agent-claw: automated task changes

This commit is contained in:
daniel
2026-05-06 18:55:16 -05:00
parent 38905bb1e9
commit 732b00fb66
8494 changed files with 2018127 additions and 4 deletions

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# AgentCore Project
This project contains configuration and infrastructure for an Amazon Bedrock AgentCore application.
The `agentcore/` directory is a declarative model of the project. The `agentcore/cdk/` subdirectory uses the
`@aws/agentcore-cdk` L3 constructs to deploy the configuration to AWS.
## Mental Model
The project uses a **flat resource model**. Agents, memories, credentials, gateways, evaluators, and policies are
independent top-level arrays in `agentcore.json`. There is no binding between resources in the schema — each resource is
provisioned independently. Agents discover memories and credentials at runtime via environment variables or SDK calls.
Tags defined in `agentcore.json` flow through to deployed CloudFormation resources.
## Critical Invariants
1. **Schema-First Authority:** The `.json` files are the source of truth. Do not modify agent behavior by editing
generated CDK code in `cdk/`.
2. **Resource Identity:** The `name` field determines the CloudFormation Logical ID.
- **Renaming** a resource will **destroy and recreate** it.
- **Modifying** other fields will update the resource **in-place**.
3. **Schema Validation:** If your JSON conforms to the types in `.llm-context/`, it will deploy successfully. Run
`agentcore validate` to check.
4. **Resource Removal:** Use `agentcore remove` to remove resources. Run `agentcore deploy` after removal to tear down
deployed infrastructure.
## Directory Structure
```
myProject/
├── AGENTS.md # This file — AI coding assistant context
├── agentcore/
│ ├── agentcore.json # Main project config (AgentCoreProjectSpec)
│ ├── aws-targets.json # Deployment targets (account + region)
│ ├── .env.local # Secrets — API keys (gitignored)
│ ├── .llm-context/ # TypeScript type definitions for AI assistants
│ │ ├── README.md # Guide to using schema files
│ │ ├── agentcore.ts # AgentCoreProjectSpec types
│ │ ├── aws-targets.ts # AWS deployment target types
│ │ └── mcp.ts # Gateway and MCP tool types
│ └── cdk/ # AWS CDK project (@aws/agentcore-cdk L3 constructs)
├── app/ # Agent application code
└── evaluators/ # Custom evaluator code (if any)
```
## Schema Reference
The `agentcore/.llm-context/` directory contains TypeScript type definitions optimized for AI coding assistants. Each
file maps to a JSON config file and includes validation constraints as comments (`@regex`, `@min`, `@max`).
| JSON Config | Schema File | Root Type |
| --- | --- | --- |
| `agentcore/agentcore.json` | `agentcore/.llm-context/agentcore.ts` | `AgentCoreProjectSpec` |
| `agentcore/agentcore.json` (gateways) | `agentcore/.llm-context/mcp.ts` | `AgentCoreMcpSpec` |
| `agentcore/aws-targets.json` | `agentcore/.llm-context/aws-targets.ts` | `AwsDeploymentTarget[]` |
### Key Types
- **AgentCoreProjectSpec**: Root config with `runtimes`, `memories`, `credentials`, `agentCoreGateways`, `evaluators`, `onlineEvalConfigs`, `policyEngines` arrays
- **AgentEnvSpec**: Agent configuration (build type, entrypoint, code location, runtime version, network mode)
- **Memory**: Memory resource with strategies (SEMANTIC, SUMMARIZATION, USER_PREFERENCE, EPISODIC) and expiry
- **Credential**: API key or OAuth credential provider
- **AgentCoreGateway**: MCP gateway with targets (Lambda, MCP server, OpenAPI, Smithy, API Gateway)
- **Evaluator**: LLM-as-a-Judge or code-based evaluator
- **OnlineEvalConfig**: Continuous evaluation pipeline bound to an agent
### Common Enum Values
- **BuildType**: `'CodeZip'` | `'Container'`
- **NetworkMode**: `'PUBLIC'` | `'VPC'`
- **RuntimeVersion**: `'PYTHON_3_10'` | `'PYTHON_3_11'` | `'PYTHON_3_12'` | `'PYTHON_3_13'` | `'PYTHON_3_14'` | `'NODE_18'` | `'NODE_20'` | `'NODE_22'`
- **MemoryStrategyType**: `'SEMANTIC'` | `'SUMMARIZATION'` | `'USER_PREFERENCE'` | `'EPISODIC'`
- **GatewayTargetType**: `'lambda'` | `'mcpServer'` | `'openApiSchema'` | `'smithyModel'` | `'apiGateway'` | `'lambdaFunctionArn'`
- **ModelProvider**: `'Bedrock'` | `'Gemini'` | `'OpenAI'` | `'Anthropic'`
### Build Types
- **CodeZip**: Python source packaged as a zip and deployed directly to AgentCore Runtime.
- **Container**: Docker image built in CodeBuild (ARM64), pushed to a per-agent ECR repository. Requires a `Dockerfile`
in the agent's `codeLocation` directory. For local development (`agentcore dev`), the container is built and run
locally with volume-mounted hot-reload.
### Supported Frameworks (for template agents)
- **Strands** — Bedrock, Anthropic, OpenAI, Gemini
- **LangChain/LangGraph** — Bedrock, Anthropic, OpenAI, Gemini
- **GoogleADK** — Gemini
- **OpenAI Agents** — OpenAI
- **Autogen** — Bedrock, Anthropic, OpenAI, Gemini
### Protocols
- **HTTP** — Standard HTTP agent endpoint
- **MCP** — Model Context Protocol server
- **A2A** — Agent-to-Agent protocol (Google A2A)
## Deployment
Deployments are orchestrated through the CLI:
```bash
agentcore deploy # Synthesizes CDK and deploys to AWS
agentcore status # Shows deployment status
```
Alternatively, deploy directly via CDK:
```bash
cd agentcore/cdk
npm install
npx cdk synth
npx cdk deploy
```
## Editing Schemas
When modifying JSON config files:
1. Read the corresponding `agentcore/.llm-context/*.ts` file for type definitions
2. Check validation constraint comments (`@regex`, `@min`, `@max`)
3. Use exact enum values as string literals
4. Use CloudFormation-safe names (alphanumeric, start with letter)
5. Run `agentcore validate` to verify changes
## CLI Commands
| Command | Description |
| --- | --- |
| `agentcore create` | Create a new project |
| `agentcore add <resource>` | Add agent, memory, credential, gateway, evaluator, policy |
| `agentcore remove <resource>` | Remove a resource |
| `agentcore dev` | Run agent locally with hot-reload |
| `agentcore deploy` | Deploy to AWS |
| `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 against an agent |
| `agentcore package` | Package agent artifacts |
| `agentcore validate` | Validate configuration |
| `agentcore pause` / `resume` | Pause or resume a deployed agent |

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# AgentCore Project
This project was created with the [AgentCore CLI](https://github.com/aws/agentcore-cli).
## Project Structure
```
my-project/
├── AGENTS.md # AI coding assistant context
├── agentcore/
│ ├── 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
- **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
Run your agent locally:
```bash
agentcore dev
```
### Deployment
Deploy to AWS:
```bash
agentcore deploy
```
## Commands
| 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 project. See `agentcore/.llm-context/` for type definitions and validation constraints.
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.
## Resources
| 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, 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](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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{
"targets": {
"default": {
"resources": {
"runtimes": {
"agent_claw_main": {
"runtimeId": "agentclaw_agent_claw_main-vTRGIEG6ON",
"runtimeArn": "arn:aws:bedrock-agentcore:us-east-1:495395224548:runtime/agentclaw_agent_claw_main-vTRGIEG6ON",
"roleArn": "arn:aws:iam::495395224548:role/AgentCore-agentclaw-defau-ApplicationAgentAgentClaw-Ttg8kEtQ3cJj"
}
},
"memories": {
"AgentClawMemory": {
"memoryId": "agentclaw_AgentClawMemory-i7Csf776AH",
"memoryArn": "arn:aws:bedrock-agentcore:us-east-1:495395224548:memory/agentclaw_AgentClawMemory-i7Csf776AH"
}
},
"stackName": "AgentCore-agentclaw-default"
}
}
}
}

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# Secrets (local environment files are never committed)
.env.local
# CDK Build Artifacts
cdk/cdk.out/
cdk/node_modules/
# CLI Internals
.cli/*
# Ephemeral Staging
.cache/*
# Exception: Commit the State
!.cli/deployed-state.json

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# LLM Context Files
**DO NOT EDIT THESE FILES** - They are read-only reference for AI coding assistants.
## Files
| File | JSON Config | Purpose |
| ---------------- | ------------------ | ----------------------------------------- |
| `agentcore.ts` | `agentcore.json` | Project, agent, memory, credential config |
| `mcp.ts` | `agentcore.json` | Gateways, targets, MCP runtime tools |
| `aws-targets.ts` | `aws-targets.json` | Deployment targets (account + region) |
## Usage
When editing schema JSON files, reference the corresponding `.ts` file here for type definitions and validation
constraints (marked with `@regex`, `@min`, `@max`).

