Creating Agents

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Overview

Agents in Julep are AI-powered entities that can execute tasks and interact with users. This guide will walk you through the process of creating and configuring agents.

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Creating an Agent

You can create an agent using either the Python or Node.js SDK:

from julep import Julep

client = Julep(api_key="your_api_key")

agent = client.agents.create(
    name="My Agent",
    model="claude-3.5-sonnet",
    about="A helpful AI assistant that specializes in data analysis"
)

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Agent Configuration Options

When creating an agent, you can specify several configuration options:

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Supported Models

Julep supports various language models:

• Anthropic Models
  • claude-3.5-sonnet
  • claude-3.5-opus
  • claude-2.1
  • claude-2.0
• OpenAI Models
  • gpt-4
  • gpt-4-turbo
  • gpt-3.5-turbo

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Best Practices

1. Clear Purpose: Give your agent a clear, specific purpose through the about field
2. Appropriate Model: Choose a model that matches your needs in terms of capability and cost
3. Descriptive Name: Use a name that reflects the agent’s purpose
4. Metadata: Use metadata to store configuration that might need to change

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Example: Creating a Specialized Agent

Here’s an example of creating a more specialized agent with metadata and tools:

agent = client.agents.create(
    name="Research Assistant",
    model="claude-3.5-sonnet",
    about="An AI assistant specialized in academic research and paper analysis",
    metadata={
        "expertise": ["academic research", "paper analysis"],
        "language": "en",
        "max_papers_per_session": 5
    }
)

# Add tools to the agent
client.agents.tools.create(
    agent_id=agent.id,
    name="arxiv_search",
    description="Search for academic papers on arXiv",
    integration={
        "provider": "arxiv",
        "method": "search"
    }
)

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Managing Agents

Once created, you can manage your agents:

# List all agents
agents = client.agents.list()

# Get a specific agent
agent = client.agents.get(agent_id="agent_id")

# Update an agent
agent = client.agents.update(
    agent_id="agent_id",
    metadata={"new_config": "value"}
)

# Delete an agent
client.agents.delete(agent_id="agent_id")

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Next Steps

After creating your agent, you might want to:

1. Add tools to your agent
2. Configure agent memory
3. Create tasks for your agent