Add mk_mcp_from_refs(['module:function', ...]) + public import_object#2
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One call from configuration strings to a runnable MCP server — what tools that read tool references from a file (e.g. coact's mcp realize backend) need, so they don't reimplement the importlib dance. - util.import_object(ref): resolve 'module:attr' (preferred) or 'module.path.attr' - main.mk_mcp_from_refs(refs, ...): resolve each ref and delegate to mk_mcp_server Additive; existing API unchanged. Tests + doctests green. Closes #1
thorwhalen
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- llm.py: provider-agnostic facade. resolve_llm() accepts a callable, an aw StepConfig (reuses its resolve_llm), a model name, or None->ambient skill.ai.chat; returns None (never raises) when nothing is available. structured(prompt, schema) does instruct-JSON + parse + one retry. - synthesis.py: synthesize_persona gains an optional llm that DRAFTS the identity paragraph; invariants + the return contract stay deterministic so the machine-facing contract is never at the mercy of generation. Drafting fires ONLY when an llm is explicitly injected — the mechanical path stays offline even when an ambient API key is present (DECISIONS D10). - complete(): optional llm= threaded through (non-breaking); LLM failure falls back to template. - realize.py: 'mcp' backend reads the source skill's coact: mcp block and delegates to py2mcp.mk_mcp_from_refs (coact writes no MCP plumbing). Companion py2mcp PR i2mint/py2mcp#2 added mk_mcp_from_refs + import_object. 55 tests + 28 doctests + ruff green; mechanical path verified offline. Refs #9 #10 #13
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One call from configuration strings to a runnable MCP server — what tools that read tool references from a file (e.g. coact's
mcprealize backend) need, so they don't reimplement theimportlibdance.util.import_object(ref)— resolve'module:attr'(preferred) or'module.path.attr'.main.mk_mcp_from_refs(refs, *, name=..., input_trans=...)— resolve each ref viaimport_objectand delegate tomk_mcp_server.Additive; existing API unchanged. New unit tests + doctests green (20 passed).
Closes #1.