evals-optimization-finetuning
evals-optimization-finetuning
Operate Kiln evals, synthetic data, repair, prompt optimization, statistics comparisons, dataset splits, and fine-tuning workflows.
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kiln
kiln
Control 3D printers with AI agents — 430 MCP tools, 114 CLI commands, text/sketch-to-3D generation, model marketplace search, multi-printer fleet support, safety enforcement, and outsourced manufacturing
kiln
kiln
Use and maintain Kiln's AI development monorepo: Python library, REST/MCP server, desktop studio server, Svelte web UI, RAG, evals, fine-tuning, providers, tools, and repo checks.
project-datamodel
project-datamodel
Load, validate, persist, inspect, export, and package Kiln .kiln project data models.
rag-documents-data
rag-documents-data
Manage Kiln document ingestion, extraction, chunking, embeddings, vector stores, rerankers, and RAG search.
repo-development
repo-development
Maintain the Kiln checkout safely: monorepo layout, code style, check selection, frontend design standards, local maintenance skills, release boundaries, and human/legal gates.
server-desktop-web-api
server-desktop-web-api
Run, inspect, and extend Kiln's REST server, MCP server, desktop studio server, Git sync, jobs, chat, OpenAPI schema bridge, and Svelte web UI.
task-execution-providers-tools
task-execution-providers-tools
Configure Kiln task execution through LiteLLM providers, structured outputs, prompts, built-in tools, skills, Kiln task tools, RAG tool references, and MCP tool sessions.
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Sources and import coverage