561 lines
15 KiB
Markdown
561 lines
15 KiB
Markdown
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# Multi-Agent Orchestration
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General Bots supports sophisticated multi-agent systems where multiple specialized bots collaborate to handle complex tasks. This chapter covers the architecture, keywords, and best practices for building multi-agent solutions.
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## Overview
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Multi-agent orchestration enables:
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- **Task specialization** - Each bot focuses on what it does best
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- **Collaborative problem-solving** - Bots work together on complex tasks
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- **Scalable architectures** - Add new specialists without modifying existing bots
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- **Resilient systems** - Failures are isolated and handled gracefully
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## Architecture
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```
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┌─────────────────────────────────────────────────────────────┐
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│ Multi-Agent System │
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├─────────────────────────────────────────────────────────────┤
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│ │
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│ ┌──────────┐ A2A Protocol ┌──────────┐ │
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│ │ │◄──────────────────►│ │ │
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│ │ Sales │ │ Support │ │
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│ │ Bot │ ┌──────────┐ │ Bot │ │
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│ │ │◄──►│ │◄──►│ │ │
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│ └──────────┘ │ Billing │ └──────────┘ │
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│ │ Bot │ │
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│ ┌──────────┐ │ │ ┌──────────┐ │
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│ │ │◄──►└──────────┘◄──►│ │ │
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│ │ Research │ │ Analytics│ │
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│ │ Bot │ │ Bot │ │
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│ │ │ │ │ │
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│ └──────────┘ └──────────┘ │
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│ │
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└─────────────────────────────────────────────────────────────┘
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```
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## Core Keywords
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### ADD BOT
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Adds a bot to the current session with optional triggers and tools.
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```basic
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' Add a bot with keyword triggers
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ADD BOT "billing-bot" TRIGGER ON "billing,invoice,payment"
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' Add a bot with tool access
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ADD BOT "analyst-bot" TOOLS "calculate,forecast,report"
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' Add a bot with scheduled tasks
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ADD BOT "monitor-bot" SCHEDULE "0 */1 * * *"
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```
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### DELEGATE TO BOT
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Sends a task to another bot and optionally waits for response.
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```basic
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' Fire-and-forget delegation
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DELEGATE "Process this order" TO BOT "order-processor"
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' Get response from delegation
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result = DELEGATE "Calculate total for items" TO BOT "calculator-bot"
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TALK "Total: " + result
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' Delegation with timeout
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result = DELEGATE "Analyze report" TO BOT "analyst-bot" TIMEOUT 60
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```
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### BROADCAST TO BOTS
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Sends a message to all bots in the session.
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```basic
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' Notify all bots of an event
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BROADCAST "New customer signup: " + customerid TO BOTS
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' Emergency shutdown signal
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BROADCAST "SHUTDOWN" TO BOTS
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```
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### TRANSFER CONVERSATION
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Hands off the entire conversation to another bot.
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```basic
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' Transfer to specialist
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TALK "Let me connect you with our billing specialist."
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TRANSFER CONVERSATION TO "billing-bot"
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' Transfer with context
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SET CONTEXT "issue" AS "refund request"
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SET CONTEXT "amount" AS "$150"
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TRANSFER CONVERSATION TO "refunds-bot"
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```
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## A2A Protocol
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The Agent-to-Agent (A2A) protocol handles all inter-bot communication.
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### Message Types
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| Type | Description | Use Case |
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|------|-------------|----------|
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| `Request` | Ask bot to perform task | Task delegation |
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| `Response` | Reply to a request | Return results |
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| `Broadcast` | Message to all bots | Notifications |
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| `Delegate` | Hand off task | Specialization |
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| `Collaborate` | Joint task | Team work |
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### Message Structure
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```basic
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' A2A messages contain:
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' - from_agent: Source bot ID
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' - to_agent: Target bot ID
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' - message_type: Request, Response, etc.
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' - payload: The actual content
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' - correlation_id: Links request/response
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' - timestamp: When sent
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```
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### Configuration
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```csv
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name,value
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a2a-enabled,true
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a2a-timeout,30
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a2a-max-hops,5
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a2a-retry-count,3
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a2a-queue-size,100
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```
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| Option | Default | Description |
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|--------|---------|-------------|
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| `a2a-enabled` | `true` | Enable A2A communication |
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| `a2a-timeout` | `30` | Default timeout (seconds) |
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| `a2a-max-hops` | `5` | Maximum delegation chain depth |
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| `a2a-retry-count` | `3` | Retries on failure |
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| `a2a-queue-size` | `100` | Max pending messages |
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## Memory Management
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### User Memory (Cross-Bot)
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User memory is accessible across all bots, enabling seamless personalization.
