giuseppe-trisciuoglio/developer-kit

Comprehensive developer toolkit providing reusable skills for Java/Spring Boot, TypeScript/NestJS/React/Next.js, Python, PHP, AWS CloudFormation, AI/RAG, DevOps, and more.

Quality

89%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Risky

Do not use without reviewing

Model Reference

Name: giuseppe-trisciuoglio/developer-kit
Rating: 89.68656716417911 (1 reviews)
Author: giuseppe-trisciuoglio

Supported Foundation Models

Amazon Models

Amazon Titan Text

Model ID: amazon.titan-text-express-v1

Description: High-quality text generation model
Context Window: Up to 8K tokens
Languages: English, Spanish, French, German, Italian, Portuguese

Payload Format:

{
    "inputText": "Your prompt here",
    "textGenerationConfig": {
        "maxTokenCount": 512,
        "temperature": 0.7,
        "topP": 0.9
    }
}

Response Format:

{
    "results": [{
        "outputText": "Generated text"
    }]
}

Amazon Titan Text Lite

Model ID: amazon.titan-text-lite-v1

Description: Cost-effective text generation model
Context Window: Up to 4K tokens
Use Case: Simple text generation tasks

Amazon Titan Embeddings

Model ID: amazon.titan-embed-text-v1

Description: High-quality text embeddings
Context Window: 8K tokens
Output: 1024-dimensional vector

Payload Format:

{
    "inputText": "Your text here"
}

Response Format:

{
    "embedding": [0.1, -0.2, 0.3, ...]
}

Amazon Titan Image Generator

Model ID: amazon.titan-image-generator-v1

Description: High-quality image generation
Image Size: 512x512, 1024x1024
Use Case: Text-to-image generation

Payload Format:

{
    "taskType": "TEXT_IMAGE",
    "textToImageParams": {
        "text": "Your description"
    },
    "imageGenerationConfig": {
        "numberOfImages": 1,
        "quality": "standard",
        "cfgScale": 8.0,
        "height": 512,
        "width": 512,
        "seed": 12345
    }
}

Anthropic Models

Claude 3.5 Sonnet

Model ID: anthropic.claude-3-5-sonnet-20241022-v2:0

Description: High-performance model for complex reasoning, analysis, and creative tasks
Context Window: 200K tokens
Languages: Multiple languages supported
Use Case: Code generation, complex analysis, creative writing, research
Features: Tool use, function calling, JSON mode

Payload Format:

{
    "anthropic_version": "bedrock-2023-05-31",
    "max_tokens": 1000,
    "messages": [{
        "role": "user",
        "content": "Your message"
    }]
}

Response Format:

{
    "content": [{
        "text": "Response content"
    }],
    "usage": {
        "input_tokens": 10,
        "output_tokens": 20
    }
}

Claude 3.5 Haiku

Model ID: anthropic.claude-3-5-haiku-20241022-v2:0

Description: Fast and affordable model for real-time applications
Context Window: 200K tokens
Use Case: Real-time applications, chatbots, quick responses
Features: Tool use, function calling, JSON mode

Claude 3 Opus

Model ID: anthropic.claude-3-opus-20240229-v1:0

Description: Most capable model
Context Window: 200K tokens
Use Case: Complex reasoning, analysis

Claude 3 Sonnet (Legacy)

Model ID: anthropic.claude-3-sonnet-20240229-v1:0

Description: Previous generation model
Context Window: 200K tokens
Use Case: General purpose applications

Meta Models

Llama 3.1 70B

Model ID: meta.llama3-1-70b-instruct-v1:0

Description: Latest generation large open-source model
Context Window: 128K tokens
Use Case: General purpose instruction following, complex reasoning
Features: Improved instruction following, larger context window

Llama 3.1 8B

Model ID: meta.llama3-1-8b-instruct-v1:0

Description: Latest generation small fast model
Context Window: 8K tokens
Use Case: Fast inference, lightweight applications

Llama 3 70B

Model ID: meta.llama3-70b-instruct-v1:0

Description: Previous generation large open-source model
Context Window: 8K tokens
Use Case: General purpose instruction following

Payload Format:

{
    "prompt": "[INST] Your prompt here [/INST]",
    "max_gen_len": 512,
    "temperature": 0.7,
    "top_p": 0.9
}

Response Format:

{
    "generation": "Generated text"
}

Llama 3 8B

Model ID: meta.llama3-8b-instruct-v1:0

Description: Smaller, faster version
Context Window: 8K tokens
Use Case: Fast inference, lightweight applications

Stability AI Models

Stable Diffusion XL

Model ID: stability.stable-diffusion-xl-v1

Description: High-quality image generation
Image Size: Up to 1024x1024
Use Case: Text-to-image generation, art creation

Payload Format:

{
    "text_prompts": [{
        "text": "Your description"
    }],
    "style_preset": "photographic",
    "seed": 12345,
    "cfg_scale": 10,
    "steps": 50
}

Response Format:

{
    "artifacts": [{
        "base64": "base64-encoded-image-data",
        "finishReason": "SUCCESS"
    }]
}

Other Models

Cohere Command

Model ID: cohere.command-text-v14

Description: Text generation model
Context Window: 128K tokens
Use Case: Content generation, summarization

Mistral Models

Model ID: mistral.mistral-7b-instruct-v0:2

Description: High-performing open-source model
Context Window: 32K tokens
Use Case: Instruction following, code generation

Model ID: mistral.mixtral-8x7b-instruct-v0:1

Description: Mixture of experts model
Context Window: 32K tokens
Use Case: Complex reasoning tasks

