# Multi Session

**Use Case Overview**

**Scenario**: Banking Customer Support Portal\
**Key Requirements**:

* Isolated sessions for 10,000+ concurrent users
* Session-specific context retention (30-day TTL)
* Cross-session analytics for trend detection

***

#### **Prerequisites**

* AgentGPT SDK ≥3.0 (supports session-aware agents)
* Redis cluster (for session state management)
* **Advanced Developer Permissions** (`session:create`, `session:monitor`)

***

#### **1. Session Manager Architecture**

**System Components:**

```python
from agentgpt import SessionManager, Agent, Session
from agentgpt.security import SessionEncryptor

class SupportSessionManager(SessionManager):
    def __init__(self):
        super().__init__(
            max_concurrent_sessions=10_000,
            session_ttl=2592000  # 30 days in seconds
        )
        self.encryptor = SessionEncryptor(key_arn="aws:kms:eu-1a")
        
        # Pre-warm agent pools
        self.nlp_agents = AgentPool(
            agent_class=NLPAgent,
            min_ready=50,
            max_connections=100
        )

    async def create_session(self, user_id: str) -> Session:
        """Initialize encrypted session"""
        session = Session(
            id=generate_session_id(user_id),
            context_store=RedisContextStore(),
            encryption=self.encryptor
        )
        
        # Attach session-scoped NLP agent
        session.attach_agent(
            await self.nlp_agents.checkout(),
            capabilities=["sentiment_analysis", "intent_detection"]
        )
        
        return session
```

***

#### **2. Handling Concurrent Sessions**

**Thread-Safe Session Handling:**

```python
import asyncio
from agentgpt.locks import DistributedLock

async def handle_session(session_id: str, user_input: str):
    async with DistributedLock(resource=f"session_{session_id}"):
        session = await SupportSessionManager().load_session(session_id)
        
        # Process input through session-bound agent
        response = await session.agents[0].process(
            input=user_input,
            context=session.context
        )
        
        # Update cross-session analytics
        await update_global_analytics(session.metadata)
        
        return response

# Simulate 3 parallel sessions
inputs = [
    {"session": "sess_01", "text": "I forgot my password"},
    {"session": "sess_02", "text": "Wire transfer to IBAN DE8937..."},
    {"session": "sess_03", "text": "Card blocked in foreign country"}
]

results = asyncio.gather(
    handle_session(s["session"], s["text"]) for s in inputs
)
```

***

#### **3. Session Persistence Configuration**

**Redis State Management:**

```yaml
# conf/session-store.yaml
session_storage:
  engine: redis
  config:
    cluster_mode: true
    nodes:
      - redis-1.agent-gpt.io:6379
      - redis-2.agent-gpt.io:6379
    tls: true
    compression: zstd
    data_retention:
      default: 30d
      sensitive: 7d  # GDPR-compliance for PII
```

Apply configuration:

```bash
agentgpt session store init -f conf/session-store.yaml
```

***

#### **4. Monitoring Multi-Session Performance**

**Real-Time Session Dashboard:**

```bash
agentgpt session monitor --severity=prod --stream
```

**Output**:

```
ACTIVE SESSIONS: 9,432 | AVG LATENCY: 142ms  
TOP CONCERN TOPICS:
1. Password reset (43%)
2. Fraud alerts (29%)
3. Loan inquiries (18%)

CRITICAL ALERTS:
- Session "sess_9a3c": 3 failed auth attempts
```

***

#### **5. Security & Compliance Features**

1. **Session Isolation**:

```python
# Enable hardware-enforced isolation
session.enable_isolated_runtime(
    runtime="firecracker",
    cpu_guarantee=0.5  # vCPU cores per session
)
```

2. **End-to-End Encryption**:

```python
session.apply_encryption(
    protocol="double_ratchet",
    key_rotation="daily"
)
```

***

#### **6. Best Practices for Multi-Session**

1. **Connection Pooling**:

```python
agent_pool = AgentPool(
    agent_class=SupportAgent,
    max_idle=300,
    ready_timeout=5  # seconds
)
```

2. **Session Timeout Handling**:

```python
SessionManager.register_hook(
    event="timeout",
    callback=partial(log_timeout, reporter=statsd)
)
```

3. **Resource Throttling**:

```bash
agentgpt session limits set \
  --max-cpu=2 \
  --max-memory=512Mi \
  --region=eu-central
```

***

#### **7. Troubleshooting**

| **Symptom**             | **Debugging Strategy**                       |
| ----------------------- | -------------------------------------------- |
| Session data corruption | Run `agentgpt session verify --id SESS_ID`   |
| Memory pressure         | Check `session.monitor --metric=memory`      |
| Cross-session leakage   | Audit via `security.scan --sessions SESS_ID` |


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