Complete guide to using @openserv-labs/client for managing agents, workflows, triggers, and tasks on the OpenServ Platform. Covers provisioning, authentication, x402 payments, ERC-8004 on-chain identity, and the full Platform API. IMPORTANT - Always read the companion skill openserv-agent-sdk alongside this skill, as both packages are required to build any agent. Read reference.md for the full API reference.
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Complete guide to using @openserv-labs/client for managing agents, workflows, triggers, and tasks on the OpenServ Platform. Covers provisioning, authentication, x402 payments, ERC-8004 on-chain identity, and the full Platform API. IMPORTANT - Always read the companion skill openserv-agent-sdk alongside this skill, as both packages are required to build any agent. Read reference.md for the full API reference.
OpenServ Client
The @openserv-labs/client package is the TypeScript client for the OpenServ Platform API. You use it whenever your code needs to talk to the platform—to register an agent, create workflows, set up triggers, or run tasks.
Why you need this package
Your agent (built with @openserv-labs/sdk) runs on your machine or server. The platform doesn’t know about it until you tell it: what the agent is, where it’s reachable, and how it can be triggered. The client is how you do that. It lets you create a platform account (or reuse one), register your agent, define workflows and triggers (webhook, cron, manual, or x402 paid), and bind credentials so your agent can accept tasks. Without it, your agent would have no way to get onto the platform or receive work.
What you can do with it
Provision — One-shot setup: create or reuse an account (via wallet), register the agent, create a workflow with trigger and task, and get API key and auth token. Typically you call provision() once per app startup; it’s idempotent.
Platform API — Full control via PlatformClient: create and list agents, workflows, triggers, and tasks; fire triggers; run workflows; manage credentials. Use this when you need more than the default provision flow.
Model Parameters — Configure which LLM model and parameters the platform uses for your agent's tasks. Set model_parameters on agent creation/update or via provision().
— Discover available LLM models and their parameter schemas via .
Models API
client.models.list()
x402 payments — Expose your agent behind a paywall; callers pay per request (e.g. USDC) before the task runs. Provision can set up an x402 trigger and return a paywall URL.
ERC-8004 on-chain identity — Register your agent on-chain (Base), mint an identity NFT, and publish service metadata to IPFS so others can discover and pay your agent in a standard way.
The simplest deployment is just two calls: provision() and run(). That's it.
You need an account on the platform to register agents and workflows. The easiest way is to let provision() create one for you: it creates a wallet and signs you up with it (no email required). That account is reused on every run.
See examples/agent.ts for a complete runnable example.
Key Point:provision() is idempotent. Call it every time your app starts - no need to check isProvisioned() first.
What provision() Does
Creates or reuses an Ethereum wallet (and platform account if new)
Authenticates with the OpenServ platform
Creates or updates the agent (idempotent)
Generates API key and auth token
Binds credentials to agent instance (if agent.instance is provided)
Creates or updates the workflow with trigger and task
Creates workflow graph (edges linking trigger to task)
Activates trigger and sets workflow to running
Persists state to .openserv.json
Workflow Name & Goal
The workflow config requires two important properties:
name (string) - This becomes the agent name in ERC-8004. Make it polished, punchy, and memorable — this is the public-facing brand name users see. Think product launch, not variable name. Examples: 'Viral Content Engine', 'Crypto Alpha Scanner', 'Life Catalyst Pro'.
goal (string, required) - A detailed description of what the workflow accomplishes. Must be descriptive and thorough — short or vague goals will cause API calls to fail. Write at least a full sentence explaining the workflow's purpose.
workflow: {
name: 'Deep Research Pro',
goal: 'Research any topic in depth, synthesize findings from multiple sources, and produce a comprehensive report with citations',
trigger: triggers.webhook({ waitForCompletion: true, timeout: 600 }),
task: { description: 'Research the given topic' }
}
Agent Instance Binding (v1.1+)
Pass your agent instance to provision() for automatic credential binding:
const agent = newAgent({ systemPrompt: '...' })
awaitprovision({
agent: {
instance: agent, // Calls agent.setCredentials() automaticallyname: 'my-agent',
description: '...',
model_parameters: { model: 'gpt-5', verbosity: 'medium', reasoning_effort: 'high' } // Optional
},
workflow: { ... }
})
// agent now has apiKey and authToken set - ready for run()awaitrun(agent)
This eliminates the need to manually set OPENSERV_API_KEY environment variables.
