AgentLens Cloud

June 26, 2026 · View on GitHub

Get started with AgentLens Cloud in under 5 minutes. No server to deploy, no infrastructure to manage.

1. Sign Up

  1. Go to https://app.agentlens.ai
  2. Click Sign Up — authenticate with GitHub, Google, or email
  3. You'll land on the Organization Dashboard with a default org created for you

2. Create Your First API Key

  1. Navigate to Settings → API Keys
  2. Click Create API Key
  3. Give it a name (e.g., dev-local) and select a role (admin or member)
  4. Copy the key (als_cloud_...) — it's shown only once

Or use the CLI:

npx @agentkitai/agentlens-cli cloud login
npx @agentkitai/agentlens-cli cloud keys create --name dev-local

3. Install the SDK

Python

pip install agentlensai[all-providers]   # all 9 LLM providers
# or pick specific ones:
pip install agentlensai[openai]          # just OpenAI
pip install agentlensai[anthropic]       # just Anthropic

TypeScript

npm install @agentkitai/agentlens-sdk

4. Instrument Your Agent

Python — Anthropic

import agentlensai

agentlensai.init(
    cloud=True,
    api_key="als_cloud_your_key_here",
    agent_id="my-agent",
)

import anthropic
client = anthropic.Anthropic()
message = client.messages.create(
    model="claude-sonnet-4-20250514",
    max_tokens=1024,
    messages=[{"role": "user", "content": "Hello!"}],
)
# ^ Automatically captured: model, tokens, cost, latency, full prompt/completion

agentlensai.shutdown()

Python — OpenAI

import agentlensai

agentlensai.init(
    cloud=True,
    api_key="als_cloud_your_key_here",
    agent_id="my-agent",
)

import openai
client = openai.OpenAI()
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello!"}],
)

agentlensai.shutdown()

Python — LiteLLM

import agentlensai

agentlensai.init(
    cloud=True,
    api_key="als_cloud_your_key_here",
    agent_id="my-agent",
)

import litellm
response = litellm.completion(
    model="gpt-4o-mini",
    messages=[{"role": "user", "content": "Hello!"}],
)

agentlensai.shutdown()

TypeScript

import { AgentLensClient } from '@agentkitai/agentlens-sdk';

const client = new AgentLensClient({
  cloud: true,
  apiKey: 'als_cloud_your_key_here',
});

const sessions = await client.getSessions();
console.log(sessions);

Environment Variables

Instead of passing parameters directly, you can use environment variables:

export AGENTLENS_CLOUD=true
export AGENTLENS_API_KEY=als_cloud_your_key_here
export AGENTLENS_AGENT_ID=my-agent

import agentlensai
agentlensai.init(cloud=True)  # picks up API key from env

5. Verify Your First Event

After running your instrumented code, verify data is flowing:

Dashboard: Open https://app.agentlens.ai → Sessions — you should see your session appear within seconds.

CLI:

npx @agentkitai/agentlens-cli cloud sessions --limit 5

SDK:

from agentlensai import AgentLensClient

client = AgentLensClient(cloud=True, api_key="als_cloud_your_key_here")
sessions = client.get_sessions(limit=5)
for s in sessions:
    print(f"{s.id} — {s.agent_id} — {s.status}")
client.close()

6. Dashboard Walkthrough

Overview Page

The landing page shows live metrics: total sessions, events, errors, and active agents. The 24-hour timeline chart updates in real time.

Sessions

Browse all agent sessions with sortable columns: agent name, status, start time, duration, event count, error count, and cost. Click any session to see its full timeline.

LLM Analytics

View aggregate LLM metrics: total calls, cost, latency, and token usage. Break down by provider and model. Filter by agent or time range.

Health Scores

Monitor agent reliability with 5-dimension health scoring (error rate, cost efficiency, tool success, latency, completion rate). Track trends over time.

API Keys

Manage your API keys: create, revoke, and see last-used timestamps. Each key is scoped to your organization.

Team Management

Invite team members, assign roles (owner, admin, member), and manage organization settings.

Usage & Billing

View current usage (events ingested, storage), plan limits, and billing history. Upgrade or manage your subscription.

Troubleshooting

"401 Unauthorized" on event ingestion

  • Check your API key — ensure it starts with als_cloud_ and hasn't been revoked
  • Check the environment — run echo $AGENTLENS_API_KEY to confirm it's set
  • Key might be expired — create a new one in the dashboard

Events not appearing in dashboard

  • Call agentlensai.shutdown() — the SDK batches events and flushes on shutdown. Without it, the last batch may not be sent.
  • Check network — ensure your machine can reach https://api.agentlens.ai
  • Check agent_id — filter by the correct agent in the dashboard
  • Sync mode for debugging — use agentlensai.init(cloud=True, api_key="...", sync_mode=True) to send events synchronously and see errors immediately

"429 Too Many Requests"

You've hit the rate limit for your plan. Options:

  • Wait and retry (the SDK has built-in retry with exponential backoff)
  • Upgrade your plan for higher limits
  • Reduce event volume by filtering what you instrument

SSL/TLS errors

  • Ensure your Python/Node.js has up-to-date CA certificates
  • If behind a corporate proxy, configure HTTPS_PROXY environment variable

"Connection refused" or timeouts

  • Verify you're using cloud=True (not pointing at localhost)
  • Check firewall rules — outbound HTTPS (port 443) to api.agentlens.ai must be allowed

SDK version mismatch

Cloud mode requires agentlensai >= 0.11.0. Upgrade:

pip install --upgrade agentlensai
# or
npm install @agentkitai/agentlens-sdk@latest

Next Steps