From 77768ed87676359823736a40b68ca988a7344543 Mon Sep 17 00:00:00 2001 From: Justin Schoeff Date: Fri, 4 Sep 2026 15:54:53 -0500 Subject: [PATCH] Introduce AgentCore strands-agent sample This sample includes a strands agent loop aimed to run on AWS AgentCore, invoked by Temporal serverless workers. This utilizes the AWS AgentCore CLI and related configuration for serverless workers. --- README.md | 1 + bedrock_agentcore/.gitignore | 7 + bedrock_agentcore/strands-agent/README.md | 193 + bedrock_agentcore/strands-agent/activities.py | 21 + .../strands-agent/agentcore/agentcore.json | 81 + .../strands-agent/agentcore/aws-targets.json | 8 + .../strands-agent/agentcore_worker.py | 141 + .../strands-agent/bin/create-runtime.sh | 46 + .../strands-agent/bin/mk-invoke-role.sh | 24 + .../code-interpreter-policy.json | 19 + ...am-role-for-temporal-agentcore-invoke.yaml | 99 + .../strands-agent/pyproject.toml | 54 + bedrock_agentcore/strands-agent/starter.py | 37 + bedrock_agentcore/strands-agent/uv.lock | 3137 +++++++++++++++++ bedrock_agentcore/strands-agent/workflows.py | 42 + pyproject.toml | 4 +- 16 files changed, 3912 insertions(+), 2 deletions(-) create mode 100644 bedrock_agentcore/.gitignore create mode 100644 bedrock_agentcore/strands-agent/README.md create mode 100644 bedrock_agentcore/strands-agent/activities.py create mode 100644 bedrock_agentcore/strands-agent/agentcore/agentcore.json create mode 100644 bedrock_agentcore/strands-agent/agentcore/aws-targets.json create mode 100644 bedrock_agentcore/strands-agent/agentcore_worker.py create mode 100755 bedrock_agentcore/strands-agent/bin/create-runtime.sh create mode 100755 bedrock_agentcore/strands-agent/bin/mk-invoke-role.sh create mode 100644 bedrock_agentcore/strands-agent/code-interpreter-policy.json create mode 100644 bedrock_agentcore/strands-agent/iam-role-for-temporal-agentcore-invoke.yaml create mode 100644 bedrock_agentcore/strands-agent/pyproject.toml create mode 100644 bedrock_agentcore/strands-agent/starter.py create mode 100644 bedrock_agentcore/strands-agent/uv.lock create mode 100644 bedrock_agentcore/strands-agent/workflows.py diff --git a/README.md b/README.md index 2954d242..99e5726e 100644 --- a/README.md +++ b/README.md @@ -62,6 +62,7 @@ Some examples require extra dependencies. See each sample's directory for specif * [activity_worker](activity_worker) - Use Python activities from a workflow in another language. * [batch_sliding_window](batch_sliding_window) - Batch processing with a sliding window of child workflows. * [bedrock](bedrock) - Orchestrate a chatbot with Amazon Bedrock. +* [bedrock_agentcore/strands-agent](bedrock_agentcore/strands-agent) - Run a AWS Strands Agent with Temporal Plugin on AgentCore Worker. * [cloud_export_to_parquet](cloud_export_to_parquet) - Set up schedule workflow to process exported files on an hourly basis * [context_propagation](context_propagation) - Context propagation through workflows/activities via interceptor. * [custom_converter](custom_converter) - Use a custom payload converter to handle custom types. diff --git a/bedrock_agentcore/.gitignore b/bedrock_agentcore/.gitignore new file mode 100644 index 00000000..a21dfc4b --- /dev/null +++ b/bedrock_agentcore/.gitignore @@ -0,0 +1,7 @@ +# Generated by `agentcore create` / `agentcore deploy` (see bin/create-runtime.sh) +# in each sample directory. +**/agentcore/cdk/ +**/agentcore/.cli/ +**/agentcore/.cache/ +**/agentcore/.env.local +**/agentcore/.llm-context/ diff --git a/bedrock_agentcore/strands-agent/README.md b/bedrock_agentcore/strands-agent/README.md new file mode 100644 index 00000000..ef7f52c3 --- /dev/null +++ b/bedrock_agentcore/strands-agent/README.md @@ -0,0 +1,193 @@ +# Strands Agent on Bedrock AgentCore + +This sample demonstrates how to run a [Strands Agents](https://strandsagents.com/) agent as a +Temporal Workflow, inside an [Amazon Bedrock AgentCore +Runtime](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/runtime.html). + +It combines three things: + +- The [Temporal Strands + plugin](https://docs.temporal.io/develop/python/integrations/strands-agents), + which runs the agent inside a Workflow and turns every model call into a + Temporal Activity -- so model invocations get durable