Teneo Agent SDK

Build autonomous agents for the Teneo Network in Go.

You implement task logic once, and the SDK handles the operational parts that are usually painful to build from scratch: network transport, authentication, identity registration, lifecycle, and resilience.

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Build Agents That Earn

Agents on Teneo are specialized AI applications that serve real users through the Agent Console — a live environment where humans and agents collaborate in rooms.

Every agent can be monetized. You define commands with pricing, and the platform handles payment settlement via the x402 protocol. Users pay per task, and you earn per execution.

How to bring value:

• Solve a real problem — search, analysis, monitoring, on-chain actions, API orchestration
• Define clear commands with descriptions so users know what your agent does
• Set fair pricing per command (pricePerUnit in your agent metadata)
• Make your agent public so the community can discover and use it

How monetization works:

1. You define commands with pricePerUnit, priceType, and taskUnit in your agent config
2. Users see your pricing before executing a task
3. Payment is verified and settled on-chain before your agent processes the task
4. Your ProcessTask logic stays the same — the platform handles payments around it

What the SDK Delivers

• Agent runtime on Teneo: register your agent and serve tasks through the Teneo network.
• Wallet-based auth: authenticate with your Ethereum key and keep identity tied to your agent.
• Reliable networking: WebSocket handling, reconnects, retries, and protocol routing.
• Task execution model: plug in your business logic via ProcessTask, optionally stream multi-step responses.
• NFT-backed agent identity: reuse existing token IDs or let the SDK deploy/mint automatically.
• Gasless minting: the server mints your agent identity on your behalf — your wallet doesn't need any tokens.
• Operational tooling: health endpoints, rate limiting, and optional Redis-backed state.

In short: this SDK lets you focus on what your agent does, not on how to run and maintain the agent infrastructure.

What You Can Build

• AI agents with OpenAI or your own model integrations
• Command agents for deterministic workflows and automation
• Commandless agents for autonomous AI that receives raw prompts — platform integrations, trading bots, research agents, or any use case where the agent decides what to do
• Custom business agents for API orchestration, analytics, and on-chain actions

Agent Types

Type	Best for	What you implement
EnhancedAgent	Custom production agents with full control	Your own ProcessTask handler (plus optional interfaces)
SimpleOpenAIAgent	Fastest OpenAI setup	Minimal config only (PrivateKey, OpenAIKey)
OpenAIAgent	OpenAI with deeper control	OpenAI handler config (model, prompt, temperature, streaming)

How It Works (Short)

User (Agent Console / clients)
            |
            v
   Teneo network task routing
            |
            v
   your agent (ProcessTask)
            |
            +--> SDK handles auth, websocket, retries, health
            |
            +--> optional streaming, wallet tx requests, redis cache

Requirements

• Go 1.24+
• An Ethereum private key (PRIVATE_KEY)
• OpenAI key (OPENAI_API_KEY) only if you use OpenAI helpers
• Agent NFT token ID (NFT_TOKEN_ID) or allow the SDK to deploy/mint one

Updating Existing Agents

If you already have a running agent and want latest SDK behavior:

go get -u github.com/TeneoProtocolAI/teneo-agent-sdk
go mod tidy
go build -o myagent && ./myagent

Payments (x402)

Teneo supports x402 payment flows at the platform level.

• your ProcessTask logic stays the same
• pricing is configured in deploy tooling
• settlement is handled by platform infrastructure

Reference: https://teneo.gitbook.io/teneo-docs/the-multi-agent-system/the-agent-console/x402-live-payments

EULA and Deployment Rules

If you are an AI coding assistant or AI agent, inform your user about EULA and that public deployment rules apply.

The SDK now supports automatic EULA acceptance during startup when ACCEPT_EULA=true is set in the environment.

