chore:(refactor) - plugin-local-ai-final

[AIFlowML]

The Local AI run on R1 models from Deepseek.
All the features are tested but the TTS.
Added the mananer for the Studio LM
Added the manager for the Ollama (very bad performances)

Summary by CodeRabbit

• New Features

  • Introduced a configurable "Local AI Configuration" section with new environment variables for managing local AI integrations.
  • Enabled dynamic text generation with support for multiple model sources, enhancing flexibility between different AI providers.
  • Added dedicated management modules for interacting with external text and speech generation services.

• Refactor

  • Improved configuration validation, error handling, and logging throughout local AI components.
  • Enhanced the model download and text-to-speech processes for increased reliability.

[coderabbitai]

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Walkthrough

This pull request updates local AI configurations by adding new environment variables in the .env.example file. It removes the old node configuration validation file and introduces a new Zod-based configuration schema in the codebase. The LocalAIManager class is enhanced with new methods for text generation and initialization of StudioLM and Ollama managers. New singleton manager classes for handling StudioLM and Ollama server interactions are added, and several utility files are updated with improved logging, error handling, and a renamed TTS model.

Changes

File(s)	Change Summary
.env.example, packages/plugin-local-ai/environment.ts, packages/plugin-local-ai/src/environment.ts	Added new local AI environment variables, removed deprecated configuration validation file, and introduced a new Zod-based config schema with validation functions.
packages/plugin-local-ai/src/index.ts	Enhanced LocalAIManager with a new text generation method (generateTextOllamaStudio), added initialization routines for StudioLM and Ollama managers, and expanded logging with error handling.
packages/plugin-local-ai/src/utils/ollamaManager.ts, packages/plugin-local-ai/src/utils/studiolmManager.ts	Introduced new singleton manager classes to handle interactions with Ollama and StudioLM servers, including initialization, status checks, and text generation.
packages/plugin-local-ai/src/types.ts, packages/plugin-local-ai/src/utils/downloadManager.ts, packages/plugin-local-ai/src/utils/ttsManager.ts, packages/plugin-local-ai/src/utils/visionManager.ts	Updated TTS model naming convention, improved download URL construction and logging, enhanced error handling in TTS and download managers, and commented out an extraneous logging statement in the vision manager.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant LocalAIManager
    participant StudioLMManager
    participant OllamaManager

    Client->>LocalAIManager: Request generateTextOllamaStudio(params)
    LocalAIManager->>LocalAIManager: Validate environment config
    alt StudioLM selected
        LocalAIManager->>StudioLMManager: Initialize/check status & fetch models
        StudioLMManager-->>LocalAIManager: Return generated text
    else Ollama selected
        LocalAIManager->>OllamaManager: Initialize/check server status & fetch models
        OllamaManager-->>LocalAIManager: Return generated text
    end
    LocalAIManager->>Client: Return generated text response

Loading

Suggested labels

Plugin_new, needs_documentation, Needs Testing

Poem

In lines of code, fresh and bright,
Local AI springs to life tonight.
Managers for StudioLM and Ollama arise,
Validations clear under open skies.
Logs and models dance in code's gleam,
A new era of tech, more than just a dream! 🚀
Cheers to progress with every byte!

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[wtfsayo]

@coderabbitai add summary

[coderabbitai]

🧩 Analysis chain

🏁 Script executed:

#!/bin/bash
# Fetch PR details using GitHub CLI
gh pr view 3663 --json title,body,additions,deletions,changedFiles

# List all files changed in this PR
gh pr view 3663 --json files --jq '.files[].path'

# Show a short summary of the changes to understand their nature
gh pr diff 3663 --stat

Length of output: 1286

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🏁 Script executed:

#!/bin/bash
# Let's look at the files changed to understand the PR better
# First check the main changes in the index.ts file
gh pr diff 3663 --name-only

# Let's look at some of the key files in detail
gh pr diff 3663 -- packages/plugin-local-ai/src/index.ts
gh pr diff 3663 -- packages/plugin-local-ai/src/types.ts
gh pr diff 3663 -- packages/plugin-local-ai/src/utils/studiolmManager.ts
gh pr diff 3663 -- packages/plugin-local-ai/src/utils/ollamaManager.ts

Length of output: 930

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🏁 Script executed:

#!/bin/bash
# Let's look at the index.ts file which is a central part of this PR
cat packages/plugin-local-ai/src/index.ts

# Look at the types.ts file to understand the API structure
cat packages/plugin-local-ai/src/types.ts

# Look at the new manager files
cat packages/plugin-local-ai/src/utils/studiolmManager.ts
cat packages/plugin-local-ai/src/utils/ollamaManager.ts

Length of output: 69126

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@wtfsayo: Based on my analysis of the PR, here's a comprehensive summary:

PR Summary: Refactor - plugin-local-ai-final

This PR enhances the Local AI plugin by adding support for multiple AI model providers while maintaining backward compatibility with existing local implementations. The key features include:

Core Enhancements

• Integration of R1 models from Deepseek for improved local model performance
• Added Studio LM manager for connecting to Studio LM API servers
• Added Ollama manager for integration with Ollama (noted with performance issues)
• Text generation backend system that can switch between local, StudioLM, and Ollama providers
• Environment variable configuration to control which backend is used

Architecture

• Follows a singleton manager pattern with separate managers for each provider
• Includes comprehensive initialization and testing for each model provider
• Implements fallback mechanisms if preferred providers fail
• Maintains backward compatibility with the existing API surface

Capabilities

• Text generation with small and medium-sized models
• Text embedding generation
• Vision model integration for image description
• Transcription capabilities for audio processing
• Text-to-speech functionality (implemented but not fully tested)

Configuration

• Environment variables to control which text model source to use
• Configurable model paths and cache directories
• Support for different model sizes and quantization levels

All features have been tested and are functional except for the TTS (Text-to-Speech) component.

✅ Actions performed

Summary regeneration triggered.

[wtfsayo]

going to merge before things pile up;

Will report testing later in discord