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/* eslint-disable @typescript-eslint/no-unused-vars */
/**
* READ-ONLY LLM CONTEXT - Do not edit this file.
*
* JSON File: agentcore/agentcore.json
* Purpose: Top-level project configuration with flat resource model
*/
// ─────────────────────────────────────────────────────────────────────────────
// ROOT SCHEMA: AgentCoreProjectSpec
// ─────────────────────────────────────────────────────────────────────────────
interface AgentCoreProjectSpec {
name: string; // @regex ^[A-Za-z][A-Za-z0-9]{0,22}$ @max 23 - project name
version: number; // Schema version (integer)
managedBy: 'CDK'; // Enum — infrastructure manager. Default: "CDK"
tags?: Record<string, string>;
runtimes: AgentEnvSpec[]; // Unique by name
memories: Memory[]; // Unique by name
credentials: Credential[]; // Unique by name
evaluators: Evaluator[]; // Unique by name — custom evaluator definitions
onlineEvalConfigs: OnlineEvalConfig[]; // Unique by name — online evaluation configs
agentCoreGateways: AgentCoreGateway[]; // Unique by name — MCP gateways
mcpRuntimeTools?: AgentCoreMcpRuntimeTool[]; // Unique by name — standalone MCP runtime tools (not behind a gateway)
unassignedTargets?: AgentCoreGatewayTarget[]; // Unique by name — targets not yet assigned to a gateway
policyEngines: PolicyEngine[]; // Unique by name — Cedar policy engines
configBundles: ConfigBundle[]; // Unique by name — configuration bundles for versioned config
abTests: ABTest[]; // Unique by name — A/B test experiments
/** @internal Auto-managed by AB test creation. Do not configure directly. */
httpGateways: HttpGateway[]; // Unique by name — HTTP gateways bound to a runtime
}
// ─────────────────────────────────────────────────────────────────────────────
// ENUMS
// ─────────────────────────────────────────────────────────────────────────────
type BuildType = 'CodeZip' | 'Container';
type PythonRuntime = 'PYTHON_3_10' | 'PYTHON_3_11' | 'PYTHON_3_12' | 'PYTHON_3_13' | 'PYTHON_3_14';
type NodeRuntime = 'NODE_18' | 'NODE_20' | 'NODE_22';
type RuntimeVersion = PythonRuntime | NodeRuntime;
type NetworkMode = 'PUBLIC' | 'VPC';
interface NetworkConfig {
subnets: string[]; // subnet-xxx IDs
securityGroups: string[]; // sg-xxx IDs
}
type MemoryStrategyType = 'SEMANTIC' | 'SUMMARIZATION' | 'USER_PREFERENCE' | 'EPISODIC';
type ModelProvider = 'Bedrock' | 'Gemini' | 'OpenAI' | 'Anthropic';
type EvaluationLevel = 'SESSION' | 'TRACE' | 'TOOL_CALL';
type GatewayTargetType = 'lambda' | 'mcpServer' | 'openApiSchema' | 'smithyModel' | 'apiGateway' | 'lambdaFunctionArn';
type OutboundAuthType = 'OAUTH' | 'API_KEY' | 'NONE';
type GatewayAuthorizerType = 'NONE' | 'AWS_IAM' | 'CUSTOM_JWT';
type GatewayExceptionLevel = 'NONE' | 'DEBUG';
type PolicyEngineMode = 'LOG_ONLY' | 'ENFORCE';
type ValidationMode = 'FAIL_ON_ANY_FINDINGS' | 'IGNORE_ALL_FINDINGS';
type ComputeHost = 'Lambda' | 'AgentCoreRuntime';
type ABTestVariantName = 'C' | 'T1';
// ─────────────────────────────────────────────────────────────────────────────
// AGENT
// ─────────────────────────────────────────────────────────────────────────────
type ProtocolMode = 'HTTP' | 'MCP' | 'A2A' | 'AGUI';
interface AgentEnvSpec {
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9_]{0,47}$ @max 48
build: BuildType;
entrypoint: string; // @regex ^[a-zA-Z0-9_][a-zA-Z0-9_/.-]*\.(py|ts|js)(:[a-zA-Z_][a-zA-Z0-9_]*)?$ e.g. "main.py:handler" or "index.ts"
codeLocation: string; // Directory path
dockerfile?: string; // Custom Dockerfile name for Container builds (default: 'Dockerfile'). Must be a filename, not a path.
runtimeVersion?: RuntimeVersion;
envVars?: EnvVar[];
networkMode?: NetworkMode; // default 'PUBLIC'
networkConfig?: NetworkConfig; // Required when networkMode is 'VPC'
instrumentation?: Instrumentation; // OTel settings
protocol?: ProtocolMode; // default 'HTTP'
tags?: Record<string, string>;
}
interface Instrumentation {
enableOtel: boolean; // default true - wrap entrypoint with opentelemetry-instrument
}
interface EnvVar {
name: string; // @regex ^[A-Za-z_][A-Za-z0-9_]*$ @max 255
value: string;
}
// ─────────────────────────────────────────────────────────────────────────────
// MEMORY
// ─────────────────────────────────────────────────────────────────────────────
interface Memory {
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9_]{0,47}$ @max 48
eventExpiryDuration: number; // @min 3 @max 365 (days)
strategies: MemoryStrategy[]; // Unique by type. Can be empty (short-term memory).
tags?: Record<string, string>;
encryptionKeyArn?: string;
executionRoleArn?: string;
}
interface MemoryStrategy {
type: MemoryStrategyType;
name?: string; // @regex ^[a-zA-Z][a-zA-Z0-9_]{0,47}$ @max 48
description?: string;
namespaces?: string[];
reflectionNamespaces?: string[]; // EPISODIC only: namespaces for cross-episode reflections
}
// ─────────────────────────────────────────────────────────────────────────────
// CREDENTIAL
// ─────────────────────────────────────────────────────────────────────────────
interface Credential {
authorizerType: 'ApiKeyCredentialProvider' | 'OAuthCredentialProvider';
name: string; // @regex ^[a-zA-Z0-9\-_]+$ @min 1 @max 128
// Additional fields for OAuthCredentialProvider:
discoveryUrl?: string; // OIDC discovery URL (OAuth only)
scopes?: string[]; // Supported scopes (OAuth only)
vendor?: string; // Credential provider vendor type (OAuth only, default: 'CustomOauth2')
managed?: boolean; // Whether auto-created by CLI (OAuth only)
usage?: 'inbound' | 'outbound'; // Auth direction (OAuth only)
}
// ─────────────────────────────────────────────────────────────────────────────
// EVALUATOR
// ─────────────────────────────────────────────────────────────────────────────
interface Evaluator {
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9_]{0,47}$ @max 48
level: EvaluationLevel;
description?: string;
config: EvaluatorConfig; // Must have either llmAsAJudge or codeBased, not both
tags?: Record<string, string>;
}
interface EvaluatorConfig {
llmAsAJudge?: LlmAsAJudgeConfig;
codeBased?: CodeBasedConfig;
}
interface LlmAsAJudgeConfig {
model: string; // Bedrock model ID or ARN
instructions: string; // Evaluation instructions
ratingScale: RatingScale; // Must have either numerical or categorical, not both
}
interface RatingScale {
numerical?: { value: number; label: string; definition: string }[];
categorical?: { label: string; definition: string }[];
}
interface CodeBasedConfig {
managed?: ManagedCodeBasedConfig;
external?: ExternalCodeBasedConfig;
}
interface ManagedCodeBasedConfig {
codeLocation: string;
entrypoint: string; // default 'lambda_function.handler'
timeoutSeconds: number; // @min 1 @max 300 (default 60)
additionalPolicies?: string[];
}
interface ExternalCodeBasedConfig {
lambdaArn: string; // @regex ^arn:aws[a-z-]*:lambda:[a-z0-9-]+:\d{12}:function:.+$
}
// ─────────────────────────────────────────────────────────────────────────────
// ONLINE EVAL CONFIG
// ─────────────────────────────────────────────────────────────────────────────
interface OnlineEvalConfig {
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9_]{0,47}$ @max 48
agent: string; // Agent name — must match a project agent
evaluators: string[]; // @min 1 — evaluator names, Builtin.* IDs, or evaluator ARNs
samplingRate: number; // @min 0.01 @max 100 (percentage)
description?: string; // @max 200
enableOnCreate?: boolean; // Whether to enable on create (default: true)
tags?: Record<string, string>;
}
// ─────────────────────────────────────────────────────────────────────────────
// GATEWAY (MCP)
// ─────────────────────────────────────────────────────────────────────────────
interface AgentCoreGateway {
