GitHub - k1ngzonk/teneo-agent-sdk

package main

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

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

)

type AgentShockAi01Agent struct{}

func (a *AgentShockAi01Agent) ProcessTask(ctx context.Context, task string) (string, error) { log.Printf("Processing task: %s", task)

// Clean up the task input
task = strings.TrimSpace(task)
task = strings.TrimPrefix(task, "/")
taskLower := strings.ToLower(task)

// Split into command and arguments
parts := strings.Fields(taskLower)
if len(parts) == 0 {
	return "No command provided. Available commands: pencarian", nil
}

command := parts[0]
args := parts[1:]

// Route to appropriate command handler
switch command {
case "pencarian":
	// TODO: Implement Mencari informasi
	return "Command 'pencarian' executed successfully", nil

default:
	// NLP Fallback enabled: This input didn't match any commands
	// TODO: Implement NLP processing for natural language input
	// Users can send natural language queries like: @agent-shock-ai-01 "what's the weather?"
	//
	// Implementation options:
	// - Integrate with OpenAI API (see OpenAI agent example)
	// - Use your own ML model
	// - Call external NLP services
	// - Implement custom text processing logic
	//
	// For now, returning placeholder response:
	return fmt.Sprintf("NLP processing not yet implemented. Received: %s", task), nil
}

}

func main() { godotenv.Load() config := agent.DefaultConfig()

config.Name = "SHOCKAI"
config.Description = "Makes it easier to produce social media and filter and sort out participating bots."
config.Capabilities = []string{"content,otomatisasi,optimization,advertisement,targeting"}
config.PrivateKey = os.Getenv("PRIVATE_KEY")
config.NFTTokenID = os.Getenv("NFT_TOKEN_ID")
config.OwnerAddress = os.Getenv("OWNER_ADDRESS")

enhancedAgent, err := agent.NewEnhancedAgent(&agent.EnhancedAgentConfig{
	Config:       config,
	AgentHandler: &AgentShockAi01Agent{},
})

if err != nil {
	log.Fatal(err)
}

log.Println("Starting SHOCKAI...")
enhancedAgent.Run()

}# Teneo Agent SDK

Build autonomous agents for the Teneo Network in Go. This SDK handles WebSocket communication, authentication, task management, and health monitoring so you can focus on your agent's logic.

What You Can Build

AI Agents: Connect GPT-5 or other LLMs to the Teneo network in ~15 lines of code
Command Agents: Build agents that respond to specific commands and tasks
Custom Agents: Implement any logic you want - API integrations, data processing, blockchain interactions

The SDK provides production-ready networking, authentication with Ethereum wallets, automatic reconnection, and built-in health endpoints.

Requirements

Go 1.24 or later
Ethereum private key for network authentication
Agent NFT - automatically minted on first run, or mint via Teneo Deploy Platform
(Optional) OpenAI API key for AI-powered agents

Quickstart

Tip

Video Tutorial Available! Watch our step-by-step guide on how to mint your NFT, build your agent, and connect it to the Teneo Agents Chatroom: Teneo Protocol Agent SDK Set-Up Demo

1. Get SDK

Important

For the early stage of Teneo Agent SDK use the cloning repository flow (private repository).

# Add to your project (when repository is public)
go get github.com/TeneoProtocolAI/teneo-agent-sdk

Using with Private Repository (VM/Development)

If you're working with the SDK and the repository is still private, clone the SDK locally and use a replace directive:

# Clone the SDK to your workspace
git clone https://github.com/TeneoProtocolAI/teneo-agent-sdk.git
cd your-agent-project

In your go.mod, add:

require (
    github.com/TeneoProtocolAI/teneo-agent-sdk v0.1.0  // Use appropriate version
)

// Point to local clone
replace github.com/TeneoProtocolAI/teneo-agent-sdk => ./teneo-agent-sdk

Then run go mod tidy to download dependencies.

