Multi Agent Collaboration
Agents in Pika can collaborate with other agents to handle complex tasks that require multiple areas of expertise. This enables sophisticated multi-agent workflows while maintaining clear accountability and traceability.
Primary Use Case: The Universal Chat App
The most powerful application of multi-agent collaboration is creating one comprehensive chat app that can handle inquiries across your entire organization's domains. Here's how it works:
- Single Entry Point: Users interact with one chat app, not dozens of specialized ones
- Intelligent Routing: The supervisor agent automatically determines which specialists to consult
- Seamless Experience: Users get expert answers without knowing which agents were involved
- Complete Coverage: Handle everything from HR questions to technical support to financial analysis
Example: Enterprise Assistant
User: "What's our Q4 revenue and do we have the technical capacity to scale our API?"
Supervisor Agent:
├── Consults Financial Agent → "Q4 revenue was $2.3M, up 15% YoY"
├── Consults Technical Agent → "Current API can handle 50% more load, scaling recommended"
└── Integrates responses → Provides comprehensive answer covering both domainsThis eliminates the need to create separate chat apps for Finance, Engineering, HR, Sales, etc. Instead, you have one intelligent assistant that routes questions to the right specialists automatically.
How multi-agent collaboration works
- Supervisor Mode: A primary agent orchestrates the conversation and delegates specific tasks to specialist collaborators
- Specialized Roles: Each collaborator agent has its own prompt, tools, and knowledge bases optimized for specific domains
- Seamless Integration: Collaborator responses are post-processed and integrated into the main conversation flow
- Full Transparency: All collaborator invocations are visible in traces, showing which agent handled what
Key capabilities
Multi-Agent Orchestration
Configure a primary agent to work with specialized collaborators:
- Domain Experts: Route financial questions to a finance agent, technical questions to a dev agent
- Task Delegation: Break down complex requests across multiple specialist agents
- Context Sharing: Control what conversation history each collaborator receives
Flexible Collaboration Patterns
- SUPERVISOR Mode: Primary agent manages the conversation and calls collaborators as needed
- History Relay: Choose whether collaborators see the full conversation (
TO_COLLABORATOR) or just the current task (TO_AGENT) - Post-Processing: Transform and integrate collaborator responses before returning to users
Complete Traceability
- Collaborator Traces: See exactly which agent was invoked and with what parameters
- Response Processing: View how collaborator outputs were transformed and integrated
- Performance Metrics: Track usage and costs across all agents in the collaboration
Use cases
Expert Consultation
Route specialized queries to domain experts while maintaining a unified user experience.
Complex Problem Solving
Break down multi-step problems across agents with different tools and knowledge bases.
Quality Assurance
Use collaborators for verification, fact-checking, or response enhancement.
Workflow Automation
Orchestrate multi-step business processes across different functional areas.
Keep collaborator roles focused and well-defined. Clear specialization makes the system more maintainable and helps users understand why different agents were involved.
Multi-agent collaboration adds latency and cost. Design your collaboration patterns thoughtfully, and use traces to monitor performance across your multi-agent workflows.