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```basic
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' In any bot - store user preference
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SET USER MEMORY "language", "pt-BR"
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SET USER MEMORY "timezone", "America/Sao_Paulo"
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' In any other bot - retrieve preference
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language = GET USER MEMORY("language")
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TALK "Olá!" IF language = "pt-BR"
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```
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### Bot Memory (Per-Bot)
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Bot memory is isolated to each bot for bot-specific state.
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```basic
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' In sales-bot
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SET BOT MEMORY "deals_closed", dealscount
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' In support-bot (different memory space)
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SET BOT MEMORY "tickets_resolved", ticketcount
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```
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### Session Memory (Temporary)
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Session memory is shared within a conversation session.
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```basic
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' Store in session
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SET "current_topic", "billing"
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' Available to all bots in session
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topic = GET "current_topic"
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```
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### Memory Scope Comparison
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| Memory Type | Scope | Persistence | Use Case |
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|-------------|-------|-------------|----------|
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| User Memory | Per user, all bots | Permanent | Preferences, profile |
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| Bot Memory | Per bot, all users | Permanent | Bot state, counters |
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| Session Memory | Per session | Session lifetime | Current context |
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## Model Routing
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Different bots can use different models optimized for their tasks.
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### USE MODEL Keyword
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```basic
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' In customer service bot - use quality model
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USE MODEL "quality"
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' In quick-answer bot - use fast model
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USE MODEL "fast"
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' In code helper bot - use code model
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USE MODEL "code"
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' Let system decide
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USE MODEL "auto"
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```
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### Model Routing Strategies
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| Strategy | Description |
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|----------|-------------|
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| `manual` | Explicit model selection only |
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| `auto` | System chooses based on query |
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| `load-balanced` | Distribute for throughput |
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| `fallback` | Try models in order |
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### Configuration
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```csv
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name,value
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model-routing-strategy,auto
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model-default,fast
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model-fast,DeepSeek-R1-Distill-Qwen-1.5B-Q3_K_M.gguf
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model-quality,gpt-4
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model-code,codellama-7b.gguf
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```
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## Hybrid RAG Search
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Multi-agent systems benefit from shared knowledge bases with advanced search.
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### Configuration
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```csv
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name,value
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rag-hybrid-enabled,true
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rag-dense-weight,0.7
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rag-sparse-weight,0.3
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rag-reranker-enabled,true
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```
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### How It Works
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1. **Dense Search** - Semantic/vector similarity (0.7 weight)
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2. **Sparse Search** - BM25 keyword matching (0.3 weight)
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3. **Fusion** - Reciprocal Rank Fusion combines results
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4. **Reranking** - Optional LLM reranking for quality
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```basic
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' Hybrid search is automatic when enabled
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USE KB "company-knowledge"
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result = FIND "customer refund policy"
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' Returns results using both semantic and keyword matching
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```
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## Code Sandbox
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Bots can execute code in isolated sandboxes for data processing.
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### Supported Languages
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```basic
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' Python for data science
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result = RUN PYTHON "
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import pandas as pd
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df = pd.DataFrame({'a': [1,2,3]})
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print(df.sum().to_json())
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"
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' JavaScript for JSON processing
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result = RUN JAVASCRIPT "
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const data = {items: [1,2,3]};
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console.log(JSON.stringify(data.items.map(x => x * 2)));
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"
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' Bash for system tasks
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result = RUN BASH "ls -la /data"
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```
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### Sandbox Configuration
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```csv
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name,value
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sandbox-runtime,lxc
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sandbox-timeout,30
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sandbox-memory-mb,512
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sandbox-cpu-percent,50
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sandbox-network,false
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```
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### Runtimes
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| Runtime | Security | Performance | Requirements |
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|---------|----------|-------------|--------------|
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| LXC | High | Excellent | LXC installed |
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| Docker | High | Good | Docker daemon |
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| Firecracker | Highest | Good | Firecracker |
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| Process | Low | Best | None (fallback) |
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## Agent Reflection
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Bots can self-analyze and improve through reflection.
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### Enable Reflection
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```basic
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' Enable self-reflection
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BOT REFLECTION true
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' Monitor specific metrics
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BOT REFLECTION ON "conversation_quality"
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BOT REFLECTION ON "response_accuracy"
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```
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### Get Insights
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```basic
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' Retrieve reflection analysis
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insights = BOT REFLECTION INSIGHTS()
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PRINT "Quality Score: " + insights.qualityScore
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PRINT "Issues: " + insights.issuesCount
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FOR EACH suggestion IN insights.suggestions
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PRINT "Suggestion: " + suggestion
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NEXT suggestion
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```
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### Reflection Metrics
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| Metric | Description |
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|--------|-------------|
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| `conversation_quality` | Overall conversation effectiveness |
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| `response_accuracy` | Correctness of responses |
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| `user_satisfaction` | Estimated user satisfaction |
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| `tone_appropriateness` | Tone matches context |
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| `resolution_rate` | Issues successfully resolved |
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## SSE Streaming
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Real-time streaming for responsive multi-agent UIs.
