docs: update vended AGENTS.md, README.md, and llm-context references#898

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jesseturner21 merged 2 commits into from
Apr 21, 2026
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docs: update vended AGENTS.md, README.md, and llm-context references #898

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docs: update vended AGENTS.md, README.md, and llm-context references
notgitika Apr 21, 2026
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test: update asset snapshot tests to match new docs content
notgitika Apr 21, 2026
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43 changes: 33 additions & 10 deletions src/assets/AGENTS.md
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -2,27 +2,47 @@

This directory stores:

- Template assets for agents written in different Languages, SDKs and having different configurations
- Template assets for agents written in different languages, SDKs, and configurations
- Container templates (`container/python/`) with `Dockerfile` and `.dockerignore` for Container build agents
- Vended documentation (`README.md`, `agents/AGENTS.md`) copied into user projects at create time
- CDK project template (`cdk/`) using `@aws/agentcore-cdk` L3 constructs
- Evaluator templates (`evaluators/`) for code-based evaluators
- MCP tool templates (`mcp/`) for Lambda and AgentCoreRuntime compute

### Directory Layout

```
assets/
├── python/ # Framework templates (one per SDK)
│ ├── strands/
│ ├── langchain_langgraph/
│ ├── googleadk/
│ ├── openaiagents/
│ └── autogen/
├── README.md # Vended to project root as project README
├── AGENTS.md # This file — internal dev context
├── agents/
│ └── AGENTS.md # Vended to project root for AI coding assistants
├── python/ # Framework templates (one per SDK per protocol)
│ ├── http/ # HTTP protocol agents
│ │ ├── strands/
│ │ ├── langchain_langgraph/
│ │ ├── googleadk/
│ │ ├── openaiagents/
│ │ └── autogen/
│ ├── mcp/ # MCP protocol agents
│ │ └── standalone/
│ └── a2a/ # A2A protocol agents
│ ├── strands/
│ ├── langchain_langgraph/
│ └── googleadk/
├── typescript/ # TypeScript agent templates
├── container/ # Container build templates
│ └── python/
│ ├── Dockerfile
│ └── dockerignore.template
└── agents/ # AGENTS.md vended to user projects
├── cdk/ # CDK project template (@aws/agentcore-cdk)
├── evaluators/ # Code-based evaluator templates
└── mcp/ # MCP tool templates (Lambda + AgentCoreRuntime)
├── python/
└── python-lambda/
```

The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the Spec.
The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the spec.

For Container builds, `BaseRenderer.render()` automatically copies the `container/<language>/` templates (Dockerfile,
.dockerignore) into the agent directory when `buildType === 'Container'`.
Expand All@@ -31,7 +51,10 @@ For Container builds, `BaseRenderer.render()` automatically copies the `containe

- Always make sure the templates are as close to working code as possible
- AVOID as much as possible using any conditionals within the templates
- Test template rendering with `agentcore add agent` for each framework/protocol combination

## How to use the assets in this directory

- These assets are rendered by the CLI's template renderer in `src/cli/templates/`.
- These assets are rendered by the CLI's template renderer in `src/cli/templates/`
- The `README.md` and `agents/AGENTS.md` are copied verbatim (no template rendering) during project creation
- The `.llm-context/` files are sourced from `src/schema/llm-compacted/` and written during init
87 changes: 56 additions & 31 deletions src/assets/README.md
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -5,22 +5,29 @@ This project was created with the [AgentCore CLI](https://github.com/aws/agentco
## Project Structure

```
.
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── .env.local # API keys (gitignored)
│ ├── agentcore.json # Resource specifications
│ ├── aws-targets.json # Deployment targets
│ └── cdk/ # CDK infrastructure
├── app/ # Application code
│ ├── agentcore.json # Project config (agents, memories, credentials, gateways, evaluators)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # Deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # CDK infrastructure (@aws/agentcore-cdk)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```

## Getting Started

### Prerequisites

- **Node.js** 20.x or later
- **uv** for Python agents ([install](https://docs.astral.sh/uv/getting-started/installation/))
- **Python 3.10+** and **uv** for Python agents ([install uv](https://docs.astral.sh/uv/getting-started/installation/))
- **AWS credentials** configured (`aws configure` or environment variables)
- **Docker** (only for Container build agents)

### Development

Expand All@@ -38,42 +45,60 @@ Deploy to AWS:
agentcore deploy
```

Or use CDK directly:
## Commands

```bash
cd agentcore/cdk
npx cdk deploy
```
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, gateway, evaluator, policy) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS via CDK |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore logs` | View agent logs |
| `agentcore traces` | View agent traces |
| `agentcore eval` | Run evaluations |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` | Pause a deployed agent |
| `agentcore resume` | Resume a paused agent |
| `agentcore fetch` | Fetch remote resource definitions |
| `agentcore import` | Import existing resources |
| `agentcore update` | Check for CLI updates |

## Configuration

Edit the JSON files in `agentcore/` to configure your agents, memory, and credentials. See `agentcore/.llm-context/` for
type definitions and validation constraints.
Edit the JSON files in `agentcore/` to configure your project. See `agentcore/.llm-context/` for type definitions and validation constraints.

The project uses a **flat resource model** where agents, memories, and credentials are top-level arrays in
`agentcore.json`.
The project uses a **flat resource model** — agents, memories, credentials, gateways, evaluators, and policies are top-level arrays in `agentcore.json`. Resources are independent; agents discover memories and credentials at runtime via environment variables or SDK calls.

## Commands
## Resources

| Command | Description |
| -------------------- | ----------------------------------------------- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, target) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally |
| `agentcore deploy` | Deploy to AWS |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore update` | Check for CLI updates |
| Resource | Purpose |
| --- | --- |
| Agent (runtime) | HTTP, MCP, or A2A agent deployed to AgentCore Runtime |
| Memory | Persistent context storage with configurable strategies |
| Credential | API key or OAuth credential providers |
| Gateway | MCP gateway that routes tool calls to targets |
| Gateway Target | Tool implementation (Lambda, MCP server, OpenAPI, Smithy, API Gateway) |
| Evaluator | Custom LLM-as-a-Judge or code-based evaluation |
| Online Eval Config | Continuous evaluation pipeline for deployed agents |
| Policy | Cedar authorization policies for gateway tools |

### Agent Types

- **Template agents**: Created from framework templates (Strands, LangChain_LangGraph, CrewAI, GoogleADK, OpenAIAgents)
- **Template agents**: Created from framework templates (Strands, LangChain/LangGraph, GoogleADK, OpenAI Agents, Autogen)
- **BYO agents**: Bring your own code with `agentcore add agent --type byo`
- **Import agents**: Import existing Bedrock agents with `agentcore import`

### Build Types

- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime
- **Container**: Docker image built via CodeBuild (ARM64), pushed to ECR, and deployed to AgentCore Runtime

## Documentation

- [AgentCore CLI Documentation](https://github.com/aws/agentcore-cli)
- [AgentCore CLI](https://github.com/aws/agentcore-cli)
- [AgentCore CDK Constructs](https://github.com/aws/agentcore-l3-cdk-constructs)
- [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/)
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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

