- Changed test query from 'OpenAI GPT' to 'Buster Data' with an increased limit of 10.
- Reorganized import statements in web-search-tool.ts for better readability.
- Enhanced formatting in permission-validator.test.ts for improved code clarity.
- Add webSearch method to FirecrawlService with WebSearchOptions, WebSearchResult, and WebSearchResponse interfaces
- Export new types from web-tools package
- Create web-search-tool in AI package with proper input/output schemas
- Add comprehensive unit tests for webSearch method (16 tests total)
- Add tool tests with mocking (4 tests)
- Add integration tests (skipped when no API key)
- Update package exports and dependencies
- Default search limit: 5, default format: markdown, content scraping enabled
- Proper error handling using CompanyResearchError
- AI package has no direct Firecrawl dependency
Co-Authored-By: Dallin Bentley <dallinbentley98@gmail.com>
The Snowflake adapter implementation transforms column names to lowercase
for consistency, but the tests were expecting uppercase column names.
This commit updates the tests to match the implementation:
- Update test expectations to use lowercase column names (id, name)
- Fix hasMoreRows assertions to match implementation logic (only true when rowCount > limit)
- Ensure all Snowflake-related tests pass with the current adapter behavior
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Increased allowed variance in cached query time checks to accommodate network fluctuations.
- Corrected property name in test assertions to match expected lowercase format.
- Enhanced SnowflakeAdapter to transform column names to lowercase and adjusted logic for determining if more rows are available from the stream.
- Implemented a custom fetch function in both anthropic.ts and vertex.ts to modify the request body.
- If tool_choice is present, added disable_parallel_tool_use to the request body.
- Included error handling for JSON parsing to ensure fallback to original request on failure.
- Added tests for handling AbortError scenarios in both memory-safe and standard streaming models.
- Updated the FallbackModel to gracefully handle intentional aborts without retrying or causing errors.
- Ensured that the controller closes properly on AbortError and that no fallback to subsequent models occurs.
- Enhanced mock models to simulate AbortError conditions for comprehensive testing.
Nate Kelley
dal
Devin AI