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Scaling and multi-tenancy

Design your Copilot SDK deployment to serve multiple users, handle concurrent sessions, and scale horizontally across infrastructure. This guide covers session isolation patterns, scaling topologies, and production best practices.

Best for: Platform developers, SaaS builders, any deployment serving more than a handful of concurrent users.

Core concepts

Before choosing a pattern, understand three dimensions of scaling:

Diagram: Flowchart showing the described process.

Session isolation patterns

Pattern 1: isolated CLI per user

Each user gets their own CLI server instance. Strongest isolation—a user's sessions, memory, and processes are completely separated.

Diagram: Flowchart showing the described process.

When to use:

  • Multi-tenant SaaS where data isolation is critical
  • Users with different auth credentials
  • Compliance requirements (SOC 2, HIPAA)
// CLI pool manager — one CLI per user
class CLIPool {
    private instances = new Map<string, { client: CopilotClient; port: number }>();
    private nextPort = 5000;

    async getClientForUser(userId: string, token?: string): Promise<CopilotClient> {
        if (this.instances.has(userId)) {
            return this.instances.get(userId)!.client;
        }

        const port = this.nextPort++;

        // Spawn a dedicated CLI for this user
        await spawnCLI(port, token);

        const client = new CopilotClient({
            cliUrl: `localhost:${port}`,
        });

        this.instances.set(userId, { client, port });
        return client;
    }

    async releaseUser(userId: string): Promise<void> {
        const instance = this.instances.get(userId);
        if (instance) {
            await instance.client.stop();
            this.instances.delete(userId);
        }
    }
}

Pattern 2: shared CLI with session isolation

Multiple users share one CLI server but have isolated sessions via unique session IDs. Lighter on resources, but weaker isolation.

Diagram: Flowchart showing the described process.

When to use:

  • Internal tools with trusted users
  • Resource-constrained environments
  • Lower isolation requirements
const sharedClient = new CopilotClient({
    cliUrl: "localhost:4321",
});

// Enforce session isolation through naming conventions
function getSessionId(userId: string, purpose: string): string {
    return `${userId}-${purpose}-${Date.now()}`;
}

// Access control: ensure users can only access their own sessions
async function resumeSessionWithAuth(
    sessionId: string,
    currentUserId: string
): Promise<Session> {
    const [sessionUserId] = sessionId.split("-");
    if (sessionUserId !== currentUserId) {
        throw new Error("Access denied: session belongs to another user");
    }
    return sharedClient.resumeSession(sessionId);
}

Pattern 3: shared sessions (collaborative)

Multiple users interact with the same session—like a shared chat room with Copilot.

Diagram: Flowchart showing the described process.

When to use:

  • Team collaboration tools
  • Shared code review sessions
  • Pair programming assistants

⚠️ Important: The SDK doesn't provide built-in session locking. You must serialize access to prevent concurrent writes to the same session.

import Redis from "ioredis";

const redis = new Redis();

async function withSessionLock<T>(
    sessionId: string,
    fn: () => Promise<T>,
    timeoutSec = 300
): Promise<T> {
    const lockKey = `session-lock:${sessionId}`;
    const lockId = crypto.randomUUID();

    // Acquire lock
    const acquired = await redis.set(lockKey, lockId, "NX", "EX", timeoutSec);
    if (!acquired) {
        throw new Error("Session is in use by another user");
    }

    try {
        return await fn();
    } finally {
        // Release lock (only if we still own it)
        const currentLock = await redis.get(lockKey);
        if (currentLock === lockId) {
            await redis.del(lockKey);
        }
    }
}

// Usage: serialize access to shared session
app.post("/team-chat", authMiddleware, async (req, res) => {
    const result = await withSessionLock("team-project-review", async () => {
        const session = await client.resumeSession("team-project-review");
        return session.sendAndWait({ prompt: req.body.message });
    });

    res.json({ content: result?.data.content });
});

Comparison of isolation patterns

Isolated CLI Per UserShared CLI + Session IsolationShared Sessions
Isolation✅ Complete⚠️ Logical❌ Shared
Resource usageHigh (CLI per user)Low (one CLI)Low (one CLI + session)
ComplexityMediumLowHigh (locking)
Auth flexibility✅ Per-user tokens⚠️ Service token⚠️ Service token
Best forMulti-tenant SaaSInternal toolsCollaboration

Horizontal scaling

Multiple CLI servers behind a load balancer

Diagram: Flowchart showing the described process.

Key requirement: Session state must be on shared storage so any CLI server can resume any session.

// Route sessions to CLI servers
class CLILoadBalancer {
    private servers: string[];
    private currentIndex = 0;

    constructor(servers: string[]) {
        this.servers = servers;
    }

    // Round-robin selection
    getNextServer(): string {
        const server = this.servers[this.currentIndex];
        this.currentIndex = (this.currentIndex + 1) % this.servers.length;
        return server;
    }

    // Sticky sessions: same user always hits same server
    getServerForUser(userId: string): string {
        const hash = this.hashCode(userId);
        return this.servers[hash % this.servers.length];
    }

    private hashCode(str: string): number {
        let hash = 0;
        for (let i = 0; i < str.length; i++) {
            hash = (hash << 5) - hash + str.charCodeAt(i);
            hash |= 0;
        }
        return Math.abs(hash);
    }
}

const lb = new CLILoadBalancer([
    "cli-1:4321",
    "cli-2:4321",
    "cli-3:4321",
]);

app.post("/chat", async (req, res) => {
    const server = lb.getServerForUser(req.user.id);
    const client = new CopilotClient({ cliUrl: server });

    const session = await client.createSession({
        sessionId: `user-${req.user.id}-chat`,
        model: "gpt-4.1",
    });

    const response = await session.sendAndWait({ prompt: req.body.message });
    res.json({ content: response?.data.content });
});

Sticky sessions vs. shared storage

Diagram: Flowchart showing the described process.