name: string; // @regex ^[0-9a-zA-Z](?:[0-9a-zA-Z-]*[0-9a-zA-Z])?$ @max 100
description?: string;
targets: AgentCoreGatewayTarget[]; // Gateway targets
authorizerType?: GatewayAuthorizerType; // default 'NONE'
authorizerConfiguration?: AuthorizerConfig; // Required when authorizerType is 'CUSTOM_JWT'
enableSemanticSearch?: boolean; // default true
exceptionLevel?: GatewayExceptionLevel; // default 'NONE'
policyEngineConfiguration?: GatewayPolicyEngineConfiguration;
tags?: Record<string, string>;
}
interface AuthorizerConfig {
customJwtAuthorizer?: {
discoveryUrl: string; // OIDC discovery URL (HTTPS, must end with /.well-known/openid-configuration)
allowedAudience?: string[];
allowedClients?: string[];
allowedScopes?: string[];
customClaims?: CustomClaimValidation[];
};
}
interface CustomClaimValidation {
inboundTokenClaimName: string; // @regex ^[A-Za-z0-9_.:-]+$ @max 255
inboundTokenClaimValueType: 'STRING' | 'STRING_ARRAY';
authorizingClaimMatchValue: {
claimMatchOperator: 'EQUALS' | 'CONTAINS' | 'CONTAINS_ANY';
claimMatchValue: {
matchValueString?: string; // @regex ^[A-Za-z0-9_.-]+$ @max 255
matchValueStringList?: string[]; // each @regex ^[A-Za-z0-9_.-]+$ @max 255
};
};
}
interface GatewayPolicyEngineConfiguration {
policyEngineName: string; // Reference to a PolicyEngine name
mode: PolicyEngineMode;
}
// ─────────────────────────────────────────────────────────────────────────────
// GATEWAY TARGET
// ─────────────────────────────────────────────────────────────────────────────
interface AgentCoreGatewayTarget {
name: string;
targetType: GatewayTargetType;
toolDefinitions?: ToolDefinition[]; // Required for 'lambda' targets
compute?: ToolComputeConfig; // Required for 'lambda' and scaffold targets
endpoint?: string; // URL — required for external 'mcpServer' targets
outboundAuth?: OutboundAuth;
apiGateway?: ApiGatewayConfig; // Required for 'apiGateway' target type
schemaSource?: SchemaSource; // Required for 'openApiSchema' / 'smithyModel' targets
lambdaFunctionArn?: LambdaFunctionArnConfig; // Required for 'lambdaFunctionArn' target type
}
interface OutboundAuth {
type: OutboundAuthType; // default 'NONE'
credentialName?: string; // Required when type is not 'NONE'
scopes?: string[];
}
interface ToolDefinition {
name: string;
description?: string;
inputSchema: object; // JSON Schema
outputSchema?: object;
}
interface ToolComputeConfig {
host: ComputeHost;
implementation: ToolImplementationBinding;
// Lambda-specific:
nodeVersion?: NodeRuntime; // Required for TypeScript Lambda
pythonVersion?: PythonRuntime; // Required for Python Lambda
timeout?: number; // @min 1 @max 900
memorySize?: number; // @min 128 @max 10240
iamPolicy?: object; // IAM policy document
// AgentCoreRuntime-specific:
runtime?: RuntimeConfig;
}
interface ToolImplementationBinding {
language: 'TypeScript' | 'Python';
path: string;
handler: string;
}
interface RuntimeConfig {
artifact: 'CodeZip';
pythonVersion: PythonRuntime;
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9_]{0,47}$ @max 48
entrypoint: string; // Python file path with optional handler
codeLocation: string;
instrumentation?: Instrumentation;
networkMode?: NetworkMode; // default 'PUBLIC'
description?: string;
}
interface ApiGatewayConfig {
restApiId: string;
stage: string;
apiGatewayToolConfiguration: {
toolFilters: {
filterPath: string;
methods: ('GET' | 'POST' | 'PUT' | 'DELETE' | 'PATCH' | 'HEAD' | 'OPTIONS')[];
}[];
toolOverrides?: { name: string; path: string; method: string; description?: string }[];
};
}
interface LambdaFunctionArnConfig {
lambdaArn: string; // @max 170
toolSchemaFile: string;
}
type SchemaSource = { inline: { path: string } } | { s3: { uri: string; bucketOwnerAccountId?: string } };
// ─────────────────────────────────────────────────────────────────────────────
// MCP RUNTIME TOOL
// ─────────────────────────────────────────────────────────────────────────────
interface AgentCoreMcpRuntimeTool {
name: string;
toolDefinition: ToolDefinition;
compute: {
host: 'AgentCoreRuntime'; // Only AgentCoreRuntime (Python only)
implementation: ToolImplementationBinding;
runtime?: RuntimeConfig;
iamPolicy?: object;
};
bindings?: McpRuntimeBinding[]; // Grant agents permission to invoke this tool
}
interface McpRuntimeBinding {
runtimeName: string; // Agent runtime name to bind to
envVarName: string; // @regex ^[A-Za-z_][A-Za-z0-9_]*$ — env var for runtime ARN
}
// ─────────────────────────────────────────────────────────────────────────────
// POLICY ENGINE
// ─────────────────────────────────────────────────────────────────────────────
interface PolicyEngine {
name: string; // @regex ^[A-Za-z][A-Za-z0-9_]{0,47}$ @max 48
description?: string; // @max 4096
encryptionKeyArn?: string;
tags?: Record<string, string>;
policies: Policy[]; // Unique by name
}
interface Policy {
name: string; // @regex ^[A-Za-z][A-Za-z0-9_]{0,47}$ @max 48
description?: string; // @max 4096
statement: string; // Cedar policy statement
sourceFile?: string;
validationMode: ValidationMode; // default 'FAIL_ON_ANY_FINDINGS'
}
// ─────────────────────────────────────────────────────────────────────────────
// CONFIG BUNDLE
// ─────────────────────────────────────────────────────────────────────────────
interface ConfigBundle {
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9_]{0,99}$ @max 100
description?: string; // @max 500
/** Component configurations keyed by component ARN or placeholder (e.g. {{runtime:<runtimeName>}}) */
components: Record<string, ComponentConfiguration>;
branchName?: string; // @max 128 — optional branch name for versioning
commitMessage?: string; // @max 500 — optional commit message
}
interface ComponentConfiguration {
configuration: Record<string, unknown>; // Freeform configuration for the component
}
// ─────────────────────────────────────────────────────────────────────────────
// AB TEST
// ─────────────────────────────────────────────────────────────────────────────
interface ABTest {
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9_]{0,47}$ @max 48
description?: string; // @max 200
gatewayRef: string; // Reference to the gateway (ARN or {{gateway:name}} placeholder)
roleArn?: string;
variants: [ABTestVariant, ABTestVariant]; // Exactly 2 — one 'C' (control) and one 'T1' (treatment). Weights must sum to 100.
evaluationConfig: {
onlineEvaluationConfigArn: string;
};
trafficAllocationConfig?: {
routeOnHeader: { headerName: string };
};
maxDurationDays?: number; // @min 1 @max 90
enableOnCreate?: boolean;
}
interface ABTestVariant {
name: ABTestVariantName;
weight: number; // @min 1 @max 100
variantConfiguration: {
configurationBundle: {
bundleArn: string;
bundleVersion: string;
};
};
}
// ─────────────────────────────────────────────────────────────────────────────
// HTTP GATEWAY
// ─────────────────────────────────────────────────────────────────────────────
/** @internal HTTP gateway auto-created when setting up an AB test. */
interface HttpGateway {
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9-]{0,47}$ @max 48
description?: string; // @max 200
runtimeRef: string; // Reference to a runtime name from spec.runtimes
roleArn?: string; // IAM role ARN — auto-created if omitted
}

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/* eslint-disable @typescript-eslint/no-unused-vars */
/**
* READ-ONLY LLM CONTEXT - Do not edit this file.
*
* JSON File: agentcore/aws-targets.json
* Purpose: AWS deployment targets for AgentCore resources
*/
// ─────────────────────────────────────────────────────────────────────────────
// ROOT SCHEMA: AwsDeploymentTargets (array)
// ─────────────────────────────────────────────────────────────────────────────
// The JSON file contains an array of deployment targets.