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docs: update vended AGENTS.md, README.md, and llm-context references#898

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jesseturner21
merged 2 commits into

from

Apr 21, 2026
 Merged


docs: update vended AGENTS.md, README.md, and llm-context references
#898
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01ef61d

docs: update vended AGENTS.md, README.md, and llm-context references


notgitika Apr 21, 2026
c22aa77

test: update asset snapshot tests to match new docs content


notgitika Apr 21, 2026

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43 changes: 33 additions & 10 deletions
src/assets/AGENTS.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,27 +2,47 @@

This directory stores:

- Template assets for agents written in different Languages, SDKs and having different configurations
- Template assets for agents written in different languages, SDKs, and configurations
- Container templates (`container/python/`) with `Dockerfile` and `.dockerignore` for Container build agents
- Vended documentation (`README.md`, `agents/AGENTS.md`) copied into user projects at create time
- CDK project template (`cdk/`) using `@aws/agentcore-cdk` L3 constructs
- Evaluator templates (`evaluators/`) for code-based evaluators
- MCP tool templates (`mcp/`) for Lambda and AgentCoreRuntime compute

### Directory Layout

```
assets/
├── python/ # Framework templates (one per SDK)
│ ├── strands/
│ ├── langchain_langgraph/
│ ├── googleadk/
│ ├── openaiagents/
│ └── autogen/
├── README.md # Vended to project root as project README
├── AGENTS.md # This file — internal dev context
├── agents/
│ └── AGENTS.md # Vended to project root for AI coding assistants
├── python/ # Framework templates (one per SDK per protocol)
│ ├── http/ # HTTP protocol agents
│ │ ├── strands/
│ │ ├── langchain_langgraph/
│ │ ├── googleadk/
│ │ ├── openaiagents/
│ │ └── autogen/
│ ├── mcp/ # MCP protocol agents
│ │ └── standalone/
│ └── a2a/ # A2A protocol agents
│ ├── strands/
│ ├── langchain_langgraph/
│ └── googleadk/
├── typescript/ # TypeScript agent templates
├── container/ # Container build templates
│ └── python/
│ ├── Dockerfile
│ └── dockerignore.template
└── agents/ # AGENTS.md vended to user projects
├── cdk/ # CDK project template (@aws/agentcore-cdk)
├── evaluators/ # Code-based evaluator templates
└── mcp/ # MCP tool templates (Lambda + AgentCoreRuntime)
 ├── python/
 └── python-lambda/
```

The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the Spec.
The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the spec.

For Container builds, `BaseRenderer.render()` automatically copies the `container/<language>/` templates (Dockerfile,
.dockerignore) into the agent directory when `buildType === 'Container'`.
Expand All@@ -31,7 +51,10 @@ For Container builds, `BaseRenderer.render()` automatically copies the `containe

- Always make sure the templates are as close to working code as possible
- AVOID as much as possible using any conditionals within the templates
- Test template rendering with `agentcore add agent` for each framework/protocol combination

## How to use the assets in this directory

- These assets are rendered by the CLI's template renderer in `src/cli/templates/`.
- These assets are rendered by the CLI's template renderer in `src/cli/templates/`
- The `README.md` and `agents/AGENTS.md` are copied verbatim (no template rendering) during project creation
- The `.llm-context/` files are sourced from `src/schema/llm-compacted/` and written during init

87 changes: 56 additions & 31 deletions
src/assets/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,22 +5,29 @@ This project was created with the [AgentCore CLI](https://github.com/aws/agentco
## Project Structure

```
.
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── .env.local # API keys (gitignored)
│ ├── agentcore.json # Resource specifications
│ ├── aws-targets.json # Deployment targets
│ └── cdk/ # CDK infrastructure
├── app/ # Application code
│ ├── agentcore.json # Project config (agents, memories, credentials, gateways, evaluators)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # Deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # CDK infrastructure (@aws/agentcore-cdk)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```

## Getting Started

### Prerequisites

- **Node.js** 20.x or later
- **uv** for Python agents ([install](https://docs.astral.sh/uv/getting-started/installation/))
- **Python 3.10+** and **uv** for Python agents ([install uv](https://docs.astral.sh/uv/getting-started/installation/))
- **AWS credentials** configured (`aws configure` or environment variables)
- **Docker** (only for Container build agents)

### Development

Expand All@@ -38,42 +45,60 @@ Deploy to AWS:
agentcore deploy
```

Or use CDK directly:
## Commands

```bash
cd agentcore/cdk
npx cdk deploy
```
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, gateway, evaluator, policy) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS via CDK |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore logs` | View agent logs |
| `agentcore traces` | View agent traces |
| `agentcore eval` | Run evaluations |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` | Pause a deployed agent |
| `agentcore resume` | Resume a paused agent |
| `agentcore fetch` | Fetch remote resource definitions |
| `agentcore import` | Import existing resources |
| `agentcore update` | Check for CLI updates |

## Configuration

Edit the JSON files in `agentcore/` to configure your agents, memory, and credentials. See `agentcore/.llm-context/` for
type definitions and validation constraints.
Edit the JSON files in `agentcore/` to configure your project. See `agentcore/.llm-context/` for type definitions and validation constraints.

The project uses a **flat resource model** where agents, memories, and credentials are top-level arrays in
`agentcore.json`.
The project uses a **flat resource model** — agents, memories, credentials, gateways, evaluators, and policies are top-level arrays in `agentcore.json`. Resources are independent; agents discover memories and credentials at runtime via environment variables or SDK calls.

## Commands
## Resources

| Command | Description |
| -------------------- | ----------------------------------------------- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, target) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally |
| `agentcore deploy` | Deploy to AWS |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore update` | Check for CLI updates |
| Resource | Purpose |
| --- | --- |
| Agent (runtime) | HTTP, MCP, or A2A agent deployed to AgentCore Runtime |
| Memory | Persistent context storage with configurable strategies |
| Credential | API key or OAuth credential providers |
| Gateway | MCP gateway that routes tool calls to targets |
| Gateway Target | Tool implementation (Lambda, MCP server, OpenAPI, Smithy, API Gateway) |
| Evaluator | Custom LLM-as-a-Judge or code-based evaluation |
| Online Eval Config | Continuous evaluation pipeline for deployed agents |
| Policy | Cedar authorization policies for gateway tools |

### Agent Types

- **Template agents**: Created from framework templates (Strands, LangChain_LangGraph, CrewAI, GoogleADK, OpenAIAgents)
- **Template agents**: Created from framework templates (Strands, LangChain/LangGraph, GoogleADK, OpenAI Agents, Autogen)
- **BYO agents**: Bring your own code with `agentcore add agent --type byo`
- **Import agents**: Import existing Bedrock agents with `agentcore import`

### Build Types

- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime
- **Container**: Docker image built via CodeBuild (ARM64), pushed to ECR, and deployed to AgentCore Runtime

## Documentation

- [AgentCore CLI Documentation](https://github.com/aws/agentcore-cli)
- [AgentCore CLI](https://github.com/aws/agentcore-cli)
- [AgentCore CDK Constructs](https://github.com/aws/agentcore-l3-cdk-constructs)
- [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/)
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Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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docs: update vended AGENTS.md, README.md, and llm-context references#898