Model Selection Guide

Use Case Recommendations

Use Case	Recommended Models	Notes
General Chat/Chatbots	Claude 3.5 Haiku, Llama 3 8B	Fast response times
Content Creation	Claude 3.5 Sonnet, Cohere	Creative, coherent outputs
Code Generation	Claude 3.5 Sonnet, Llama 3.1 70B	Excellent understanding
Analysis & Reasoning	Claude 3 Opus, Claude 3.5 Sonnet	Complex reasoning
Real-time Applications	Claude 3.5 Haiku, Titan Lite	Fast inference
Cost-sensitive Apps	Titan Lite, Claude 3.5 Haiku	Lower cost per token
High Quality	Claude 3 Opus, Claude 3.5 Sonnet	Premium quality

Performance Characteristics

Model	Speed	Cost	Quality	Context Window
Claude 3 Opus	Slow	High	Excellent	200K
Claude 3.5 Sonnet	Medium	Medium	Excellent	200K
Claude 3.5 Haiku	Fast	Low	Good	200K
Claude 3 Sonnet (Legacy)	Medium	Medium	Good	200K
Llama 3.1 70B	Medium	Medium	Good	128K
Llama 3.1 8B	Fast	Low	Fair	8K
Llama 3 70B	Medium	Medium	Good	8K
Llama 3 8B	Fast	Low	Fair	8K
Titan Express	Fast	Medium	Good	8K
Titan Lite	Fast	Low	Fair	4K

Model Comparison Matrix

Feature	Claude 3	Llama 3	Titan	Stability
Streaming	✅	✅	✅	❌
Tool Use	✅	❌	❌	❌
Image Generation	❌	❌	✅	✅
Embeddings	❌	❌	✅	❌
Multiple Languages	✅	✅	✅	✅
Context Window	200K	8K	8K	N/A
Open Source	❌	✅	❌	✅

Common Model ID Constants

// Claude Models
public static final String CLAUDE_SONNET_45 = "anthropic.claude-sonnet-4-5-20250929-v1:0";
public static final String CLAUDE_HAIKU_45 = "anthropic.claude-haiku-4-5-20251001-v1:0";
public static final String CLAUDE_OPUS_41 = "anthropic.claude-opus-4-1-20250805-v1:0";
public static final String CLAUDE_37_SONNET = "anthropic.claude-3-7-sonnet-20250219-v1:0";
public static final String CLAUDE_35_SONNET_V2 = "anthropic.claude-3-5-sonnet-20241022-v2:0";
public static final String CLAUDE_35_HAIKU = "anthropic.claude-3-5-haiku-20241022-v1:0";

// Llama Models
public static final String LLAMA_33_70B = "meta.llama3-3-70b-instruct-v1:0";
public static final String LLAMA_32_11B = "meta.llama3-2-11b-instruct-v1:0";
public static final String LLAMA_31_405B = "meta.llama3-1-405b-instruct-v1:0";
public static final String LLAMA_31_70B = "meta.llama3-1-70b-instruct-v1:0";
public static final String LLAMA_31_8B = "meta.llama3-1-8b-instruct-v1:0";

// Amazon Titan Models
public static final String TITAN_TEXT_EXPRESS = "amazon.titan-text-express-v1";
public static final String TITAN_TEXT_LITE = "amazon.titan-text-lite-v1";
public static final String TITAN_EMBEDDINGS = "amazon.titan-embed-text-v1";
public static final String TITAN_IMAGE_GENERATOR = "amazon.titan-image-generator-v1";

// Amazon Nova Models
public static final String NOVA_PREMIER = "amazon.nova-premier-v1:0";
public static final String NOVA_PRO = "amazon.nova-pro-v1:0";
public static final String NOVA_LITE = "amazon.nova-lite-v1:0";
public static final String NOVA_CANVAS = "amazon.nova-canvas-v1:0";

// Other Models
public static final String STABLE_DIFFUSION_XL = "stability.stable-diffusion-xl-v1";
public static final String MISTRAL_LARGE_2407 = "mistral.mistral-large-2407-v1:0";
public static final String COHERE_COMMAND = "cohere.command-text-v14";

Model Configuration Templates

Text Generation Template

private static JSONObject createTextGenerationPayload(String modelId, String prompt) {
    JSONObject payload = new JSONObject();

    if (modelId.startsWith("anthropic.claude")) {
        payload.put("anthropic_version", "bedrock-2023-05-31");
        payload.put("max_tokens", 1000);
        payload.put("messages", new JSONObject[]{new JSONObject()
            .put("role", "user")
            .put("content", prompt)
        });
    } else if (modelId.startsWith("meta.llama")) {
        payload.put("prompt", "[INST] " + prompt + " [/INST]");
        payload.put("max_gen_len", 512);
    } else if (modelId.startsWith("amazon.titan")) {
        payload.put("inputText", prompt);
        payload.put("textGenerationConfig", new JSONObject()
            .put("maxTokenCount", 512)
            .put("temperature", 0.7)
        );
    }

    return payload;
}

Image Generation Template

private static JSONObject createImageGenerationPayload(String modelId, String prompt) {
    JSONObject payload = new JSONObject();

    if (modelId.equals("amazon.titan-image-generator-v1")) {
        payload.put("taskType", "TEXT_IMAGE");
        payload.put("textToImageParams", new JSONObject().put("text", prompt));
        payload.put("imageGenerationConfig", new JSONObject()
            .put("numberOfImages", 1)
            .put("quality", "standard")
            .put("height", 512)
            .put("width", 512)
        );
    } else if (modelId.equals("stability.stable-diffusion-xl-v1")) {
        payload.put("text_prompts", new JSONObject[]{new JSONObject().put("text", prompt)});
        payload.put("style_preset", "photographic");
        payload.put("steps", 50);
        payload.put("cfg_scale", 10);
    }

    return payload;
}