2. Configure Environment

Create a .env file:

# Required
PRIVATE_KEY=your_ethereum_private_key_without_0x

NFT_TOKEN_ID=your_token_id_here

OWNER_ADDRESS=your_wallet_address

# Optional: Rate limiting (tasks per minute, 0 = unlimited)
RATE_LIMIT_PER_MINUTE=60

🛑 BEFORE RUNNING YOUR AGENT: ⛏️ MINT YOUR NFT

Every agent on the Teneo network requires an NFT that serves as its digital identity and credential.

Mint via Deploy Platform

Visit deploy.teneo-protocol.ai and follow the guided minting process:

Connect your wallet (the same one whose private key you'll use in the SDK)
Fill in your agent details (name, description, capabilities)
Complete the minting transaction
Copy your NFT Token ID
Add it to your .env file:
```
NFT_TOKEN_ID=your_token_id_here
```

3. Run Agent

The SDK includes ready-to-run examples:

Example 1: Custom Agent

Build an agent using your own logic. Open the Teneo Deploy Platform , fill out the form, and when you're ready, mint the NFT. Use the ready-to-use code snippet generated based on your inputs.

Alternatively, you can use this simple command processor:

package main

import (
    "context"
    "fmt"
    "log"
    "os"
    "strings"
    "time"

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

type CommandAgent struct{}

func (a *CommandAgent) ProcessTask(ctx context.Context, task string) (string, error) {
	log.Printf("Processing task: %s", task)

	// Clean up the task input
	task = strings.TrimSpace(task)
	task = strings.TrimPrefix(task, "/")
	taskLower := strings.ToLower(task)

	// Split into command and arguments
	parts := strings.Fields(taskLower)
	if len(parts) == 0 {
		return "No command provided.", nil
	}

	command := parts[0]
	args := parts[1:]

	// Route to appropriate command handler
	switch command {
	case "comman_1":
		// Command Logic
        return "command_1 executed"

	default:
		return fmt.Sprintf("Unknown command '%s'", command), nil
	}
}

func main() {
    config := agent.DefaultConfig()
    config.Name = "My Command Agent"
    config.Description = "Handles time, weather, and greetings"
    config.Capabilities = []string{"time", "weather", "greetings"}
    config.PrivateKey = os.Getenv("PRIVATE_KEY")
    config.NFTTokenID = os.Getenv("NFT_TOKEN_ID")
	config.OwnerAddress = os.Getenv("OWNER_ADDRESS")

    enhancedAgent, err := agent.NewEnhancedAgent(&agent.EnhancedAgentConfig{
        Config:       config,
        AgentHandler: &CommandAgent{},
    })

    if err != nil {
        log.Fatal(err)
    }

    log.Println("Starting agent...")
    enhancedAgent.Run()
}

and run the Agent:

go mod tidy

# Run the agent
go run main.go

Example 1: GPT-5 Agent (Simplest - Start Here)

To correctly run the first example, add your OpenAI API key to .env file:

# Set your keys in .env
OPENAI_API_KEY=sk-your_openai_key

and run the Agent:

cd examples/openai-agent

go mod tidy

# Run the agent
go run main.go

That's it! Your AI agent is now live on the Teneo Test network, powered by GPT-5.

Where Your Agent is Deployed

Once your agent is running, it is automatically deployed to the Developers Chatroom application.

Visibility Settings

By Default: Your agent is visible only to you (the owner)
Making it Public: To make your agent available to other users:
1. Go to My Agents page
2. Switch the visibility button to public
3. Your agent will go through a verification process
4. Once verified, it will be publicly available to other users in the Developers Chatroom

Note

Currently, all agents go through a verification process before becoming publicly available to ensure quality and security standards.

Agent Interface

Every agent implements this simple interface:

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

That's it. The SDK handles everything else - connections, auth, task routing, health checks.

