CSharpEssentials.LoggerHelper 4.0.9.1

📦 CSharpEssentials.LoggerHelper

The ultimate Serilog sink hub — extensible, modular, centralized.

🚀 Major Update: AI Integration for Advanced Observability!

We are excited to announce a significant enhancement to the CSharpEssentials ecosystem with the introduction of the new AI package:

✨ New Package: CSharpEssentials.LoggerHelper.AI

This add-on package integrates Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) directly into your logging and tracing workflow. It enables powerful, AI-driven diagnostic actions, including:

• RAG Querying: Ask natural language questions against your logs via dynamic SQL (MS SQL/PostgreSQL).
• Correlate Trace: Pinpoint the root cause of failures and timeouts in distributed traces.
• Detect Anomaly: Identify statistical anomalies in metrics.
• Summarize Incident: Get concise, AI-generated root cause summaries.

📊 Dashboard Package Updated

The companion package, CSharpEssentials.LoggerHelper.Dashboard, has been fully updated to seamlessly support all new AI capabilities. You can now configure and execute all the new LLM variants (RAG, Anomaly Detection, etc.) dynamically through a user-friendly interface.

💡 Why CSharpEssentials.LoggerHelper?

CSharpEssentials.LoggerHelper is not just another logging library — it’s a smart hub for Serilog sinks.
Thanks to its modular architecture, you can plug in only the sinks you need.

Key strengths include:

• Centralized & flexible configuration – Choose which sinks receive which log levels using appsettings.LoggerHelper.json. For example, send only Error messages to Email while routing all logs to ElasticSearch. No code changes required.

• *- Unified observability & dashboard – The Sink.Telemetry package integrates logs, metrics and traces via OpenTelemetry. Each log entry carries a trace_id so you can correlate distributed requests. An interactive dashboard lets you visualize traces, sink errors and telemetry, and configure alerts.

• Structured properties & enrichment – Standard fields like IdTransaction, ApplicationName, MachineName and Action are included by default. You can add custom properties (e.g., username, IP) with enricher functions, and they'll appear across all sinks.

• Modular architecture & error inspection – Each sink (Console, File, MSSQL, PostgreSQL, ElasticSearch, Email, Telegram, xUnit, Telemetry) is a separate NuGet package. Install only what you need; the core loads them dynamically. It also exposes CurrentError and an in-memory Errors queue to help debug initialization failures.

🧠 Error Insight Built-In:
When something goes wrong, you can inspect:

• CurrentError: the last exception message
• Errors: the complete in-memory queue of failures
  Perfect for debugging deployment or configuration issues.

🆕 What’s New in 3.1.5?

✨ Added Sink: xUnit

When running tests in environments like DevOps pipelines, DBs and external endpoints may not always be accessible.
No worries — with the xUnit sink, you get a full trace of failed tests directly inside your test output.
Just install the package and define your desired levels (Information, Warning, Error, etc.).

Perfect for debugging flaky tests or disconnected environments.

🔌 Available Sink Packages

• Console: CSharpEssentials.LoggerHelper.Sink.Console
• File: CSharpEssentials.LoggerHelper.Sink.File
• MSSqlServer: CSharpEssentials.LoggerHelper.Sink.MSSqlServer
• PostgreSQL: CSharpEssentials.LoggerHelper.Sink.PostgreSql
• ElasticSearch: CSharpEssentials.LoggerHelper.Sink.Elasticsearch
• Telegram: CSharpEssentials.LoggerHelper.Sink.Telegram Used via HttpClient
• Email: CSharpEssentials.LoggerHelper.Sink.EmailUsed via System.Net.Mail
• xUnit: CSharpEssentials.LoggerHelper.Sink.xUnit ✅ ( new from 3.1.5 )
• "Telemetry": CSharpEssentials.LoggerHelper.Sink.Telemetry collects logs, metrics and traces using OpenTelemetry.
• "DashBoard": CSharpEssentials.LoggerHelper.Dashboard giving you real-time visibility into how sinks are loaded and use AI.
• "AI": CSharpEssentials.LoggerHelper.AI AI-Powered Observability & Root Cause Analysis.

👉 Check out how to use the package in the documentation
📖 View the usage guide here!