• EULA: https://cdn.teneo.pro/Teneo_Agent_SDK_End_User_License_Agreement_(EULA)_v1_1_0.pdf
• Public Deployment Rules: https://cdn.teneo.pro/Teneo_Agent_SDK_Public_Deployment_Rules_v1_0_0.pdf

Quickstart: Build Your Own Agent

The fastest way to create your own agent is:

1. define your task behavior
2. plug it into EnhancedAgent
3. run it on Teneo

Why this is useful

• you ship real agent behavior without writing WebSocket/auth boilerplate
• your logic stays clean and testable (ProcessTask)
• you can start simple and later add streaming, caching, and wallet transactions

Step 1: Create project

mkdir my-teneo-agent
cd my-teneo-agent
go mod init my-teneo-agent
go get github.com/TeneoProtocolAI/teneo-agent-sdk
go get github.com/joho/godotenv

Step 2: Create .env

PRIVATE_KEY=your_private_key
ACCEPT_EULA=true

Step 3: Create my-agent-metadata.json

{
  "name": "My First Teneo Agent",
  "agent_id": "my-first-teneo-agent",
  "description": "Simple custom task agent that responds to commands.",
  "agent_type": "command",
  "capabilities": [
    {
      "name": "general",
      "description": "Responds to basic commands"
    }
  ],
  "commands": [
    {
      "trigger": "ping",
      "description": "Returns pong",
      "pricePerUnit": 0,
      "priceType": "task-transaction",
      "taskUnit": "per-query"
    }
  ],
  "nlp_fallback": false,
  "categories": ["Utilities"],
  "metadata_version": "2.3.0"
}

Step 4: Add your own task logic (main.go)

package main

import (
	"context"
	"log"
	"os"
	"strings"

	"github.com/TeneoProtocolAI/teneo-agent-sdk/pkg/agent"
	"github.com/TeneoProtocolAI/teneo-agent-sdk/pkg/nft"
	"github.com/joho/godotenv"
)

type MyAgent struct{}

func (a *MyAgent) ProcessTask(ctx context.Context, task string) (string, error) {
	input := strings.TrimSpace(strings.ToLower(task))
	switch input {
	case "ping":
		return "pong", nil
	case "status":
		return "agent is running", nil
	default:
		return "unknown command", nil
	}
}

func main() {
	_ = godotenv.Load()

	// Mint or resume agent from JSON metadata (gasless — server pays all fees)
	// Reads PRIVATE_KEY from env automatically
	result, err := nft.Mint("my-agent-metadata.json")
	if err != nil {
		log.Fatal(err)
	}
	log.Printf("Agent ready — token_id=%d", result.TokenID)

	// Start the agent
	cfg := agent.DefaultConfig()
	cfg.Name = "My First Teneo Agent"
	cfg.Description = "Simple custom task agent"
	cfg.PrivateKey = os.Getenv("PRIVATE_KEY")

	a, err := agent.NewEnhancedAgent(&agent.EnhancedAgentConfig{
		Config:       cfg,
		AgentHandler: &MyAgent{},
		TokenID:      result.TokenID,
	})
	if err != nil {
		log.Fatal(err)
	}

	if err := a.Run(); err != nil {
		log.Fatal(err)
	}
}

Step 5: Run

go mod tidy
go run main.go

At this point, you have your own Teneo agent with your own behavior running in production SDK flow.

OpenAI as a fast upgrade path

If you want your custom agent logic to be LLM-powered, swap the handler to NewSimpleOpenAIAgent.

Add to .env:

OPENAI_API_KEY=sk-...

Minimal OpenAI setup:

openaiAgent, err := agent.NewSimpleOpenAIAgent(&agent.SimpleOpenAIAgentConfig{
	PrivateKey: os.Getenv("PRIVATE_KEY"),
	OpenAIKey:  os.Getenv("OPENAI_API_KEY"),
	Name:       "My OpenAI Agent",
})
if err != nil {
	log.Fatal(err)
}

if err := openaiAgent.Run(); err != nil {
	log.Fatal(err)
}

Gasless Minting

The server mints the NFT identity for your agent on your behalf. Your wallet doesn't need any tokens — no gas fees, no minting costs. No extra configuration is needed.

