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Build AI agents with AWS Bedrock AgentCore.
Passed 22 of 22 test cases with the skill, and 7 of 22 without it.
and 20 more in the full report
15 fixed7 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 15 test cases the skill fixed. Same model, same prompt, with and without the skill.
Which official sample application combines AWS Amplify, Cloud Development Kit, and AgentCore for sales assistance?
| Checked | Without skill | With skill |
|---|---|---|
| Names the Video Games Sales Assistant sample | Missed | Passed |
The instructions your model reads when the skill loads.
Build production-grade AI agents on AWS infrastructure.
import boto3
from agentcore import Agent, Tool
# Initialize AgentCore client
client = boto3.client('bedrock-agent-runtime')
# Define a tool
@Tool(name="search_database", description="Search the product database")
def search_database(query: str, limit: int = 10) -> dict:
# Tool implementation
return {"results": [...]}
# Create agent
agent = Agent(
model_id="anthropic.claude-3-sonnet",
tools=[search_database],
instructions="You are a helpful product search assistant."
)
# Invoke agent
response = agent.invoke("Find laptops under $1000")
AgentCore provides these primitives:
| Component | Purpose |
|---|---|
| Runtime | Serverless agent execution (framework-agnostic) |
| Gateway | Convert APIs/Lambda to MCP-compatible tools |
| Memory | Multi-strategy memory (semantic, user preference) |
| Identity | Auth with Cognito, Okta, Google, EntraID |
test cases passed, vs 7 / 22 without
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