Auto-translate natural language prompts to DSL via vtk-mcp#40
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vicentebolea wants to merge 1 commit into
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Auto-translate natural language prompts to DSL via vtk-mcp#40vicentebolea wants to merge 1 commit into
vicentebolea wants to merge 1 commit into
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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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Summary
VTKMCPClientgainstranslate_prompt(query, model?, base_url?, api_key?)method that calls the newtranslate_prompt_to_dslvtk-mcp toolclient.pynow callsis_dsl_prompt()before code generation; natural language input is translated to the VTK pipeline DSL before RAG retrieval and code generation beginWhy
The VTK pipeline DSL (structured
create / <filter> / define / add / renderspecification with snake_case setter names as parameters) hits the vtk-index BM25 index far more precisely than natural language, reduces the LLM's tool-calling rounds during generation, and leaves almost no hallucination space for class or method names. This change makes the quality improvement automatic for all vtk-prompt users with a vtk-mcp server.Dependencies
translate_prompt_to_dslandis_dsl_prompttoolsdslsubpackage with translatorTest plan