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Magnus Hedemark
95046675bc
Greenfield SkillOpt: 3 epochs for a Stanford DSPy compiler skill. DSPy is a fundamentally different paradigm from chain/RAG frameworks. Epoch 1 — Prominence: - Hard-gate blockquote: 'DSPy is NOT a chain framework' - Core Paradigm section with runnable code example early Epoch 2 — Decision Guidance: - Framework Routing Guide (DSPy vs LlamaIndex vs LangChain vs LangGraph) - Where to Start table mapping entry points - Troubleshooting table with reference links Epoch 3 — Pattern Expansion: - Optimizer selection cheat sheet from official docs - Caching, compilation cost management, save/load - FAQ covering paradigm confusion, errors, deployment 12 files: SKILL.md, 7 references, 3 templates, 1 script. v1.0.0 -> v1.0.3 across 3 epochs. All API surfaces validated against dspy.ai official docs — optimizer selection guide, caching, core modules, FAQ. Signed-off-by: Jasper <jasper@montcastle.bitches>
28 lines
687 B
Python
28 lines
687 B
Python
#!/usr/bin/env python3
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"""Verify DSPy installation and basic functionality."""
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import sys
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REQUIRED_PACKAGES = ["dspy"]
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for pkg in REQUIRED_PACKAGES:
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try:
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__import__(pkg)
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print(f" [OK] {pkg}")
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except ImportError:
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print(f" [FAIL] {pkg} — install with pip install {pkg}")
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sys.exit(1)
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# Test basic DSPy functionality
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import dspy
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lm = dspy.LM("openai/gpt-4o-mini")
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dspy.configure(lm=lm)
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qa = dspy.Predict("question -> answer")
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result = qa(question="What is DSPy?")
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assert hasattr(result, "answer"), "Answer field missing"
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print(f" [OK] Basic prediction works: {result.answer[:50]}...")
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print("\nDSPy setup check: ALL REQUIRED PACKAGES OK")
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