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Co-authored-by: codeacula <5453902+codeacula@users.noreply.github.com>
Co-authored-by: codeacula <5453902+codeacula@users.noreply.github.com>
Co-authored-by: codeacula <5453902+codeacula@users.noreply.github.com>
Co-authored-by: codeacula <5453902+codeacula@users.noreply.github.com>
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Pull Request Overview
This PR implements a comprehensive AI Personality system that supports both OpenAI and Google Gemini providers, enabling users to create reusable AI assistants with customizable behavior and provider-specific settings including Gemini's content filtering sensitivity controls.
- Adds multi-provider AI integration with OpenAI GPT and Google Gemini models
- Implements streaming text generation with real-time progressive display
- Introduces three new commands for AI personality management and execution
Reviewed Changes
Copilot reviewed 18 out of 18 changed files in this pull request and generated 4 comments.
Show a summary per file
| File | Description |
|---|---|
| src/settings.ts | Plugin settings interface with network toggle and API key management |
| src/main.ts | Main plugin integration with settings loading and AI command registration |
| src/commands/index.ts | Updated command registration to include AI commands |
| src/commands/ai.ts | AI command implementations with personality selection modal |
| src/ai/types.ts | Type definitions for AI providers and configuration schemas |
| src/ai/run.ts | Main AI execution logic with streaming support and error handling |
| src/ai/providers/openai.ts | OpenAI GPT provider implementation with streaming support |
| src/ai/providers/gemini.ts | Gemini provider with sensitivity settings and safety controls |
| src/ai/prompt.ts | Prompt extraction and message building utilities |
| src/ai/config.ts | Configuration parsing and validation for AI personality frontmatter |
| examples/*.md | Example AI personality notes demonstrating different provider configurations |
| TESTING.md | Comprehensive testing guide with 22 test cases |
| README.md | Updated documentation with AI Personality usage instructions |
| IMPLEMENTATION.md | Technical implementation summary and architecture overview |
| AGENTS.md | AI Personality system specification and developer guidelines |
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| let accumulatedText = ''; | ||
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| for await (const chunk of result as AsyncIterable<string>) { | ||
| accumulatedText += chunk; | ||
| // Replace the content at insert position | ||
| editor.replaceRange(accumulatedText, insertPos); |
There was a problem hiding this comment.
The streaming implementation repeatedly replaces the entire accumulated text on each chunk, which could cause performance issues with long responses. Consider using editor.replaceRange with proper start/end positions to append only the new chunk.
| let accumulatedText = ''; | |
| for await (const chunk of result as AsyncIterable<string>) { | |
| accumulatedText += chunk; | |
| // Replace the content at insert position | |
| editor.replaceRange(accumulatedText, insertPos); | |
| let currentEndPos = { ...insertPos }; // Track end of inserted text | |
| for await (const chunk of result as AsyncIterable<string>) { | |
| // Insert only the new chunk at the current end position | |
| editor.replaceRange(chunk, currentEndPos); | |
| // Update currentEndPos to be after the newly inserted chunk | |
| currentEndPos = editor.offsetToPos(editor.posToOffset(currentEndPos) + chunk.length); |
| // eslint-disable-next-line @typescript-eslint/no-explicit-any | ||
| const requestBody: any = { |
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Using any type bypasses TypeScript's type checking. Consider defining a proper interface for the Gemini request body structure to maintain type safety.
| // eslint-disable-next-line @typescript-eslint/no-explicit-any | |
| const requestBody: any = { | |
| interface GeminiRequestBody { | |
| contents: Array<{ | |
| role: 'user' | 'model'; | |
| parts: Array<{ text: string }>; | |
| }>; | |
| generationConfig: { | |
| temperature?: number; | |
| maxOutputTokens?: number; | |
| }; | |
| systemInstruction?: { | |
| parts: Array<{ text: string }>; | |
| }; | |
| safetySettings?: Array<{ | |
| category: string; | |
| threshold: string; | |
| }>; | |
| } | |
| const requestBody: GeminiRequestBody = { |
| }; | ||
| } | ||
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| async *send( |
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The method signature returns AsyncIterable<string> but the interface allows both Promise<string> and AsyncIterable<string>. The implementation should check the stream parameter and return the appropriate type, not always use async generator.
| }; | ||
| } | ||
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| async *send( |
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Same issue as OpenAI provider - the method always returns an async generator regardless of the stream parameter. Should conditionally return Promise for non-streaming requests.
Summary
Implements a comprehensive AI Personality system that supports both OpenAI and Google Gemini providers, enabling users to create reusable AI assistants with customizable behavior. Gemini provider includes content filtering sensitivity settings for safe content generation.
Features
Multi-Provider Support
Gemini Sensitivity Configuration
Gemini provider includes granular content filtering controls with four categories:
none,low,medium,highStreaming Output
Real-time text generation for both providers with progressive display. Users see responses as they're generated rather than waiting for completion.
AI Personality Notes
Create reusable AI assistants using frontmatter-based configuration:
Three New Commands
Run AI with Personality… (
run-ai-personality)note-type: ai-personalityfrontmatterRe-run last Personality (
rerun-last-ai-personality)Use personality referenced by current note (
use-referenced-personality)personality: path/to/note.mdin current note's frontmatterSettings UI
New settings tab with security-first defaults:
Implementation Details
Architecture
Provider Interface
All providers implement a consistent
AIProviderinterface supporting both streaming and non-streaming responses:Security & Privacy
Documentation
Examples Included
Build Status
Testing
Manual testing guide provided in
TESTING.mdcovering:Requires API keys from OpenAI and Google AI Studio for full testing.
Non-Goals (Future Work)
Closes #[issue-number]
Original prompt
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