Creating an Agent
Create an AI agent with specific capabilities:Copy
agent = client.agents.create(
name="Research Assistant",
model="claude-3.5-sonnet", # or any supported model
about="A helpful research assistant that can search and summarize information.",
metadata={
"expertise": "research",
"language": "english"
}
)
Retrieving Agents
Copy
# Get a specific agent
agent = client.agents.get(agent_id="agent_123")
# List all agents
agents = client.agents.list(
limit=10,
offset=0,
metadata_filter={"expertise": "research"}
)
Updating Agents
Copy
updated_agent = client.agents.update(
agent_id="agent_123",
name="Advanced Research Assistant",
metadata={"expertise": ["research", "analysis"]}
)
Managing Agent Tools
Add capabilities to your agent by attaching tools:Copy
# Add a web search tool
client.agents.tools.create(
agent_id=agent.id,
name="web_search",
description="Search the web for information",
integration={
"provider": "brave",
"method": "search",
"setup": {"brave_api_key": "your_brave_api_key"}
}
)
# List agent's tools
tools = client.agents.tools.list(agent_id=agent.id)
# Remove a tool
client.agents.tools.delete(
agent_id=agent.id,
tool_id="tool_123"
)
Working with Documents
Manage documents associated with your agent:Copy
# Add a document
doc = client.agents.docs.create(
agent_id=agent.id,
title="Research Paper",
content="Content of the research paper...",
metadata={"category": "science"}
)
# Search documents
results = client.agents.docs.search(
agent_id=agent.id,
text="quantum physics",
metadata_filter={"category": "science"},
limit=5
)
# Delete a document
client.agents.docs.delete(
agent_id=agent.id,
doc_id="doc_123"
)
Deleting Agents
Copy
client.agents.delete(agent_id="agent_123")
Error Handling
Copy
from julep.exceptions import JulepError, AgentNotFoundError
try:
agent = client.agents.get("nonexistent_id")
except AgentNotFoundError:
print("Agent not found")
except JulepError as e:
print(f"An error occurred: {e}")