main - consolidate all feature branches into unified submission#68
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DYung26 wants to merge 79 commits into
Open
main - consolidate all feature branches into unified submission#68DYung26 wants to merge 79 commits into
DYung26 wants to merge 79 commits into
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…LLM` querying with strategy-based execution, parallel model handling, multimodal message building, and weighted model scoring
…coding functions for `matplotlib` integration
…, performance, and fallback options
…on with key validation and model listing
…` models with endpoint, key validation, and model listing
… list_models, and validate_key methods
…orting text and multimodal queries with validation
… validation and supported models listing
…point with query, list_models, and key validation
…Ollama` models with query and validation
…th query, list_models, and key validation
…PI` with query, list_models, and key validation
…providers, manage `API` keys, and handle queries
…odels with iteration-based escalation
…order until success, with optional success tracking
…ghest-performance models with fallback to lower tiers
…l models for balanced usage
… provider/model pairs with iteration-aware selection
…ace` and `ProviderManager` with strategy-based model selection, remove `Groq`-specific hardcoding, and unify image handling
…ine to comply with `PEP8` formatting
…add new `AI/LLM` packages; update `setup.py` to read `README` safely and include additional dependencies
… license, and examples to `v0.1.3`
…arams (strategy, models, iterations, interactivity, timeout)
…d plot generation and validation system
…otlib plot mappings for common chart types
…te and grouped categorical plots
…ouped data handling
…riable visualization
… into structured visualization recommendations
…ting model querying, parsing, and ensemble scoring
… for external access
…gic to dedicated `recommender` module - Removed the inlined `VisualizationRecommender` class from `suggestions.py` and imported it from `visual_suggestion.recommender` - Simplified `suggestions.py` to serve as a lightweight interface for visualization recommendation - Updated `__init__.py` imports to correctly expose `VisualizationRecommender` from its new package - Enhanced `recommender()` function to support: - `StrategyName` parameter for configurable model selection strategy - `selected_models`, `interactive`, and `timeout` arguments for flexible runtime behavior - Improved module clarity and reduced redundancy by centralizing model, API, and ensemble logic under the recommender system
…eration with inline image streaming
… synthesis with streaming support
…tgen extensions, and message orchestration
…ining chat, audio, file, and realtime clients
…tool OpenAI function calling (plotgen, explainer, recommender)
…t` assistant with user instruction injection
…me session keys via `OpenAI API`
…ents for chat and audio responses
…nd `SmartPlotGenerator`, replacing deprecated `PlotGenerator`
… `PlotExplainer` and explainer `API` coverage
…icPlotGenerator`, `SmartPlotGenerator`, and `plotgen` integration tests
…`VisualizationRecommender` initialization, parsing, and `LLM` integration
…est_suggestions` into `test/unit` for clearer test structure organization
…ner` run with `Groq` and `OpenAI` models
…nd custom plot generation examples
…g with multiple `LLM` providers
feat/multi provider support
feat/expand-plot-types
…ture refactor/recommender-modular-structure
feat/plotchat-sdk
test/live-tests
…recommender` modules with consistent `API` handling and helper usage - Added default argument values to `VisualizationRecommender` and `PlotExplainer` constructors for strategy, models, timeout, and interactivity - Introduced `self.api_keys` and standardized `ProviderManager` initialization across both components - Updated `test_explanations` to use shared helper functions `encode_image` and `save_plot_to_image` from `core.utils` - Revised `test_plotgen` to align with new `_default_plots` naming and initialization logic - Refactored `test_suggestions` to leverage new `ResponseParser`, updated recommendation pipeline, and aligned prompt/query flow - Commented deprecated internal tests tied to removed private methods (`_get_all_recommendations`, `_parse_recommendations`, etc.) - Ensured test assertions verify model availability and provider correctness under new recommender structure
refactor(core): unify initialization and testing of `explainer` and `…
… add `plot_chat` to `egg-info`; update live tests for display handling and model selection
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🧾 Summary
This pull request consolidates all recent feature developments from the individual branches into the main branch.
It represents a unified update that brings together all implemented enhancements, fixes, and refactors previously developed across multiple feature branches.
🔄 Details
mainbranch.✅ Purpose
To streamline review and integration by submitting a comprehensive, up-to-date version of all feature work in one pull request.