- Added constrained dependency files for single-env installations: `constraints.txt`, `data-designer.txt`, and `data-designer-deps.txt`.
- Implemented a `patch_metadata.py` script to resolve metadata conflicts between dependency versions.
- Updated `setup.sh` to integrate single-env setup, including dependency installation and metadata patching.
- Upgraded `fastmcp` and `websockets` versions in `extras.txt` for compatibility.
- Commented out unused "Start Tutorial" button in `data-recipes-page.tsx`.
- Added support for configuring markdown note block styles, including color and opacity.
- Enabled double-click on markdown notes to open their configuration dialog.
- Adjusted layout styles in markdown previews for better interaction control.
- Updated relevant payloads, types, and UI logic to support added styling features.
- Integrated multiple example notes in learning recipes for better visualization.
- Added "Markdown Note" block to allow users to add UI-only markdown notes to the canvas for documentation purposes.
- Integrated note creation, editing, and rendering in the `recipe-studio` UI, including markdown previews.
- Updated payload generation logic to omit markdown notes from backend payloads.
- Enhanced block types, definitions, and dialog support to include the new "Markdown Note" feature.
- Introduced "Multi-Turn Chat" recipe to generate structured user-assistant conversations with domain/topic-based goals and constraints.
- Added `conversation.json` with model configuration, sampling strategies, and LLM prompts.
- Updated UI nodes, layout, and graph rendering logic to support new recipe.
- Enhanced `recipe-studio` fit view logic to improve editor layout responsiveness.
- Added three new learning recipes: "Instruction from Answer," "PDF Grounded QA," and "Structured Outputs Jinja," with respective metadata and configuration.
- Integrated support for unstructured and structured input handling, including sampling strategies, prompt definitions, and model specifications.
- Enhanced JSON structure and UI nodes to facilitate better recipe visualization and execution.
- Introduced `layoutDirection` to control graph orientation ("LR" or "TB") and integrate into edges, nodes, and payloads.
- Enhanced handle management with new default, semantic, and data-specific mappings based on layout direction.
- Added handle normalization for consistent connections across layouts and semantic/data flows.
- Updated UI to reflect layout-aware positioning and semantic connections.
- Added handle normalization functions to standardize handle IDs across connections.
- Expanded UI for scorer options with real-time updates, input fields for values and descriptions, and support for adding/removing options.
- Updated graph node handles and their layout logic for better connection visualization.
- Stripped sensitive fields (e.g., `api_key`) from payloads during export.
- Introduced a new "Instruction from Answer" learning recipe with related metadata, payload integration, and UI updates.
- Enhanced badge display logic to include up to 3 badges with overflow indication for additional learning badges.
- Changed default eval_steps from 0.01 to 0.0 across backend and frontend
- Fixed UI to allow eval_steps=0 (removed min=0.001 constraint)
- Added conditional eval logic with helpful console messages
- Updated tooltip to explain how to disable evaluation
- Tested: confirmed eval disabled by default with eval_steps=0.0