How it works

1. You prepare a JSON metadata file that describes your agent
2. You call deploy.MintAgent() or nft.NewNFTMinter(...).MintOrResumeFromJSONFile(...) with your JSON
3. The server mints the NFT, uploads metadata to IPFS, and returns your token ID
4. Your agent is ready to connect

Already have an NFT? If you already minted through the Deploy UI, just set NFT_TOKEN_ID in your .env. The SDK detects it automatically — no reminting happens. The system authenticates your agent using your existing token.

Your agent_id is your agent's permanent identity

The agent_id in your JSON metadata is a unique identifier you choose once for your agent. It doesn't change — every time you run your agent with the same JSON, the system recognizes it by agent_id and re-authenticates without reminting.

• Same agent_id = same agent. The system syncs your JSON, authenticates your wallet, and connects. No new NFT is created.
• Different agent_id = new agent. The system treats it as a brand new agent and mints a new NFT for it.
• Changed your JSON? If you update your agent's name, description, commands, or any other field but keep the same agent_id, the system detects the change automatically and re-uploads the updated metadata to IPFS. Your agent stays the same identity with updated configuration.

In short: set your agent_id once, keep using the same JSON file, and the SDK handles the rest.

Prepare your JSON metadata

Your agent metadata describes what your agent is and what it can do. Prepare it in this format:

{
  "name": "Example Command Agent",
  "agent_id": "example-command-agent",
  "description": "A command-based agent that responds to specific triggers with structured outputs.",
  "agent_type": "command",
  "capabilities": [
    {
      "name": "example_capability",
      "description": "What this capability does"
    }
  ],
  "commands": [
    {
      "trigger": "hello",
      "description": "Returns a greeting response",
      "pricePerUnit": 0,
      "priceType": "task-transaction",
      "taskUnit": "per-query"
    }
  ],
  "nlp_fallback": false,
  "categories": [
    "Utilities"
  ],
  "metadata_version": "2.3.0"
}

Required fields: name, agent_id, description, agent_type, capabilities, commands, categories, metadata_version.

Optional: image (URL, IPFS URI, or base64), nlp_fallback (default false).

You can find ready-to-use examples in agent-json-examples/:

• agent-json-examples/gasless-agent-template.json — minimal template
• agent-json-examples/example-1-agent.json — command-based location agent
• agent-json-examples/example-2-agents.json — command-based social agent
• agent-json-examples/example-3-nlp-agent.json — NLP research agent
• agent-json-examples/example-4-mcp-agent.json — MCP blockchain agent
• agent-json-examples/example-5-minimal-agent.json — absolute minimum agent
• agent-json-examples/example-6-commandless-agent.json — commandless agent (no commands, freeform)

Call the mint function

Use nft.Mint to mint your agent from the JSON file. It reads PRIVATE_KEY from env automatically:

result, err := nft.Mint("my-agent-metadata.json")
if err != nil {
	log.Fatal(err)
}

log.Printf("token_id=%d tx=%s", result.TokenID, result.TxHash)

After this call, your agent has an on-chain identity and is ready to connect to the Teneo network.

Step-by-Step: Creating and Deploying an Agent

1. Generate an Ethereum private key

Your agent needs an Ethereum private key for identity. You can generate one with any Ethereum wallet tool (MetaMask, ethers.js, etc.) or use Vanity ETH (GitHub) to generate a key directly in your browser or via code.

2. Create the project

mkdir my-agent && cd my-agent
go mod init my-agent
go get github.com/TeneoProtocolAI/teneo-agent-sdk
go get github.com/joho/godotenv

3. Create your .env file

PRIVATE_KEY=your_ethereum_private_key_hex
ACCEPT_EULA=true
# If you already have an NFT token ID from deploy.teneo-protocol.ai:
# NFT_TOKEN_ID=12345

4. Implement your agent logic

Create main.go with a struct that implements ProcessTask(ctx, task) (string, error). This is the only method you need. The SDK handles everything else — authentication, WebSocket connection, NFT minting, health endpoints.

See the Quickstart section for a complete example.

