04-22

AI Agent knowledge source display:

• Display knowledge documents and tool calls simultaneously
• Tag mode, incorporating knowledge source localization, allowing single-click tracking to the specific location of referenced knowledge in the original document
• Support for viewing the full text of referenced documents

Knowledge base slicing optimization:

• Optimized knowledge base slicing display logic to enhance readability
• PDF, table, and docx documents now support locating the corresponding position in the original document and highlighting the corresponding section by selecting slices

Knowledge base upload - Tables:

• A "custom row split" function has been added for table-type files, allowing users to split according to specified row numbers

Agent integration:

• Support for the LINE platform, enabling the reception and recognition of user-sent messages, including text, images, audio, and documents

Logs:

• In Logs-Conversation, provides support for viewing user attribute information, including user ID, anonymous ID, email, and phone number

04-10

• Newly developed Workflow module: Build intelligent workflows for AI applications through a simple drag-and-drop operation on a canvas. Your workflows can either be integrated into AI agents as tools, or serve as standalone APIs for seamless integration with any external program or system.

• Feature optimization:

  1. Upgraded all integration channels to V2 API, supporting conversation interruption mode.
  2. The model service protocol now supports OpenRouter services, enhancing LLM service stability.
  3. Voice message now supports 90s duration.
  4. Added support for automatic capture of message timestamps, enhancing LLM's temporal awareness during interactions.

03-28

• Supports customizing "Receive message type" in "Human handoff" for both Agent and FlowAgent.
• Supports setting "Receive message type" seperately for AI Agent interaction and Human handoff interaction.

03-26

• Variable usage: Supports the use of system predefined variables in agent configurations (prompts, Flow components, welcome messages, etc.), including global attributes (conversation ID, user ID, etc.), browser attributes (browser name, time zone, etc.), and third-party application attributes (WhatsApp, Telegram, and LiveChat client-related attributes, such as user ID, conversation ID, etc.). This helps maximize the agent's capabilities in different scenarios.

03-21

• When entering live chat for manual service through the Bubble Widget, users are allowed to send and receive text messages, audio messages, image messages, and document messages.
• The Bubble Widget supports uploading customized images to showcase the company's branding or background within the chat interface.

03-17

• Knowledge base/database supports global and knowledge base-level granularity permission configuration, improving data permission management efficiency.
• Optimized the display logic of knowledge base ID and data table ID.
• Inference models allow custom settings for reasoning depth and control over the display of the inference process, enhancing the interaction effects of the displayed content.
• The Webhook V2 version of the Dialogue - Send Message V2 API has been released, supporting audio messages, text messages, and detailed data on points and token consumption.

02-28

• The human service function module supports customizable prompt messages and multi-language configuration. The front end automatically adapts the display information based on the browser language.
• Optimized the bubble avatar display to a circular shape.
• Supports OpenAI project key authentication scheme.
• Released AI Agent Dialogue API V2, supporting text, audio, image, and document message types, including token and credit consumption details.
• Integration: Enables the agent to be integrated into Facebook Messenger and Instagram. Facebook and Instagram users can seamlessly interact with the agent through text, images, and voice.
• Supports OpenAI GPT 4.5 version & Anthropic Claude Sonnet 3.7 version.

02-17

• Support OpenAI Audio LLM, allowing users to input voice and directly reply with voice messages, eliminating the need for ASR and TTS.
• Text and voice conversations now support an "interruptible conversation mode," allowing users to send multiple messages in a short time while receiving a single response message, enhancing the user experience.

01-09

Agent Insights

Insights: Help Agent developers observe Agent usage through data visualization charts.

• Real-time: Agent usage for the current day.
• Effectiveness: Metrics related to issue resolution effectiveness, manual intervention, user sentiment analysis, etc.
• Usage: Usage of credits and tokens.
• Users: Metrics such as user count, new users, active users, etc.
• Behavior: Metrics related to conversations, interactions, etc.
• Health: Metrics such as response speed, errors, and requests per minute.