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 Merged

jesseturner21
merged 2 commits into

from

Apr 21, 2026
 Merged


docs: update vended AGENTS.md, README.md, and llm-context references
#898
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01ef61d

docs: update vended AGENTS.md, README.md, and llm-context references


notgitika Apr 21, 2026
c22aa77

test: update asset snapshot tests to match new docs content


notgitika Apr 21, 2026

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43 changes: 33 additions & 10 deletions
src/assets/AGENTS.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,27 +2,47 @@

This directory stores:

- Template assets for agents written in different Languages, SDKs and having different configurations
- Template assets for agents written in different languages, SDKs, and configurations
- Container templates (`container/python/`) with `Dockerfile` and `.dockerignore` for Container build agents
- Vended documentation (`README.md`, `agents/AGENTS.md`) copied into user projects at create time
- CDK project template (`cdk/`) using `@aws/agentcore-cdk` L3 constructs
- Evaluator templates (`evaluators/`) for code-based evaluators
- MCP tool templates (`mcp/`) for Lambda and AgentCoreRuntime compute

### Directory Layout

```
assets/
├── python/ # Framework templates (one per SDK)
│ ├── strands/
│ ├── langchain_langgraph/
│ ├── googleadk/
│ ├── openaiagents/
│ └── autogen/
├── README.md # Vended to project root as project README
├── AGENTS.md # This file — internal dev context
├── agents/
│ └── AGENTS.md # Vended to project root for AI coding assistants
├── python/ # Framework templates (one per SDK per protocol)
│ ├── http/ # HTTP protocol agents
│ │ ├── strands/
│ │ ├── langchain_langgraph/
│ │ ├── googleadk/
│ │ ├── openaiagents/
│ │ └── autogen/
│ ├── mcp/ # MCP protocol agents
│ │ └── standalone/
│ └── a2a/ # A2A protocol agents
│ ├── strands/
│ ├── langchain_langgraph/
│ └── googleadk/
├── typescript/ # TypeScript agent templates
├── container/ # Container build templates
│ └── python/
│ ├── Dockerfile
│ └── dockerignore.template
└── agents/ # AGENTS.md vended to user projects
├── cdk/ # CDK project template (@aws/agentcore-cdk)
├── evaluators/ # Code-based evaluator templates
└── mcp/ # MCP tool templates (Lambda + AgentCoreRuntime)
 ├── python/
 └── python-lambda/
```

The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the Spec.
The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the spec.

For Container builds, `BaseRenderer.render()` automatically copies the `container/<language>/` templates (Dockerfile,
.dockerignore) into the agent directory when `buildType === 'Container'`.
Expand All@@ -31,7 +51,10 @@ For Container builds, `BaseRenderer.render()` automatically copies the `containe

- Always make sure the templates are as close to working code as possible
- AVOID as much as possible using any conditionals within the templates
- Test template rendering with `agentcore add agent` for each framework/protocol combination

## How to use the assets in this directory

- These assets are rendered by the CLI's template renderer in `src/cli/templates/`.
- These assets are rendered by the CLI's template renderer in `src/cli/templates/`
- The `README.md` and `agents/AGENTS.md` are copied verbatim (no template rendering) during project creation
- The `.llm-context/` files are sourced from `src/schema/llm-compacted/` and written during init

87 changes: 56 additions & 31 deletions
src/assets/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,22 +5,29 @@ This project was created with the [AgentCore CLI](https://github.com/aws/agentco
## Project Structure

```
.
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── .env.local # API keys (gitignored)
│ ├── agentcore.json # Resource specifications
│ ├── aws-targets.json # Deployment targets
│ └── cdk/ # CDK infrastructure
├── app/ # Application code
│ ├── agentcore.json # Project config (agents, memories, credentials, gateways, evaluators)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # Deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # CDK infrastructure (@aws/agentcore-cdk)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```

## Getting Started

### Prerequisites

- **Node.js** 20.x or later
- **uv** for Python agents ([install](https://docs.astral.sh/uv/getting-started/installation/))
- **Python 3.10+** and **uv** for Python agents ([install uv](https://docs.astral.sh/uv/getting-started/installation/))
- **AWS credentials** configured (`aws configure` or environment variables)
- **Docker** (only for Container build agents)

### Development

Expand All@@ -38,42 +45,60 @@ Deploy to AWS:
agentcore deploy
```

Or use CDK directly:
## Commands

```bash
cd agentcore/cdk
npx cdk deploy
```
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, gateway, evaluator, policy) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS via CDK |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore logs` | View agent logs |
| `agentcore traces` | View agent traces |
| `agentcore eval` | Run evaluations |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` | Pause a deployed agent |
| `agentcore resume` | Resume a paused agent |
| `agentcore fetch` | Fetch remote resource definitions |
| `agentcore import` | Import existing resources |
| `agentcore update` | Check for CLI updates |

## Configuration

Edit the JSON files in `agentcore/` to configure your agents, memory, and credentials. See `agentcore/.llm-context/` for
type definitions and validation constraints.
Edit the JSON files in `agentcore/` to configure your project. See `agentcore/.llm-context/` for type definitions and validation constraints.

The project uses a **flat resource model** where agents, memories, and credentials are top-level arrays in
`agentcore.json`.
The project uses a **flat resource model** — agents, memories, credentials, gateways, evaluators, and policies are top-level arrays in `agentcore.json`. Resources are independent; agents discover memories and credentials at runtime via environment variables or SDK calls.

## Commands
## Resources

| Command | Description |
| -------------------- | ----------------------------------------------- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, target) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally |
| `agentcore deploy` | Deploy to AWS |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore update` | Check for CLI updates |
| Resource | Purpose |
| --- | --- |
| Agent (runtime) | HTTP, MCP, or A2A agent deployed to AgentCore Runtime |
| Memory | Persistent context storage with configurable strategies |
| Credential | API key or OAuth credential providers |
| Gateway | MCP gateway that routes tool calls to targets |
| Gateway Target | Tool implementation (Lambda, MCP server, OpenAPI, Smithy, API Gateway) |
| Evaluator | Custom LLM-as-a-Judge or code-based evaluation |
| Online Eval Config | Continuous evaluation pipeline for deployed agents |
| Policy | Cedar authorization policies for gateway tools |

### Agent Types

- **Template agents**: Created from framework templates (Strands, LangChain_LangGraph, CrewAI, GoogleADK, OpenAIAgents)
- **Template agents**: Created from framework templates (Strands, LangChain/LangGraph, GoogleADK, OpenAI Agents, Autogen)
- **BYO agents**: Bring your own code with `agentcore add agent --type byo`
- **Import agents**: Import existing Bedrock agents with `agentcore import`

### Build Types

- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime
- **Container**: Docker image built via CodeBuild (ARM64), pushed to ECR, and deployed to AgentCore Runtime

