Add translate_prompt_to_dsl and is_dsl_prompt MCP tools#12
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Exposes vtk-validate's DSL translation layer as two new MCP tools: - translate_prompt_to_dsl(query, model, base_url, api_key): converts natural language to the VTK pipeline DSL via litellm; model and endpoint are overridable per-call or via VTK_MCP_TRANSLATE_* env vars - is_dsl_prompt(text): returns True if the input is already in DSL format Adds translate_model, translate_base_url, translate_api_key to Settings to configure Ollama and other OpenAI-compatible endpoints server-wide. Includes 8 unit tests.
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Summary
vtk-validate's DSL translation layer:translate_prompt_to_dsl(query, model?, base_url?, api_key?)— converts natural language to the VTK pipeline DSLis_dsl_prompt(text)— detects whether input is already in DSL formattranslate_model,translate_base_url,translate_api_keytoSettings(env prefixVTK_MCP_TRANSLATE_*) for server-wide Ollama/custom endpoint configContext
The VTK pipeline DSL (structured
create / <filter> / define / add / renderformat with snake_case parameter names) produces significantly better code generation than natural language. This pair of tools enables vtk-prompt (and other MCP clients) to translate free-form input into that format before code generation.Depends on
vtk-validate[translate]being installed.Test plan
pytest tests/test_dsl_tools.py— 8 tests passpytest tests/ -m unit— all 49 unit tests passmistral:latestvia Ollama