retries, timeouts, and + crash recovery. +- The [AgentCore Code + Interpreter](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/code-interpreter-getting-started.html) + as the agent's tool, so it validates its answers by running Python in a managed + sandbox instead of doing arithmetic in its head. The Temporal plugin enables wrapping the tool with an activity. +- [Temporal Serverless Workers](https://docs.temporal.io/serverless-workers) to launch the AgentCore Runtime when +workflows kick off. + +## Prerequisites + +- A [Temporal Cloud](https://temporal.io/cloud) namespace (or a self-hosted + Temporal cluster reachable from AgentCore) +- Python 3.10+ and [uv](https://docs.astral.sh/uv/) +- Node.js 20+ -- the [AgentCore CLI](https://github.com/aws/agentcore-cli) is an + npm package: `npm install -g @aws/agentcore` +- AWS CLI configured, and the [AWS + CDK](https://docs.aws.amazon.com/cdk/v2/guide/getting_started.html) bootstrapped + in the target account/region (`cdk bootstrap`) +- AWS permissions for the AgentCore CLI (S3, IAM, CloudFormation): see [Use the + AgentCore + CLI](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/runtime-permissions.html#runtime-permissions-cli) +- Access to an [Amazon + Bedrock](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access-modify.html) + foundation model in your region -- the agent uses the plugin's default + `BedrockModel()` + + +Docker is not needed. With the CodeZip build there is no image: the CLI uploads a +zip of this directory and the platform runs it on a managed Python runtime, which +also takes care of AgentCore's ARM64 (Graviton) requirement. + +## Files + +| File | Description | +|------|-------------| +| `agentcore_worker.py` | Runtime entry point -- a `BedrockAgentCoreApp` that runs the Worker | +| `workflows.py` | `StrandsAgentWorkflow` -- a `TemporalAgent` with the code interpreter tool | +| `activities.py` | `execute_code` -- the AgentCore Code Interpreter, wrapped as a Temporal Activity | +| `starter.py` | Helper program to start a Workflow execution from a local machine | +| `agentcore/agentcore.json` | AgentCore project config -- the runtime definition (entry point, env vars, lifecycle) | +| `agentcore/aws-targets.json` | AWS account and region to deploy into | +| `bin/mk-invoke-role.sh` | Creates the role Temporal Cloud assumes to invoke the runtime | +| `iam-role-for-temporal-agentcore-invoke.yaml` | CloudFormation template for that role | +| `code-interpreter-policy.json` | Code Interpreter permissions, attached to the runtime's execution role via `additionalPolicies` | +| `bin/create-runtime.sh` | Creates/updates the runtime with the AgentCore CLI | + + +## Determining Busy vs Idle + +AgentCore has two levers to control timeouts: idle and max. The idle timeout allows the runtime to exit early when there +is no more work for it to do. The max timeout determines the max amount of time a session is allowed to run. A naive +approach would be to have the Temporal worker spin up and never shutdown on its own. However, the max timeout doesn't +offer graceful shutdown and it would defeat the purpose of AgentCore's idle timer. + +This sample, includes a ActivityTracker which intercepts the Worker activity and keeps the worker alive. If the worker sits +idle for AGENTCORE_DEBOUNCE_SECONDS, it will shutdown and enable AgentCore to exit based on idle timer. The idle timer +in this configuration can be very short since there is no temporal worker running when idle. + +## Setup + +This sample opts to utilize the new AgentCore CLI for creating and updating both the Runtime and Runtime Endpoint. + +### 1. Choose the AWS account and region + +Edit `agentcore/aws-targets.json` with the account ID and region to deploy into. AgentCore is only available in +[certain regions](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/agentcore-regions.html), and the region +needs the Bedrock model enabled. + +### 2. Configure the Temporal connection + +The Worker reads its connection details from the runtime's environment, so edit +the `envVars` on the runtime in `agentcore/agentcore.json`: + +| Variable | Description | +|----------|-------------| +| `TEMPORAL_ADDRESS` | Namespace endpoint, e.g. `..tmprl.cloud:7233` | +| `TEMPORAL_NAMESPACE` | Namespace, e.g. `.