## Documentation

- [AgentCore CLI Documentation](https://github.com/aws/agentcore-cli)
- [AgentCore CLI](https://github.com/aws/agentcore-cli)
- [AgentCore CDK Constructs](https://github.com/aws/agentcore-l3-cdk-constructs)
- [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/)
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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docs: update vended AGENTS.md, README.md, and llm-context references
#898
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docs: update vended AGENTS.md, README.md, and llm-context references


notgitika Apr 21, 2026
c22aa77

test: update asset snapshot tests to match new docs content


notgitika Apr 21, 2026

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43 changes: 33 additions & 10 deletions
src/assets/AGENTS.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,27 +2,47 @@

This directory stores:

- Template assets for agents written in different Languages, SDKs and having different configurations
- Template assets for agents written in different languages, SDKs, and configurations
- Container templates (`container/python/`) with `Dockerfile` and `.dockerignore` for Container build agents
- Vended documentation (`README.md`, `agents/AGENTS.md`) copied into user projects at create time
- CDK project template (`cdk/`) using `@aws/agentcore-cdk` L3 constructs
- Evaluator templates (`evaluators/`) for code-based evaluators
- MCP tool templates (`mcp/`) for Lambda and AgentCoreRuntime compute

### Directory Layout

```
assets/
├── python/ # Framework templates (one per SDK)
│ ├── strands/
│ ├── langchain_langgraph/
│ ├── googleadk/
│ ├── openaiagents/
│ └── autogen/
├── README.md # Vended to project root as project README
├── AGENTS.md # This file — internal dev context
├── agents/
│ └── AGENTS.md # Vended to project root for AI coding assistants
├── python/ # Framework templates (one per SDK per protocol)
│ ├── http/ # HTTP protocol agents
│ │ ├── strands/
│ │ ├── langchain_langgraph/
│ │ ├── googleadk/
│ │ ├── openaiagents/
│ │ └── autogen/
│ ├── mcp/ # MCP protocol agents
│ │ └── standalone/
│ └── a2a/ # A2A protocol agents
│ ├── strands/
│ ├── langchain_langgraph/
│ └── googleadk/
├── typescript/ # TypeScript agent templates
├── container/ # Container build templates
│ └── python/
│ ├── Dockerfile
│ └── dockerignore.template
└── agents/ # AGENTS.md vended to user projects
├── cdk/ # CDK project template (@aws/agentcore-cdk)
├── evaluators/ # Code-based evaluator templates
└── mcp/ # MCP tool templates (Lambda + AgentCoreRuntime)
 ├── python/
 └── python-lambda/
```

The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the Spec.
The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the spec.

For Container builds, `BaseRenderer.render()` automatically copies the `container/<language>/` templates (Dockerfile,
.dockerignore) into the agent directory when `buildType === 'Container'`.
Expand All@@ -31,7 +51,10 @@ For Container builds, `BaseRenderer.render()` automatically copies the `containe

- Always make sure the templates are as close to working code as possible
- AVOID as much as possible using any conditionals within the templates
- Test template rendering with `agentcore add agent` for each framework/protocol combination

## How to use the assets in this directory

- These assets are rendered by the CLI's template renderer in `src/cli/templates/`.
- These assets are rendered by the CLI's template renderer in `src/cli/templates/`
- The `README.md` and `agents/AGENTS.md` are copied verbatim (no template rendering) during project creation
- The `.llm-context/` files are sourced from `src/schema/llm-compacted/` and written during init

87 changes: 56 additions & 31 deletions
src/assets/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,22 +5,29 @@ This project was created with the [AgentCore CLI](https://github.com/aws/agentco
## Project Structure

```
.
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── .env.local # API keys (gitignored)
│ ├── agentcore.json # Resource specifications
│ ├── aws-targets.json # Deployment targets
│ └── cdk/ # CDK infrastructure
├── app/ # Application code
│ ├── agentcore.json # Project config (agents, memories, credentials, gateways, evaluators)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # Deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # CDK infrastructure (@aws/agentcore-cdk)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```

## Getting Started

### Prerequisites

- **Node.js** 20.x or later
- **uv** for Python agents ([install](https://docs.astral.sh/uv/getting-started/installation/))
- **Python 3.10+** and **uv** for Python agents ([install uv](https://docs.astral.sh/uv/getting-started/installation/))
- **AWS credentials** configured (`aws configure` or environment variables)
- **Docker** (only for Container build agents)

### Development

Expand All@@ -38,42 +45,60 @@ Deploy to AWS:
agentcore deploy
```

Or use CDK directly:
## Commands

```bash
cd agentcore/cdk
npx cdk deploy
```
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, gateway, evaluator, policy) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS via CDK |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore logs` | View agent logs |
| `agentcore traces` | View agent traces |
| `agentcore eval` | Run evaluations |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` | Pause a deployed agent |
| `agentcore resume` | Resume a paused agent |
| `agentcore fetch` | Fetch remote resource definitions |
| `agentcore import` | Import existing resources |
| `agentcore update` | Check for CLI updates |

## Configuration

Edit the JSON files in `agentcore/` to configure your agents, memory, and credentials. See `agentcore/.llm-context/` for
type definitions and validation constraints.
Edit the JSON files in `agentcore/` to configure your project. See `agentcore/.llm-context/` for type definitions and validation constraints.

The project uses a **flat resource model** where agents, memories, and credentials are top-level arrays in
`agentcore.json`.
The project uses a **flat resource model** — agents, memories, credentials, gateways, evaluators, and policies are top-level arrays in `agentcore.json`. Resources are independent; agents discover memories and credentials at runtime via environment variables or SDK calls.

## Commands
## Resources

| Command | Description |
| -------------------- | ----------------------------------------------- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, target) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally |
| `agentcore deploy` | Deploy to AWS |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore update` | Check for CLI updates |
| Resource | Purpose |
| --- | --- |
| Agent (runtime) | HTTP, MCP, or A2A agent deployed to AgentCore Runtime |
| Memory | Persistent context storage with configurable strategies |
| Credential | API key or OAuth credential providers |
| Gateway | MCP gateway that routes tool calls to targets |
| Gateway Target | Tool implementation (Lambda, MCP server, OpenAPI, Smithy, API Gateway) |
| Evaluator | Custom LLM-as-a-Judge or code-based evaluation |
| Online Eval Config | Continuous evaluation pipeline for deployed agents |
| Policy | Cedar authorization policies for gateway tools |

### Agent Types

- **Template agents**: Created from framework templates (Strands, LangChain_LangGraph, CrewAI, GoogleADK, OpenAIAgents)
- **Template agents**: Created from framework templates (Strands, LangChain/LangGraph, GoogleADK, OpenAI Agents, Autogen)
- **BYO agents**: Bring your own code with `agentcore add agent --type byo`
- **Import agents**: Import existing Bedrock agents with `agentcore import`

### Build Types

- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime
- **Container**: Docker image built via CodeBuild (ARM64), pushed to ECR, and deployed to AgentCore Runtime

