Read model-id from SSM and pass to BedrockModel in main.py

agentclaw/app/agent_claw_main/config.py

@@ -0,0 +1,25 @@
+"""Config loader — fetches model IDs from SSM Parameter Store at cold start."""
+
+import boto3
+
+_DEFAULTS = {
+    '/agent-claw/config/agent_model_id': 'us.anthropic.claude-sonnet-4-6',
+    '/agent-claw/config/compaction_model_id': 'us.anthropic.claude-3-5-haiku-20241022-v1:0',
+}
+
+
+def _load():
+    ssm = boto3.client('ssm', region_name='us-east-1')
+    names = list(_DEFAULTS.keys())
+    try:
+        resp = ssm.get_parameters(Names=names)
+        found = {p['Name']: p['Value'] for p in resp['Parameters']}
+    except Exception:
+        found = {}
+    return {name: found.get(name, default) for name, default in _DEFAULTS.items()}
+
+
+_params = _load()
+
+AGENT_MODEL_ID: str = _params['/agent-claw/config/agent_model_id']
+COMPACTION_MODEL_ID: str = _params['/agent-claw/config/compaction_model_id']

agentclaw/app/agent_claw_main/main.py

@@ -11,6 +11,7 @@ from bedrock_agentcore.runtime import BedrockAgentCoreApp
 from channels.telegram import TelegramAdapter
 from prompt_builder import build_system_prompt, invalidate_prompt
 import memory_manager
+import config
 from tools import web as web_tools
 from tools import workspace as ws_tools
 from tools import messaging
@@ -378,7 +379,7 @@ async def main(payload: dict, context):
     # NOTE: extended thinking disabled — causes retry/duplicate issues with streaming
     from botocore.config import Config as BotoConfig
     model = BedrockModel(
-        model_id="us.anthropic.claude-sonnet-4-6",
+        model_id=config.AGENT_MODEL_ID,
         region_name="us-east-1",
         boto_client_config=BotoConfig(read_timeout=600, connect_timeout=10),
     )

agentclaw/app/agent_claw_main/memory_manager.py

@@ -10,13 +10,14 @@ import boto3
 
 from bedrock_agentcore.memory.client import MemoryClient
 
+import config
+
 logger = logging.getLogger(__name__)
 
 MEMORY_ID = 'agentclaw_AgentClawMemory-i7Csf776AH'
 SESSION_WINDOW_SIZE = 100
 USERS_TABLE_NAME = os.environ.get('USERS_TABLE_NAME', 'agent-claw-users')
 LTM_SESSION_ID = 'ltm-extractions'
-HAIKU_MODEL_ID = 'us.anthropic.claude-3-5-haiku-20241022-v1:0'
 
 _memory_client: MemoryClient | None = None
 
@@ -110,7 +111,7 @@ def _call_claude_extraction(conversation_text: str) -> dict:
         'Conversation:\n' + conversation_text
     )
     resp = bedrock.converse(
-        modelId=HAIKU_MODEL_ID,
+        modelId=config.COMPACTION_MODEL_ID,
         messages=[{'role': 'user', 'content': [{'text': prompt}]}],
         inferenceConfig={'maxTokens': 1024},
     )

src/runtime-1/main.py

@@ -4,7 +4,9 @@ agent-claw Runtime 1 — main assistant agent.
 Entrypoint for AgentCore CodeZip deployment.
 """
 import os
+import boto3
 from strands import Agent, tool
+from strands.models import BedrockModel
 from bedrock_agentcore.runtime import BedrockAgentCoreApp
 
 from channels.telegram import TelegramAdapter
@@ -15,6 +17,10 @@ from tools import messaging
 
 app = BedrockAgentCoreApp()
 
+# Read model ID from SSM once at module load (cached for warm invocations)
+_ssm = boto3.client("ssm", region_name=os.environ.get("AWS_REGION_NAME", "us-east-1"))
+_model_id = _ssm.get_parameter(Name="/agent-claw/model-id")["Parameter"]["Value"]
+
 
 # ── Tool definitions ──────────────────────────────────────────────────────
 
@@ -77,6 +83,7 @@ def main(payload: dict, context) -> dict:
 
     # Create and run Strands agent
     agent = Agent(
+        model=BedrockModel(model_id=_model_id),
         system_prompt=system_prompt,
         tools=[send_message, web_search, web_fetch, read_workspace_file, write_workspace_file],
     )