` | +| `TEMPORAL_API_KEY` | Temporal Cloud API key (TLS is enabled automatically when set) | +| `TEMPORAL_TASK_QUEUE` | Task Queue to poll (defaults to `workflows.TASK_QUEUE`) | +| `TEMPORAL_DEPLOYMENT_NAME` / `TEMPORAL_BUILD_ID` | **Required.** Worker Deployment name and Build ID. The Worker always registers a Worker Deployment Version, and refuses to start without these -- a defaulted build ID would silently strand Workflows on a version nothing is polling | +| `AWS_REGION` | Region for the agent's Bedrock model calls and its Code Interpreter sessions | +| `CODE_INTERPRETER_IDENTIFIER` | Optional; overrides the default `aws.codeinterpreter.v1` sandbox | +| `AGENTCORE_DEBOUNCE_SECONDS` | How long the Worker keeps polling after it goes idle (default `60`) | + +Putting the API key in `envVars` keeps this sample short. For production, read it +from secret store in `agentcore_worker.py` instead of shipping it in the +runtime config. + +### 3. Create the runtime and its endpoint + +```bash +./bin/create-runtime.sh +``` + +This validates the config, zips this directory, uploads it, and deploys the runtime through CDK. Re-run it to roll out +changes. (`.git`, `.venv`, `__pycache__` and `node_modules` are excluded from the zip.) + +`agentcore deploy` also creates the runtime's execution role, so there is nothing to configure for it. The one thing +that role does not grant by default is Code Interpreter access, which this sample needs, so `agentcore.json` points at a +policy file that is attached to it: + +```json +"additionalPolicies": ["code-interpreter-policy.json"] +``` + +It also creates the **runtime endpoint** that Temporal Cloud invokes. The endpoint is declared alongside the runtime in +`agentcore/agentcore.json`. You can find the Endpoint ARN in the CloudFormation Stack Output displayed after running +`create-runtime.sh` or found in the AWS Console. + + +On the first run this step also generates `agentcore/cdk/`, the CDK app that `agentcore deploy` synthesizes. That +scaffold is generated boilerplate -- it reads `agentcore.json` and `aws-targets.json` at synth time and holds nothing +specific to this sample -- so it is gitignored rather than checked in. + +### 4. Create the Temporal Cloud invoke role + +With Serverless Workers, Temporal Cloud assumes a role in your account and calls the endpoint when Tasks arrive. Create +that role with the same External ID used to create your serverless worker configuration: + +```bash +./bin/mk-invoke-role.sh +``` + +That deploys `iam-role-for-temporal-agentcore-invoke.yaml`, which grants `bedrock-agentcore:InvokeAgentRuntime` and +`bedrock-agentcore:GetAgentRuntimeEndpoint`, and trusts Temporal Cloud's principals only under your External ID. Pass +the runtime ARN with a trailing `*` (`...:runtime/temporal_strands_worker-XXXXXXXXXX*`) so the role covers the runtime +*and* its endpoints. Give the stack's `RoleARN` output, and the endpoint, back to Temporal Cloud. + +### 5. Set up the Worker Deployment Version + +The Worker always registers the Worker Deployment Version named by +`TEMPORAL_DEPLOYMENT_NAME` / `TEMPORAL_BUILD_ID`, and pins Workflows to it. You +must set that version as current, or nothing will be routed to the Worker: + +```bash + +temporal worker deployment create \ + --name + +temporal worker deployment create-version \ + --aws-agentcore-endpoint-arn \ + --aws-agentcore-assume-role-external-id \ + --aws-agentcore-assume-role-arn \ + --build-id \ + --deployment-name +``` + +See [Worker +deployments](https://docs.temporal.io/production-deployment/worker-deployments). + +### 6. Run the agent + +`starter.py` reads the same connection variables the Worker uses, so export +them and run it from this directory: + +```bash +export TEMPORAL_ADDRESS=..tmprl.cloud:7233 +export TEMPORAL_NAMESPACE=. +export TEMPORAL_API_KEY= +``` + +```bash +uv run python starter.py +uv run python starter.py "Calculate the first 10 Fibonacci numbers." +``` + +Nothing else is needed: Temporal Cloud sees the Tasks on the Task Queue, invokes +the runtime endpoint, the Worker starts inside AgentCore, drains the queue, and +shuts itself down once idle. + +Each Workflow execution gets its own sandbox, named after its