## Documentation

- [AgentCore CLI Documentation](https://github.com/aws/agentcore-cli)
- [AgentCore CLI](https://github.com/aws/agentcore-cli)
- [AgentCore CDK Constructs](https://github.com/aws/agentcore-l3-cdk-constructs)
- [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/)
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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 Merged

jesseturner21
merged 2 commits into

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Apr 21, 2026
 Merged


docs: update vended AGENTS.md, README.md, and llm-context references
#898
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01ef61d

docs: update vended AGENTS.md, README.md, and llm-context references


notgitika Apr 21, 2026
c22aa77

test: update asset snapshot tests to match new docs content


notgitika Apr 21, 2026

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43 changes: 33 additions & 10 deletions
src/assets/AGENTS.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,27 +2,47 @@

This directory stores:

- Template assets for agents written in different Languages, SDKs and having different configurations
- Template assets for agents written in different languages, SDKs, and configurations
- Container templates (`container/python/`) with `Dockerfile` and `.dockerignore` for Container build agents
- Vended documentation (`README.md`, `agents/AGENTS.md`) copied into user projects at create time
- CDK project template (`cdk/`) using `@aws/agentcore-cdk` L3 constructs
- Evaluator templates (`evaluators/`) for code-based evaluators
- MCP tool templates (`mcp/`) for Lambda and AgentCoreRuntime compute

### Directory Layout

```
assets/
├── python/ # Framework templates (one per SDK)
│ ├── strands/
│ ├── langchain_langgraph/
│ ├── googleadk/
│ ├── openaiagents/
│ └── autogen/
├── README.md # Vended to project root as project README
├── AGENTS.md # This file — internal dev context
├── agents/
│ └── AGENTS.md # Vended to project root for AI coding assistants
├── python/ # Framework templates (one per SDK per protocol)
│ ├── http/ # HTTP protocol agents
│ │ ├── strands/
│ │ ├── langchain_langgraph/
│ │ ├── googleadk/
│ │ ├── openaiagents/
│ │ └── autogen/
│ ├── mcp/ # MCP protocol agents
│ │ └── standalone/
│ └── a2a/ # A2A protocol agents
│ ├── strands/
│ ├── langchain_langgraph/
│ └── googleadk/
├── typescript/ # TypeScript agent templates
├── container/ # Container build templates
│ └── python/
│ ├── Dockerfile
│ └── dockerignore.template
└── agents/ # AGENTS.md vended to user projects
├── cdk/ # CDK project template (@aws/agentcore-cdk)
├── evaluators/ # Code-based evaluator templates
└── mcp/ # MCP tool templates (Lambda + AgentCoreRuntime)
 ├── python/
 └── python-lambda/
```

The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the Spec.
The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the spec.

For Container builds, `BaseRenderer.render()` automatically copies the `container/<language>/` templates (Dockerfile,
.dockerignore) into the agent directory when `buildType === 'Container'`.
Expand All@@ -31,7 +51,10 @@ For Container builds, `BaseRenderer.render()` automatically copies the `containe

- Always make sure the templates are as close to working code as possible
- AVOID as much as possible using any conditionals within the templates
- Test template rendering with `agentcore add agent` for each framework/protocol combination

## How to use the assets in this directory

- These assets are rendered by the CLI's template renderer in `src/cli/templates/`.
- These assets are rendered by the CLI's template renderer in `src/cli/templates/`
- The `README.md` and `agents/AGENTS.md` are copied verbatim (no template rendering) during project creation
- The `.llm-context/` files are sourced from `src/schema/llm-compacted/` and written during init

87 changes: 56 additions & 31 deletions
src/assets/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,22 +5,29 @@ This project was created with the [AgentCore CLI](https://github.com/aws/agentco
## Project Structure

```
.
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── .env.local # API keys (gitignored)
│ ├── agentcore.json # Resource specifications
│ ├── aws-targets.json # Deployment targets
│ └── cdk/ # CDK infrastructure
├── app/ # Application code
│ ├── agentcore.json # Project config (agents, memories, credentials, gateways, evaluators)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # Deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # CDK infrastructure (@aws/agentcore-cdk)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```

## Getting Started

### Prerequisites

- **Node.js** 20.x or later
- **uv** for Python agents ([install](https://docs.astral.sh/uv/getting-started/installation/))
- **Python 3.10+** and **uv** for Python agents ([install uv](https://docs.astral.sh/uv/getting-started/installation/))
- **AWS credentials** configured (`aws configure` or environment variables)
- **Docker** (only for Container build agents)

### Development

Expand All@@ -38,42 +45,60 @@ Deploy to AWS:
agentcore deploy
```

Or use CDK directly:
## Commands

```bash
cd agentcore/cdk
npx cdk deploy
```
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, gateway, evaluator, policy) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS via CDK |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore logs` | View agent logs |
| `agentcore traces` | View agent traces |
| `agentcore eval` | Run evaluations |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` | Pause a deployed agent |
| `agentcore resume` | Resume a paused agent |
| `agentcore fetch` | Fetch remote resource definitions |
| `agentcore import` | Import existing resources |
| `agentcore update` | Check for CLI updates |

## Configuration

Edit the JSON files in `agentcore/` to configure your agents, memory, and credentials. See `agentcore/.llm-context/` for
type definitions and validation constraints.
Edit the JSON files in `agentcore/` to configure your project. See `agentcore/.llm-context/` for type definitions and validation constraints.

The project uses a **flat resource model** where agents, memories, and credentials are top-level arrays in
`agentcore.json`.
The project uses a **flat resource model** — agents, memories, credentials, gateways, evaluators, and policies are top-level arrays in `agentcore.json`. Resources are independent; agents discover memories and credentials at runtime via environment variables or SDK calls.

## Commands
## Resources

| Command | Description |
| -------------------- | ----------------------------------------------- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, target) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally |
| `agentcore deploy` | Deploy to AWS |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore update` | Check for CLI updates |
| Resource | Purpose |
| --- | --- |
| Agent (runtime) | HTTP, MCP, or A2A agent deployed to AgentCore Runtime |
| Memory | Persistent context storage with configurable strategies |
| Credential | API key or OAuth credential providers |
| Gateway | MCP gateway that routes tool calls to targets |
| Gateway Target | Tool implementation (Lambda, MCP server, OpenAPI, Smithy, API Gateway) |
| Evaluator | Custom LLM-as-a-Judge or code-based evaluation |
| Online Eval Config | Continuous evaluation pipeline for deployed agents |
| Policy | Cedar authorization policies for gateway tools |

### Agent Types

- **Template agents**: Created from framework templates (Strands, LangChain_LangGraph, CrewAI, GoogleADK, OpenAIAgents)
- **Template agents**: Created from framework templates (Strands, LangChain/LangGraph, GoogleADK, OpenAI Agents, Autogen)
- **BYO agents**: Bring your own code with `agentcore add agent --type byo`
- **Import agents**: Import existing Bedrock agents with `agentcore import`

### Build Types

- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime
- **Container**: Docker image built via CodeBuild (ARM64), pushed to ECR, and deployed to AgentCore Runtime

## Documentation

- [AgentCore CLI Documentation](https://github.com/aws/agentcore-cli)
- [AgentCore CLI](https://github.com/aws/agentcore-cli)
- [AgentCore CDK Constructs](https://github.com/aws/agentcore-l3-cdk-constructs)
- [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/)
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if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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docs: update vended AGENTS.md, README.md, and llm-context references
#898
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docs: update vended AGENTS.md, README.md, and llm-context references


