v2.3.6

What's Changed

• add logstash elk stack by @williamzebrowskI in #29
• org update by @williamzebrowskI in #30

Full Changelog: v2.3.5...v2.3.6

v2.3.5

What's Changed

• es update by @williamzebrowskI in #28

Full Changelog: v2.3.4...v2.3.5

v2.3.4

What's Changed

• widget update by @williamzebrowskI in #27

Full Changelog: v2.3.3...v2.3.4

v2.3.3

What's Changed

• remove es choice by @williamzebrowskI in #25
• org repo by @williamzebrowskI in #26

Full Changelog: v2.3.2...v2.3.3

v2.3.2

What's Changed

• misc updates by @williamzebrowskI in #24

Full Changelog: v2.3.1...v2.3.2

v2.3.1

What's Changed

• update readme by @williamzebrowskI in #22
• update es stack by @williamzebrowskI in #23

Full Changelog: v2.3.0...v2.3.1

v2.3.0

What's New in v2.3.0

🚀 New Features

• Filebeat Integration:
  • Introduced Filebeat to efficiently collect, parse, and forward log data to Elasticsearch.
  • Added a filebeat.yml configuration to manage and monitor log files across your containers.
  • Enabled real-time monitoring of logs, providing deeper insights into system operations and application performance.
  • Logs are now indexed under filebeat-*, making it easier to visualize and analyze using Kibana.

🛠 Improvements

• Enhanced Observability:
  • With Filebeat, you can now easily track log data from various sources, including the application and system logs.
  • Added support for visualizing log data in Kibana, allowing for comprehensive log analysis and troubleshooting.

📂 Project Structure

• New Service in docker-compose.yml:
  • Added a filebeat service to the docker-compose.yml to manage the lifecycle of the Filebeat container.
  • This service is linked to both Elasticsearch and Kibana, ensuring seamless data flow and integration.

📘 Documentation

• Updated documentation to include steps for configuring and using Filebeat with your existing Elasticsearch and Kibana setup.
• Added examples for creating visualizations in Kibana using the data collected by Filebeat.

Full Changelog: GitHub Release

v2.2.0

What's New in Version 2.2.0

Key Update:

🚀- Kibana Integration: We've added Kibana integration to the Assistant API, enabling you to visualize and explore your conversational data stored in Elasticsearch with ease. This integration allows for a more in-depth analysis of interactions, providing a powerful toolset for monitoring, managing, and enhancing your AI-driven conversations.

Highlights:

• Enhanced Data Visualization: Utilize Kibana's rich visualization features to gain insights into your data, create custom dashboards, and set up real-time alerts.
• Seamless Elasticsearch Connectivity: Kibana now connects directly to your Elasticsearch instance, making it simple to explore your indices, search for specific conversations, and manage your data.

This integration is a significant step forward in making the Assistant API more powerful and user-friendly, providing advanced tools to better understand and optimize user interactions.

Contributor:

• Developed by @williamzebrowskI

Full Changelog: https://github.com/williamzebrowskI/assistant-api/commits/v2.2.0