AgentNeo
RagaAIPackageGitHub
  • AgentNeo
  • Getting Started
    • Overview
    • Quick Start Guide
    • Installation Guide
  • Features
    • Architecture
    • Basic Usage
    • Components
    • Key Features
    • Dashboard
  • Developer Guide
    • Advanced Usage
    • API Documentation
    • Database
  • Evaluation & Metrics
    • Metric Configuration
    • Overview
    • Supported Metrics
  • Contributing
    • Guidelines
    • Pull Request Process
    • Development Setup
  • Troubleshooting
    • Common Issues and Solutions
    • Frequently Asked Questions
  • Release Information
    • Breaking Changes
    • Version History
  • Reference
    • Glossary
    • Changelog
Powered by GitBook
On this page
  • Basic Setup
  • Adding Traces
  • Viewing Results
  • Complete Example
  1. Getting Started

Quick Start Guide

Get up and running with AgentNeo in minutes!

Basic Setup

from agentneo import AgentNeo, Tracer, Evaluation, launch_dashboard

# Create session and project
neo_session = AgentNeo(session_name="my_session")
neo_session.create_project(project_name="my_project")

# Initialize tracer
tracer = Tracer(session=neo_session)
tracer.start()

Adding Traces

Trace LLM Calls

@tracer.trace_llm("my_llm_call")
async def get_llm_response(prompt):
    # Your LLM call here
    pass

Trace Tools

@tracer.trace_tool("my_tool")
def calculate_metrics(data):
    # Your tool logic here
    pass

Trace Agents

@tracer.trace_agent("my_agent")
def process_task(input_data):
    # Your agent logic here
    pass

Viewing Results

# Stop tracing
tracer.stop()

# Launch dashboard
launch_dashboard(port=3000)

Visit http://localhost:3000 to view your traces and metrics.

Complete Example

from agentneo import AgentNeo, Tracer, Evaluation, launch_dashboard

# Setup
neo_session = AgentNeo(session_name="example_session")
neo_session.create_project(project_name="example_project")
tracer = Tracer(session=neo_session)
tracer.start()

# Define your functions
@tracer.trace_tool("data_processor")
def process_data(data):
    return {"processed": data}

@tracer.trace_agent("main_agent")
def main_agent(input_data):
    processed = process_data(input_data)
    return processed

# Run your application
result = main_agent({"data": "example"})

# Stop and view
tracer.stop()
launch_dashboard(port=3000)
PreviousOverviewNextInstallation Guide

Last updated 6 months ago