Agents Overview

from lyzr import Studio

studio = Studio(api_key="your-api-key")

# Create an agent
agent = studio.create_agent(
    name="Support Bot",
    provider="gpt-4o",
    role="Customer support agent",
    goal="Help customers resolve issues",
    instructions="Be empathetic, concise, and solution-oriented"
)

# Run the agent
response = agent.run("I can't login to my account")
print(response.response)

Create → Configure → Run → Manage

# OpenAI
agent = studio.create_agent(provider="gpt-4o", ...)

# Anthropic
agent = studio.create_agent(provider="claude-sonnet-4.5", ...)

# Google
agent = studio.create_agent(provider="gemini-2.5-pro", ...)

# Full format with provider prefix
agent = studio.create_agent(provider="openai/gpt-4o", ...)

for chunk in agent.run("Tell me a story", stream=True):
    print(chunk.content, end="", flush=True)

from pydantic import BaseModel

class Analysis(BaseModel):
    sentiment: str
    score: float
    summary: str

agent = studio.create_agent(
    name="Analyzer",
    provider="gpt-4o",
    response_model=Analysis
)

result: Analysis = agent.run("Analyze this text...")
print(result.sentiment)  # Type-safe access

agent = studio.create_agent(
    name="Assistant",
    provider="gpt-4o",
    memory=30  # Remember last 30 messages
)

kb = studio.create_knowledge_base(name="Docs")
kb.add_pdf("manual.pdf")

response = agent.run(
    "What's in the manual?",
    knowledge_bases=[kb]
)

def get_weather(city: str) -> str:
    """Get weather for a city"""
    return f"72°F in {city}"

agent.add_tool(get_weather)
response = agent.run("What's the weather in NYC?")

policy = studio.create_rai_policy(
    name="SafePolicy",
    toxicity_threshold=0.3
)

agent = studio.create_agent(..., rai_policy=policy)