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Releases: raga-ai-hub/AgentNeo

1.2.2

14 Dec 06:35
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Full Changelog: 1.2.1...1.2.2

v1.2.1

29 Oct 14:37
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What's Changed

  • Resolve mis-click issue in multiple components in Analytics Page
  • Resolve UI bugs in Evaluation Page
  • Correct the port variable name in launch_dashboard preventing the dashboard from opening
  • Remove the behaviour where empty rectangle space appeared in the pages' bottom when they are scrolled to the bottom
  • Handle null duration case that causes the Trace History page to be empty

1.2

29 Oct 03:38
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1.2

Major Features

  • Add Flask Server to server API Endpoints for Database access, removing the dependence on frontend to
  • Add Analytics Page to view Trace Analytics using new API endpoints for database access.
  • Rewrote the Trace History page to use APIs for database access
  • Add Trace Details Panel to Trace History and Evaluation pages
  • Improved Evaluation Metrics
  • Enhanced various dashboard components
  • Improved error handling
  • Add more Documentation
  • Add integration examples for LangGraph, OpenAI Swarm

Minor Improvements

  • Performance optimizations
  • Better error messages
  • Documentation updates
  • Bug fixes

What's Changed

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Full Changelog: 1.1.2...1.2

1.1.2

21 Oct 06:30
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1.1.1

17 Oct 06:13
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Package

agentneo==1.1.1

Full Changelog: v1.0.0...1.1.1

AgentNeo v1.1 Beta 2

16 Oct 04:27
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AgentNeo v1.1 Beta 2 Pre-release
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AgentNeo v1.1 Beta 0

14 Oct 03:45
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AgentNeo v1.1 Beta 0 Pre-release
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Full Changelog: v1.0.0...1.1

v1.0.0

27 Sep 17:23
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AgentNeo v1.0.0

We're excited to announce the initial release of AgentNeo, an open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework.

What's New

  • Initial release of AgentNeo core functionality
  • Tracing capabilities for LLM calls, agents, and tools
  • Interactive dashboard for visualization and analysis
  • SQLite and JSON-based data storage
  • Project management features
  • Execution graph visualization

Features

  • Trace LLM Calls: Monitor calls from providers like OpenAI and LiteLLM
  • Trace Agents and Tools: Instrument and monitor your custom agents and tools
  • Monitor Interactions: Track tool and agent interactions
  • Collect Metrics: Gather data on token usage, costs, and execution time
  • Flexible Data Storage: Use SQLite databases and JSON log files
  • Simple Instrumentation: Utilize decorators for easy code instrumentation
  • Interactive Dashboard: Visualize trace data and execution graphs
  • Project Management: Handle multiple projects within the framework
  • Evaluation Tools: Assess AI agent performance

Installation

pip install agentneo

Quick Start

from agentneo import AgentNeo, Tracer, launch_dashboard

neo_session = AgentNeo(session_name="my_session")
neo_session.create_project(project_name="my_project")

tracer = Tracer(session=neo_session, log_file_path="trace.json")
tracer.start()

# Instrument your code here

tracer.stop()

launch_dashboard(port=3000)

Requirements

  • Python 3.8+
  • Node.js 14+
  • npm 6+ or yarn 1.22+

Documentation

For detailed usage instructions, visit our official documentation.

What's Next

We're actively working on:

  • Support for additional LLMs
  • Integration with AutoGen, CrewAI, and Langraph
  • Enhanced logging capabilities
  • Custom agent orchestration support

Contributing

We welcome contributions! Please check our contribution guidelines to get started.

License

AgentNeo is released under the (https://github.com/raga-ai-hub/agentneo/blob/main/LICENSE).