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### Enable Streaming
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```csv
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name,value
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sse-enabled,true
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sse-heartbeat,30
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sse-max-connections,1000
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```
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### Client Integration
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```javascript
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// Connect to SSE endpoint
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const eventSource = new EventSource('/api/chat/stream?session=' + sessionId);
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eventSource.onmessage = (event) => {
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const data = JSON.parse(event.data);
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if (data.type === 'token') {
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// Streaming token
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appendToMessage(data.content);
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} else if (data.type === 'bot_switch') {
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// Different bot responding
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showBotIndicator(data.botName);
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} else if (data.type === 'complete') {
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// Response complete
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finalizeMessage();
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}
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};
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```
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## Patterns and Best Practices
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### Router Pattern
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A central router bot directs queries to specialists.
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```basic
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' router-bot/start.bas
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HEAR userquery
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' Classify the query
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category = LLM "Classify into: billing, technical, sales, general. Query: " + userquery
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SWITCH category
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CASE "billing"
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result = DELEGATE userquery TO BOT "billing-bot"
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CASE "technical"
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result = DELEGATE userquery TO BOT "tech-bot"
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CASE "sales"
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result = DELEGATE userquery TO BOT "sales-bot"
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CASE ELSE
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result = LLM userquery
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END SWITCH
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TALK result
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```
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### Expert Panel Pattern
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Multiple bots provide perspectives on complex questions.
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```basic
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' Get input from multiple experts
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question = "Should we expand into the European market?"
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marketAnalysis = DELEGATE question TO BOT "market-analyst"
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financialView = DELEGATE question TO BOT "finance-expert"
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|
riskAssessment = DELEGATE question TO BOT "risk-assessor"
|
||
|
|
|
||
|
|
' Synthesize responses
|
||
|
|
synthesis = LLM "Synthesize these expert opinions into a recommendation:
|
||
|
|
Market: " + marketAnalysis + "
|
||
|
|
Finance: " + financialView + "
|
||
|
|
Risk: " + riskAssessment
|
||
|
|
|
||
|
|
BEGIN TALK
|
||
|
|
**Expert Panel Summary**
|
||
|
|
|
||
|
|
📊 **Market Analysis:** {marketAnalysis}
|
||
|
|
|
||
|
|
💰 **Financial View:** {financialView}
|
||
|
|
|
||
|
|
⚠️ **Risk Assessment:** {riskAssessment}
|
||
|
|
|
||
|
|
📋 **Recommendation:** {synthesis}
|
||
|
|
END TALK
|
||
|
|
```
|
||
|
|
|
||
|
|
### Escalation Pattern
|
||
|
|
|
||
|
|
Automatic escalation when bot can't handle query.
|
||
|
|
|
||
|
|
```basic
|
||
|
|
' First-line support bot
|
||
|
|
confidence = LLM "Rate your confidence (0-100) in answering: " + userquery
|
||
|
|
|
||
|
|
IF confidence < 50 THEN
|
||
|
|
' Escalate to specialist
|
||
|
|
TALK "Let me connect you with a specialist who can better help."
|
||
|
|
SET CONTEXT "escalation_reason" AS "low_confidence"
|
||
|
|
SET CONTEXT "original_query" AS userquery
|
||
|
|
TRANSFER CONVERSATION TO "senior-support-bot"
|
||
|
|
ELSE
|
||
|
|
' Handle normally
|
||
|
|
response = LLM userquery
|
||
|
|
TALK response
|
||
|
|
END IF
|
||
|
|
```
|
||
|
|
|
||
|
|
### Supervisor Pattern
|
||
|
|
|
||
|
|
A supervisor bot monitors and coordinates workers.
|
||
|
|
|
||
|
|
```basic
|
||
|
|
' supervisor-bot/monitor.bas
|
||
|
|
SET SCHEDULE "*/5 * * * *" ' Run every 5 minutes
|
||
|
|
|
||
|
|
' Check all worker bots
|
||
|
|
workers = ["processor-1", "processor-2", "processor-3"]
|
||
|
|
|
||
|
|
FOR EACH worker IN workers
|
||
|
|
status = DELEGATE "HEALTH_CHECK" TO BOT worker TIMEOUT 10
|
||
|
|
|
||
|
|
IF status = "" OR status = "ERROR" THEN
|
||
|
|
' Worker unresponsive
|
||
|
|
SEND MAIL admin, "Bot Alert", worker + " is unresponsive"
|
||
|
|
DELEGATE "RESTART" TO BOT "bot-manager"
|
||
|
|
END IF
|
||
|
|
NEXT worker
|
||
|
|
```
|
||
|
|
|
||
|
|
## Database Schema
|
||
|
|
|
||
|
|
Multi-agent systems use several database tables:
|
||
|
|
|
||
|
|
### a2a_messages
|
||
|
|
|
||
|
|
Stores inter-agent communication.