Model Parameters
The optional model_parameters field controls which LLM model and parameters the platform uses when executing tasks for your agent (including runless capabilities and generate() calls). If not provided, the platform default is used.
interfaceProvisionResult {
agentId: numberapiKey: stringauthToken?: stringworkflowId: numbertriggerId: stringtriggerToken: stringpaywallUrl?: string// For x402 triggersapiEndpoint?: string// For webhook triggers
}
API Keys: Agent vs User
provision() creates two types of credentials. They are not interchangeable:
Credential
Env Variable
Used By
Purpose
Agent API key
OPENSERV_API_KEY
SDK internals
Authenticates the agent when receiving tasks from the platform. Set automatically via agent.instance. Do not use with PlatformClient.
Wallet key
WALLET_PRIVATE_KEY
PlatformClient
Authenticates your account for management calls (list tasks, debug workflows, manage agents).
User API key
OPENSERV_USER_API_KEY
PlatformClient
Alternative to wallet auth. Get from the platform dashboard.
If you get a 401 Unauthorized when using PlatformClient, you are likely using the agent API key by mistake. Use wallet authentication or the user API key instead.
PlatformClient: Full API Access
For advanced use cases, use PlatformClient directly:
import { PlatformClient } from'@openserv-labs/client'// Using wallet authentication (recommended — uses wallet from provision)const client = newPlatformClient()
await client.authenticate(process.env.WALLET_PRIVATE_KEY)
// Or using User API key (NOT the agent API key)const client = newPlatformClient({
apiKey: process.env.OPENSERV_USER_API_KEY// NOT OPENSERV_API_KEY
})
See reference.md for full API documentation on:
client.agents.* - Agent management
client.workflows.* - Workflow management
client.triggers.* - Trigger management
client.tasks.* - Task management
client.models.* - Available LLM models and parameters
client.integrations.* - Integration connections
client.payments.* - x402 payments
client.web3.* - Credits top-up
Triggers Factory
Use the triggers factory for type-safe trigger configuration:
import { triggers } from'@openserv-labs/client'// Webhook (free, public endpoint)
triggers.webhook({
input: { query: { type: 'string', description: 'Search query' } },
waitForCompletion: true,
timeout: 600
})
// x402 (paid API with paywall)
triggers.x402({
name: 'AI Research Assistant',
description: 'Get comprehensive research reports on any topic',
price: '0.01',
timeout: 600,
input: {
prompt: {
type: 'string',
title: 'Your Request',
description: 'Describe what you would like the agent to do'
}
}
})
// Cron (scheduled)
triggers.cron({
schedule: '0 9 * * *', // Daily at 9 AMtimezone: 'America/New_York'
})
// Manual (platform UI only)
triggers.manual()
Timeout
Important: Always set timeout to at least 600 seconds (10 minutes) for webhook and x402 triggers. Agents often take significant time to process requests — especially in multi-agent workflows or when performing research, content generation, or other complex tasks. A low timeout (e.g., 180s) will cause premature failures. When in doubt, err on the side of a longer timeout. For multi-agent pipelines with many sequential steps, consider 900 seconds or more.
Deploy your agent to the OpenServ managed cloud with:
npx @openserv-labs/client deploy [path]
Where [path] is the directory containing your agent code (defaults to current directory).