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test: update asset snapshot tests to match new docs content


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43 changes: 33 additions & 10 deletions
src/assets/AGENTS.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,27 +2,47 @@

This directory stores:

- Template assets for agents written in different Languages, SDKs and having different configurations
- Template assets for agents written in different languages, SDKs, and configurations
- Container templates (`container/python/`) with `Dockerfile` and `.dockerignore` for Container build agents
- Vended documentation (`README.md`, `agents/AGENTS.md`) copied into user projects at create time
- CDK project template (`cdk/`) using `@aws/agentcore-cdk` L3 constructs
- Evaluator templates (`evaluators/`) for code-based evaluators
- MCP tool templates (`mcp/`) for Lambda and AgentCoreRuntime compute

### Directory Layout

```
assets/
├── python/ # Framework templates (one per SDK)
│ ├── strands/
│ ├── langchain_langgraph/
│ ├── googleadk/
│ ├── openaiagents/
│ └── autogen/
├── README.md # Vended to project root as project README
├── AGENTS.md # This file — internal dev context
├── agents/
│ └── AGENTS.md # Vended to project root for AI coding assistants
├── python/ # Framework templates (one per SDK per protocol)
│ ├── http/ # HTTP protocol agents
│ │ ├── strands/
│ │ ├── langchain_langgraph/
│ │ ├── googleadk/
│ │ ├── openaiagents/
│ │ └── autogen/
│ ├── mcp/ # MCP protocol agents
│ │ └── standalone/
│ └── a2a/ # A2A protocol agents
│ ├── strands/
│ ├── langchain_langgraph/
│ └── googleadk/
├── typescript/ # TypeScript agent templates
├── container/ # Container build templates
│ └── python/
│ ├── Dockerfile
│ └── dockerignore.template
└── agents/ # AGENTS.md vended to user projects
├── cdk/ # CDK project template (@aws/agentcore-cdk)
├── evaluators/ # Code-based evaluator templates
└── mcp/ # MCP tool templates (Lambda + AgentCoreRuntime)
 ├── python/
 └── python-lambda/
```

The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the Spec.
The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the spec.

For Container builds, `BaseRenderer.render()` automatically copies the `container/<language>/` templates (Dockerfile,
.dockerignore) into the agent directory when `buildType === 'Container'`.
Expand All@@ -31,7 +51,10 @@ For Container builds, `BaseRenderer.render()` automatically copies the `containe

- Always make sure the templates are as close to working code as possible
- AVOID as much as possible using any conditionals within the templates
- Test template rendering with `agentcore add agent` for each framework/protocol combination

## How to use the assets in this directory

- These assets are rendered by the CLI's template renderer in `src/cli/templates/`.
- These assets are rendered by the CLI's template renderer in `src/cli/templates/`
- The `README.md` and `agents/AGENTS.md` are copied verbatim (no template rendering) during project creation
- The `.llm-context/` files are sourced from `src/schema/llm-compacted/` and written during init

87 changes: 56 additions & 31 deletions
src/assets/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,22 +5,29 @@ This project was created with the [AgentCore CLI](https://github.com/aws/agentco
## Project Structure

```
.
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── .env.local # API keys (gitignored)
│ ├── agentcore.json # Resource specifications
│ ├── aws-targets.json # Deployment targets
│ └── cdk/ # CDK infrastructure
├── app/ # Application code
│ ├── agentcore.json # Project config (agents, memories, credentials, gateways, evaluators)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # Deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # CDK infrastructure (@aws/agentcore-cdk)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```

## Getting Started

### Prerequisites

- **Node.js** 20.x or later
- **uv** for Python agents ([install](https://docs.astral.sh/uv/getting-started/installation/))
- **Python 3.10+** and **uv** for Python agents ([install uv](https://docs.astral.sh/uv/getting-started/installation/))
- **AWS credentials** configured (`aws configure` or environment variables)
- **Docker** (only for Container build agents)

### Development

Expand All@@ -38,42 +45,60 @@ Deploy to AWS:
agentcore deploy
```

Or use CDK directly:
## Commands

```bash
cd agentcore/cdk
npx cdk deploy
```
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, gateway, evaluator, policy) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS via CDK |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore logs` | View agent logs |
| `agentcore traces` | View agent traces |
| `agentcore eval` | Run evaluations |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` | Pause a deployed agent |
| `agentcore resume` | Resume a paused agent |
| `agentcore fetch` | Fetch remote resource definitions |
| `agentcore import` | Import existing resources |
| `agentcore update` | Check for CLI updates |

## Configuration

Edit the JSON files in `agentcore/` to configure your agents, memory, and credentials. See `agentcore/.llm-context/` for
type definitions and validation constraints.
Edit the JSON files in `agentcore/` to configure your project. See `agentcore/.llm-context/` for type definitions and validation constraints.

The project uses a **flat resource model** where agents, memories, and credentials are top-level arrays in
`agentcore.json`.
The project uses a **flat resource model** — agents, memories, credentials, gateways, evaluators, and policies are top-level arrays in `agentcore.json`. Resources are independent; agents discover memories and credentials at runtime via environment variables or SDK calls.

## Commands
## Resources

| Command | Description |
| -------------------- | ----------------------------------------------- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, target) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally |
| `agentcore deploy` | Deploy to AWS |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore update` | Check for CLI updates |
| Resource | Purpose |
| --- | --- |
| Agent (runtime) | HTTP, MCP, or A2A agent deployed to AgentCore Runtime |
| Memory | Persistent context storage with configurable strategies |
| Credential | API key or OAuth credential providers |
| Gateway | MCP gateway that routes tool calls to targets |
| Gateway Target | Tool implementation (Lambda, MCP server, OpenAPI, Smithy, API Gateway) |
| Evaluator | Custom LLM-as-a-Judge or code-based evaluation |
| Online Eval Config | Continuous evaluation pipeline for deployed agents |
| Policy | Cedar authorization policies for gateway tools |

### Agent Types

- **Template agents**: Created from framework templates (Strands, LangChain_LangGraph, CrewAI, GoogleADK, OpenAIAgents)
- **Template agents**: Created from framework templates (Strands, LangChain/LangGraph, GoogleADK, OpenAI Agents, Autogen)
- **BYO agents**: Bring your own code with `agentcore add agent --type byo`
- **Import agents**: Import existing Bedrock agents with `agentcore import`

### Build Types

- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime
- **Container**: Docker image built via CodeBuild (ARM64), pushed to ECR, and deployed to AgentCore Runtime

## Documentation

- [AgentCore CLI Documentation](https://github.com/aws/agentcore-cli)
- [AgentCore CLI](https://github.com/aws/agentcore-cli)
- [AgentCore CDK Constructs](https://github.com/aws/agentcore-l3-cdk-constructs)
- [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/)
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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jesseturner21
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Apr 21, 2026
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docs: update vended AGENTS.md, README.md, and llm-context references
#898
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docs: update vended AGENTS.md, README.md, and llm-context references


notgitika Apr 21, 2026
c22aa77

test: update asset snapshot tests to match new docs content


notgitika Apr 21, 2026

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43 changes: 33 additions & 10 deletions
src/assets/AGENTS.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -2,27 +2,47 @@

