The Studio Build Path offers a low-code, GUI-driven experience for designing, configuring, and deploying AI agents in Lyzr. It guides you through each stage using intuitive interfaces and wizards, enabling rapid prototyping and iteration without writing a single line of code.

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Lyzr Studio (No-Code Agent Builder)

Lyzr Studio is the ideal entry point for users who want to build intelligent agents without deep technical knowledge. It offers:
  • Intuitive UI: Drag-and-drop components and guided steps for agent creation.
  • Agent Customization: Define agent roles, instructions, and personalities to tailor behavior.
  • Tool Integration: Add capabilities like email sending, database queries, and third-party APIs.
  • Knowledge Base Connection: Enhance agents with domain-specific content for accurate responses.
  • Real-Time Testing: Interactively test your agents within the Studio interface.
  • One-Click Deployment: Publish agents to the marketplace or generate API keys for external use.
This makes Lyzr Studio perfect for product managers, customer support teams, and AI enthusiasts who want to launch smart agents quickly and efficiently.

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Key Steps

  1. Project Initialization
    • In the Studio, click Build Agent.
  2. Data Connector Setup
    • Navigate to Data Connectors in the Project dashboard.
    • Click Add Connector, choose a source (databases, file uploads), and fill in connection details.
    • Test connectivity to ensure credentials and network settings are correct.
  3. Knowledge Base Configuration
    • Go to Knowledge Bases and click Create KB.
    • Provide a name, description, and select the vector database backend.
    • Upload documents (PDF, DOCX, CSV, JSON) or link to external sources.
    • Let the Studio auto-select parsers, chunk content, generate embeddings, and index data.
    • Configure Responsible AI settings (facts, reflection, groundedness, context relevance) under Safety & Responsibility.
    • Attach custom tools by browsing the Tools section or adding new ones via Create Tool.
  4. Testing & Iteration
    • Open the Simulator to enter test prompts and observe responses in real time.
    • Adjust retrieval parameters (number of chunks, score threshold) and safety settings to refine output.
    • Monitor logs and analytics in the Insights tab to identify errors and optimize performance.
  5. Deployment & Management
    • When ready, click Publish to deploy your agent.
    • Manage agent versions, set environment variables, and assign access controls in Settings.
    • Track usage, error rates, and user feedback through the Dashboard, iterating as needed.