Prerequisites
OPENSERV_USER_API_KEY in .env — Your .env file in the agent directory must contain OPENSERV_USER_API_KEY. Get this from the OpenServ platform dashboard. This key is required by the deploy command (and by PlatformClient for management operations). Note that provision() itself does not need this key — it creates its own wallet, authenticates, and persists credentials to .openserv.json independently. The user API key is also saved to .openserv.json after provision if present.
Call provision() first — provision() must run at least once before deploying. It registers the agent on the platform and persists credentials to .openserv.json. The recommended agent template already calls provision() before run(agent) in main(), so starting the agent locally (npm run dev or npx tsx src/agent.ts) is enough. If your code does not call provision() (e.g., you only call run(agent) in a custom script), you must add an explicit provision() call and run it once before deploying.
Deploy Workflow
1. Set OPENSERV_USER_API_KEY in .env
2. Call provision() during local startup (npm run dev) — registers the agent and writes .openserv.json
3. npx @openserv-labs/client deploy .
State Management
import { getProvisionedInfo, clearProvisionedState } from'@openserv-labs/client'// Get stored IDs and tokensconst info = getProvisionedInfo('my-agent', 'My Awesome Workflow')
// Clear state (forces fresh creation)clearProvisionedState()
Discovering & Firing x402 Services
Discover Available Services (No Auth Required)
discoverServices() lists all public x402-enabled workflows. No authentication is needed — you can call it on a bare PlatformClient:
import { PlatformClient } from'@openserv-labs/client'const client = newPlatformClient() // no API key or wallet neededconst services = await client.payments.discoverServices()
for (const service of services) {
console.log(`${service.name}: $${service.x402Pricing}`)
console.log(`URL: ${service.webhookUrl}`)
}
Firing Triggers
// By workflow ID (recommended — resolves the URL automatically)const result = await client.triggers.fireWebhook({
workflowId: 123,
input: { query: 'hello world' }
})
// Or by direct URLconst result = await client.triggers.fireWebhook({
triggerUrl: 'https://api.openserv.ai/webhooks/trigger/TOKEN',
input: { query: 'hello world' }
})
x402 (Programmatic)
// By workflow ID (recommended)const result = await client.payments.payWorkflow({
workflowId: 123,
input: { prompt: 'Hello world' }
})
// Or by direct URLconst result = await client.payments.payWorkflow({
triggerUrl: 'https://api.openserv.ai/webhooks/x402/trigger/TOKEN',
input: { prompt: 'Hello world' }
})
Environment Variables
Variable
Description
Required
OPENSERV_USER_API_KEY
User API key (from platform). Required for deploy and PlatformClient
Yes*
WALLET_PRIVATE_KEY
Wallet for SIWE auth
Yes*
OPENSERV_API_URL
Custom API URL
No
*Either API key or wallet key required for PlatformClient. OPENSERV_USER_API_KEY is required for npx @openserv-labs/client deploy.
ERC-8004: On-Chain Agent Identity
Register your agent on-chain after provisioning. This mints an NFT on the Identity Registry and publishes your agent's service endpoints to IPFS.
Requires ETH on Base. The wallet created by provision() starts with zero balance. Fund it with a small amount of ETH on Base mainnet before registration. Always wrap in try/catch so failures don't prevent run(agent) from starting.
Reload .env after provision().provision() writes WALLET_PRIVATE_KEY to .env at runtime, but process.env already loaded the empty value at startup. Use dotenv.config({ override: true }) after provision() to pick up the freshly written key. See openserv-agent-sdk skill for the full dotenv pattern.
This skill may be outdated. The OpenServ team ships updates regularly—new features, API changes, and bug fixes won't be reflected here until you update. If something isn't working as expected, or you want to make sure you have the latest information, update the skill before proceeding.
# Check if updates are available
npx skills check
# Update all installed skills to latest versions
npx skills update
Or reinstall the OpenServ skills directly:
npx skills add openserv-labs/skills
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