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Advanced Agents

Overview​

This guide covers advanced features and capabilities of Gentic agents.

Advanced Configuration​

Custom Models​

const agent = await client.agents.create({
  name: "Custom Model Agent",
  model: {
    provider: "anthropic",
    model: "claude-3-opus",
    parameters: {
      temperature: 0.7,
      maxTokens: 2000
    }
  }
});

Fine-tuning​

const agent = await client.agents.create({
  name: "Fine-tuned Agent",
  model: {
    provider: "openai",
    model: "gpt-4",
    fineTuning: {
      datasetId: "dataset-123",
      epochs: 3
    }
  }
});

Advanced Features​

Memory Management​

  • Short-term memory for conversation context
  • Long-term memory for persistent knowledge
  • Memory pruning strategies

Multi-agent Collaboration​

const workflow = await client.workflows.create({
  name: "Multi-agent Collaboration",
  steps: [
    {
      type: "agent",
      config: {
        agentId: "agent-1",
        role: "researcher"
      }
    },
    {
      type: "agent",
      config: {
        agentId: "agent-2",
        role: "analyst"
      }
    }
  ]
});

Custom Tools​

const agent = await client.agents.create({
  name: "Tool-enabled Agent",
  tools: [
    {
      name: "calculator",
      description: "Performs mathematical calculations",
      parameters: {
        expression: "string"
      }
    }
  ]
});

Best Practices​

  1. Model Selection

    • Choose appropriate model size
    • Consider cost-performance tradeoffs
    • Monitor model performance

  2. Memory Optimization

    • Implement efficient memory strategies
    • Use appropriate retention policies
    • Monitor memory usage

  3. Tool Integration

    • Design clear tool interfaces
    • Implement proper error handling
    • Document tool usage

Next Steps​