50 lines
2.7 KiB
Plaintext
50 lines
2.7 KiB
Plaintext
# Task ID: 37
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# Title: Add Gemini Support for Main AI Services as Claude Alternative
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# Status: done
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# Dependencies: None
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# Priority: medium
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# Description: Implement Google's Gemini API integration as an alternative to Claude for all main AI services, allowing users to switch between different LLM providers.
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# Details:
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This task involves integrating Google's Gemini API across all main AI services that currently use Claude:
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1. Create a new GeminiService class that implements the same interface as the existing ClaudeService
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2. Implement authentication and API key management for Gemini API
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3. Map our internal prompt formats to Gemini's expected input format
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4. Handle Gemini-specific parameters (temperature, top_p, etc.) and response parsing
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5. Update the AI service factory/provider to support selecting Gemini as an alternative
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6. Add configuration options in settings to allow users to select Gemini as their preferred provider
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7. Implement proper error handling for Gemini-specific API errors
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8. Ensure streaming responses are properly supported if Gemini offers this capability
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9. Update documentation to reflect the new Gemini option
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10. Consider implementing model selection if Gemini offers multiple models (e.g., Gemini Pro, Gemini Ultra)
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11. Ensure all existing AI capabilities (summarization, code generation, etc.) maintain feature parity when using Gemini
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The implementation should follow the same pattern as the recent Ollama integration (Task #36) to maintain consistency in how alternative AI providers are supported.
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# Test Strategy:
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Testing should verify Gemini integration works correctly across all AI services:
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1. Unit tests:
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- Test GeminiService class methods with mocked API responses
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- Verify proper error handling for common API errors
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- Test configuration and model selection functionality
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2. Integration tests:
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- Verify authentication and API connection with valid credentials
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- Test each AI service with Gemini to ensure proper functionality
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- Compare outputs between Claude and Gemini for the same inputs to verify quality
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3. End-to-end tests:
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- Test the complete user flow of switching to Gemini and using various AI features
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- Verify streaming responses work correctly if supported
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4. Performance tests:
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- Measure and compare response times between Claude and Gemini
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- Test with various input lengths to verify handling of context limits
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5. Manual testing:
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- Verify the quality of Gemini responses across different use cases
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- Test edge cases like very long inputs or specialized domain knowledge
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All tests should pass with Gemini selected as the provider, and the user experience should be consistent regardless of which provider is selected.
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