Multi-Agent Orchestration
TalkOps uses a distributed multi-agent architecture where specialized agents communicate via the A2A protocol, run on LangGraph's graph-based orchestration, and render results through the A2UI protocol.
Architecture Overview​
Three-Layer Communication Stack​
| Layer | Purpose |
|---|---|
| A2A | Standardized agent-to-agent communication |
| LangGraph | State management, routing, and parallel execution |
| A2UI | Rich native UI rendering instead of plain text |
Core Protocols​
A2A: Agent-to-Agent Protocol​
The A2A Protocol is an open standard (Google, Linux Foundation, 100+ partners) enabling secure agent communication via JSON-RPC 2.0 over HTTPS.
Key Features:
- Agent Cards for capability discovery
- OAuth 2.0 / API key authentication
- Multi-turn, stateful workflows
- Async operation support
📖 See A2A Protocol Reference for implementation details.
LangGraph: Orchestration Framework​
LangGraph by LangChain provides state machine orchestration using directed graphs with shared state, conditional routing, and checkpointing.
Key Features:
- Shared state across all agents
- Conditional routing logic
- Parallel execution paths
- Human-in-the-loop checkpoints
📖 See LangGraph Reference for patterns and examples.
A2UI: Agent-to-User Interface​
A2UI enables agents to generate safe, declarative JSON-based UIs that render as native components on any platform.
Key Features:
- Declarative JSON (no executable code)
- Platform-agnostic (React, Flutter, Vue)
- Progressive streaming
- Schema-validated security
📖 See A2UI Protocol Reference for component details.
Integrated Request Flow​
Routing Logic​
Supervisor Decision Process​
| Step | Action |
|---|---|
| 1. Intent Classification | Analyze request, identify domains |
| 2. Dependency Analysis | Determine execution order |
| 3. Agent Selection | Match capabilities via Agent Cards |
| 4. Route Construction | Build LangGraph execution DAG |
| 5. Parallel Execution | Execute independent paths via A2A |
Routing Examples​
| Request | Primary Agent | Dependencies |
|---|---|---|
| "Provision cloud" | Cloud | None |
| "Deploy app" | CI/CD | Cloud resources |
| "Add monitoring" | Monitoring | Targets exist |
| "Deploy + Monitor" | Supervisor | Cloud → CI/CD, Monitoring (parallel) |
Data Flow​
State Propagation​
Aggregation Patterns​
| Pattern | Use Case |
|---|---|
| Merge | Combine parallel results |
| Select | Choose one alternative |
| Filter | Pass only successful results |
| Transform | Reshape for downstream agent |
Error Handling​
| Error Type | Handling |
|---|---|
| Connection | Retry with backoff, fallback agent |
| Timeout | Partial results, async continuation |
| Auth Failure | Refresh token, re-authenticate |
| Agent Down | Discover fallback via Agent Cards |
Summary​
TalkOps Multi-Agent Orchestration combines:
| Component | Role |
|---|---|
| A2A Protocol | Standardized agent communication |
| LangGraph | State-based orchestration with DAGs |
| A2UI | Rich, secure UI generation |
This enables complex DevOps workflows with enterprise-grade reliability, security, and user experience.
Reference Documentation​
- 📖 A2A Protocol Reference - Full protocol specification
- 📖 LangGraph Reference - Patterns and implementation
- 📖 A2UI Protocol Reference - Component library