from agi import AGIClient
client = AGIClient()
with client.session("agi-0") as session:
result = session.run_task(
"Find three nonstop flights from SFO to JFK next month under $450. "
"Return flight times, airlines, and booking links."
)
print(result)
Powered by AGI.tech - the world's most capable computer agent. Trusted by Visa for agentic commerce. Evaluated with REAL Bench.
Installation
pip install agi-python
Get your API key at platform.agi.tech
export AGI_API_KEY="your-api-key"
Quick Start
Simple Task
from agi import AGIClient
client = AGIClient()
with client.session("agi-0") as session:
result = session.run_task("Find the cheapest iPhone 15 on Amazon")
print(result)
Real-Time Event Streaming
with client.session("agi-0") as session:
session.send_message("Research the top 5 AI companies in 2025")
for event in session.stream_events():
if event.event == "thought":
print(f"💭 Agent: {event.data}")
elif event.event == "done":
print(f"✅ Result: {event.data}")
break
Session Control
with client.session("agi-0") as session:
session.send_message("Long research task...")
# Control execution
session.pause() # Pause the agent
session.resume() # Resume later
session.cancel() # Or cancel
Core Concepts
Understanding the building blocks of agi
Sessions: The Container for Tasks
Every task runs inside a session - an isolated browser environment:
# Context manager (recommended) - automatic cleanup
with client.session("agi-0") as session:
session.run_task("Find flights...")
# Manual management - full control
session = client.sessions.create(agent_name="agi-0")
client.sessions.send_message(session.session_id, "task")
client.sessions.delete(session.session_id)
▸ Use context managers for most tasks. Use manual management when you need fine-grained control.
Available Agents
- agi-0 - General purpose agent (recommended)
- agi-0-fast - Faster agent for simple tasks
- agi-1 - Advanced agent with enhanced capabilities
See docs.agi.tech for the full list.
Features
- Natural Language - Describe tasks in plain English, no selectors or scraping code
- Real-Time Streaming - Watch agent execution live with Server-Sent Events
- Session Control - Pause, resume, or cancel long-running tasks
- Browser Control - Navigate and screenshot for visual debugging
- Type-Safe - Full type hints with Pydantic validation
- Production-Ready - Built-in retries, automatic cleanup, comprehensive error handling
Common Use Cases
Price Monitoring
Monitor product prices and availability across retailers.
with client.session("agi-0") as session:
result = session.run_task(
"Go to amazon.com and search for 'Sony WH-1000XM5'. "
"Get the current price, check if it's in stock, and return the product rating. "
"Return as JSON with fields: price, in_stock, rating, url."
)
Lead Generation
Extract structured data from public sources.
with client.session("agi-0") as session:
result = session.run_task(
"Go to ycombinator.com/companies, find companies in the 'AI' category "
"from the latest batch. For the first 10 companies, get their name, "
"description, and website. Return as a JSON array."
)
Flight Booking Research
with client.session("agi-0") as session:
result = session.run_task(
"Find three nonstop SFO→JFK flights next month under $450. "
"Compare prices on Google Flights, Kayak, and Expedia. "
"Return flight details and booking links."
)
Browser Control – Navigate and take screenshots for visual debugging
with client.session("agi-0") as session:
# Navigate to specific URL
session.navigate("https://amazon.com")
# Get screenshot for debugging
screenshot = session.screenshot()
print(screenshot.url) # Current page URL
print(screenshot.title) # Page title
# screenshot.screenshot contains base64 JPEG data
Session Snapshots – Preserve authentication and browser state
# Create session and save environment
session1 = client.sessions.create(agent_name="agi-0")
# ... do some work ...
client.sessions.delete(session1.session_id, save_snapshot_mode="filesystem")
# Later, restore from saved environment
session2 = client.sessions.create(
agent_name="agi-0",
restore_from_environment_id=session1.environment_id
)
# Authentication state and cookies preserved!
Advanced Session Management – Full control over session lifecycle
# Create session manually
session = client.sessions.create(
agent_name="agi-0-fast",
webhook_url="https://yourapp.com/webhook",
max_steps=200
)
# Send message
client.sessions.send_message(
session.session_id,
"Find flights from SFO to JFK under $450"
)
# Check status
status = client.sessions.get_status(session.session_id)
print(status.status) # "running", "finished", etc.
# List all sessions
sessions = client.sessions.list()
# Delete when done
client.sessions.delete(session.session_id)
Webhooks – Get notified when tasks complete
session = client.sessions.create(
agent_name="agi-0",
webhook_url="https://yourapp.com/webhook"
)
# Your webhook will receive events:
# POST https://yourapp.com/webhook
# {
# "event": "done",
# "session_id": "sess_...",
# "data": {...}
# }
Client-Driven Sessions – Run agents on desktop, mobile, or custom environments
Note: Desktop mode is currently feature-gated. For enterprise access, contact
partner@theagi.company.
For scenarios where you control the execution environment (desktop automation, mobile apps, custom browsers), use client-driven sessions with AgentLoop:
import asyncio
from agi import AGIClient, AgentLoop
async def main():
client = AGIClient()
# Create a client-driven session
session = client.sessions.create(
agent_name="agi-2-claude",
agent_session_type="desktop",
goal="Open calculator and compute 2+2"
)
# Define your callbacks
async def capture_screenshot() -> str:
# Return base64-encoded screenshot from your environment
return "..."
async def execute_actions(actions):
for action in actions:
print(f"Executing: {action['type']}")
# Execute action in your environment
# Create and run the loop
loop = AgentLoop(
client=client,
agent_url=session.agent_url,
capture_screenshot=capture_screenshot,
execute_actions=execute_actions,
on_thinking=lambda t: print(f"💭 {t}"),
)
result = await loop.start()
print(f"Finished: {result.finished}")
asyncio.run(main())
Loop Control:
# Start in background
task = asyncio.create_task(loop.start())
# Pause/resume/stop
loop.pause() # Pause after current step
loop.resume() # Continue execution
loop.stop() # Stop the loop
# Check state
loop.state # LoopState.RUNNING, PAUSED, STOPPED, FINISHED
loop.current_step # Current step number
loop.last_result # Last StepDesktopResponse
Manual Step Control:
# Or manage the loop yourself
while not finished:
screenshot = capture_screenshot()
result = client.sessions.step(session.agent_url, screenshot)
execute_actions(result.actions)
finished = result.finished
Error Handling
Robust error handling with detailed debugging
from agi import (
AGIClient,
AuthenticationError,
NotFoundError,
RateLimitError,
AgentExecutionError
)
client = AGIClient()
try:
with client.session("agi-0") as session:
result = session.run_task("Find flights...")
except AuthenticationError:
print("Invalid API key")
except NotFoundError:
print("Session not found")
except RateLimitError:
print("Rate limit exceeded - please retry")
except AgentExecutionError as e:
print(f"Task failed: {e}")
# Debug at VNC URL if available
except AGIError as e:
print(f"API error: {e}")
Documentation & Resources
Learn More
- API Reference – Complete API documentation
- Code Examples – Working examples for common tasks
- GitHub Issues – Report bugs or request features
Get Help
- Platform – Manage API keys and monitor usage
- Documentation – Guides and tutorials
License
MIT License - see LICENSE for details.
Metadata
Release files for agi-python 0.5.1
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| File | Size | Uploaded | Provenance | |
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|---|---|---|---|---|
| agi_python-0.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 85.6 kB
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| Uploaded via |
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