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@ertan2002 ertan2002 commented Sep 30, 2025

🚀 feat(io-intelligence): Make API key optional and implement dynamic model fetching

Summary

This PR enhances the IO Intelligence provider by making the API key optional for model retrieval and improving the overall model handling implementation.

Key Changes 🔓 No Authentication Required for Model Discovery

  • Breaking Change : The IO Intelligence models endpoint ( /api/v1/models ) no longer requires authentication
  • API key is now completely optional when fetching the model list
  • This allows users to discover available models without needing to provide credentials upfront 🚀 Enhanced Model Fetching
  • Implemented dynamic model fetching from https://api.intelligence.io.solutions/api/v1/models
  • Added robust caching mechanism with configurable duration
  • Improved error handling and response validation using Zod schemas 🎯 Improved Model Parsing
  • Enhanced parseIOIntelligenceModel function with better token allocation logic
  • Token Calculation : When max_tokens is not provided or is zero, defaults to 20% of the context window (aligning with getModelMaxOutputTokens() )
  • Added support for additional model properties like image input support and prompt caching 🛡️ Better Error Handling
  • Added comprehensive schema validation for API responses
  • Improved error messages and logging for debugging
  • Added timeout handling for API requests (10 second timeout)

Technical Details

  • Files Modified : 4 files with 68 insertions and 45 deletions
    • src/api/providers/fetchers/io-intelligence.ts // New: API fetcher with caching
    • src/api/providers/io-intelligence.ts // Updated: Dynamic model fetching
    • src/core/webview/webviewMessageHandler.ts // Updated: Always fetch models
    • src/shared/api.ts // Updated: GetModelsOptions type
  • Caching : Implements intelligent caching to reduce API calls and improve performance
  • Schema Validation : Uses Zod for runtime type safety and validation
  • Backward Compatibility : Maintains compatibility with existing code while adding new functionality

Benefits

  • Improved User Experience : Users can browse available models without API keys
  • Better Performance : Caching reduces redundant API calls
  • Enhanced Reliability : Better error handling and validation
  • Future-Proof : Optional API key support allows for future authentication requirements

Important

This PR makes the API key optional for IO Intelligence model fetching, implements dynamic model fetching with caching, and improves model handling and error management.

  • Behavior:
    • IO Intelligence models endpoint /api/v1/models no longer requires authentication.
    • API key is optional for fetching model list.
    • Dynamic model fetching implemented in io-intelligence.ts and fetchers/io-intelligence.ts.
    • Caching mechanism added with configurable duration.
    • Improved error handling and response validation using Zod schemas.
  • Model Handling:
    • Enhanced parseIOIntelligenceModel function for better token allocation.
    • Defaults max_tokens to 20% of context window if not provided.
    • Added support for image input and prompt caching properties.
  • Files Modified:
    • io-intelligence.ts: Updated for dynamic model fetching and error handling.
    • fetchers/io-intelligence.ts: New API fetcher with caching and schema validation.
    • webviewMessageHandler.ts: Updated to always fetch models.
    • api.ts: Updated GetModelsOptions type to make API key optional.
  • Misc:
    • Added timeout handling for API requests (10 seconds).

This description was created by Ellipsis for 589841c. You can customize this summary. It will automatically update as commits are pushed.

- Make IO Intelligence API key optional for models endpoint
- Add model fetching with fallback to defaults
- Enhance model info parsing with additional fields from API
- Remove hardcoded model properties in favor of API-provided data
@dosubot dosubot bot added size:L This PR changes 100-499 lines, ignoring generated files. enhancement New feature or request labels Sep 30, 2025
@hannesrudolph hannesrudolph added the Issue/PR - Triage New issue. Needs quick review to confirm validity and assign labels. label Sep 30, 2025
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I found some issues that need attention. See inline comments.

…to BaseProvider

- Remove inheritance from BaseOpenAiCompatibleProvider
- Implement direct OpenAI client integration with custom base URL
- Fix TypeScript errors: remove topP destructuring, correct stream type
- Update getModel() method to use proper type inference
- Maintain compatibility with existing IO Intelligence API format
- All tests passing after refactoring
…mentation

- Remove explicit apiKey expectation from configuration test
- Update test to expect original mockOptions instead of modified options
- Ensure compatibility with BaseProvider refactoring
- All 13 tests passing after update
- Add getModels mock to io-intelligence.spec.ts to provide model data
- Add safety check in IOIntelligenceHandler.getModel to handle undefined models
- Ensure tests pass by properly initializing model data structure
- Fixed ClineProvider.spec.ts to include io-intelligence mock in correct order
- Updated webviewMessageHandler.spec.ts to handle io-intelligence provider in all test cases
- All tests now pass with io-intelligence provider returning mockModels instead of empty object
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roomote bot commented Oct 23, 2025

See this task on Roo Code Cloud

Review Complete ✅

No new issues found in the latest changes. All previously flagged issues have been resolved:

  • Use max_model_len as fallback in fetcher when context_window is missing - RESOLVED (line 59 now uses model.context_window ?? model.max_model_len ?? 8192)
  • Ensure dynamic model IDs are handled safely - RESOLVED (comprehensive fallback logic in getModel() handles this correctly)

Latest changes reviewed:

  • ✅ Merge commit from main branch integrates cleanly with IO Intelligence changes
  • ✅ Cost calculation refactoring correctly handles both Anthropic and OpenAI protocols
  • ✅ Roo provider auth token refresh logic properly implemented
  • ✅ Message queueing improvements don't affect IO Intelligence functionality
  • ✅ All test updates and i18n changes are appropriate
Previous Reviews

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@daniel-lxs
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daniel-lxs commented Oct 24, 2025

The PR description states that the API key is "completely optional" and allows "users to discover available models without needing to provide credentials." However, the implementation still requires the API key in several places:

  1. Constructor (): Throws error when API key is missing
  2. Fetcher (): Throws error when API key is undefined
  3. Model Fetching (): Only fetches models when API key exists
  4. Type Definition (): Defines apiKey: string (required) instead of apiKey?: string (optional)

Users cannot currently discover models without credentials. To match the PR description, these implementations need to be updated to make the API key truly optional.

@daniel-lxs daniel-lxs moved this from Triage to PR [Changes Requested] in Roo Code Roadmap Oct 24, 2025
@hannesrudolph hannesrudolph added PR - Changes Requested and removed Issue/PR - Triage New issue. Needs quick review to confirm validity and assign labels. labels Oct 24, 2025
…nce-getmodels

# Conflicts:
#	src/core/webview/__tests__/ClineProvider.spec.ts
#	src/core/webview/__tests__/webviewMessageHandler.spec.ts
- Removed error throw when API key is missing in IOIntelligenceHandler constructor
@ertan2002
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Hi Daniel, Hi Hannes
@daniel-lxs @hannesrudolph

Thank you for the your review. I have addressed all the points you raised:

Changes made:

  • Constructor: Removed the error throw when API key is missing, now uses placeholder "not-provided"

  • Fetcher: Already handles optional API key correctly (only adds Authorization header when provided)

  • Model Fetching: - Already passes

  • Type Definition - Already defined as [z.string().optional()] in the schema

  • Updated tests: Changed test to verify handler creation without API key instead of expecting error

The implementation now matches the exact pattern used by OpenRouter and Glama. API key is validated at the UI level but the models endpoint can fetch without authentication.

Is there anything I missed or any other concerns? Thank you

Best regards
Ertan

…conflicts by accepting upstream test changes
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3 participants