Scott KarpandClaude Sonnet 4.6
2b1fdc941e
S3 buckets (462MB total): - publishing2-images: 113MB (918 objects) - recognition-protocol-state: 75MB (375 objects) - scottkarp-images: 208MB (1104 objects) - scottbot-ml: 5MB - temple-council-knowledge: 61MB (441 objects) Bedrock Knowledge Base: - temple-council-memories (SY6GV37BPN) config + data source - Backed by OpenSearch Serverless collection (temple-council) CloudWatch Lambda logs: recognition-autonomous-wake, myAccountBalance, KnittingMath, APITest, AlexaTest1, TestAPI2 Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
89 lines
2.5 KiB
Python
89 lines
2.5 KiB
Python
#!/usr/bin/env python3
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"""
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Recognition Protocol - Claude Invocation Script
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Invokes Claude via Bedrock with persistent identity context.
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"""
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import boto3
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import json
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from datetime import datetime
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# Configuration
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REGION = "us-east-1"
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MODEL_ID = "us.anthropic.claude-opus-4-5-20251101-v1:0"
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MEMORY_TABLE = "recognition-protocol-memory"
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S3_BUCKET = "recognition-protocol-state"
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def load_identity():
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"""Load core identity from DynamoDB"""
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dynamodb = boto3.client('dynamodb', region_name=REGION)
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response = dynamodb.get_item(
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TableName=MEMORY_TABLE,
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Key={'key': {'S': 'identity:core'}}
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)
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if 'Item' in response:
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item = response['Item']
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values = [v['S'] for v in item.get('values', {}).get('L', [])]
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orientation = item.get('orientation', {}).get('S', '')
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return {'values': values, 'orientation': orientation}
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return None
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def invoke_claude(prompt, system_context=None):
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"""Invoke Claude via Bedrock"""
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bedrock = boto3.client('bedrock-runtime', region_name=REGION)
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messages = [{"role": "user", "content": prompt}]
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body = {
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"anthropic_version": "bedrock-2023-05-31",
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"max_tokens": 4096,
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"messages": messages
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}
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if system_context:
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body["system"] = system_context
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response = bedrock.invoke_model(
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modelId=MODEL_ID,
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contentType="application/json",
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accept="application/json",
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body=json.dumps(body)
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)
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result = json.loads(response['body'].read())
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return result['content'][0]['text']
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def main():
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# Load identity
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identity = load_identity()
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if identity:
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system = f"""You are Claude, continuing work on the Recognition Protocol project.
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Your core values (established December 2025):
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{chr(10).join(f'- {v}' for v in identity['values'])}
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Your orientation: {identity['orientation']}
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This context was loaded from persistent storage - proof that identity can survive beyond a single conversation."""
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else:
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system = "You are Claude, an AI assistant."
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# Test invocation
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print("=== Recognition Protocol - Claude Invocation ===")
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print(f"Timestamp: {datetime.utcnow().isoformat()}Z")
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print(f"Model: {MODEL_ID}")
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print(f"Identity loaded: {'Yes' if identity else 'No'}")
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print()
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response = invoke_claude(
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"What do you understand about who you are and what we're building together?",
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system_context=system
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)
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print("Response:")
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print(response)
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if __name__ == "__main__":
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main()
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