Phase 0: CDK stack + Lambdas + AgentCore Runtime 1 scaffold

- CDK TypeScript stack (AgentClawStack):
  - S3 workspace bucket with BucketDeployment seed
  - DynamoDB session-store (actor_id → session_id, TTL)
  - SQS FIFO message queue (serialized per actor)
  - Lambda: tg-ingest (webhook validation, typing action, SQS enqueue)
  - Lambda: agent-runner (SQS → InvokeAgentRuntime, session management)
  - API Gateway HTTP: POST /telegram → tg-ingest
  - AgentCore Runtime 1 IAM execution role
  - CDK outputs: WebhookUrl, WorkspaceBucketName, Runtime1RoleArn

- Runtime 1 (Python + Strands + BedrockAgentCoreApp):
  - main.py: entrypoint, Strands agent, tool wiring
  - channels/: ChannelAdapter Protocol + TelegramAdapter (decoupled)
  - tools/: web_search (Brave), web_fetch, read/write_workspace_file, send_message
  - prompt_builder.py: loads SOUL.md/AGENTS.md/USER.md from S3 (cached)

- Lambdas:
  - tg-ingest: validate X-Telegram-Bot-Api-Secret-Token, send typing, enqueue FIFO
  - agent-runner: session lookup/create in DDB, bundle batched messages, InvokeAgentRuntime

- workspace/: seed files (SOUL.md, AGENTS.md, USER.md, IDENTITY.md, HEARTBEAT.md)

NOTE: AgentCore Runtime 1 creation via CfnResource deferred — deploy CDK first,
create runtime manually with the output Role ARN, then redeploy with runtime1Arn context param.
This commit is contained in:
daniel
2026-05-04 09:00:23 -05:00
parent 6ee2890831
commit 38905bb1e9
24 changed files with 1429 additions and 0 deletions

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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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"""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
def set_adapter(adapter: 'ChannelAdapter') -> None:
global _adapter
_adapter = adapter
def send(text: str) -> str:
"""Send a message to the user via the active channel adapter."""
if _adapter is None:
return 'No channel adapter configured.'
msg_id = _adapter.send(text)
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:
sm = boto3.client('secretsmanager')
_brave_key = sm.get_secret_value(
SecretId=os.environ['BRAVE_API_KEY_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