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AI Agents (A2A Integration)

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.

Overview​

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.

Key Benefits​

  • 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

What is A2A?​

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

Agent Types​

  • 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

Connecting Agents​

Prerequisites​

  • VibeXP account
  • A2A-compatible agent
  • Agent discovery URL (provided by agent developer)

Connection Steps​

  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)

Configuring Credentials​

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)

Creating Tasks​

Simple Task​

  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.

Starting Conversations​

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..."

Monitoring Execution​

Real-Time Status​

Watch agents work with live updates:

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

Event Streaming​

See detailed progress:

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

Execution History​

Review past executions:

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

Managing Conversations​

Resume Conversations​

Pick up where you left off:

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

All context is preserved automatically.

Conversation Features​

  • 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

Use Cases​

Code Review Agent​

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

Research Agent​

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

Documentation Agent​

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..."

Agent Configuration​

Transport Types​

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.

Timeout Settings​

Configure task timeouts:

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

Retry Configuration​

Set retry behavior for failed tasks:

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

Performance Monitoring​

Agent Metrics​

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

Usage Analytics​

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

Security and Privacy​

Credential Security​

  • 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

Data Privacy​

  • 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

Access Control​

  • User-Scoped: Agents only access your resources
  • Permission Management: Control what agents can do
  • Credential Rotation: Update credentials regularly

Troubleshooting​

Agent Connection Failed​

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

Task Execution Failed​

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

Slow Response Times​

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

Best Practices​

Task Design​

  • Be specific and clear in task descriptions
  • Provide necessary context upfront
  • Break complex workflows into smaller tasks
  • Set appropriate timeouts for task complexity

Conversation Management​

  • Use conversations for related work
  • Resume conversations to maintain context
  • Archive completed conversations regularly
  • Export important conversations for reference

Agent Selection​

  • Choose appropriate agent for task type
  • Test agents with simple tasks first
  • Monitor performance and success rates
  • Have backup agents for critical workflows

Security​

  • Use strong credentials for agents
  • Rotate credentials periodically
  • Revoke access for unused agents
  • Monitor agent activity regularly

Frequently Asked Questions​

What agents are compatible?​

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

Can I build my own agent?​

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

How many agents can I connect?​

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

Are conversations private?​

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

Can agents access my VibeXP data?​

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

What happens if an agent goes offline?​

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

Can I run agents on my own infrastructure?​

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

Support and Resources​