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0.6.3

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agensight

A Python SDK for logging and visualizing OpenAI agent interactions

agentsaiclidashboardloggingopenaisdkvisualization
Published5 Jun 2025
Direct dependencies36
Transitive dependenciesNot calculated

README

Version 0.6.3 documentation

Agensight SDK

A simple SDK for tracing and evaluating AI agent workflows.

Installation

pip install --upgrade agensight

Quick Start

from agensight import init, trace, span

# Initialize Agensight
init(name="my-agent")

# Add tracing to your functions
@trace("my_workflow")
def my_function():
    @span()
    def my_subtask():
        # Your code here
        pass
    return my_subtask()

Key Features

1. Tracing

  • Auto-instrumented tracing of LLM calls
  • Function execution tracking
  • Agent interaction monitoring
  • Performance metrics and token usage analytics

2. Evaluation

from agensight.eval.metrics import GEvalEvaluator

# Create custom evaluator
accuracy = GEvalEvaluator(
    name="Accuracy",
    criteria="Evaluate response accuracy",
    threshold=0.7
)

# Use in your code
@span(metrics=[accuracy])
def my_function():
    # Your code here
    pass

3. Local Storage

  • All data stored locally in .agensight
  • No external data uploads
  • Complete privacy and control

Dashboard

Start the dashboard to view traces and metrics:

agensight view

Visit http://localhost:5001 in your browser

Documentation

For detailed documentation, visit our docs.

Support

Join our GitHub Discussions for support and feature requests.

License

MIT License • © 2025 agensight contributors

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Declared dependencies 37

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Distribution files

2 collected
agensight-0.6.3-py3-none-any.whl

bdist_wheel · 1,202.66 KB · Python py3

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agensight-0.6.3.tar.gz

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