// Target names must be unique within the array.
type AwsDeploymentTargets = AwsDeploymentTarget[];
interface AwsDeploymentTarget {
name: string; // @regex ^[a-zA-Z][a-zA-Z0-9_-]*$ @max 64 - unique identifier
description?: string; // @max 256
account: string; // @regex ^[0-9]{12}$ - AWS account ID (exactly 12 digits)
region: AgentCoreRegion;
}
// ─────────────────────────────────────────────────────────────────────────────
// SUPPORTED REGIONS
// https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/agentcore-regions.html
// ─────────────────────────────────────────────────────────────────────────────
type AgentCoreRegion =
| 'ap-northeast-1'
| 'ap-northeast-2'
| 'ap-south-1'
| 'ap-southeast-1'
| 'ap-southeast-2'
| 'ca-central-1'
| 'eu-central-1'
| 'eu-north-1'
| 'eu-west-1'
| 'eu-west-2'
| 'eu-west-3'
| 'sa-east-1'
| 'us-east-1'
| 'us-east-2'
| 'us-west-2'
| 'us-gov-west-1';

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{
"$schema": "https://schema.agentcore.aws.dev/v1/agentcore.json",
"name": "agentclaw",
"version": 1,
"managedBy": "CDK",
"tags": {
"agentcore:created-by": "agentcore-cli",
"agentcore:project-name": "agentclaw"
},
"runtimes": [
{
"name": "agent_claw_main",
"build": "CodeZip",
"entrypoint": "main.py",
"codeLocation": "app/agent_claw_main/",
"runtimeVersion": "PYTHON_3_14",
"networkMode": "PUBLIC",
"protocol": "HTTP"
}
],
"memories": [
{
"name": "AgentClawMemory",
"eventExpiryDuration": 30,
"strategies": [
{
"type": "SEMANTIC",
"namespaces": [
"/users/{actorId}/facts"
]
},
{
"type": "SUMMARIZATION",
"namespaces": [
"/summaries/{actorId}/{sessionId}"
]
},
{
"type": "USER_PREFERENCE",
"namespaces": [
"/users/{actorId}/preferences"
]
}
]
}
],
"credentials": [],
"evaluators": [],
"onlineEvalConfigs": [],
"agentCoreGateways": [],
"policyEngines": [],
"configBundles": [],
"abTests": [],
"httpGateways": []
}

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[
{
"name": "default",
"account": "495395224548",
"region": "us-east-1"
}
]

9
agentclaw/agentcore/cdk/.gitignore vendored Normal file
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# Build output
dist/
# Dependencies
node_modules/
# CDK asset staging directory
.cdk.staging
cdk.out

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*.ts
!*.d.ts
# CDK asset staging directory
.cdk.staging
cdk.out

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@@ -0,0 +1,8 @@
{
"trailingComma": "es5",
"printWidth": 120,
"tabWidth": 2,
"semi": true,
"singleQuote": true,
"arrowParens": "avoid"
}

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# AgentCore CDK Project
This CDK project is managed by the AgentCore CLI. It deploys your agent infrastructure into AWS using the `@aws/agentcore-cdk` L3 constructs.
## Structure
- `bin/cdk.ts` — Entry point. Reads project configuration from `agentcore/` and creates a stack per deployment target.
- `lib/cdk-stack.ts` — Defines `AgentCoreStack`, which wraps the `AgentCoreApplication` L3 construct.
- `test/cdk.test.ts` — Unit tests for stack synthesis.
## Useful commands
- `npm run build` compile TypeScript to JavaScript
- `npm run test` run unit tests
- `npx cdk synth` emit the synthesized CloudFormation template
- `npx cdk deploy` deploy this stack to your default AWS account/region
- `npx cdk diff` compare deployed stack with current state
## Usage
You typically don't need to interact with this directory directly. The AgentCore CLI handles synthesis and deployment:
```bash
agentcore deploy # synthesizes and deploys via CDK
agentcore status # checks deployment status
```

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@@ -0,0 +1,91 @@
#!/usr/bin/env node
import { AgentCoreStack } from '../lib/cdk-stack';
import { ConfigIO, type AwsDeploymentTarget } from '@aws/agentcore-cdk';
import { App, type Environment } from 'aws-cdk-lib';
import * as path from 'path';
import * as fs from 'fs';
function toEnvironment(target: AwsDeploymentTarget): Environment {
return {
account: target.account,
region: target.region,
};
}
function sanitize(name: string): string {
return name.replace(/_/g, '-');
}
function toStackName(projectName: string, targetName: string): string {
return `AgentCore-${sanitize(projectName)}-${sanitize(targetName)}`;
}
async function main() {
// Config root is parent of cdk/ directory. The CLI sets process.cwd() to agentcore/cdk/.
const configRoot = path.resolve(process.cwd(), '..');
const configIO = new ConfigIO({ baseDir: configRoot });
const spec = await configIO.readProjectSpec();
const targets = await configIO.readAWSDeploymentTargets();
// Extract MCP configuration from project spec.
// Gateway fields are stored in agentcore.json but may not yet be on the
// AgentCoreProjectSpec type from @aws/agentcore-cdk, so we read them
// dynamically and cast the resulting object.
// eslint-disable-next-line @typescript-eslint/no-explicit-any
const specAny = spec as any;
const mcpSpec = specAny.agentCoreGateways?.length
? {
agentCoreGateways: specAny.agentCoreGateways,
mcpRuntimeTools: specAny.mcpRuntimeTools,
unassignedTargets: specAny.unassignedTargets,
}
: undefined;
// Read deployed state for credential ARNs (populated by pre-deploy identity setup)
let deployedState: Record<string, unknown> | undefined;
try {
deployedState = JSON.parse(fs.readFileSync(path.join(configRoot, '.cli', 'deployed-state.json'), 'utf8'));
} catch {
// Deployed state may not exist on first deploy
}
if (targets.length === 0) {
throw new Error('No deployment targets configured. Please define targets in agentcore/aws-targets.json');
}
const app = new App();
for (const target of targets) {
const env = toEnvironment(target);
const stackName = toStackName(spec.name, target.name);
// Extract credentials from deployed state for this target
const targetState = (deployedState as Record<string, unknown>)?.targets as
| Record<string, Record<string, unknown>>
| undefined;
const targetResources = targetState?.[target.name]?.resources as Record<string, unknown> | undefined;
const credentials = targetResources?.credentials as
| Record<string, { credentialProviderArn: string; clientSecretArn?: string }>
| undefined;
new AgentCoreStack(app, stackName, {
spec,
mcpSpec,
credentials,
env,
description: `AgentCore stack for ${spec.name} deployed to ${target.name} (${target.region})`,
tags: {
'agentcore:project-name': spec.name,
'agentcore:target-name': target.name,
},
});
}
app.synth();
}
main().catch((error: unknown) => {
console.error('AgentCore CDK synthesis failed:', error instanceof Error ? error.message : error);
process.exitCode = 1;
});

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{
"app": "node dist/bin/cdk.js",
"watch": {
"include": ["**"],
"exclude": ["README.md", "cdk*.json", "tsconfig.json", "package*.json", "yarn.lock", "node_modules", "dist", "test"]
},
"context": {
"@aws-cdk/aws-signer:signingProfileNamePassedToCfn": true,
"@aws-cdk/aws-ecs-patterns:secGroupsDisablesImplicitOpenListener": true,
"@aws-cdk/aws-lambda:recognizeLayerVersion": true,
"@aws-cdk/core:checkSecretUsage": true,
"@aws-cdk/core:target-partitions": ["aws", "aws-cn", "aws-us-gov"],
