Update and delete training data
• Website crawling: Train on entire domains

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Supported formats

• PDF documents
• Word documents (DOCX)
• Text files
• Markdown files
• CSV files
• PowerPoint presentations

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File upload functionality

• Added file upload capability to chatbot builder source management
• Users can now upload files directly within the source management feature
• Train your AI bot with local documents more efficiently

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Chat UI improvements

• Updated chat interface to display messages in bubbles
• Redesigned for more engaging and intuitive user experience
• Enhanced aesthetics and readability of chat feature

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Message retry functionality

• Implemented “failed to send. Retry” feature for chat messages
• Informative prompts when network issues prevent message delivery
• Option to retry sending failed messages
• Improved message delivery status visibility

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Network connectivity handling

• Event stream automatically stops when network connection is lost
• Prevents unnecessary data requests and reduces potential errors
• Smoother user experience during network interruptions
• Prevents data inconsistencies

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Build your own AI Assistant

• Create fully personalized AI Assistants
• Customize and configure according to specific requirements
• Enhanced flexibility and versatility

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Zapier integration

• Automate chatbot workflows with Zapier integration
• Seamless data exchange between chatbot and other applications
• Streamlined processes and improved productivity

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Subscriber list growth

• Leverage AI Assistant to grow subscriber lists
• Facilitate seamless interaction and engagement
• Enhanced subscription management capabilities

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bot/subscriber/readall endpoint

• New API endpoint to fetch all subscribers associated with a bot
• Retrieve comprehensive list of subscribers in a single request
• Streamlined method for accessing subscriber data
• Simplified subscriber information retrieval for analysis, management, and reporting

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bot/chat/readall endpoint

• Introducing chats pulling functionality for chatbots
• Effortlessly retrieve all chats in a bot
• Access valuable insights and information
• Enhance analysis and improve customer support
• Drive data-driven decisions

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bot/chat/read endpoint

• Chat history pulling functionality for specific static chat_id
• Effortlessly retrieve chat history
• Access past conversations for enhanced analysis
• Improve customer support with conversation insights
• Drive data-driven decisions

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bot/chat/delete endpoint

• Enable chat history deletion for specific static chat_id
• Users can reset conversations with the bot
• Enhanced user control over chat history
• Promotes fresh starts with the bot

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Response streaming control

• Added “stream” parameter to bot/chat endpoint
• Customize response delivery behavior
• Choose between partial progress updates or complete response
• Set stream to true for real-time updates or false to wait for complete response

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Conversational chat support

• Introduced chat_id parameter to bot/chat endpoint
• Engage with AI bot in conversational manner
• Maintain context across multiple messages
• Enhanced user experience with continuous conversations

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Multiple file link support

• Added support for multiple file links in bot training
• Updated source/create and source/update endpoints
• Train bots using wider variety of file sources
• Improved accuracy and effectiveness with diverse training data

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Supported file types

• CSV files
• PowerPoint presentations (PPT)
• Word documents (DOC)
• PDF documents
• Markdown files (MD)
• Text files (TXT)

{
  "project_id": "13c8cc4a-ddef-11ed-b5a3-33d8a09a24e3",
  "bot_id": "bc65f4aa-e41a-11ed-ad91-a2ce1f33a089",
  "tags": ["terms", "privacy"],
  "type": "file",
  "source": [
    "https://www.example.com/path-to-your-file.csv",
    "https://www.example.com/path-to-your-file.ppt",
    "https://www.example.com/path-to-your-file.doc",
    "https://www.example.com/path-to-your-file.pdf",
    "https://www.example.com/path-to-your-file.md",
    "https://www.example.com/path-to-your-file.txt"
  ]
}

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Multiple webpage link support

• Added support for multiple webpage links when training bots
• Updated source/create and source/update endpoints
• Enhanced training capabilities with multiple web sources
• Improved bot accuracy and response quality

{
  "project_id": "13c8cc4a-ddef-11ed-b5a3-33d8a09a24e3",
  "bot_id": "bc65f4aa-e41a-11ed-ad91-a2ce1f33a089",
  "tags": ["property", "rent"],
  "type": "webpage",
  "source": [
    "https://www.propertyfinder.ae/en/rent/properties-for-rent.html?page=7",
    "https://www.propertyfinder.ae/en/rent/properties-for-rent.html?page=6",
    "https://www.propertyfinder.ae/en/rent/properties-for-rent.html?page=4",
    "https://www.propertyfinder.ae/en/rent/properties-for-rent.html?page=2"
  ]
}