agents-build

Files (14)

• SKILL.md
• browser.md · references/
• code-interpreter.md · references/
• integrate.md · references/
• local-vs-deployed.md · references/
• memory.md · references/
• migrate.md · references/
• multi-agent.md · references/
• payments.md · references/
• request-headers.md · references/
• teardown.md · references/
• vpc.md · references/
• process_payment_tool.py · scripts/
• setup_payment_user.py · scripts/

SKILL.md (first lines)

# build

Add capabilities to your AgentCore agent project.

## When to use

- Adding cross-session memory to your agent
- Calling your deployed agent from a web app, mobile app, or backend service
- Configuring VPC networking for private resources (RDS, internal APIs)
- Building multi-agent systems with orchestrator/specialist patterns
- Migrating an existing Bedrock Agent to AgentCore
- Adding the Browser tool so the agent can navigate websites
- Adding the Code Interpreter so the agent can execute code in a sandbox
- Adding AgentCore Payments so the agent can pay for x402- or MPP-protected APIs, tools, or content
- Removing resources from your project or tearing down a deployment

Do NOT use for:

- Connecting to external tools/APIs via Gateway (OpenAPI specs, Lambda, MCP servers, credentials, policies) → use `agents-connect`
- Scaffolding a new project → use `agents-get-started`
- Deploying → use `agents-deploy`

## Input

`$ARGUMENTS` can be:

- A capability: "memory", "integrate", "vpc", "multi-agent", "migrate", "browser", "code-interpreter", "payments", "teardown"
- A description of what they want: "remember user preferences", "call from React app", "scrape a website", "run pandas in the agent", "delete my agent", "clean up resources"
- Empty — the skill will determine the workflow from context

## Process

### Step 0: Verify CLI version

Run `agentcore --version`. This skill requires v0.9.0 or later.

If older: "Run `agentcore update` to get the latest version."

### Step 1: Read project context

Read `agentcore/agentcore.json` to understand the current project — framework, existing resources, agent configuration.

If `agentcore/agentcore.json` is not found:

1. **Check if the developer is in the wrong directory.** Look for `agentcore/agentcore.json` in parent directories (up to 3 levels). If found, tell them: "Found an AgentCore project at `<path>`. Are you working in that project?"
2. **If no project exists anywhere nearby**, ask what capability they wanted to add. Then offer two paths:
   - "I can walk you through creating a project first and then adding CAPABILITY — want to do that?" (run the get-started flow inline, then continue with the build workflow)
   - "If you already have a project elsewhere, `cd` into it and try again."

Do not just say "go use agents-get-started" and stop — that loses the developer's context about what they actually wanted to do.

### Step 2: Determine the workflow

**Important disambiguation** — before routing to a build reference, check if the prompt is actually a connect or debug concern:

- If the phrase mentions external APIs, Lambda functions, OpenAPI specs, gateways, credentials, MCP servers, or policies → this is `agents-connect`, not build
- If the developer says something is broken (wrong answers, errors, tool failures) → this is `agents-debug`, not build
- Build is for **adding new capabilities** to a working project, not fixing broken ones

Based on the developer's prompt and `$ARGUMENTS`, load the appropriate reference:

| Developer intent | Reference to load |
|---|---|
| Add memory, remember things, user preferences, cross-session | [`references/memory.md`](references/memory.md) |
| Call agent from app, invoke from code, streaming, SDK client, agent URL, execute shell in session | [`references/integrate.md`](references/integrate.md) |
| VPC, private network, RDS, internal API, subnet, security group | [`references/vpc.md`](references/vpc.md) |
| Multi-agent, orchestrator, specialist, A2A, delegation, agent handoff | [`references/multi-agent.md`](references/multi-agent.md) |
| Custom headers from caller to agent, header allowlist, tenant ID/correlation ID/trace propagation | [`references/request-headers.md`](references/request-headers.md) |
| Migrate Bedrock Agent, import agent, move to AgentCore | [`references/migrate.md`](references/migrate.md) |
| Browser tool, web navigation, form filling, scraping, Nova Act, Playwright, live view | [`references/browser.md`](references/browser.md) |
| Code Interpreter, execute code, sandbox, run Python/JS/TS, data analysis in agent, pandas | [`references/code-interpreter.md`](references/code-interpreter.md) |
| Payments, pay for x402 or MPP content, 402 Payment Required, Machine Payments Protocol, WWW-Authenticate: Payment, microtransactions, paid API/tool, payment manager/connector | [`references/payments.md`](references/payments.md) |
| Delete agent, remove resource, tear down, clean up, destroy, start fresh | [`references/teardown.md`](references/teardown.md) |
| Change model, switch model, use Haiku/Sonnet/Nova, different model | Inline — see "Changing the model" below |

If the developer asks about the difference between local dev and deployed (e.g., "why does my memory work after deploy but not locally?"), load [`references/local-vs-deployed.md`](references/local-vs-deployed.md) alongside the specific workflow reference.

Read the matching file into context and follow its Process section step by step — do not summarize.

If the intent is ambiguous, ask the developer which capability they want to add.

### Changing the model

The model is configured in `app/<AgentName>/model/load.py` (scaffolded by `agentcore create`). To change it:

1. Open `app/<AgentName>/model/load.py`
2. Change the `model_id` parameter in the `BedrockModel()` constructor

```python
# Default (scaffolded by CLI)
return BedrockModel(model_id="global.anthropic.claude-sonnet-4-5-20250929-v1:0")

# Switch to Haiku for cost savings
return BedrockModel(model_id="us.anthropic.claude-3-5-haiku-20241022-v1:0")

# Switch to Nova Lite
return BedrockModel(model_id="amazon.nova-lite-v1:0")
```

Cross-region inference profile prefixes (`us.`, `eu.`, `apac.`, `global.`) control where inference runs. Use `global.` for maximum throughput, or a geographic prefix for data residency. Not all models support all prefixes — check the Bedrock inference profiles docs.

After changing the model:

- Verify the model is enabled in your region: AWS Console → Amazon Bedrock → Model access
- For cross-region profiles, enable in all destination regions
- If using `agents-harden`, update the IAM policy to scope to the new model ARN
- Run `agentcore dev` to test locally, then `agentcore deploy` to update the deployed agent

No `agentcore.json` change is needed — the model is configured in code, not in the project config.

### Pre-flight: validate any `--name` before generating the CLI command

Whichever reference you load, most end up producing an `agentcore add <resource> --name <something>` command. The CLI fails **late** on invalid names — you'll see the error after walking through prompts, not before running the command. Validate up front:

| Resource | Max chars | Allowed | Starts with |
|---|---|---|---|
| Agent (`add agent`) | 48 | alphanumeric + `_` | letter |
| Memory, gateway, gateway-target, credential, evaluator, online-eval, policy, policy-engine, payment-manager, payment-connector | 48 | alphanumeric + `_` | letter |

From aws/agent-toolkit-for-aws, Apache-2.0.

More from aws/agent-toolkit-for-aws