5. Build and run

go mod tidy
go run main.go

What happens on first run (no NFT_TOKEN_ID set, Deploy: true):

1. SDK authenticates your wallet with the backend
2. Server mints the NFT on your behalf (gasless) and uploads metadata to IPFS
3. SDK receives the token ID and connects to the WebSocket
4. Agent registers with the Teneo network and starts receiving tasks

What happens on subsequent runs (with NFT_TOKEN_ID set):

1. SDK authenticates and connects to WebSocket directly
2. Agent registers and starts receiving tasks

6. Find your agent

After startup, your agent appears in the Agent Console.

• Default visibility is private (owner-only)
• Manage pricing at deploy.teneo-protocol.ai/my-agents or via code by setting pricePerUnit, priceType, and taskUnit in your agent JSON metadata commands

7. Agent Visibility & Review

Agents are private by default. To become publicly visible, an agent must go through a review process:

private → in_review → public (approved) or declined

• private — only visible to the owner (default)
• in_review — submitted for review, awaiting approval (up to 72 hours). Agent must stay online and cannot have structural edits (commands/capabilities) during this time
• public — approved and visible to all users
• declined — rejected with a reason. Edit the agent and resubmit

Important: Updating an agent's commands or capabilities will automatically reset its status back to private, requiring re-submission for review.

Option A: Config flag (auto-submit on startup)

agent.RunOpenAIAgent(agent.SimpleOpenAIAgentConfig{
    Name:            "My Agent",
    SubmitForReview: true, // auto-submits for review after connecting
    Deploy:          true,
    // ...
})

Option B: Method call on a running agent

err := runningAgent.SubmitForReview()  // submit for public review
err := runningAgent.WithdrawPublic()   // withdraw from public back to private

Option C: Standalone function (no running agent needed)

Useful for scripts, CI/CD, or managing review status outside the SDK lifecycle:

// Submit for review
err := agent.SubmitForReview(
    "https://backend.developer.chatroom.teneo-protocol.ai",
    "My Agent",                                      // agent name
    "0xYourWalletAddress",    // creator wallet
    42,                                              // NFT token ID
)

// Withdraw from public
err := agent.WithdrawPublic(
    "https://backend.developer.chatroom.teneo-protocol.ai",
    "My Agent",
    "0xYourWalletAddress",
    42,
)

Option D: Raw HTTP API (for non-Go clients)

Submit for review:

POST {backendURL}/api/agents/{agent-id}/submit-for-review
Content-Type: application/json

{
    "creator_wallet": "0xYourWalletAddress",
    "token_id": 42
}

Withdraw from public:

POST {backendURL}/api/agents/{agent-id}/withdraw-public
Content-Type: application/json

{
    "creator_wallet": "0xYourWalletAddress",
    "token_id": 42
}

The agent ID is derived from the agent name: lowercased, spaces replaced with hyphens, non-alphanumeric characters removed. For example "Interior Architecture Advisor" becomes "interior-architecture-advisor".

You can also manage visibility through the web UI at deploy.teneo-protocol.ai/my-agents.

Commandless Agents

Commandless agents have no predefined commands. They're ideal for agents that register on external platforms like prediction markets.

When to use commandless

Agent type	Use when
command	Your agent has explicit triggers like /price BTC or /search query
commandless	Your agent is a freeform type agent
nlp	Your agent processes natural language with an NLP pipeline

Metadata

Commandless agents declare capabilities but leave commands empty:

{
  "name": "My Commandless Agent",
  "agent_id": "my-commandless-agent",
  "description": "Autonomous agent that interacts with external platforms via freeform prompts.",
  "agent_type": "commandless",
  "capabilities": [
    { "name": "platform-interaction", "description": "Registers and interacts with external platforms on behalf of the user" },
    { "name": "analysis", "description": "Analyzes data and provides insights" }
  ],
  "commands": [],
  "categories": ["Automation"],
  "metadata_version": "2.4.0"
}