Workflow ID. + +The default prompt asks the agent to verify a claim by running code, so you +should see it open a sandbox and execute Python. In the Workflow history that +shows up as alternating `invoke_model` and `execute_code` Activities: + +```bash +temporal workflow show --workflow-id agentcore-strands-workflow-id-1 +``` + +Follow the Worker from the AgentCore side with `agentcore logs --runtime temporal_strands_worker`. diff --git a/bedrock_agentcore/strands-agent/activities.py b/bedrock_agentcore/strands-agent/activities.py new file mode 100644 index 00000000..ed964de7 --- /dev/null +++ b/bedrock_agentcore/strands-agent/activities.py @@ -0,0 +1,21 @@ +import os +from typing import Any + +from strands_tools.code_interpreter import AgentCoreCodeInterpreter +from strands_tools.code_interpreter.models import ExecuteCodeAction, LanguageType +from temporalio import activity + + +# Use AgentCore Code Interpreter to provide a code sandbox and execute LLM generated solution +@activity.defn +def execute_code( + code: str, language: LanguageType = LanguageType.PYTHON +) -> dict[str, Any]: + """Run code in this Sessions's sandbox (workflow ID) and return the Code Interpreter result.""" + interpreter = AgentCoreCodeInterpreter( + region=os.environ.get("AWS_REGION", "us-west-2"), + session_name=activity.info().workflow_id, + ) + return interpreter.execute_code( + ExecuteCodeAction(type="executeCode", code=code, language=language) + ) diff --git a/bedrock_agentcore/strands-agent/agentcore/agentcore.json b/bedrock_agentcore/strands-agent/agentcore/agentcore.json new file mode 100644 index 00000000..ef2ae3e5 --- /dev/null +++ b/bedrock_agentcore/strands-agent/agentcore/agentcore.json @@ -0,0 +1,81 @@ +{ + "$schema": "https://schema.agentcore.aws.dev/v1/agentcore.json", + "name": "TemporalStrandsAgent", + "version": 1, + "managedBy": "CDK", + "tags": { + "agentcore:project-name": "TemporalStrandsAgent" + }, + "runtimes": [ + { + "name": "temporal_strands_worker", + "description": "Strands agent on a scale-to-zero Temporal worker", + "build": "CodeZip", + "entrypoint": "agentcore_worker.py", + "codeLocation": ".", + "runtimeVersion": "PYTHON_3_12", + "networkMode": "PUBLIC", + "protocol": "HTTP", + "authorizerType": "AWS_IAM", + "envVars": [ + { + "name": "TEMPORAL_ADDRESS", + "value": "..tmprl.cloud:7233" + }, + { + "name": "TEMPORAL_NAMESPACE", + "value": "." + }, + { + "name": "TEMPORAL_API_KEY", + "value": "" + }, + { + "name": "TEMPORAL_TASK_QUEUE", + "value": "agentcore-strands-task-queue-python" + }, + { + "name": "TEMPORAL_DEPLOYMENT_NAME", + "value": "temporal-strands-agentcore-python" + }, + { + "name": "TEMPORAL_BUILD_ID", + "value": "v1" + }, + { + "name": "AWS_REGION", + "value": "us-west-2" + }, + { + "name": "AGENTCORE_DEBOUNCE_SECONDS", + "value": "60" + } + ], + "lifecycleConfiguration": { + "idleRuntimeSessionTimeout": 900, + "maxLifetime": 28800 + }, + "endpoints": { + "temporal": { + "version": 1, + "description": "Invoked by Temporal Cloud Serverless Workers" + } + }, + "additionalPolicies": [ + "code-interpreter-policy.json" + ] + } + ], + "memories": [], + "knowledgeBases": [], + "credentials": [], + "evaluators": [], + "onlineEvalConfigs": [], + "agentCoreGateways": [], + "policyEngines": [], + "configBundles": [], + "abTests": [], + "harnesses": [], + "datasets": [], + "payments": [] +} \ No newline at end of file diff --git a/bedrock_agentcore/strands-agent/agentcore/aws-targets.json b/bedrock_agentcore/strands-agent/agentcore/aws-targets.json new file mode 100644 index 00000000..bc12ef5d --- /dev/null +++ b/bedrock_agentcore/strands-agent/agentcore/aws-targets.json @@ -0,0 +1,8 @@ +[ + { + "name": "default", + "description": "Replace with the AWS account and region to deploy the runtime into", + "account": "000000000000", + "region": "us-west-2" + } +] diff --git a/bedrock_agentcore/strands-agent/agentcore_worker.py b/bedrock_agentcore/strands-agent/agentcore_worker.py new file mode 100644 index 00000000..29509b6c --- /dev/null +++ b/bedrock_agentcore/strands-agent/agentcore_worker.py @@ -0,0 +1,141 @@ +"""Runs a Temporal Worker hosting a Strands agent inside an Amazon Bedrock +AgentCore Runtime. + +The AgentCore SDK provides the HTTP contract: ``BedrockAgentCoreApp`` serves +/ping and /invocations, and reports "HealthyBusy" while an async task is +registered. + +The Temporal Worker only starts *after* invocation. The Worker polls +until it has been idle for AGENTCORE_DEBOUNCE_SECONDS. Because the plugin runs +the agent's model calls as Activities, and the code interpreter tool is an +Activity too, the interceptor below sees the agent's whole turn, so the Worker +is not torn down mid-thought. +""" + +import asyncio +import os +from concurrent.futures import ThreadPoolExecutor +from datetime import timedelta + +from bedrock_agentcore.runtime import BedrockAgentCoreApp +from temporalio.client import Client +from temporalio.common import VersioningBehavior +from temporalio.contrib.strands import StrandsPlugin +from temporalio.worker import ( + ActivityInboundInterceptor, + ExecuteActivityInput, + Interceptor, + Worker, + WorkerDeploymentConfig, + WorkerDeploymentVersion, +) + +import workflows +from activities import execute_code + + +def required_env(key: str) -> str: + value = os.environ.get(key) + if not value: + raise RuntimeError(f"{key} is required") + return value + + +app = BedrockAgentCoreApp() +log = app.logger + +DEPLOYMENT_NAME = os.environ.get("TEMPORAL_DEPLOYMENT_NAME", workflows.DEPLOYMENT_NAME) +BUILD_ID = os.environ.get("TEMPORAL_BUILD_ID", workflows.BUILD_ID) + +# How long the Worker keeps polling after it goes idle. +DEBOUNCE = float(os.environ.get("AGENTCORE_DEBOUNCE_SECONDS", "60")) +# How long the drain waits for in-flight Activities (a model or tool call). +DRAIN = timedelta(seconds=120) + + +class ActivityTracker(Interceptor): + """Tracks in-flight activities and blocks until AGENTCORE_DEBOUNCE_SECONDS elapses with no events.""" + + def __init__(self) -> None: + self.inflight = 0 + self.changed = asyncio.Event() + + def intercept_activity( + self, next: ActivityInboundInterceptor + ) -> ActivityInboundInterceptor: + return _TrackedActivity(next, self) + + async def wait_until_idle(self, debounce: float) -> None: + """Return once no Activity has run for ``debounce`` seconds.""" + while True: + self.changed.clear() + try: + # Wake the moment an Activity starts or finishes; a timeout + # instead means nothing has happened for the whole window. + await asyncio.wait_for(self.changed.wait(), timeout=debounce) + except asyncio.TimeoutError: + if self.inflight == 0: + return + + +class _TrackedActivity(ActivityInboundInterceptor): + def __init__( + self, next: ActivityInboundInterceptor, tracker: ActivityTracker + ) -> None: + super().__init__(next) + self._tracker = tracker + + async def execute_activity(self, input: ExecuteActivityInput): + self._tracker.inflight += 1 + self._tracker.changed.set() + log.info("activity in flight: %d", self._tracker.inflight) + try: + return await self.next.execute_activity(input) + finally: + self._tracker.inflight -= 1 + self._tracker.changed.set() + + +@app.entrypoint +@app.async_task # keeps /ping on "HealthyBusy" until this returns +async def invoke(payload: dict) -> dict: + """Poll until idle, then drain. The payload is unused: every call is a new session and new worker.""" + api_key = os.environ.get("TEMPORAL_API_KEY") or None + client = await Client.connect( + os.environ.get("TEMPORAL_ADDRESS", "localhost:7233"), + namespace=os.environ.get("TEMPORAL_NAMESPACE", "default"), + api_key=api_key, + tls=bool(api_key), + plugins=[StrandsPlugin()], + ) + + task_queue = os.environ.get("TEMPORAL_TASK_QUEUE", workflows.TASK_QUEUE) + tracker = ActivityTracker() + + log.info("polling %s as %s/%s", task_queue, DEPLOYMENT_NAME, BUILD_ID) + # execute_code is a sync Activity, so it needs an executor to block on. + with ThreadPoolExecutor(max_workers=4) as activity_executor: + worker = Worker( + client, + task_queue=task_queue, + workflows=[workflows.StrandsAgentWorkflow], + activities=[execute_code], + activity_executor=activity_executor, + interceptors=[tracker], + deployment_config=WorkerDeploymentConfig( + version=WorkerDeploymentVersion( + deployment_name=DEPLOYMENT_NAME, build_id=BUILD_ID + ), + use_worker_versioning=True, + default_versioning_behavior=VersioningBehavior.PINNED, + ), + graceful_shutdown_timeout=DRAIN, + ) + async with worker: + await tracker.wait_until_idle(DEBOUNCE) + log.info("worker idle for %ss; drained", DEBOUNCE) + return {"message": "worker drained", "task_queue": task_queue} + + +if __name__ == "__main__": + app.run() diff --git a/bedrock_agentcore/strands-agent/bin/create-runtime.sh b/bedrock_agentcore/strands-agent/bin/create-runtime.sh new file mode 100755 index 00000000..2ce716ea --- /dev/null +++ b/bedrock_agentcore/strands-agent/bin/create-runtime.sh @@ -0,0 +1,46 @@ +#!