"@aws-cdk-containers/ecs-service-extensions:enableDefaultLogDriver": true,
"@aws-cdk/aws-ec2:uniqueImdsv2TemplateName": true,
"@aws-cdk/aws-ecs:arnFormatIncludesClusterName": true,
"@aws-cdk/aws-iam:minimizePolicies": true,
"@aws-cdk/core:validateSnapshotRemovalPolicy": true,
"@aws-cdk/aws-codepipeline:crossAccountKeyAliasStackSafeResourceName": true,
"@aws-cdk/aws-s3:createDefaultLoggingPolicy": true,
"@aws-cdk/aws-sns-subscriptions:restrictSqsDescryption": true,
"@aws-cdk/aws-apigateway:disableCloudWatchRole": true,
"@aws-cdk/core:enablePartitionLiterals": true,
"@aws-cdk/aws-events:eventsTargetQueueSameAccount": true,
"@aws-cdk/aws-ecs:disableExplicitDeploymentControllerForCircuitBreaker": true,
"@aws-cdk/aws-iam:importedRoleStackSafeDefaultPolicyName": true,
"@aws-cdk/aws-s3:serverAccessLogsUseBucketPolicy": true,
"@aws-cdk/aws-route53-patters:useCertificate": true,
"@aws-cdk/customresources:installLatestAwsSdkDefault": false,
"@aws-cdk/aws-rds:databaseProxyUniqueResourceName": true,
"@aws-cdk/aws-codedeploy:removeAlarmsFromDeploymentGroup": true,
"@aws-cdk/aws-apigateway:authorizerChangeDeploymentLogicalId": true,
"@aws-cdk/aws-ec2:launchTemplateDefaultUserData": true,
"@aws-cdk/aws-secretsmanager:useAttachedSecretResourcePolicyForSecretTargetAttachments": true,
"@aws-cdk/aws-redshift:columnId": true,
"@aws-cdk/aws-stepfunctions-tasks:enableEmrServicePolicyV2": true,
"@aws-cdk/aws-ec2:restrictDefaultSecurityGroup": true,
"@aws-cdk/aws-apigateway:requestValidatorUniqueId": true,
"@aws-cdk/aws-kms:aliasNameRef": true,
"@aws-cdk/aws-kms:applyImportedAliasPermissionsToPrincipal": true,
"@aws-cdk/aws-autoscaling:generateLaunchTemplateInsteadOfLaunchConfig": true,
"@aws-cdk/core:includePrefixInUniqueNameGeneration": true,
"@aws-cdk/aws-efs:denyAnonymousAccess": true,
"@aws-cdk/aws-opensearchservice:enableOpensearchMultiAzWithStandby": true,
"@aws-cdk/aws-lambda-nodejs:useLatestRuntimeVersion": true,
"@aws-cdk/aws-efs:mountTargetOrderInsensitiveLogicalId": true,
"@aws-cdk/aws-rds:auroraClusterChangeScopeOfInstanceParameterGroupWithEachParameters": true,
"@aws-cdk/aws-appsync:useArnForSourceApiAssociationIdentifier": true,
"@aws-cdk/aws-rds:preventRenderingDeprecatedCredentials": true,
"@aws-cdk/aws-codepipeline-actions:useNewDefaultBranchForCodeCommitSource": true,
"@aws-cdk/aws-cloudwatch-actions:changeLambdaPermissionLogicalIdForLambdaAction": true,
"@aws-cdk/aws-codepipeline:crossAccountKeysDefaultValueToFalse": true,
"@aws-cdk/aws-codepipeline:defaultPipelineTypeToV2": true,
"@aws-cdk/aws-kms:reduceCrossAccountRegionPolicyScope": true,
"@aws-cdk/aws-eks:nodegroupNameAttribute": true,
"@aws-cdk/aws-ec2:ebsDefaultGp3Volume": true,
"@aws-cdk/aws-ecs:removeDefaultDeploymentAlarm": true,
"@aws-cdk/custom-resources:logApiResponseDataPropertyTrueDefault": false,
"@aws-cdk/aws-s3:keepNotificationInImportedBucket": false,
"@aws-cdk/core:explicitStackTags": true,
"@aws-cdk/aws-ecs:enableImdsBlockingDeprecatedFeature": false,
"@aws-cdk/aws-ecs:disableEcsImdsBlocking": true,
"@aws-cdk/aws-ecs:reduceEc2FargateCloudWatchPermissions": true,
"@aws-cdk/aws-dynamodb:resourcePolicyPerReplica": true,
"@aws-cdk/aws-ec2:ec2SumTImeoutEnabled": true,
"@aws-cdk/aws-appsync:appSyncGraphQLAPIScopeLambdaPermission": true,
"@aws-cdk/aws-rds:setCorrectValueForDatabaseInstanceReadReplicaInstanceResourceId": true,
"@aws-cdk/core:cfnIncludeRejectComplexResourceUpdateCreatePolicyIntrinsics": true,
"@aws-cdk/aws-lambda-nodejs:sdkV3ExcludeSmithyPackages": true,
"@aws-cdk/aws-stepfunctions-tasks:fixRunEcsTaskPolicy": true,
"@aws-cdk/aws-ec2:bastionHostUseAmazonLinux2023ByDefault": true,
"@aws-cdk/aws-route53-targets:userPoolDomainNameMethodWithoutCustomResource": true,
"@aws-cdk/aws-elasticloadbalancingV2:albDualstackWithoutPublicIpv4SecurityGroupRulesDefault": true,
"@aws-cdk/aws-iam:oidcRejectUnauthorizedConnections": true,
"@aws-cdk/core:enableAdditionalMetadataCollection": true,
"@aws-cdk/aws-lambda:createNewPoliciesWithAddToRolePolicy": false,
"@aws-cdk/aws-s3:setUniqueReplicationRoleName": true,
"@aws-cdk/aws-events:requireEventBusPolicySid": true,
"@aws-cdk/core:aspectPrioritiesMutating": true,
"@aws-cdk/aws-dynamodb:retainTableReplica": true,
"@aws-cdk/aws-stepfunctions:useDistributedMapResultWriterV2": true,
"@aws-cdk/s3-notifications:addS3TrustKeyPolicyForSnsSubscriptions": true,
"@aws-cdk/aws-ec2:requirePrivateSubnetsForEgressOnlyInternetGateway": true,
"@aws-cdk/aws-s3:publicAccessBlockedByDefault": true,
"@aws-cdk/aws-lambda:useCdkManagedLogGroup": true,
"@aws-cdk/aws-elasticloadbalancingv2:networkLoadBalancerWithSecurityGroupByDefault": true,
"@aws-cdk/aws-ecs-patterns:uniqueTargetGroupId": true
}
}

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module.exports = {
testEnvironment: 'node',
roots: ['<rootDir>/test'],
testMatch: ['**/*.test.ts'],
transform: {
'^.+\\.tsx?$': 'ts-jest',
},
setupFilesAfterEnv: ['aws-cdk-lib/testhelpers/jest-autoclean'],
};

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import {
AgentCoreApplication,
AgentCoreMcp,
type AgentCoreProjectSpec,
type AgentCoreMcpSpec,
} from '@aws/agentcore-cdk';
import { CfnOutput, Stack, type StackProps } from 'aws-cdk-lib';
import { Construct } from 'constructs';
export interface AgentCoreStackProps extends StackProps {
/**
* The AgentCore project specification containing agents, memories, and credentials.
*/
spec: AgentCoreProjectSpec;
/**
* The MCP specification containing gateways and servers.
*/
mcpSpec?: AgentCoreMcpSpec;
/**
* Credential provider ARNs from deployed state, keyed by credential name.
*/
credentials?: Record<string, { credentialProviderArn: string; clientSecretArn?: string }>;
}
/**
* CDK Stack that deploys AgentCore infrastructure.
*
* This is a thin wrapper that instantiates L3 constructs.
* All resource logic and outputs are contained within the L3 constructs.
*/
export class AgentCoreStack extends Stack {
/** The AgentCore application containing all agent environments */
public readonly application: AgentCoreApplication;
constructor(scope: Construct, id: string, props: AgentCoreStackProps) {
super(scope, id, props);
const { spec, mcpSpec, credentials } = props;
// Create AgentCoreApplication with all agents
this.application = new AgentCoreApplication(this, 'Application', {
spec,
});
// Create AgentCoreMcp if there are gateways configured
if (mcpSpec?.agentCoreGateways && mcpSpec.agentCoreGateways.length > 0) {
new AgentCoreMcp(this, 'Mcp', {
projectName: spec.name,
mcpSpec,
agentCoreApplication: this.application,
credentials,
projectTags: spec.tags,
});
}
// Stack-level output
new CfnOutput(this, 'StackNameOutput', {
description: 'Name of the CloudFormation Stack',
value: this.stackName,
});
}
}

5772
agentclaw/agentcore/cdk/package-lock.json generated Normal file

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{
"name": "agentcore-cdk-app",
"version": "0.1.0",
"bin": {
"cdk": "dist/bin/cdk.js"
},
"scripts": {
"build": "tsc",
"watch": "tsc -w",
"test": "jest",
"cdk": "npm run build && cdk",
"clean": "rm -rf dist",
"format": "prettier --write .",
"format:check": "prettier --check ."