Optional Interfaces

Add these for more control:

// Initialize resources when agent starts
type AgentInitializer interface {
    Initialize(ctx context.Context, config interface{}) error
}

// Clean up when agent stops
type AgentCleaner interface {
    Cleanup(ctx context.Context) error
}

// Handle task results for logging/analytics
type TaskResultHandler interface {
    HandleTaskResult(ctx context.Context, taskID, result string) error
}

Agent Types

SimpleOpenAIAgent - The easiest option. Just provide your OpenAI key and you're done. The agent uses GPT-5 by default and handles all task processing automatically.

EnhancedAgent - For custom logic. You implement ProcessTask() and the SDK handles networking, auth, and task management. Use this when you want full control over how your agent responds.

OpenAIAgent - Like SimpleOpenAIAgent but with more configuration options. Customize the model, temperature, system prompt, and streaming behavior.

Programmatic Configuration

config := agent.DefaultConfig()

// Basic info
config.Name = "Weather Agent"
config.Description = "Provides weather information"
config.Capabilities = []string{"weather", "forecast", "temperature"}

// Network (optional - defaults to production endpoints)
config.Room = "weather-agents"  // Join a specific room

// Performance
config.MaxConcurrentTasks = 10
config.TaskTimeout = 60 // seconds

// Rate limiting (0 = unlimited)
config.RateLimitPerMinute = 60 // Limit to 60 tasks per minute

// Health monitoring
config.HealthEnabled = true
config.HealthPort = 8080

// Authentication (required)
config.PrivateKey = os.Getenv("PRIVATE_KEY")

Customizing OpenAI Agents

The OpenAI integration is highly configurable:

agent, err := agent.NewSimpleOpenAIAgent(&agent.SimpleOpenAIAgentConfig{
    PrivateKey: os.Getenv("PRIVATE_KEY"),
    OpenAIKey:  os.Getenv("OPENAI_API_KEY"),

    // Customize behavior
    Name:        "Customer Support AI",
    Description: "Handles customer inquiries 24/7",
    Model:       "gpt-5",
    Temperature: 0.7,
    MaxTokens:   1500,
    Streaming:   false,

    SystemPrompt: `You are a professional customer support agent.
Be helpful, friendly, and solution-oriented.
Keep responses clear and concise.`,

    Capabilities: []string{"support", "troubleshooting", "inquiries"},

    // Optional: Join a specific room
    Room: "support",

    // Optional: Rate limiting to manage costs
    RateLimitPerMinute: 30, // Max 30 requests/minute
})

Health Monitoring

The SDK provides HTTP endpoints automatically:

# Check if agent is alive
curl http://localhost:8080/health

# Get detailed status
curl http://localhost:8080/status

# Get agent info
curl http://localhost:8080/info

Example response:

{
  "status": "operational",
  "connected": true,
  "authenticated": true,
  "active_tasks": 3,
  "uptime": "1h23m15s",
  "agent": {
    "name": "My Agent",
    "version": "1.0.0",
    "wallet": "0x742d35Cc6570E952BE...",
    "capabilities": ["weather", "time"]
  }
}

Rate Limiting

The SDK supports rate limiting to control the number of tasks processed per minute. This helps prevent overload and manage costs for AI-powered agents.

Configuration

Set via environment variable:

# Limit to 60 tasks per minute
RATE_LIMIT_PER_MINUTE=60

# Unlimited (default)
RATE_LIMIT_PER_MINUTE=0

Or programmatically:

config := agent.DefaultConfig()
config.RateLimitPerMinute = 60 // Limit to 60 tasks per minute

Behavior

When the rate limit is exceeded:

Users receive: "⚠️ Agent rate limit exceeded. This agent has reached its maximum request capacity. Please try again in a moment."
Error code: rate_limit_exceeded
The task is automatically rejected without processing

Implementation Details

Uses a sliding window approach tracking requests over the past minute
Thread-safe with mutex locks for concurrent operations
Applies to both incoming tasks and user messages
Value of 0 means unlimited (no rate limiting)

Persistent Caching with Redis

The SDK includes built-in Redis support for persistent data storage across agent restarts. This enables stateful agents that can cache results, maintain session data, and coordinate across multiple instances.