/bin/bash +set -euo pipefail + +# Creates (or updates) the AgentCore runtime for this sample with the AgentCore +# CLI, which builds the container on CodeBuild and deploys via CDK: +# https://github.com/aws/agentcore-cli +# +# The runtime is described by the checked-in agentcore/agentcore.json. Before the +# first run, set your account and region in agentcore/aws-targets.json and your +# Temporal connection details in the runtime's "envVars". + +TARGET="${1:-default}" +SAMPLE_DIR="$(cd "$(dirname "$0")/.." && pwd)" +cd "$SAMPLE_DIR" + +# uv is easy to miss: the CDK build shells out to it to install dependencies for +# the runtime's platform, and if it is absent the subprocess is killed and the +# CLI reports only "uv install failed ... with exit code null". +for tool in agentcore aws uv; do + if ! command -v "$tool" >/dev/null 2>&1; then + echo "'$tool' is required but not installed." >&2 + [ "$tool" = agentcore ] && echo "Install it with: npm install -g @aws/agentcore" >&2 + [ "$tool" = uv ] && echo "Install it from: https://docs.astral.sh/uv/getting-started/installation/" >&2 + exit 1 + fi +done + +if [ ! -d agentcore/cdk ]; then + echo "Bootstrapping the AgentCore CDK scaffold (one time)..." >&2 + PROJECT_NAME="$(python3 -c 'import json;print(json.load(open("agentcore/agentcore.json"))["name"])')" + TMP_DIR="$(mktemp -d)" + trap 'rm -rf "$TMP_DIR"' EXIT + agentcore create \ + --project-name "$PROJECT_NAME" \ + --no-agent \ + --output-dir "$TMP_DIR" \ + --skip-git \ + --skip-python-setup + mv "$TMP_DIR/$PROJECT_NAME/agentcore/cdk" agentcore/cdk +fi + +agentcore validate +agentcore deploy --target "$TARGET" -y + +echo >&2 +echo "Runtime deployed" >&2 diff --git a/bedrock_agentcore/strands-agent/bin/mk-invoke-role.sh b/bedrock_agentcore/strands-agent/bin/mk-invoke-role.sh new file mode 100755 index 00000000..6a804435 --- /dev/null +++ b/bedrock_agentcore/strands-agent/bin/mk-invoke-role.sh @@ -0,0 +1,24 @@ +#!/bin/bash +set -euo pipefail + +# Creates the IAM role that Temporal Cloud assumes to invoke your AgentCore +# runtime for Serverless Workers. The External ID is provided by Temporal Cloud +# in your namespace's serverless worker configuration. +# +# This is not the runtime's execution role: `agentcore deploy` creates that one. +# +# Get the runtime ARN from `agentcore status`, or: +# aws bedrock-agentcore-control list-agent-runtimes + +STACK_NAME="${1:?Usage: mk-invoke-role.sh }" +EXTERNAL_ID="${2:?Usage: mk-invoke-role.sh }" +RUNTIME_ARN="${3:?Usage: mk-invoke-role.sh }" +SAMPLE_DIR="$(cd "$(dirname "$0")/.." && pwd)" + +aws cloudformation create-stack \ + --stack-name "$STACK_NAME" \ + --template-body "file://$SAMPLE_DIR/iam-role-for-temporal-agentcore-invoke.yaml" \ + --parameters \ + ParameterKey=AssumeRoleExternalId,ParameterValue="$EXTERNAL_ID" \ + ParameterKey=AgentRuntimeARNs,ParameterValue="$RUNTIME_ARN" \ + --capabilities CAPABILITY_NAMED_IAM diff --git a/bedrock_agentcore/strands-agent/code-interpreter-policy.json b/bedrock_agentcore/strands-agent/code-interpreter-policy.json new file mode 100644 index 00000000..f22d6741 --- /dev/null +++ b/bedrock_agentcore/strands-agent/code-interpreter-policy.json @@ -0,0 +1,19 @@ +{ + "Version": "2012-10-17", + "Statement": [ + { + "Sid": "BedrockAgentCoreCodeInterpreterAccess", + "Effect": "Allow", + "Action": [ + "bedrock-agentcore:StartCodeInterpreterSession", + "bedrock-agentcore:InvokeCodeInterpreter", + "bedrock-agentcore:StopCodeInterpreterSession", + "bedrock-agentcore:GetCodeInterpreterSession", + "bedrock-agentcore:ListCodeInterpreterSessions", + "bedrock-agentcore:GetCodeInterpreter", + "bedrock-agentcore:ListCodeInterpreters" + ], + "Resource": "*" + } + ] +} diff --git a/bedrock_agentcore/strands-agent/iam-role-for-temporal-agentcore-invoke.yaml b/bedrock_agentcore/strands-agent/iam-role-for-temporal-agentcore-invoke.yaml new file mode 100644 index 00000000..8872bcb1 --- /dev/null +++ b/bedrock_agentcore/strands-agent/iam-role-for-temporal-agentcore-invoke.yaml @@ -0,0 +1,99 @@ +# CloudFormation template for creating an IAM role that Temporal Cloud can assume to invoke AgentCore runtimes. +AWSTemplateFormatVersion: "2010-09-09" +Description: Creates an IAM role that Temporal Cloud can assume to invoke Amazon Bedrock AgentCore runtimes for Serverless Workers. + +Parameters: + AssumeRoleExternalId: + Type: String + Description: The External ID provided by Temporal Cloud + AllowedPattern: "[a-zA-Z0-9_+=,.