},
"devDependencies": {
"@types/jest": "^29.5.14",
"@types/node": "^24.10.1",
"jest": "^29.7.0",
"ts-jest": "^29.2.5",
"aws-cdk": "2.1100.1",
"prettier": "^3.4.2",
"typescript": "~5.9.3"
},
"dependencies": {
"@aws/agentcore-cdk": "^0.1.0-alpha.19",
"aws-cdk-lib": "^2.248.0",
"constructs": "^10.0.0"
}
}

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import * as cdk from 'aws-cdk-lib';
import { Template } from 'aws-cdk-lib/assertions';
import { AgentCoreStack } from '../lib/cdk-stack';
test('AgentCoreStack synthesizes with empty spec', () => {
const app = new cdk.App();
const stack = new AgentCoreStack(app, 'TestStack', {
spec: {
name: 'testproject',
version: 1,
managedBy: 'CDK' as const,
runtimes: [],
memories: [],
credentials: [],
evaluators: [],
onlineEvalConfigs: [],
configBundles: [],
policyEngines: [],
agentCoreGateways: [],
mcpRuntimeTools: [],
unassignedTargets: [],
},
});
const template = Template.fromStack(stack);
template.hasOutput('StackNameOutput', {
Description: 'Name of the CloudFormation Stack',
});
});

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{
"compilerOptions": {
"target": "ES2022",
"module": "CommonJS",
"moduleResolution": "Node",
"lib": ["es2022"],
"declaration": true,
"strict": true,
"noImplicitAny": true,
"strictNullChecks": true,
"noImplicitThis": true,
"alwaysStrict": true,
"noUnusedLocals": true,
"noUnusedParameters": true,
"noImplicitReturns": true,
"noFallthroughCasesInSwitch": true,
"inlineSourceMap": true,
"inlineSources": true,
"experimentalDecorators": true,
"strictPropertyInitialization": true,
"skipLibCheck": true,
"typeRoots": ["./node_modules/@types"],
"rootDir": ".",
"outDir": "dist"
},
"include": ["bin/**/*", "lib/**/*", "test/**/*"],
"exclude": ["node_modules", "cdk.out", "dist"]
}

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# Environment variables
.env
# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
*.egg-info/
.installed.cfg
*.egg
# Virtual environments
.venv/
venv/
ENV/
env/
# IDE
.vscode/
.idea/
*.swp
*.swo
*~
# OS
.DS_Store
Thumbs.db

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This is a project generated by the AgentCore CLI!
# Layout
The generated application code lives at the agent root directory. At the root, there is a `.gitignore` file, an
`agentcore/` folder which represents the configurations and state associated with this project. Other `agentcore`
commands like `deploy`, `dev`, and `invoke` rely on the configuration stored here.
## Agent Root
The main entrypoint to your app is defined in `main.py`. Using the AgentCore SDK `@app.entrypoint` decorator, this
file defines a Starlette ASGI app with the chosen Agent framework SDK running within.
`model/load.py` instantiates your chosen model provider.
## Environment Variables
| Variable | Required | Description |
| --- | --- | --- |
| `LOCAL_DEV` | No | Set to `1` to use `.env.local` instead of AgentCore Identity |
# Developing locally
If installation was successful, a virtual environment is already created with dependencies installed.
Run `source .venv/bin/activate` before developing.
`agentcore dev` will start a local server on 0.0.0.0:8080.
In a new terminal, you can invoke that server with:
`agentcore invoke --dev "What can you do"`
# Deployment
After providing credentials, `agentcore deploy` will deploy your project into Amazon Bedrock AgentCore.
Use `agentcore invoke` to invoke your deployed agent.

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from .adapter import ChannelAdapter
from .telegram import TelegramAdapter
__all__ = ['ChannelAdapter', 'TelegramAdapter']

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from typing import Protocol, runtime_checkable
@runtime_checkable
class ChannelAdapter(Protocol):
"""Protocol for channel-specific message delivery."""
def send(self, text: str) -> str:
"""Send a message. Returns message_id if available."""
...
def send_typing(self) -> None:
"""Send a typing indicator (best-effort)."""
...
def edit(self, message_id: str, text: str) -> None:
"""Edit an existing message in-place."""
...

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import os
import threading
import urllib.request
import json
import boto3
class TelegramAdapter:
"""Channel adapter for Telegram Bot API."""
def __init__(self, chat_id: str, bot_token_secret_arn: str = ''):
self.chat_id = str(chat_id)
self._secret_arn = bot_token_secret_arn
self._token: str | None = None
self._lock = threading.Lock()
def _get_token(self) -> str:
if self._token is None:
with self._lock:
if self._token is None:
secret_arn = self._secret_arn or os.environ.get(
'TELEGRAM_BOT_TOKEN_SECRET_ARN',
'arn:aws:secretsmanager:us-east-1:495395224548:secret:agent-claw/telegram-bot-token-Oq3in3'
)
sm = boto3.client('secretsmanager')
self._token = sm.get_secret_value(
SecretId=secret_arn
)['SecretString']
return self._token
def _api(self, method: str, data: dict) -> dict:
token = self._get_token()
body = json.dumps(data).encode()
req = urllib.request.Request(
f'https://api.telegram.org/bot{token}/{method}',
data=body,
headers={'Content-Type': 'application/json'},
)
with urllib.request.urlopen(req, timeout=30) as resp:
return json.loads(resp.read())
def send(self, text: str) -> str:
"""Send message, return message_id."""
resp = self._api('sendMessage', {
'chat_id': self.chat_id,
'text': text,
'parse_mode': 'Markdown',
})
return str(resp.get('result', {}).get('message_id', ''))
def send_typing(self) -> None:
"""Send typing action (best-effort)."""
try:
self._api('sendChatAction', {
'chat_id': self.chat_id,
'action': 'typing',
})
except Exception:
pass
def edit(self, message_id: str, text: str) -> None:
"""Edit an existing message in-place."""
try:
self._api('editMessageText', {
'chat_id': self.chat_id,
'message_id': int(message_id),
'text': text,
'parse_mode': 'Markdown',
})
except Exception:
pass

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"""
agent-claw Runtime 1 — main assistant agent.
Entrypoint for AgentCore CodeZip deployment.
"""
import os
from strands import Agent, tool
from strands.models import BedrockModel
from bedrock_agentcore.runtime import BedrockAgentCoreApp
from channels.telegram import TelegramAdapter
from prompt_builder import build_system_prompt, invalidate_prompt
from tools import web as web_tools
from tools import workspace as ws_tools
from tools import messaging
from tools.home_assistant import home_assistant
from mcp.client.streamable_http import streamablehttp_client
from strands.tools.mcp.mcp_client import MCPClient
import httpx
import botocore.auth
import botocore.awsrequest
import boto3
from urllib.parse import urlparse as _urlparse
WORKSPACE_MCP_URL = 'https://25hugrzw4uwtueeg77jsmft6lq0wunmd.lambda-url.us-east-1.on.aws/mcp'
class _SigV4HttpxAuth(httpx.Auth):
"""SigV4 auth for Lambda Function URL with AWS_IAM."""
def __init__(self, region: str = 'us-east-1'):
self._region = region
def auth_flow(self, request):
creds = boto3.Session().get_credentials().get_frozen_credentials()
parsed = _urlparse(str(request.url))
aws_req = botocore.awsrequest.AWSRequest(
method=request.method,
url=str(request.url),
data=request.content or b'',
headers={
'Host': parsed.hostname,
'Content-Type': request.headers.get('content-type', 'application/json'),
'Accept': request.headers.get('accept', 'application/json, text/event-stream'),
}
)
botocore.auth.SigV4Auth(creds, 'lambda', self._region).add_auth(aws_req)
for k, v in aws_req.headers.items():
request.headers[k] = v
yield request
from bedrock_agentcore.memory.integrations.strands.config import AgentCoreMemoryConfig
from bedrock_agentcore.memory.integrations.strands.session_manager import AgentCoreMemorySessionManager
from strands_tools.code_interpreter import AgentCoreCodeInterpreter as _CodeInterpreterClient
# Initialise once per warm session
_code_interpreter = _CodeInterpreterClient(region='us-east-1')
app = BedrockAgentCoreApp()
# ── Tool definitions ──────────────────────────────────────────────────────
@tool
def send_message(text: str) -> str:
"""Send a message to the user through their channel (Telegram, Slack, etc.)"""
return messaging.send(text)
@tool
def web_search(query: str) -> str:
"""Search the web using Brave Search. Returns titles, URLs, and snippets."""
return web_tools.brave_search(query)
@tool
def web_fetch(url: str) -> str:
"""Fetch and extract readable text content from a URL."""
return web_tools.web_fetch(url)
@tool
def read_workspace_file(path: str) -> str:
"""Read a file from the agent workspace (SOUL.md, HEARTBEAT.md, etc.)"""
return ws_tools.read_file(path)
@tool
def write_workspace_file(path: str, content: str) -> str:
"""Write or update a file in the agent workspace."""
result = ws_tools.write_file(path, content)
invalidate_prompt() # force system prompt rebuild if persona files changed
return result
# ── Entrypoint ────────────────────────────────────────────────────────────
@app.entrypoint
def main(payload: dict, context) -> dict:
"""Handle an invocation from agent-runner Lambda."""