|
||
|
|
|
||
|
|
| Column | Type | Description |
|
||
|
|
|--------|------|-------------|
|
||
|
|
| `id` | UUID | Message ID |
|
||
|
|
| `from_agent` | VARCHAR | Sender bot ID |
|
||
|
|
| `to_agent` | VARCHAR | Recipient bot ID |
|
||
|
|
| `message_type` | VARCHAR | Request, Response, etc. |
|
||
|
|
| `payload` | JSONB | Message content |
|
||
|
|
| `correlation_id` | UUID | Links request/response |
|
||
|
|
| `status` | VARCHAR | pending, delivered, failed |
|
||
|
|
| `created_at` | TIMESTAMP | When created |
|
||
|
|
|
||
|
|
### user_memory
|
||
|
|
|
||
|
|
Stores cross-bot user data.
|
||
|
|
|
||
|
|
| Column | Type | Description |
|
||
|
|
|--------|------|-------------|
|
||
|
|
| `user_id` | UUID | User identifier |
|
||
|
|
| `key` | VARCHAR | Memory key |
|
||
|
|
| `value` | JSONB | Stored value |
|
||
|
|
| `memory_type` | VARCHAR | preference, fact, context |
|
||
|
|
| `ttl` | TIMESTAMP | Optional expiration |
|
||
|
|
|
||
|
|
### agent_reflections
|
||
|
|
|
||
|
|
Stores reflection analysis results.
|
||
|
|
|
||
|
|
| Column | Type | Description |
|
||
|
|
|--------|------|-------------|
|
||
|
|
| `id` | UUID | Reflection ID |
|
||
|
|
| `bot_id` | UUID | Bot that was analyzed |
|
||
|
|
| `conversation_id` | UUID | Analyzed conversation |
|
||
|
|
| `quality_score` | FLOAT | Overall quality (0-1) |
|
||
|
|
| `insights` | JSONB | Analysis details |
|
||
|
|
| `created_at` | TIMESTAMP | When analyzed |
|
||
|
|
|
||
|
|
## Troubleshooting
|
||
|
|
|
||
|
|
### Bot Not Responding to Delegation
|
||
|
|
|
||
|
|
1. Check bot is registered: `LIST BOTS`
|
||
|
|
2. Verify A2A is enabled: `a2a-enabled,true`
|
||
|
|
3. Check timeout is sufficient
|
||
|
|
4. Review bot logs for errors
|
||
|
|
|
||
|
|
### Memory Not Sharing Between Bots
|
||
|
|
|
||
|
|
1. Ensure using `SET USER MEMORY` not `SET BOT MEMORY`
|
||
|
|
2. Check `user-memory-enabled,true`
|
||
|
|
3. Verify same user identity across bots
|
||
|
|
|
||
|
|
### Circular Delegation Detected
|
||
|
|
|
||
|
|
1. Review delegation chains
|
||
|
|
2. Increase `a2a-max-hops` if legitimately deep
|
||
|
|
3. Add guards to prevent loops:
|
||
|
|
|
||
|
|
```basic
|
||
|
|
hops = GET "delegation_hops"
|
||
|
|
IF hops > 3 THEN
|
||
|
|
TALK "I'll handle this directly."
|
||
|
|
' Don't delegate further
|
||
|
|
ELSE
|
||
|
|
SET "delegation_hops", hops + 1
|
||
|
|
DELEGATE task TO BOT "specialist"
|
||
|
|
END IF
|
||
|
|
```
|
||
|
|
|
||
|
|
## See Also
|
||
|
|
|
||
|
|
- [ADD BOT Keyword](../chapter-06-gbdialog/keyword-add-bot.md)
|
||
|
|
- [DELEGATE TO BOT Keyword](../chapter-06-gbdialog/keyword-delegate-to-bot.md)
|
||
|
|
- [Memory Management](./memory-management.md)
|
||
|
|
- [Model Routing](../chapter-08-config/llm-config.md)
|
||
|
|
- [Code Sandbox](../chapter-07-gbapp/containers.md)
|
||
|
|
- [SSE Streaming](./streaming.md)
|