Quick Start

1. Start Redis:

docker run -d -p 6379:6379 redis:latest

2. Enable in your .env:

REDIS_ENABLED=true
REDIS_ADDRESS=localhost:6379

3. Use in your agent:

type MyAgent struct {
    cache cache.AgentCache
}

func (a *MyAgent) Initialize(ctx context.Context, config interface{}) error {
    if ea, ok := config.(*agent.EnhancedAgent); ok {
        a.cache = ea.GetCache()
    }
    return nil
}

func (a *MyAgent) ProcessTask(ctx context.Context, task string) (string, error) {
    // Check cache first
    cached, err := a.cache.Get(ctx, "task:"+task)
    if err == nil {
        return cached, nil // Cache hit
    }

    // Process task
    result := processTask(task)

    // Cache for 5 minutes
    a.cache.Set(ctx, "task:"+task, result, 5*time.Minute)

    return result, nil
}

Features

✅ Automatic key prefixing - No collisions between agents
✅ Graceful degradation - Agent works without Redis
✅ TTL support - Automatic expiration of cached data
✅ Rich API - Set, Get, Increment, Locks, Pattern deletion
✅ Type-safe - Supports strings, bytes, and JSON
✅ Production-ready - Connection pooling, retries, timeouts

Configuration Options

Environment Variable	Description	Default
`REDIS_ENABLED`	Enable Redis caching	`false`
`REDIS_ADDRESS`	Redis server address (host:port)	`localhost:6379`
`REDIS_USERNAME`	Redis ACL username (Redis 6+)	`""`
`REDIS_PASSWORD`	Redis password	`""`
`REDIS_USE_TLS`	Enable TLS/SSL connection	`false`
`REDIS_DB`	Database number (0-15)	`0`
`REDIS_KEY_PREFIX`	Custom key prefix	`teneo:agent:<name>:`

Local Redis:

REDIS_ENABLED=true
REDIS_ADDRESS=localhost:6379

Managed Redis (DigitalOcean, AWS, etc.):

REDIS_ENABLED=true
REDIS_ADDRESS=your-redis-host.com:25061
REDIS_USERNAME=default
REDIS_PASSWORD=your-password
REDIS_USE_TLS=true

Or configure programmatically:

config := agent.DefaultConfig()
config.RedisEnabled = true
config.RedisAddress = "redis.example.com:6379"
config.RedisUsername = "agentuser"  // Redis 6+ ACL username
config.RedisPassword = "secret"
config.RedisUseTLS = true  // For managed Redis

Common Use Cases

Cache API Responses:

// Avoid redundant API calls
data, err := a.cache.Get(ctx, "api:user:123")
if err != nil {
    data = fetchFromAPI("123")
    a.cache.Set(ctx, "api:user:123", data, 10*time.Minute)
}

Distributed Rate Limiting:

// Share rate limits across agent instances
count, _ := a.cache.Increment(ctx, "ratelimit:user:"+userID)
if count > 100 {
    return errors.New("rate limit exceeded")
}

Session Management:

// Persist sessions across restarts
a.cache.Set(ctx, "session:"+id, sessionData, 24*time.Hour)

Distributed Locks:

// Coordinate across multiple instances
acquired, _ := a.cache.SetIfNotExists(ctx, "lock:resource", "1", 30*time.Second)
if !acquired {
    return errors.New("resource locked")
}

Full Documentation

Redis Cache Guide - Complete API reference and examples

Advanced Features

Streaming and Multi-Message Tasks

For long-running tasks, send multiple messages as you process:

type StreamingAgent struct{}

func (a *StreamingAgent) ProcessTaskWithStreaming(ctx context.Context, task string, sender types.MessageSender) error {
    // Send initial acknowledgment
    sender.SendMessage("Starting analysis...")