Sticky sessions are simpler—pin users to specific CLI servers. No shared storage needed, but load distribution is uneven.

Shared storage enables any CLI to handle any session. Better load distribution, but requires networked storage for ~/.copilot/session-state/.

Vertical scaling

Tuning a single CLI server

A single CLI server can handle many concurrent sessions. Key considerations:

Diagram: Flowchart showing the described process.

Session lifecycle management is key to vertical scaling:

// Limit concurrent active sessions
class SessionManager {
    private activeSessions = new Map<string, Session>();
    private maxConcurrent: number;

    constructor(maxConcurrent = 50) {
        this.maxConcurrent = maxConcurrent;
    }

    async getSession(sessionId: string): Promise<Session> {
        // Return existing active session
        if (this.activeSessions.has(sessionId)) {
            return this.activeSessions.get(sessionId)!;
        }

        // Enforce concurrency limit
        if (this.activeSessions.size >= this.maxConcurrent) {
            await this.evictOldestSession();
        }

        // Create or resume
        const session = await client.createSession({
            sessionId,
            model: "gpt-4.1",
        });

        this.activeSessions.set(sessionId, session);
        return session;
    }

    private async evictOldestSession(): Promise<void> {
        const [oldestId] = this.activeSessions.keys();
        const session = this.activeSessions.get(oldestId)!;
        // Session state is persisted automatically — safe to disconnect
        await session.disconnect();
        this.activeSessions.delete(oldestId);
    }
}

Ephemeral vs. persistent sessions

Diagram: Flowchart showing the described process.

Ephemeral sessions

For stateless API endpoints where each request is independent:

app.post("/api/analyze", async (req, res) => {
    const session = await client.createSession({
        model: "gpt-4.1",
    });

    try {
        const response = await session.sendAndWait({
            prompt: req.body.prompt,
        });
        res.json({ result: response?.data.content });
    } finally {
        await session.disconnect();  // Clean up immediately
    }
});

Persistent sessions

For conversational interfaces or long-running workflows:

// Create a resumable session
app.post("/api/chat/start", async (req, res) => {
    const sessionId = `user-${req.user.id}-${Date.now()}`;

    const session = await client.createSession({
        sessionId,
        model: "gpt-4.1",
        infiniteSessions: {
            enabled: true,
            backgroundCompactionThreshold: 0.80,
        },
    });

    res.json({ sessionId });
});

// Continue the conversation
app.post("/api/chat/message", async (req, res) => {
    const session = await client.resumeSession(req.body.sessionId);
    const response = await session.sendAndWait({ prompt: req.body.message });

    res.json({ content: response?.data.content });
});

// Clean up when done
app.post("/api/chat/end", async (req, res) => {
    await client.deleteSession(req.body.sessionId);
    res.json({ success: true });
});

Container deployments

Kubernetes with persistent storage

apiVersion: apps/v1
kind: Deployment
metadata:
  name: copilot-cli
spec:
  replicas: 3
  selector:
    matchLabels:
      app: copilot-cli
  template:
    metadata:
      labels:
        app: copilot-cli
    spec:
      containers:
        - name: copilot-cli
          image: your-registry/copilot-cli:latest  # See backend-services.md for how to build and push this image
          args: ["--headless", "--host", "0.0.0.0", "--port", "4321"]
          env:
            - name: COPILOT_GITHUB_TOKEN
              valueFrom:
                secretKeyRef:
                  name: copilot-secrets
                  key: github-token
          ports:
            - containerPort: 4321
          volumeMounts:
            - name: session-state
              mountPath: /root/.copilot/session-state
      volumes:
        - name: session-state
          persistentVolumeClaim:
            claimName: copilot-sessions-pvc
---
apiVersion: v1
kind: Service
metadata:
  name: copilot-cli
spec:
  selector:
    app: copilot-cli
  ports:
    - port: 4321
      targetPort: 4321

Diagram: Flowchart showing the described process.

Azure Container Instances

containers:
  - name: copilot-cli
    image: your-registry/copilot-cli:latest  # See backend-services.md for how to build and push this image
    command: ["copilot", "--headless", "--host", "0.0.0.0", "--port", "4321"]
    volumeMounts:
      - name: session-storage
        mountPath: /root/.copilot/session-state

volumes:
  - name: session-storage
    azureFile:
      shareName: copilot-sessions
      storageAccountName: myaccount

Production checklist

Diagram: Flowchart showing the described process.

ConcernRecommendation
Session cleanupRun periodic cleanup to delete sessions older than your TTL
Health checksPing the CLI server periodically; restart if unresponsive
StorageMount persistent volumes for ~/.copilot/session-state/
SecretsUse your platform's secret manager (Vault, K8s Secrets, etc.)
MonitoringTrack active session count, response latency, error rates
LockingUse Redis or similar for shared session access
ShutdownDrain active sessions before stopping CLI servers

Limitations

LimitationDetails
No built-in session lockingImplement application-level locking for concurrent access
No built-in load balancingUse external LB or service mesh
Session state is file-basedRequires shared filesystem for multi-server setups
30-minute idle timeoutSessions without activity are auto-cleaned by the CLI
CLI is single-processScale by adding more CLI server instances, not threads

Next steps