DEV_ASSISTENTE Download - DEV_ASSISTENTE Source code download

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ASSISTENTE.DEV - Your Coding Companion

QUICK LINKS: APP Demo | Website | Nuget

DOCKER IMAGES: UI | API | WORKER | DB UPGRADER | PLAYGROUND

Video Explainer

Phases:

TODO:

Loading and parsing *.md files - knowledge base
Loading and parsing *.cs files - code base
Find open source solution for creating embeddins
- Done partially (currently in use OpenAI embedding service)
Integration with Qdrant - saving embeddings

Generating prompt based on the 'knowledge base' & 'code base'
- Generate prompt based on 'knowledge base'
- Generate prompt based on 'code base'
Integration with the OpenAI API
Add usage of MediatR and prepare Command & Queries libraries
Generating answers or ready code (in console app) - depending on what the user needs
Add UI in Blazor
- Upload sample notes and code from DEV_ASSISTENTE repository for demo purpose
- Generating answers asynchronously (RabbitMQ + SignalR)
- Display resources list
- Display asked questions with answers list
Switch from MSSQL to PostgreSQL
Configure VPS to host all environment
Add support for separated scenario for CODE generation
- Add table QuestionFiles to save information about select files based on question

Configure OTEL collector: TUTORIAL
- Metrics integration with Prometheus and Graphana - TUTORIAL
- Traces integration with SEQ (Jaeger shoud be replaces with SEQ)
Integrate LLamaSharp for embeding creation
Save all content from the file (C# code) and use it at the end of the process in context instead of snippets.
Add Tool which can search in Google (will be use as OpenAi function) + whitelisted resource domains
Saving (to knowledge base) and analyzing tech newsletters

Fill out the settings file appsettings.json - QUICK LINK
- Llm_ApiKey - <API_KEY>
- Llm_OrganizationId - <ORG_ID>
- Llm_ProjectId - <PROJ_ID>
- Embeddings_ApiKey - <API_KEY>
- Embeddings_OrganizationId - <ORG_ID>
- Embeddings_ProjectId - <PROJ_ID>
Fill out the .env file - QUICK LINK
- OpenAi_ApiKey - <API_KEY>
- OpenAi_OrganizationId - <ORG_ID>
- OpenAi_ProjectId - <PROJ_ID>

Prerequisites: Docker

Fill out the settings file (appsettings.json) and (.env) from CONFIGURATION section
Run start-enviroment.ps1 script with parameters:
- Firstly with -s - to start required services
- Secondly with -d - to upgrade and migrate database
- Thirdly with -a - to start assistente application
- Fourthly with -p - to learn assistente
Voila! Currently you can go to https://localhost:1008

Service	Port	Information	Metrics URL	Access
PostreSQL	1000	Database	-	-
PgAdmin	1001	Database UI	-	L: `[email protected]`, P: `admin`
Qdrant	1002	API & UI (dashboard)	`/metrics`	-
Qdrant	1003	Search Engine	-	-
RabbitMq	1004	AMPQ Connection	-	-
RabbitMq	1005	RabbitMq UI	-	-
RabbitMq	1013	RabbitMq Metrics	`/metrics`	-
Seq	1006	UI	-	-
Seq	1007	Logs API	-	-
Blazor UI	1008	Assistente UI	-	-
Internal API	1009	Assistente API	`/metrics`	-
Worker	1010	Assistente worker	`/metrics`	-
Jaeger	1011	OpenTelemetry Collector	-	-
Jaeger	1012	UI	-	-
Jaeger	1014	API	`/metrics`	-

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