skills-library/skills/ai-providers/synthetic-new.md

Skill: AI Provider - synthetic.new

Description

Primary AI provider for the Mylder platform. OpenAI-compatible API with access to DeepSeek, Kimi, and other high-performance models.

Status

PRIMARY - Use for all AI tasks unless fallback needed.

Configuration

provider: synthetic.new
base_url: https://api.synthetic.new/openai/v1
api_key_env: SYNTHETIC_AI_API_KEY
compatibility: openai
rate_limit: 100 requests/minute

Available Models

DeepSeek-V3 (Coding & Implementation)

{
  "model_id": "hf:deepseek-ai/DeepSeek-V3",
  "best_for": ["code_generation", "implementation", "debugging", "refactoring"],
  "context_window": 128000,
  "max_output": 8192,
  "temperature_range": [0.0, 2.0],
  "recommended_temp": 0.3
}

Use when:

• Writing production code
• Debugging issues
• Code refactoring
• API implementation
• Database queries

Kimi-K2-Thinking (Planning & Reasoning)

{
  "model_id": "hf:moonshotai/Kimi-K2-Thinking",
  "best_for": ["planning", "reasoning", "analysis", "architecture"],
  "context_window": 200000,
  "max_output": 4096,
  "temperature_range": [0.0, 1.0],
  "recommended_temp": 0.5
}

Use when:

• Task planning
• Architecture decisions
• Complex reasoning
• Research synthesis
• Trade-off analysis

Model Selection Logic

function selectModel(taskType, complexity) {
  const modelMap = {
    // Planning & Design
    'research': 'hf:moonshotai/Kimi-K2-Thinking',
    'planning': 'hf:moonshotai/Kimi-K2-Thinking',
    'architecture': 'hf:moonshotai/Kimi-K2-Thinking',
    'analysis': 'hf:moonshotai/Kimi-K2-Thinking',

    // Implementation
    'code': 'hf:deepseek-ai/DeepSeek-V3',
    'implementation': 'hf:deepseek-ai/DeepSeek-V3',
    'debugging': 'hf:deepseek-ai/DeepSeek-V3',
    'testing': 'hf:deepseek-ai/DeepSeek-V3',
    'review': 'hf:deepseek-ai/DeepSeek-V3',

    // Default
    'default': 'hf:deepseek-ai/DeepSeek-V3'
  };

  return modelMap[taskType] || modelMap.default;
}

n8n Integration

HTTP Request Node Configuration

{
  "method": "POST",
  "url": "https://api.synthetic.new/openai/v1/chat/completions",
  "headers": {
    "Authorization": "Bearer {{ $env.SYNTHETIC_AI_API_KEY }}",
    "Content-Type": "application/json"
  },
  "body": {
    "model": "hf:deepseek-ai/DeepSeek-V3",
    "messages": [
      { "role": "system", "content": "{{ systemPrompt }}" },
      { "role": "user", "content": "{{ userPrompt }}" }
    ],
    "max_tokens": 4000,
    "temperature": 0.7
  },
  "timeout": 120000
}

Code Node Helper

// AI Request Helper for n8n Code Node
async function callSyntheticAI(systemPrompt, userPrompt, options = {}) {
  const {
    model = 'hf:deepseek-ai/DeepSeek-V3',
    maxTokens = 4000,
    temperature = 0.7
  } = options;

  const response = await $http.request({
    method: 'POST',
    url: 'https://api.synthetic.new/openai/v1/chat/completions',
    headers: {
      'Authorization': `Bearer ${$env.SYNTHETIC_AI_API_KEY}`,
      'Content-Type': 'application/json'
    },
    body: {
      model,
      messages: [
        { role: 'system', content: systemPrompt },
        { role: 'user', content: userPrompt }
      ],
      max_tokens: maxTokens,
      temperature
    }
  });

  return response.choices[0].message.content;
}

Error Handling

Retry Strategy

const retryConfig = {
  maxRetries: 3,
  retryDelay: 1000, // ms
  retryOn: [429, 500, 502, 503, 504],
  fallbackProvider: 'z.ai' // Switch to fallback after max retries
};

Common Errors

Error Code	Cause	Action
401	Invalid API key	Check SYNTHETIC_AI_API_KEY
429	Rate limit	Retry with backoff or fallback to z.ai
500	Server error	Retry or fallback
Timeout	Long response	Increase timeout or reduce max_tokens

Cost Optimization

Token Estimation

// Rough estimate: 1 token ≈ 4 characters
function estimateTokens(text) {
  return Math.ceil(text.length / 4);
}

// Budget check before request
function checkBudget(input, maxOutput, budgetTokens) {
  const inputTokens = estimateTokens(input);
  const totalEstimate = inputTokens + maxOutput;
  return totalEstimate <= budgetTokens;
}

Best Practices

1. Use appropriate model - Kimi for reasoning, DeepSeek for coding
2. Set max_tokens wisely - Don't over-allocate
3. Cache common responses - Use KV store for repeated queries
4. Batch similar requests - Group related tasks

Testing

# Test API connection
curl -X POST https://api.synthetic.new/openai/v1/chat/completions \
  -H "Authorization: Bearer $SYNTHETIC_AI_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "hf:deepseek-ai/DeepSeek-V3",
    "messages": [{"role": "user", "content": "Hello"}],
    "max_tokens": 50
  }'

Related Skills

• ai-providers/z-ai.md - Fallback provider
• code/implement.md - Code generation with AI
• design-thinking/ideate.md - Solution brainstorming

Token Budget

• Max input: 500 tokens
• Max output: 800 tokens

Model

• Recommended: haiku (configuration lookup)