SannidhyaSah a80795b78d feat: Add OpenAI Compatible embedder for codebase indexing (#4066) ... * feat: Add OpenAI Compatible embedder for codebase indexing - Implement OpenAiCompatibleEmbedder with batching and retry logic - Add configuration support for base URL and API key - Update UI with provider selection and input fields - Add comprehensive test coverage - Support for all OpenAI-compatible endpoints (LiteLLM, LMStudio, Ollama, etc.) - Add internationalization for 17 languages * fix: Update CodeIndexSettings tests for OpenAI Compatible provider - Fix field count expectations (4 fields including Qdrant) - Use specific test IDs for button selection - Fix input handling with clear() before type() - Use toHaveBeenLastCalledWith for better assertions - Fix status text matching with regex pattern * fix: resolve UI test failures and ESLint errors - Remove unused waitFor import to fix ESLint error - Fix test expectations to match actual component behavior for input fields - Simplify provider selection test by removing complex mock interactions - All CodeIndexSettings tests now pass (20/20) * feat: add custom model infrastructure for OpenAI-compatible embedder - Add manual model ID and embedding dimension configuration - Enable custom model input via text field in settings UI - Add modelDimension parameter to OpenAiCompatibleEmbedder - Update configuration management to persist dimension setting - Prioritize manual dimension over hardcoded model profiles - Add comprehensive test coverage for new functionality This allows users to specify any custom embedding model and its dimension for OpenAI-compatible providers, removing dependency on hardcoded model profiles. * Add missing translations for OpenAI-compatible model dimension settings in all locales * refactor: remove unused modelDimension parameter from OpenAiCompatibleEmbedder - Remove modelDimension property and constructor parameter from OpenAiCompatibleEmbedder class - Update ServiceFactory to not pass dimension to embedder constructor - Update tests to match new constructor signature - The dimension is still used for QdrantVectorStore configuration * chore: bot suggestion Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com> * chore: bot suggestion Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com> * refactor: rename OpenAiCompatibleEmbedder to OpenAICompatibleEmbedder for consistency * feat: add model dimension validation for OpenAI-compatible settings * refactor: improve default model ID retrieval logic for embedding providers * feat: add default model ID retrieval for openai-compatible provider * refactor: update default model ID retrieval to use shared utility function * fix: Remove unnecessary type assertion in OpenAICompatibleEmbedder * feat: add model dimension input for openai-compatible provider --------- Co-authored-by: Daniel Riccio <ricciodaniel98@gmail.com> Co-authored-by: Daniel <57051444+daniel-lxs@users.noreply.github.com> Co-authored-by: ellipsis-dev[bot] <65095814+ellipsis-dev[bot]@users.noreply.github.com>		2025-06-04 17:00:52 -04:00
..
build	Fix Roo Code Nightly package.json generation (#4098)	2025-05-28 22:23:12 -07:00
cloud	Cloud: add auth logs to the output channel (#4270)	2025-06-02 16:56:27 -07:00
config-eslint	Upgrade to ESLint 9 + share eslint config across workspaces (#3815)	2025-05-21 21:30:21 -07:00
config-typescript	Roo Code Cloud (#4069)	2025-05-28 20:43:30 -07:00
evals	Move evals into pnpm workspace, switch from SQLite to Postgres (#4278)	2025-06-03 01:38:08 -07:00
ipc	Move evals into pnpm workspace, switch from SQLite to Postgres (#4278)	2025-06-03 01:38:08 -07:00
telemetry	Appease changests (#4126)	2025-05-29 15:27:01 -07:00
types	feat: Add OpenAI Compatible embedder for codebase indexing (#4066)	2025-06-04 17:00:52 -04:00