This directory stores:

- Template assets for agents written in different Languages, SDKs and having different configurations
- Template assets for agents written in different languages, SDKs, and configurations
- Container templates (`container/python/`) with `Dockerfile` and `.dockerignore` for Container build agents
- Vended documentation (`README.md`, `agents/AGENTS.md`) copied into user projects at create time
- CDK project template (`cdk/`) using `@aws/agentcore-cdk` L3 constructs
- Evaluator templates (`evaluators/`) for code-based evaluators
- MCP tool templates (`mcp/`) for Lambda and AgentCoreRuntime compute

### Directory Layout

```
assets/
├── python/ # Framework templates (one per SDK)
│ ├── strands/
│ ├── langchain_langgraph/
│ ├── googleadk/
│ ├── openaiagents/
│ └── autogen/
├── README.md # Vended to project root as project README
├── AGENTS.md # This file — internal dev context
├── agents/
│ └── AGENTS.md # Vended to project root for AI coding assistants
├── python/ # Framework templates (one per SDK per protocol)
│ ├── http/ # HTTP protocol agents
│ │ ├── strands/
│ │ ├── langchain_langgraph/
│ │ ├── googleadk/
│ │ ├── openaiagents/
│ │ └── autogen/
│ ├── mcp/ # MCP protocol agents
│ │ └── standalone/
│ └── a2a/ # A2A protocol agents
│ ├── strands/
│ ├── langchain_langgraph/
│ └── googleadk/
├── typescript/ # TypeScript agent templates
├── container/ # Container build templates
│ └── python/
│ ├── Dockerfile
│ └── dockerignore.template
└── agents/ # AGENTS.md vended to user projects
├── cdk/ # CDK project template (@aws/agentcore-cdk)
├── evaluators/ # Code-based evaluator templates
└── mcp/ # MCP tool templates (Lambda + AgentCoreRuntime)
 ├── python/
 └── python-lambda/
```

The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the Spec.
The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the spec.

For Container builds, `BaseRenderer.render()` automatically copies the `container/<language>/` templates (Dockerfile,
.dockerignore) into the agent directory when `buildType === 'Container'`.
Expand All@@ -31,7 +51,10 @@ For Container builds, `BaseRenderer.render()` automatically copies the `containe

- Always make sure the templates are as close to working code as possible
- AVOID as much as possible using any conditionals within the templates
- Test template rendering with `agentcore add agent` for each framework/protocol combination

## How to use the assets in this directory

- These assets are rendered by the CLI's template renderer in `src/cli/templates/`.
- These assets are rendered by the CLI's template renderer in `src/cli/templates/`
- The `README.md` and `agents/AGENTS.md` are copied verbatim (no template rendering) during project creation
- The `.llm-context/` files are sourced from `src/schema/llm-compacted/` and written during init

87 changes: 56 additions & 31 deletions
src/assets/README.md

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -5,22 +5,29 @@ This project was created with the [AgentCore CLI](https://github.com/aws/agentco
## Project Structure

```
.
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── .env.local # API keys (gitignored)
│ ├── agentcore.json # Resource specifications
│ ├── aws-targets.json # Deployment targets
│ └── cdk/ # CDK infrastructure
├── app/ # Application code
│ ├── agentcore.json # Project config (agents, memories, credentials, gateways, evaluators)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # Deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # CDK infrastructure (@aws/agentcore-cdk)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```

## Getting Started

### Prerequisites

- **Node.js** 20.x or later
- **uv** for Python agents ([install](https://docs.astral.sh/uv/getting-started/installation/))
- **Python 3.10+** and **uv** for Python agents ([install uv](https://docs.astral.sh/uv/getting-started/installation/))
- **AWS credentials** configured (`aws configure` or environment variables)
- **Docker** (only for Container build agents)

### Development

Expand All@@ -38,42 +45,60 @@ Deploy to AWS:
agentcore deploy
```

Or use CDK directly:
## Commands

```bash
cd agentcore/cdk
npx cdk deploy
```
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, gateway, evaluator, policy) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS via CDK |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore logs` | View agent logs |
| `agentcore traces` | View agent traces |
| `agentcore eval` | Run evaluations |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` | Pause a deployed agent |
| `agentcore resume` | Resume a paused agent |
| `agentcore fetch` | Fetch remote resource definitions |
| `agentcore import` | Import existing resources |
| `agentcore update` | Check for CLI updates |

## Configuration

Edit the JSON files in `agentcore/` to configure your agents, memory, and credentials. See `agentcore/.llm-context/` for
type definitions and validation constraints.
Edit the JSON files in `agentcore/` to configure your project. See `agentcore/.llm-context/` for type definitions and validation constraints.

The project uses a **flat resource model** where agents, memories, and credentials are top-level arrays in
`agentcore.json`.
The project uses a **flat resource model** — agents, memories, credentials, gateways, evaluators, and policies are top-level arrays in `agentcore.json`. Resources are independent; agents discover memories and credentials at runtime via environment variables or SDK calls.

## Commands
## Resources

| Command | Description |
| -------------------- | ----------------------------------------------- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, target) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally |
| `agentcore deploy` | Deploy to AWS |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore update` | Check for CLI updates |
| Resource | Purpose |
| --- | --- |
| Agent (runtime) | HTTP, MCP, or A2A agent deployed to AgentCore Runtime |
| Memory | Persistent context storage with configurable strategies |
| Credential | API key or OAuth credential providers |
| Gateway | MCP gateway that routes tool calls to targets |
| Gateway Target | Tool implementation (Lambda, MCP server, OpenAPI, Smithy, API Gateway) |
| Evaluator | Custom LLM-as-a-Judge or code-based evaluation |
| Online Eval Config | Continuous evaluation pipeline for deployed agents |
| Policy | Cedar authorization policies for gateway tools |

### Agent Types

- **Template agents**: Created from framework templates (Strands, LangChain_LangGraph, CrewAI, GoogleADK, OpenAIAgents)
- **Template agents**: Created from framework templates (Strands, LangChain/LangGraph, GoogleADK, OpenAI Agents, Autogen)
- **BYO agents**: Bring your own code with `agentcore add agent --type byo`
- **Import agents**: Import existing Bedrock agents with `agentcore import`

### Build Types

- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime
- **Container**: Docker image built via CodeBuild (ARM64), pushed to ECR, and deployed to AgentCore Runtime

## Documentation

- [AgentCore CLI Documentation](https://github.com/aws/agentcore-cli)
- [AgentCore CLI](https://github.com/aws/agentcore-cli)
- [AgentCore CDK Constructs](https://github.com/aws/agentcore-l3-cdk-constructs)
- [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/)
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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docs: update vended AGENTS.md, README.md, and llm-context references#898

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 Merged

jesseturner21
merged 2 commits into

from

Apr 21, 2026
 Merged


docs: update vended AGENTS.md, README.md, and llm-context references
#898
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01ef61d

docs: update vended AGENTS.md, README.md, and llm-context references


notgitika Apr 21, 2026
c22aa77

test: update asset snapshot tests to match new docs content


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src/assets/AGENTS.md

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This directory stores:

