# Developer Resources

### Comprehensive SDKs

Nyx provides fully documented SDKs to accelerate the development and deployment of specialized AI Agents in blockchain projects:

* **Quick Integration:** Seamlessly incorporate Nyx tools into existing blockchain workflows with minimal effort.
* **Customizable Agents:** Modify and adapt AI Agents for specific use cases like liquidity optimization or governance automation.
* **Secure Operations:** Utilize cryptographic verification to ensure tamper-proof interactions and reliable transactions.

```rust
    use nyx_sdk::{Agent};

    fn main() {
        let agent = Agent::new("api_key_here");
        println!("Nyx AI Agent initialized: {:?}", agent);
    }
    
```

### Developer Portal

The Nyx Developer Portal enhances developer workflows by offering:

* **Proposal Submission:** Submit proposals for new AI Agent capabilities or enhancements to existing ones.
* **Performance Tracking:** Monitor the effectiveness and results of deployed agents in real-time.
* **Fee Transparency:** View submission fees and their role in sustaining the ecosystem.

### Developer Dashboard

The Nyx Developer Dashboard simplifies infrastructure management by providing:

* **API Key Management:** Generate and manage API keys for agent workflows, assignable to teams or projects.
* **Agent Activity Logs:** Access real-time logs to monitor performance and troubleshoot operations.
* **Workflow Insights:** Analyze deployment success rates and identify areas for improvement.

### Robust API Documentation

Nyx’s comprehensive API documentation ensures developers can implement agent functionality efficiently:

* **Endpoint Overviews:** Detailed guides for API endpoints, including parameters and responses.
* **Code Examples:** Ready-to-use examples for deploying workflows in Rust, Python, and JavaScript.
* **Sandbox Environment:** Test API calls safely without impacting live data.

```rust
    use nyx_sdk::{Agent, Workflow};

    fn main() {
        let mut agent = Agent::new("api_key_here");
        let workflow = Workflow::new("Arbitrage Trading", vec!["market_data"]);

        match agent.deploy(workflow) {
            Ok(response) => println!("Workflow deployed: {:?}", response),
            Err(e) => println!("Error deploying workflow: {:?}", e),
        }
    }
    
```

### Open-Source Libraries

Nyx fosters transparency and collaboration with open-source libraries:

* **Accelerate Development:** Prebuilt libraries simplify common tasks like cryptographic validation.
* **Community Contributions:** Developers can propose enhancements and integrate external tools with Nyx agents.

```rust
    git clone https://github.com/nyx-agent/nyx-sdk.git
    cd nyx-sdk
    cargo build
    
```

### Community Support

Nyx empowers developers through an active and collaborative community:

* **Forums:** Engage with other developers to exchange ideas and solve challenges.
* **Workshops:** Participate in sessions on advanced capabilities and best practices for agent deployment.
* **Platform Influence:** Provide feedback and influence Nyx’s future developments.

```rust
    use nyx_sdk::{ProofValidator, Proof};

    fn main() {
        let proof = Proof::new("transaction_id_here");
        let validator = ProofValidator::new();

        match validator.validate(proof) {
            Ok(valid) => println!("Proof is valid: {}", valid),
            Err(e) => println!("Validation error: {:?}", e),
        }
    }
    
```

With advanced SDKs, a robust developer portal, and open-source resources, Nyx equips developers to create, deploy, and scale blockchain-native AI Agents with confidence.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://agentsai.gitbook.io/nyx/documentation/developer-resources.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