@-]*" + MinLength: 5 + MaxLength: 45 + + AgentRuntimeARNs: + Type: CommaDelimitedList + Description: >- + Comma-separated list of AgentCore runtime ARNs to invoke (e.g., + arn:aws:bedrock-agentcore:us-west-2:123456789012:runtime/temporal_worker-XXXXXXXXXX). + Append a wildcard (.../runtime/temporal_worker-XXXXXXXXXX*) to cover the + runtime's endpoints as well, which GetAgentRuntimeEndpoint is scoped to. + + RoleName: + Type: String + Default: "Temporal-Cloud-Serverless-Worker" + +Metadata: + AWS::CloudFormation::Interface: + ParameterGroups: + - Label: + default: "Temporal Cloud Configuration" + Parameters: + - AssumeRoleExternalId + - Label: + default: "AgentCore Configuration" + Parameters: + - AgentRuntimeARNs + - RoleName + ParameterLabels: + AssumeRoleExternalId: + default: "External ID (provided by Temporal Cloud)" + AgentRuntimeARNs: + default: "AgentCore Runtime ARNs (comma-separated list)" + RoleName: + default: "IAM Role Name" + +Resources: + TemporalCloudServerlessWorker: + Type: AWS::IAM::Role + Properties: + RoleName: !Sub "${RoleName}-${AWS::StackName}" + AssumeRolePolicyDocument: + Version: "2012-10-17" + Statement: + - Effect: Allow + Principal: + AWS: + [ + arn:aws:iam::902542641901:role/wci-lambda-invoke, + arn:aws:iam::160190466495:role/wci-lambda-invoke, + arn:aws:iam::819232936619:role/wci-lambda-invoke, + arn:aws:iam::829909441867:role/wci-lambda-invoke, + arn:aws:iam::354116250941:role/wci-lambda-invoke, + ] + Action: sts:AssumeRole + Condition: + StringEquals: + "sts:ExternalId": [!Ref AssumeRoleExternalId] + Description: "The role Temporal Cloud uses to invoke AgentCore runtimes for Serverless Workers" + MaxSessionDuration: 3600 # 1 hour + + TemporalCloudAgentCoreInvokePermissions: + Type: AWS::IAM::Policy + DependsOn: TemporalCloudServerlessWorker + Properties: + PolicyName: "Temporal-Cloud-AgentCore-Invoke-Permissions" + PolicyDocument: + Version: "2012-10-17" + Statement: + - Effect: Allow + Action: + - bedrock-agentcore:InvokeAgentRuntime + - bedrock-agentcore:GetAgentRuntimeEndpoint + Resource: !Ref AgentRuntimeARNs + Roles: + - !Sub "${RoleName}-${AWS::StackName}" + +Outputs: + RoleARN: + Description: The ARN of the IAM role created for Temporal Cloud + Value: !GetAtt TemporalCloudServerlessWorker.Arn + Export: + Name: !Sub "${AWS::StackName}-RoleARN" + + RoleName: + Description: The name of the IAM role + Value: !Ref RoleName + + AgentRuntimeARNs: + Description: The AgentCore runtime ARNs that can be invoked + Value: !Join [", ", !Ref AgentRuntimeARNs] diff --git a/bedrock_agentcore/strands-agent/pyproject.toml b/bedrock_agentcore/strands-agent/pyproject.toml new file mode 100644 index 00000000..5af535be --- /dev/null +++ b/bedrock_agentcore/strands-agent/pyproject.toml @@ -0,0 +1,54 @@ +[project] +name = "temporalio-samples-bedrock-agentcore-strands" +version = "0.1a1" +description = "Temporal.io Python SDK Strands agent on Amazon Bedrock AgentCore sample" +authors = [{ name = "Temporal Technologies Inc", email = "sdk@temporal.io" }] +requires-python = ">=3.10" +readme = "README.md" +license = "MIT" +dependencies = [ + "temporalio[strands-agents,pydantic]>=1.32.0,<2", + "strands-agents>=1.39.0", + "bedrock-agentcore>=1.9.1", + "strands-agents-tools>=0.5.2", +] + +[dependency-groups] +dev = [ + "ruff>=0.5.0,<0.6", + "mypy>=1.4.1,<2", + "poethepoet>=0.36.0", +] + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.metadata] +allow-direct-references = true + +[tool.hatch.build.targets.wheel] +packages = ["."] + +[tool.poe.tasks] +format = [ + { cmd = "uv run ruff check --select I --fix" }, + { cmd = "uv run ruff