Auto-translate natural language prompts to DSL via vtk-mcp - #40
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once we fix the merge issues i can review and put this one to bed. |
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When a vtk-mcp server is available, the client now calls is_dsl_prompt() before code generation; if the input is plain natural language it calls translate_prompt_to_dsl() to convert it to the structured VTK pipeline DSL before RAG retrieval and generation. VTKMCPClient.translate_prompt() accepts optional model, base_url, and api_key overrides so callers can direct the translation to a specific model or Ollama endpoint without changing server config.
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jlee-kitware
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Summary
--dsl-translation/--no-dsl-translationto opt out, CLI + UI)--debugflag dumps the full LLM conversation to stdoutclaude-opus-5/claude-sonnet-5; mark them temperature-unsupported (API rejects the parameter)vtkRenderWindow/vtkRenderWindowInteractor/vtkRendereracrossvtk,vtkmodules.vtkRenderingCore, andvtkmodules.allso self-constructed instances stay bound to the app's shared scene instead of opening a native window or rendering into a disconnected renderer; inject the shared interactor alongsiderenderer/render_windowWhy
DSL input hits the vtk-mcp index more precisely than natural language and cuts hallucinated class/method names. The render-window fix closes a real bug: LLM code trained on
vtkmodules-style examples was escaping the embedded view (native popup) or silently drawing into a renderer the app never displays.Dependencies
translate_prompt_to_dslandis_dsl_prompttoolsdslsubpackage with translatorTest plan
--debugdump, vtk-mcp connectivity indicator