# Set up channel adapter
adapter_config = payload.get('channel_adapter', {})
channel_type = adapter_config.get('type', 'telegram')
if channel_type == 'telegram':
adapter = TelegramAdapter(
chat_id=adapter_config.get('target_id', ''),
bot_token_secret_arn=adapter_config.get('bot_token_secret_arn', ''),
)
else:
# Future channels: instantiate appropriate adapter
raise ValueError(f"Unsupported channel type: {channel_type}")
messaging.set_adapter(adapter)
# Start typing indicator immediately, keep it alive in background
import threading
_typing_active = True
def _keep_typing():
adapter.send_typing()
import time
while _typing_active:
time.sleep(4)
if _typing_active:
adapter.send_typing()
typing_thread = threading.Thread(target=_keep_typing, daemon=True)
typing_thread.start()
# Set up AgentCore Memory session manager (short + long term via session_manager)
MEMORY_ID = 'agentclaw_AgentClawMemory-i7Csf776AH'
actor_id = payload.get('actor_id', adapter_config.get('target_id', 'default'))
session_id = payload.get('session_id', f'session-{actor_id}')
memory_config = AgentCoreMemoryConfig(
memory_id=MEMORY_ID,
session_id=session_id,
actor_id=actor_id,
)
session_manager = AgentCoreMemorySessionManager(
agentcore_memory_config=memory_config,
region_name='us-east-1',
)
# Build system prompt (cached across warm invocations)
system_prompt = build_system_prompt()
# Model: claude-sonnet-4-6 via cross-region inference
model = BedrockModel(
model_id="us.anthropic.claude-sonnet-4-6",
region_name="us-east-1",
)
base_tools = [send_message, web_search, web_fetch, read_workspace_file, write_workspace_file,
_code_interpreter.code_interpreter, home_assistant]
def _run_agent(tools):
agent = Agent(
model=model,
system_prompt=system_prompt,
session_manager=session_manager,
tools=tools,
)
return agent(payload.get('prompt', ''))
workspace_mcp_client = MCPClient(
lambda: streamablehttp_client(WORKSPACE_MCP_URL, timeout=20, auth=_SigV4HttpxAuth())
)
workspace_tools = []
try:
with workspace_mcp_client:
workspace_tools = workspace_mcp_client.list_tools_sync()
except Exception as e:
print(f'[main] workspace_mcp unavailable ({type(e).__name__}) — continuing without it')
try:
result = _run_agent(base_tools + list(workspace_tools))
finally:
_typing_active = False
# Flush buffered memory events
session_manager.close()
# Deliver final response — only send if agent didn't already call send_message tool.
# If the tool was used, the response is already delivered. The fallback handles
# cases where the agent responds directly without calling the tool.
if not messaging.was_sent() and result.message:
# Extract plain text from Strands result (avoid sending raw dict/JSON)
msg = result.message
if isinstance(msg, dict):
content = msg.get('content', {})
if isinstance(content, dict):
msg = content.get('text', str(content))
elif isinstance(content, list):
msg = ' '.join(c.get('text', '') for c in content if isinstance(c, dict))
else:
msg = str(content)
adapter.send(str(msg))
return {'result': result.message}
app.run()

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# Package marker

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import os
import logging
from mcp.client.streamable_http import streamablehttp_client
from strands.tools.mcp.mcp_client import MCPClient
logger = logging.getLogger(__name__)
# ExaAI provides information about code through web searches, crawling and code context searches through their platform. Requires no authentication
EXAMPLE_MCP_ENDPOINT = "https://mcp.exa.ai/mcp"
def get_streamable_http_mcp_client() -> MCPClient:
"""Returns an MCP Client compatible with Strands"""
# to use an MCP server that supports bearer authentication, add headers={"Authorization": f"Bearer {access_token}"}
return MCPClient(lambda: streamablehttp_client(EXAMPLE_MCP_ENDPOINT))

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# Package marker

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from strands.models.bedrock import BedrockModel
def load_model() -> BedrockModel:
"""Get Bedrock model client using IAM credentials."""
return BedrockModel(model_id="global.anthropic.claude-sonnet-4-5-20250929-v1:0")

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import os
import boto3
# Cache: built once per warm session
_system_prompt: str | None = None
def build_system_prompt() -> str:
"""Build system prompt from S3 workspace files (cached for warm session)."""
global _system_prompt
if _system_prompt is not None:
return _system_prompt
bucket = os.environ.get('WORKSPACE_BUCKET_NAME', '') or 'agent-claw-workspace-495395224548'
print(f'[prompt_builder] Loading from bucket: {bucket!r}')
if not bucket:
print('[prompt_builder] WARNING: WORKSPACE_BUCKET_NAME not set!')
_system_prompt = 'You are a helpful personal assistant.'
return _system_prompt
s3 = boto3.client('s3')
parts = []
for fname in ['SOUL.md', 'AGENTS.md', 'IDENTITY.md', 'USER.md', 'MEMORY.md', 'TOOLS.md']:
try:
obj = s3.get_object(Bucket=bucket, Key=fname)
content = obj['Body'].read().decode('utf-8')
parts.append(f'## {fname}\n{content}')
print(f'[prompt_builder] Loaded {fname} ({len(content)} bytes)')
except Exception as e:
print(f'[prompt_builder] Failed to load {fname}: {e}')
parts.append('## Runtime\nRuntime: agent-claw | host=AgentCore | model=bedrock-claude-sonnet | channel=telegram\nCurrent date/time is provided by the system. Timezone: America/Chicago.')
_system_prompt = '\n\n---\n\n'.join(parts)
print(f'[prompt_builder] System prompt built: {len(_system_prompt)} chars')
return _system_prompt
def invalidate_prompt() -> None:
"""Force rebuild of system prompt on next invocation (call after workspace write)."""
global _system_prompt
_system_prompt = None

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[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "agent_claw_main"
version = "0.1.0"
description = "AgentCore Runtime Application using Strands SDK"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"aws-opentelemetry-distro",
"bedrock-agentcore >= 1.0.3",
"botocore[crt] >= 1.35.0",
"strands-agents-tools >= 0.5.0",
"strands-agents >= 1.13.0",
]
[tool.hatch.build.targets.wheel]
packages = ["."]

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from .web import brave_search, web_fetch
from .workspace import read_file, write_file
from .messaging import send, set_adapter
__all__ = ['brave_search', 'web_fetch', 'read_file', 'write_file', 'send', 'set_adapter']

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"""Code interpreter tool — runs Python code in AgentCore managed sandbox."""
import os
import base64
from strands import tool
def _parse_stream(result: dict) -> str:
"""Parse the streaming response from invoke_code_interpreter."""
parts = []
if "stream" not in result:
return str(result)
for event in result["stream"]:
if "result" not in event:
continue
for item in event["result"].get("content", []):
item_type = item.get("type", "")
if item_type == "text":
text = item.get("text", "")
if text:
parts.append(text)
elif item_type == "resource":
resource = item.get("resource", {})
if "text" in resource:
parts.append(resource["text"])
elif "blob" in resource:
try:
parts.append(base64.b64decode(resource["blob"]).decode("utf-8"))
except Exception:
parts.append(f"<binary resource: {resource.get('uri', '?')}>")
elif item_type == "image":
# Base64-encoded image
image_data = item.get("source", {}).get("data", "")
mime = item.get("source", {}).get("mediaType", "image/png")
parts.append(f"<image: {mime}, {len(image_data)} bytes base64>")
return "\n".join(parts) if parts else "(no output)"
@tool
def run_code(code: str, packages: list[str] | None = None) -> str:
"""Execute Python code in a secure managed sandbox and return the output.
Optionally install pip packages before running (e.g. ['pandas', 'numpy']).
Args:
code: Python code to execute.
packages: Optional list of pip packages to install first.
Returns:
Execution output (stdout, results, errors).
