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AI Agents (A2A)

Connect, automate, and scale with AI agents using the Agent-to-Agent (A2A) protocol. Integrate any A2A-compatible agent and manage autonomous AI workflows directly from VibeXP.

A2A (Agent-to-Agent) is an open protocol that enables AI agents to communicate and collaborate with platforms like VibeXP. Connect autonomous agents, assign tasks, track execution in real-time, and maintain persistent conversations.

  • Universal Support: Any A2A-compatible agent works
  • Real-Time Monitoring: Watch agents work with live updates
  • Persistent Conversations: Resume chats anytime with full context
  • Task Management: Create, monitor, and review executions
  • Secure Credentials: Encrypted storage for agent authentication

A2A is an open standard for AI agent communication that defines:

  • Agent Capabilities: What agents can do
  • Task Execution: How to delegate work
  • Streaming Updates: Real-time progress reporting
  • Conversation Management: Multi-turn interactions
  • Research Agents: Autonomous research and data gathering
  • Code Assistants: Code review, generation, and documentation
  • Data Analysis: Automated processing and report generation
  • Content Creation: Writing, editing, and optimization
  • Workflow Automation: End-to-end process automation
  • Task Management: Intelligent coordination and planning
  • VibeXP account
  • A2A-compatible agent
  • Agent discovery URL (provided by agent developer)
  1. Navigate to AI Agents in the sidebar
  2. Click Connect New Agent
  3. Enter agent details:
    • Discovery URL: Agent’s A2A endpoint
    • Name: Friendly name for reference
    • Description: What the agent does (optional)
  4. Click Connect

VibeXP automatically:

  • Fetches the agent card
  • Validates capabilities
  • Configures the connection
  • Checks supported transports (HTTP, SSE, WebSocket)

If your agent requires authentication:

  1. Open the connected agent
  2. Click Configure Credentials
  3. Enter required credentials:
    • API keys
    • Access tokens
    • Custom authentication data
  4. Save securely (encrypted storage)
  1. Select a connected agent
  2. Click New Task
  3. Enter your task description
  4. Click Send

Example:

Analyze this codebase and identify performance bottlenecks in the API layer.

For multi-turn interactions:

  1. Select agent
  2. Click Start Conversation
  3. Send your first message
  4. Continue the conversation with follow-ups

Example conversation:

You: "Review the authentication module for security issues"
Agent: "I found 3 potential issues..."
You: "Focus on the token validation logic"
Agent: "Analyzing token validation..."

Watch agents work with live updates:

  • Thinking: Agent is processing
  • Working: Executing the task
  • Streaming Results: Sending updates
  • Completed: Task finished
  • Failed: Encountered error

See detailed progress:

  • Status changes
  • Intermediate results
  • Progress indicators
  • Tool usage
  • Errors and warnings

Review past executions:

  • Full conversation history
  • Timestamps and duration
  • Success/failure status
  • Performance metrics
  • Error details

Pick up where you left off:

  1. Navigate to AI AgentsConversations
  2. Select a conversation
  3. Click Resume
  4. Continue from last message

All context is preserved automatically.

  • Context Preservation: Full history maintained
  • Multi-Turn: Complex workflows with back-and-forth
  • Branching: Start new topics from any point
  • Export: Save conversations for reference
Agent: code-reviewer
Task: "Review PR #123 for security issues"
Agent Actions:
1. Fetches PR diff
2. Analyzes code changes
3. Checks security patterns
4. Generates review comments
5. Creates summary report
Agent: research-assistant
Task: "Research best practices for React performance optimization"
Agent Actions:
1. Searches multiple sources
2. Analyzes information
3. Summarizes findings
4. Provides recommendations
5. Cites sources
Agent: doc-generator
Conversation:
You: "Generate API documentation for the user service"
Agent: "Analyzing user service code..."
Agent: "Documentation generated. Should I include examples?"
You: "Yes, include examples for authentication endpoints"
Agent: "Adding examples..."

Agents can use different communication methods:

  • HTTP: Request/response pattern
  • SSE (Server-Sent Events): Server push for streaming
  • WebSocket: Full duplex communication

VibeXP automatically uses the best available transport.

Configure task timeouts:

  • Short Tasks: 30 seconds - 5 minutes
  • Medium Tasks: 5 - 30 minutes
  • Long Tasks: 30 minutes - 2 hours

Set retry behavior for failed tasks:

  • No Retry: Fail immediately
  • Auto Retry: Retry with exponential backoff
  • Manual Retry: You decide when to retry

Track agent performance:

  • Success Rate: Percentage of successful tasks
  • Average Duration: Mean execution time
  • Error Rate: Failed tasks percentage
  • Response Time: Time to first response

Monitor usage patterns:

  • Most Used Agents: Popular agents in your workspace
  • Task Distribution: Types of tasks requested
  • Time Patterns: Peak usage times
  • Resource Usage: API calls and compute time
  • Encrypted Storage: All credentials encrypted at rest
  • Secure Transmission: HTTPS for all communication
  • User Isolation: Your agents never access other users’ data
  • Revocable Access: Delete credentials anytime
  • Private by Default: Agent conversations are private
  • No Sharing: Data not shared with other users
  • Audit Logs: Complete record of agent actions
  • Data Retention: Control how long data is kept
  • User-Scoped: Agents only access your resources
  • Permission Management: Control what agents can do
  • Credential Rotation: Update credentials regularly

Problem: Cannot connect to agent

Solutions:

  • Verify discovery URL is correct
  • Check agent is online and accessible
  • Ensure agent supports A2A protocol
  • Try again after a few minutes

Problem: Agent returns error

Solutions:

  • Review error message for details
  • Check agent credentials are valid
  • Verify task requirements are met
  • Try simpler task to test connection
  • Contact agent developer for support

Problem: Agent takes too long

Solutions:

  • Check agent status and load
  • Verify network connection
  • Try during off-peak hours
  • Consider using different agent
  • Increase timeout settings
  • Be specific and clear in task descriptions
  • Provide necessary context upfront
  • Break complex workflows into smaller tasks
  • Set appropriate timeouts for task complexity
  • Use conversations for related work
  • Resume conversations to maintain context
  • Archive completed conversations regularly
  • Export important conversations for reference
  • Choose appropriate agent for task type
  • Test agents with simple tasks first
  • Monitor performance and success rates
  • Have backup agents for critical workflows
  • Use strong credentials for agents
  • Rotate credentials periodically
  • Revoke access for unused agents
  • Monitor agent activity regularly

Any agent implementing the A2A protocol specification. This includes custom agents, third-party agents, and specialized domain agents.

Yes! Follow the A2A protocol specification to build custom agents that integrate with VibeXP.

Unlimited. Connect as many A2A-compatible agents as needed for your workflows.

Yes. All agent conversations are private to your account and encrypted in storage and transit.

Only if explicitly configured. Agents can be given access to specific resources through secure authentication.

Active tasks will fail with timeout errors. You can retry once the agent is back online.

Can I run agents on my own infrastructure?

Section titled “Can I run agents on my own infrastructure?”

Yes! Build and host custom A2A agents on your infrastructure and connect them to VibeXP.