- Introduced executeSqlDocsAgent tool for executing SQL queries specific to documentation tasks.
- Updated DocsAgentContext to include dataSourceId and improved context management.
- Refactored context initialization and workflow steps to utilize new context structure.
- Enhanced createDocsTodosStep to generate comprehensive TODO lists based on user input.
- Improved error handling and logging throughout the documentation agent workflow.
- Updated tests to reflect changes in context keys and ensure proper functionality.
- 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>
- Added new steps for the documentation agent, including context initialization, todo creation, and main processing logic.
- Introduced schemas for input and output validation using Zod.
- Created a new workflow that orchestrates the steps for generating documentation based on user input.
- Enhanced the existing file structure to support the new documentation agent functionality.
- Updated the export name in index.ts and adjusted imports in the corresponding test file.
- Modified the tool definition in bash-execute-tool.ts to reflect the new naming convention.
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