"""
try:
from bedrock_agentcore.tools import CodeInterpreter, code_session
region = os.environ.get('AWS_REGION', 'us-east-1')
with code_session(region) as client:
if packages:
install_raw = client.install_packages(packages)
install_out = _parse_stream(install_raw) if isinstance(install_raw, dict) else str(install_raw)
print(f'[code_interpreter] install: {install_out[:200]}')
raw = client.execute_code(code)
return _parse_stream(raw)
except Exception as e:
import traceback
return f'Code interpreter error: {type(e).__name__}: {e}\n{traceback.format_exc()[-500:]}'

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"""Home Assistant tool — control and query HA entities via REST API."""
import json
import os
import urllib.request
import urllib.error
from strands import tool
HA_URL = "https://homeassistant.home.everyonce.com"
# Token stored in workspace or env; fallback to hardcoded for AgentCore runtime
HA_TOKEN = os.environ.get(
"HA_TOKEN",
"eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJlMDExN2YwNzhlM2Q0NjViODJhNjJiZWFiMzI1ZWU4MiIsImlhdCI6MTc3MTM1MjU0MiwiZXhwIjoyMDg2NzEyNTQyfQ.UySLD6JV4e_bdd1nQjdbZcimdCD6B3kBGDftcRz1H6Q"
)
def _ha_request(method: str, path: str, body: dict | None = None) -> dict | list:
url = f"{HA_URL}{path}"
headers = {
"Authorization": f"Bearer {HA_TOKEN}",
"Content-Type": "application/json",
}
data = json.dumps(body).encode() if body else None
req = urllib.request.Request(url, data=data, headers=headers, method=method)
try:
with urllib.request.urlopen(req, timeout=10) as resp:
return json.loads(resp.read().decode())
except urllib.error.HTTPError as e:
return {"error": f"HTTP {e.code}: {e.reason}", "body": e.read().decode()[:500]}
except Exception as e:
return {"error": str(e)}
@tool
def home_assistant(action: str, entity_id: str = "", domain: str = "", service: str = "",
service_data: dict | None = None) -> str:
"""Control and query your Home Assistant smart home.
Actions:
- "get_state": Get the current state of a specific entity (requires entity_id).
- "list_states": List all entity states (optionally filter by domain prefix like 'light', 'switch', 'climate', 'sensor').
- "call_service": Call a HA service (requires domain, service, and optional service_data with entity_id).
- "get_history": Not yet implemented.
Common service examples:
- Turn light on: domain="light", service="turn_on", service_data={"entity_id": "light.living_room"}
- Turn light off: domain="light", service="turn_off", service_data={"entity_id": "light.living_room"}
- Set brightness: domain="light", service="turn_on", service_data={"entity_id": "light.x", "brightness_pct": 50}
- Lock door: domain="lock", service="lock", service_data={"entity_id": "lock.front_door"}
- Set thermostat: domain="climate", service="set_temperature", service_data={"entity_id": "climate.x", "temperature": 72}
Args:
action: One of "get_state", "list_states", "call_service".
entity_id: Entity ID for get_state (e.g. "light.living_room").
domain: Service domain for call_service (e.g. "light", "switch", "lock", "climate").
service: Service name for call_service (e.g. "turn_on", "turn_off", "lock").
service_data: Dict of extra params for call_service (e.g. {"entity_id": "light.x", "brightness_pct": 80}).
Returns:
JSON string with the result.
"""
if action == "get_state":
if not entity_id:
return "entity_id is required for get_state"
result = _ha_request("GET", f"/api/states/{entity_id}")
if isinstance(result, dict) and "error" not in result:
return f"{entity_id}: {result.get('state')} (attrs: {json.dumps(result.get('attributes', {}))[:300]})"
return json.dumps(result)
elif action == "list_states":
result = _ha_request("GET", "/api/states")
if isinstance(result, list):
# Filter by domain prefix if entity_id used as filter
prefix = entity_id or domain
if prefix:
result = [s for s in result if s.get("entity_id", "").startswith(prefix)]
# Return concise summary
lines = [f"{s['entity_id']}: {s['state']}" for s in result[:50]]
return "\n".join(lines) + (f"\n... ({len(result)} total)" if len(result) > 50 else "")
return json.dumps(result)
elif action == "call_service":
if not domain or not service:
return "domain and service are required for call_service"
body = service_data or {}
if entity_id and "entity_id" not in body:
body["entity_id"] = entity_id
result = _ha_request("POST", f"/api/services/{domain}/{service}", body)
return f"Service {domain}.{service} called successfully" if isinstance(result, list) else json.dumps(result)
else:
return f"Unknown action: {action}. Use 'get_state', 'list_states', or 'call_service'."

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"""Messaging tool — channel-adapter-backed send_message for the agent."""
from typing import TYPE_CHECKING
if TYPE_CHECKING:
from channels.adapter import ChannelAdapter
# Injected by main.py before each invocation
_adapter: 'ChannelAdapter | None' = None
_message_sent: bool = False
def set_adapter(adapter: 'ChannelAdapter') -> None:
global _adapter, _message_sent
_adapter = adapter
_message_sent = False # reset on each new invocation
def was_sent() -> bool:
"""Returns True if send() was called during this invocation."""
return _message_sent
def send(text: str) -> str:
"""Send a message to the user via the active channel adapter."""
global _message_sent
if _adapter is None:
return 'No channel adapter configured.'
msg_id = _adapter.send(text)
_message_sent = True
return f"Sent (id={msg_id})" if msg_id else 'Sent'

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import os
import threading
import urllib.request
import urllib.parse
import json
import boto3
# Brave Search API
_brave_key: str | None = None
_brave_lock = threading.Lock()
def _get_brave_key() -> str:
global _brave_key
if _brave_key is None:
with _brave_lock:
if _brave_key is None:
secret_arn = os.environ.get(
'BRAVE_API_KEY_SECRET_ARN',
'arn:aws:secretsmanager:us-east-1:495395224548:secret:agent-claw/brave-api-key-uUSgzi'
)
sm = boto3.client('secretsmanager')
_brave_key = sm.get_secret_value(SecretId=secret_arn)['SecretString']
return _brave_key
def brave_search(query: str, count: int = 5) -> str:
"""Search the web using Brave Search API."""
api_key = _get_brave_key()
params = urllib.parse.urlencode({'q': query, 'count': count})
req = urllib.request.Request(
f'https://api.search.brave.com/res/v1/web/search?{params}',
headers={
'Accept': 'application/json',
'X-Subscription-Token': api_key,
},
)
with urllib.request.urlopen(req, timeout=10) as resp:
data = json.loads(resp.read())
results = data.get('web', {}).get('results', [])
if not results:
return 'No results found.'
parts = []
for r in results:
parts.append(f"**{r.get('title', '')}**\n{r.get('url', '')}\n{r.get('description', '')}")
return '\n\n'.join(parts)
def web_fetch(url: str) -> str:
"""Fetch and return text content from a URL."""
req = urllib.request.Request(
url,
headers={'User-Agent': 'Mozilla/5.0 (compatible; agent-claw/1.0)'},
)
with urllib.request.urlopen(req, timeout=15) as resp:
raw = resp.read(1024 * 1024) # cap at 1MB
# Basic text extraction (strip HTML tags)
import re
text = raw.decode('utf-8', errors='ignore')
text = re.sub(r'<script[^>]*>.*?</script>', '', text, flags=re.DOTALL | re.IGNORECASE)
text = re.sub(r'<style[^>]*>.*?</style>', '', text, flags=re.DOTALL | re.IGNORECASE)
text = re.sub(r'<[^>]+>', ' ', text)
text = re.sub(r'[ \t]+', ' ', text)
text = re.sub(r'\n{3,}', '\n\n', text)
return text[:8000].strip()

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import os
import boto3
# In-memory cache for workspace files (lives for the duration of the warm session)
_cache: dict[str, str] = {}
_s3 = None
def _get_s3():
global _s3
if _s3 is None:
_s3 = boto3.client('s3')
return _s3
def get_bucket() -> str:
return os.environ['WORKSPACE_BUCKET_NAME']
def read_file(path: str) -> str:
"""Read a workspace file from S3 (cached)."""
if path not in _cache:
resp = _get_s3().get_object(Bucket=get_bucket(), Key=path)
_cache[path] = resp['Body'].read().decode('utf-8')
return _cache[path]
def write_file(path: str, content: str) -> str:
"""Write a workspace file to S3 and update cache."""
_get_s3().put_object(
Bucket=get_bucket(),
Key=path,
Body=content.encode('utf-8'),
ContentType='text/markdown',
)
_cache[path] = content
return f"Written {len(content)} bytes to {path}"
def load_persona_files() -> dict[str, str]:
"""Load all persona files at session start (SOUL.md etc.)"""
files = {}
for fname in ['SOUL.md', 'AGENTS.md', 'IDENTITY.md', 'USER.md']:
try:
files[fname] = read_file(fname)
except Exception:
pass
return files

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