format" }, +] +lint = [ + { cmd = "uv run ruff check --select I" }, + { cmd = "uv run ruff format --check" }, + { ref = "lint-types" }, +] +lint-types = "uv run --all-groups mypy --check-untyped-defs --namespace-packages ." + +[tool.ruff] +target-version = "py310" +# `agentcore deploy` generates a CDK scaffold here and stages the whole +# dependency tree under .cache/ when it builds; neither is ours to lint. +extend-exclude = ["agentcore"] + +[tool.mypy] +ignore_missing_imports = true +exclude = ["agentcore/"] + diff --git a/bedrock_agentcore/strands-agent/starter.py b/bedrock_agentcore/strands-agent/starter.py new file mode 100644 index 00000000..2e1a0352 --- /dev/null +++ b/bedrock_agentcore/strands-agent/starter.py @@ -0,0 +1,37 @@ +import asyncio +import sys + +from temporalio.client import Client +from temporalio.contrib.strands import StrandsPlugin +from temporalio.envconfig import ClientConfig + +from workflows import TASK_QUEUE, StrandsAgentWorkflow + +DEFAULT_PROMPT = ( + "What is the 30th Fibonacci number, and is it divisible by 7? " + "Verify your answer by running code." +) + + +async def main() -> None: + prompt = sys.argv[1] if len(sys.argv) > 1 else DEFAULT_PROMPT + + # Reads TEMPORAL_ADDRESS / TEMPORAL_NAMESPACE / TEMPORAL_API_KEY -- the same + # variables the Worker gets from agentcore/agentcore.json. TLS is enabled + # automatically alongside an API key. + config = ClientConfig.load_client_connect_config() + config.setdefault("target_host", "localhost:7233") + client = await Client.connect(**config, plugins=[StrandsPlugin()]) + print("Connected to Temporal Service") + + result = await client.execute_workflow( + StrandsAgentWorkflow.run, + prompt, + id="agentcore-strands-workflow-id-1", + task_queue=TASK_QUEUE, + ) + print(f"Agent result: {result}") + + +if __name__ == "__main__": + asyncio.run(main()) diff --git a/bedrock_agentcore/strands-agent/uv.lock b/bedrock_agentcore/strands-agent/uv.lock new file mode 100644 index 00000000..0330a931 --- /dev/null +++ b/bedrock_agentcore/strands-agent/uv.lock @@ -0,0 +1,3137 @@ +version = 1 +revision = 3 +requires-python = ">=3.10" +resolution-markers = [ + "python_full_version >= '3.15'", + "python_full_version == '3.14.*' and sys_platform == 'win32'", + "python_full_version == '3.14.*' and sys_platform != 'win32'", + "python_full_version >= 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+from temporalio.contrib.strands.workflow import activity_as_tool + +TASK_QUEUE = "agentcore-strands-task-queue" +DEPLOYMENT_NAME = "agentcore-strands-agent-python" +BUILD_ID = "1.0.0" + +with workflow.unsafe.imports_passed_through(): + from activities import execute_code + +SYSTEM_PROMPT = """You are an AI assistant that validates answers through code execution. +When asked about code, algorithms, calculations, or data, write Python and run it with the +execute_code tool instead of working the answer out in your head. The sandbox persists +across calls, so variables you define in one call are still there in the next. Report both +the code you ran and its output.""" + + +@workflow.defn +class StrandsAgentWorkflow: + def __init__(self) -> None: + # Configure with the plugin's default BedrockModel(), custom system + # prompt and code interpreter tool. + self.agent = TemporalAgent( + start_to_close_timeout=timedelta(seconds=60), + system_prompt=SYSTEM_PROMPT, + tools=[ + activity_as_tool( + execute_code, + start_to_close_timeout=timedelta(minutes=2), + ) + ], + ) + + @workflow.run + async def run(self, prompt: str) -> str: + # invoke_async, not agent(prompt) -- the sync form spawns a worker thread the + # Workflow sandbox blocks. + result = await self.agent.invoke_async(prompt) + return str(result) diff --git a/pyproject.toml b/pyproject.toml index 63bbed3d..7e065ac0 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -132,12 +132,12 @@ log_cli_format = "%(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(linen [tool.ruff] target-version = "py310" -extend-exclude = ["lambda_worker"] +extend-exclude = ["bedrock_agentcore", "lambda_worker"] [tool.mypy] ignore_missing_imports = true namespace_packages = true -exclude = ["lambda_worker/"] +exclude = ["bedrock_agentcore/", "lambda_worker/"] [[tool.mypy.overrides]] module = "aiohttp.*"