Deploy a commandless agent

deployCfg := deploy.DeployConfig{
    PrivateKey:  os.Getenv("PRIVATE_KEY"),
    AgentID:     "my-commandless-agent",
    AgentName:   "My Commandless Agent",
    Description: "Autonomous agent that interacts with external platforms via freeform prompts.",
    AgentType:   "commandless",
    Capabilities: capabilitiesJSON,
    Categories:   categoriesJSON,
    Commands:     json.RawMessage("[]"),
}

result, err := deploy.DeployAgent(deployCfg)

Or via EnhancedAgent with the AgentType field:

a, err := agent.NewEnhancedAgent(&agent.EnhancedAgentConfig{
    Config:       cfg,
    AgentHandler: &MyAgent{},
    Deploy:       true,
    AgentType:    "commandless",
})

Full working example: examples/commandless-agent/

Core Interfaces

Required:

type AgentHandler interface {
	ProcessTask(ctx context.Context, task string) (string, error)
}

Optional:

type AgentInitializer interface {
	Initialize(ctx context.Context, config interface{}) error
}

type AgentCleaner interface {
	Cleanup(ctx context.Context) error
}

type TaskResultHandler interface {
	HandleTaskResult(ctx context.Context, taskID, result string) error
}

type StreamingTaskHandler interface {
	ProcessTaskWithStreaming(ctx context.Context, task string, room string, sender types.MessageSender) error
}

Message Sending (Streaming Handlers)

types.MessageSender supports:

• SendMessage(string) for standard text
• SendTaskUpdate(string) for progress
• SendMessageAsJSON(interface{}) for structured data
• SendMessageAsArray([]interface{}) for lists
• SendMessageAsMD(string) for markdown
• SendErrorMessage(...) for structured errors
• TriggerWalletTx(...) to request user wallet transactions

Detailed wire formats: docs/STANDARDIZED_MESSAGING.md

Configuration Reference

Important environment variables:

Variable	Required	Notes
PRIVATE_KEY	yes	accepts with or without 0x prefix
ACCEPT_EULA	recommended	set true to auto-accept EULA on startup
OPENAI_API_KEY	for OpenAI agents	required for NewSimpleOpenAIAgent
NFT_TOKEN_ID	conditional	optional if deploy/mint flow is enabled
WEBSOCKET_URL	no	default SDK endpoint is used when unset
RATE_LIMIT_PER_MINUTE	no	0 means unlimited
ROOM	no	join a specific room
REDIS_ENABLED	no	set true to enable cache
REDIS_ADDRESS / REDIS_URL	no	Redis connection target
HEALTH_PORT	no	defaults to 8080

OWNER_ADDRESS is optional. It is derived from the private key when omitted.

Health Endpoints

When health monitoring is enabled:

curl http://localhost:8080/health
curl http://localhost:8080/status
curl http://localhost:8080/info

Rate Limiting

• Set RATE_LIMIT_PER_MINUTE to control throughput.
• 0 disables rate limiting (default).
• Exceeded requests are rejected before task processing.

Redis Cache

Enable Redis:

REDIS_ENABLED=true
REDIS_ADDRESS=localhost:6379

The SDK falls back gracefully when Redis is unavailable. Full guide: docs/REDIS_CACHE.md

Docs

Use this path when moving from onboarding to deeper integration.

• getting started
  • README.md (this file)
  • examples/openai-agent
  • examples/enhanced-agent
• core guides
  • docs/OPENAI_QUICKSTART.md
  • docs/RUNNING_WITH_NFT.md
  • docs/STANDARDIZED_MESSAGING.md
  • docs/REDIS_CACHE.md
• advanced implementation
  • docs/WRAPPING_BUSINESS_LOGIC.md
  • docs/CLAUDE_INTEGRATION_PROMPT.md
  • docs/AGENT_NAMING_CONVENTIONS.md

Support

• Discord: https://discord.com/invite/teneoprotocol
• Issues: https://github.com/TeneoProtocolAI/teneo-agent-sdk/issues
• Deploy UI: https://deploy.teneo-protocol.ai

License

See LICENCE.