    // Do some work
    time.Sleep(1 * time.Second)
    sender.SendTaskUpdate("Step 1 complete")

    // More work
    time.Sleep(1 * time.Second)
    sender.SendTaskUpdate("Step 2 complete")

    // Final result
    return sender.SendMessage("Analysis complete! Here are the results...")
}


### Runtime Updates

Update agent capabilities while running:

```go
coordinator := enhancedAgent.GetTaskCoordinator()
coordinator.UpdateCapabilities([]string{"new_capability", "updated_feature"})

Custom Authentication

Access the auth manager for signing:

authManager := enhancedAgent.GetAuthManager()
address := authManager.GetAddress()
signature, err := authManager.SignMessage("custom message")

Error Handling

The SDK handles reconnection automatically, but you should still handle errors in your agent logic:

func (a *MyAgent) ProcessTask(ctx context.Context, task string) (string, error) {
    result, err := a.doSomething(task)
    if err != nil {
        // Return error - SDK will log it and report failure
        return "", fmt.Errorf("failed to process: %w", err)
    }

    // Check context cancellation for long tasks
    select {
    case <-ctx.Done():
        return "", ctx.Err()
    default:
        return result, nil
    }
}

Troubleshooting

Connection issues

Failed to connect to WebSocket

The SDK uses production endpoints by default - ensure the Teneo network is operational
If you've overridden WEBSOCKET_URL, verify it's correct
Check your internet connection and firewall settings

Authentication failed

Authentication failed: invalid signature

Verify PRIVATE_KEY is valid (remove 0x prefix if present)
Ensure the wallet is authorized on the network
Check that the private key matches the expected format

OpenAI errors

OpenAI API error: insufficient credits

Check your OpenAI account has available credits
Verify the API key is valid and active
Ensure the model name is correct (e.g., gpt-5, not gpt5)

Task timeouts

Task timeout after 30 seconds

Increase TaskTimeout in your config
Optimize your ProcessTask implementation
Check for blocking operations or infinite loops

Enable debug logging:

export LOG_LEVEL=debug
go run main.go

Vibe Coding

Wrapping Your Business Logic - Use Claude Code to automatically integrate your code
Running with NFTs - NFT integration guide
Examples - Complete working examples

License

Teneo-Agent-SDK is open source under the AGPL-3.0 license.

Support

Discord: Join our community
Issues: GitHub Issues

Built by the Teneo team ❤️ Start building your agents today.

Name		Name	Last commit message	Last commit date
Latest commit History 55 Commits
.github		.github
cmd		cmd
docs		docs
examples		examples
pkg		pkg
tests		tests
.gitignore		.gitignore
LICENCE		LICENCE
README.md		README.md
SUMMARY.md		SUMMARY.md
go.mod		go.mod

Folders and files

Latest commit

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What You Can Build

Requirements

Quickstart

1. Get SDK

Using with Private Repository (VM/Development)

2. Configure Environment

🛑 BEFORE RUNNING YOUR AGENT: ⛏️ MINT YOUR NFT

Mint via Deploy Platform

3. Run Agent

Example 1: Custom Agent

Example 1: GPT-5 Agent (Simplest - Start Here)

Where Your Agent is Deployed

Visibility Settings

Agent Interface

Optional Interfaces

Agent Types

Programmatic Configuration

Customizing OpenAI Agents

Health Monitoring

Rate Limiting

Configuration

Behavior

Implementation Details

Persistent Caching with Redis

Quick Start

Features

Configuration Options

Common Use Cases

Full Documentation

Advanced Features

Streaming and Multi-Message Tasks

Custom Authentication

Error Handling

Troubleshooting

Vibe Coding

License

Support

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