- Template assets for agents written in different Languages, SDKs and having different configurations
- Template assets for agents written in different languages, SDKs, and configurations
- Container templates (`container/python/`) with `Dockerfile` and `.dockerignore` for Container build agents
- Vended documentation (`README.md`, `agents/AGENTS.md`) copied into user projects at create time
- CDK project template (`cdk/`) using `@aws/agentcore-cdk` L3 constructs
- Evaluator templates (`evaluators/`) for code-based evaluators
- MCP tool templates (`mcp/`) for Lambda and AgentCoreRuntime compute

### Directory Layout

```
assets/
├── python/ # Framework templates (one per SDK)
│ ├── strands/
│ ├── langchain_langgraph/
│ ├── googleadk/
│ ├── openaiagents/
│ └── autogen/
├── README.md # Vended to project root as project README
├── AGENTS.md # This file — internal dev context
├── agents/
│ └── AGENTS.md # Vended to project root for AI coding assistants
├── python/ # Framework templates (one per SDK per protocol)
│ ├── http/ # HTTP protocol agents
│ │ ├── strands/
│ │ ├── langchain_langgraph/
│ │ ├── googleadk/
│ │ ├── openaiagents/
│ │ └── autogen/
│ ├── mcp/ # MCP protocol agents
│ │ └── standalone/
│ └── a2a/ # A2A protocol agents
│ ├── strands/
│ ├── langchain_langgraph/
│ └── googleadk/
├── typescript/ # TypeScript agent templates
├── container/ # Container build templates
│ └── python/
│ ├── Dockerfile
│ └── dockerignore.template
└── agents/ # AGENTS.md vended to user projects
├── cdk/ # CDK project template (@aws/agentcore-cdk)
├── evaluators/ # Code-based evaluator templates
└── mcp/ # MCP tool templates (Lambda + AgentCoreRuntime)
 ├── python/
 └── python-lambda/
```

The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the Spec.
The rendering logic is rooted in the `AgentEnvSpec` and must ALWAYS respect the configuration in the spec.

For Container builds, `BaseRenderer.render()` automatically copies the `container/<language>/` templates (Dockerfile,
.dockerignore) into the agent directory when `buildType === 'Container'`.
Expand All@@ -31,7 +51,10 @@ For Container builds, `BaseRenderer.render()` automatically copies the `containe

- Always make sure the templates are as close to working code as possible
- AVOID as much as possible using any conditionals within the templates
- Test template rendering with `agentcore add agent` for each framework/protocol combination

## How to use the assets in this directory

- These assets are rendered by the CLI's template renderer in `src/cli/templates/`.
- These assets are rendered by the CLI's template renderer in `src/cli/templates/`
- The `README.md` and `agents/AGENTS.md` are copied verbatim (no template rendering) during project creation
- The `.llm-context/` files are sourced from `src/schema/llm-compacted/` and written during init

87 changes: 56 additions & 31 deletions
src/assets/README.md

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## Project Structure

```
.
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── .env.local # API keys (gitignored)
│ ├── agentcore.json # Resource specifications
│ ├── aws-targets.json # Deployment targets
│ └── cdk/ # CDK infrastructure
├── app/ # Application code
│ ├── agentcore.json # Project config (agents, memories, credentials, gateways, evaluators)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # Deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # CDK infrastructure (@aws/agentcore-cdk)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```

## Getting Started

### Prerequisites

- **Node.js** 20.x or later
- **uv** for Python agents ([install](https://docs.astral.sh/uv/getting-started/installation/))
- **Python 3.10+** and **uv** for Python agents ([install uv](https://docs.astral.sh/uv/getting-started/installation/))
- **AWS credentials** configured (`aws configure` or environment variables)
- **Docker** (only for Container build agents)

### Development

Expand All@@ -38,42 +45,60 @@ Deploy to AWS:
agentcore deploy
```

Or use CDK directly:
## Commands

```bash
cd agentcore/cdk
npx cdk deploy
```
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, gateway, evaluator, policy) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS via CDK |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore logs` | View agent logs |
| `agentcore traces` | View agent traces |
| `agentcore eval` | Run evaluations |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` | Pause a deployed agent |
| `agentcore resume` | Resume a paused agent |
| `agentcore fetch` | Fetch remote resource definitions |
| `agentcore import` | Import existing resources |
| `agentcore update` | Check for CLI updates |

## Configuration

Edit the JSON files in `agentcore/` to configure your agents, memory, and credentials. See `agentcore/.llm-context/` for
type definitions and validation constraints.
Edit the JSON files in `agentcore/` to configure your project. See `agentcore/.llm-context/` for type definitions and validation constraints.

The project uses a **flat resource model** where agents, memories, and credentials are top-level arrays in
`agentcore.json`.
The project uses a **flat resource model** — agents, memories, credentials, gateways, evaluators, and policies are top-level arrays in `agentcore.json`. Resources are independent; agents discover memories and credentials at runtime via environment variables or SDK calls.

## Commands
## Resources

| Command | Description |
| -------------------- | ----------------------------------------------- |
| `agentcore create` | Create a new AgentCore project |
| `agentcore add` | Add resources (agent, memory, credential, target) |
| `agentcore remove` | Remove resources |
| `agentcore dev` | Run agent locally |
| `agentcore deploy` | Deploy to AWS |
| `agentcore status` | Show deployment status |
| `agentcore invoke` | Invoke agent (local or deployed) |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore update` | Check for CLI updates |
| Resource | Purpose |
| --- | --- |
| Agent (runtime) | HTTP, MCP, or A2A agent deployed to AgentCore Runtime |
| Memory | Persistent context storage with configurable strategies |
| Credential | API key or OAuth credential providers |
| Gateway | MCP gateway that routes tool calls to targets |
| Gateway Target | Tool implementation (Lambda, MCP server, OpenAPI, Smithy, API Gateway) |
| Evaluator | Custom LLM-as-a-Judge or code-based evaluation |
| Online Eval Config | Continuous evaluation pipeline for deployed agents |
| Policy | Cedar authorization policies for gateway tools |

### Agent Types

- **Template agents**: Created from framework templates (Strands, LangChain_LangGraph, CrewAI, GoogleADK, OpenAIAgents)
- **Template agents**: Created from framework templates (Strands, LangChain/LangGraph, GoogleADK, OpenAI Agents, Autogen)
- **BYO agents**: Bring your own code with `agentcore add agent --type byo`
- **Import agents**: Import existing Bedrock agents with `agentcore import`

### Build Types

- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime
- **Container**: Docker image built via CodeBuild (ARM64), pushed to ECR, and deployed to AgentCore Runtime

## Documentation

- [AgentCore CLI Documentation](https://github.com/aws/agentcore-cli)
- [AgentCore CLI](https://github.com/aws/agentcore-cli)
- [AgentCore CDK Constructs](https://github.com/aws/agentcore-l3-cdk-constructs)
- [Amazon Bedrock AgentCore](https://aws.amazon.com/bedrock/agentcore/)
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