Capstone: Multi-pattern pipeline

Time to bring it all together! In this capstone, you'll see how multiple patterns combine into a production pipeline. The same query flows through guardrails, routing, planning, RAG retrieval, ReAct reasoning, reflection, and evaluation, with each pattern playing its role.

Full Multi-pattern pipeline

No. The capstone shows how patterns compose, but real projects pick the 3-5 patterns they need. Start with guardrails and routing, add RAG or ReAct if needed, and layer in evaluation for quality. Only add complexity that solves a real problem.

capstone_pipeline.py
python
class MultiPatternPipeline:
    def __init__(self):
        self.guardrails = SafetyGuardrails()     # Pattern 18
        self.router = Router()                    # Pattern 2
        self.planner = Planner()                  # Pattern 6
        self.rag = RAGSystem()                    # Pattern 14
        self.relevancy = RelevancyChecker()       # Pattern 30
        self.react = ReActAgent(tools)            # Pattern 34
        self.reflector = Reflector()              # Pattern 4
        self.evaluator = ResponseEvaluator()      # Pattern 19a
        self.memory = MemorySystem()              # Pattern 37

    def process(self, query):
        # 1. Safety check
        safe, _, _ = self.guardrails.validate_input(query)
        if not safe:
            return {"error": "Blocked by guardrails"}

        # 2. Route based on complexity
        route = self.router.classify(query)
        if route == "simple":
            return self._simple_response(query)

        # 3. Plan the approach
        plan = self.planner.create_plan(query)

        # 4. Retrieve and filter documents
        docs = self.rag.retrieve(query)
        relevant = self.relevancy.filter(query, docs)

        # 5. ReAct reasoning with context
        answer = self.react.solve(query, context=relevant)

        # 6. Self-review
        improved = self.reflector.improve(answer)

        # 7. Quality gate
        score = self.evaluator.evaluate(query, improved)

        # 8. Store in memory
        self.memory.store_episodic(query, improved)

        return {"answer": improved, "quality": score}

A complete pipeline orchestrating multiple patterns together.

Matching exercise: Match pipeline stages to patterns

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Ordering exercise: Order the pipeline stages

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Timed quiz: Speed round: pattern recognition

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Checkpoint: Final assessment

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