matthew-harper

#!/usr/bin/env bash
python strands_context_engineering_demo.py --help

matthew-harper

#!/usr/bin/env bash
python strands_context_engineering_demo.py comprehensive

matthew-harper

from dataclasses import dataclass
from typing import List

try:
    from strands import Agent
    from strands.tools import calculator, mem0_memory, tavily_search, tavily_extract, use_llm
    from strands.managers import SlidingWindowConversationManager
except Exception:
    class Agent:
        def __init__(self, **kwargs): pass

matthew-harper

#!/usr/bin/env bash
python strands_context_engineering_demo.py research "Context engineering best practices"

matthew-harper

from typing import List, Optional
from pydantic import BaseModel, Field

class Answer(BaseModel):
    summary: str = Field(description="Brief summary of findings")
    bullets: List[str] = Field(description="Key points as bullet list")
    citations: List[str] = Field(description="Source URLs")
    uncertainty: Optional[str] = Field(default=None, description="Any uncertainty notes")

def run_research_demo(query: str) -> Answer:

matthew-harper

#!/usr/bin/env bash
python strands_context_engineering_demo.py route "Factor x^2 + 7x + 12"
python strands_context_engineering_demo.py route "Why does my Python code raise a TypeError?"

matthew-harper

from pydantic import BaseModel, Field

class RouteDecision(BaseModel):
    target: str = Field(description="Target specialist (math, code, generalist)")
    reason: str = Field(description="Why this target was chosen")
    confidence: float = Field(description="Confidence score (0.0-1.0)")

def route_query(q: str) -> RouteDecision:
    ql = q.lower()
    if any(k in ql for k in ["factor", "integrate", "derivative", "+", "*", "^", "solve", "math"]):

matthew-harper

#!/usr/bin/env bash
python strands_context_engineering_demo.py guard "My SSN is 123-45-6789" --shadow
python strands_context_engineering_demo.py guard "My SSN is 123-45-6789"

matthew-harper

import re

def run_guardrails_demo(prompt: str, shadow: bool = True) -> None:
    """Pattern 4: Guardrails as Context Hygiene"""
    print(f"\nInput: {prompt!r}")
    print(f"Mode: {'Shadow (logging only)' if shadow else 'Enforcement'}")
    if shadow:
        print("Shadow mode: logging only (no enforcement).")
        print(f"Response: {prompt}")
        print("(Would log to monitoring system: PII pattern detected)")

matthew-harper

#!/usr/bin/env bash
python strands_context_engineering_demo.py research "Context engineering best practices"